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Cleared outputs, set some init cells
[ou-jupyter-r-demo.git] / accidents-regression.ipynb
1 {
2 "cells": [
3 {
4 "cell_type": "code",
5 "execution_count": 1,
6 "metadata": {},
7 "outputs": [
8 {
9 "name": "stderr",
10 "output_type": "stream",
11 "text": [
12 "── Attaching packages ─────────────────────────────────────── tidyverse 1.2.1 ──\n",
13 "✔ ggplot2 2.2.1 ✔ purrr 0.2.4\n",
14 "✔ tibble 1.4.2 ✔ dplyr 0.7.4\n",
15 "✔ tidyr 0.8.0 ✔ stringr 1.2.0\n",
16 "✔ readr 1.1.1 ✔ forcats 0.2.0\n",
17 "── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n",
18 "✖ dplyr::filter() masks stats::filter()\n",
19 "✖ dplyr::lag() masks stats::lag()\n",
20 "\n",
21 "Attaching package: ‘lubridate’\n",
22 "\n",
23 "The following object is masked from ‘package:base’:\n",
24 "\n",
25 " date\n",
26 "\n"
27 ]
28 }
29 ],
30 "source": [
31 "library(tidyverse)\n",
32 "library(mongolite)\n",
33 "library(lubridate)"
34 ]
35 },
36 {
37 "cell_type": "code",
38 "execution_count": 2,
39 "metadata": {},
40 "outputs": [],
41 "source": [
42 "library(mongolite)\n",
43 "accidents <- mongo(\"accidents\", db='accidents', url=\"mongodb://localhost\")\n",
44 "roads <- mongo(\"roads\", db='accidents', url=\"mongodb://localhost\")"
45 ]
46 },
47 {
48 "cell_type": "code",
49 "execution_count": 3,
50 "metadata": {},
51 "outputs": [
52 {
53 "data": {
54 "text/plain": [
55 "<Mongo collection> 'accidents' \n",
56 " $aggregate(pipeline = \"{}\", options = \"{\\\"allowDiskUse\\\":true}\", handler = NULL, pagesize = 1000) \n",
57 " $count(query = \"{}\") \n",
58 " $distinct(key, query = \"{}\") \n",
59 " $drop() \n",
60 " $export(con = stdout(), bson = FALSE) \n",
61 " $find(query = \"{}\", fields = \"{\\\"_id\\\":0}\", sort = \"{}\", skip = 0, limit = 0, handler = NULL, pagesize = 1000) \n",
62 " $import(con, bson = FALSE) \n",
63 " $index(add = NULL, remove = NULL) \n",
64 " $info() \n",
65 " $insert(data, pagesize = 1000, stop_on_error = TRUE, ...) \n",
66 " $iterate(query = \"{}\", fields = \"{\\\"_id\\\":0}\", sort = \"{}\", skip = 0, limit = 0) \n",
67 " $mapreduce(map, reduce, query = \"{}\", sort = \"{}\", limit = 0, out = NULL, scope = NULL) \n",
68 " $remove(query, just_one = FALSE) \n",
69 " $rename(name, db = NULL) \n",
70 " $replace(query, update = \"{}\", upsert = FALSE) \n",
71 " $update(query, update = \"{\\\"$set\\\":{}}\", filters = NULL, upsert = FALSE, multiple = FALSE) "
72 ]
73 },
74 "metadata": {},
75 "output_type": "display_data"
76 }
77 ],
78 "source": [
79 "accidents"
80 ]
81 },
82 {
83 "cell_type": "code",
84 "execution_count": 4,
85 "metadata": {},
86 "outputs": [
87 {
88 "data": {
89 "text/html": [
90 "1355615"
91 ],
92 "text/latex": [
93 "1355615"
94 ],
95 "text/markdown": [
96 "1355615"
97 ],
98 "text/plain": [
99 "[1] 1355615"
100 ]
101 },
102 "metadata": {},
103 "output_type": "display_data"
104 }
105 ],
106 "source": [
107 "accidents$count('{}')"
108 ]
109 },
110 {
111 "cell_type": "code",
112 "execution_count": 5,
113 "metadata": {},
114 "outputs": [
115 {
116 "data": {
117 "text/html": [
118 "292738"
119 ],
120 "text/latex": [
121 "292738"
122 ],
123 "text/markdown": [
124 "292738"
125 ],
126 "text/plain": [
127 "[1] 292738"
128 ]
129 },
130 "metadata": {},
131 "output_type": "display_data"
132 }
133 ],
134 "source": [
135 "roads$count('{}')"
136 ]
137 },
138 {
139 "cell_type": "code",
140 "execution_count": 6,
141 "metadata": {},
142 "outputs": [
143 {
144 "data": {
145 "text/plain": [
146 "$`1st_Road_Class`\n",
147 "[1] 3\n",
148 "\n",
149 "$`1st_Road_Number`\n",
150 "[1] 3218\n",
151 "\n",
152 "$`2nd_Road_Class`\n",
153 "[1] -1\n",
154 "\n",
155 "$`2nd_Road_Number`\n",
156 "[1] 0\n",
157 "\n",
158 "$Accident_Index\n",
159 "[1] \"200501BS00001\"\n",
160 "\n",
161 "$Accident_Severity\n",
162 "[1] 2\n",
163 "\n",
164 "$Carriageway_Hazards\n",
165 "[1] 0\n",
166 "\n",
167 "$Casualties\n",
168 "$Casualties[[1]]\n",
169 "$Casualties[[1]]$Vehicle_Reference\n",
170 "[1] 1\n",
171 "\n",
172 "$Casualties[[1]]$Casualty_Reference\n",
173 "[1] 1\n",
174 "\n",
175 "$Casualties[[1]]$Casualty_Class\n",
176 "[1] 3\n",
177 "\n",
178 "$Casualties[[1]]$Sex_of_Casualty\n",
179 "[1] 1\n",
180 "\n",
181 "$Casualties[[1]]$Age_Band_of_Casualty\n",
182 "[1] 7\n",
183 "\n",
184 "$Casualties[[1]]$Casualty_Severity\n",
185 "[1] 2\n",
186 "\n",
187 "$Casualties[[1]]$Pedestrian_Location\n",
188 "[1] 1\n",
189 "\n",
190 "$Casualties[[1]]$Pedestrian_Movement\n",
191 "[1] 1\n",
192 "\n",
193 "$Casualties[[1]]$Car_Passenger\n",
194 "[1] 0\n",
195 "\n",
196 "$Casualties[[1]]$Bus_or_Coach_Passenger\n",
197 "[1] 0\n",
198 "\n",
199 "$Casualties[[1]]$Pedestrian_Road_Maintenance_Worker\n",
200 "[1] -1\n",
201 "\n",
202 "$Casualties[[1]]$Casualty_Type\n",
203 "[1] 0\n",
204 "\n",
205 "$Casualties[[1]]$Casualty_Home_Area_Type\n",
206 "[1] 1\n",
207 "\n",
208 "\n",
209 "\n",
210 "$Date\n",
211 "[1] \"04/01/2005\"\n",
212 "\n",
213 "$Datetime\n",
214 "[1] \"2005-01-04 17:42:00 GMT\"\n",
215 "\n",
216 "$Day_of_Week\n",
217 "[1] 3\n",
218 "\n",
219 "$Did_Police_Officer_Attend_Scene_of_Accident\n",
220 "[1] 1\n",
221 "\n",
222 "$Junction_Control\n",
223 "[1] -1\n",
224 "\n",
225 "$Junction_Detail\n",
226 "[1] 0\n",
227 "\n",
228 "$LSOA_of_Accident_Location\n",
229 "[1] \"E01002849\"\n",
230 "\n",
231 "$Latitude\n",
232 "[1] 51.4891\n",
233 "\n",
234 "$Light_Conditions\n",
235 "[1] 1\n",
236 "\n",
237 "$`Local_Authority_(District)`\n",
238 "[1] 12\n",
239 "\n",
240 "$`Local_Authority_(Highway)`\n",
241 "[1] \"E09000020\"\n",
242 "\n",
243 "$Location_Easting_OSGR\n",
244 "[1] 525680\n",
245 "\n",
246 "$Location_Northing_OSGR\n",
247 "[1] 178240\n",
248 "\n",
249 "$Longitude\n",
250 "[1] -0.19117\n",
251 "\n",
252 "$Number_of_Casualties\n",
253 "[1] 1\n",
254 "\n",
255 "$Number_of_Vehicles\n",
256 "[1] 1\n",
257 "\n",
258 "$`Pedestrian_Crossing-Human_Control`\n",
259 "[1] 0\n",
260 "\n",
261 "$`Pedestrian_Crossing-Physical_Facilities`\n",
262 "[1] 1\n",
263 "\n",
264 "$Police_Force\n",
265 "[1] 1\n",
266 "\n",
267 "$Road_Surface_Conditions\n",
268 "[1] 2\n",
269 "\n",
270 "$Road_Type\n",
271 "[1] 6\n",
272 "\n",
273 "$Special_Conditions_at_Site\n",
274 "[1] 0\n",
275 "\n",
276 "$Speed_limit\n",
277 "[1] 30\n",
278 "\n",
279 "$Time\n",
280 "[1] \"17:42\"\n",
281 "\n",
282 "$Urban_or_Rural_Area\n",
283 "[1] 1\n",
284 "\n",
285 "$Vehicles\n",
286 "$Vehicles[[1]]\n",
287 "$Vehicles[[1]]$Vehicle_Reference\n",
288 "[1] 1\n",
289 "\n",
290 "$Vehicles[[1]]$Vehicle_Type\n",
291 "[1] 9\n",
292 "\n",
293 "$Vehicles[[1]]$Towing_and_Articulation\n",
294 "[1] 0\n",
295 "\n",
296 "$Vehicles[[1]]$Vehicle_Manoeuvre\n",
297 "[1] 18\n",
298 "\n",
299 "$Vehicles[[1]]$`Vehicle_Location-Restricted_Lane`\n",
300 "[1] 0\n",
301 "\n",
302 "$Vehicles[[1]]$Junction_Location\n",
303 "[1] 0\n",
304 "\n",
305 "$Vehicles[[1]]$Skidding_and_Overturning\n",
306 "[1] 0\n",
307 "\n",
308 "$Vehicles[[1]]$Hit_Object_in_Carriageway\n",
309 "[1] 0\n",
310 "\n",
311 "$Vehicles[[1]]$Vehicle_Leaving_Carriageway\n",
312 "[1] 0\n",
313 "\n",
314 "$Vehicles[[1]]$Hit_Object_off_Carriageway\n",
315 "[1] 0\n",
316 "\n",
317 "$Vehicles[[1]]$`1st_Point_of_Impact`\n",
318 "[1] 1\n",
319 "\n",
320 "$Vehicles[[1]]$`Was_Vehicle_Left_Hand_Drive?`\n",
321 "[1] 1\n",
322 "\n",
323 "$Vehicles[[1]]$Journey_Purpose_of_Driver\n",
324 "[1] 15\n",
325 "\n",
326 "$Vehicles[[1]]$Sex_of_Driver\n",
327 "[1] 2\n",
328 "\n",
329 "$Vehicles[[1]]$Age_Band_of_Driver\n",
330 "[1] 10\n",
331 "\n",
332 "$Vehicles[[1]]$`Engine_Capacity_(CC)`\n",
333 "[1] -1\n",
334 "\n",
335 "$Vehicles[[1]]$Propulsion_Code\n",
336 "[1] -1\n",
337 "\n",
338 "$Vehicles[[1]]$Age_of_Vehicle\n",
339 "[1] -1\n",
340 "\n",
341 "$Vehicles[[1]]$Driver_IMD_Decile\n",
342 "[1] 7\n",
343 "\n",
344 "$Vehicles[[1]]$Driver_Home_Area_Type\n",
345 "[1] 1\n",
346 "\n",
347 "\n",
348 "\n",
349 "$Weather_Conditions\n",
350 "[1] 2\n",
351 "\n",
352 "$loc\n",
353 "$loc$type\n",
354 "[1] \"Point\"\n",
355 "\n",
356 "$loc$coordinates\n",
357 "$loc$coordinates[[1]]\n",
358 "[1] -0.19117\n",
359 "\n",
360 "$loc$coordinates[[2]]\n",
361 "[1] 51.4891\n",
362 "\n",
363 "\n"
364 ]
365 },
366 "metadata": {},
367 "output_type": "display_data"
368 }
369 ],
370 "source": [
371 "accidents$iterate()$one()"
372 ]
373 },
374 {
375 "cell_type": "code",
376 "execution_count": 7,
377 "metadata": {
378 "scrolled": true
379 },
380 "outputs": [
381 {
382 "data": {
383 "text/html": [
384 "<table>\n",
385 "<thead><tr><th scope=col>Datetime</th><th scope=col>_id</th></tr></thead>\n",
386 "<tbody>\n",
387 "\t<tr><td>2005-01-04 17:42:00 </td><td>52a9c93692c4e16686bebba9</td></tr>\n",
388 "\t<tr><td>2005-01-05 17:36:00 </td><td>52a9c93692c4e16686bebbaa</td></tr>\n",
389 "\t<tr><td>2005-01-07 10:35:00 </td><td>52a9c93692c4e16686bebbac</td></tr>\n",
390 "\t<tr><td>2005-01-06 00:15:00 </td><td>52a9c93692c4e16686bebbab</td></tr>\n",
391 "\t<tr><td>2005-01-10 21:13:00 </td><td>52a9c93692c4e16686bebbad</td></tr>\n",
392 "\t<tr><td>2005-01-11 12:40:00 </td><td>52a9c93692c4e16686bebbae</td></tr>\n",
393 "\t<tr><td>2005-01-13 20:40:00 </td><td>52a9c93692c4e16686bebbaf</td></tr>\n",
394 "\t<tr><td>2005-01-14 17:35:00 </td><td>52a9c93692c4e16686bebbb0</td></tr>\n",
395 "\t<tr><td>2005-01-15 22:43:00 </td><td>52a9c93692c4e16686bebbb1</td></tr>\n",
396 "\t<tr><td>2005-01-15 16:00:00 </td><td>52a9c93692c4e16686bebbb2</td></tr>\n",
397 "\t<tr><td>2005-01-16 00:42:00 </td><td>52a9c93692c4e16686bebbb3</td></tr>\n",
398 "\t<tr><td>2005-01-25 20:48:00 </td><td>52a9c93692c4e16686bebbb4</td></tr>\n",
399 "\t<tr><td>2005-01-11 12:55:00 </td><td>52a9c93692c4e16686bebbb5</td></tr>\n",
400 "\t<tr><td>2005-01-18 05:01:00 </td><td>52a9c93692c4e16686bebbb6</td></tr>\n",
401 "\t<tr><td>2005-01-18 11:15:00 </td><td>52a9c93692c4e16686bebbb7</td></tr>\n",
402 "\t<tr><td>2005-01-18 10:50:00 </td><td>52a9c93692c4e16686bebbb8</td></tr>\n",
403 "\t<tr><td>2005-01-20 00:15:00 </td><td>52a9c93692c4e16686bebbb9</td></tr>\n",
404 "\t<tr><td>2005-01-21 09:15:00 </td><td>52a9c93692c4e16686bebbba</td></tr>\n",
405 "\t<tr><td>2005-01-21 21:16:00 </td><td>52a9c93692c4e16686bebbbb</td></tr>\n",
406 "\t<tr><td>2005-01-08 03:00:00 </td><td>52a9c93692c4e16686bebbbc</td></tr>\n",
407 "\t<tr><td>2005-01-24 21:45:00 </td><td>52a9c93692c4e16686bebbbd</td></tr>\n",
408 "\t<tr><td>2005-01-19 16:35:00 </td><td>52a9c93692c4e16686bebbc2</td></tr>\n",
409 "\t<tr><td>2005-01-24 17:05:00 </td><td>52a9c93692c4e16686bebbbe</td></tr>\n",
410 "\t<tr><td>2005-01-24 21:30:00 </td><td>52a9c93692c4e16686bebbbf</td></tr>\n",
411 "\t<tr><td>2005-01-18 17:25:00 </td><td>52a9c93692c4e16686bebbc0</td></tr>\n",
412 "\t<tr><td>2005-01-29 07:34:00 </td><td>52a9c93692c4e16686bebbc1</td></tr>\n",
413 "\t<tr><td>2005-01-30 20:00:00 </td><td>52a9c93692c4e16686bebbc3</td></tr>\n",
414 "\t<tr><td>2005-01-29 13:15:00 </td><td>52a9c93692c4e16686bebbc4</td></tr>\n",
415 "\t<tr><td>2005-02-01 18:20:00 </td><td>52a9c93692c4e16686bebbc5</td></tr>\n",
416 "\t<tr><td>2005-02-02 07:25:00 </td><td>52a9c93692c4e16686bebbc6</td></tr>\n",
417 "\t<tr><td>⋮</td><td>⋮</td></tr>\n",
418 "\t<tr><td>2005-02-24 09:15:00 </td><td>52a9c93692c4e16686bebbef</td></tr>\n",
419 "\t<tr><td>2005-02-25 00:11:00 </td><td>52a9c93692c4e16686bebbf0</td></tr>\n",
420 "\t<tr><td>2005-02-23 19:00:00 </td><td>52a9c93692c4e16686bebbf1</td></tr>\n",
421 "\t<tr><td>2005-02-26 01:48:00 </td><td>52a9c93692c4e16686bebbf2</td></tr>\n",
422 "\t<tr><td>2005-02-23 07:58:00 </td><td>52a9c93692c4e16686bebbf3</td></tr>\n",
423 "\t<tr><td>2005-02-25 14:55:00 </td><td>52a9c93692c4e16686bebbf4</td></tr>\n",
424 "\t<tr><td>2005-02-25 08:22:00 </td><td>52a9c93692c4e16686bebbf5</td></tr>\n",
425 "\t<tr><td>2005-02-25 04:38:00 </td><td>52a9c93692c4e16686bebbf6</td></tr>\n",
426 "\t<tr><td>2005-03-04 13:20:00 </td><td>52a9c93692c4e16686bebbf7</td></tr>\n",
427 "\t<tr><td>2005-03-01 00:30:00 </td><td>52a9c93692c4e16686bebbf8</td></tr>\n",
428 "\t<tr><td>2005-02-28 19:30:00 </td><td>52a9c93692c4e16686bebbf9</td></tr>\n",
429 "\t<tr><td>2005-03-01 12:03:00 </td><td>52a9c93692c4e16686bebbfa</td></tr>\n",
430 "\t<tr><td>2005-02-14 23:03:00 </td><td>52a9c93692c4e16686bebbfb</td></tr>\n",
431 "\t<tr><td>2005-02-02 22:19:00 </td><td>52a9c93692c4e16686bebbfc</td></tr>\n",
432 "\t<tr><td>2005-03-03 14:30:00 </td><td>52a9c93692c4e16686bebbfd</td></tr>\n",
433 "\t<tr><td>2005-03-01 19:15:00 </td><td>52a9c93692c4e16686bebbfe</td></tr>\n",
434 "\t<tr><td>2005-03-01 18:31:00 </td><td>52a9c93692c4e16686bebbff</td></tr>\n",
435 "\t<tr><td>2005-03-05 02:58:00 </td><td>52a9c93692c4e16686bebc00</td></tr>\n",
436 "\t<tr><td>2005-03-01 10:40:00 </td><td>52a9c93692c4e16686bebc01</td></tr>\n",
437 "\t<tr><td>2005-03-08 23:40:00 </td><td>52a9c93692c4e16686bebc02</td></tr>\n",
438 "\t<tr><td>2005-03-03 21:07:00 </td><td>52a9c93692c4e16686bebc03</td></tr>\n",
439 "\t<tr><td>2005-03-05 18:40:00 </td><td>52a9c93692c4e16686bebc04</td></tr>\n",
440 "\t<tr><td>2005-03-05 16:55:00 </td><td>52a9c93692c4e16686bebc05</td></tr>\n",
441 "\t<tr><td>2005-03-08 13:36:00 </td><td>52a9c93692c4e16686bebc06</td></tr>\n",
442 "\t<tr><td>2005-03-06 01:05:00 </td><td>52a9c93692c4e16686bebc07</td></tr>\n",
443 "\t<tr><td>2005-03-08 12:20:00 </td><td>52a9c93692c4e16686bebc08</td></tr>\n",
444 "\t<tr><td>2005-03-14 17:35:00 </td><td>52a9c93692c4e16686bebc0c</td></tr>\n",
445 "\t<tr><td>2005-03-08 08:56:00 </td><td>52a9c93692c4e16686bebc09</td></tr>\n",
446 "\t<tr><td>2005-03-09 16:55:00 </td><td>52a9c93692c4e16686bebc0a</td></tr>\n",
447 "\t<tr><td>2005-03-09 15:35:00 </td><td>52a9c93692c4e16686bebc0b</td></tr>\n",
448 "</tbody>\n",
449 "</table>\n"
450 ],
451 "text/latex": [
452 "\\begin{tabular}{r|ll}\n",
453 " Datetime & \\_id\\\\\n",
454 "\\hline\n",
455 "\t 2005-01-04 17:42:00 & 52a9c93692c4e16686bebba9\\\\\n",
456 "\t 2005-01-05 17:36:00 & 52a9c93692c4e16686bebbaa\\\\\n",
457 "\t 2005-01-07 10:35:00 & 52a9c93692c4e16686bebbac\\\\\n",
458 "\t 2005-01-06 00:15:00 & 52a9c93692c4e16686bebbab\\\\\n",
459 "\t 2005-01-10 21:13:00 & 52a9c93692c4e16686bebbad\\\\\n",
460 "\t 2005-01-11 12:40:00 & 52a9c93692c4e16686bebbae\\\\\n",
461 "\t 2005-01-13 20:40:00 & 52a9c93692c4e16686bebbaf\\\\\n",
462 "\t 2005-01-14 17:35:00 & 52a9c93692c4e16686bebbb0\\\\\n",
463 "\t 2005-01-15 22:43:00 & 52a9c93692c4e16686bebbb1\\\\\n",
464 "\t 2005-01-15 16:00:00 & 52a9c93692c4e16686bebbb2\\\\\n",
465 "\t 2005-01-16 00:42:00 & 52a9c93692c4e16686bebbb3\\\\\n",
466 "\t 2005-01-25 20:48:00 & 52a9c93692c4e16686bebbb4\\\\\n",
467 "\t 2005-01-11 12:55:00 & 52a9c93692c4e16686bebbb5\\\\\n",
468 "\t 2005-01-18 05:01:00 & 52a9c93692c4e16686bebbb6\\\\\n",
469 "\t 2005-01-18 11:15:00 & 52a9c93692c4e16686bebbb7\\\\\n",
470 "\t 2005-01-18 10:50:00 & 52a9c93692c4e16686bebbb8\\\\\n",
471 "\t 2005-01-20 00:15:00 & 52a9c93692c4e16686bebbb9\\\\\n",
472 "\t 2005-01-21 09:15:00 & 52a9c93692c4e16686bebbba\\\\\n",
473 "\t 2005-01-21 21:16:00 & 52a9c93692c4e16686bebbbb\\\\\n",
474 "\t 2005-01-08 03:00:00 & 52a9c93692c4e16686bebbbc\\\\\n",
475 "\t 2005-01-24 21:45:00 & 52a9c93692c4e16686bebbbd\\\\\n",
476 "\t 2005-01-19 16:35:00 & 52a9c93692c4e16686bebbc2\\\\\n",
477 "\t 2005-01-24 17:05:00 & 52a9c93692c4e16686bebbbe\\\\\n",
478 "\t 2005-01-24 21:30:00 & 52a9c93692c4e16686bebbbf\\\\\n",
479 "\t 2005-01-18 17:25:00 & 52a9c93692c4e16686bebbc0\\\\\n",
480 "\t 2005-01-29 07:34:00 & 52a9c93692c4e16686bebbc1\\\\\n",
481 "\t 2005-01-30 20:00:00 & 52a9c93692c4e16686bebbc3\\\\\n",
482 "\t 2005-01-29 13:15:00 & 52a9c93692c4e16686bebbc4\\\\\n",
483 "\t 2005-02-01 18:20:00 & 52a9c93692c4e16686bebbc5\\\\\n",
484 "\t 2005-02-02 07:25:00 & 52a9c93692c4e16686bebbc6\\\\\n",
485 "\t ⋮ & ⋮\\\\\n",
486 "\t 2005-02-24 09:15:00 & 52a9c93692c4e16686bebbef\\\\\n",
487 "\t 2005-02-25 00:11:00 & 52a9c93692c4e16686bebbf0\\\\\n",
488 "\t 2005-02-23 19:00:00 & 52a9c93692c4e16686bebbf1\\\\\n",
489 "\t 2005-02-26 01:48:00 & 52a9c93692c4e16686bebbf2\\\\\n",
490 "\t 2005-02-23 07:58:00 & 52a9c93692c4e16686bebbf3\\\\\n",
491 "\t 2005-02-25 14:55:00 & 52a9c93692c4e16686bebbf4\\\\\n",
492 "\t 2005-02-25 08:22:00 & 52a9c93692c4e16686bebbf5\\\\\n",
493 "\t 2005-02-25 04:38:00 & 52a9c93692c4e16686bebbf6\\\\\n",
494 "\t 2005-03-04 13:20:00 & 52a9c93692c4e16686bebbf7\\\\\n",
495 "\t 2005-03-01 00:30:00 & 52a9c93692c4e16686bebbf8\\\\\n",
496 "\t 2005-02-28 19:30:00 & 52a9c93692c4e16686bebbf9\\\\\n",
497 "\t 2005-03-01 12:03:00 & 52a9c93692c4e16686bebbfa\\\\\n",
498 "\t 2005-02-14 23:03:00 & 52a9c93692c4e16686bebbfb\\\\\n",
499 "\t 2005-02-02 22:19:00 & 52a9c93692c4e16686bebbfc\\\\\n",
500 "\t 2005-03-03 14:30:00 & 52a9c93692c4e16686bebbfd\\\\\n",
501 "\t 2005-03-01 19:15:00 & 52a9c93692c4e16686bebbfe\\\\\n",
502 "\t 2005-03-01 18:31:00 & 52a9c93692c4e16686bebbff\\\\\n",
503 "\t 2005-03-05 02:58:00 & 52a9c93692c4e16686bebc00\\\\\n",
504 "\t 2005-03-01 10:40:00 & 52a9c93692c4e16686bebc01\\\\\n",
505 "\t 2005-03-08 23:40:00 & 52a9c93692c4e16686bebc02\\\\\n",
506 "\t 2005-03-03 21:07:00 & 52a9c93692c4e16686bebc03\\\\\n",
507 "\t 2005-03-05 18:40:00 & 52a9c93692c4e16686bebc04\\\\\n",
508 "\t 2005-03-05 16:55:00 & 52a9c93692c4e16686bebc05\\\\\n",
509 "\t 2005-03-08 13:36:00 & 52a9c93692c4e16686bebc06\\\\\n",
510 "\t 2005-03-06 01:05:00 & 52a9c93692c4e16686bebc07\\\\\n",
511 "\t 2005-03-08 12:20:00 & 52a9c93692c4e16686bebc08\\\\\n",
512 "\t 2005-03-14 17:35:00 & 52a9c93692c4e16686bebc0c\\\\\n",
513 "\t 2005-03-08 08:56:00 & 52a9c93692c4e16686bebc09\\\\\n",
514 "\t 2005-03-09 16:55:00 & 52a9c93692c4e16686bebc0a\\\\\n",
515 "\t 2005-03-09 15:35:00 & 52a9c93692c4e16686bebc0b\\\\\n",
516 "\\end{tabular}\n"
517 ],
518 "text/markdown": [
519 "\n",
520 "Datetime | _id | \n",
521 "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
522 "| 2005-01-04 17:42:00 | 52a9c93692c4e16686bebba9 | \n",
523 "| 2005-01-05 17:36:00 | 52a9c93692c4e16686bebbaa | \n",
524 "| 2005-01-07 10:35:00 | 52a9c93692c4e16686bebbac | \n",
525 "| 2005-01-06 00:15:00 | 52a9c93692c4e16686bebbab | \n",
526 "| 2005-01-10 21:13:00 | 52a9c93692c4e16686bebbad | \n",
527 "| 2005-01-11 12:40:00 | 52a9c93692c4e16686bebbae | \n",
528 "| 2005-01-13 20:40:00 | 52a9c93692c4e16686bebbaf | \n",
529 "| 2005-01-14 17:35:00 | 52a9c93692c4e16686bebbb0 | \n",
530 "| 2005-01-15 22:43:00 | 52a9c93692c4e16686bebbb1 | \n",
531 "| 2005-01-15 16:00:00 | 52a9c93692c4e16686bebbb2 | \n",
532 "| 2005-01-16 00:42:00 | 52a9c93692c4e16686bebbb3 | \n",
533 "| 2005-01-25 20:48:00 | 52a9c93692c4e16686bebbb4 | \n",
534 "| 2005-01-11 12:55:00 | 52a9c93692c4e16686bebbb5 | \n",
535 "| 2005-01-18 05:01:00 | 52a9c93692c4e16686bebbb6 | \n",
536 "| 2005-01-18 11:15:00 | 52a9c93692c4e16686bebbb7 | \n",
537 "| 2005-01-18 10:50:00 | 52a9c93692c4e16686bebbb8 | \n",
538 "| 2005-01-20 00:15:00 | 52a9c93692c4e16686bebbb9 | \n",
539 "| 2005-01-21 09:15:00 | 52a9c93692c4e16686bebbba | \n",
540 "| 2005-01-21 21:16:00 | 52a9c93692c4e16686bebbbb | \n",
541 "| 2005-01-08 03:00:00 | 52a9c93692c4e16686bebbbc | \n",
542 "| 2005-01-24 21:45:00 | 52a9c93692c4e16686bebbbd | \n",
543 "| 2005-01-19 16:35:00 | 52a9c93692c4e16686bebbc2 | \n",
544 "| 2005-01-24 17:05:00 | 52a9c93692c4e16686bebbbe | \n",
545 "| 2005-01-24 21:30:00 | 52a9c93692c4e16686bebbbf | \n",
546 "| 2005-01-18 17:25:00 | 52a9c93692c4e16686bebbc0 | \n",
547 "| 2005-01-29 07:34:00 | 52a9c93692c4e16686bebbc1 | \n",
548 "| 2005-01-30 20:00:00 | 52a9c93692c4e16686bebbc3 | \n",
549 "| 2005-01-29 13:15:00 | 52a9c93692c4e16686bebbc4 | \n",
550 "| 2005-02-01 18:20:00 | 52a9c93692c4e16686bebbc5 | \n",
551 "| 2005-02-02 07:25:00 | 52a9c93692c4e16686bebbc6 | \n",
552 "| ⋮ | ⋮ | \n",
553 "| 2005-02-24 09:15:00 | 52a9c93692c4e16686bebbef | \n",
554 "| 2005-02-25 00:11:00 | 52a9c93692c4e16686bebbf0 | \n",
555 "| 2005-02-23 19:00:00 | 52a9c93692c4e16686bebbf1 | \n",
556 "| 2005-02-26 01:48:00 | 52a9c93692c4e16686bebbf2 | \n",
557 "| 2005-02-23 07:58:00 | 52a9c93692c4e16686bebbf3 | \n",
558 "| 2005-02-25 14:55:00 | 52a9c93692c4e16686bebbf4 | \n",
559 "| 2005-02-25 08:22:00 | 52a9c93692c4e16686bebbf5 | \n",
560 "| 2005-02-25 04:38:00 | 52a9c93692c4e16686bebbf6 | \n",
561 "| 2005-03-04 13:20:00 | 52a9c93692c4e16686bebbf7 | \n",
562 "| 2005-03-01 00:30:00 | 52a9c93692c4e16686bebbf8 | \n",
563 "| 2005-02-28 19:30:00 | 52a9c93692c4e16686bebbf9 | \n",
564 "| 2005-03-01 12:03:00 | 52a9c93692c4e16686bebbfa | \n",
565 "| 2005-02-14 23:03:00 | 52a9c93692c4e16686bebbfb | \n",
566 "| 2005-02-02 22:19:00 | 52a9c93692c4e16686bebbfc | \n",
567 "| 2005-03-03 14:30:00 | 52a9c93692c4e16686bebbfd | \n",
568 "| 2005-03-01 19:15:00 | 52a9c93692c4e16686bebbfe | \n",
569 "| 2005-03-01 18:31:00 | 52a9c93692c4e16686bebbff | \n",
570 "| 2005-03-05 02:58:00 | 52a9c93692c4e16686bebc00 | \n",
571 "| 2005-03-01 10:40:00 | 52a9c93692c4e16686bebc01 | \n",
572 "| 2005-03-08 23:40:00 | 52a9c93692c4e16686bebc02 | \n",
573 "| 2005-03-03 21:07:00 | 52a9c93692c4e16686bebc03 | \n",
574 "| 2005-03-05 18:40:00 | 52a9c93692c4e16686bebc04 | \n",
575 "| 2005-03-05 16:55:00 | 52a9c93692c4e16686bebc05 | \n",
576 "| 2005-03-08 13:36:00 | 52a9c93692c4e16686bebc06 | \n",
577 "| 2005-03-06 01:05:00 | 52a9c93692c4e16686bebc07 | \n",
578 "| 2005-03-08 12:20:00 | 52a9c93692c4e16686bebc08 | \n",
579 "| 2005-03-14 17:35:00 | 52a9c93692c4e16686bebc0c | \n",
580 "| 2005-03-08 08:56:00 | 52a9c93692c4e16686bebc09 | \n",
581 "| 2005-03-09 16:55:00 | 52a9c93692c4e16686bebc0a | \n",
582 "| 2005-03-09 15:35:00 | 52a9c93692c4e16686bebc0b | \n",
583 "\n",
584 "\n"
585 ],
586 "text/plain": [
587 " Datetime _id \n",
588 "1 2005-01-04 17:42:00 52a9c93692c4e16686bebba9\n",
589 "2 2005-01-05 17:36:00 52a9c93692c4e16686bebbaa\n",
590 "3 2005-01-07 10:35:00 52a9c93692c4e16686bebbac\n",
591 "4 2005-01-06 00:15:00 52a9c93692c4e16686bebbab\n",
592 "5 2005-01-10 21:13:00 52a9c93692c4e16686bebbad\n",
593 "6 2005-01-11 12:40:00 52a9c93692c4e16686bebbae\n",
594 "7 2005-01-13 20:40:00 52a9c93692c4e16686bebbaf\n",
595 "8 2005-01-14 17:35:00 52a9c93692c4e16686bebbb0\n",
596 "9 2005-01-15 22:43:00 52a9c93692c4e16686bebbb1\n",
597 "10 2005-01-15 16:00:00 52a9c93692c4e16686bebbb2\n",
598 "11 2005-01-16 00:42:00 52a9c93692c4e16686bebbb3\n",
599 "12 2005-01-25 20:48:00 52a9c93692c4e16686bebbb4\n",
600 "13 2005-01-11 12:55:00 52a9c93692c4e16686bebbb5\n",
601 "14 2005-01-18 05:01:00 52a9c93692c4e16686bebbb6\n",
602 "15 2005-01-18 11:15:00 52a9c93692c4e16686bebbb7\n",
603 "16 2005-01-18 10:50:00 52a9c93692c4e16686bebbb8\n",
604 "17 2005-01-20 00:15:00 52a9c93692c4e16686bebbb9\n",
605 "18 2005-01-21 09:15:00 52a9c93692c4e16686bebbba\n",
606 "19 2005-01-21 21:16:00 52a9c93692c4e16686bebbbb\n",
607 "20 2005-01-08 03:00:00 52a9c93692c4e16686bebbbc\n",
608 "21 2005-01-24 21:45:00 52a9c93692c4e16686bebbbd\n",
609 "22 2005-01-19 16:35:00 52a9c93692c4e16686bebbc2\n",
610 "23 2005-01-24 17:05:00 52a9c93692c4e16686bebbbe\n",
611 "24 2005-01-24 21:30:00 52a9c93692c4e16686bebbbf\n",
612 "25 2005-01-18 17:25:00 52a9c93692c4e16686bebbc0\n",
613 "26 2005-01-29 07:34:00 52a9c93692c4e16686bebbc1\n",
614 "27 2005-01-30 20:00:00 52a9c93692c4e16686bebbc3\n",
615 "28 2005-01-29 13:15:00 52a9c93692c4e16686bebbc4\n",
616 "29 2005-02-01 18:20:00 52a9c93692c4e16686bebbc5\n",
617 "30 2005-02-02 07:25:00 52a9c93692c4e16686bebbc6\n",
618 "⋮ ⋮ ⋮ \n",
619 "71 2005-02-24 09:15:00 52a9c93692c4e16686bebbef\n",
620 "72 2005-02-25 00:11:00 52a9c93692c4e16686bebbf0\n",
621 "73 2005-02-23 19:00:00 52a9c93692c4e16686bebbf1\n",
622 "74 2005-02-26 01:48:00 52a9c93692c4e16686bebbf2\n",
623 "75 2005-02-23 07:58:00 52a9c93692c4e16686bebbf3\n",
624 "76 2005-02-25 14:55:00 52a9c93692c4e16686bebbf4\n",
625 "77 2005-02-25 08:22:00 52a9c93692c4e16686bebbf5\n",
626 "78 2005-02-25 04:38:00 52a9c93692c4e16686bebbf6\n",
627 "79 2005-03-04 13:20:00 52a9c93692c4e16686bebbf7\n",
628 "80 2005-03-01 00:30:00 52a9c93692c4e16686bebbf8\n",
629 "81 2005-02-28 19:30:00 52a9c93692c4e16686bebbf9\n",
630 "82 2005-03-01 12:03:00 52a9c93692c4e16686bebbfa\n",
631 "83 2005-02-14 23:03:00 52a9c93692c4e16686bebbfb\n",
632 "84 2005-02-02 22:19:00 52a9c93692c4e16686bebbfc\n",
633 "85 2005-03-03 14:30:00 52a9c93692c4e16686bebbfd\n",
634 "86 2005-03-01 19:15:00 52a9c93692c4e16686bebbfe\n",
635 "87 2005-03-01 18:31:00 52a9c93692c4e16686bebbff\n",
636 "88 2005-03-05 02:58:00 52a9c93692c4e16686bebc00\n",
637 "89 2005-03-01 10:40:00 52a9c93692c4e16686bebc01\n",
638 "90 2005-03-08 23:40:00 52a9c93692c4e16686bebc02\n",
639 "91 2005-03-03 21:07:00 52a9c93692c4e16686bebc03\n",
640 "92 2005-03-05 18:40:00 52a9c93692c4e16686bebc04\n",
641 "93 2005-03-05 16:55:00 52a9c93692c4e16686bebc05\n",
642 "94 2005-03-08 13:36:00 52a9c93692c4e16686bebc06\n",
643 "95 2005-03-06 01:05:00 52a9c93692c4e16686bebc07\n",
644 "96 2005-03-08 12:20:00 52a9c93692c4e16686bebc08\n",
645 "97 2005-03-14 17:35:00 52a9c93692c4e16686bebc0c\n",
646 "98 2005-03-08 08:56:00 52a9c93692c4e16686bebc09\n",
647 "99 2005-03-09 16:55:00 52a9c93692c4e16686bebc0a\n",
648 "100 2005-03-09 15:35:00 52a9c93692c4e16686bebc0b"
649 ]
650 },
651 "metadata": {},
652 "output_type": "display_data"
653 }
654 ],
655 "source": [
656 "accidents$find('{}', fields='{\"Datetime\": true}', limit=100)"
657 ]
658 },
659 {
660 "cell_type": "code",
661 "execution_count": 8,
662 "metadata": {
663 "scrolled": true
664 },
665 "outputs": [
666 {
667 "data": {
668 "text/html": [
669 "<table>\n",
670 "<thead><tr><th scope=col>Datetime</th><th scope=col>Number_of_Casualties</th><th scope=col>Number_of_Vehicles</th><th scope=col>_id</th></tr></thead>\n",
671 "<tbody>\n",
672 "\t<tr><td>2005-01-04 17:42:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebba9</td></tr>\n",
673 "\t<tr><td>2005-01-05 17:36:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebbaa</td></tr>\n",
674 "\t<tr><td>2005-01-07 10:35:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebbac</td></tr>\n",
675 "\t<tr><td>2005-01-06 00:15:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbab</td></tr>\n",
676 "\t<tr><td>2005-01-10 21:13:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebbad</td></tr>\n",
677 "\t<tr><td>2005-01-11 12:40:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbae</td></tr>\n",
678 "\t<tr><td>2005-01-13 20:40:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbaf</td></tr>\n",
679 "\t<tr><td>2005-01-14 17:35:00 </td><td>2 </td><td>1 </td><td>52a9c93692c4e16686bebbb0</td></tr>\n",
680 "\t<tr><td>2005-01-15 22:43:00 </td><td>2 </td><td>2 </td><td>52a9c93692c4e16686bebbb1</td></tr>\n",
681 "\t<tr><td>2005-01-15 16:00:00 </td><td>5 </td><td>2 </td><td>52a9c93692c4e16686bebbb2</td></tr>\n",
682 "\t<tr><td>2005-01-16 00:42:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebbb3</td></tr>\n",
683 "\t<tr><td>2005-01-25 20:48:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbb4</td></tr>\n",
684 "\t<tr><td>2005-01-11 12:55:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebbb5</td></tr>\n",
685 "\t<tr><td>2005-01-18 05:01:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbb6</td></tr>\n",
686 "\t<tr><td>2005-01-18 11:15:00 </td><td>2 </td><td>1 </td><td>52a9c93692c4e16686bebbb7</td></tr>\n",
687 "\t<tr><td>2005-01-18 10:50:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebbb8</td></tr>\n",
688 "\t<tr><td>2005-01-20 00:15:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbb9</td></tr>\n",
689 "\t<tr><td>2005-01-21 09:15:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbba</td></tr>\n",
690 "\t<tr><td>2005-01-21 21:16:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbbb</td></tr>\n",
691 "\t<tr><td>2005-01-08 03:00:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebbbc</td></tr>\n",
692 "\t<tr><td>2005-01-24 21:45:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebbbd</td></tr>\n",
693 "\t<tr><td>2005-01-19 16:35:00 </td><td>1 </td><td>1 </td><td>52a9c93692c4e16686bebbc2</td></tr>\n",
694 "\t<tr><td>2005-01-24 17:05:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbbe</td></tr>\n",
695 "\t<tr><td>2005-01-24 21:30:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbbf</td></tr>\n",
696 "\t<tr><td>2005-01-18 17:25:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbc0</td></tr>\n",
697 "\t<tr><td>2005-01-29 07:34:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbc1</td></tr>\n",
698 "\t<tr><td>2005-01-30 20:00:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbc3</td></tr>\n",
699 "\t<tr><td>2005-01-29 13:15:00 </td><td>2 </td><td>2 </td><td>52a9c93692c4e16686bebbc4</td></tr>\n",
700 "\t<tr><td>2005-02-01 18:20:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbc5</td></tr>\n",
701 "\t<tr><td>2005-02-02 07:25:00 </td><td>1 </td><td>2 </td><td>52a9c93692c4e16686bebbc6</td></tr>\n",
702 "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
703 "\t<tr><td>2012-09-08 22:12:00 </td><td>4 </td><td>2 </td><td>52a9c98492c4e16686d36aea</td></tr>\n",
704 "\t<tr><td>2012-09-18 06:22:00 </td><td>1 </td><td>2 </td><td>52a9c98492c4e16686d36aeb</td></tr>\n",
705 "\t<tr><td>2012-09-08 13:15:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36aec</td></tr>\n",
706 "\t<tr><td>2012-09-23 14:00:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36aed</td></tr>\n",
707 "\t<tr><td>2012-09-19 09:41:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36aee</td></tr>\n",
708 "\t<tr><td>2012-09-16 13:00:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36aef</td></tr>\n",
709 "\t<tr><td>2012-10-02 14:20:00 </td><td>2 </td><td>2 </td><td>52a9c98492c4e16686d36af0</td></tr>\n",
710 "\t<tr><td>2012-10-15 15:58:00 </td><td>1 </td><td>2 </td><td>52a9c98492c4e16686d36af1</td></tr>\n",
711 "\t<tr><td>2012-10-15 19:55:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36af2</td></tr>\n",
712 "\t<tr><td>2012-10-18 10:53:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36af3</td></tr>\n",
713 "\t<tr><td>2012-10-17 20:59:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36af4</td></tr>\n",
714 "\t<tr><td>2012-10-21 01:06:00 </td><td>1 </td><td>2 </td><td>52a9c98492c4e16686d36af5</td></tr>\n",
715 "\t<tr><td>2012-10-24 18:12:00 </td><td>1 </td><td>2 </td><td>52a9c98492c4e16686d36af6</td></tr>\n",
716 "\t<tr><td>2012-10-27 13:29:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36af7</td></tr>\n",
717 "\t<tr><td>2012-10-24 10:10:00 </td><td>1 </td><td>2 </td><td>52a9c98492c4e16686d36af8</td></tr>\n",
718 "\t<tr><td>2012-11-11 16:00:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36af9</td></tr>\n",
719 "\t<tr><td>2012-11-07 14:04:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36afa</td></tr>\n",
720 "\t<tr><td>2012-11-19 07:30:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36afb</td></tr>\n",
721 "\t<tr><td>2012-11-21 06:40:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36afc</td></tr>\n",
722 "\t<tr><td>2012-11-28 10:00:00 </td><td>1 </td><td>2 </td><td>52a9c98492c4e16686d36afd</td></tr>\n",
723 "\t<tr><td>2012-11-28 09:40:00 </td><td>1 </td><td>2 </td><td>52a9c98492c4e16686d36afe</td></tr>\n",
724 "\t<tr><td>2012-11-29 08:39:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36aff</td></tr>\n",
725 "\t<tr><td>2012-12-04 07:36:00 </td><td>1 </td><td>2 </td><td>52a9c98492c4e16686d36b00</td></tr>\n",
726 "\t<tr><td>2012-12-03 22:48:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36b01</td></tr>\n",
727 "\t<tr><td>2012-11-30 22:16:00 </td><td>2 </td><td>1 </td><td>52a9c98492c4e16686d36b02</td></tr>\n",
728 "\t<tr><td>2012-12-06 12:45:00 </td><td>1 </td><td>2 </td><td>52a9c98492c4e16686d36b03</td></tr>\n",
729 "\t<tr><td>2012-12-20 20:00:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36b04</td></tr>\n",
730 "\t<tr><td>2012-12-22 13:01:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36b05</td></tr>\n",
731 "\t<tr><td>2012-12-25 11:33:00 </td><td>2 </td><td>1 </td><td>52a9c98492c4e16686d36b06</td></tr>\n",
732 "\t<tr><td>2012-12-27 16:30:00 </td><td>1 </td><td>1 </td><td>52a9c98492c4e16686d36b07</td></tr>\n",
733 "</tbody>\n",
734 "</table>\n"
735 ],
736 "text/latex": [
737 "\\begin{tabular}{r|llll}\n",
738 " Datetime & Number\\_of\\_Casualties & Number\\_of\\_Vehicles & \\_id\\\\\n",
739 "\\hline\n",
740 "\t 2005-01-04 17:42:00 & 1 & 1 & 52a9c93692c4e16686bebba9\\\\\n",
741 "\t 2005-01-05 17:36:00 & 1 & 1 & 52a9c93692c4e16686bebbaa\\\\\n",
742 "\t 2005-01-07 10:35:00 & 1 & 1 & 52a9c93692c4e16686bebbac\\\\\n",
743 "\t 2005-01-06 00:15:00 & 1 & 2 & 52a9c93692c4e16686bebbab\\\\\n",
744 "\t 2005-01-10 21:13:00 & 1 & 1 & 52a9c93692c4e16686bebbad\\\\\n",
745 "\t 2005-01-11 12:40:00 & 1 & 2 & 52a9c93692c4e16686bebbae\\\\\n",
746 "\t 2005-01-13 20:40:00 & 1 & 2 & 52a9c93692c4e16686bebbaf\\\\\n",
747 "\t 2005-01-14 17:35:00 & 2 & 1 & 52a9c93692c4e16686bebbb0\\\\\n",
748 "\t 2005-01-15 22:43:00 & 2 & 2 & 52a9c93692c4e16686bebbb1\\\\\n",
749 "\t 2005-01-15 16:00:00 & 5 & 2 & 52a9c93692c4e16686bebbb2\\\\\n",
750 "\t 2005-01-16 00:42:00 & 1 & 1 & 52a9c93692c4e16686bebbb3\\\\\n",
751 "\t 2005-01-25 20:48:00 & 1 & 2 & 52a9c93692c4e16686bebbb4\\\\\n",
752 "\t 2005-01-11 12:55:00 & 1 & 1 & 52a9c93692c4e16686bebbb5\\\\\n",
753 "\t 2005-01-18 05:01:00 & 1 & 2 & 52a9c93692c4e16686bebbb6\\\\\n",
754 "\t 2005-01-18 11:15:00 & 2 & 1 & 52a9c93692c4e16686bebbb7\\\\\n",
755 "\t 2005-01-18 10:50:00 & 1 & 1 & 52a9c93692c4e16686bebbb8\\\\\n",
756 "\t 2005-01-20 00:15:00 & 1 & 2 & 52a9c93692c4e16686bebbb9\\\\\n",
757 "\t 2005-01-21 09:15:00 & 1 & 2 & 52a9c93692c4e16686bebbba\\\\\n",
758 "\t 2005-01-21 21:16:00 & 1 & 2 & 52a9c93692c4e16686bebbbb\\\\\n",
759 "\t 2005-01-08 03:00:00 & 1 & 1 & 52a9c93692c4e16686bebbbc\\\\\n",
760 "\t 2005-01-24 21:45:00 & 1 & 1 & 52a9c93692c4e16686bebbbd\\\\\n",
761 "\t 2005-01-19 16:35:00 & 1 & 1 & 52a9c93692c4e16686bebbc2\\\\\n",
762 "\t 2005-01-24 17:05:00 & 1 & 2 & 52a9c93692c4e16686bebbbe\\\\\n",
763 "\t 2005-01-24 21:30:00 & 1 & 2 & 52a9c93692c4e16686bebbbf\\\\\n",
764 "\t 2005-01-18 17:25:00 & 1 & 2 & 52a9c93692c4e16686bebbc0\\\\\n",
765 "\t 2005-01-29 07:34:00 & 1 & 2 & 52a9c93692c4e16686bebbc1\\\\\n",
766 "\t 2005-01-30 20:00:00 & 1 & 2 & 52a9c93692c4e16686bebbc3\\\\\n",
767 "\t 2005-01-29 13:15:00 & 2 & 2 & 52a9c93692c4e16686bebbc4\\\\\n",
768 "\t 2005-02-01 18:20:00 & 1 & 2 & 52a9c93692c4e16686bebbc5\\\\\n",
769 "\t 2005-02-02 07:25:00 & 1 & 2 & 52a9c93692c4e16686bebbc6\\\\\n",
770 "\t ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
771 "\t 2012-09-08 22:12:00 & 4 & 2 & 52a9c98492c4e16686d36aea\\\\\n",
772 "\t 2012-09-18 06:22:00 & 1 & 2 & 52a9c98492c4e16686d36aeb\\\\\n",
773 "\t 2012-09-08 13:15:00 & 1 & 1 & 52a9c98492c4e16686d36aec\\\\\n",
774 "\t 2012-09-23 14:00:00 & 1 & 1 & 52a9c98492c4e16686d36aed\\\\\n",
775 "\t 2012-09-19 09:41:00 & 1 & 1 & 52a9c98492c4e16686d36aee\\\\\n",
776 "\t 2012-09-16 13:00:00 & 1 & 1 & 52a9c98492c4e16686d36aef\\\\\n",
777 "\t 2012-10-02 14:20:00 & 2 & 2 & 52a9c98492c4e16686d36af0\\\\\n",
778 "\t 2012-10-15 15:58:00 & 1 & 2 & 52a9c98492c4e16686d36af1\\\\\n",
779 "\t 2012-10-15 19:55:00 & 1 & 1 & 52a9c98492c4e16686d36af2\\\\\n",
780 "\t 2012-10-18 10:53:00 & 1 & 1 & 52a9c98492c4e16686d36af3\\\\\n",
781 "\t 2012-10-17 20:59:00 & 1 & 1 & 52a9c98492c4e16686d36af4\\\\\n",
782 "\t 2012-10-21 01:06:00 & 1 & 2 & 52a9c98492c4e16686d36af5\\\\\n",
783 "\t 2012-10-24 18:12:00 & 1 & 2 & 52a9c98492c4e16686d36af6\\\\\n",
784 "\t 2012-10-27 13:29:00 & 1 & 1 & 52a9c98492c4e16686d36af7\\\\\n",
785 "\t 2012-10-24 10:10:00 & 1 & 2 & 52a9c98492c4e16686d36af8\\\\\n",
786 "\t 2012-11-11 16:00:00 & 1 & 1 & 52a9c98492c4e16686d36af9\\\\\n",
787 "\t 2012-11-07 14:04:00 & 1 & 1 & 52a9c98492c4e16686d36afa\\\\\n",
788 "\t 2012-11-19 07:30:00 & 1 & 1 & 52a9c98492c4e16686d36afb\\\\\n",
789 "\t 2012-11-21 06:40:00 & 1 & 1 & 52a9c98492c4e16686d36afc\\\\\n",
790 "\t 2012-11-28 10:00:00 & 1 & 2 & 52a9c98492c4e16686d36afd\\\\\n",
791 "\t 2012-11-28 09:40:00 & 1 & 2 & 52a9c98492c4e16686d36afe\\\\\n",
792 "\t 2012-11-29 08:39:00 & 1 & 1 & 52a9c98492c4e16686d36aff\\\\\n",
793 "\t 2012-12-04 07:36:00 & 1 & 2 & 52a9c98492c4e16686d36b00\\\\\n",
794 "\t 2012-12-03 22:48:00 & 1 & 1 & 52a9c98492c4e16686d36b01\\\\\n",
795 "\t 2012-11-30 22:16:00 & 2 & 1 & 52a9c98492c4e16686d36b02\\\\\n",
796 "\t 2012-12-06 12:45:00 & 1 & 2 & 52a9c98492c4e16686d36b03\\\\\n",
797 "\t 2012-12-20 20:00:00 & 1 & 1 & 52a9c98492c4e16686d36b04\\\\\n",
798 "\t 2012-12-22 13:01:00 & 1 & 1 & 52a9c98492c4e16686d36b05\\\\\n",
799 "\t 2012-12-25 11:33:00 & 2 & 1 & 52a9c98492c4e16686d36b06\\\\\n",
800 "\t 2012-12-27 16:30:00 & 1 & 1 & 52a9c98492c4e16686d36b07\\\\\n",
801 "\\end{tabular}\n"
802 ],
803 "text/markdown": [
804 "\n",
805 "Datetime | Number_of_Casualties | Number_of_Vehicles | _id | \n",
806 "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
807 "| 2005-01-04 17:42:00 | 1 | 1 | 52a9c93692c4e16686bebba9 | \n",
808 "| 2005-01-05 17:36:00 | 1 | 1 | 52a9c93692c4e16686bebbaa | \n",
809 "| 2005-01-07 10:35:00 | 1 | 1 | 52a9c93692c4e16686bebbac | \n",
810 "| 2005-01-06 00:15:00 | 1 | 2 | 52a9c93692c4e16686bebbab | \n",
811 "| 2005-01-10 21:13:00 | 1 | 1 | 52a9c93692c4e16686bebbad | \n",
812 "| 2005-01-11 12:40:00 | 1 | 2 | 52a9c93692c4e16686bebbae | \n",
813 "| 2005-01-13 20:40:00 | 1 | 2 | 52a9c93692c4e16686bebbaf | \n",
814 "| 2005-01-14 17:35:00 | 2 | 1 | 52a9c93692c4e16686bebbb0 | \n",
815 "| 2005-01-15 22:43:00 | 2 | 2 | 52a9c93692c4e16686bebbb1 | \n",
816 "| 2005-01-15 16:00:00 | 5 | 2 | 52a9c93692c4e16686bebbb2 | \n",
817 "| 2005-01-16 00:42:00 | 1 | 1 | 52a9c93692c4e16686bebbb3 | \n",
818 "| 2005-01-25 20:48:00 | 1 | 2 | 52a9c93692c4e16686bebbb4 | \n",
819 "| 2005-01-11 12:55:00 | 1 | 1 | 52a9c93692c4e16686bebbb5 | \n",
820 "| 2005-01-18 05:01:00 | 1 | 2 | 52a9c93692c4e16686bebbb6 | \n",
821 "| 2005-01-18 11:15:00 | 2 | 1 | 52a9c93692c4e16686bebbb7 | \n",
822 "| 2005-01-18 10:50:00 | 1 | 1 | 52a9c93692c4e16686bebbb8 | \n",
823 "| 2005-01-20 00:15:00 | 1 | 2 | 52a9c93692c4e16686bebbb9 | \n",
824 "| 2005-01-21 09:15:00 | 1 | 2 | 52a9c93692c4e16686bebbba | \n",
825 "| 2005-01-21 21:16:00 | 1 | 2 | 52a9c93692c4e16686bebbbb | \n",
826 "| 2005-01-08 03:00:00 | 1 | 1 | 52a9c93692c4e16686bebbbc | \n",
827 "| 2005-01-24 21:45:00 | 1 | 1 | 52a9c93692c4e16686bebbbd | \n",
828 "| 2005-01-19 16:35:00 | 1 | 1 | 52a9c93692c4e16686bebbc2 | \n",
829 "| 2005-01-24 17:05:00 | 1 | 2 | 52a9c93692c4e16686bebbbe | \n",
830 "| 2005-01-24 21:30:00 | 1 | 2 | 52a9c93692c4e16686bebbbf | \n",
831 "| 2005-01-18 17:25:00 | 1 | 2 | 52a9c93692c4e16686bebbc0 | \n",
832 "| 2005-01-29 07:34:00 | 1 | 2 | 52a9c93692c4e16686bebbc1 | \n",
833 "| 2005-01-30 20:00:00 | 1 | 2 | 52a9c93692c4e16686bebbc3 | \n",
834 "| 2005-01-29 13:15:00 | 2 | 2 | 52a9c93692c4e16686bebbc4 | \n",
835 "| 2005-02-01 18:20:00 | 1 | 2 | 52a9c93692c4e16686bebbc5 | \n",
836 "| 2005-02-02 07:25:00 | 1 | 2 | 52a9c93692c4e16686bebbc6 | \n",
837 "| ⋮ | ⋮ | ⋮ | ⋮ | \n",
838 "| 2012-09-08 22:12:00 | 4 | 2 | 52a9c98492c4e16686d36aea | \n",
839 "| 2012-09-18 06:22:00 | 1 | 2 | 52a9c98492c4e16686d36aeb | \n",
840 "| 2012-09-08 13:15:00 | 1 | 1 | 52a9c98492c4e16686d36aec | \n",
841 "| 2012-09-23 14:00:00 | 1 | 1 | 52a9c98492c4e16686d36aed | \n",
842 "| 2012-09-19 09:41:00 | 1 | 1 | 52a9c98492c4e16686d36aee | \n",
843 "| 2012-09-16 13:00:00 | 1 | 1 | 52a9c98492c4e16686d36aef | \n",
844 "| 2012-10-02 14:20:00 | 2 | 2 | 52a9c98492c4e16686d36af0 | \n",
845 "| 2012-10-15 15:58:00 | 1 | 2 | 52a9c98492c4e16686d36af1 | \n",
846 "| 2012-10-15 19:55:00 | 1 | 1 | 52a9c98492c4e16686d36af2 | \n",
847 "| 2012-10-18 10:53:00 | 1 | 1 | 52a9c98492c4e16686d36af3 | \n",
848 "| 2012-10-17 20:59:00 | 1 | 1 | 52a9c98492c4e16686d36af4 | \n",
849 "| 2012-10-21 01:06:00 | 1 | 2 | 52a9c98492c4e16686d36af5 | \n",
850 "| 2012-10-24 18:12:00 | 1 | 2 | 52a9c98492c4e16686d36af6 | \n",
851 "| 2012-10-27 13:29:00 | 1 | 1 | 52a9c98492c4e16686d36af7 | \n",
852 "| 2012-10-24 10:10:00 | 1 | 2 | 52a9c98492c4e16686d36af8 | \n",
853 "| 2012-11-11 16:00:00 | 1 | 1 | 52a9c98492c4e16686d36af9 | \n",
854 "| 2012-11-07 14:04:00 | 1 | 1 | 52a9c98492c4e16686d36afa | \n",
855 "| 2012-11-19 07:30:00 | 1 | 1 | 52a9c98492c4e16686d36afb | \n",
856 "| 2012-11-21 06:40:00 | 1 | 1 | 52a9c98492c4e16686d36afc | \n",
857 "| 2012-11-28 10:00:00 | 1 | 2 | 52a9c98492c4e16686d36afd | \n",
858 "| 2012-11-28 09:40:00 | 1 | 2 | 52a9c98492c4e16686d36afe | \n",
859 "| 2012-11-29 08:39:00 | 1 | 1 | 52a9c98492c4e16686d36aff | \n",
860 "| 2012-12-04 07:36:00 | 1 | 2 | 52a9c98492c4e16686d36b00 | \n",
861 "| 2012-12-03 22:48:00 | 1 | 1 | 52a9c98492c4e16686d36b01 | \n",
862 "| 2012-11-30 22:16:00 | 2 | 1 | 52a9c98492c4e16686d36b02 | \n",
863 "| 2012-12-06 12:45:00 | 1 | 2 | 52a9c98492c4e16686d36b03 | \n",
864 "| 2012-12-20 20:00:00 | 1 | 1 | 52a9c98492c4e16686d36b04 | \n",
865 "| 2012-12-22 13:01:00 | 1 | 1 | 52a9c98492c4e16686d36b05 | \n",
866 "| 2012-12-25 11:33:00 | 2 | 1 | 52a9c98492c4e16686d36b06 | \n",
867 "| 2012-12-27 16:30:00 | 1 | 1 | 52a9c98492c4e16686d36b07 | \n",
868 "\n",
869 "\n"
870 ],
871 "text/plain": [
872 " Datetime Number_of_Casualties Number_of_Vehicles\n",
873 "1 2005-01-04 17:42:00 1 1 \n",
874 "2 2005-01-05 17:36:00 1 1 \n",
875 "3 2005-01-07 10:35:00 1 1 \n",
876 "4 2005-01-06 00:15:00 1 2 \n",
877 "5 2005-01-10 21:13:00 1 1 \n",
878 "6 2005-01-11 12:40:00 1 2 \n",
879 "7 2005-01-13 20:40:00 1 2 \n",
880 "8 2005-01-14 17:35:00 2 1 \n",
881 "9 2005-01-15 22:43:00 2 2 \n",
882 "10 2005-01-15 16:00:00 5 2 \n",
883 "11 2005-01-16 00:42:00 1 1 \n",
884 "12 2005-01-25 20:48:00 1 2 \n",
885 "13 2005-01-11 12:55:00 1 1 \n",
886 "14 2005-01-18 05:01:00 1 2 \n",
887 "15 2005-01-18 11:15:00 2 1 \n",
888 "16 2005-01-18 10:50:00 1 1 \n",
889 "17 2005-01-20 00:15:00 1 2 \n",
890 "18 2005-01-21 09:15:00 1 2 \n",
891 "19 2005-01-21 21:16:00 1 2 \n",
892 "20 2005-01-08 03:00:00 1 1 \n",
893 "21 2005-01-24 21:45:00 1 1 \n",
894 "22 2005-01-19 16:35:00 1 1 \n",
895 "23 2005-01-24 17:05:00 1 2 \n",
896 "24 2005-01-24 21:30:00 1 2 \n",
897 "25 2005-01-18 17:25:00 1 2 \n",
898 "26 2005-01-29 07:34:00 1 2 \n",
899 "27 2005-01-30 20:00:00 1 2 \n",
900 "28 2005-01-29 13:15:00 2 2 \n",
901 "29 2005-02-01 18:20:00 1 2 \n",
902 "30 2005-02-02 07:25:00 1 2 \n",
903 "⋮ ⋮ ⋮ ⋮ \n",
904 "1355586 2012-09-08 22:12:00 4 2 \n",
905 "1355587 2012-09-18 06:22:00 1 2 \n",
906 "1355588 2012-09-08 13:15:00 1 1 \n",
907 "1355589 2012-09-23 14:00:00 1 1 \n",
908 "1355590 2012-09-19 09:41:00 1 1 \n",
909 "1355591 2012-09-16 13:00:00 1 1 \n",
910 "1355592 2012-10-02 14:20:00 2 2 \n",
911 "1355593 2012-10-15 15:58:00 1 2 \n",
912 "1355594 2012-10-15 19:55:00 1 1 \n",
913 "1355595 2012-10-18 10:53:00 1 1 \n",
914 "1355596 2012-10-17 20:59:00 1 1 \n",
915 "1355597 2012-10-21 01:06:00 1 2 \n",
916 "1355598 2012-10-24 18:12:00 1 2 \n",
917 "1355599 2012-10-27 13:29:00 1 1 \n",
918 "1355600 2012-10-24 10:10:00 1 2 \n",
919 "1355601 2012-11-11 16:00:00 1 1 \n",
920 "1355602 2012-11-07 14:04:00 1 1 \n",
921 "1355603 2012-11-19 07:30:00 1 1 \n",
922 "1355604 2012-11-21 06:40:00 1 1 \n",
923 "1355605 2012-11-28 10:00:00 1 2 \n",
924 "1355606 2012-11-28 09:40:00 1 2 \n",
925 "1355607 2012-11-29 08:39:00 1 1 \n",
926 "1355608 2012-12-04 07:36:00 1 2 \n",
927 "1355609 2012-12-03 22:48:00 1 1 \n",
928 "1355610 2012-11-30 22:16:00 2 1 \n",
929 "1355611 2012-12-06 12:45:00 1 2 \n",
930 "1355612 2012-12-20 20:00:00 1 1 \n",
931 "1355613 2012-12-22 13:01:00 1 1 \n",
932 "1355614 2012-12-25 11:33:00 2 1 \n",
933 "1355615 2012-12-27 16:30:00 1 1 \n",
934 " _id \n",
935 "1 52a9c93692c4e16686bebba9\n",
936 "2 52a9c93692c4e16686bebbaa\n",
937 "3 52a9c93692c4e16686bebbac\n",
938 "4 52a9c93692c4e16686bebbab\n",
939 "5 52a9c93692c4e16686bebbad\n",
940 "6 52a9c93692c4e16686bebbae\n",
941 "7 52a9c93692c4e16686bebbaf\n",
942 "8 52a9c93692c4e16686bebbb0\n",
943 "9 52a9c93692c4e16686bebbb1\n",
944 "10 52a9c93692c4e16686bebbb2\n",
945 "11 52a9c93692c4e16686bebbb3\n",
946 "12 52a9c93692c4e16686bebbb4\n",
947 "13 52a9c93692c4e16686bebbb5\n",
948 "14 52a9c93692c4e16686bebbb6\n",
949 "15 52a9c93692c4e16686bebbb7\n",
950 "16 52a9c93692c4e16686bebbb8\n",
951 "17 52a9c93692c4e16686bebbb9\n",
952 "18 52a9c93692c4e16686bebbba\n",
953 "19 52a9c93692c4e16686bebbbb\n",
954 "20 52a9c93692c4e16686bebbbc\n",
955 "21 52a9c93692c4e16686bebbbd\n",
956 "22 52a9c93692c4e16686bebbc2\n",
957 "23 52a9c93692c4e16686bebbbe\n",
958 "24 52a9c93692c4e16686bebbbf\n",
959 "25 52a9c93692c4e16686bebbc0\n",
960 "26 52a9c93692c4e16686bebbc1\n",
961 "27 52a9c93692c4e16686bebbc3\n",
962 "28 52a9c93692c4e16686bebbc4\n",
963 "29 52a9c93692c4e16686bebbc5\n",
964 "30 52a9c93692c4e16686bebbc6\n",
965 "⋮ ⋮ \n",
966 "1355586 52a9c98492c4e16686d36aea\n",
967 "1355587 52a9c98492c4e16686d36aeb\n",
968 "1355588 52a9c98492c4e16686d36aec\n",
969 "1355589 52a9c98492c4e16686d36aed\n",
970 "1355590 52a9c98492c4e16686d36aee\n",
971 "1355591 52a9c98492c4e16686d36aef\n",
972 "1355592 52a9c98492c4e16686d36af0\n",
973 "1355593 52a9c98492c4e16686d36af1\n",
974 "1355594 52a9c98492c4e16686d36af2\n",
975 "1355595 52a9c98492c4e16686d36af3\n",
976 "1355596 52a9c98492c4e16686d36af4\n",
977 "1355597 52a9c98492c4e16686d36af5\n",
978 "1355598 52a9c98492c4e16686d36af6\n",
979 "1355599 52a9c98492c4e16686d36af7\n",
980 "1355600 52a9c98492c4e16686d36af8\n",
981 "1355601 52a9c98492c4e16686d36af9\n",
982 "1355602 52a9c98492c4e16686d36afa\n",
983 "1355603 52a9c98492c4e16686d36afb\n",
984 "1355604 52a9c98492c4e16686d36afc\n",
985 "1355605 52a9c98492c4e16686d36afd\n",
986 "1355606 52a9c98492c4e16686d36afe\n",
987 "1355607 52a9c98492c4e16686d36aff\n",
988 "1355608 52a9c98492c4e16686d36b00\n",
989 "1355609 52a9c98492c4e16686d36b01\n",
990 "1355610 52a9c98492c4e16686d36b02\n",
991 "1355611 52a9c98492c4e16686d36b03\n",
992 "1355612 52a9c98492c4e16686d36b04\n",
993 "1355613 52a9c98492c4e16686d36b05\n",
994 "1355614 52a9c98492c4e16686d36b06\n",
995 "1355615 52a9c98492c4e16686d36b07"
996 ]
997 },
998 "metadata": {},
999 "output_type": "display_data"
1000 }
1001 ],
1002 "source": [
1003 "cv_date <- accidents$find(\n",
1004 " # query = '{\"Datetime\": { \"$gte\" : { \"$date\" : \"2012-12-01T00:00:00Z\" }}}',\n",
1005 " query = '{}',\n",
1006 " fields = '{\"Number_of_Casualties\": true, \"Number_of_Vehicles\": true, \"Datetime\": true}')\n",
1007 "cv_date"
1008 ]
1009 },
1010 {
1011 "cell_type": "code",
1012 "execution_count": 9,
1013 "metadata": {},
1014 "outputs": [
1015 {
1016 "name": "stdout",
1017 "output_type": "stream",
1018 "text": [
1019 "'data.frame':\t1355615 obs. of 4 variables:\n",
1020 " $ Datetime : POSIXct, format: \"2005-01-04 17:42:00\" \"2005-01-05 17:36:00\" ...\n",
1021 " $ Number_of_Casualties: int 1 1 1 1 1 1 1 2 2 5 ...\n",
1022 " $ Number_of_Vehicles : int 1 1 1 2 1 2 2 1 2 2 ...\n",
1023 " $ _id : chr \"52a9c93692c4e16686bebba9\" \"52a9c93692c4e16686bebbaa\" \"52a9c93692c4e16686bebbac\" \"52a9c93692c4e16686bebbab\" ...\n"
1024 ]
1025 }
1026 ],
1027 "source": [
1028 "str(cv_date)"
1029 ]
1030 },
1031 {
1032 "cell_type": "code",
1033 "execution_count": 10,
1034 "metadata": {
1035 "scrolled": true
1036 },
1037 "outputs": [],
1038 "source": [
1039 "cv_date <- mutate(cv_date, year = year(Datetime))\n",
1040 "cv_date$yearf <- factor(cv_date$year)"
1041 ]
1042 },
1043 {
1044 "cell_type": "code",
1045 "execution_count": 11,
1046 "metadata": {
1047 "scrolled": true
1048 },
1049 "outputs": [
1050 {
1051 "data": {
1052 "text/html": [
1053 "<table>\n",
1054 "<thead><tr><th scope=col>Number_of_Casualties</th><th scope=col>Number_of_Vehicles</th><th scope=col>year</th><th scope=col>n</th></tr></thead>\n",
1055 "<tbody>\n",
1056 "\t<tr><td>1 </td><td>1 </td><td>2005 </td><td>52027</td></tr>\n",
1057 "\t<tr><td>1 </td><td>1 </td><td>2006 </td><td>49358</td></tr>\n",
1058 "\t<tr><td>1 </td><td>1 </td><td>2007 </td><td>48023</td></tr>\n",
1059 "\t<tr><td>1 </td><td>1 </td><td>2008 </td><td>46121</td></tr>\n",
1060 "\t<tr><td>1 </td><td>1 </td><td>2009 </td><td>44076</td></tr>\n",
1061 "\t<tr><td>1 </td><td>1 </td><td>2010 </td><td>41760</td></tr>\n",
1062 "\t<tr><td>1 </td><td>1 </td><td>2011 </td><td>41082</td></tr>\n",
1063 "\t<tr><td>1 </td><td>1 </td><td>2012 </td><td>39217</td></tr>\n",
1064 "\t<tr><td>1 </td><td>2 </td><td>2005 </td><td>86717</td></tr>\n",
1065 "\t<tr><td>1 </td><td>2 </td><td>2006 </td><td>82553</td></tr>\n",
1066 "\t<tr><td>1 </td><td>2 </td><td>2007 </td><td>79828</td></tr>\n",
1067 "\t<tr><td>1 </td><td>2 </td><td>2008 </td><td>74819</td></tr>\n",
1068 "\t<tr><td>1 </td><td>2 </td><td>2009 </td><td>71802</td></tr>\n",
1069 "\t<tr><td>1 </td><td>2 </td><td>2010 </td><td>68416</td></tr>\n",
1070 "\t<tr><td>1 </td><td>2 </td><td>2011 </td><td>68019</td></tr>\n",
1071 "\t<tr><td>1 </td><td>2 </td><td>2012 </td><td>65680</td></tr>\n",
1072 "\t<tr><td>1 </td><td>3 </td><td>2005 </td><td> 9756</td></tr>\n",
1073 "\t<tr><td>1 </td><td>3 </td><td>2006 </td><td> 9122</td></tr>\n",
1074 "\t<tr><td>1 </td><td>3 </td><td>2007 </td><td> 8610</td></tr>\n",
1075 "\t<tr><td>1 </td><td>3 </td><td>2008 </td><td> 7795</td></tr>\n",
1076 "\t<tr><td>1 </td><td>3 </td><td>2009 </td><td> 7249</td></tr>\n",
1077 "\t<tr><td>1 </td><td>3 </td><td>2010 </td><td> 6701</td></tr>\n",
1078 "\t<tr><td>1 </td><td>3 </td><td>2011 </td><td> 6379</td></tr>\n",
1079 "\t<tr><td>1 </td><td>3 </td><td>2012 </td><td> 6168</td></tr>\n",
1080 "\t<tr><td>1 </td><td>4 </td><td>2005 </td><td> 1714</td></tr>\n",
1081 "\t<tr><td>1 </td><td>4 </td><td>2006 </td><td> 1574</td></tr>\n",
1082 "\t<tr><td>1 </td><td>4 </td><td>2007 </td><td> 1612</td></tr>\n",
1083 "\t<tr><td>1 </td><td>4 </td><td>2008 </td><td> 1373</td></tr>\n",
1084 "\t<tr><td>1 </td><td>4 </td><td>2009 </td><td> 1280</td></tr>\n",
1085 "\t<tr><td>1 </td><td>4 </td><td>2010 </td><td> 1180</td></tr>\n",
1086 "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
1087 "\t<tr><td>28 </td><td> 2 </td><td>2007</td><td>1 </td></tr>\n",
1088 "\t<tr><td>28 </td><td> 4 </td><td>2008</td><td>1 </td></tr>\n",
1089 "\t<tr><td>29 </td><td> 1 </td><td>2007</td><td>1 </td></tr>\n",
1090 "\t<tr><td>29 </td><td> 2 </td><td>2005</td><td>1 </td></tr>\n",
1091 "\t<tr><td>29 </td><td> 2 </td><td>2007</td><td>1 </td></tr>\n",
1092 "\t<tr><td>29 </td><td> 5 </td><td>2007</td><td>1 </td></tr>\n",
1093 "\t<tr><td>32 </td><td> 2 </td><td>2008</td><td>1 </td></tr>\n",
1094 "\t<tr><td>33 </td><td> 2 </td><td>2012</td><td>1 </td></tr>\n",
1095 "\t<tr><td>35 </td><td> 4 </td><td>2005</td><td>1 </td></tr>\n",
1096 "\t<tr><td>36 </td><td> 2 </td><td>2006</td><td>1 </td></tr>\n",
1097 "\t<tr><td>36 </td><td> 3 </td><td>2010</td><td>1 </td></tr>\n",
1098 "\t<tr><td>38 </td><td> 4 </td><td>2012</td><td>1 </td></tr>\n",
1099 "\t<tr><td>40 </td><td> 2 </td><td>2010</td><td>1 </td></tr>\n",
1100 "\t<tr><td>40 </td><td> 4 </td><td>2007</td><td>1 </td></tr>\n",
1101 "\t<tr><td>41 </td><td> 2 </td><td>2006</td><td>1 </td></tr>\n",
1102 "\t<tr><td>42 </td><td> 1 </td><td>2010</td><td>1 </td></tr>\n",
1103 "\t<tr><td>42 </td><td> 2 </td><td>2012</td><td>1 </td></tr>\n",
1104 "\t<tr><td>42 </td><td> 8 </td><td>2007</td><td>1 </td></tr>\n",
1105 "\t<tr><td>43 </td><td> 1 </td><td>2010</td><td>1 </td></tr>\n",
1106 "\t<tr><td>43 </td><td> 4 </td><td>2010</td><td>1 </td></tr>\n",
1107 "\t<tr><td>45 </td><td> 1 </td><td>2006</td><td>1 </td></tr>\n",
1108 "\t<tr><td>45 </td><td> 3 </td><td>2008</td><td>1 </td></tr>\n",
1109 "\t<tr><td>47 </td><td> 3 </td><td>2008</td><td>1 </td></tr>\n",
1110 "\t<tr><td>48 </td><td> 1 </td><td>2009</td><td>1 </td></tr>\n",
1111 "\t<tr><td>51 </td><td> 2 </td><td>2011</td><td>1 </td></tr>\n",
1112 "\t<tr><td>51 </td><td>34 </td><td>2011</td><td>1 </td></tr>\n",
1113 "\t<tr><td>62 </td><td> 2 </td><td>2008</td><td>1 </td></tr>\n",
1114 "\t<tr><td>63 </td><td> 2 </td><td>2011</td><td>1 </td></tr>\n",
1115 "\t<tr><td>68 </td><td> 1 </td><td>2007</td><td>1 </td></tr>\n",
1116 "\t<tr><td>87 </td><td> 5 </td><td>2011</td><td>1 </td></tr>\n",
1117 "</tbody>\n",
1118 "</table>\n"
1119 ],
1120 "text/latex": [
1121 "\\begin{tabular}{r|llll}\n",
1122 " Number\\_of\\_Casualties & Number\\_of\\_Vehicles & year & n\\\\\n",
1123 "\\hline\n",
1124 "\t 1 & 1 & 2005 & 52027\\\\\n",
1125 "\t 1 & 1 & 2006 & 49358\\\\\n",
1126 "\t 1 & 1 & 2007 & 48023\\\\\n",
1127 "\t 1 & 1 & 2008 & 46121\\\\\n",
1128 "\t 1 & 1 & 2009 & 44076\\\\\n",
1129 "\t 1 & 1 & 2010 & 41760\\\\\n",
1130 "\t 1 & 1 & 2011 & 41082\\\\\n",
1131 "\t 1 & 1 & 2012 & 39217\\\\\n",
1132 "\t 1 & 2 & 2005 & 86717\\\\\n",
1133 "\t 1 & 2 & 2006 & 82553\\\\\n",
1134 "\t 1 & 2 & 2007 & 79828\\\\\n",
1135 "\t 1 & 2 & 2008 & 74819\\\\\n",
1136 "\t 1 & 2 & 2009 & 71802\\\\\n",
1137 "\t 1 & 2 & 2010 & 68416\\\\\n",
1138 "\t 1 & 2 & 2011 & 68019\\\\\n",
1139 "\t 1 & 2 & 2012 & 65680\\\\\n",
1140 "\t 1 & 3 & 2005 & 9756\\\\\n",
1141 "\t 1 & 3 & 2006 & 9122\\\\\n",
1142 "\t 1 & 3 & 2007 & 8610\\\\\n",
1143 "\t 1 & 3 & 2008 & 7795\\\\\n",
1144 "\t 1 & 3 & 2009 & 7249\\\\\n",
1145 "\t 1 & 3 & 2010 & 6701\\\\\n",
1146 "\t 1 & 3 & 2011 & 6379\\\\\n",
1147 "\t 1 & 3 & 2012 & 6168\\\\\n",
1148 "\t 1 & 4 & 2005 & 1714\\\\\n",
1149 "\t 1 & 4 & 2006 & 1574\\\\\n",
1150 "\t 1 & 4 & 2007 & 1612\\\\\n",
1151 "\t 1 & 4 & 2008 & 1373\\\\\n",
1152 "\t 1 & 4 & 2009 & 1280\\\\\n",
1153 "\t 1 & 4 & 2010 & 1180\\\\\n",
1154 "\t ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
1155 "\t 28 & 2 & 2007 & 1 \\\\\n",
1156 "\t 28 & 4 & 2008 & 1 \\\\\n",
1157 "\t 29 & 1 & 2007 & 1 \\\\\n",
1158 "\t 29 & 2 & 2005 & 1 \\\\\n",
1159 "\t 29 & 2 & 2007 & 1 \\\\\n",
1160 "\t 29 & 5 & 2007 & 1 \\\\\n",
1161 "\t 32 & 2 & 2008 & 1 \\\\\n",
1162 "\t 33 & 2 & 2012 & 1 \\\\\n",
1163 "\t 35 & 4 & 2005 & 1 \\\\\n",
1164 "\t 36 & 2 & 2006 & 1 \\\\\n",
1165 "\t 36 & 3 & 2010 & 1 \\\\\n",
1166 "\t 38 & 4 & 2012 & 1 \\\\\n",
1167 "\t 40 & 2 & 2010 & 1 \\\\\n",
1168 "\t 40 & 4 & 2007 & 1 \\\\\n",
1169 "\t 41 & 2 & 2006 & 1 \\\\\n",
1170 "\t 42 & 1 & 2010 & 1 \\\\\n",
1171 "\t 42 & 2 & 2012 & 1 \\\\\n",
1172 "\t 42 & 8 & 2007 & 1 \\\\\n",
1173 "\t 43 & 1 & 2010 & 1 \\\\\n",
1174 "\t 43 & 4 & 2010 & 1 \\\\\n",
1175 "\t 45 & 1 & 2006 & 1 \\\\\n",
1176 "\t 45 & 3 & 2008 & 1 \\\\\n",
1177 "\t 47 & 3 & 2008 & 1 \\\\\n",
1178 "\t 48 & 1 & 2009 & 1 \\\\\n",
1179 "\t 51 & 2 & 2011 & 1 \\\\\n",
1180 "\t 51 & 34 & 2011 & 1 \\\\\n",
1181 "\t 62 & 2 & 2008 & 1 \\\\\n",
1182 "\t 63 & 2 & 2011 & 1 \\\\\n",
1183 "\t 68 & 1 & 2007 & 1 \\\\\n",
1184 "\t 87 & 5 & 2011 & 1 \\\\\n",
1185 "\\end{tabular}\n"
1186 ],
1187 "text/markdown": [
1188 "\n",
1189 "Number_of_Casualties | Number_of_Vehicles | year | n | \n",
1190 "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
1191 "| 1 | 1 | 2005 | 52027 | \n",
1192 "| 1 | 1 | 2006 | 49358 | \n",
1193 "| 1 | 1 | 2007 | 48023 | \n",
1194 "| 1 | 1 | 2008 | 46121 | \n",
1195 "| 1 | 1 | 2009 | 44076 | \n",
1196 "| 1 | 1 | 2010 | 41760 | \n",
1197 "| 1 | 1 | 2011 | 41082 | \n",
1198 "| 1 | 1 | 2012 | 39217 | \n",
1199 "| 1 | 2 | 2005 | 86717 | \n",
1200 "| 1 | 2 | 2006 | 82553 | \n",
1201 "| 1 | 2 | 2007 | 79828 | \n",
1202 "| 1 | 2 | 2008 | 74819 | \n",
1203 "| 1 | 2 | 2009 | 71802 | \n",
1204 "| 1 | 2 | 2010 | 68416 | \n",
1205 "| 1 | 2 | 2011 | 68019 | \n",
1206 "| 1 | 2 | 2012 | 65680 | \n",
1207 "| 1 | 3 | 2005 | 9756 | \n",
1208 "| 1 | 3 | 2006 | 9122 | \n",
1209 "| 1 | 3 | 2007 | 8610 | \n",
1210 "| 1 | 3 | 2008 | 7795 | \n",
1211 "| 1 | 3 | 2009 | 7249 | \n",
1212 "| 1 | 3 | 2010 | 6701 | \n",
1213 "| 1 | 3 | 2011 | 6379 | \n",
1214 "| 1 | 3 | 2012 | 6168 | \n",
1215 "| 1 | 4 | 2005 | 1714 | \n",
1216 "| 1 | 4 | 2006 | 1574 | \n",
1217 "| 1 | 4 | 2007 | 1612 | \n",
1218 "| 1 | 4 | 2008 | 1373 | \n",
1219 "| 1 | 4 | 2009 | 1280 | \n",
1220 "| 1 | 4 | 2010 | 1180 | \n",
1221 "| ⋮ | ⋮ | ⋮ | ⋮ | \n",
1222 "| 28 | 2 | 2007 | 1 | \n",
1223 "| 28 | 4 | 2008 | 1 | \n",
1224 "| 29 | 1 | 2007 | 1 | \n",
1225 "| 29 | 2 | 2005 | 1 | \n",
1226 "| 29 | 2 | 2007 | 1 | \n",
1227 "| 29 | 5 | 2007 | 1 | \n",
1228 "| 32 | 2 | 2008 | 1 | \n",
1229 "| 33 | 2 | 2012 | 1 | \n",
1230 "| 35 | 4 | 2005 | 1 | \n",
1231 "| 36 | 2 | 2006 | 1 | \n",
1232 "| 36 | 3 | 2010 | 1 | \n",
1233 "| 38 | 4 | 2012 | 1 | \n",
1234 "| 40 | 2 | 2010 | 1 | \n",
1235 "| 40 | 4 | 2007 | 1 | \n",
1236 "| 41 | 2 | 2006 | 1 | \n",
1237 "| 42 | 1 | 2010 | 1 | \n",
1238 "| 42 | 2 | 2012 | 1 | \n",
1239 "| 42 | 8 | 2007 | 1 | \n",
1240 "| 43 | 1 | 2010 | 1 | \n",
1241 "| 43 | 4 | 2010 | 1 | \n",
1242 "| 45 | 1 | 2006 | 1 | \n",
1243 "| 45 | 3 | 2008 | 1 | \n",
1244 "| 47 | 3 | 2008 | 1 | \n",
1245 "| 48 | 1 | 2009 | 1 | \n",
1246 "| 51 | 2 | 2011 | 1 | \n",
1247 "| 51 | 34 | 2011 | 1 | \n",
1248 "| 62 | 2 | 2008 | 1 | \n",
1249 "| 63 | 2 | 2011 | 1 | \n",
1250 "| 68 | 1 | 2007 | 1 | \n",
1251 "| 87 | 5 | 2011 | 1 | \n",
1252 "\n",
1253 "\n"
1254 ],
1255 "text/plain": [
1256 " Number_of_Casualties Number_of_Vehicles year n \n",
1257 "1 1 1 2005 52027\n",
1258 "2 1 1 2006 49358\n",
1259 "3 1 1 2007 48023\n",
1260 "4 1 1 2008 46121\n",
1261 "5 1 1 2009 44076\n",
1262 "6 1 1 2010 41760\n",
1263 "7 1 1 2011 41082\n",
1264 "8 1 1 2012 39217\n",
1265 "9 1 2 2005 86717\n",
1266 "10 1 2 2006 82553\n",
1267 "11 1 2 2007 79828\n",
1268 "12 1 2 2008 74819\n",
1269 "13 1 2 2009 71802\n",
1270 "14 1 2 2010 68416\n",
1271 "15 1 2 2011 68019\n",
1272 "16 1 2 2012 65680\n",
1273 "17 1 3 2005 9756\n",
1274 "18 1 3 2006 9122\n",
1275 "19 1 3 2007 8610\n",
1276 "20 1 3 2008 7795\n",
1277 "21 1 3 2009 7249\n",
1278 "22 1 3 2010 6701\n",
1279 "23 1 3 2011 6379\n",
1280 "24 1 3 2012 6168\n",
1281 "25 1 4 2005 1714\n",
1282 "26 1 4 2006 1574\n",
1283 "27 1 4 2007 1612\n",
1284 "28 1 4 2008 1373\n",
1285 "29 1 4 2009 1280\n",
1286 "30 1 4 2010 1180\n",
1287 "⋮ ⋮ ⋮ ⋮ ⋮ \n",
1288 "925 28 2 2007 1 \n",
1289 "926 28 4 2008 1 \n",
1290 "927 29 1 2007 1 \n",
1291 "928 29 2 2005 1 \n",
1292 "929 29 2 2007 1 \n",
1293 "930 29 5 2007 1 \n",
1294 "931 32 2 2008 1 \n",
1295 "932 33 2 2012 1 \n",
1296 "933 35 4 2005 1 \n",
1297 "934 36 2 2006 1 \n",
1298 "935 36 3 2010 1 \n",
1299 "936 38 4 2012 1 \n",
1300 "937 40 2 2010 1 \n",
1301 "938 40 4 2007 1 \n",
1302 "939 41 2 2006 1 \n",
1303 "940 42 1 2010 1 \n",
1304 "941 42 2 2012 1 \n",
1305 "942 42 8 2007 1 \n",
1306 "943 43 1 2010 1 \n",
1307 "944 43 4 2010 1 \n",
1308 "945 45 1 2006 1 \n",
1309 "946 45 3 2008 1 \n",
1310 "947 47 3 2008 1 \n",
1311 "948 48 1 2009 1 \n",
1312 "949 51 2 2011 1 \n",
1313 "950 51 34 2011 1 \n",
1314 "951 62 2 2008 1 \n",
1315 "952 63 2 2011 1 \n",
1316 "953 68 1 2007 1 \n",
1317 "954 87 5 2011 1 "
1318 ]
1319 },
1320 "metadata": {},
1321 "output_type": "display_data"
1322 }
1323 ],
1324 "source": [
1325 "cv_date %>% count(Number_of_Casualties, Number_of_Vehicles, yearf) -> cvyf_xtab\n",
1326 "cv_date %>% count(Number_of_Casualties, Number_of_Vehicles, year) -> cvy_xtab\n",
1327 "cvy_xtab"
1328 ]
1329 },
1330 {
1331 "cell_type": "code",
1332 "execution_count": 12,
1333 "metadata": {},
1334 "outputs": [
1335 {
1336 "data": {},
1337 "metadata": {},
1338 "output_type": "display_data"
1339 },
1340 {
1341 "data": {
1342 "image/png": 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jt0I3xe6ogL025McfZsUSd5eXnl5eVr1qxxuVyPPvro0KFDd+3alZGRkZ+fX1hY\nuHLlSqvVescdd0yfPn316tVCiDO2X3PNNW+++WZDn/X19bfddtuYMWOifMJCCCGkeNxnrby8\nvDVPl2XZ6/WGQqHq6upolRSPXC6XqqoNf2R0TB6PR5KkioqKWBcSS3a7XVGUurq6WBcSS263\n2263V1RU6Loe61piRpZlt9tdVVUV60Jiyel0ulyu6urqUOhsRndMw+v1RveLMTU1NYq9NfD7\n/U1sKba/YuP2A39IS8xWZIchRG3gkCfhgsu7TbNZ3I095bQtxQ4fPuzz+bZu3Tp48GAhRDgc\nTk9PX7RoUW5ubmZm5qpVq3JycoQQ69evHzt27KFDhxwOxxnb09LSTn2VO+64w2azLVu2rPXv\nwPcxFQsAAMzGMPQjVR95nOcrskMIIQnhdvgOV/3zeM3u5neiadrChQsHDBgQeRgOhwOBgK7r\nu3fvrq2tHTFiRKR92LBh4XB4x44djbWf2ufbb7+9YcOGJUuWROEkz4RgBwAAzEbTg/srNlot\nzlMbrRZnSK1pfifdu3dfsGCB3W4XQvj9/ilTpni93vHjxx85csRms6WkpEQOs9lsHo+ntLS0\nsfbvqtK0uXPnLl68ONJnWyDYAQAAs7HI9p6dhoe07y4yMQwR1uoc1pSWdmUYxurVq/v06XP8\n+PGioiKv12sYhiRJpx2mqmpj7Q0/P//88xaLJTJR20a4eQIAAJiNJMldkwd+sP+/ZZfNriTq\nhl5d/7Uv5eq0xEta1E9ZWVlOTk5JScnixYsnTpwoy7IQIiMjIxgM1tTUuN1uIYSqqpWVlT6f\nLykp6YztDb09/vjjM2bMiOqJno4ROwAAYEK+lMFXdL/DrrgPVX1wuPL9jOQr+nS5xWpJaH4P\nhmGMGjUqOTm5uLh40qRJkVQnhMjOzk5ISNi0aVPk4ZYtWywWS79+/Rprjzzctm3bZ599NmnS\npOid4hkwYgcAAExIkuSenYb7UgZfGp5kkR0J1lRJatl41saNG4uKiubMmbN9+/aGxt69e/t8\nvqlTpxYUFPh8PlmWZ8+enZubm56eLoRorF0I8corrwwaNCg5OTmK5/h9BDsAAGBaVkuC1dL9\n7J67c+dOwzDy8vJObVyxYsWsWbOWLl06b968sWPHapo2ZsyYhrVLGmsXQrzxxhvjxo076xNp\nJtax67hYx06wjp0QgnXshBCsYyeEYB07IQTr2H3LHOvYnYXT1rGLR1xjBwAAYD7kmrUAACAA\nSURBVBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASbBAMQAAiEsJCS3Y\nH6yDINgBAIC4FN3ViYUQsixLkhTdPtsZwQ4AAMSlYDDIzhOn4Ro7AAAAkyDYAQAAmATBDgAA\nwCQIdgAAACbBzRNRoAcr6o+8rdWXSkqiI22wNSU71hUBAICOiBG71jJ0zX/wlfojb+vBinD1\n5yc/fkCtOxjrogAAQEdEsGstPXTCf/h1JelCyeq2OLrI9k5qzZexLgoAAHREBLvWkiSLEEIy\n9G8bdCHxrgIAgBgggrSWZPMkdPuPcPUePXhC8x+0pWRbk/vEuigAACA0Q9/tL91UvfeD2v3l\n4dqz6OHYsWOTJ0/OzMz0eDwjR44sLi6OtKuqmp+fn5WV1bVr15kzZwaDwabbI/2kp6enpqZO\nmDDh4MG2umqLmydaS5JkV/ebZVsnrb5Utiba035kcXSJdVEAAHR0fj20pvxfb1R+mqw4w7ra\nN8E3LLn3AFe3FnWSl5dXXl6+Zs0al8v16KOPDh06dNeuXRkZGfn5+YWFhStXrrRarXfcccf0\n6dNXr14thGisffz48eFw+Mknn1QU5bHHHhs9evTHH3/cFmctGYbRFv22qfLy8tY8XZZlr9cb\nCoWqq6ujVVI8crlcqqo2/DHRMXk8HkmSKioqYl1ILNntdkVR6urqYl1ILLndbrvdXlFRoev6\nDx9tUrIsu93uqqqqWBcSS06n0+VyVVdXh0KhWNcSS16vN7pfjKmpqVHsrYHf729iS7FXKj4u\nPLnzYme6LCQhRKVa30lJmJI2qIs1qbGnnLal2OHDh30+39atWwcPHiyECIfD6enpixYtys3N\nzczMXLVqVU5OjhBi/fr1Y8eOPXTokMPhOGO72+1OSEjYsGHDiBEjhBDbtm27+uqrjx492qVL\n9EeCmIoFAABmoxra3sDxLJs3kuqEECmKc1f9kT31x5vfiaZpCxcuHDBgQORhOBwOBAK6ru/e\nvbu2tjaS0oQQw4YNC4fDO3bsaKzd4XBcc801Tz/99J49e7766qsnn3zysssua4tUJ5iKBQAA\n5hM2dEMIq/RvOccqyUFDbX4n3bt3X7BgQeRnv98/ZcoUr9c7fvz49957z2azpaSkRH5ls9k8\nHk9paWlSUtIZ24UQhYWFF1100UsvvSSESEpK+uSTT1p/jmfEiB0AADAbh6S4LY6T2ncXmejC\nqNICadbElnZlGMbq1av79Olz/PjxoqIir9drGIYkSacdpqpqY+11dXXDhg2L3HvxySefTJw4\ncfjw4SdPnjyL8/pBjNgBAACzkSTp+qQL36r6VAiRYnGGDf1AqGJUcvYlzswW9VNWVpaTk1NS\nUrJ48eKJEyfKsiyEyMjICAaDNTU1brdbCKGqamVlpc/nS0pKOmP7+vXr9+/f/9FHHymKIoR4\n8sknfT7fX//61ylTpkT9xBmxAwAAJpTtzHjIN6aPo4tDtqZYHDneyyek9ldastasYRijRo1K\nTk4uLi6eNGlSJNUJIbKzsxMSEjZt2hR5uGXLFovF0q9fv8baQ6GQrusN92bpuq5pWhvdvMiI\nHQAAMKdLEzIvTcgM6qpVssjfmyT9QRs3biwqKpozZ8727dsbGnv37u3z+aZOnVpQUODz+WRZ\nnj17dm5ubnp6uhDijO0jR45MTk7Ozc299957JUl64oknNE0bPXp0NE/1WwQ7AABgZnb5LNPO\nzp07DcPIy8s7tXHFihWzZs1aunTpvHnzxo4dq2namDFjli1bFvntGdu9Xu+mTZt+9atfjR49\nWtO0H/3oR5s2bcrIyGjleZ0R69h1XKxjJ1jHTgjBOnZCCNaxE0Kwjp0QgnXsvmWOdezOwmnr\n2MUjrrEDAAAwibMcnNQ0bf369bquDxkyJCmp0RWcAQAA0G6aO2JXV1c3ffr03r17Rx6OHTt2\n9OjRN9100+WXX37gwIE2Kw8AAADN1dxgt2DBgqeffrpfv35CiPfff/+1116bNm3aX//618rK\nyv/6r/9qywoBAADQLM2dii0sLPzpT3/64osvCiFee+01u93+6KOPJicnjx079t13323LCgEA\nANAszR2xO3r06KBBgyI/b9myZeDAgcnJyUKI3r17RzZBAwAAQGw1d8Sua9euH3/8sRDi0KFD\nW7dufeCBByLtn3zySVpaWltVBwAA0AhFURp2g4iK7+/0GneaG+zGjRv32GOPzZ49e/PmzYZh\njB8/3u/3//GPf3z55ZfHjBnTpiUCAAB8n81mi3UJ55zmBrv777//888/f+KJJ4QQDz744EUX\nXbRnz565c+f27NnzwQcfbMsKAQAAziAcDkd3n4WoDwG2v+YGO7fb/eqrr1ZXV0uS5Ha7hRDp\n6envvPPOVVdd5XK52rJCAACAMwiHw9HdeSLet50QLV2gWJblDz/8sKysbMiQISkpKUOGDDHB\nWwAAAGAOLRhvfOqppzIzM4cPH56bm7tnz54PP/ywW7dua9asabviAAAA0HzNDXavv/76jBkz\nBgwYUFhYGGnp1atXdnb2rbfe+sYbb7RZeQAAAGiu5k7FLl68+JJLLnn77bcV5ZunZGRkbNiw\n4corr1y8ePGoUaParEIAAAA0S3NH7Hbu3Dlu3LiGVPfNk2X5xhtv3LVrVxsUBgAAgJZpbrDz\neDyBQOD77aqqRm6SBQAAQGw1N9gNGjRo9erVJ0+ePLXx+PHjzz333BVXXNEGhQEAAKBlmhvs\nlixZUl1d3a9fv4cfflgI8eabb953333Z2dk1NTVLlixpywoBAADQLM0Ndj179ty8eXNWVtb9\n998vhFi8ePGiRYv69u37j3/848ILL2zLCgEAAM5Gjaa9W137vxUn/3Ky8tP6+rPo4dixY5Mn\nT87MzPR4PCNHjiwuLo60q6qan5+flZXVtWvXmTNnBoPBptsPHDgwYcKEtLS0bt26TZ06tbq6\nOion+H0tWMeub9++f//730+cOPH+++8XFRVVVVW98847l19+eRtVBgAAcNbKVfVPZSeePXFi\na03dm1U1vz58dH1Vi+NUXl5ecXHxmjVrNmzYkJSUNHTo0CNHjggh8vPzX3zxxeXLlz/zzDNv\nvfXW9OnTI8efsb2urm7o0KF+v/9vf/vb888///nnn998883RPdkGUnQ3WWsf5eXlrXm6LMte\nrzcUCrVdXo4LLpdLVdWGPyY6Jo/HI0lSRUVFrAuJJbvdrihKXV1drAuJJbfbbbfbKyoqdF2P\ndS0xI8uy2+2uqqqKdSGx5HQ6XS5XdXV1KBSKdS2x5PV6o/vFmJqaGsXeGvj9/ia2FFtdXvGP\n2trz7fbIw3pd/9hf/3h3X0+7rbGnJCQknLql1uHDh30+39atWwcPHiyECIfD6enpixYtys3N\nzczMXLVqVU5OjhBi/fr1Y8eOPXTokMPhOGP75s2b8/LyTpw4kZCQIIQ4dOhQt27diouLL730\n0ii9E99pah27H//4x83sZfPmzdEoBgAAIApCun44HM60fpfhnLLsUSz7Q6Emgt1pNE1buHDh\ngAEDIg/D4XAgENB1fffu3bW1tSNGjIi0Dxs2LBwO79ixw+12n7G9qqrKZrM5nc5Iu8fjkWV5\n9+7dbRHsWjAVCwAAEBci05GS9G/TkrIQekvmKbt3775gwQK73S6E8Pv9U6ZM8Xq948ePP3Lk\niM1mS0lJiRxms9k8Hk9paWlj7UOHDlVV9f7776+qqiotLZ05c6au68eOHYvCeX5PUyN2jMMB\nAIB4ZJflNEXZ7vf3sH0zPhcyjApV81mbu+dWA8Mwnn/++fnz5/fs2bOoqMjr9RqGIUnSaYep\nqtpYe48ePV566aWZM2cuWrTIbrcXFBR4PJ42mp5uwelVV1e//PLLPXr0GDZsmBBi7dq1JSUl\nM2bM8Hq9bVEZAADAWRuZ5H71ZFVINzwWS1gYh4Phn6V6eznsLeqkrKwsJyenpKRk8eLFEydO\nlGVZCJGRkREMBmtqaiJ7NKiqWllZ6fP5kpKSztguhLjxxhsPHjx45MiRTp06qar60EMPRdqj\nrrlTsfv377/88sv/3//7fx999FGk5eDBg/fdd1/fvn0PHDjQFpUBAACcNZ/dtqpn99EpSb2c\n9itcCfdmdP6PlOTvj6g1wTCMUaNGJScnFxcXT5o0KZLqhBDZ2dkJCQmbNm2KPNyyZYvFYunX\nr19j7cePH8/Nzf38888zMjJsNturr76ampoauSEj6po7YvfrX/+6vLz8zTff/MlPfhJpKSgo\nGDFixMiRI++///7nn3++mf1UVlY+++yzH3/8cSgU6t27989//vOsrCwhhKZpf/7zn7dt26aq\n6sCBA6dPn261Wlt+OgAAAN/obFX+w5Ny1k/fuHFjUVHRnDlztm/f3tDYu3dvn883derUgoIC\nn88ny/Ls2bNzc3PT09OFEI21f/7559OmTfvtb39bUVFxzz333HvvvTZbc+/haJHmLneSkZGR\nl5f36KOPntb+wAMP/PnPf27+oN0DDzxQXV09bdo0u93+l7/8pbi4eMWKFR6P56mnntq2bdvt\nt9+uKMrKlSsvvvjiOXPmNNZJXC93Imma8NcJh8Owtsl/0R949XBYBOoNZ4JQFJY7ESx3IoRg\nuRMhBMudCCFY7kQIwXIn3zLHcidn4bTlTv77v/87Pz//tGNWrFgxa9YsVVXnzZv3yiuvaJo2\nZsyYZcuWRe6xaKx9//79t99++9atW7OysqZOnTp79uwoln2q5gY7r9c7e/bs//zP/zyt/aGH\nHnrsscea+Z//xIkTt9122yOPPNKnTx8hhKZpkydPnjx58rXXXjtlypR77rnn6quvFkIUFRU9\n9NBDzz77bHJy8hn7id9gZyk/bvlyj2X/PkmI4FXXaFnnt+urHyixHDpgObBfzzo/3PN853kX\nEOwIdoJgJ4Qg2AkhCHZCCILdtwh28au5U7EDBgwoLCwsKChoWIVFCBEMBl9++eV+/fo1sxNd\n13Nzc88//5s0o6pqKBTSdf3rr78OBAIN/fTt21fTtH379jVsa3HgwIGG/+vY7fZW3q4RmV+X\nJElRWnxrTKteNxxW9n0hamuMHj2NUND+z/dD3k7C2yaf9TO8elWl9YPNeucMo0dPua7Gvn+f\n1LWbxWZr5zfhXBP5MHTwN8Fisciy3MHfhMilM4qidPBg1/5fjOeayCfBYrF08PdBdPgvxvjV\n3P9sCxcuHDJkyI9+9KN77rnnoosuUhRlz549jz/++M6dO996661mdpKWlpabmxv5ORgMLlu2\nzO12X3PNNbt371YUxeVyfVOToiQmJp76t8JDDz1UVFQU+blXr14vvPBCM1+xCVartWGlmfZh\nlJeFSw/KPc4TQgiHwwjUOwxdbq8a9MoTmjtJigyCOhzGwa8twXo5JSWyCnYH186fhHOT3d6y\nO8VMKSkpKdYlxB7/HIQQDf8/6sj4JMSp5ga7q6++urCwcO7cuVOnTm1ozMjIWL169fDhw1v0\nkoZhbNq06X/+53+6dOmydOlSt9t9xnVfTh1c/fGPf9yjR4/Iz507dw4EAi16xdNIkmS323Vd\nb++RdkmSwpoaDAqLRRiGCAQ0IYnWnUuLXl4Eg0JVhRBC10Q4JCwWLRyO7iB23ImkmQ4+H22x\nWCRJUiOfjY7KarVaLJZgMBiPuyxGiyRJVqu1g09BKoqiKEqY70a7PbpfjA6HI4q9oQktGGgd\nM2bMDTfcsGPHji+//DIUCl1wwQX9+/dv6XhPVVXVkiVLjh07NmXKlGuvvTaS57xebzgcrq+v\nj8zzappWW1t76nz8rbfeemonrb/Gzm63q6paW1vbmn5ayjAM2yWXKZ8UGw6nCIX0Hlkhl1u0\nWw1Ol617T3n/V8Jul+oDap9sW0KiGgh08ExjtVolSWrnT8K5hmvshBBut9tisdTV1XXwqdjI\nhkixLiSWnE6noij19fUdPODabLbofhIIdu2mZTPoVqt14MCBAwcOPLsXMwzjN7/5jdfrXb58\n+amJsHv37na7fdeuXZGeP/30U1mWe/bseXavcs6SJCncO1tL8Uq1NcLh1NIzRXtewWCxhPv2\nl9O6SIF63ZWop2faWrKWDwAAOPf9QLCQJCk9Pf3IkSNXXnllE4f961//as6LFRcXf/XVVzfd\ndNMXX3zR0Ni1a9fU1NThw4c/++yznTp1kiTp6aefvu666zweT3P6jDOyrGd0jdWLGxZF69Yj\nVq8OAADa2g8Eu/T09LS0NBGlG5VLSkoMw3jsscdObZwxY8aNN944bdq0VatWPfTQQ7quDxo0\naNq0aa1/OQAAYGI2my2618U27C0Rv5q7jt05JX7XsTunsECxYB07IQTX2AkhWMdOCME6dkII\n1rH7VrysY4fvY5UaAAAQl4LBYHT/GLPb7fE+aNfcYFdVVTVv3ryNGzf6/f7v//bIkSNRrQoA\nAOAHaJoW3YVp2mj/1vbU3GA3d+7cVatW9evX75prron3MAsAAGBKzQ12r7322i233LJu3brv\nryQMAACAc0Fzx950Xb/hhhtIdQAAAOes5ga7QYMGFRcXt2kpAAAAaI3mBrsnnnjiL3/5y1NP\nPdXBt88DAAA4ZzV1jd1pu01omvaLX/xi7ty5WVlZp2361sydJwAAANB2mgp2py0nmJqaetll\nl7VxPQAAADhLTQW79evXt1sdAAAA55pjx44VFBS888479fX1gwYNeuSRRyKDXKqq/vKXvyws\nLAyHw6NHj3788cftdnvDs0KhUEZGxt69ezt16hRpafr4KGrZinS1tbXvvvvu2rVrjx49GggE\nuN4OAACcs76ul//nkPW/99me/Nq26YQSbHlsycvLKy4uXrNmzYYNG5KSkoYOHRrZlCE/P//F\nF19cvnz5M88889Zbb02fPj1yfCAQ2Lhx489+9rPT9mRr7Pioa0Gwe+qppzIzM4cPH56bm7tn\nz54PP/ywW7dua9asaaPKAAAAzlqJX561y7HlpHI8KH9RJ6/cb335qFU3WtDD4cOH33333T/8\n4Q/XX3/9wIED16xZYxjG3/72t5qamlWrVi1dunT06NEjR478/e9//+KLL5aVlQkhli9fPmXK\nlPfee+/Ufpo4PuqaG+xef/31GTNmDBgwoLCwMNLSq1ev7OzsW2+99Y033miLytA+jgblwmP2\nVYcdb5TZqlXWKQQAmMSGMqVHgt7DqSdbjVSbcWmSvq7U+mlNC4a0NE1buHDhgAEDIg/D4XAg\nENB1fffu3bW1tSNGjIi0Dxs2LBwO79ixQwhRUFBw8ODB06JRE8dHXXNPb/HixZdccsnbb799\n8803R1oyMjI2bNjQv3//xYsXt0VlaAeVYWntUfvb5bbPapV1xxzrjtrVlvwpAwDAuSmgiZNh\nKdX63f/VFEl4rMbRUAuCXffu3RcsWBC5GM7v90+ZMsXr9Y4fP/7IkSM2my0lJSVymM1m83g8\npaWljfXT0uNbo7mnt3PnznHjxinKv91sIcvyjTfeuGvXrjYoDO1hb538UbX1vAQtzab3calv\nlNuPBtkIGAAQ9yySEIahG/82E6UJYREtHsAwDGP16tV9+vQ5fvx4UVGR1+s1DOP7e3GpqtpE\nDy06vjWau1esx+MJBALfb1dV1e12R7UktB9VF5ZvP2mSIWQhVIPZWABA3LPKoqfLePO41Ntl\nCEkIIeo06WRYutClt6ifsrKynJyckpKSxYsXT5w4UZZlIURGRkYwGKypqYlEIFVVKysrfT5f\nY5209PjWaMGWYqtXrz558uSpjcePH3/uueeuuOKKNigM7eF8l14Zlo6G5DpNKglYhnhDmY6W\nfeIBADg33ZCm9k/WPq6R99fLX9TKO6vl/J5Bn7MFI3aGYYwaNSo5Obm4uHjSpEmRVCeEyM7O\nTkhI2LRpU+Thli1bLBZLv379Guunpce3RnNH7JYsWdK3b99+/frNmDFDCPHmm29u2LDhqaee\nCgQCS5YsaYvK0A662I2HL6zdXGmrCkvnp4RHdArZJC6yAwCYQbLV+EX30JUpluNByWkRfRL1\n7s6WDV5s3LixqKhozpw527dvb2js3bu3z+ebOnVqQUGBz+eTZXn27Nm5ubnp6emNVpKc3KLj\nW6O5wa5nz56bN2++++6777//fiFE5IaJYcOG/e53v7vwwgvbojK0j4sStYsS63VDyMzBAgDM\nxWERP/Kc/Zq7O3fuNAwjLy/v1MYVK1bMmjVr6dKl8+bNGzt2rKZpY8aMWbZsWdNdtfT4syYZ\nRqMjNHl5eTk5OSNHjjx1Z9iKioq9e/fabLYLLrggKSmpjcpqWnl5eWueLsuy1+sNhULV1dXR\nKikeuVwuVVWDwWCsC4klj8cjSdJpy0h2NHa7XVGUurq6WBcSS2632263V1RU6HrHvRpBlmW3\n211VVRXrQmLJ6XS6XK7q6upQKBTrWmLJ6/VG94vxtE1Ko8Xv90d3r4SEhASLxRLFDttfUyN2\nL7zwwgsvvJCYmDh69OhIwnM6nV6v96qrrmq3+gAAANBMTd088fnnn0eWr1u7du3NN9/cuXPn\n3NzcV155pb6+vt3qAwAAQDM1Fex69+79y1/+8v333z98+PCTTz55zTXXvPLKK7fccktaWtqE\nCRNefvllv9/fboUCAACgac1a7iQjI2PGjBnr168vKytbu3bt6NGj33zzzZycnLS0tPHjx69b\nt66tqwQAAMAPatk2A0lJSRMmTPjf//3fsrKy9evX9+/ff926dePHj2+j4gAAANB8zV3u5FTF\nxcXr1q1bt27dnj17hBDZ2dnRrgoAAAAt1oJg9/HHH0fy3BdffCGEuOCCC+bPnz9x4kSCHQAA\nwLngh4PdRx99FMlzX331lRCie/fuBQUFEydO7N+/f9uXBwAAcGanrrMbFQ2bhsWvpoLdL3/5\ny3Xr1pWUlAghMjIy7r777gkTJvzoRz+SJPYoAAAAMWaCHBZ1TQW7Rx55JDU1dcaMGRMmTLju\nuut4+wAAwLmjvr4+urvFOBwOM+88sX79+uHDhytKc6/Du++++x5++OFoVAUAAPADDMPoyNsA\nnlFTg3AjR45sfqoTQjz77LOtrgcAAABnidlVAAAAkzibdezwfXKVKp9UDbusdbEKuambS6Sq\nSqm2RjgcujdVtN1tKIYhnTwh1dcLV6Ke4mmrVwEAAOcSgl0UWL8KJLxdaThkoRqhixMCA11C\nOfNQqFLypfWfWw2bQ1LDap/scHZf0Ra3pBiG8tkuZfdOYbPJoVCw3xVar4ui/yoAAOAcQ7Br\nLSlkJLxdqWbaDIcsdGH7rF7NtKpZZ1hZR6qvt364VcvIFIpVGIbl80/1Lhla5/SolyRXVii7\ndxoZmYZsMTTVvuNf9RldDXdS1F8IAACcU7jGrrUkvyYkYThkIYSQheGQZX8jd+gE/IbFIhSr\nEEJIkmS3Cb+/TWry+4XNZsgWIYRhUQyrVapvmxcCAADnEoJdaxkuS/h8p1SvCyGELqSApiee\neQkcw+mSNE0Eg0IISdeMYFAkJrZJTa5EKRQUmiqEEOGwFA4brrZ5IQAAcC4h2LWWYZVCFzqU\nI2HlUMh6IBjqm6h2tZ35UIcjdPUQ5fgxy9FSufSwmn2Z2imtLUrSklPC/a5UjpRajh2xHC0N\nDRxMsAMAdEyGIbSApKtn+fRjx45Nnjw5MzPT4/GMHDmyuLg40q6qan5+flZWVteuXWfOnBkM\nBk99VigU6tSp04kTJ07rrbH2KOIauyhQe9hrJqfJlaphlzWvIhq/1VXr1qN+9C1SbY1wOjV3\nUhttziZJktrrIi09Q6oPGC6Xkehui1cBAOAc5z9s8R+01JYoru6aLUVPPE+1OI0W9ZCXl1de\nXr5mzRqXy/Xoo48OHTp0165dGRkZ+fn5hYWFK1eutFqtd9xxx/Tp01evXi2ECAQC27Zt++Mf\n/1hRUXFqP421Rx3BLjr0BFlPaGSg7t8ZLpfhcgnRRPyLDiMpxeB+CQBAR1V/1FK2xW7rpLt8\nmq6Kmi8VLSCl9A3Jzc4+hw8ffvfdd7du3Tp48GAhxJo1a9LT0//2t7/l5uauWrVq1apVo0eP\nFkL8/ve/Hzt27GOPPZaWlrZ8+fInnngiFAqd1lVj7VHX1FTszTffvGnTpsjPN9xww65du5ru\na8mSJVGrCwAA4KwZwn/AYvfoitMQspAVYU/Va0uUYFkLtoLVNG3hwoUDBgyIPAyHw4FAQNf1\n3bt319bWjhgxItI+bNiwcDi8Y8cOIURBQcHBgwffeOON07pqrD3qmkqt7777riRJXbt2tdvt\nb7755s9//vOkpDMPAfXo0UMIMXny5DapEQAAoCV0VehhSXb828SrbDe0+hZMmHXv3n3BggWR\nn/1+/5QpU7xe7/jx49977z2bzZaSkhL5lc1m83g8paWl0Sq+NZoKdlOmTFm+fPkrr7wSeThx\n4sTGjjSMls1YAwAAtB3JIoRkGKosWb6LKIYmJGuLE4thGM8///z8+fN79uxZVFTk9XoNw/j+\nVfKqerY3aERVU8HuiSeeuPnmm/ft22cYxrRp0woKCnr37t1ulQEAAJwdSRaONP3kLosjzZBk\nIYRQ/ZKji+ZIbWSt2UaUlZXl5OSUlJQsXrx44sSJsiwLITIyMoLBYE1NjdvtFkKoqlpZWenz\n+drgPFrsBy4gHDJkyJAhQ4QQkanYiy++uD2KAgAAaB1XT1ULSFWfWWWrIXThyNTcF7TsrljD\nMEaNGpWZmVlcXJycnNzQnp2dnZCQsGnTpjFjxgghtmzZYrFY+vXrF/1zaLnm3hmybt06IYRh\nGF9//fVXX32lqmqvXr169Oght8VWpwAAAK0jKyL5krCruxaulWTFsHkM2dayediNGzcWFRXN\nmTNn+/btDY29e/f2+XxTp04tKCjw+XyyLM+ePTs3Nzc9Pfp7hJ6FFix38vbbb8+bN69haT4h\nRHZ29tKlSxvuCgEAADh3SJKwJuvW5B8+8ox27txpGEZeXt6pjStWrJg1k93hTgAAIABJREFU\na9bSpUvnzZs3duxYTdPGjBmzbNmyKJQbDVIz73vYvn374MGDO3fuPGPGjEsuuUSW5U8++WTl\nypXHjh374IMP+vfv39aFnqq8vLw1T5dl2ev1hkKh6urqaJUUj1wul6qqpy2W3dF4PB5Jktp6\nuchznN1uVxSlrq4u1oXEktvtttvtFRUVut6y62/MRJZlt9tdVVUV60Jiyel0ulyu6urqdlhv\n7Fzm9Xqj+8WYmpoaxd4a+P1+TdOi2GFCQoLF0oL1UM5BzR2xmz9/fmZmZlFRUadOnSItN910\n08yZMwcMGDB//vx2WJcFAAAATWvuFXIff/xxXl5eQ6qL8Hq9t956a2RFPgAAAMRWc4NdEzO2\nLGIHAABwLmhusLv88stfeOGFEydOnNp48uTJF154oZ0vsAMAAMAZNfcau9/+9rdXX3113759\nb7/99ksuuUQI8emnn65cufLo0aNr165tywoBAADQLM0NdldeeeVrr702d+7c+fPnNzRefPHF\nf/rTn6688sq2qa3dqaqwWMT3NgkBAACICy1Yx+4nP/lJcXHx/v37v/zyS8Mwzj///PPOO+/U\nBYrvu+++hx9+uA2KbHNSvV/Z+5lUWyPJFjUjU+1x3vf3gAMAADjHtSDYCSFkWT7vvPPOO++8\nM/722WefjdNgp3y2Wz58QCSniGDQ+s9tIsGldT4n1o8GAACNSUhIiO4dnCYY1mFDMCEFg8re\nT40Ur2FRDLtduNzSyQ69XC0AAHGBdTm+r2UjduakKHr3niIUEpFpZUMz4nzVaQAAOoL6+np2\nnjgNI3bCsFj01M6W8jKpplo+WaF3StO7ZMS6KAAAgBZjxE4IIULn99KdCXJVpWFVtPSuhjsp\n1hUBAAC0GMFOCCEki0Xr1kPr1iPWhQAAAJw9pmIBAABMgmAHAABgEgQ7AAAAkyDYAQAAmESz\ngt327dt79uy5cuXKpg9bsmRJNEoCAADA2WhWsMvOzi4vL//73//e9GGTJ0+ORkkAAADRIdVp\n8pGgfCIsVP0snn7s2LHJkydnZmZ6PJ6RI0cWFxdH2lVVzc/Pz8rK6tq168yZM4PB4KnPCoVC\nnTp1OnHixA/2E3XNCnb/n707j4+qPhfH/3w+Zz+zT/ZksgEhwQAJhF3FBRDcKFrxitTa0urV\naluV+uqr997e2tvbavX7K721VWuVUiv3upRq3ZBFdkUERCDsAQJkIdtk9uWsvz9GUgwQkjDJ\nkOR5/8U8c5bnnITJM5/zWSRJeu2111avXr1s2TLD6M19QQghhBDqV7rJfhGUljaKb7eKrzXx\nm/20Ve3pMRYuXLhnz57ly5evWrXKbrdff/31jY2NALB48eLXX3/92Wefffnll1evXn3fffcl\nto/FYuvWrbvnnnu8Xm93jpN0pJvrrM2fP//YsWOff/650+nMy8uTJOnsd7dv394XyV1Ia2vr\npexOKXW73YqiBAKBZKU0EFksFk3TOn3JGGpcLhchpNN/v6FGEASWZcPhcKoTSSWbzSYIgtfr\nHcrfXSmlNpvN7/enOpFUkiTJYrEEAgFFUVKdSyq53e7kfjCmp6cn8WgdIpFIF0uKsQcj/Aav\nnisCR8AE4lONTF69ymmKF2zV6rSkWH19vcfj+fjjj6dNmwYAqqpmZ2c/+eSTCxYsyM3NXbp0\n6fz58wFg5cqV8+bNq6ury8jIeOaZZ373u98pitLc3Nza2pqWltbFce6///4k3o2E7g6eCIVC\nmZmZc+bMmTJlSn5+fvpXJT0thBBCCKHeM4GejBkZPHAEAICA6eKY2hht6EFzhq7rTzzxRFVV\nVeKlqqqxWMwwjOrq6lAoNGvWrER8xowZqqru2rULAB5//PFTp0598MEH3TnOJV/keXR35YmV\nK1f2xekRQgghhJKOaCZ7MKwXf+UBI3CUxHpQThUUFPzsZz9L/DsSidx7771ut/vOO+/csGED\nz/NOpzPxFs/zLperoaGhp8fp0RV1U8+mOwmFQh999NFrr712+vTpWCzWRfsnQgghhFCqmCxo\noywkflZ/M9OEuGFKzIV3usChTPOVV14pKytrbm7euXOn2+02TZMQ0mkzTdN6epyeZtIdPVgr\n9k9/+tPixYuDwSAAbNiwAQAWLFjwzDPPLFy4sC8yQwghhBDqJUL0YpFd4zVY3hQYMIG2afpw\n0cjje3SYlpaW+fPnHz9+/KmnnrrrrrsopQCQk5MTj8eDwaDNZgMATdN8Pp/H4+npcfpCd4/7\n/vvv/+u//mtVVdWKFSsSkZEjR5aXl3/jG9/o9CAZIYQQQijl9OGScq3bEChzLMocjWqFojre\nZvI9qKhM07zpppscDseePXvuvvvujmqsvLxcluX169cnXm7ZsoVhmMrKyp4epy90t8Xuqaee\nGj169Jo1a1j2y11ycnJWrVo1ceLEp5566qabbuqzDBFCCCGEeo4QbZRMhovaZMPkwLQycM7z\n066tW7du586djz766I4dOzqCpaWlHo9n0aJFjz/+uMfjoZQ+8sgjCxYsyM7O7sVxenFZXetu\nYbd79+4f/ehHHVVdAqX05ptvfvbZZ5OeVj8zTaMp9EUgdpKlYpZtvIXPBAAwTPZUnGnXTZ5o\nBYJhZQDANDSlfZceriOcRUibQPmePSAPG9r/+U4djYfSGeEuZ34eL118n14JG8pn4RPteiSD\ntU6UC0TK9dGJEEIIocuZyVPT3csWst27d5um2anL2e9///uHHnpoyZIlP/rRj+bNm6fr+ty5\nc3/729/27ji9S6wL3S3sXC5XLBY7N65pWuIB84B23Lt6T+NSmc/S9Fhb5EB51kKZz+T3RcRt\nIdPGgApsoxqbYjMsNFr/frj2/xgxw9Qiqm+/Zdg3GaG7tZ1mGP9xev+HgYiNmjEz/Hk0uCSv\nPJMVk345iqkv9+74OHzczgg+PXY03vYNdxVLetxdFCGEEBrKHnvssccee+y8b7Es+9vf/vZC\n9VxVVdXZ8wR3cZyk624NO3ny5FdeeaW9vf3sYHNz87JlyyZMmNAHifUf3VBaQnvd8ii7kO+W\nS1pC+5tCXxDVZBtVPZvXXayeyTINClsXN7VQ6OhSzlHOyPmsvTTevlv17e3+iQ4qgfcCsWE8\nzeHYYpbsiiprAk19cUU18ZZ1wSNXCNn5nKtcyH4vsK9OHdIzjiKEEEJDRHcLu1//+teBQKCy\nsvJXv/oVAHz44Yf/9m//Vl5eHgwGf/3rX/dlhn1OM2Kn/FtYKiReMlTQjCgoBncsbnJnHsaz\nBBTT0KJAKNAvB9RQRjT1aPdP5NNVYpps4gE/pRwhfr1PZjaPGipPmS/PQwhPmIgxpKdQRwgh\nhIaI7hZ2xcXFmzdvLioq+vd//3cAeOqpp5588smKiopNmzaVlJT0ZYZ9TmDtI9JvCcROGYau\n6uGo2mwXCkyZUcolxquBbpK4QUO64WYp7xazZ+qRU2DqphbS4y2spbD7JxotOSslpknVDTD9\nmh4xyDiLqy+uKJ93BfWYV4sYYDZroYmWgjzO0RcnQgghhNBlpQfz2FVUVGzcuNHr9R4+fJjn\n+REjRtjt9r7LrD+NSLuVADnS+m6+46qxOd/JtFUCQHyMDAT4vRF1hBS9WtJyOUKInP+1KGWj\n9R8ImVfbRz7E2su6fxYn5R5Mz3+pre7TiFYpMve406bKfbIaWyZr/c/sORvDR9cHj8ywjZxl\nL3UwfTVKAyGEEEKXD3J2576Lqq2t3bBhQ01NjSAIJSUls2fPdrn6pM2pa62trZeyO6XU7XYr\nihIIBDqCJpiKFmCpyJx5JpuIkqgOAmOeNfDANA1DDVBWJrRnkxwmaKZZp4QyOUmmPaiqe3Ui\nI6jH7IzIkPO3y1osFk3T4vEerJo3+LhcLkJIcte6HnAEQWBZNhwOpzqRVLLZbIIgeL3ePlq9\ncUCglNpsNr9/SHfJlSTJYrEEAgFFGdI9WNxud3I/GPtoWflIJJLcRbBkWWaYgT3WsAe1xY9/\n/OPf/va3Z/+uO53OX/ziFw8//HAfJNbfCBCBPed5JQFT7vwDJoQyvLPXJ2IJKRL6YxwxS6iL\nlfvhRAghhBC6THS3j91zzz339NNPV1VVffjhh83NzU1NTR988EFZWdn3v//9v//9732aIkII\nIYQQ6o7uPoqdMGFCLBbbvn27JP2zt1YkEpk4cWJaWtqmTZv6LMPz6ItHsUMQPooFfBQLAPgo\nFgDwUSwA4KNYAMBHsWcMlEex6FzdbbE7fPjwvHnzzq7qAECW5TvuuGPPnj19kBhCCCGEEOqZ\n7hZ2V1xxRTAYPDfe2tpaWlqa1JQQQgghhFBvdLew+8EPfrBs2bJt27adHdy4ceOf//znRYsW\n9UFiCCGEEEKoZ7oaFfvzn//87Jf5+flTp06dOXPm6NGjTdPcvXv3+vXrJ0+ePGLEiD5OEiGE\nEEIIXVxXgycIIRd662wzZ85cs2ZN8lK6OBw8kRQ4eAJw8AQA4OAJAMDBEwCAgycAAAdPnIGD\nJwaurlrsNE3rziG6Wf8hhBBCCKE+1VVhN9AnX0YIIYQQGlK6u/JEXV3do48+um3btmg02ukt\nl8t1+PDhZCeGEEIIIYR6pruF3f3337927dqbbropOzu707NXbNhDCCGEELocdLew27Jly/Ll\ny+fPn9+n2SCEEEIIoV7r7jx2GRkZVVVVfZoKQgghhBC6FN0t7ObOnbt8+fI+TWWgMLWQGjii\nRRrODpJ4nLS1kuBX5k+JawFv5EhYaerfBBFCCCE0RHX3UezTTz995ZVXVldXz5gxw2KxdHp3\n4cKFyU7sMqX690cbVsVaPwVdtRTfJRd8nRCGaT7NHD1M609S3VDHjlPLRgMhTcFdJ3zr633b\nDFMZk3NvSfpcQrpbRiOEEEII9UJ3C7v3339/9+7d27dvf+ONN859d4gUdqahRhtWaZEGwV1l\nGmrk5N9Z63DRWcEcPUzCISPHY+oGW71Hd6XFM50n2tdFlNYce5VuKvtO/69bLkm3lKf6ChBC\nCCE0mHW3sPvFL34xderUn//851lZWSmfkdjlcl36QTiO6+lx1HCjz/uJNWc6AABIcT1bYsN2\nltUb6mjx8MQ2ZtzBEzBEpSmyo8A9LbFlzMgkfDgpaScRpdQ0TVmWU51IKiXGdF9uP5p+Rggh\nhPA8n+pEUolSCgAOhyPViaQYpRT/OwCA1WrtYlmmoQB/Ewau7hZ2R48e3bp166hRo/o0m27y\n+XyXsjshxO12q6oaDAZ7tKOpE+qcFAm2Us4KAErEG1U5UFVRU5VgADjeBGCCQUXTlShVlGgo\n0s5SyQQzHPNqcfYS0046WZZ1XcclxeCSf6MGOp7nOY7DJcV4ng8EArikGC4pJstyOBwe4kuK\nuVyu5H4wpqWlJfFoqAvdLewmTpzY0zKo71ziF6mOFsceH4cKQvrk4MHfEs5l6hEx+1reVWkw\nnDL5Kv6zTwxRoIqqDRthZOfwDDve89Cu+hcE1qkZ4ULnzHR59GX4/c80zcswq/5kmiYhXa2Y\nPETgb0Li8of4fTDPSHUiqYS/CR3wDgxQ3S3snnrqqR//+Mcvv/xyYWFhnyZ0mROzprPWQj18\nirAW3lkOlAcArWi44XQRvx8EQc/IAoYBgGL3LKc0LBRvEBh7muUKhnKpzh0hhBBCg1x3C7v/\n/u//rqurGz58+LBhw84dFbtr165kJ3b5Yi2FrKVzdWs43eB0dwq6pOEuaXh/5YUQQgihoa67\nhZ2maSUlJSUlJX2aDUIIIYQQ6rXuFnbvvvtun+aBEEIIIYQuEU6ZixBCCCE0SHS3xW7MmDEX\nemvKlCl/+tOfkpQPQgghhBDqpe4WdkVFRWe/jMViNTU1tbW106dPnzhxYvLzQgghhBBCPXRJ\nfezef//973znO+PGjUtqSgghhBBCqDcuqY/dzTffvGjRov/8z/9MVjYIIYQQQqjXLnXwRElJ\nybZt25KSCkIIIYQQuhSXVNjpur5ixQqr1ZqsbBBCCCGEUK91t4/drbfe2iliGMaBAweOHz/+\n2GOPJTsrhBBCCCHUY90t7Orq6s4NZmdnL1y48Kc//WlSU0IIIYQQQr3R3cJuSK0GixBCCCE0\nEOHKEwghhBBCg0RXLXZdrDbRyd69e5ORDEIIIYQQ6r2uCruLDnc9cOCA3+9Paj6pEdLj68M1\ntfE2iXIT5YIKKQ8Agnp8XejwSaVdItwUa9FoMQcA/Hp0XehIneKTCT/VWnSFmH2hY9ZH2v9W\nV1sfNewc3JCVPimtEADadP2jYOi0qjlY5ipZHi7wAKDHmqOn1xmxZso7xazprKUIAE6rgQ3h\nmmY15GKka6wjCnhX/9yKhObmtSdPvxnX/BYhf2TxA7I8vD/PjhBCCKHe6aqw27p164Xeampq\nevzxxz/99FO32/3kk0/2QWL96t3Avg8DBzycI2ZoH/j3/zpvbomQ8bZ/z0eBw3m8I2aqHwQP\n/H95Xyvi3W/59m4K1eRwjqihvB/c99u8289bcsU19cVjx3YGrelcvDbOHA/scvNSoTXjb77A\njkg0k2VqFKVN0+9xOTKoET7xN7V9NxUztECNEW+zDrtX4e1/8+2ujjams5bDseY2PfIt9yQn\nI/XP3QgEqg+det4fr+eI3BI5EFNbJo55gWHE/jk7QgghhHqtx33sDMN47rnnysrKXn311UWL\nFh06dOj+++/vi8z6TcRQXmv/vIRPdzBSFmfL5uyHYs0BPbbCt3uklOlgpCzWnslYDsWa27Xo\n2/49JUKGgxGzOXs6Yz0cbznvMU9G2tb5MoqlqJ3Vs3ml0bxit6/1tKqtDoVG8JyDYTwctzcW\nq4krWqQ+3rSesQ6nnJ2xeBTvF2ro6Kl4++bQ0WG8286IBbxrZ+TksXhrv92QtvaPW6NHbHyW\nyNlcQlFt4ONgcF+/nR0hhBBCvdbdUbEJO3bsePDBB3fs2DF27Njnn39+2rRpfZRWfyJArrQU\nK4aeeGmCSQAIEAAwTRNIYiNCgBAAMDvte8FjmomNO7YwTUISEXImYBJCwCTwzxiYYIIJhHzl\nPKb5ZT79gwAxz5zeAJMQoDjIBiGEEBoIuvsH2+fzPfTQQ5MnTz506NBvfvObnTt3Do6qDgAk\nyhXy7kPxZq8eblQDTVpolJRtY4Q7XeMOx1vatUiD6m/WgmVippORvu6qOBRvbtci9aq/RQuW\nCpnnPWaBxX2Dq/VoTParbENcKJPC492Z2Sw7x2Y9HFfaNf2kqlbIcgnPM3KumDNTDR7R4+1a\n+ISYNp61jcjnXddaR9Qobe1atFbxTpDzhwvp/XZD0tzTM+SSoNIYVf2+2Ilix3SLdVS/nR0h\nhBBCvcY88cQTF93or3/969y5czds2HDnnXe+++67N9xwA6WpbMKJRCKXsjshRJIkXdfj8Xgi\nMkxIszMiAZLPO+9xTxgpZALAMCHdQnkgUMi773FNGCFmEEKG8WkWKhBCCnn3t9MmFwtp5z0F\nQ5lSm2xoLYapDZf12/MyRjlyKCHDBJ4nhBJSIgqzrdYcjiWE4azFhHJAGN5RKubMYaUsltBi\nIY0hhCW0TMy60XFFBpv8ddt4njcMQ9f1TnFBSLeKeYbqYwif65xcOuwxoR/Lyn4mSRIhJBqN\npjqRVGJZllKqqmqqE0klQRBYlo1Go6ZpXnzrQYoQIghCxwfj0MRxHM/z8Xj83M/GIUWSpOR+\nMMqynMSjoS6Qrj/F9u3b973vfW/Tpk0jR478wx/+MHPmzH7LrAutrZfU4YxS6na7FUUJBALJ\nSmkgslgsmqYN8Q9xl8tFCPF6valOJJUSNU04HE51Iqlks9kEQfB6vYZhpDqXlKGU2my2wTHX\nQa9JkmSxWAKBgKIoqc4lldxud3I/GNPTB20DweWmq4a3H//4x+PGjdu+ffsvfvGLvXv3XiZV\nHUIIIYQQOq+uCrunn35aVdVoNPrTn/5UEARyYf2WLkIIIYRQwo033njbbbfV1dXNnj3barXm\n5OTcf//9Q/xxXFejYr/73e/2Wx4IIYQQQj3V3Ny8cOHCH/zgB3/84x9Xrlz50EMP6br+8ssv\npzqvlOmqsPvTn/7Ub3kghBBCCPXUJ598smbNmkRvsQcffPCdd95Zu3ZtqpNKJZyfDCGEEEID\nldvtPnsMQF5e3iVOnTHQYWGHEEIIoYGqoKDg7JfY7x8LO4QQQggNVCzbszW0Bj0s7BBCCCGE\nBgks7BBCCCGEBgks7BBCCCGEBgks7BBCCCE0SDAM43K5Up1FKmGXQ4QQQggNSCtXruwUeeGF\nF1KSyeUDW+wQQgghhAYJLOwQQgghhAYJfBTbYzX1gYaAInN0TIFD4BkAMA2z7qQZatM5kRSU\nsDwPAGAY5nbvqePhsIvjpmcXSpRLcd4XYOiK6ttragFGzOYcZQAEABTT3BONBQ0zm6VlotjF\nbI8xg+wNsSGNeES9RNb7LW2EEEIInQsLu57ZuL/1D6dkNzWiBjOtqfUb490Widu/Q7NsDhCJ\nIaqx76g06gZJFGFZbfVfGmx2hkQM8om3+sdl5TLLpzr9zgxdCR//a6xxLeWsetxnG36P5Jmr\nmOZfvL71obCFUp+u3+ty3uKwnXf3iE7+0iBuaedkxvSq9MH86Mw0pZ8vASGEEEIdsLDrgZii\n7WwzRvNhC2OCAVvD8thTgbG5bvumgDdLMAQSNcF2LHqqhrcND79c7yyX20TGNM3YloB9WvPJ\n2bkjUn0Fnan+A7HGNZxrHCGEtSjBo38WMqbu1a3rQ+EKSSQAcdN8yds+zSK7Webc3XcH2U/a\nuQqrBgQiurEryE51qhbG7P8LQQghhBBgH7seCUbUjyM2CzUBAChYieaPGZGoaRDTEAgAAAFV\nYJSQ3q5EGaqLjAkAhJgyVb3q5diUpSt+wli+XFmP8kB5XfEHDcNCaeLxq0AIR0jAMM67e0Aj\nVtYEAgAgU3OrjwtoQ32RPoQQQiiFsLDrAYeFv84SaFIZAFB0aDP4HCvrdDHeIpkNaQBANBCj\nmuxmPJJjgqXdq7IAEDdoQBeLZGuKsz8fTs41VL+pRwHAUNrFtEmMmJXNsj5djxkmAHh1fapF\nzjxfcx0AZAuGVyWKSQCgWaXTXWoad/4SECGEEEL9AB/F9gDPMbOLpQ+PxT6OWFSg92YFxxRl\nUGqmjRPbdhHXiShjmL7JtvIRlFLxtjzX243tOwIuDei3c/yT00anOv3z4OwjbCPvDxx6jlJO\nyJgqZF1HOVspa37b7XyxrZ0jZKpFnmm1yPT8XwDGWLUFOfG/1IssgStd6pz0OI/fFBBCCPWX\naDSq68kctydJEsOcvy1joMDCrmdK8uyeNPlrwZhFIGn2zESwYBjNyBF9XkGykHznl88ir84o\nGuvMOhn2pQlyrlSQupQvQsq5gXdPMLUAI2QQ1gIAhJCb7LYpFjmgGxksY7lAVQcAlMC8zPhV\nLjWkkSzBkCj2rkMIIdR/TNM0TfzT8xVY2PWYJLIFYufnqpJEpLzO3cscnDTGKfVXXr3HCG4Q\n3J2CboZxd+9bSzpnpF+mc7kghBBCQws+OUMIIYQQGiSwsEMIIYQQGiSwsEMIIYQQGiSwjx1C\nCCGEBiHTNE+dOlVbWxsKhTiOS09PLykpsVovx9nHkggLO4QQQggNNidPnly1atW7777rcDhE\nUdR1PRgMTpgwoaqq6tprr2XZQVv/DNoLQwghhNDQVF1d/cEHHxw7dmzSpElnz0vn8/n++Mc/\n1tfX33XXXYIgpDDDvoN97BBCCCE0eDQ0NHzwwQdNTU2FhYWdZhu22+0VFRUffPDB+++/382j\nNTU1ffOb38zNzXW5XHPmzNmzZ08irmna4sWLi4qK8vLyHnjggXg8ntx4r2FhhxBCCKHBY926\ndYcPH05PTz/vuwzDjBo16s9//vOJEye6c7SFCxfu2bNn+fLlq1atstvt119/fWNjIwAsXrz4\n9ddff/bZZ19++eXVq1ffd999ie2TFe81MhCnbG5tbb2U3SmlbrdbUZRAIJCslAYii8Wiadql\nfzkY0FwuFyHE6/WmOpFUEgSBZdlwOJzqRFLJZrMJguD1eg1j6K53TCm12Wx+vz/ViaSSJEkW\niyUQCCiKkupcUsntdif3g/FCZdYlikQinZYUa29v/8Y3vjFp0iSe57vY8ciRI7fddtutt97a\nKS7L8tmNfPX19R6P5+OPP542bRoAqKqanZ395JNPLliwIDc3d+nSpfPnzweAlStXzps3r66u\nThTFpMQzMjJ6fU+wjx1CCCGEBom6ujpZlruu6gDA5XLV1dVd9Gi6rj/xxBNVVVWJl6qqxmIx\nwzCqq6tDodCsWbMS8RkzZqiqumvXLpvNlpT4DTfc0ItrT8DCDiGEEEKDRCQSuWhVBwA8z3fn\nMUVBQcHPfvazjiPfe++9brf7zjvv3LBhA8/zTqez42gul6uhocFutycl3tOrPhv2sUMIIYTQ\nICGKoqZpF91M0zRJ6u5i7qZpvvLKK2VlZc3NzTt37nS73aZpEtJ5gXhN05IV72Zi54Utdggh\nhBAaJLKyssLhsKZpXc9U5/f7s7KyunPAlpaW+fPnHz9+/KmnnrrrrrsopQCQk5MTj8eDwaDN\nZgMATdN8Pp/H47Hb7UmJX8odwBa7L6lqvKW1LhBoOzsYikc+Pn7waGv92UHdNFt1PfLVHtaq\nrpwOn4ioXxmNYeqgR6ihdS7Gk47oOgmH4asdSBFCCKGhJjs7e+7cuYmBqxeiaVpTU1N5eflF\nj2aa5k033eRwOPbs2XP33XcnqjoAKC8vl2V5/fr1iZdbtmxhGKaysjJZ8d5dewK22AEAnGo4\n+tbB2lVaEUD8u9bdcydPZxj2g+rPT35hubreuSkz8k7G9u/fPJ4lzAlFfT8YXB0MXylLFZI4\ny2ohhBzxffFOw6qPYo1TubQJjtLZnjsopUo7EznKR07wkkcVclS5QO2j5JnGevbEMab2mFY0\nTC8armfn9tGJEEIIocvf9ddf/+677zqdzkQz2LmOHDly++23l5U+pn7QAAAgAElEQVSVXfRQ\n69at27lz56OPPrpjx46OYGlpqcfjWbRo0eOPP+7xeCiljzzyyIIFC7KzswEgWfFewxY70HX9\n7UPH9yqOyXBqHDT8NZC7fd+OmBI/uctS5LVuTw8LGr1mv2fZ5s8003zHHzgYU6ZKYtg0/uRt\n3xdX4lr07YYPjyhtUzh32FReaP2kum2bqZNwDa/4GDFP1RXi2yErXubiqfQcCYf5jWvNUEjz\nFJBQSNiwlkQifXEihBBCaEAYMWLE448/Xl1d3dLS0uktRVH27ds3adKk22677dzObefavXu3\naZoLFy6ceZZ//OMfALBkyZIbb7xx3rx5N99889SpU1988cXELsmK9xrOYwdeb/M924OTSB1D\nDAA4ZVhnWQMF+QWW/7PtyIgYYAJAblg6UNR4940V/1rXOEWWEr8LxxVlrt022mz83tHnJrJu\nQgEAjmqB+a4JN7jubllrE3O/bKVT2xnbFXG5MPmzItHTDfzWTUbml9U909SoXHmtnpXTnX1x\nHjvAeewAAOexAwCcxw4AcB47AMB57M4YuPPYdfjiiy/WrVu3detWt9vdsVas1+tduHDhLbfc\nYrVaz7tXp3nsBiJ8FAsWq/VKZl9QZy3EAIAYcDLH5tkdqzNDokpjrA4Akg6U0yyUGqYZNwyR\nUgCIGqaFUivr0AEU0AVgACBmGFbWwvBgmmAaQCiYJhgaoXzfFNA8TzTNNA2SOJOuGxzXJydC\nCCGEBo7KysrS0tJrrrmmtrY2FApxHJeRkVFWVpafn5/q1PoWFnYg8PI4O/mjLzNDD8YIO5rx\nTiwemeHM9KfXVhwsaBV00aCHXaEry90WSu9zu/7a7k9nmYhpjJPECkl0MJZvOcf+X/ueNIaL\nmPoEMbMybRoRDPvoWPCAwEimqRIpV+XTL2n08oXoDpc2opQ9XmOKIonFtJIyw+nq88EaCCGE\n0GVPkqSqqqqO6YWHCCzsAADmTLg69/AXx7xBiaUTh5elpeUCwAOzK/7X/XnAyxNWmz42fVze\ncAC4yWHz8FydqlooHSeKDoYBgNsL7ymUNtZF662sZXLmNQ4xDQCsJXHOoeshhvCGmK1Rrk9a\n7AjDaGPHGemZNBoxZFnPziN0YLchI4QQQqjXsLADACCUqSirqvhqUOSFRVdO7bQlBaiUxEpJ\nPDvIMtzknJmTOx8TxGwNoE8a6s5mMqyeX4gznSCEEEIIR8UihBBCCA0SWNghhBBCCA0SWNgh\nhBBCCA0S2McOIYQQQgOSLMupTuGyg4UdQgghhAYk0zSTu85Cx2qwAxcWdgghhBAakKLR6IVW\nnuidQbDyxICvTBFCCCGEUAIWdgghhBBCgwQWdgghhBBCgwT2sUMIIYTQIKRp2okTJxobGyOR\nCMdxdrt92LBhLpcr1Xn1LSzsEEIIITSoKIqybdu2zz77bNOmTXa7neM4wzCi0WgoFLrrrruu\nu+46j8eT6hz7ChZ2CCGEEBo82tvb33zzzTVr1hQWFk6ePJkQ0vGWoiibNm16/fXXf/KTn0yb\nNu3stwYN7GOHEEIIoUEiGAy++uqrW7duraysTEtL61S68Tw/bNiw0aNHP/3005s3b05Vkn0K\nCzuEEEIIDQamab711lvbt28fOXJkF1MNOxyOK6644umnnz5+/Hh/ptc/sLADAAhHQ++tWvW3\nN9eseGv1zt2fJYLN0bZv7/hw+qefzN628ZXDX9b1WjjQ8vaGtqUbW5dv8O+r/nL3GN26W16z\nybZhm7Wu9czTbVVhjx3h9nzOHdxHgoFEzFBJ+DgfqBZDRwQ90uOb71XpO83C0nrxH81Cq/rl\n7nqMhGv4wF4xVMPrsS+/mnj1yHv+fa94t68MHPDr0V7eF4QQQmjgOHjw4IoVK0pKSi66pd1u\n93g8H330UfcXrti8eTPDMG1tbYmXmqYtXry4qKgoLy/vgQceiMfjyY33GvaxAwD48MMtw07k\nt4kRzmClo+IeZsfY0RPu+aJ6j34NT/068D/ztliPbr19+FTf33aln8iN83Fq0Kg3GBSOWIeX\nbN1pidVyumgSnez2M/ykcKZD5Q5UM0ePgMUCSpz62uMV401BDh4Qoid5KhtGnKg+6hgbo0J3\nf6ViBnmtUfg8yLpY06+RUzH67byYbEJwvxhrZKlkGlGiBRnH2FiUxP/Pu3NXtN5JxTY9fEpp\n/5Z7Ek/xZ40QQmgw++KLL3Jycli2W3/vPB7PP/7xjzlz5nRnIIXf77/nnnsMw+iILF68eMWK\nFc8//zzHcd/73vfuu+++V155JYnxXsMWOwgGvaxfrrf7QlKs3RLySvGjx1sPeE98oV9tp/UW\n8NmhWTGy32wLRpvqs44VhGx+RYrELCGL3xmrrm/zs1oNr7t0ajGIXTfamNo6jkTC3P5qIyPT\nsFgNVxo93cC0NuthGjoi8G6NlQ3epcdOc4q3B8XW8Qjd1M6NlPQM3hgh61t93NEIo/po5CTH\nu3VWNni3Hj3BqT56TGn7OHx8JJ+eydnKhOy1wUOnVF/f3UCEEEIo5RRFOXnyZHp6eje3ZxjG\n6XTW1NR0Z+MHH3wwMzOz42UwGFy6dOmSJUtuvfXWOXPm/OEPf3j99ddbWlqSFe/N9Z+BhR1E\n4+HS1kyDftlyphPDNElACwMAMb+szYmhK0DNuApgmme2NIlBDNAMgLPuo0nAMAjounlWf02T\nEtANMAmh0BEn1DR7ssCdahKWAJzZnSGgGGAahNAzQQJAwTSIYmgMUCAEAAgBhjCKofXspiCE\nEEIDSjAY3LRpkyRJ3d9FlmWf7+INH6+++uqOHTueeeaZjkh1dXUoFJo1a1bi5YwZM1RV3bVr\nV7Li3b+Ec2FhBxlpnmpPXUbQxmmspPBpUTEtQ6x0lhQzO4KQpZlCDGwa2KfJIOTmteQ2yEEb\no7NcnBcUgSmwp9s1M181Q4ypESNK+TjJytBMi1UbNoL62kFVSSRMo1HD5WYshlSgaAHGUIkW\npnqMcs4eVHYFol7l0BrjVDFIU5xW2rRi2WDtupijaSFqqEQLUilH4+x6kZA2Ts47rQaihlqn\n+CbLBfn8IJ+PESGE0BAXi8UopV2MmTgXy7IX7dN2/PjxRx55ZPny5VartSPY2NjI87zT6Uy8\n5Hne5XI1NDQkK979SzgXFnZACJl89bD6nCaVVSNi9GRF3fQp0wWee6ZAGsHs40jMBm13ymsW\nj57JsJw4J8+X16Kzetwaa57e6JownmVhXGVEzFEpa3JWPWdauDhHAYbRykbr+YXAcYbDGb92\nlulwEsa0joyLOSrlTN6pZ0wPs1bj4vmd4eTMWzLiIy369gA7TNZvTI+ncQYjmpYRcT5Np5wp\nZOiWkjgVTDcj32wvHylmSpQbK+fOc461MkLf3UCEEEIo5WRZ1nVd13vQYqKqqizLXWyg6/o9\n99zz6KOPTpw48ey4aZrnzoGnaVqy4t2/hHNhh3oAgPy8Yfl3DItGwzzLMxyXCF6dN2ZjHrRF\n/C7JTsnYRFAuLJa/XaxGo9xZjb3Zbi376qCiEp41Ox6Vmja7WlFl6jphmI4tOZvhGBszdSD/\njPVAiayXyNFv58VE+s8hF7xL513RTscsFTNLxUzV0DnaqzMhhBBCA4rdbp8xY0Zzc3NHA9hF\nBYPBrvvk/c///E9ra+u8efMOHTpUW1sLAEeOHFFVNScnJx6PB4NBm80GAJqm+Xw+j8djt9uT\nEr+U+4Atdv8kSZaOqq5Dmuyg51TT3Pke4fPcP6u6DmdXdWcFe58kAJxd1XV9TKzqEEIIDREM\nwwwfPrz7Iw9isVggEBg5cmQX2xw5cuTQoUOjR48uKyu74447AGDq1Kk/+clPysvLZVlev359\nYrMtW7YwDFNZWZmseC8uvwO22CGEEEJoMJg0adJLL73k8Xi6M4TixIkT3/rWt9LS0rrY5vnn\nn3/++ecT/965c+eECRNaW1sTuyxatOjxxx/3eDyU0kceeWTBggXZ2dlJjPcattghhBBCaDDI\nzc198MEHDxw4cNGedk1NTaNHj77uuut6fa4lS5bceOON8+bNu/nmm6dOnfriiy8mN95rpPtz\nLl8+WltbL2V3Sqnb7VYUJRAIJCulgchisWiadumTXA9oLpeLEOL1elOdSCoJgsCybDgcTnUi\nqWSz2QRB8Hq9Z09AOtRQSm02m9/vT3UiqSRJksViCQQCiqKkOpdUcrvdyf1g7P70cj0SiUQ6\n1XCapv3v//7ve++9N2rUKFEUz7tXXV1dYWHh1772tdLS0k5vybLMnK8P1QCCj2IRQgghNEiw\nLLtgwQK73f7yyy/n5uZmZmZ2jHvVdb29vb2urm7q1Knz5s0rKipKaaZ9BQs7hBBCCA0eHMfN\nmzevoqJi69atJ0+e3Lp1K8/zuq4rijJ79uxbbrllypQpPZrHeGDBwg4hhBBCg01xcXFxcXE0\nGl2wYEEwGBQEwW63Z2Zmnjtv3CCDhR1CCCGEBidJkgoLC1OdRb/CUbEIIYQQQoMEFnYIIYQQ\nQoMEPopFCCGE0IBEKbZPdYaFHUIIIYQGpAvNVDeUYWGHEEIIoQFJ1/XkrrPAMMxAHzabmsJO\n07R77733hRdesNlsiYiu63/5y18++eQTTdMmTZp03333cRyXktwQQgghNCDE4/GLrh7WI7jy\nRI8pinLw4MEPP/wwGAyeHV+6dOknn3zy4IMPsiz7/PPP//73v3/00Uf7M7GPq6vrj2ssp19z\n5fA0mzMRPLS7vq1WYyRz9LQsi/XLyQyPRU/XhE/bWXm8fRhPv7yBIe/hcOAoJzidWRPpmeDh\nujXH/dUuPrOy+A6eFRLBxlOtrd6ARRaKh+eQLjsH0HaNBnXTwuhuBs58gTilqi2ansYwhfw/\nC98Titqm6xksm89dFk2wumnUxFsjhpLPu9JZS6rTQQghhIaK/q4D3nvvvffee09V1bOD0Wh0\nzZo1P/zhDydNmgQADzzwwC9/+ctFixY5HI7+yeqNd3dNODBydCzOGuZnx6KF80LDcj1b3qqd\n9IU1ixE5Ew4cCRbfoaRlOd5t/vzXzadloikmnWE5trjgOpkRGmr+/lntMwKRVVMZXj+ztPLH\nLCv+bffPl6gnJNOIR+mNOzY+Nv7/ibx9+yeH2w5laFRmTa722KGrry/hLlCK8Qei0ia/KTBE\nMWITrfFKCxD4IBB8yeuzUBoxjHvdzlttVgB4Lxha5vXJlIYNY5HLeYvD1j837UIUU3/Vu/3D\nwEGBMiFd+Wn27PGyJ7UpIYQQGrJUVQ2HwxzHybI80B+zdkd/F3a333777bffXlNT89hjj3UE\nT5w4EYvFKisrEy8rKip0XT927Ni4ceMSkU2bNrW2tib+7XQ6E/VfryV+rpTSRKfL9qC/4LhH\nh/gRu04AxrXya7Y05c3VHLWWOguNcgaAWdLG7t3kn3y3Y0OosZRTbSxjgrEpokwMHLrJOfyz\n089mcqUCZzUNs9a/IadxCk0b8Rv11EhNtQLooK1mYcrxV6bkfbf9UKZma6GMqRlgNmbUHmse\nUzHsPBn6NXFzUC+SgaOmbso7I8ww20kXLG33T7BaREoV03zVH5jocFACr/gCE6wWgdK4Yf7F\nH5jktBcIQnfuA8uyhJCk/5bvDB7bEDk6yV5IgXq1yObY8QnOoo6mzctN4g4M8e63LMsyDDPE\nb0Li4YsgCMntrzOwEEI6PhiHrEQvIJ7nh/hwy0HwwVhXV7d3796amppQKLR58+arr76aEJKf\nnz9y5MixY8cK3ftDORBdFn9u29vbWZa1WL58ZseyrNVq9Xq9HRssX758586diX+PHDny+uuv\nv/STJs4CAJ8fOTS+zVLtNADABAhxRAhLLXXhUh857NAJEAAS4QgNcz6Ibo+SiTIPBADAwWht\nZhy0dhpXZasDAIABUbVrWps/BAwxbIQAAAvEaqjNSnMopOhEYzgAIAwFg1WiES2RQ2e+KMg8\nYznzn8pqyDof5YldEOyiCAA8gEPTwhzHEOLgeduZoF3TIrxw/mOeT190ZAxH9XTBJvIiAGRx\n/Cb/4YfFGW6+uymlRPfv2CCGvVoBoONTaCjD/w6AYy0BYCD/JgQCgdWrVy9btiwjIyMtLU2W\n5SuvvFJRFEVRPv7447fffvuqq6669tprKyoqUp1pn7gsCjvTNM9tNzq7O+TChQtnz56d+LfT\n6QyFQpdyOkKIxWLRNC0WiwHA8Nzcz9Pa02Osj9cJgFWFuBzJ8OQfcrZbVDbK6QBEVk3DqjpN\naaJkehXVwTKGafoNkkYEYF26yEfjPp61maYRM/wsm5ZtH6kDCYJpNUEHCDFsBp9psfCMacQV\nwrCGaRKq8ZIM570WQjQxoughCjwFzWRCapxRpDgE4vEAy4iUxg3DrygWVaUAfkUJxlmBkJhh\nBBRFVuLdvD2CIOi6rmnapdzMc1k1pjUezGXsFIhXC19tGc7FjJByST+yvpNomQ+Hw6lOJJUS\nLXbxeDzViaSSKIosy4bD4SHeYieKYjQaTXUiqcTzPM/zsVgs6Z+NA4vFYknuB2O/lYl1dXV/\n//vft2/fXlVVdXaBnvjJWq3W/Pz848ePf/TRRw888MDs2bMH+lCJc10WhZ3b7VZVNRqNSpIE\nALquh0Kh9PT0jg2mT59+9vYdj2V7h1JqsVgMw0gUdgLDnRhWl7m/tMQf58D8NDM2+Wq3ILKB\n4nDpF9YoJawBBzLU8utcnAYzbLm/amqUNU0xyQwLN91eahBhcvb3Pzv2NKfIOsRHOGfbc65h\nWfExtnCJeUICXQF6o85eVfwtgRddo055D6TpjMLonOBpGTZ8ZCKHzgTQr7ZJmwKmQEjcjEy2\nxu1GugnfcTn/1Oa1MDRsmN92u7INnRByr9O+1OuzUBI2zO+4nZmmef5jnoNhGE3Tkv7nfDSb\ndZ084oPAfpGwIUO5PXuMoWgxuEw/IhO/ct28Y4NV4vnjEL8JHMexLBuPxw3DSHUuKUMpTdQ0\nqU4klQghPM8nWndSnUsqybKc3N+E/insWltb33jjjcOHD19xxRVdbJaVlWW321966SVK6Zw5\nc/ohsf50WRR2BQUFgiDs3bs30Xlu//79lNLi4uJ+S+Bfbhn/acH+HSfijKDPnFLqsNsA4Mp5\nRYeHN7QcU1gZxk7LlSw8ANyUMa7cmncofNrBSuPsxYmuY7nDb5vlHhP217CCy5lVlRgVe0fF\nf1bWrTvq2+0Ss6qG3cFQHgAmTilp9LS0tUasNrGgeGQXfTiUUZKWw305KtbFJB7+3mi3jpGE\nZlXL4LiOAbC32G0Vktiiahksk8/zfX6zLoYnzDfdE6+0FEcMNV9wpjH4bAshhFCf0zRtxYoV\n+/btGzFixEU3liSpvLz8ueeey8vLGzNmTD+k128ui8JOluWZM2f++c9/TktLI4S89NJL11xz\njcvl6s8cpoy9YsrYzsGRY3JHnvPjLpQyC6XMTkGLa4TF1fk3aYTn+hGezt0BczwZOZ6M7qRk\nOFnD2fkH5OE4zzl9ofI5Lv9y6iDFEDpS7HyLEEIIob6za9euVatWVVVVdXN7WZaLioo2btxY\nVlY2mDoZXy6jfr773e+OHz/+l7/85X/913+VlZU99NBDqc4IIYQQQgODaZrbtm0rKCjo0XDm\n7Ozs9evX79+/v+vNli1bNnHiRLvdPnPmzEOHDiWCmqYtXry4qKgoLy/vgQce6OjXlKx4r5GB\n2FP40vvYud1uRVECgUCyUhqIEiNIhniXeZfLRQg5ewj2ECQIQmLcQKoTSSWbzSYIgtfrHeJ9\n7Gw2m9/vT3UiqSRJksViCQQCQ7yPndvtTu4H49n95pMoEokkhlo2NDTcf//9U6ZM6elgiNra\n2pkzZ86fPz/x8tyVJ5YtW/b973//d7/7XWFh4a9+9auTJ08eOHCAYZgf/vCHK1aseP755zmO\n+973vnfVVVe98sorAJCseK9hYTd0YWEHWNgBABZ2AICFHQBgYQcAWNidMeAKu+3bt//mN78Z\nO/acPlUX4/P5srOzOxa76lTYmaZZVlb2/e9//+GHHwaAU6dOPfbYY88880xaWlpubu7SpUsT\nFeHKlSvnzZtXV1cnimJS4hkZ3eqydV6XRR87hBBCCKFeC4VCvZtzWBCEWCymqup5u9kdPHjw\n8OHDt99+u2EYra2t+fn5b775JgBs3bo1FArNmjUrsdmMGTNUVd21a5fNZktK/IYbbujFtSRc\nLn3sEEIIIYR6R9O03i0WktjrQtMW1tXVsSy7fPlyp9OZlZWVl5e3YsUKAGhsbOR53un8cmV5\nnuddLldDQ0Oy4r24kH9e0aXsjBBCCCGUclartXdPzxVFYVk2MafpuVpbWzVN++STT/bu3ev3\n+x9++OG77777wIED511YQdO0ZMV7cSEdsLBDCCGE0MCWlpbWu1WpQqGQ2+2+0LuJvm7PPfdc\nYWGh3W7/yU9+kpOTs2rVqpycnHg8HgwGE5tpmubz+TweT7LivbiQDljYIYQQQmhgKyoqmjZt\nWi/GRLa1tZWUlFzo3bKyMkqpz+dLvNQ0LRqNOp3O8vJyWZbXr1+fiG/ZsoVhmMrKymTFe3oV\nZ8PBEwghhBAa2HieHzVq1BtvvNH1YmKdBIPBsWPHjh49+kIbeDyeO+644xvf+MbTTz/tcDiW\nLFnCsuzcuXMdDseiRYsef/xxj8dDKX3kkUcWLFiQnZ0NAMmK9xq22CGEEEJowJs+ffqYMWPa\n2tq6ub1hGEePHq2srOziUSycmZ3429/+9uzZs0Oh0IYNGxLbL1my5MYbb5w3b97NN988derU\nF198MbF9suK9hvPYDV04jx3gPHYAgPPYAQDOYwcAOI8dAOA8dmcMuHnsEnbt2vWzn/1szJgx\nVqu16x1N0zxy5MjUqVPvvffes+dJOXeC4gEHW+wQQgghNBiMGzfu0Ucf3bNnT9cNQKqq7t+/\nf8KECXfccUfvZr+7nGEfO4QQQggNEtddd53b7V69evUXX3zh8XgcDsfZ84nE4/GWlpa6urr5\n8+ffdtttFoslhan2ESzs/ulYU2Oaxeb4avttY3Ojy+YUvzrDTXNbs022dZr2pq3ptM3u4L8a\nbAoGMmw2Cl+ZpcYb8TllO/1qc2k4HJYkmdKvbGmoKj1nLmzTUAntHFSjcU766tcO0yQamFzn\nCXLOSzVN7pypdBBCCKEBp6KiYtiwYVu2bNm/f/+mTZskSeJ53jCMWCwWjUa//vWvP/zww2Vl\nZedOIDc4YGEHALB5T3XoU5c7amkm0WNZp+64o4Rn2I93Vcc/dY5roXvsgbqcmnl3lFOGbtm5\nN7bd5YwJOgme8hy54+tjAWDXjn2xbfa8kOuk6PN6jsz4+lgAWLv7oLnN4YpwR9iW+hEt/zKn\nHADWH9mzY78lGiuU+Prc/MaFEyYBwN59e/YcZJriIzKZw0UFvqumTgaAaENjcN9pPQaEB2tp\nmrWoAAC00LFo4xpD8VPOLmZfz9lHAkDLgQMtB5uo9wrTvT+rPMc9shQA2EaFOxjlD0aVclkZ\nJekZ51kpJaE6Ft8QCkcMI41lbrBa8nm+P+44Qggh1GdsNtuNN954ww03fP3rX29rawuHwxzH\n2Wy2/Px8h8OR6uz6FvPEE0+kOocei0Qil7I7IUSSJF3XE+MG4pp67G0Y3yoojG7R6OQGy1vR\nmhH5jrp3SVm73CAzFp2parR9GD2Ym2VrXMmO8spRxrSqzMR620rlQE66reV9WhiQfLxiUdny\nOvunZo0l0+J9hxnVzimUuGPMpOOW1bZap4358FPqDOVTJiAqdkd9Wattlx2YzZ+qbMQjM+1U\ncxwMeDKEGqds8X56Iu7lCWPoYU73h/gMkbBq5MRrSuAIobwWrjPizay9NNoerN9+XAsLpnRa\njfGRdp8tyy7ogvVNLzBgpHO0XWcCupbLA9v5qwnP83Wx2KOn6ikBCnBUUVs1vVKW2EH6Jea8\nJEkihESj0VQnkkosy1JKVVVNdSKplBhBEo1GB+J4smQhhAiCMMQHVHEcx/N8PB4/u0v+ECRJ\nUnI/GGVZTuLROqiq2sX/WUqp0+nMzc0tLCzMz8/PzMwURbHrA3Ic17ulyS4fAzv7pNh97Pj0\n01y9bMYYCHJGO0/4Fsf+o8cmN/H1Fk1ljBCnezlCmhx7jtZObuLqZV1lzCCvt3NUa7LVHDox\nppVrkjSNmiFO9/Mk1sDvPHxqUjNTLxtxxmwXjQBPg7XMroYT+b6SgNimM2qMD4aY2IGGSE3t\nCWuoVONbTaIYrL8wxh6va483t8WbHJxNoazJymq81RpvbtMjddGWz1g5jzAiK+cobZ/r4ZPB\n+gYtkM6IcUJNVoir/nR/XR3j1UyJGFbGZInhYNgTcab9/J9Qx+OKk2UyWVaitIDjNkUiDUP7\nrztCCCE0oOGjWLCLfL1speaXS5EwpmkwhiQJBExqUp0YAMAA6Kwu8RwAEBNMAgDAmqZBdV5g\nCSGMSXRiAgBjgEkNQeIIAcYkOgEAYHTTZEyRZYlBiEFMagIAAwzHgsBxFAgAATABgALDsoRw\njGnqpkEINQ0DiEkJQ4FwAHpiXTnTBNNUCcNTVgeTGiZQAoYJYDIsx5gMAf3MNxgTwIDEGc/F\nU6oZX75lAOgmcDCEmusQQggNaBzHsWwyK5mB3lwHWNgBQGl+4dsZJ2bU2dp4IhjEpRhCYaCs\nqGJ1/skpjbY2nuUNcCuqc3ikomzMmvyGKQ1Wr2CKOg3zfOZItWRkyfacptHNdh9nigacssVz\nroDi4vx1nrapjVI7RyTdPOTURozlR3kKns/ck9VWFuLDgiY0WU/MHZGVb8usPrRbCpYpTIg1\npKhcc1VpoeDOkAuqo/UWRowbCs9nB+S8MiIwcvaMWOunDO82lHYhczprHeYs1lsPb1MDTp2J\nmZokuJscRZN1hlWLRbZBMUVKwrpaKhlp5+9jVyoKE2RpXyxuo7RF1+fabTkc/koghBAaGLhz\nxhci7GMHhBB7obrW3xImzCl7/HBl47xrxxNK5Fxls785Bq7tO4IAACAASURBVKTRFjk5vmnG\n1eMppXx2ZIu/LUroKXvEX1V//ZRKluPY7Ohuf1uUkGZ7mBvvr5wwmmdZrkDZ5G8LsqTWHWUm\nh64cVcKzXG6Gsid6MEJiqqvhytFaRV4Jx3E5GXp98IACEdbeMKlC9OQXEYbhM22EtlFOF7NN\n1/gixmolhGFtIyhnJ5ydd4+XPTdRzsbwvCXDosUaCatZMrS8SVeIDiewxMjggaemSLVCUSmX\nTeE8X0F4nucAChlqYRgnS6+0yHPsVmHgf1npEexjB9jHDgCwjx0AYB87AMA+dmcMoD52mqbp\nyUMpHeijZXHliaELV54AXHkCAHDlCQDAlScAAFeeAABceeKMAbryxKUbBCtP4HM3hBBCCA1C\nqqrW1dUFAoFQKMTzvNVqzcrK6npl2EEACzuEEEIIDSqNjY1bt249duzY5s2bRVHkeV7XdUVR\notHo1772tYqKiqqqquSOurh8DM6rQgghhNAQFI/HV61a9eKLL2ZmZmZmZk6ePPnsPnOKouzb\nt2/VqlXXX3/97NmzR4wYkcJU+wgWdgghhBAaDPx+/xtvvLF27drx48d3WvYzgef57OzsrKys\nAwcOrFy58j/+4z+mTJnS/3n2qaE1BBIhhBBCg1I0Gn3ttde2bNkyduzY81Z1HQgheXl55eXl\nv/rVrz7//PN+y7B/YGGHEEIIoQHvnXfe2bBhQ2lpaTcnGXY6naWlpWvXrq2rq+vr3PoTFnYI\nIYQQGthqamqWL19eVlbWo1no3G53TU3N2rVrB+LUbxeChR1CCCGEBraNGzfm5eXxPN/THfPz\n8996660jR45caIOmpqZvfvOb2dnZ6enp//Iv/3Lq1KlEXNO0xYsXFxUV5eXlPfDAAx2TwiYr\n3mtY2CGEEEJoAPN6vX//+9+zs7N7sS/LshkZGQcOHLjQBnfeeWdNTc0LL7ywbNmy5ubmW2+9\nNRFfvHjx66+//uyzz7788surV6++7777khvvNVx5YujClScAV54AAFx5AgBw5QkAwJUnAABX\nnjhjYK08sW3btiVLllRUVPTuIO3t7dnZ2Y888giltNPKE7FYTJblVatWzZo1CwA++eSTK6+8\n8vTp07Is5+bmLl26dP78+QCwcuXKefPm1dXViaKYlHhGRkav7wm22CGEEEJoAPN6vVartde7\nW63WtWvXnncZelEUr7rqqpdeeunQoUNHjx594YUXxo4dm5WVVV1dHQqFEtUeAMyYMUNV1V27\ndiUr3utrAZzHDiGEEEIDWjgc7kXvug4cx1FKg8HgeavDFStWjBo16o033gAAu92+b98+AGhs\nbOR53ul0Jrbhed7lcjU0NNjt9qTEe30tgC12CCGEEELnHU4bDodnzJgxZ86cPXv27Nu37667\n7po5c2Z7e7tpmudur2lasuKXciHYYocQQgihAcxqtV5Kf3FFUQzDsNls5761cuXK2trazz//\nPLGw7AsvvODxeN55552SkpJ4PB4MBhN7aZrm8/k8Ho/dbk9KvNfXAljYJXgDgVVra2WfXWV0\nW2lw9pRKAPCGAqtWH5f8Do3RnOWhmVWVAOD3B1avPSYEHBqn5I7VpowtT2y5ZtUJKWBTuHjB\nBHNSWRkAtIcCH35YKwZtihAvnUgqS0oBwB8Or1/TwPhEXVKumCqNLMgFgBZfYONHzXxAUGV1\n9DS5ND8bACJR/wfVaxtjsQyBn1023WXPAoB4XNtV294W0V0iM77YKYocAKiqr67h9WisQRbz\nPHl3sawdAMwomF9oJGiYDkorWRAueO1hw9gRiQYMM4tlxkkid+EZgAJ6bGf0VNhQshnbONnD\nEGzuRRehGbHGwI641i5x6dn2Kob0/lkJQghdiNvtvpThX+FweNasWbIsn/tWoubrGFNlGIau\n6/F4vLy8XJbl9evXz507FwC2bNnCMExlZaUkSUmJ9/paAAs7ADAMY/1bLbfWetp5wpkQacpb\nTXZdVzV645utt570tPMg6ORwe9oa+OL6ytEbV7TOOZXv46mow9E2ZTvZN7Zs5Mf/P3v3HWTH\ndeeL/XdO5+7bN9/JEYMZ5AySAHMESYlJEle70r4NXrvW5bJfeV21q1r7uWy6XHbV++M9ybL9\nnrfKdu2upV0FLiWREsVMgiBIImfMADMYTI43p47nHP8xAAiSw4ghBxj8Pn+QxGH36XPPbfT9\n9unT3T8vfGOiuaRKeigGC+FROLdhVde+XxQfG28tK8QIxdlceFq60Nva/t4/FR+YSlYUYjDz\nzDzXvzOXjNlHf1HdM5MsK2CGcCYbat/ONiWtf3fgt2+xXhvKtSBy8sjr/91t39SVyC+OZV8t\nRxI0KHL5vlL+j3dmCLjHzv71WPldjVoer80XD2/f+GPKNPKCpw3XuSpJHvMmTPGkRuRFEpvD\n+T/mi+/XHVuiuZA9GbP/MB5bNNlVmPsP+YNH6xMmVXOs9oeJbU9FN32h50Cimw3j/pmZn4wV\n9mpyzA0L3ck9Gxr/mFI85iCEllhvb2+lUvF9/8vNtMvlcnfdddeiv2iPPPJILBb73ve+94Mf\n/IAQ8uMf/5gx9vjjj8disb/4i7/4m7/5m7a2NkrpX/3VX33ve99beN7KUpV/aXiQhbNjF3fM\ntF6MVD1JAEBbrV49Fz2RuPDNkfRATPhUAEBfVXrrjHkqMvTIaKo/BgENAaCnou49SQI+uGes\noT8GIQ0BoK8ov34sLDvnHx5t6o9BSBkAbCzKLx2pV8vj903E+mPAqAAQm/PSGwezkZbS3VPJ\n/hjnhIDgW7LSq0dzPWsHX+EbN5LzFARA/j3Rd+jCu12p239XsnfodUpEOwQvlyJ3TJdj2sGR\n0r4GvY9QKgQfLu3tyr+bzt2rDdb9JhUIYVzW+2v1HSrpWmSX7XfdfbX6VkMHgBZJ/kWhdG/E\napIX2SvOuDOH6mMb9WYAaOb2P+QO3mutTsiLnN8gtKDoDF/Mv9pobydAIqJtaP6FjsTdMb17\nuduFEFppEonE008/feDAgc7Ozi+6bhAE8/Pz69atW/T/JpPJN99882//9m8ff/xxxtju3bvf\nfPPN5uZmAPjhD3/413/910899RRj7IknnvjRj360sMpSlX9pGOxgPl/rrVdyCQFAAMCnRPHl\nXKkkAHxy6SF/PgU1VPL5Eic0IPxyoZBDtVSpcgIhvbykJKRQrdSqnNCQXlrSo4QEcrXCGCHs\n0gVM4lMAT3IqYUgIXwhdhPoS4S6peBUFFAqX6lSEXw7cus8VIigRAEAANOD1gBu0SEEmlAIA\nIVQikh8URJ0LmcDCyQcFQQlZ5CZuAIAa4/rlcxSZEpnSGuOL7hR1EehEWfhvlUgUSI37CcBg\nhz5RwOsy1QgQAKCESpLmhzf1o/IQQl+de+65Z+EZxZr2yXOPFjM2Nvb000/39PR80gJ9fX3P\nPffcx8tlWf7Rj3708Ry2VOVfGk6Tgs293YfSvMGRQAiFk3jAa7Hy1jWdh9OswZVBCJWRuC/q\n8dKWde3HUmHGkwFAZTQeCJaobFjVdDzJ064EABqjMR8gVd3Y03A8ydKuRECYIYkGQsrU+1bH\nTyV50qVECCuASCis5rB7ldUfYwmXAoAVkEjAo83Qk+ndJC7kwQSAstBqJNqX7GxJ6rd4k7lA\nEgCFUKqC3BLXErEtAXhuUAIB9bAQCD8e3QzNlPqc1hkA0DrzW3RoXvyaaYeqFhkrMyYAZsPw\ndstsVhbP+m1KLM9qVeYJEFNh+Z7I6gb5yz80CN0MolqbF1bcoABCOEGuyd4R0VqWu1EIoZVp\n1apVf/ZnfzYwMPCFnjGey+X6+voefPDBlTSzSHrmmWeWuw1f2KJPEfz8CCGGYSzMfwQAU9OO\nu+f8YmRbXkp74vWO6v1PNqejiaPOuaBobctLGQ9e7Kw89HhrKpY4UTsXFq0tBZrxxEtd+W88\nuTqViB+pnGcla1uepj34bW/+yafWpqLxg5UBXopuz1NHtt7omfz2NzckYvbJ6gQvaVvypK4Y\n76yZ/+ajfQ3x6MHSOC3rW/IwbvGDfcUnHu61rYRWG5+qVw7Dxh4y9Sex0p3r7zc0xVJIts72\nOdENuvsnHbynNaaq6YTcUHNGJusnM0bv1o7/OpW6i9jEs1RSFPq4EzRpfKdGOhZJ8KqqRilp\noTTL+Du1+jZDfyQaaVaURTstJVsZOZLn9f21i7eYHY/FNqSVlRDsDMMghDiOs9wNWU6yLFNK\ngyBY2moVyUqavU6YHS/ta4hs6k4+GDO6lnYTS2jh9RuO49yIL+NZKoQQTdNu8rfRKIqiqqrn\neYyx5W7LcjIMY2kPjIvemnDtgiC48ne2p6enXC4fPXo0mUxS+tnjVoVCYWBg4C//8i97e3uv\nFC480+6raOrXBl8pdslUIXdqYDwSUXZvWHflS50tzh/tn4wnlN1rN1xZMlcqnBkcTSfs9VeN\n3GYrxVPnxpvS0XVdH1zgny/kzlyYaGuKr277oLBcq52/ONucsVsbP3hhSLZQPjc+356JdTR/\n8NIVx61N5Uaak22mEbtS6AesUvVsS1PVD955EoZVx5009DZZtj74nD4RJQ4xIOriJyJXXinm\nCVFhPC5R+bNOWVwRVpmXkIwVc0ssvlIMvuJXijHue6ysSVGJXte3xOIrxQBfKQYA+Eqxy26s\nV4pd+WOlUvnlL3/50ksv9fX1WZb1SWtxzicnJ7u6uu6///6dO3de/b8+8kqxGxEGu5sXvisW\nMNgBAL4rFgAw2AEABjsAwGB32Q0a7AAgCILXXnvt5MmT/f39DQ0N8Xj86susnuflcrnJyck9\ne/Y88sgjXV1dH6lwBQQ7vHkCIYQQQiuEoiiPPvrozp0733vvvaGhobfeekvTNFVVGWO+73ue\n953vfOfP//zPt27deqMHuE+CwQ4hhBBCK0omk3niiScYY9/97neLxWKtVlMUxbbtxsbGaDS6\n3K37amGwQwghhNAKJElSW1vbNb6h64aDwQ4hhBBCNyRFUeTFHqr/pa2A555gsEMIIYTQDUn5\nhEd03cxWyEMrEEIIIYQQBjuEEEIIoRUCgx1CCCGE0AqBwQ4hhBBCaIXAYIcQQgghtEJgsEMI\nIYQQWiEw2CGEEEIIrRAY7BBCCCGEVgh8QPElh06fHR92ZF3cs6s3Fo0tFB44dWZ03NV0ce+t\na2IR+1Jh/5mxEUc3yAO3rTcNY6Hw9ODQhYsly6b33rJZli+9V/jo+YGLI/VoDO7fsUmSLz1E\n8djAudGxSiKl3rNj85WtH7kwODZRzaSNOzesvVJYq16o1S+YZkck8kHh0NzI2fzk2lRzX2bV\nlcLZ0uhMZbQ11p22268UTpQmpipzbdHWlmjjlUJRyEG5BMk0sT/jZXlOkPNZ2VAyqhT5vJ2I\nEEIIoWWFwQ4A4LlfH7vndGMfb5I5HB6stTxR6G3v+sWvj7WPtj1SlBTO958rrf5Wpaup5Z9/\nfeyhU23rBZU57D2f3fZdvTGe+cWvj3eNtjxQjMscXjozefcfJqN25GfPnWgf79hT5IqAF09P\n3vVHqbhl//xXJx481dIr0rKAX58cevj77Yam/eRXJ7vG2x/OJyUh/rlv8Ok/XKXI0tDw/3l4\n4ocSkUMItzb9J+t6/w0A/Nsjr/yH+j1ENIh56T8defl/uOVhAHiu///59/UjshDhLPlB5LYn\n1vwZAPzD6d//3XyXAhKV/P+y8dWn1zwEAPDee+bemqAiaBsIN7bA7jsW7Q0hxIXciyem/m9K\n5NbY7q7EAw32lq/vy0AIIYTQlyU988wzy92GL6xer1/L6oQQwzAYY57nAcDIxNjalyJzujFj\nspwm+krKoWJVTlWV91JJT5q2WFYnG4vqvlKW2KXNrzbkdGnK5DkNtuS1V8vTetTv2NuiMJi0\neE6DHVntpfqoL5XvfrXRo2LaEnl1ofCiB+VtbzVkDWnK5AWV3DpvvuQPlsLSA681BhQmLV5S\n6e3Txm/hXFs6t/f8f5NSu6Nas0Gjw6W3Gs0NZwu1v5nb1khGM3RWJ9V9wdYd7EQYzP9t9oW1\nQu4ALcrh+XD8fr1ztDT3P4/F18gXW+WCIbIvVjrujVYT2ZL52xm/yedxRhzQT/iwPSNUnTH2\nkf7J1QcOjf+w0d4a1TucMFsL5hoimyWqXkufX7cMwyCEOI6z3A1ZTrIsU0qDIFjuhiwnTdNk\nWXYcRwix3G1ZNoQQTdMWDow3LUVRVFX1PO/jx8abimEYS3tgNE1zCWtDnwLn2MH5kazGjarC\nAEAQKKrErpnnhnNbC7SiLhSKkgJWzRoaLZicVhQGAJyIkkKMamRwpJCpe2WVAQCjUFGpXLJG\nRisBJVVVAEBIRUUhUtkaG6/ojC5sKKC8IgMv6hPjtZDSisoBwJN4XSJuXq1UzilEUWUTAGRJ\n16hRrp07VZiTiG8SBwAMcGXinqzkx8pDBogIyAAQIbLOxWhp8GJ51oSqQRkARKRQJ85oeRpy\nOa4yUAAAhAFCYnx2dtEOqfuzmhyXqAYAupycLL5XD+a/8q8BIYQQQtcMgx00pixZcIVf6gqD\nEUfzG1K6JITKyEKhzoir+cm4JnGhcnJ5SeGpXialXbWk0AMe6F48pSpcyIICAAgwGIS6H41J\nsgB5YXUhDAZMD+yELHO+sCQRoHGgeqjrjYEIOQ8BgIMIuWdojS2GxYTChAQAHCQm1GZVjxtp\nH4AJAQCh4B4lSSWd0iIe6BwIAASCeEJL6jYxTRpSWBiMCAXlElyeNfgRqhwNWA2EAADGPS4C\nVfqMCXkIIYQQuh7gHDvYsm7N892DD4ymiqqkMJCgbq8r71i76flVF/eMJMsKKAyGYkFms7tr\nw/rfHB99ZCReliWNi4FY0LmNbV+7/jerLjw8kqjIVGNwKhls32V1NLf8/vjEg2PxiizpXJxK\nBttuj65qbHnx9NgDY7GKQg0OR9Pu7bc3NMRTvzs9+chotCpTM4R3m90H71mVsMw1qUeH8i8r\n1Ay50xm9syHzyENN2n1ze99it2mi7oN5h3To0VW3arLyxNy+F2AyIqBKybellnXNuxnwB+Ze\nfLPWZUK1Kuwnohc2NT4u0sxdN64NyFxmkq/Ut8tmcyvj/OMdkols7EreP1J4Q6GWFxa2tv6l\noSS//u8FIYQQQl8UuREnlGSz2WtZnVKaTCZ93y+XywslruO8+Fq/lLOZHLZsDHZt3QwAVbf+\n4mv9Uj7KlKBri7h1/QYAqDv1F147KxVjTPX6tinb+tYAgO8HL7xxWuRMpgY7d8V62tsBoFav\n/u6NQVo0me7v3B3tae0EgGqt9tKb56Bkct298562lnQaAGqu+9u9AyKv84i3597utB0FABa6\n07O/rjljht7U0vwdWbIAoO45Pz/3/rDjd+ny99fdbqgGAASh9/7Ey9P16Raz5da2PaqsAYDr\ne2+NHZhzq22R+N3tt8qSDAAi8GHoPClVRSoBPasjdjQMw0Xn0zDuz1dPeawc0VqSRh8h5Fo6\n/HqWSCQIIfl8frkbspwWppfVarXlbshysm1b07R8Ps8XO9u5SVBKbdsulUrL3ZDlZBiGZVnl\nctn3/eVuy3JKJpNLe2BMp9NLWBv6FBjsbl6WZX1SsLt5YLADDHYAgMEOADDYAQAGu8sw2N24\ncI4dQgghhNAKgcEOIYQQQmiFwGCHEEIIIbRCYLBDCCGEEFohMNghhBBCCK0QGOwQQgghhFYI\nDHYIIYQQQisEBjuEEEIIoRUCgx1CCCGE0AqBwQ4hhBBCaIXAYIcQQgghtEJgsEMIIYQQWiEw\n2CGEEEIIrRAY7C7xPO/4wMDkzOTVhYKH54fPF0u5jyw8OTdRr9U+UliulYUQHykMQv/j22Kc\nXXN7EUIIIYQ+Sl7uBlwXXt53RD/Vsns2fTIhDiXO3/PtxoQde3n/IeVk650zieNJPpo++8hT\nrbYVe/3AEX68Ke6o41J1tOHCt7+1RlG1tw+fcI4kk47mKvWZ1qk/eGo7ALx95Hj9SCrlaDWZ\nZbtmnv7mNgB488jx+tFkytGrCiuunnr6oR0AcPjESP6QYjtqTWV0Q+X+O3sB4NUzx86cpqZj\nuqrT3ud+a+etADBdKu0dH88FQVKR72pta0skAGCmMLVv8mA+qCVl6+72WxvjLQBQys3NnJ8K\nXSGbtLmvPZpIAsDh2dKRIZ95VDbZPX2R7ZYFAPJoTjsyS+qMxxV3VxtPRwAgrF705vfzoCwZ\nzVrDvZKW+EL92e/MHHTGaszvUBP32qsjVFvSrwshhBBCi5OeeeaZ5W7DF1av169ldUKIYRiM\nMc/zAGBkYjR4M9lZ0UYsoXG6dd56PTtlplzvjdTqkjYaIWZIdszaLxbHo4mg9np8TUkPKI34\n0i3TkeedoUSSFl621uWNUCJxT75lPPaCfyYWlQu/j2womCEhaVfeORp9VRrQNV56NbYpawgg\nTY68Yzj2pn4uYhlzL0rr8xoRpLkm+TktG807xDm8V6zJxglAc9WaK0phPBs37Z8Nnjtad7gQ\nQ34wVy6vSySCoP6zwRcPOxOBCPr9uWx5bmNydej5I4dG/FlNcPCzWrWcTbQmx53gzcO+kYvw\nkBo561y5trHT0PJV7cVheTIgoVAmQylX8dckeZirjf48KJwRzPHzxyCsKPHNhHzewd2xoPCD\nqecdFtRFcKA+GgDbbLRcy/f1lTIMgxDiOM5yN2Q5ybJMKQ2CYLkbspw0TZNl2XGcj4+73zwI\nIZqmLRwYb1qKoqiq6nkeYzf1pRXDMJb2wGia5hLWhj4FXoqFk/3zmwryrBFyKlyJzxgkXUic\nPDu9NS9PmyykvKbweQ3i+cSJczPbc8qUEXoSq6gsp1FjLnX81PiOeXnSCh2JF1WWVwhMJ46d\nmdieVybMwJF5XmcFldbGzMP90zvn5QkrrCl8XmcVhWbH1FMn57dn6YTBqoqYM8TqkjRy1nvn\n/PCOeXsi4lSVcMZ01xXsI4Pzo/n8e17YpchRiXbI0hE/vJjLjhXH3/Mnu+V4nBqr5MS7/sRo\nfrQ4PxfM2jTmEY3RqBNOxYvZuRNTtUQuVo+4TAur0Vp6OnV8tiQNZaVpzhKUGyRME2UolGcq\nQXnQK5ySrDaqJmS7z5l8kbtzn78/z7lzGSnSosYSkrFGyzybP14Mb+rYhBBCCH1tMNgBwIdP\n0LkgQAQQAPLhxQgTXABcKRcCgHMhxIeXJACCsQ/VSgAIUOBCfKRKAL5Qz1WNIZSAEPDRUQPy\nsZYKQggBgKsrFbAw3kCu3pAAwS/9+4OWg2ALf6IfbpMQQghy+RMRAHHVip/Hhwc8yJV/IIQQ\nQuirhsEONqzLnEyyBlemAjRGmlyYS5Q2r208ngqaHEnm1AyljCeKydyOta3HUmFLXVYYsQMp\n7QsnU9i2sf1IKmytKTojcY8mfSaaCjvWtx5LB62OZDCa9KRYIPTO6rb1zUeTQVtdMpmUcSU7\n4Ikub+v6zIkUa6tTKyANdXrBFh1r1Nv7Oo80lNtqhhXKjXX9bKKytTvVkUzcpsqjIaswMR6y\nHarcGU92JDpuU1tGwlKZexfD4m61pSPZmcg0yA0VXtGEL/GyLrcU45nMliajlKroFZ16UqRq\nZpvy25tibFWKNRJa4tThUo4HPVLQbCvRXjWxMaxPCL8UVAeNlkclvfHz9+cavWGeVaeDUpG5\n57257yS2xKj+1X19CCGEELoC59hBMho/5ZytF83teVln4dsdpXufSDc3NJ8J+stFc0dOGrfY\n4bbsI4+1NaQbBvhAtmi2uJGs5h3snvn24+vi0fgIHZwuKQqjJZ0f7p14+vGdUTsyTIeniorM\naV4Lj66beOqh7XE7OkjPT5RVmUszVnBs4/iT9+6wLH1anx0tCALSTCRwNpbuuKU7aUVz0vjZ\nuisEnbWr6XXlhzdtVWW5Vde563IhenV9T3t7YyyqylqbniSuSwHWG02PdN6dtFOyqio2dYOS\nIFzPsPbNHWYkGtdUEfEnPIcTzlPOfVvMVckoN5TAFMT1BCVhm+be2ylsg8qWpDeAYERSteQ2\no/UbVLE+f/fGJWOT0RIIplNll9X1aHS9Rq/fe3Rwjh3gHDsAwDl2AIBz7AAA59hdhnPsblzk\nRjyKZbPZa1mdUppMJn3fL5fLVwqrtcrAxfGUrXd3rrpS6PnOhfGRdCzakG69UiiEGJm6mI5l\n7Ih9dbWlcs4yorKiXF1Yq1UtK/KRBrheXdeWfxe3LCsMw5v8IJ5IJAgh+Xx+uRuynBYyTe1j\nT/C5qdi2rWlaPp/nnC93W5YNpdS27VKptNwNWU6GYViWVS6XfX+Rh1XdPJLJ5NIeGNPp9BLW\nhj7F9TuU8jWLWPbOjes/UqipxvqedR8pJIR0t66Cj4lFUx8v/HiqA4DrIdUhhBBCaOXBOXYI\nIYQQQisEBjuEEEIIoRUCgx1CCCGE0AqBwQ4hhBBCaIXAYIcQQgghtEJgsEMIIYQQWiEw2CGE\nEEIIrRAY7BBCCCGEVggMdgghhBBCKwQGO4QQQgihFQKDHUIIIYTQCoHBDiGEEEJohcBg94HA\nLQkWLncrEEIIIYS+JHm5G3BdeP3QwerJxnTd8KX6VHrumw+3xGOZg/3Hxg5a8brt07DYMvmt\nBzcbhnl+/MLxfW60GvXkQO6e/+Z9twHA9NzcO2/Mm9WIpwTp9c7dt2wCgEK58PorY2rFCjS/\n7xa6qXctABQq1Zdfv6CWzED3t91u9bV3AUC5Wn71rWFSNLjp3XFXY3OmEQAq1erLbw2Ksk4s\n//77upLRGADUa9WDb50Myopkh7fds9GybQCoOt4re0d5Saax8OF7OixDB4Aw9M6MvJKrz2Ws\nlnVdD8mSDAChEP2eXwjDBlleo2uf0iGBEGdcr8J5kyytVlVCCAD4PDzjzlS516LEerT0wpJM\n+PPV0wGrRfW2mN79lX1FQHyfzs8CYzyRFHb0q9vQNar5M4X6BUrltLVelezlbg5CCH0uzCV+\nTiYASpJJBl/u5qAvD4MdnBw6rR7o3F1ScqpQuXzLOAZtxQAAIABJREFUfPvz4cxt95ZrbzTd\nl9eKKihMy0z3PhueffzB7rHfGXvm4gWNaCGkRqO/4Qfuv2XD6V/5e2abSwrROIwUgrfYiVs2\n9Rz4WWXPdFtZJXoohrLhibC/p7PzvX/OPzbVVtFAD+HMfMifHO1qaNz3s+LDkx1VGcxQHJ3x\n4LuzyVji7Z/lH5nsqMvECMWB6eqOfyVFVOXQP43dOrW6LhGDwdHJyZ1/0sao8s5Pc3smU3WJ\nWKHYO5G//08zEuE/PfJvnxczthClOvxR/uQfbP9rQek/FUovVqoWJWXG/1Uy/n3LWrRDfCH+\nv0Lx1UrNorTE+H+Wij9iRzwR/mPh0BuV8yZRi9z9L9J3PGj3hcw5NfOPY4W9smR4QWFH+7/u\nTNz3VXxHxKkrJ47QqUkiScRxvPseYo3NX8WGrlG2dmbv8H+vywnOg6bojg1Nf2wqmeVuFEII\nfYagTKsDujcnAwEtE1q9HiSXu03oy7ohg93CANJS1XPqlPdYXhmMhgCkBuBT2jOfee/w4JPZ\ntedjoQACACGVWmda3tx/Yc9Mz0BUCMpBA0Yl5WLzXnH+/unO/jgXIACgoyYfHIi84527Z7qr\n3+acAgD0lJV9R8T43LkHptoHYpwRABAbCsor72bH2vL3T3T0RzmnggixPau9sm/STM3cP9E6\nEOWMAuFk16z+8t6h1qh36+SqIdvjFCiQHTOpQ/tPlbXM/ZOJgRjhICRO7p3Q3jgw2tMx8msx\nvZ3rElA/ZD+Fkdtnj9ZSW35XqW43DQrgc/EP+eK9qWSjJH28M8847uuV2nZDJ4S4nP9drrDL\nMgfdqbcqQ9uMdkKgzvz/I7vvNquzUjsxUXqnMbqNAASsNlM53BrbpUjmknw7V5MmxqT5Od7U\nLACgXpPHRnhTy5LUvPDxl2qPGiu+ndBXW1oDAORq/ZOl9/oyTy5JzV81QshSdcIN6sqecDP3\nA7lsuRuynG7OPcGdVMOSpGUYAIQVyZ1QoWfJDozoa3ZDBrt4PH7tlSiKslCP5BoeBYBLe7An\n8215MtCo+RKIy4WOIiK+NF9XfAkEFZcKJWF5as5VPAkWUh0AuBKYnl6vSj4l/PIMRlcimm94\ndeZTwsjCksShoHpqvcoCCpwKABCEOBKhjuJWQ1+ijDIAEFS4lApH84kfUBAUCIAA4RNgjhww\n6lHKgQMAo8KnxK9Th9VMAIXKAKADNYTnkwo3zbimmboOADpAhDFHkk3TMAzjIz3DgSR0faFc\nBzBCxk2LEzmp24axsLquh/PCUuSQWUbS0HUA0IQ+lt+nmSJqLMG389EmUSJsm+g6AAhZIhI1\nIhEiL8HeSymFJdqjuGDSTBiNpBVJBwAb0lTxl6Tmr9rCb5iiKMvdkOW0sCdEo9fvVf6vB6X0\nhthpvzoLacayLNNc+nPU65ZHCUSIrAMAhAAKUXBPuHHdkMGuUChcy+qU0mQyGQRBuVwGAB6p\nmgwIkIVwZvvSoXSoRh0jFBIHRgEAoj5MWGEkHuoMZE5DygEgGtIBw7HjgREKhZFAEiBENICK\nUUumuca4xqgncSIgGgrXrMZTXGdCZ8SVhMTBDoVv11vToDGhh9SVucxJJBAk7iSaVD3kekhc\nWSicWEyoCSeWkDQmNCa7UqgyqjMwU5ypxLi8pM6Izng0ReJac4VANfQNIlVEUJdJTG2tOvWs\n5+ZBGJSWGav4fkLwWq3med5H+sd0vTnHaQahElJgbIeqaPWa5ZNZp9goDJXKOVa7VWtT69zx\nrHJtViMNElHqwXxzZLdflwvuNX07i5KpJBfyTJYBiFQusaaWoFJZkpoTiQQh5Br3qCsIj+TK\nA1GtUwAv1CdaIvcsVc1fKU3TZFmu1WrL3ZDlZNu2pmmlUonzm3d2EaXUtu1SqbTcDVlOhmFY\nllWtVn3fX+62fH18qtXzqgwMCAQFybJ9zq2lPXyl0+klrA19ihsy2C2th+/s2D/p7J7TiwpV\nuUj4/N21I0/cven1qcJ9k9GKDIqAczaprht5YvfOF0cmHxqLVRVJ5dAfCxJbS3ds3fqbC8OP\nXEzUZKpycSLpr79TXrtq+6/O9z96oaFOJU3AgQbnrgczDemmnw8NPHUu7UqSyvje1vqeB3sS\nduTZ82ceH2j0JKpyeK2j9I0H1mua/svzZ58YaPAJUTn8rqfw+N1bFEV69dyhuwe6AiIpAPt6\nxx684zYA+JcLw4/1RwNKFM6f31D+g52rALr/q/kj/7t3ShFBQOAHkV2Z1JoMwH+eTPzHXEEh\ncJtp/m0smpTlMFzkLuC1uvanyfj/my8qBHaZ5v0Ry6J0vdb0/eSOf8gdVIi0y+p8KLpWJ7Ia\n2bSu4Q9Oz/xEokprbHd38mGJql/Fd8Tau0ipKJ87C5SwzlVhT99XsZVr153YE7DaWGGvAN6T\n+mZb7M7lbhFCCH02s8NnNVobVgHA7PLNrmC5W4S+PCKEWO42fGHZbPZaVl8YsfN9f2HEDgAu\nTlx8991KpBIN5VC0zX7rntskWS6WZ198Y1QtxX3Va+ytPbBzFwA49drv954JCxGhBJu3m+t6\negEgCNjLb59wcioxwrt3tzSkGxaqfWP/kfwsVSz2wO1rIvalGyTfOHQ8OwO6zffs2qBfvjV1\n/7FTc9NBLC7dt3vLlVkN75/on5nxEinpnp2brjT+3Nkzc5PldJO1btPmK4UHz03MzDjNTeYt\na1o/6KXCUK481hDvScQ6rxTmGCuELCNLMUmyLCsMw4+P2C2YC8My442yZEvSlcLZoFLhbpMc\njUgf3FRb9WYCVo1ozYq0+N0YS0IIQcslIriwo0JashOShRG7fD6/VBUy7lW8KUpkW2sl5MZ4\nnBCO2MHlEbt8Po8jdjhiZ1lWuVy+qUbsAEBwYFUJACSLEQmSyeQSHhgBR+y+Rhjsbl6fHuxu\nEkse7G5EGOwAgx0AYLADgJs42H0EBrsb140xooAQQgghhD4TBjuEEEIIoRUCgx1CCCGE0AqB\nwQ4hhBBCaIXAYIcQQgghtEJgsEMIIYQQWiEw2CGEEEIIrRAY7BBCCCGEVggMdgghhBBCKwQG\nO4QQQgihFQKDHUIIIYTQCoHBDiGEEEJohZCXuwHXi9HJw2cm83aE7OzYbEQar5T7TkFWLCqr\ny9g2hBBCCKHPA4Md5Auj//L6TN9M94PzXUfixit2IVz78nfufPj5t96kg10Jx3AVZzYxc/+9\n8aamVRcnLxzYX9crVqCGRnfxsTtvBYC6W3/5rbNBUQc12HFbvKe1e6Hmt48em53iuskf3L3O\nMCILhSfO9k+MO7G4tGv7Blm51P9Dk6MXxuabMtaW1euuNGwqO3d+ZL6zOdHd2nKlcDo/PzQ2\n3dPS0NLQdKVwtlI8Oz29vqG5MR6/Ulgp56bnRlubeywrdqWwHoQzdb/V0jRZulLo1Mul7Gyi\nsU3TjM/oLO7zsEbkKKEfrA5hCIEPugGEXCkjLBS+L3SDXFXocuEKHqWUXlV4jeqMBAKikvjM\nKqsh4QBRWSzVpgGgxByZSBa9bnK/EOA6RNWEJH32wh/HBXG40AjInzGWz3nosbIq2RJVvsR2\nAg4VRmKykJZsR0AIIQQAID3zzDPL3YYvrF6vX8vqhBDDMBhjnucJzv/+xXN/droXBJ0whS7Y\n2pJaLWbenn/xgQM7GpyILKSkK2+fje2bd0lieuKF2F3jiZSjryqZG4biv6yd7WqJ7v1p9sH+\nhtaivWY2PnJRHlEH2xsbnv3ngQf2N3fNJHtH4/uGa0Zb1Y7Yz/3z6dv3NrZNxtsH7ddHsi29\nsqqpP/v1UfX99K5TyYaTxrNTo2vXxymVnv31CfGOvfOEPTJM3xsbWb+hAQB+9sIxeNu+5Wh0\nYJi8PTW4aV0TAPz7vUffP5UxBte9PFk7lj29q7MZAH77xnP9Bwupo8l3Rvuny2d6OtcAwK/O\nZd85EVQPx/dlCxXFWZOJcc6P/O415/Va6zux4XPD83w009b+Sf3mzu6tjf+qMvBjERQlLUPV\nOADIIxeUgTPqwf3EcyFiC00XQsgXh+RzZ9WD+6nv8UgENF0AvFKpvlCu/Dibr3LRoii2dK3T\nAAIOv5nTXsqqPx4zfUE6dWZ8QpjxOPmXGe1/GrZ+NacxQboNpl3euGEYhBDHcb7o1kvM+UXx\n+P86++pMUJ4JK6vVtESWeWIDLRWV08fV994m1QqEoUgkP+eKsixTSvlETT9cM18vSVUOhPDE\nJ571ZWtnzs79/ND4j5xgXqZaRGv+Qu08XJKfndP/t1Ez69OoLDLqUkbtL03TNFmWHccR4rpo\nz7IghGia5nnecjdkOSmKoqqq53mMseVuy3IyDONLHBg/hWmaS1gb+hQ3e7A7P/p+9PAqTmhR\n44IAo6Kk8PUVyLGGBteaMpkvCVcWJZXsmtVeqRbumUpesFlVFWVVBITI1eiR/OCewaZzUVHU\nRF4THTV5tEiHaoOPHG4bjJI5g+dV2FhQ3yxls9Wp+w60Dtlk1uR5lWzNaa9URnP+zANvtvuS\nNG7xkkJ3z1i/DfrL9co9bzT5VBq3uBnSXZORV+Wh+fL8mnfXWGE4FhEJT9o9bu+Lnh8s55ST\nd9UkPqsXTWa2zq6d049XZs8l3mkvK2zKLpqBtXYomW/NjYdGbm/SJUHFriuONldhna3S5Jmj\nPS+3+pTlIpWYE/GyTF5FdTPy8U4LKoOlU/8LVaJKZFVQvci9eSWxTcrl1P17uaqJRErK56Be\nY82tcnZOfW+f0DSRSNF8ljgOb2k74Xo/zuZiktylKud9v8T4DkMn1zZut6+g/GRKjyuiQ2fH\ny7IgZGMkXHTJ13Pqs7P6Zpu1aexIRVEorLMuHbK/dLB7vnT69eq5jXpzCOyd6nBKjnRrqWv5\nONeKc+XUMZKdY5lG4nny0Dne2CxM6/OsKssyDUB6vyTlQ9akkjrXTtTDHl0Yi0RVNywOzD1b\n9acSRp8bZs/NPdeVuF+RPteGAGDao//tYMSgYrXJpn1pLpA2RELtOpjri8EOMNgBAAa7yzDY\n3biugwPqshqcK9+Sk8oK/6CIkJw1nXT10lWXmELK6wqN1xMlhVy55ldUYUeWkJJdlgm/3JF5\nRaQcozKr1hTqSRwAGIWCKqJVOzsFdYm4MgeAkIqiQtWiPTnBXImWFQYArszLCmU5e2rUdSRa\nVhkAODKvyKQ2JU2MBCmvVtC4ACiprE7JzDg5PevVpNCVHABwJKdO2an5+sjMbEkNPcUlAI7i\nzKvKhfHhC/OuowRMZ0AhMPzkXOzsbLU0nHfk0FV9QaCi17tymdmx0UU7itXGqZaiig2ESkab\nO/sW9+ZJucgNEzQNCGGxuDw8RB0HSkVhmqBqQAiLxpQLg8R1xoMgI8kWJRIh7Yry+0q1xPmi\nG/r8JjypSeM6FTKBdoNPupR9wi/yuEtbdK5SoVBo1diYc627vQAxERRb5bhCJI0oTUpszC9c\nY53XiNRr0vAgj8YJIaBpYFqkVPwCqxcDedjhUQkICINyk9L84im56k1NVw6bSoYSqstJVbbL\n3vjn39CEJ9mSSCiCEmhQ+cGiPOXd7EchhBBaQjf7IdXUCABIHw4EumsHkpDFh8aTZAae4l+d\nAGUB05bNFF+5anVVEE/iROcK/6BU5cSXQlljihBweTxA4SJUAlXjsvhgSyoDJvuKJRQBlwoF\nqBxACyVDKPxSIRFCAZDUMKIJlVOyUCUhiqARlRi6onEKIC6vLlmGZuiSzOnC1gknMqcxU5Et\nSRZkYYiCckI51Ux90Y4ikiGYe+m/hQ+CE8kAWSEsWCikLCQAQpZBlkl46UyXMBa2d4KsGIR4\nlz+4y/kdlmnQa933DCpcfqmTXEZU8okTtkwJ3Mvn3i4n5peafnY1AsSgqicuRR+PBwZd7umq\nikIA6OWehzAA5YvM/NMkwgQs7LRCkEAIdfHeVCSTM58LvrAk475Cv8CJuEGFzy/9JWACfLEE\nXwdCCKErlvvXaLndvnrLS63OrnlrzAwX5v5rjKTc+JutY1vzHVUZGAUASLnS6YTvpCaTY8my\nT6sqlzhpq9H3muZa+sLyuJpx/KLGNUaaHX6sM7d1c/TkKFtdUYoKNxikfCHas9s2th0fDdYU\n1JIqjJAmfJboc9ev7Tow6G3L6iUVrJD0x/2+zWpne9vBc+Ut80ZFBSuAUwl/2y3JhG2/e75+\ny7xeUcAK4WDGv2NHi2zp/2F6pLPcUZX9CFMHE8P/emOPzNtfGjvckW2pqH7M1/qbhx9fdxdT\nrZ825WNzcU8ODV/Jds9vbWiv3bZ5uP98Wy7jyaHlK2c7R9b33LZoRynxDVpqp184TiSL+/PW\nqj+haoI1GrSpRZ6bFooKtaq/bSdoOmtqYbPTdHYGVIVUa/6W7UJRtlJ6yvXOuK5O6VzI/iIZ\n1675/okd0fAn03oIIAPM+PTJhk+8frQjGjw7q3mcUAozLv1+s3uNmwaAHWbba5XzFe5z4LNB\nZafZce11Xguh6f7Wncrp48KywA94cyu/6vaaz149Jnk7bPVkTViUuCLo0VnT4rnQVtt6Mo+N\n5F/T5YTPSl3JB+JGz+ffUK/J7k0G+4tKTBL5kDzV4LVqN/UFL4QQWlrkRpxQks1mr2V1Smky\nmfR9v1wuA8Av9v+28eiOrQWtJoMkIBbwX/QUdt+ZG3it8aEJu65QmcPpeDDRN/D0nrt+9qtT\nqyabtuYlKuDVdqf93urm1et+/cqhxGBbZy06q9VGM9lHn2i3I/Y7x44VjiYSdcNRwnLn9Hce\n3QkAx8+cGzsoxxzDUQK6Jr/n7m0AMDA6dHK/H6lGHN1r2uresXkTAAyOT5zYVzFrpqt7q3bR\nrb2rAWBocvTwOzW9arpmfcvt5rrOLgA4Nzv5y5MF342oWvWPtiZXN7QAwNzM8NtHjgSOrFns\n/l23xxMtADDreK8Plep1iEfpw6sTTfFoGIZTY0Oj750nNQkSbO29txhm9JP6jfnFIH+EBxXJ\nbFUT2wiVAYA4Dp2eoIHP7Bhral64W5Y4dWl6kgQ+j8bDxmZCKQBkQ3bUcRwuOlVls6EvyVjx\nhEtPVeVQkNVGuNZin5IVR13pdEUSQNZYYa/5QZJIJBKEkHw+/yW2PuDODvpZSZBNRnO7mvgS\nNSwtwZk0PUUrZdA01tQqjM+6x/myhelltVJVGfdpmXGdhJ2a+OSviHFvunK47s8ZSqrJ3qlI\nX2zqTI2RQyW5ENBGje+MhSq5Lg5Btm1rmpbP5/k1TxK4cVFKbdsulUrL3ZDlZBiGZVnlctn3\n/eVuy3JKJpNf7sD4SdLp9BLWhj4FBjsAgOMD7xw7YVj1uC/7QXryj+7eYlgZ1ym99O6xWt4k\narh+jbJ17S0LC1+YuHhuZC4W0XauX6uply5ccs5Gp0Ybkmnrw8FICHGNtwh8dSzLCsPwJp8o\nfS3BbsW4FOxqteVuyHLCYAcY7AAAg91lGOxuXDf7pdgFW9feuXXtlT9depKcbsSeeuDejy/c\n09bd09b9kUJKpe62VR9f+LpNdQghhBBaeW72mycQQgghhFYMDHYIIYQQQisEBjuEEEIIoRUC\ngx1CCCGE0AqBwQ4hhBBCaIXAYIcQQgghtEJgsEMIIYQQWiEw2CGEEEIIrRAY7BBCCCGEVggM\ndgghhBBCKwS+UgyA87mxN96YuZivWRJlG2LOrlXflOOty90shBBCCKEv5mYPdmFx/D8e3tsw\ndldHede3Cy4A7GuQ/6/zF7f1vZKx2w9cCINaFBQvkyk+vPFO1c4srCU4JxQHOxFCCCF0fbmp\ng51wqz9879Cu899aU3GymnsqwSVOuqvstlzrP0oX1syvf3pO8ymhAk7EtZ8Mjz10x9CxSc8d\nao05piuHxeT8E/e1JBItvue/ceBEOSepRrh7a2tj06XRvnx+5szIeFs63t3Re/V2y+VsxE5S\ngtEQIYQQQkvppg52r575py3DT66qeWMRAQAAJKSQ1/j7LW9smtmzqgJn46EAAgBJ3/3uUMPf\ny5PfGL0zEtSrMigckpORVwu17Q+ePPFq9KGJVS4BBeDoYHB6++EH7tj5898c6hjtuC3XPW1p\nzzWdv+9bqYSd+t2bh7RzzTFPc+nsdNvU009uo5TuO3qifCwWq+tVLQhXTz92/60AcPDUmZnD\netQxaqpnbyzevWsbABw+3T9xWIm4Rk13Grc5u7ZsAoAzI2P7jxVIXRWGf/ct6bXtrQBwYfD0\nxYMVzdE9s963O9XRvRYARi7Mj+13FE8JIsG6++PWKgsAxmrDL+XfKoSVNjXzjcyehJoGAJ51\n/bMV7goao/qWBOgSAMwPjk2emGUuaHHSd9861bIAQExxOBWCI6BBIjsVUAUAjM/XjkzUnFC0\nWnRXb1JVJADor4y+VbpQZ2GPHn8kvVWXVAAYz84fm51zOeu0Itva21RFBQBaLEjTk8BCnkiG\nza2ESgDgFyRvTgYGSoJrjcGnpGK/NBAUT4Hgst2rJrcSQgGgvyafrkhcwBqLbYmG5Kvap647\nLifvF+UpT7JlcVssaFD5crfoC8iGtfdrI2XuNivRXWaXQZVPWnImKB+sj1W51yrHdkW6NHJT\nH9kQQjcz6ZlnnlnuNnxh9Xr9WlYnhBiGEYbhs/unvn2hdcRmAFf90BM2q9l3ztnj1gflgSQm\nIheaamtiPps2uSOLmiKKqrh1Xv19ufjweMOgLbKGyGqio6bkS+bJyonH3u8NqDxucUbY9jnz\npfmZOpkzDrR2V/SQQNKTd07EX/D6Zclz3khsyJmSkFprml+IXSCDBPzCK9Etc5bG5I6yUc1a\n8/a4H3i5F43t87YZKj0FY37WcJrmg1C8+WqldyYhh0pbzj4xW23vkOrFuanfsfUzTaavd2WT\nF6fr8T5aKgSzvwn75nTTlTvmlaFxv3GrkQvm/t3o379TH8+HtQPO+JxzcVd0G1RY7a2SM6GG\ndeJMqqRQkldZxanZi6/M6rNR4ij6bGR8cqx5YzNkgb7sKhc9Ug6VITesUOiVZgrOs2drRypq\n1iP7ihqUy2ubzKH65N9NHz/kuDNh8GbVCYLpnbHuyez8X124OOf7MyF7vVa3a9XeTIaWCtpL\nz5N6jVQr8vAg6AZPpoKCNP9mhNVpWKO1YVU2hRJni365Qels6fi/4X4hrE+4U7+XzVbZ6jhZ\nkf/HISsfkHFX+l1W6zR4m34p3xiGQQhxHOda9qjrlgD45Yz+81m9GJDTVXnGl/rM0JA+upgs\ny5TSIAiWo42fqMzcf8wf2le7kAtr+2vDngg36S2ELJLJc2Htp4Uj79UuzoeVt2vDXIgNetOi\nS34KTdNkWXYcRwixRJ/gxkMI0TTN87zlbshyUhRFVVXP8xhb/CBzkzAMY2kPjKZpLmFt6FPc\nvFcDhecYtYwjEQEf+gGQYS7txEofO+G/kKjszMk57YMBj5BCUaUNtUxWIyEVAAAEZgx2+6xS\nH48XVVpSmSDgSmLGIE3F5Mj5oK8kz+qhJ/GCxnIaUaZSp84UNuXkCYtVFDZrhL1VKTukHTs1\nvzknj0XCosqmrLCvJF/o94+emN2aV0etsKCysQjbXFBOniy8e3Z005w9FnFKWjBq1zfP2vv7\nR08fH16XjU1EqgXdG4/Wt8ymTh/rHzyS7y1IUyYr6nwiIjZPS2cPTxwsHDrm5VYpdoNs9qrx\nl2rjw/VBNlJzs4YS82Uz1GJO5aItss70qclI0a5H6r7hle1KeixdHJ8R50Jl1guTMo/KYVo1\njlegJM5M1gY8rUvzG1W2TnP/KWuX6/77pYuDPu9USJNMVqthv1etMud0dr4BRJcstUh0nUQG\nHMcPQzo7LWybxxPCjrJkms7NCM68eVmJcCXG5AhXk8yflz/pxzconJTMdslsl81Wye7xCycA\n4GRV7tBZu87bdL7KYCcqN8twTs6nv5zR1lths8ZXm+x4RR6o3zCf/Zw3d7g+3qtlmpToeq3p\nV6VTs2Fl0SXPujOn3KkeLd2sxNbrjT8rHi2ylZnUEULoM928wY4wRoTEP3ZaT4gnCSKIgA9H\nB86JABAfXpyBUJjEyQeLChACQOYyv2pJRkHhEgQSv6q/QwISk1hI2VWFjIDEJe4TTuDKeCEj\nAAENfcIIwOUGh0QIX/YDEUqXCwkNKXge54wweqlQAHAifI8JRhkhlwoJcApenfnCly9XSAEo\ngMMc7nOgV314AhAKFnB+uXChH3zfhxCEdKn1YmGLAfE5KHAp/spEUAJByF0eypc7RAY47CoO\ncz3G1ctblwH2BSzwfcKYkC6PKUkSEYIKwUP4oEkUBAf4hCuKnHlw+YIdIQqIAEB4DJTLW1eo\n8G6a83BfACFwpecVIrwb50qsx0P18i1KEqEUiC8W/+Z8wWS4tM/IIFFCPBF+Ta1ECKHrzE0c\n7AzL0So6++gPXcibippjhuTDA3mQ8eFYTDODD0qJELEAckY57n9QGA2k40kWxPPRQMiMAAAR\nkPJg3qqYzV7E50ZIAUDmNOWJaqzY3AZmKGxfAgA9JHFfQKrS1qUYIY97MgGwfckOebTF61it\n53U94VLKIe5JVigaO/n6jkQi8GOuInESc5WTiXBjd6K1O1pRpbinKYymHP18stLd29S4WjVD\nHvWpwknSJYNxvnpzw/rImgoL88z1OZ8M67fpmR6rV27ReaBwR+KMsLpiNlVo2kh2xM1AkT2F\ncmrU9Wwmn2hrhjZJqge0zkgIcjF0e0xIQndSneFaOaSBICO+8rBdSdjaOqsxz5UiE64Q4wF5\n2BQpOdZtR6cBSly4XFxk/Nu6apkmiyVopUI8l4ShVMpzOyokWU1wVqXcJyIkYZlKNiMfu564\nQI508/okD6sirLPamGR1AZBVJp/waDUkdUbGXGmVeeOkm2uTUfiDKX/EkTxOcgHN+fQG+uxd\narLAnGxY80Qw5hfuifQ0KfaiS3ZrqWxYzbOaJ4IRP7fHXpuRI19zaxFC6Dpx886xY5yfmHjB\nL2xL+8yTrh6dk4cTJ3bPttZkGlwuJ0A25pv0HonYAAAgAElEQVT2t4zfORcNKAmJ0BhpdaRj\nqUDZ1F/ON64pSyqnCZ82ueLA2vEnH97w2lj+tjndDkmjS08k/aZ7Snfv3Pbc7IXbJyNJX2p0\nxRvtlQe+1dLX1fmr8oBWjWwp0LQvXuibe+qJ9R0tzS/UBmjV2pqnI1F2ePXE449ub2vIvFU+\nDZXI1gIdirLDG8a/cd+2plTiHbhYrNAd8+ZQqpZeU75709p0Q/Nx57BfUTfk7fPJUrBhbuO2\nHamMfTic90vymgIMJRnd4a/b2p5U0u0Ac0H2kJvbZTR8v+GRdrObRlXVrIpqAAByjJk7LSmu\nRZtSs8GoWw0FQBhzO+7MRJtSJEkCU4OqAADWpIq7dRIlmZjeHJaKLn/Xse+z64+ttaOW2mFk\nYjyfC+sUYJOu/2nzzpgSabDtJtcp+R4lZLOqPdrTY6iaiNhgWtTzgFLW1Br0rgVZkSOc6kL4\nlFDQGkOrx6efcEVRMluJEoGwAkTR0reZLY8QqrRpzJREhVGVwu3xYE/KVy6f0azsOXYSgVad\n1xjxBUko/I+b3fWRRQa9rs85dlFJX6M3FsI6AOlWU4/FNiRla9ElE5K5SksXwjoB0qc3PB7b\nEJX0L7o5nGMHOMcOAHCO3WU4x+7GRW7Eo1g2m72W1SmlyWTS9///9u48PqrqbBz4c87dZ5/J\nvpCVhB0SDCCbqCgKBa21WrdWqeDWWqvVtq/aT7W/1r5dtLXa+tYFW/HtW1u31n2pqCiKArKT\nAAlJSELWyex37np+fwxEZInBhSGZ5/sPc8+ce+4z996ceTj33Dt6d+P6P78Runp7ebuT9B+4\nW5C3INfoea4k/vXGMkY4lWM8Ix7dfidfs8a92dM9bnRn0bRebn2A63SFfbVtp02ds6tp10cf\naErUqYuGqyK8YE4dIcTQtZfe/Ujtl6hsnD6rNMuXl2p/Q/22tr1xb0CYUzuZo/vHnTr2dda3\n7CvO91WXlQ/EGY32N+zZVzEqN+DPHiiMJxK72/dWFBS4XZ6BQss0u/r687L8HH9QvmNZfT0d\nvpxCjvvE6Fa4P+71OwHA6XSapqlpms2smBl2C/6DRyltm1GTgfiJMV1m25am88onvzVtAANA\n+kSZZdm6YSvyJ/Ivy7YMsGQqHlJoWVbqftiDtsSYbRHuE6szG4DB0cbqPrm2Bcwmn7yJ0mJg\nMxA+OUjt9/sJIcFg8NMbHc50RgRgR7udIJXTxOPx4xvUkDDGDLDFIRx1BsxgQ6p5RG63W5Kk\nYDBo28NmUPMLRyl1u93hcDjdgaSToihOpzMSiei6nu5Y0ikQCHyxHWN2dvanV0JfhIxO7CKR\nSOvu157a5J3aUT2tz9I4oACyyV4uUvtGPadI2ca+sa6kS+eMqLfnlEnJMaPPAID+4J6tbe15\nXnl00WTKi5+6uRPWQGKX7kDSKUMSu8GdyIndcYOJHWBiBwCY2B2Aid3wNWxukfuSlIw+87tZ\nrf/e8fcHeyqEZMDkTOJuPWsUqx5zNeE4AGC6CrxE6JiBVfyB8rmB8qM3iRBCCCGUHpme2AGA\n4C85f9Y1AACmySgh9OSD3yWikp6wEEIIIYSOESZ2B+H5zPlBAoQQQgiNPJn7uBOEEEIIoREG\nR+wAAIhpgKaxRBgEiUgOW5IJxZQXIYQQQsNMZid2uq42v72rb9Wbpt2X9NtWHiWqRHuqpZ45\nzqqcooU0r/JYf3ESIYQQQihdMjSxY7Yd3fbSP/f8Y0v/olGh66ZEnKUJqSARJwDtDucWr/53\nX1t///OXNEWqxy4ngYJ0x4sQQggh9OkyMbFjur7jjf93T5erruXWWztoWKRhwQgLep+fUJsJ\ndmxKiJzSndfXes0Lxc2rrHu+XfINsbQu3VEjhBBCCH2KzEvsTHPjBz/7R9/8ZfUnu/VovZeZ\nJPU8UgIAFiUWhSTPemTwGNFv78p5OXHzb7SHf2Al5Yo56Q0cIYQQQmhwGZbYMdbx0Z+f7J17\nZf0MYkf3Oo/6qxscCbfnvvK8z9SYnyVz/qdh5ZVqr3v8uYBT7hBCCCF0osqsxM5q3/pAPz2j\neTZnx3rko2V1LOR/eo179Jjg179a7y1OxDoczt2uCx/r7WI9D1xTey7vLTquQSOEEEIIDU0m\nJXa2vabpLxX7bpoYSexxHTmrY8D25D4eMc/94WZPUKQhIbLNRyiLlsfItL6sDyOX3B//3xw5\nPxkPcJJemqPPm3gGxZ+mQAghhNCJIYMSO7trz0uJics6A51K7Gh1NM/L/daSy5p8u10sydv7\nJ94R0i9CWNYas9ZObv7a7G5Bp5RnbIOfrtzePHdOlIje1euDEHMxMVlQmlhQNy/Vmq4nGvc1\nFgbyvO7c4/QhEUIIIZTBMiix6+14PRA+OaDFd0tHrkDBfC3bdXl9cbMznuQ/OaRH4P28DZM7\nTy9Nalv9FgMLAAI6O78x9zFhz7iekvP7slUOeAZb2+RH93x08ZLKp1/ZXtRWNimYs8MDe7K2\nzznDNSq/ZN32zc3rJWfCoYm6OLpn0dyTAaAv0v/KG618VDFlbdosd1VRGQCoifjLb+2wQjJx\naWeeWu1xuwFAN8yX3tqkhwTRY5w1b7wsKQBgGtbL725O9FOHn509awIvCgCg68bra7ap/cSd\nZZ8xp4ZSAgCmZb24ZqsaIoF8eua0ialPpuv6K2s2qlGak09PmzZ1f6Fl/2NvW3vSPMnjOKMw\nP1VoGvrOtav1mO4vyS0df1Kq0DD019vX9hjRusDo8VnV+1c3rXe3NKmqWVHsH1uyf/Wkaa7q\n6YwaVq3PW+Xx7S/UErvr1xq6XlBSlZ9XkSpkpm51fERsjeaMI86cVGHMNt+M9mhgTVOySg6M\nkurJcHfzJmZZ/qIql694/8GyLNLfRxhjPj8TxEFOCTOW7K7fSQBYoVPwOFKFCSPZ2NfNAKqy\n8hRh/7nSaybXqv2UsdmuHA8V9n92Kx5OthCgPqWCo/s3ZKjBaO82wgnu3Ck8f8yjuSFTbTNC\nEuErpCyO7H9KNklYXMhiPLGyeaDHPMvT1npNdR8V3LyzNPV/lc9vn0Z7Dern7WLZHig0E+1M\nDxIxwDs+nq5A+02asG0ntX3DrLdhNhghDmzCuS1OOup83OEuYiX3GiEBaIWULR74LSJbI0aE\nIxwTfBbBh7UjNKwQxoZfh9Xb2/sZ1npr9S2dDTfP6uG6lCN/ZEF8b61r/Nda/c0u+5C3GNfa\nI+bX9CkdDgsYMLL/6zEhtlh28diw2OG0Uo26dFKWIH+ZsPGKrTUdDogJTDShKEleLu2rnKaq\nb+SPCQlRHmQLArr90rzdp9SN/fD/4rM6lTgPigWb/bpvUbSyoGDV3/pObXMlBFBMeD9Prb3Y\n4XK4Xl3ZcUarO8ETxWSriuLzLg0IgvjyyrYFrd4kpbJlvVIWWfytUsu2X3+s/bS9Lo0jsgWv\nlPcvuazCsKyX/7fj7GanxlHZsp8ZE7xyeW0w1P/qYx1n7HXrlMiW/cz4fRd9Y1JM1y/a1L5B\nK6VgWiBc4mu6e2JlIhbZ+cT68XsrTMpEm9s0dfNJ53wlnoxfU//0aprHgVWhd3/d7b96zDkR\nVfv3s3um7PVoFDb7xJyxPUvmjOvXkjdub383NoonVrXUc0ke+0ZJaSTSs/7514o6Ci1qdWf3\n+iYEppx0Jqjh+Hu/Tva9RYCXPJPlcZdyJTPaDfXHHTs+UHWOwHiRvyq7eIE7P9Lb3LTmIxYs\nZ8wigbb8CfkFo2eAmhC3bqItjQSIVVxijp9kH0giD6G29RkvdXu7FMYgkqdyC7KdZTnt4d6/\n7dr7XtTLgMx2hy4bU5bv9q9Xg7/uatqctBhjJzmEnxVUV4ruqLa3vvupfeG1FrNL/fPG518i\n875I96bdux7tSH5kM7vMNWfs5JtER87QT9Edya6XIjvWJ1p1Zp3tGXdpoE4mPN+hiztUvkUj\nFtMmOLQZbsYNvUnQ+z4Ibfkl4R3MSjpLv+4ovZCQQ9eXJInn+Xg8PsQ2X+8T/7RXcVCWsMi3\ni5NfydYIgUT7S7FdDxHewcyEu2q5UrQQGBO3qsqaCBMJ0Zg6z6uPO3HnLbjdbkmSgsGgbdsA\nwEwS2SbHm0SgTCkwHZWalGWlO8Yv3s5k9wvR7R/GW01mn+kZc1nWtHxvVndjLNEkqft4sImz\nQnNP0Cg//L4mPjNFUZxOZyQS0XU93bGkUyAQCAaDX2CD2dnZX2BraBDD7P/Qn0cn0z2GrHNH\n/Vtt8zYURU6J8ObhbzUE9ly4s3SH59CevcEXvWynsN1rDXR7MZGFdDKqr6pbIUHJAgBdhGZK\n5rd6XuYTZ/cLTe79jZiUl3YVvao2Lu4sb/DaDBgATAiJr63VG7PrF7SV13uZTRhhbEaX8tJ/\nWiSvfWZraYPHNilQRk7tcL3y9k5OgjNbSxs8zKSmYNOzWjwvvbMZdDZ/b2mDByxqCzY5u8m3\nau3mSIyc3VJU7wWTWrJJz9sZeO2DjZ17I2ftLav32hYBxaTnbS/4YNvWtwXnR8lRuVw3RyDJ\n+L+FKr8VDLK1749pn9DmC9pgy6bINecHO5ufiGx+l+aUsT7K7BCvPBntvzDR98b7XWPbfQ2B\nJCOQr5mxBjEyVXuso31tvKBK7KIEegzl/7oS5xQamz94M7crpyurixGQE3L/9j5jig4Nz2n9\na0XnJEKJmezQdj7pKJnxaF/L5qQ+VqBASbtpPBbsONOV177tIyuUD65WSsGOe7rr2wpGz+Bb\nm+m+Nju/CAih/X1c02675sjPIEy+2+Xqk2LZOiGgBKX4e71QlvNaa1u9Ktc6w8yGraryekvr\nZRP9K/r2NulmtcQBsG1J/ZHelrsKJ+4Jvh5SG3PdtQygM7reI48anb2kdc+TYa0lT5oAwDri\n692Nz5ZPWj7E89Nm7NVIfYcRnqIU2WC/Gd09Wsqe56gU65M0bJrFIjAQGxJWnmBUykNt04yH\nttwl+CZSwcNsM976L8EzTgzUDHH1I+rU6J/2KlPcpkKZZpNH2+WJLrPYbo7vfkgI1FBOtq1k\ndPdDgm+ilCxQ3ouaxRITCDGY8lbYLBRt77GkpemjtguJVkHKNwgBI0oTe0QxoI68e+Jfizbs\n1fprlCIG7J1YU6WUfZ4nK9EsGjEq55mMQaJVFHyWo9RId6QIoaHKlEF2Zpn9TFAsMI/eNfdI\ntmJI5pF2SZITAcA4/CuJSTol7JNtJsSET5cS3Mf/x9V422EJctKVOCiRjnOWVxMhoqg8S2V1\nABDnQVFdekhM8NQmDAAYIXGecAklGRJVnqbCswlLcMwMiVo/r3LEpAwADGqrHFX7OC0kqByx\nqA0ABmVJnoZ7QY8IKk9TNZO8rRPauS9pRiSVJxYBAFB52yCkfZ+6R7V5qnMEAEAmJmHW5nDM\nCpMkZ9hgA0CS1ycEc3r2trZoCZlplNkA4AZjp1S0M7xXjbCoYKf2SUIyJvY4Wrp721XmJFrq\nKqKP1zYni1viUSNmqKKWqmmIWklnUX9/mxXv5DgPoQQAKO9LBN+21dA+U3cRSF2F9FH6XsII\n2aaRsEGIp37UlwgJu2uCrkVJIm4rjtRTaWzZQdUEHGVMmosSQ7JSX9WmYnIxAIBenfk5AwAI\nBT/Re3UbALoMw5PaHUA8lOwzdQZMNfpkPgAABEDmA3G9x7aMpBmU+dQAIVGoV012HnHTRxSz\ntTdiuwKcAwAoUD+n9JpxotpCQ8J2cgAABJjC0fihw8mDsLUgEI4KHgAglOdEr6V9ltHug/UZ\nVKFMoQwAJMpcHOvRia31Ec5JORkAKCcTzmlrvSRmMokwgQAAEwgTCY0Nm0EvSyWcbKdOD062\nE80iM0ZaWpdk5qvRhtQpR4AEOEevFbd0SDSLVLYBgBDgFNtSM+VrAqGRIWP+YinnJXqSAseO\n2jtn6Zwq6PyRvjcVpgOAcNi3EgFNZIx8MnVQTCUs6or18YZEi8SprUoJ5aDRQIfFRSSduTTF\nhIEWHBaockLw6IppU0YAgABzWGA5NNmjKyajNgAAZUSxCOfRJY+l2IyzAQA4G2SLyV5TcJuy\nzVKr8xaRLOb2M96tKyZLfTrRIiKzs3Mkzm0oFqTalCwqAMsvlEZJxGRiajdojGOEm+BxUbct\nm3zqI0mmSACyRo0qFhWNSDYQAIiBUKW1V3qKZTe4TEoYAICsCVtzEyV52QUyJJiU+pRRS5wk\nt49yuEWHKBtSqk1BF1sL2n3+Is6Zy6xoKtG1jbDinwuSJ5cX4oylUrSIzWY4BR/leZkQY//E\nODAVkrtdlNxMcRBV3X90NNWWlaM9etB2MUHbn6pzGrWdDACyRBI292ffESYEBAIA2TwfPXBW\nxGzI5UUCROb9SSsEAIyBZoYcYhblBInzJa0IADAbknZUkY/hphkXlU5zjQ5ZaqrNsJ0McA4m\nU6NKoQkbAIAxkrRtxzGkF1T0M9tiRgwAgNm2EaFiYOirH5Gft1WLaBYBAMOGuEWyRMbJWbad\nAFsHALB1ZiU4KYu5eKKl5qMCMRkxmO0cNh0OJzM7SVN/lrZGHWU6FUba5UiZ8Ge6x6ROOQAW\nslQ/VTgRHKU6JCkAMAA7SbmjzF1BCJ2YuDvuuCPdMRyzRCJxrKsQQvr3/icYnFGWoPGjXH/2\nmtGdDu+UkBwWD+3I/DrZ4VbKYmIs1bkfmGPnsmL7JHdJXIjxdiqBcJq0QCVvl9TP6sgxKGdS\nJlt0VIK+MSpcflKyd5+zPMZTxvl1kqvZ2ye3nDa7fP0efXK/IFpcXhJ2+My8ucm6CaVrWqK1\nfaJs0QKVrM/Rpi1yT6gqWbUndFKv5DRJfpK8m6/OW1xUVZ6/qrmvrld2mTRfJf8ZFV2wZHT5\nqMDbLaG6XtFp0PwkvFEaPnNRdVmx742WyLQewWNw+Un23OjQBefVFOQpbzWH6nolt8Hlq/Zz\n1T1nzZ84ye14q3dfk1Gg2lKcub/mblpWUeQtyt+1p76it8hhSL6kY9OkLaOnTx/vKV7fvW4b\nyYlRMULdl8v09MKp+dmOtR1947qdLp3PU7n+SbGaqoIql7Kpv2urlh825ZDtuia/f1pWtifg\nb9y3Lb87X9blHd7+4upAcclYzjPK7m3SwhssIyg6K+Tqr3P+0jJR2ZQMbUtaIYsR4rg+K2+M\n7BbdUqin0Q6VMM2ZcDQVjxvlyS5hDheJR/mONhKPQU6eOXoMU448r8tygtERdXXLQoLGAzo/\nL0v0uwIibY/2b0x4Og1psiP+1YpRHtmRJfDb1UiDZvVZMF7mb8wpz+ZlRfDHtH3dsY1xvSPf\nW1eVvZinisx745E9Xdr2uN1VqNSWj7mCl9xDP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p/KuZR3cM7yZOcqS+0c+tYbNT2X47J5zklppSg8H4kGzYz+nj7RxPWu5uDrXqWC5xxO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\nSUVORK5CYII=",
1343 "text/plain": [
1344 "plot without title"
1345 ]
1346 },
1347 "metadata": {},
1348 "output_type": "display_data"
1349 }
1350 ],
1351 "source": [
1352 "ggplot(cvyf_xtab, aes(x=Number_of_Casualties, y=Number_of_Vehicles, size=n, color=yearf)) +\n",
1353 " geom_point(alpha=0.5) +\n",
1354 " scale_fill_hue(l=40)"
1355 ]
1356 },
1357 {
1358 "cell_type": "code",
1359 "execution_count": 13,
1360 "metadata": {},
1361 "outputs": [
1362 {
1363 "data": {
1364 "text/plain": [
1365 "\n",
1366 "Call:\n",
1367 "lm(formula = Number_of_Casualties ~ Number_of_Vehicles, data = cvy_xtab)\n",
1368 "\n",
1369 "Coefficients:\n",
1370 " (Intercept) Number_of_Vehicles \n",
1371 " 10.2691 -0.4065 \n"
1372 ]
1373 },
1374 "metadata": {},
1375 "output_type": "display_data"
1376 }
1377 ],
1378 "source": [
1379 "lm_all = lm(Number_of_Casualties~Number_of_Vehicles, data=cvy_xtab)\n",
1380 "lm_all"
1381 ]
1382 },
1383 {
1384 "cell_type": "code",
1385 "execution_count": 14,
1386 "metadata": {},
1387 "outputs": [
1388 {
1389 "data": {},
1390 "metadata": {},
1391 "output_type": "display_data"
1392 },
1393 {
1394 "data": {
1395 "image/png": 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JEjR5aXl2/fvt3n8wkhIpHI9ddfX1pa\neujQoaSkpBtvvPHvf//7F198YbVahRChUKhXr17Tp0//3e9+J4QYN27c22+/vWLFittuuy06\n83PPPTdr1qwvv/yyb9++nbEiMcQeOwAAkJBuuummjz/++NChQ0KIQ4cO/fWvfy0sLBRCnDhx\n4i9/+cvtt98eTXVCCIvFctddd9XX13/88cdCiGeeeaasrCya6oQQ9fX1qqoGAoHmmVNSUmbM\nmNHV6xMLBDsAAJCQpkyZouv666+/LoRYs2aNpmnR47B79+4VQjzwwAPSSaZMmSKEqKysFEL0\n6NHj+PHjL7zwQlFR0ciRI/1+/ylHLTIzM2U5ITMS7U4AAEBCGjx4cP/+/V977bU777zzpZde\nuuyyywYMGCCEiO6K+9d//dexY8ee8pLoAsuWLSsqKnK73ePHjy8oKFiyZMkNN9xw8mIOh6Or\nViLGCHYAACBRTZky5bHHHistLf3oo4+WLFkSHezXr58QQpbla6+9tnnJw4cP79u3LyUlpbGx\nsbi4+Oabb37uuedMJlP0WcOccZ6QuxkBAACEEDfddJOiKLfddpvJZJo2bVp00OPxjB49+ve/\n/330wKsQQtO0GTNmTJ8+3WKxlJeXh0Khyy67rDnVrV+//tixY8a4doo9dgAAIFENHTo0Jydn\n586dY8aMSU9Pbx5//PHHr7nmmiFDhkQz35tvvvnJJ5+88MILJpOpf//+fr//kUceqaysvOCC\nC/72t7+tXbvW7/e/9957K1eu/MlPfhK/tYkB9tgBAIAEFm1oF71sotmll15aWlp65ZVXrlq1\n6qmnnnI4HG+88cYtt9wihLBarW+99VZubu7SpUv//d///cSJEx9//PGaNWsGDhy4devW+KxD\n7NDHrvuij52gj50Qgj52Qgj62Akh6GMnhKCP3bcSpY9d1M9+9rOVK1cePXrU4/F03rskCvbY\nAQCARFVXV/fSSy9NnDiRVBfFOXYAACDxaJp23333ffDBBzU1NXfffXe8yzlfEOwAAEDi0XX9\nlVdeaWpqevLJJ3/wgx/Eu5zzBcEOAAAkHpPJ9PXXX8e7ivMO59gBAAAYBMEOAADAIDgUCwAA\nElIoFIptiyKbzSbLib3Pi2AHAAASkqqqqqrGcEKr1RrD2eIisWMpAAAAmhHsAAAADIJgBwAA\nYBAEOwAAAIMg2AEAABgEwQ4AAMAgCHYAAAAGQbADAABo2dGjR2+99daMjAyv1zt27NiysrLo\nuKIoRUVF2dnZmZmZc+bMCYVCZx4vKSmRTmKxWDqpYBoUAwAAY5JqTkhf7RcNDZLVqqf2VPtk\nS+b2JZ/CwsKqqqrVq1e7XK7f/OY3o0aN2rlzZ3p6elFR0dq1a3/7299aLJY777xz9uzZq1at\nEkK0Nr53794JEybcfffd3xQmSTFf2W9m1nW9k6buPFVVVR15uSzLPp8vHA7X1dXFqqRE5HK5\nFEVp/s9E9+T1eiVJqq6ujnch8WSz2cxmc2NjY7wLiSe3222z2aqrq2N7e6LEIsuy2+2ura2N\ndyHx5HA4XC5XXV1dOByOdy3x5PP5YvvFmJqaGsPZmgUCgTPceUI6UW164zXhSdEdDklVRe0J\nbdDF6iWXniFUOZ1Ok8nU/PDgwYN+v3/r1q0jRowQQkQikbS0tMWLFxcUFGRkZKxYsSI/P18I\nsW7dusmTJ1dUVNjt9hbHe/bsOWLEiGnTpt17772xXP+WsMcOAAAkMPP/rJQOVrTwhKoITRdS\nRXOOM+3/wvTOG0Jq4Tw0ZcrNevYFp06gqosWLRo2bFj0YSQSCQaDmqbt2rWroaFhzJgx0fHR\no0dHIpHt27e73e4Wx6+//vq9e/e+9957jz/+eCAQGDFixH/+53/279+/4+t+OoIdAABIYFI4\nLAWb2rp0qOU9fJKmnX4EMysr68EHH4z+HAgEZsyY4fP5pk6dumnTJqvVmpKSEn3KarV6vd5D\nhw55PJ4Wx6uqqqqrq2VZfvHFFxVF+fWvfz1q1Kjdu3d7PJ72rWobJGSwc7lcHXl5dB+syWTq\n4DyJzmKxmEwmczvPNjAYWZZFhz9Ric5kMsmy3M03QvQXwel0JuLZKbEiSRJfjNFPgt1u77xz\n2xOCJEnd/JNwMl3XX3jhhQceeCAnJ6e0tNTn8+m6fvrxXEVRWhtPSUmpqKhIT0+P/tEZOnRo\nRkbGG2+8cfPNN8e82oT8o64oSkdeHt3ouq53cJ5EZzKZNE3r5hsh+kvYzTdCVDffCNG/4tHv\n5XjXEjeyLPPFGP27q6pqN98OIqG+E7TsCyR3S7u+ak9I9fW6zfZN1NI0EQzqGZnCYj19Wd2V\n1OLklZWV+fn55eXlJSUl06dPj35C0tPTQ6FQfX292+0WQiiKUlNT4/f7PR5Pi+NmszkzM7N5\nzpSUlOzs7AMHDnR0zVuSkMGug+f7R/9VNE3r5tcNmM1mLp5wOp2iw58oY+jmG8FqtZrN5nA4\n3M0vnrBard38kyDLss1mi0Qi3fziCZfLFdtPQjTodBL12utafiIYlLf/Xf66XHc4dEWVA43K\n2Il6Tr+2z6zr+vjx4zMyMsrKypKTk5vHc3NznU7nxo0bJ02aJITYsmWLyWTKy8tzOBwtjr/x\nxhu//OUvN27c2KNHDyFEQ0PDgQMHBg4c2JG1bk1CBjsAAICzsNvVy67U/X2khgbdYtF69taT\nU9o1wYYNG0pLS+fPn79t27bmwQEDBvj9/pkzZxYXF/v9flmW582bV1BQkJaWJoRocfyaa645\nfvx4YWFhUVGRw+F4+OGHc3Jyxo8fH+P1FUIQ7AAAgFFJFoveJ/ucT7DYsWOHruuFhYUnDy5f\nvnzu3LlLlixZuHDh5MmTVVWdNGnS0qVLo8+2OO7xeNavX79gwYIpU6a4XK7rrrtu5cqVnXQe\nJ33sui/62An62Akh6GMnhKCPnRCCPnZCCPrYfcsYfezOwSl97BIRtxQDAAAwCIIdAACAQRDs\nAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAgaFAMAAASkt1uj+2E0ZuOJjSCHQAASEgG\nyGExR7ADAAAJqampKbZ3i7Hb7Yl+5wmCHQAASEi6rnfn2wC2iH2YAAAABkGwAwAAMAiCHQAA\ngEEQ7AAAAAyCYAcAAGAQBDsAAACDINgBAAAYBMEOAAAYlq5rauiEpgbP7eVHjx699dZbMzIy\nvF7v2LFjy8rKouOKohQVFWVnZ2dmZs6ZMycUCp15XAixcuXKyy+/3OPxXHfddXv37u3gerWG\nYAcAAIypqfLjE58uOfLXwppPl9Tv/x81VN3eGQoLC8vKylavXr1+/XqPxzNq1KjDhw8LIYqK\nil5++eVly5Y999xz77zzzuzZs6PLtza+cuXKu++++84773z99deFEBMnTlRVNXYr+h1J1/XO\nmLdTVVVVdeTlsiz7fL5wOFxXVxerkhKRy+VSFOXk/0x0Q16vV5Kk6up2/6obic1mM5vNjY2N\n8S4kntxut81mq66u7s5d7GVZdrvdtbW18S4knhwOh8vlqqurC4fD8a4lnnw+X2y/GFNTU2M4\nW7NAIKCqqhI4rGst/C0Lndh1YvdT1qRs2ZqsaxElcNDmuzQpe4pssp6+sMneWzY7nE7nybcU\nO3jwoN/v37p164gRI4QQkUgkLS1t8eLFBQUFGRkZK1asyM/PF0KsW7du8uTJFRUVdru9xfHU\n1NSBAwfefffdd911lxDiwIEDCxYsePzxx7Ozs2O+TbilGAAASGBHNs9oqvyotWeDJz3VeHB9\n9c6SFhfLHP26M33UKYOqqi5atGjYsGHRh5FIJBgMapq2a9euhoaGMWPGRMdHjx4diUS2b9/u\ndrtbHO/Tp8++fftuvPFGTdOqqqr69OmzZs2ac17fM+NQLAAAQAuysrIefPBBm80mhAgEAjNm\nzPD5fFOnTj18+LDVak1JSYkuZrVavV7voUOHWhuvqKgwm82rV69OSUnp3bt3Zmbm2rVrO6lm\ngh0AAECrdF1ftWrVwIEDjx07Vlpa6vP5dF2XJOmUxRRFaW28qqpKUZQPPvhg586dtbW1d911\n18033/zZZ591RrUcigUAAAksuf9PXf5xp4+Ha/eEjn9isvcWskkIoUUaZIvHnnqZbHaevrDV\nfWGLk1dWVubn55eXl5eUlEyfPl2WZSFEenp6KBSqr693u91CCEVRampq/H6/x+NpcdxsNgsh\n/u///b/p6elCiF/84he/+93v1q9fP2jQoJhthW8R7AAAQAJz50xrcVxXQ/Vfrqn/co1sThJa\nxJH5A5d/nM2b2/aZdV0fP358RkZGWVlZcnJy83hubq7T6dy4ceOkSZOEEFu2bDGZTHl5eQ6H\no8VxRVFkWa6pqYkGO0VRmpqamo/YxhbBDgAAGJBksrkvKHT0vlppOiqbHBb3BbIlqV0zbNiw\nobS0dP78+du2bWseHDBggN/vnzlzZnFxsd/vl2V53rx5BQUFaWlpQojWxqdMmXLLLbc89thj\nycnJS5YsMZvN0fAXcwQ7AABgTJIkWZKyLUnZ5/byHTt26LpeWFh48uDy5cvnzp27ZMmShQsX\nTp48WVXVSZMmLV26NPpsa+MrV66cP3/+bbfd1tjYePXVV2/atMnn83VgzVpFH7vuiz52gj52\nQgj62Akh6GMnhKCPnRCCPnbfSqw+djGc8JQ+domIq2IBAAAMgmAHAABgEAQ7AAAAgyDYAQAA\nGATBDgAAwCAIdgAAAAZBsAMAADAIGhQDAICE5HQ6Y9uOV5KkGM4WF+yxAwAACSkRb7LQ2dhj\nBwAAElJTUxN3njgFe+wAAAAMgmAHAABgEAQ7AAAAgyDYAQAAGATBDgAAwCAIdgAAAAZBsAMA\nADAIgh0AAIBBEOwAAIBhNUWOVzV8VtP0paqFz+HlR48evfXWWzMyMrxe79ixY8vKyqLjiqIU\nFRVlZ2dnZmbOmTMnFAqdYXzt2rXSaW677bZYrePJuPMEAAAwIE1T/ln55vaKZ0yyXdMjF6SO\nuajnhBRHTrsmKSwsrKqqWr16tcvl+s1vfjNq1KidO3emp6cXFRWtXbv2t7/9rcViufPOO2fP\nnr1q1SohRIvjV1999dtvv908Z1NT02233TZp0qQYr7AQQggpEe+zVlVV1ZGXy7Ls8/nC4XBd\nXV2sSkpELpdLUZTm/2R0T16vV5Kk6urqeBcSTzabzWw2NzY2xruQeHK73Tabrbq6WtO0eNcS\nN7Isu93u2traeBcSTw6Hw+Vy1dXVhcPnsnfHMHw+X2y/GFNTU2M4W7NAIKCq6tfVfw1Ejp/+\nbGXDri+q3vHY/SbZqgsRDB9PsqVl9xhtlu2nL9zH+32XtdcptxQ7ePCg3+/funXriBEjhBCR\nSCQtLW3x4sUFBQUZGRkrVqzIz88XQqxbt27y5MkVFRV2u73F8Z49e578XnfeeafVal26dGls\nt0YUe+xiQ9cieqRGmJyy2RXvWgAA6EY27/+PgzUftfbssfodJz/cfeSVFhebOvR1l2/UKYOq\nqi5atGjYsGHRh5FIJBgMapq2a9euhoaGMWPGRMdHjx4diUS2b9/udrtbHL/++uub53z33XfX\nr1+/e/fudq5lWxHsYkBp2B+oeLPpyPtCF8mD7rL1Hi1JUryLAgAAHZKVlfXggw9Gfw4EAjNm\nzPD5fFOnTt20aZPVak1JSYk+ZbVavV7voUOHPB5Pi+PNE6qqumDBgpKSEpvN1kk1c/FER2lq\nOHDgz0rDF7bUq6y+IXX7nlbq9sS7KAAAEBu6rq9atWrgwIHHjh0rLS31+Xy6rp++B0dRlNbG\nm39+4YUXTCZT9EBtJ2GPXUdpoarQsb9YelwpSUIyu2RbDyVQYUkeFO+6AADoFkb3fzQYqTl9\nvLJh12dH13rsWRaTQ9e1xtCxFGd2v9RxJrmFvWW93UNanLyysjI/P7+8vLykpGT69OmyLAsh\n0tPTQ6FQfX292+0WQiiKUlNT4/f7PR5Pi+PNsz355JN33HFHTNa6NQS7jpLNLl3XhB4Skk0I\noStNEqfZAQDQVdI8l7Y43td3bWrSoEO12ypqP9Q1tX+vSf16TvDYM9s+s67r48ePz8jIKCsr\nS05Obh7Pzc11Op0bN26MXtm6ZcsWk8mUl5fncDhaHI++6oMPPvjss89uvvnmcwpx0EoAACAA\nSURBVF/VNiDYdZRsTU7qN7OhfLXJ2kNXA7Yel1tTLo53UQAAdHeSJOf0uM6fMuLiyM0m2e60\npEpS+85A27BhQ2lp6fz587dt29Y8OGDAAL/fP3PmzOLiYr/fL8vyvHnzCgoK0tLShBCtjQsh\nXnvttSuuuOLkgNgZCHYx4MiYYHZlKY0VssVt9Q2VLe54VwQAAIQQwmJyWkxZ5/baHTt26Lpe\nWFh48uDy5cvnzp27ZMmShQsXTp48WVXVSZMmNfcuaW1cCPHWW29NmTLlnFekjehj133Rx07Q\nx04IQR87IQR97IQQ9LETQtDH7luJ1ccuhhOe0scuEXFVLAAAgEEQ7AAAAAyCYAcAAGAQBDsA\nAACDINgBAAAYBMEOAADAIAh2AAAABkGDYgAAkJCcTme8SzjvEOwAAEBCim13YiGELMuSJMV2\nzi5GsAMAAAkpFApx54lTcI4dAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAg\nCHYAAAAGQbADAAAwCIIdAAAwJlXXdgUObazb91HDl1WRhnOY4ejRo7feemtGRobX6x07dmxZ\nWVl0XFGUoqKi7OzszMzMOXPmhEKhM49H50lLS0tNTZ02bdqBAwdisoKnI9gBAAADCmjhFZUf\n/lvFm3+o+tuyI5tWVH5U2tjuOFVYWFhWVrZ69er169d7PJ5Ro0YdPnxYCFFUVPTyyy8vW7bs\nueeee+edd2bPnh1dvrXxqVOnfv75508//fTKlSuPHTs2ceLEGK7pySRd1ztp6s5TVVXVkZfL\nsuzz+cLhcF1dXaxKSkQul0tRlOb/THRPXq9XkqTq6up4FxJPNpvNbDY3NjbGu5B4crvdNput\nurpa07R41xI3siy73e7a2tp4FxJPDofD5XLV1dWFw+F41xJPPp8vtl+MqampMZytWSAQUFX1\n2WMfHAjXnP7svuCxvcFjqWZX9GFIUxyyZbAz3SXbTl/41p7DL7SlnnJLsYMHD/r9/q1bt44Y\nMUIIEYlE0tLSFi9eXFBQkJGRsWLFivz8fCHEunXrJk+eXFFRYbfbWxx3u91Op3P9+vVjxowR\nQnzwwQff//73jxw50rt375hvE+4VCwAAEtgr1ds/aviytWc/F5UnP/ygobzFxa719LvQdmr6\nVFV10aJFw4YNiz6MRCLBYFDTtF27djU0NERTmhBi9OjRkUhk+/btbre7xfHrr7/+6quvfvbZ\nZ7Oyssxm89NPP33JJZd0RqoTBDsAAIAWZWVlPfjgg9GfA4HAjBkzfD7f1KlTN23aZLVaU1JS\nok9ZrVav13vo0CGPx9PiuBBi7dq1gwYNeuWVV4QQHo/n008/7aSaOccOAACgVbqur1q1auDA\ngceOHSstLfX5fLquS5J0ymKKorQ23tjYOHr06Oi1F59++un06dOvu+66EydOdEa17LEDAAAJ\n7LX+sxS9hbNj9zQdfejgW31tPo/JoehaRfjE1Un9ClKHmaUW9mq5ZGuLk1dWVubn55eXl5eU\nlEyfPl2WZSFEenp6KBSqr693u91CCEVRampq/H6/x+NpcXzdunVffvnlJ598YjabhRBPP/20\n3+//05/+NGPGjBhuhyiCHQAASGBJLV0MIYS4Min70T6Tt9R/UaM2mYR0jfvC0ckDWlu4Rbqu\njx8/PiMjo6ysLDk5uXk8NzfX6XRu3Lhx0qRJQogtW7aYTKa8vDyHw9Hi+IYNGzRNa742S9M0\nVVU76eJFgh0AADCmi50ZFzszQppikUzyaQdJz2rDhg2lpaXz58/ftm1b8+CAAQP8fv/MmTOL\ni4v9fr8sy/PmzSsoKEhLSxNCtDg+duzY5OTkgoKC++67T5Kkp556SlXVTup4QrADAABGZpPP\nMe3s2LFD1/XCwsKTB5cvXz537twlS5YsXLhw8uTJqqpOmjRp6dKl0WdbHPf5fBs3bvzXf/3X\niRMnqqp61VVXbdy4MT09vYPr1SL62HVf9LET9LETQtDHTghBHzshBH3shBD0sftWYvWxi+GE\np/SxS0RcFQsAAGAQ57hzUlXVdevWaZo2cuRIj8fT9hfW1NQ8//zz//jHP8Lh8IABA37yk59k\nZ2dHJ/zDH/7wwQcfKIoyfPjw2bNnWyyWc6sNAACge2rrHrvGxsbZs2cPGDAg+nDy5MkTJ068\n4YYbLr300q+//rrt7/fEE098+eWXCxcu/NWvfuVwOO6///5oH5cVK1Zs3rz59ttvv+eee7Zv\n3758+fL2rgkAAEA319Zg9+CDDz777LN5eXlCiA8//PCNN96YNWvWn/70p5qamv/4j/9o4yTH\njx/fsWPHz372s4svvrh///4LFy4UQvztb39ramp69913Z82aNXz48KFDh86ZM2fz5s2GPM9D\namyw7Nxu/fCvlk/+Jh+vPPsLYvvu1cctn/zN+uFfLWWfSPXd+vxCAAAMqa2HYteuXfujH/3o\n5ZdfFkK88cYbNpvtN7/5TXJy8uTJk99///02TqJpWkFBwYUXXhh9qChKOBzWNO2rr74KBoPR\n1CiEGDJkiKqq+/fvv/TSS9u5Ouc3VTV/tlM+cki4kqTaGikUjFzi0F1JXfPmUlPAum+3OFEt\n7Ha5ukoKBvUeqaL9134DAIDzVluD3ZEjR376059Gf96yZcvw4cOjnfoGDBjw4osvtnGSnj17\nFhQURH8OhUJLly51u91XX331rl27zGazy+X6piazOSkp6eTrcebPn79jx47ozxdeeOHvf//7\nNr7jGVit1h49enR8nrbTTxxXDnwl982JxintyCGXGpG7qgbt63q1ukpOzxRCiBSv9vWXpmBA\n7tk7KamLkuX5KXrvly7+JJyf7HZ7vEuIp+gnwev1xruQOJMkiV8HIUT0tgHdGZ+ExNXWYJeZ\nmfmPf/xDCFFRUbF169Z/+7d/i45/+umnPXv2bNdb6rq+cePG//7v/+7du/eSJUvcbneL91Y7\n+QJmp9PZ/Gvmcrk63o/AZDLput7FfQ10XQihf9dfRtd0IbqsBl0IoWnRd9eF0DVNkmRd1xOx\n300MRS9r784dLoQQkiRJktTNN4Isy2yE6PcwG0GSJL4bTSZTbD8JndRDxGw2R+/xFSunp5GE\n09ZgN2XKlCeeeGLevHmbN2/WdX3q1KmBQOB3v/vdq6++Gr1vRhvV1tY++uijR48enTFjxjXX\nXBPdgj6fLxKJNDU1ORwOIYSqqg0NDSf3vHn44YdPniQmfewikUgX97HTNdXa90LzgS81V5IU\nCuk9eoUsNtE59wA+nWS2mFN7mQ4f1Gx2ubFRy8rRHE6lsZE+dpIkddKdmBMFfezEt33samtr\nu3OsoY+d+LaPXUNDA33sYvvF2El97KzWlm/w2p21Ndjdf//9e/bseeqpp4QQDz300KBBg/bu\n3btgwYKcnJyHHnqojZPouv6rX/3K5/MtW7bM6XQ2j2dlZdlstp07dw4fPlwIsXv3blmWc3Jy\n2rku5ztJNinfu0QkuUVDnW6zq32yhcN59pfFiG6zK7lD9K+/lENBpU9fJSvHYjIJRemyAgAA\niK1IJBLbfasx3wXY9doa7Nxu9+uvv15XVydJUvSoaFpa2nvvvXfllVc2nxt3VmVlZV988cUN\nN9zwz3/+s3kwMzMzNTX1uuuue/7553v06CFJ0rPPPnvttdca8mQX3W6P9B8Ut3d3e5TcS+L1\n7gAAxFYkEontnScS/bYTor0NimVZ/vjjjysrK0eOHJmSkjJy5Mh2bYLy8nJd15944omTB++4\n444JEybMmjVrxYoVDz/8sKZpV1xxxaxZs9pVGAAAANpxr9hnnnmmqKiovr5eCLFp0yYhREFB\nweOPP37KzXG7APeKjQnuFSu4V6wQgnPshBDcK1YIwTl2QgjuFfst7hWbuNp6IPnNN9+84447\nhg0btnbt2uhI//79c3Nzb7nllrfeeqvTygMAAEBbtfVQbElJyeDBg999912z+ZuXpKenr1+/\n/vLLLy8pKRk/fnynVQgAAIA2aeseux07dkyZMqU51X3zYlmeMGHCzp07O6EwAAAAtE9bg53X\n6w0Gg6ePK4pCh24AAIDzQVuD3RVXXLFq1apT2hUeO3Zs5cqVl112WScUBgAAgPZpa7B79NFH\n6+rq8vLyHnnkESHE22+//ctf/jI3N7e+vv7RRx/tzAoBAADQJm0Ndjk5OZs3b87Ozr7//vuF\nECUlJYsXLx4yZMhf//rXiy66qDMrBAAAOBf1qvp+XcP/VJ/444ma3U1N5zDD0aNHb7311oyM\nDK/XO3bs2LKysui4oihFRUXZ2dmZmZlz5sxp7h3W2vjXX389bdq0nj179unTZ+bMmZ3XcK0d\n980YMmTIX/7yl+PHj3/44YelpaW1tbXvvffepZde2kmVAQAAnLMqRfl95fHnjx/fWt/4dm39\nLw4eWVfb7jhVWFhYVla2evXq9evXezyeUaNGHT58WAhRVFT08ssvL1u27LnnnnvnnXdmz54d\nXb7F8cbGxlGjRgUCgT//+c8vvPDCnj17brzxxtiubLN2NCg+f9CgOCZoUCxoUCyEoEGxEIIG\nxUIIGhQLIWhQ/K3EalD88wOH9gRb+Ft2KBypUVWHLEUfarqo19QBdrujpbvB/iozLc/pOKVB\n8cGDB/1+/9atW0eMGCGEiEQiaWlpixcvLigoyMjIWLFiRX5+vhBi3bp1kydPrqiosNvtLY5v\n3ry5sLDw+PHjTqdTCFFRUdGnT5+ysrKLL7445tvkTH3sfvCDH7Rxls2bN8eiGAAAgPbZHmj6\nqKGt/zVtbcl7e/c8fVBV1UWLFg0bNiz6MBKJBINBTdN27drV0NAwZsyY6Pjo0aMjkcj27dvd\nbneL47W1tVar1eFwRMe9Xq8sy7t27eqMYNeOQ7EwqoqgvLvBfDzChwEAgO9kZWU9+OCDNptN\nCBEIBGbMmOHz+aZOnXr48GGr1ZqSkhJdzGq1er3eQ4cOtTY+atQoRVHuv//+2traQ4cOzZkz\nR9O0o0ePdkbNZ9pjx344w9OFeP2YbdVBu92kN6nSfTmBq1Ii8S4KAIB2SLdYsm3W08frVS2k\na2bpm0OxuhBhTfeZTZZvR07WfMT2dLquv/DCCw888EBOTk5paanP59N1XTptEkVRWhvv27fv\nK6+8MmfOnMWLF9tstuLiYq/X20mHp9t6SzEhRF1d3auvvtq3b9/Ro0cLIV566aXy8vI77rjD\n5/N1RmXoAnvq5dWHrUM9Eass6lXpsXLn84PrUiyJd9olAKDb+sMFWS2OV4TCc76q6GUxe02m\niNAPhiIFqd6bUpJPz15nUFlZmZ+fX15eXlJSMn36dFmWhRDp6emhUKi+vj56jwZFUWpqavx+\nv8fjaXFcCDFhwoQDBw4cPny4R48eiqI8/PDD0fGYa+vRty+//PLSSy/96U9/+sknn0RHDhw4\n8Mtf/nLIkCFff/11Z1SGLlAZljwmzSoLIYTbpFslvYoDsgAAQ/DbrCtysiamePo7bJe5nPel\n9/o/7Ux1uq6PHz8+OTm5rKzs5ptvlr+96iI3N9fpdG7cuDH6cMuWLSaTKS8vr7XxY8eOFRQU\n7NmzJz093Wq1vv7666mpqdELMmKurXvsfvGLX1RVVb399tvXX399dKS4uHjMmDFjx469//77\nX3jhhc4oDp3Na9EbVEnVhUkSTaoU1iUfu+sAAEbRy2L+P96Uc375hg0bSktL58+fv23btubB\nAQMG+P3+mTNnFhcX+/1+WZbnzZtXUFCQlpYmhGhtfM+ePbNmzfr1r39dXV1977333nfffVZr\nC4ePO66twW7Tpk2zZ8/+l3/5l5MH8/LyZs+e/Yc//KETCkNX+J5bm9Qr/L/HrC6TqFWkO7Oa\nfJbu2+sBAICT7dixQ9f1wsLCkweXL18+d+7cJUuWLFy4cPLkyaqqTpo0aenSpdFnWxv/4x//\n+LOf/eyGG26I3uth3rx5nVRzW/vY+Xy+efPm/fu///sp4w8//PATTzzRxW3A6GMXE9E+dk3B\n0L6AqVaR06xaX4ca76K6Gn3sBH3shBD0sRNC0MdOCEEfu28lVh+7GE54Sh+7RNTWE6qGDRu2\ndu3apv//dhyhUOjVV1/Ny8vrhMLQRWRJDHSpVyRHumGqAwDAYNp6KHbRokUjR4686qqr7r33\n3kGDBpnN5r179z755JM7dux45513OrVEAAAAtEVbg933v//9tWvXLliwYObMmc2D6enpq1at\nuu666zqnNgAAALRDO/rYTZo0ady4cdu3b//888/D4XC/fv2GDh0avesZAAAA4q4dwU4IYbFY\nhg8fPnz48E6qBgAAAOfsLMFOkqS0tLTDhw9ffvnlZ1js73//e0yrAgAAQLudJdilpaX17NlT\ndNqFygAAAOfGarW2sWtbGzXfWyJxnSXYHT58OPrDunXrOr8YAACAtjKb23dGWXfAFgEAAAkp\nFArFtqm4zWZL9J12bQ12tbW1Cxcu3LBhQyAQOP3Z5h17AAAAXUNV1djeeaKT7t/aldoa7BYs\nWLBixYq8vLyrr7460cMsAACAIbU12L3xxhs33XTTmjVrJEnq1IIAAABwbtq6703TtHHjxpHq\nAAAAzltt3WN3xRVXlJWVdWopiUtShbm8Sa5RdZukZNs1t6nVJRVFrvhKaqjXbXbNn6U7Ouu+\nHVIwKFd8JQeDusul+rN0S8KfNAAAAM6qrcHuqaeeGjly5ODBg2fOnGkytRpcuiNdt25vtJUF\nNLcshXVzpdJ0RZLuamkT6bp5d5npi326wymHQ0p1lZJ3uW6zxbwiSVHMu7abDx7QbHapqUk6\nUR0ZMkzwrwYAgNGdKdidcrcJVVVvv/32BQsWZGdn2+32k5/qzneekAKa/e+NkRyrkCUhhLki\nbM6KRPq1kKKkhnrzZ7vUzD5CklQhTAcrVH9fPbNPzEuSTxw3f7Vf7Z0hJElPcpu/2KfkXKh7\ne8T8jQAAwHnlTMHulLtNpKamXnLJJZ1cT+KRVCEkvflkRd0kJKXlLtiSpgpZEt+epyiZZUlV\nOqMkPRLRZfM3byRJQpYlVY1lZ24AAHBeOlOw424TbaElyeFBTvOhsJZiEiFNblDVHi1vVT3J\nrWTlyNXHdZdLCoelpqCW4u2MkvQUr5aWLjfUaTa7FAhomVm6O7kz3ggAAGM7evRocXHxe++9\n19TUdMUVVzz22GPRnVyKovz85z9fu3ZtJBKZOHHik08+aTvp3KpwOJyenr5v374ePb45XHbm\n5WOofR3pGhoa3n///ZdeeunIkSPBYDC2XQETlSyF8pyRPlbzlyHdYwn8i1ftaWlxQd1kVgcO\n1nulmQ5V6G5P6NrRuielMyrSnS6l3wDV4zUdqtBTe0b6D+qMM/kAADjPfdUk/3eF5T/3W5/+\nyrrxuDnU/thSWFhYVla2evXq9evXezyeUaNGRW/KUFRU9PLLLy9btuy555575513Zs+eHV0+\nGAxu2LDhxz/+cXV19cnztLZ8zEltv3vuM888U1RUVF9fL4TYtGmTEKKgoODxxx8vLCzspOJa\nU1VV1ZGXy7Ls8/nC4XBdXV2sShJCSBFdN0uiDQ1hJCWim8yik3vH6LouK4puaTllCiFcLpei\nKKFQqFPLOM95vV5Jkk759etubDab2WxubGyMdyHx5Ha7bTZbdXV1bG9PlFhkWXa73bW1tfEu\nJJ4cDofL5aqrqwuHw/GuJZ58Pl9svxhPObkrVgKBwBn2MZUH5Lt32f0OPcWsR3RxoEm6IU0p\nyIjIrf/5dTqdJ18hevDgQb/fv3Xr1hEjRgghIpFIWlra4sWLCwoKMjIyVqxYkZ+fL4RYt27d\n5MmTKyoqevbs+fjjjz/11FPhcPjYsWNVVVXRPXb19fWtLR+7jfGNtl4V++abb95xxx3XXnvt\n3XfffdNNNwkh+vfvn5ube8stt3i93vHjx8e8soSjW9oa1HRzq2ErhiRJOkOqAwDAGG78u2Nb\nbQvXLIY0SdWFXPPdyHtV5vt220wt/bn+70ubrulxakZUVXXRokXDhg2LPoxEIsFgUNO0Xbt2\nNTQ0jBkzJjo+evToSCSyffv266+/vri4uLi4uLS09LLLLmue5wzLn/Nat6atwa6kpGTw4MHv\nvvuu2fzNS9LT09evX3/55ZeXlJQQ7AAAQFw0qFJNpK37Vuq1lpdU9BbGs7KyHnzwwejPgUBg\nxowZPp9v6tSpmzZtslqtKSnfnE9ltVq9Xu+hQ4dae9PDhw+3a/mOaOs5djt27JgyZUpzqvvm\nxbI8YcKEnTt3dkJhAAAA8afr+qpVqwYOHHjs2LHS0lKfz6fr+un34lKUVjtdtHf5jmjrHjuv\n1xsMBk8fVxTF7XbHtCQAAIC2uqaHmm5v4YKBr5ukIyHZbdKjp7+ruqiJSEOTVWdLDft7WVs+\nv7aysjI/P7+8vLykpGT69OmyLAsh0tPTQ6FQfX19NAIpilJTU+P3+1ursL3Ld0Q7bim2atWq\n4uJir/e7Dh3Hjh1buXLllVde2RmVAQAAnNUDF7V8FWBtRPpDhWXrCVOKRURUURmRnhgUHJna\njitjdV0fP358RkZGWVlZcvJ3jcNyc3OdTufGjRsnTZokhNiyZYvJZMrLy2ttnvYu3xFtDXaP\nPvrokCFD8vLy7rjjDiHE22+/vX79+meeeSYYDD766KOdURkAAMA5S7bot2eFL08xHQtJDpMY\nmKRlOdp32fuGDRtKS0vnz5+/bdu25sEBAwb4/f6ZM2cWFxf7/X5ZlufNm1dQUJCWltZqJcnJ\n7Vq+I9oa7HJycjZv3nzPPffcf//9QoiSkhIhxOjRox9//PGLLrqoMyoDAADoCLtJXOU99567\nO3bs0HX9lLZuy5cvnzt37pIlSxYuXDh58mRVVSdNmrR06dIzT9Xe5c/ZmfrYFRYW5ufnjx07\n9uQ7w1ZXV+/bt89qtfbr18/j8XRSWWd2fvaxSzj0sRP0sRNC0MdOCEEfOyEEfeyEEPSx+5Yx\n+tidg1P62CWiM+2xe/HFF1988cWkpKSJEydGE57D4fD5fJxUBwAAcB46U7uTPXv2RNvXvfTS\nSzfeeGOvXr0KCgpee+21pqamLqsPAAAAbXSmYDdgwICf//znH3744cGDB59++umrr776tdde\nu+mmm3r27Dlt2rRXX301EAh0WaEAAAA4szY1KE5PT7/jjjvWrVtXWVn50ksvTZw48e23387P\nz+/Zs+fUqVPXrFnT2VUCAADgrNp654koj8czbdq0//mf/6msrFy3bt3QoUPXrFkzderUTiqu\nS+m6FAxKaqe0gQYAAOgCbW13crKysrI1a9asWbNm7969Qojc3NxYV9XVpIZ6y77PTPt2q1k5\nWu905YKLxGm3/gAAADjPtSPY/eMf/4jmuX/+859CiH79+j3wwAPTp09P9GCn67p132fy4Qol\nM0sKhcyf/E13udS0zHjXBQAA0D5nD3affPJJNM998cUXQoisrKzi4uLp06cPHTq088vrCnI4\nZNq3W83MkmRZWK3C5ZJqawTBDgCA89vJfXZjInor2IR2pmD385//fM2aNeXl5UKI9PT0e+65\nZ9q0aVdddZVkrMOUutmiZuWIUEhYrUIIXVGF2RLvogAAwFkYIIfF3JmC3WOPPZaamnrHHXdM\nmzbt2muvNezmM5nUXmmW7X8XSUl6RBG9eqtpGfGuCQAAnEVTU1Ns7xZjt9uNfOeJdevWXXfd\ndWZzW8/D++Uvf/nII4/Eoqqupl7YXyQlSSdOCKtVTcvQXUnxrggAAJyFruvd+TaALTrTTrix\nY8e2PdUJIZ5//vkO1xMnkqSmZSqDBisX9ifVAQCABGXQo6sAAADdD8EOAADAIAh2AAAABkGw\nAwAAMAiCHQAAgEEQ7AAAAAyCYAcAAAxL14UalDTlHF9+9OjRW2+9NSMjw+v1jh07tqysLDqu\nKEpRUVF2dnZmZuacOXNCodDJrwqHwz169Dh+/Pgps7U2HkMEOwAAYEyBg6bjH1sP/NFx/GNb\n7acWtand90QtLCwsKytbvXr1+vXrPR7PqFGjDh8+LIQoKip6+eWXly1b9txzz73zzjuzZ8+O\nLh8MBjds2PDjH/+4urr65HlaG4+5dvQfBgAAON9EGiShtpDYgpXy8Y+tFq/u6KkpjVLTYUu4\nRvYMjMgtZR+TU5NPu1H8wYMH33///a1bt44YMUIIsXr16rS0tD//+c8FBQUrVqxYsWLFxIkT\nhRD/9V//NXny5CeeeKJnz57Lli176qmnwuHwKVO1Nh5zZwp2N95449133/3DH/5QCDFu3LjH\nHnvs4osvPsPyjz76aIyrAwAAOKOK/3UEDrZ+g9eD3/1Yv990bKu1xaWypza5sk89Xquq6qJF\ni4YNGxZ9GIlEgsGgpmm7du1qaGgYM2ZMdHz06NGRSGT79u3XX399cXFxcXFxaWnpZZdddvJU\nrY3H3JmC3fvvvy9JUmZmps1me/vtt3/yk594PJ4Wl+zbt68Q4tZbb+2UGgEAALpcVlbWgw8+\nGP05EAjMmDHD5/NNnTp106ZNVqs1JSUl+pTVavV6vYcOHYpfpd85U7CbMWPGsmXLXnvttejD\n6dOnt7akrusxrgsAAOA8oOv6Cy+88MADD+Tk5JSWlvp8Pl3XJenUg7+Kcq4XaMTUmYLdU089\ndeONN+7fv1/X9VmzZhUXFw8YMKDLKutidcGva4NfmWV7z6TBZtkRHTRVK3J1RLfIaoZVt3zz\nT6g0lCuBCsnktKYMlky2dr2LpmnvNR77Z7C+l8U2ISndaT7teH6MqLq2O3jkhNrU05w0wNZL\nPu3zBwCAMfgujbj7tRCqQlVy0xGTOUmP/g3UwkK26Y50Tba0sDfK6tVanLyysjI/P7+8vLyk\npGT69OmyLAsh0tPTQ6FQfX292+0WQiiKUlNT4/f7Y7hS5+wsF0+MHDly5MiRQojoodjvfe97\nXVFUlztY+9HHXz9mM3tVLZSZfOXgtFttZo/l86Dz/RrNaZIieuRCe/AqAgCX0QAAIABJREFU\nt26Vmo5sqt/7lMnq1dQme69rki6cIZkcbX+j/zi2579r6h2SHtKld5zHn/Rf7GzxHM6OUXXt\npROf/Klul1uy1arB6b6hNyZfcvr/LQAAMIDk70VaHNcUUfeZpfYzi2zRhSacF6rufoq9Z8sB\nrkW6ro8fPz4jI6OsrCw5Obl5PDc31+l0bty4cdKkSUKILVu2mEymvLy8Dq5ITLQ1VaxZs0YI\noev6V1999cUXXyiK0r9//759+0aja0LTNOVg7dYerkE2U7IQ4khdaU9XbpZ7pKU8pKRbdbss\ndN1SHlQyrOELRKT675aUi2WzSwgRPLbV6r3E1nNEG9/on8H6VScaLrIKq2zShb45EH6z7lB+\nSlbM1+iLcNXrNTuHOv0mSY7o6urqbcOdWX2s3pi/EQAA5y3ZLJIHR1xZaqRBks261avL1vad\nObZhw4bS0tL58+dv27ateXDAgAF+v3/mzJnFxcV+v1+W5Xnz5hUUFKSlpcV6Dc5FO3YXvfvu\nuwsXLmxuzSeEyM3NXbJkSfNVIQkqrDZ8XfPXTM+V0YdWc1JQqZFDmuWLYCTHKoQQkqTbZblJ\n08L1wcoPbKlXRZeUrUlquKbtb3Qo0mSSdKssCyEkIdkk7VgkdNZXnYNaJeg0WUySLISwSCa7\nbK7TOuWNAAA4n0mSsCRrluSzL9miHTt26LpeWFh48uDy5cvnzp27ZMmShQsXTp48WVXVSZMm\nLV26NAblxkJbg922bdsmTJjQq1evhx56aPDgwbIsf/rpp7/97W8nTJjw0UcfDR06tFOr7FQ2\nS3K297qa4P4ka7qmK4HIcZc1TXPI4f520wlFc5uEpkuNqpZskm0+R+9rI40HTfaeuhbRQifM\njnbE8/62pFy7qVpRk01yWNOadKmfLakz1ijN4qlXQwEt7JSt9WqoSVN6m92d8UYAABjYggUL\nFixY0OJTZrN56dKlreW5YcOGtXhdaWvjMdTWYPfAAw9kZGSUlpb26NEjOnLDDTfMmTNn2LBh\nDzzwwFtvvdVpFXY6SUgX9hj3+fE3Kmq2aro6qHd+mvsyIUvhXIft06D5iyZJ1YOXJUX8VkmW\n7On/oh96O1T5oa4prpwCS8qQtr9RutWZn9zr1Zpju0KKqsu3epPGJPXujDXqY02Z2/MHyys3\nWyRTRFeLe49KNbs6440AAMB5pa3B7h//+MdPf/rT5lQX5fP5brnllmeffbYTCutSXme/S+3/\nj707j4+yuvcH/j3n2eaZfSZ7MlkIhICEfROsoqKIWri0FivlanupWpfa61pfv3p7215vq623\n1bYu7fVKvd7a2oV726pFRUUqgsgOYQlrgCRkmUxmX57lnN8fAyENAZMwyZDk+/7DV/LNzDPf\nGYfJJ+d5zjlfG5O7SKSqXS5KzzMwC+SER6ITVS4T5hSAEACQXONFW5nqW0RFu9CX4bq0ZZ6y\nK2y5dalwsaSOs/R3aLgX5jvGTrX6AkYsV7S7+zK9AyGEEEJDV2+D3XlGDofHInYiVT3q6G5F\nLhMzr/uKJES0SY4x/X6gEtlaIlv7fffe8wpWrzAYD4QQQgihi0Rv57ROnTr1N7/5TXt7e9di\nR0fHb37zmyF9gR1CCCGE0LDR2xG7xx9//LLLLps8efLdd99dU1MDAHv37n3hhReam5tfe+21\ngewQIYQQQgj1Sm+D3cyZM994440HH3zwX/7lXzqLl1xyyX/+53/OnDlzYHpDCCGEEEJ90Id1\n7BYsWLBr1676+vpDhw5xzkePHl1ZWdl1geJvfetbP/jBDwagSYQQQggh9On6tp8VpbSysrKy\nsrLHn/7qV7/CYIcQQgihwWG1WjM7g3MYbL855DcEQwghhNDINDzW5ciszO9AjxBCCCE0CBKJ\nhGmaGTyg1WoVBCGDBxx8OGKHEEIIITRMYLBDCCGEEBomMNghhBBCCA0TGOwQQgghhIYJDHYI\nIYQQQsMEzortG6aHk81rzXgDCFYl71LZNR4AIJkQjx4mkRDIillaznLyACCpdxzreD+aOqlI\nzhLnXI91TJZbRwghhNBwhyN2fcLjJ/4vduJPRrxRD+4Kbn/MiJ8AzqV9teKBfTQaps1Nypq/\nkkiYMaOubdXh9r9Gtabm8NaD/r/EtJZsN48QQgihYa5XI3ZbtmxZunTpN7/5zbvvvvs8N/vh\nD3+Yoa4+haqqF3L39LrSgiD09ThmKpBq/Is1fw4hAgBokCKJo6pSTA/V8dIKQgkAEGaqkVDY\naR7teNvnmUOAAOT5Y/ti5rFcteJC2s44URQppV03hRuB0k//At9RQ136nTDCX4T0ylUWi2Uk\nr3dKCMF3giRJACDL8lBfzOwCEUJG+Dth6OrVL/UJEyb4/f5169ad/2a33XZbJlq62HXuNtLj\nL4AefymM5F8VCCGEUBaRmElPpmi7Dgbrx91bWlpuu+224uJij8ezcOHCXbt2peuGYTz00EMV\nFRUlJSV33XVXKpXqei9N03Jyctrb2z/1OBnXqxE7VVVfe+21W2+99eWXX77tttuyPsaTSCQu\n5O6UUqvVappmX4/DuUUpXhxv+UBQC7mZMOLN3DIqTqlcVS3UH+UOJ+gajYSTDhdltlGe6xpC\nG21ygW5GvZbxNqH8AtvOOEqpYRjd3osjjcViIYRcbP9rBpmiKKIojvAXQRRFURSTySRj/fno\nHx4opZIkjfB3AgDIsqxpmqZp2W4km1RVzew7wWazZfBovWVycXdU/jAEIgHGjUtsxkQ7y5X6\ndIzly5f7/f5XX33VZrP9x3/8x9VXX7179+6ioqKHHnpo1apVL7zwgiRJ99xzzx133PHKK68A\nQDKZ3LBhwy9/+ctAINCb42Ty+QIAAOnlYNLSpUuPHDmybds2t9tdUlLSbYR28+bNGe/sPPx+\n/4XcnVLq9Xo1TQuHw329L9PDyZYPjNgJKtrk3Etl1zgAIMmkeOwwCYd4evKENxcAknrH8eAH\nkVSTIjpLXHM96ugL6Xkg2Gw2DHYej4cQ0u2f30iTDnaxWCzbjWSTw+FQFCUQCIzwYOdwOEKh\nULYbySZVVW02WzgcHuHBzuv1ZvaDMTc3N4NH6xSPx03TFA7GSbSHjcWEJk3cE2UeCUQCHEjM\nYC7RHGfjEjn7xuYYlTvEbluKNTY2+ny+jz76aO7cuQCg63phYeETTzyxbNmy4uLilStXLl26\nFABWr169ZMmShoaGvLy8p5566mc/+5mmaa2trX6/Pycn5zzHufPOOzP+mvR2Vmw0Gs3Pz1+4\ncGHGOxhaqOS0+hZ3K3KLRa+e0K1okTxj8z43WH0hhBBCI5Ty13bhyDnHF2njmfELAUDaGunx\nZol7fEZ191BkmuZ3v/vd6dOnp7/VdT09rl9bWxuNRq+99tp0ff78+bqub9++fcGCBY888sgj\njzyydevWGTNmfOpx+v5cP11vg93q1asH4uERQgghhC5OZWVl3/nOd9Jfx+PxL3/5y16v9+ab\nb/7ggw9kWXa73ekfybLs8Xiampr6epyB6LlvV8tFo9H33nvvtddea25uTiaTptnDyCdCCCGE\n0LDBOX/llVfGjRvX2tq6detWr9fLOU+vsNGVYRh9Pc5AdNuHBYpffPHFhx56KBKJAMAHH3wA\nAMuWLXvqqaeWL18+EJ0hhBBCCH2q1OfzId5DqBKaUtLWCMsRQRKAAwkbLEc0Jtq52MM1dsyn\n9Hjwtra2pUuXHj169Mknn7zlllvS80eLiopSqVQkEnE4HABgGEYwGPT5fOdpssfjDITeBrs3\n33zza1/72rx58+67776bbroJAMaOHTthwoR//Md/9Hg8N9xwwwD1hxBCCCF0HmapAtBDLDPH\nWlmhhdbHxSNJYKBPthsTbdzTh1mxnPMbbrihuLh4165dLpersz5hwgSr1bp27drFixcDwPr1\n6wVBmDJlSl+PMxB6G+yefPLJmpqaNWvWiOKpuxQVFb399tszZ8588sknMdghhBBC6OJCiDHe\nSkZbjNmMS8DtApx1/vT83n///a1btz7wwANbtmzpLFZXV/t8vhUrVjzyyCM+n49Sev/99y9b\ntqywsLAfx+nH0zq/3ga7nTt3Pvzww52pLo1SeuONN/785z/PeFsIIYQQQheOy5R7+3nec+fO\nnZzzbpecPfvss/fee+/TTz/98MMPL1myxDTNxYsXP/PMM/07Tv8aO4/eBjuPx5NMJs+uG4aR\nPsGMEEIIITScPPjggw8++GCPPxJF8ZlnnjlXnps+fXrXdYLPc5yM622GnT179iuvvNLR0dG1\n2Nra+vLLL3ddqQUhhBBCCGVLb4PdD3/4w3A4PGXKlB/84AcA8NZbb33rW9+aMGFCJBL54Q9/\nOJAdIoQQQgihXultsBs1atSHH35YUVHx2GOPAcCTTz75xBNPTJ48+W9/+1tVVdVAdogQQggh\nhHqlD+vYTZ48ed26dYFA4MCBA7Isjxkzxul0DlxnCCGEEEKoT/oQ7ACgvr7+gw8+OHTokKIo\nVVVV1113ncfjGaDOEEIIIYRQn/Qh2D366KPPPPOMpmmdFbfb/fjjj3/9618fgMYGW5xpJ/Ww\nhYjFkqtzn5AY05r1sEqkIsnZtXhSD9moUiR9yoClPxGqjwc9sjrakd9ZDJus1TBcgpAnCp1F\nUwvylJ/KbqrkdhY7jHi7GfeIao5gy9jz7LVIZG8q1WyzVatqyeA/OkIIIYT6obfB7vnnn//R\nj340Z86c73znO9OmTeOcb9269d/+7d/uu+++4uLiz3/+8wPa5UA7lPK/EardEKs3gH3BPXmp\ne4pEhLpk6+rIvg3RIwZnN3umfsE9RSR0X6rlrfC+jdF6A8xlnumfd00SSM/XKa45eWB1a2xb\nxGNA8ksF2+8aM5kSujWeWBeLb4olNOBf9bhvdNoJISn/J6nWD5PtnwDTHFVfU4sXAsDGWP2P\nWt6TiaBx8568z1zrqB60V4MD21P33d2tvxG4UGSvGVWw1Fdyy6A9OkIIIYT6rbfBbuXKlRMm\nTHjvvfdUVU1Xrr/++nnz5s2cOfOZZ54Z0sGOcb46vPeYFphhLTU4ezO0Z5ScM8tatjq894QW\nnGEtM4D9ObR7tJI7RS15O7y/SQvNsJbq3FzVsWO0nDvN2sOy0UEt+ttj+wyhcpK9Q+f0962e\nSe76yd7yD2LxdsOYbrWkOP/vjmCVIo8h8VDtE5J7guKdzoxk5OB/iY6qsLXwRy3v1ahFDqok\nmP6Lto/GKnnl8oDsFny2lubVe1p+V2CpEqgcS7UfPfn7/NyrZSX/0++JEEIIDSKr1ZrtFi46\nvZ0Ve+DAgSVLlnSmujSr1fqFL3xh165dA9DY4AmbyXcjB/JFBwCIhHpFa7MeDpqJD6KH8iU7\nAIhAvYKtWQ8HjPi6yKE80QYAEhE8orVZD/d4zIZ46JA5xS0ZACAR5hBSx+PxNsPcFE+4BQEA\nFEKcAm0xDJZqA6pQyQkAVLRQycmSLa1G1EJFB1UAQKWSQ1BajOhgvR4QSxyWqSpQGQBUydUU\nr41EDwzaoyOEEEKo33ob7C655JJIJHJ23e/3V1cP3lnCgWAX5Hn2MRGWAgDgPGKk3KLqoMpn\n7JUR83TRTLoE1SWqc22jomb6KkMeZSm3qPZ4zHzVZjKaNCkAcE7ippQjy25R0DlPcQ4ADCDG\nuEsQqOQCpvH0MTnjRoxKLidRUtzUuAkAJmdxpjlpD9sbDxBFzjd5inEOAIaZZMCsauY3s0MI\nIYRQxvU22H3jG994+eWXN23a1LW4bt26X/3qVytWrBiAxgaPSITLbKP2J1vqUi07kydn2spm\nqKUyFedYK/amWupSLTuSjZfaKqZbSy1EnGUtq02erEu27kg0XWarnHqOxJOvuO8sCeyPuw/H\nbXvizivcwSvyKryCcIfXvTORqktpOxLJ6xy2SyyKoBY4xvyTFtxhhOtSge2q70bRWV0suW71\nzNiZaKxLtu5INP6De1KVkjdoL0hh4aIy52X+5IFAst6fOjq1+KuqtWLQHh0hhBBC/Xa+a+y+\n973vdf22tLR0zpw511xzTU1NDed8586da9eunT179pgxYwa4yQE321b+U9/nj2kdFiLWWIst\nRASAy+yVpYrneKpDpVKNWqQQEQDmOcaUK94GLWilUo1aLBPhXMe8bdSkGtfxo3HdI8FleRMt\nggQA1zvsVYrSbBguSscrskQIAFhKPis6xpqpViq7Jed4QkUAWOKeON5S0GZEPYJ1vKXgXFM0\nBoIo2KZN+FlJ65tJrc1pG5eXd/WgPTRCCCGELgTpuklt95+dXuDj/K655po1a9ZkrqVP5/f7\nL+TulFKv16tpWjjc8xVyI4TNZjMMI5VKZbuRbPJ4PISQQCCQ7UaySVEUURRjsVi2G8kmh8Oh\nKEogEGCMZbuXrKGUOhyOUCiU7UaySVVVm80WDoe7ru01Anm93sx+MObm5n76jVAmnG/EzjCM\n3hyil/kPIYQQQggNqPMFO0E453lGhBBCCCF0sentOnYNDQ0PPPDApk2bEolEtx95PJ4DB3A5\nDIQQQgihLOttsLvzzjvffffdG264obCwsNu5VxzYQwghhBC6GPQ22K1fv/7VV19dunTpgHaD\nEEIIIYT6rbeLaOTl5U2fPn1AW0EIIYQQQheit8Fu8eLFr7766oC2ghBCCCGELkRvT8X+6Ec/\nuuyyy2pra+fPn2+z2br9dPny5ZluDCGEEEII9U1vg92bb765c+fOzZs3//73vz/7pxjsEEII\nIYSyrrfB7vHHH58zZ873vve9goICXJEYIYQQQugi1Ntgd/jw4Y0bN44fP35Au0EIIYQQQv3W\n28kTM2fOjEQiA9oKQgghhBC6EL0dsXvyyScfffTRl156qby8fEAbusjphrmrPtQQNqwSmV7m\n8LosAKDrvL7OTPiZYAHfONHlpgCQNPQ1zUePJ5JuSbym0FdgcWa7954xPay1b2ZaSFAL5ZwZ\nhMoAEDTMLclk2DSLRHG6apHpOf8ACOh0S1iMGqRUZVMduohn6RFCCKHs6W2w+/d///eGhobR\no0dXVlaePSt2+/btmW7sIvV2bftvW215FOJM2B8ML58MHruy9yPdsT0q2qio8SNNyuhrLHYn\n+cWRva+3OtySEDfFXZHD3xw7Nkfp/rplHTfi0SP/o7VvoaLD1NqtJTdaK26JcfifjuD2RMou\nUL+hL3Y6v+hx9RjYOnTySpOyOyJaBd6m0S8W0s8VpAb7OSCEEELotN4GO8MwqqqqqqqqBrSb\ni1wsoa9scUyXoxaBAxi7ksrUxuikEsW7Oez3WUAgKQBbY+rkUdlWFf1ji3eSrV2kHEDbHrF/\n3N50Y/FF9+qlgvtSbRsk92RCQLAWxY//0VJ41T7wfJJITLRYAKBQFH4XDM132PPEHjaOq42K\nOyPSeJsBAAUy/+8my/wczSnywX4aCCGEEAKA3ge7119/fUD7GBISKZMAKPRUcJGBxw2upTgn\nBOipIS0mEpbiES1FCBM7b0lY1DCz0/R5cTNBqHJqljMRgIjcTMTBeboEIiECkARnAD0Eu4RJ\nOl8NiXACkGDECRjsEEIIoezo7eQJBABuh7zAETmuSSaHqEn9TC7zyC43aR9jVUI6YUCTXI2b\njnxaYffOdQaaUrLJSNgQQoal2u7Odvs9kOzlXA8yrQO4aSZOKnlzBbWoXJYDJguZpsl5o65f\nbrcWiD3/AVCmmn6NRgxicjiREq7J0XJENshPASGEEEKdejtiN3HixHP96NJLL33xxRcz1M9F\nTRToZ8dahQOxv0acl1sj9xbExvnyAKD4UkvTZsjdH/NXWBNXOcdVCADCP5YVvnaieW0wd7bT\n/0hRcor3Ypx0ItpKXTX/L9m6PtnygVq0wFJ8HRHUCgEeyc/dGIuvi8auc9qvd9iVc6xcOM5m\nfr0sviUsfdgh3ZCn3ZCTEvEvBYQQQih7ehvsKioqun6bTCYPHTpUX19/xRVXzJw5M/N9XaxK\ncu1fzbEtjekWS45y+rKzgkKSd6MldpWlUAFJOpWBJrqLLnEWBPSYQyi0iFL2Wv4Ucs5MyTPV\nNvqfBMkJ5FQum2NVZ1iUr3rdDkrpedejvtKrz3Xrd5QQp8RxRixCCCGUXRd0jd2bb7751a9+\nderUqRlt6WJHCHHZ5W5FSonD3v2WAqV5imOQ2roAhIqC3P1MsUSpq3d3lynIFK+rQwghhLLv\ngs6c3XjjjStWrPjXf/3XTHWDEEIIIYT67UIviaqqqtq0aVNGWkEIIYQQQhfigoKdaZqrVq2y\n2886B4kQQgghhAZdb6+xW7RoUbcKY2zfvn1Hjx598MEHM90VQgghhBDqs94Gu4aGhrOLhYWF\ny5cv//a3v53RlhBCCCGEUH/0NtiNnN1gEUIIIYSGKFxPFiGEEEJomDjfiN15dpvoZvfu3Zlo\nBiGEEEII9d/5gt2nTnfdt29fKBTKaD8IIYQQQqifzhfsNm7ceK4ftbS0PPLIIx9//LHX633i\niScGoDGEEEIIIdQ3fb7GjjH2/PPPjxs37te//vWKFSvq6uruvPPOgegMIYQQQgj1Sd+C3ZYt\nW2bPnn3vvfeWlZWtX7/+pZdeys3NHaDOBl881mEYqW7FE6G2aCre/ZaMmbz77qhRLciY2a3I\ndQKDsI0q56Bp/KyWEEIIITSi9Ha5k2Aw+Nhjj/3iF7+w2Ww/+clP7rvvPlHs7X0vfq2tDX/a\ns68p1aEIuTPc4vzpn6GU/u3I3l0fc1vSwkkoWuT/xsJLAaDZMN4IRV4PR+bZbbOt6mU2KwAc\nD+1//eRf34wfv1zJu8wz5YriGwFAD9P4ESV6SLaV6xafbinSB6h56m8VDh8Ujx40K8fqlWN4\nbv4APRBCCCGELnK9GrH7n//5n+rq6ueff37p0qX79+9/4IEHhlOq45z/7559G7VcRguDXHmu\no2DX/m0GN2s3knFtHolRuyZdsavilU0fM4A/hSJbE4mZquo3jJ+0tdelUrqprWr6y/bkyRmS\ny6/HnmpecyCwjZsQO6ikWkVLsa5HSfsGqx4SBqT7RFw8uF8IdbCSUtrRLh+qg0T38UWEEEII\njRCfEuz27Nkzb9682267ze12r1mz5rXXXisuLh6czgZNOOR/XassJ2GZmA6iFbDw4WB4d1P9\nvAZPkz2hUxaTjFYLC7QIAdN8OxKtkCSZErcg5ItCvaa3xo+/l2gqFRwSEdyiJQfEw9FDZpzG\nj8mCwyQUBJWLKtNDA7JkIA0F6clGZrNzKjC7gzY10HB4IB4IIYQQQhe/86WNRx99dOrUqZs3\nb3788cd37959zTXXDFpbg0lVrXPpcQ1I+luNiAqluXbnJ3kxgZ0aZpMZIRJTCOEAnadUNc4V\nQlTRxoGbwE4VgVuoQkQADp1X13FG6MAMcXJRBJOdubaOmVwcmKFBhBBCCF30zhfsfvSjH+m6\nnkgkvv3tbyuKQs5t0NodCLJiu8QGdZDXxKxHTWclr5tSWlrqygt5gmODlry4UhZRD7mjU6sd\nDkpvdbv2JlNNun4opdVYLBNVi1spuMV5yV492GRED2qhSUrORO8MwcIc41Nam2hEqRYQlAJd\nzjEGpHtPDqscI7a1kkiY+luMyiru9g7IAyGEEEIXmeuvv/5zn/tcQ0PDddddZ7fbi4qK7rzz\nzvDIPnN1vnGk22+/fdD6yK7Pzpybt3dbfTBmlejMshm+ktEA8JXrqn/j2K0HVS4ZNePlKyon\nAcAip71IEk/ouo3SmVY1RxAA4OZRt/lOvnM83uSUbHPz5+VaSwDAXp0S7KYRpYLCLcUGVQZk\nyioXBL1mCvN4STzGbXazpAwEHLFDCCE0UrS2ti5fvvwb3/jGL3/5y9WrV997772mab700kvZ\n7itryFBcI8Pv91/I3SmlXq9X07QRHuptNpthGKlU9xVeRhSPx0MICQQC2W4kmxRFEUUxFotl\nu5FscjgciqIEAgHGWLZ7yRpKqcPhGOH7CamqarPZwuGwpmnZ7iWbvF5vZj8YB2hxtOuvv/6t\nt95as2ZN59Vi119//d69e48dOzYQDzckDMgV/QghhBBCg8Dr9XadA1BSUhKPj+jVITDYIYQQ\nQmioKisr6/rtUL/u/8JhsEMIIYTQUDWcFtbNCAx2CCGEEELDBAY7hBBCCKFhAoMdQgghhNAw\ngcEOIYQQQsOEIAgejyfbXWQTXnKIEEIIoSFp9erV3Sq/+MUvstLJxQNH7BBCCCGEhgkMdggh\nhBBCwwQGO4QQQgihYQKDHUIIIYTQMIGTJ07ZU7fjRINfVuilU2dYbc508X+PfryuI+ihcO/4\nS/MUd7oY2rtXawhQq+icPllS1XTxeIvk7xAVCxvrS0mnX1QaCpJImCuKmZNLqJAu6iHBiFLB\nwiWPQfqYqxmHupjQrlOvxMfZDJreN4WD1iGYCSqoTPKY6c1UGOcHU20BM54v2ivlHNxiBSGE\nEBoJMNgBALyz7l3flhKPlK+YwupjW+ctHJ+bU3j/trdei11LSYKB9Ob22j9cUlThLPa/9bf8\njSW6mCcwIbB3q3P5JNHm3FSrdmy1GhKnDE745KvmxhSZifWHpU3ruaKCoZljxukTp4IgxI7K\noe0qUTjXwT5Gc1yS7H224wCrWpTfN1ucIouY5PMF2s0FSQoQqVMi+yxE5lwjzglJW1WKA/9D\ncPsfgzvtVImw5G3eWYtdNQP5+iGEEELoooDBDlLJeKxePuEMJ2QNOJS25274ZOdlV6rvJsts\nQqMCcQBoMMb/4MDfnh9vlw8oEUfIlHQA6mkpaP/bDsu8K4NbrKkck0rcBGCN0t56ZVp5h/Tx\nerOwCCSZcyYeqjMLinS3L7hNtRQYROTAIHpIVgoMJc/oZZ/HEsLvWixTHbpEweSwqlmZ5tBH\n6RDda1EKdUIBTAjXWiyFRr3S8sfgzqlqiUgEjRsvBz6Zbi0tkVwD+SoihBBCKPsw2EGrv2V8\nW35dbjsAAIG4pOlJ2O0/2sYm5dCD6dsIkDhpSomTLZ72vICnlQA+Fg2KAAAgAElEQVQBYLqg\nsYjZEaOMAJV4+pZMhFickGSSUwqSDACEUCYrNJlgKUooJyIHAKBAZc6SfThD2qETlXCJAgAI\nBGwi7zBoeYqDxE8N+wlAJW4kSIcQt1JZJAIAyERUidhhxDHYIYQQGmYSiYRpmhk8oKqqgiBk\n8ICDDydPQGF+8d6CFltKBgDCwKEpqp1OyRldQPcmwAkAnFATbJWSrpYUB3JbZU0BAGBE1mWa\nI+c4mUdgLEUBgDMQdXDYGVOthDGSTAIAYSbVksxqF1TGGTFTJH1LlqKCynrfZ57MYowkGQGA\nFCMRg+TLTLAyrhNuEADgBmEaEW0sX3JEzVSSGQAQY1qcafmSI9MvG0IIIZRlPNOy/YQyAEfs\nQJKVgmqhtS4xyp8jcrq/pHHhnFl2q2OZq+k3IdLGxgAIY8VPvjN+rqjajMkcdqVc7bmU0dbK\nBvdnZooKs85JFH6s+qOCYBCpKjVhVBIEOXX51cr690GUiGHoE6ey/AJKeM6ceGCj1RA5M4hr\nYlLO6cPfGT4L+5ov8csG1Up53CQrShIVFpMQcE9NdGxTqciZQTzTE6KdlYPn9tw5L7ZvUIiY\nZMY/512ZL9oH7gVECCGE0EWCDMV86vf7L+TulFKv16tpWjgc7iw2tzYePnZUtcg11ZNlWUkX\nd7QeWtNytEBVllXOleipEJxsaYofaZTcqr36EkJPDXkGwkJrULRazNLcLnNdE3EhFmWywp1n\nToOaCWrGKZGZ5OjDcF2npiRt16lXYiWWM3c3YpQlKFWZaDtTbNbDATOeLzpyRVuPh7LZbIZh\npFKpfrQxbHg8HkJIIBDIdiPZpCiKKIqxWCzbjWSTw+FQFCUQCDDWn3+YwwOl1OFwhEKhbDeS\nTaqq2my2cDisaVq2e8kmr9eb2Q/G3NzcDB6tUzwez+ypWKvVOtRPxeKI3SmF+SWF+SXdilPy\nx0zJH9OtaCkothQUdyt6nabXedZ7S7WaqrVbTVBZn87AdlNsYcWW7ncXbQxs3YuFkrNQcvb7\ngRBCCCE05OA1dgghhBBCwwSO2CGEEEJoGOKcnzhxor6+PhqNSpKUm5tbVVVltw/zi84x2CGE\nEEJoCFuzTfKHui8fFgwGDxw4sG/fPovFIooi50YqdcjnS5aUlFRWVlLa/YzlVZONQu9wuMQ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sc5kAYFIWkSTWYak74b8qkLfHwwAgJfCI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sR/+2SF/FKi5irj1K7tAQM8NUA9NUAdCVpf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",
1396 "text/plain": [
1397 "plot without title"
1398 ]
1399 },
1400 "metadata": {},
1401 "output_type": "display_data"
1402 }
1403 ],
1404 "source": [
1405 "ggplot(cvyf_xtab, aes(x=Number_of_Casualties, y=Number_of_Vehicles, size=n, color=yearf)) +\n",
1406 " geom_point(alpha=0.5) +\n",
1407 " scale_fill_hue(l=40) + \n",
1408 " geom_smooth(method = \"lm\", se = FALSE)"
1409 ]
1410 },
1411 {
1412 "cell_type": "code",
1413 "execution_count": 15,
1414 "metadata": {},
1415 "outputs": [
1416 {
1417 "data": {},
1418 "metadata": {},
1419 "output_type": "display_data"
1420 },
1421 {
1422 "data": {
1423 "image/png": 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ACgEhQ7AAAAlaDYAQAAqATFDgAAQCUo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oMAxjGMbzvGEPZJgoiqJp2vO8h5+N+wrH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\nogQSOwAAAIAogcQOAAAAIEr8f6XHROgpuNRkAAAAAElFTkSuQmCC",
1424 "text/plain": [
1425 "plot without title"
1426 ]
1427 },
1428 "metadata": {},
1429 "output_type": "display_data"
1430 }
1431 ],
1432 "source": [
1433 "ggplot(filter(cvy_xtab, year==2011), aes(x=Number_of_Casualties, y=Number_of_Vehicles, size=n, color=year)) +\n",
1434 " geom_point(alpha=0.5) +\n",
1435 " scale_fill_hue(l=40) + \n",
1436 " geom_smooth(method = \"lm\", se = FALSE)"
1437 ]
1438 },
1439 {
1440 "cell_type": "markdown",
1441 "metadata": {},
1442 "source": [
1443 "Pearson _r_ is defined as \n",
1444 "$$r = \\frac{\\sum{(x-m_x)(y-m_y)}}{\\sqrt{\\sum{(x-m_x)^2}\\sum{(y-m_y)^2}}}$$"
1445 ]
1446 },
1447 {
1448 "cell_type": "code",
1449 "execution_count": 16,
1450 "metadata": {},
1451 "outputs": [
1452 {
1453 "data": {
1454 "text/plain": [
1455 "\n",
1456 "\tPearson's product-moment correlation\n",
1457 "\n",
1458 "data: cv_date$Number_of_Casualties and cv_date$Number_of_Vehicles\n",
1459 "t = 276.26, df = 1355600, p-value < 2.2e-16\n",
1460 "alternative hypothesis: true correlation is not equal to 0\n",
1461 "95 percent confidence interval:\n",
1462 " 0.2292713 0.2324586\n",
1463 "sample estimates:\n",
1464 " cor \n",
1465 "0.2308656 \n"
1466 ]
1467 },
1468 "metadata": {},
1469 "output_type": "display_data"
1470 }
1471 ],
1472 "source": [
1473 "cor.test(cv_date$Number_of_Casualties, cv_date$Number_of_Vehicles, method=\"pearson\")"
1474 ]
1475 },
1476 {
1477 "cell_type": "code",
1478 "execution_count": 17,
1479 "metadata": {},
1480 "outputs": [
1481 {
1482 "data": {
1483 "text/plain": [
1484 "\n",
1485 "Call:\n",
1486 "lm(formula = Number_of_Casualties ~ Number_of_Vehicles + year, \n",
1487 " data = cvy_xtab)\n",
1488 "\n",
1489 "Residuals:\n",
1490 " Min 1Q Median 3Q Max \n",
1491 "-8.918 -4.612 -1.804 1.818 78.806 \n",
1492 "\n",
1493 "Coefficients:\n",
1494 " Estimate Std. Error t value Pr(>|t|) \n",
1495 "(Intercept) 42.76083 233.54983 0.183 0.855 \n",
1496 "Number_of_Vehicles -0.40683 0.06826 -5.960 3.54e-09 ***\n",
1497 "year -0.01618 0.11628 -0.139 0.889 \n",
1498 "---\n",
1499 "Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n",
1500 "\n",
1501 "Residual standard error: 8.219 on 951 degrees of freedom\n",
1502 "Multiple R-squared: 0.03601,\tAdjusted R-squared: 0.03398 \n",
1503 "F-statistic: 17.76 on 2 and 951 DF, p-value: 2.667e-08\n"
1504 ]
1505 },
1506 "metadata": {},
1507 "output_type": "display_data"
1508 }
1509 ],
1510 "source": [
1511 "lm_fit <- lm(Number_of_Casualties ~ Number_of_Vehicles + year, data=cvy_xtab)\n",
1512 "summary(lm_fit)"
1513 ]
1514 },
1515 {
1516 "cell_type": "code",
1517 "execution_count": 18,
1518 "metadata": {},
1519 "outputs": [],
1520 "source": [
1521 "predicted_df <- data.frame(noc_pred = predict(lm_fit, cvy_xtab), Number_of_Vehicles=cvy_xtab$Number_of_Vehicles)"
1522 ]
1523 },
1524 {
1525 "cell_type": "code",
1526 "execution_count": 19,
1527 "metadata": {},
1528 "outputs": [
1529 {
1530 "data": {},
1531 "metadata": {},
1532 "output_type": "display_data"
1533 },
1534 {
1535 "data": {
1536 "image/png": 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yToZscBAJiJGbug8fTsKYSwcDYWZkhL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",
1537 "text/plain": [
1538 "plot without title"
1539 ]
1540 },
1541 "metadata": {},
1542 "output_type": "display_data"
1543 }
1544 ],
1545 "source": [
1546 "ggplot(data = cvy_xtab, aes(x = Number_of_Casualties, y = Number_of_Vehicles)) + \n",
1547 " geom_point(color='blue') +\n",
1548 " geom_line(color='red',data = predicted_df, aes(x=noc_pred, y=Number_of_Vehicles))"
1549 ]
1550 },
1551 {
1552 "cell_type": "code",
1553 "execution_count": null,
1554 "metadata": {},
1555 "outputs": [],
1556 "source": []
1557 }
1558 ],
1559 "metadata": {
1560 "kernelspec": {
1561 "display_name": "R",
1562 "language": "R",
1563 "name": "ir"
1564 },
1565 "language_info": {
1566 "codemirror_mode": "r",
1567 "file_extension": ".r",
1568 "mimetype": "text/x-r-source",
1569 "name": "R",
1570 "pygments_lexer": "r",
1571 "version": "3.4.2"
1572 }
1573 },
1574 "nbformat": 4,
1575 "nbformat_minor": 2
1576 }
Demo of R in Jupyter notebooks for OU