Ticket #30556: Content Resolution Analysis(10).ipynb

File Content Resolution Analysis(10).ipynb, 831.7 KB (added by tom, 11 months ago)
Line 
1{
2 "cells": [
3  {
4   "cell_type": "markdown",
5   "metadata": {},
6   "source": [
7    "# Select the data from the database\n",
8    "\n",
9    "As we do so, we transform it into a more sane representation.\n",
10    "\n",
11    "Something explicit to note: We disregard all notion of 'Users' and focus on 'Windows'.  This means that a User with 500 Windows essentially counts 500 times more than a User with a single Window."
12   ]
13  },
14  {
15   "cell_type": "code",
16   "execution_count": 1,
17   "metadata": {},
18   "outputs": [
19    {
20     "name": "stdout",
21     "output_type": "stream",
22     "text": [
23      "Querying...\n",
24      "Done.\n"
25     ]
26    }
27   ],
28   "source": [
29    "query = \"\"\n",
30    "\n",
31    "\"\"\"\n",
32    "scalar_parent_resistfingerprinting_content_window_size is a map<resolution, array(occurances)>. So for example:\n",
33    "  { '2x2' : [null, null, 1, null],\n",
34    "    '3x3' : [1, null, null, null]}\n",
35    "    \n",
36    "client_id | scalar_parent_resistfingerprinting_content_window_size\n",
37    "------------------------------------------------------------------\n",
38    "  2       | { '2x2' : [null, null, 2, null], '3x3' : [1, null, null, null]}\n",
39    "\n",
40    "\n",
41    "First we need to explode the map so each resolution goes to its own row. \n",
42    "resolution | occurances\n",
43    "-----------------------\n",
44    "  2x2      | [null, null, 2, null]\n",
45    "  3x3      | [1, null, null, null]\n",
46    "\"\"\"\n",
47    "\n",
48    "query += \"\"\"WITH\n",
49    "   UnpackedResolution as\n",
50    "  (SELECT explode(scalar_parent_resistfingerprinting_content_window_size) as (resolution, occurances),\n",
51    "          os\n",
52    "   FROM longitudinal\n",
53    "   LIMIT 2000),\"\"\"\n",
54    "\n",
55    "\"\"\"\n",
56    "Then we explode the array so each occurance is its own row.\n",
57    "resolution | count\n",
58    "-----------------------\n",
59    "  2x2      | null\n",
60    "  2x2      | null\n",
61    "  2x2      | 2\n",
62    "  2x2      | null\n",
63    "  3x3      | 1\n",
64    "  3x3      | null\n",
65    "  3x3      | null\n",
66    "  3x3      | null\n",
67    "\"\"\"\n",
68    "\n",
69    "query += \"\"\"\n",
70    "   UnpackedOccurances as \n",
71    "  (SELECT UnpackedResolution.resolution,\n",
72    "       UnpackedResolution.os,\n",
73    "       explode(UnpackedResolution.occurances) as count\n",
74    "   FROM UnpackedResolution)\"\"\"\n",
75    "\n",
76    "\"\"\"\n",
77    "Finally, we can aggregate them\n",
78    "resolution | numwindows\n",
79    "-----------------------\n",
80    "    2x2    |     2\n",
81    "    3x3    |     1\n",
82    "\"\"\"\n",
83    "\n",
84    "query += \"\"\"\n",
85    "SELECT resolution,\n",
86    "       os,\n",
87    "       sum(count.value) as numWindows\n",
88    "FROM UnpackedOccurances\n",
89    "WHERE count.value > 0\n",
90    "group by resolution, os\"\"\"\n",
91    "\n",
92    "\n",
93    "print \"Querying...\"\n",
94    "frame = sqlContext.sql(query)\n",
95    "print \"Done.\""
96   ]
97  },
98  {
99   "cell_type": "markdown",
100   "metadata": {},
101   "source": [
102    "# We're going to work with Windows data only for now for simplicity\n",
103    "\n",
104    "Here we transform the data from a database representational object into a pure python object. We do this because I know how to work with Python objects."
105   ]
106  },
107  {
108   "cell_type": "code",
109   "execution_count": 2,
110   "metadata": {},
111   "outputs": [],
112   "source": [
113    "# As we are filtering on Windows, we can discard the OS column\n",
114    "windataFrame = frame.filter(\"os = 'Windows_NT'\").select(\"resolution\", \"numWindows\")\n",
115    "# This does... something I don't really understand\n",
116    "# https://pandas.pydata.org/pandas-docs/version/0.21/generated/pandas.DataFrame.to_dict.html#pandas.DataFrame.to_dict\n",
117    "windataPandas = windataFrame.toPandas()"
118   ]
119  },
120  {
121   "cell_type": "code",
122   "execution_count": 3,
123   "metadata": {},
124   "outputs": [
125    {
126     "name": "stdout",
127     "output_type": "stream",
128     "text": [
129      "Collected in a python object. Sample rows:\n",
130      "{'resolution': u'1366x654', 'numWindows': 2097}\n",
131      "{'resolution': u'1366x635', 'numWindows': 778}\n"
132     ]
133    }
134   ],
135   "source": [
136    "# But this turns the result into a native python object that we can work with in a way we're used to.\n",
137    "windata = windataPandas.to_dict('records')\n",
138    "# Sort it by number of Windows Descending.\n",
139    "windata = sorted(windata, key=lambda x: x['numWindows'], reverse=True)\n",
140    "print \"Collected in a python object. Sample rows:\"\n",
141    "print windata[0]\n",
142    "print windata[1]\n"
143   ]
144  },
145  {
146   "cell_type": "markdown",
147   "metadata": {},
148   "source": [
149    "# Let's create some abstractions for running multiple assignment tests"
150   ]
151  },
152  {
153   "cell_type": "code",
154   "execution_count": 4,
155   "metadata": {},
156   "outputs": [],
157   "source": [
158    "#!/usr/bin/env python\n",
159    "\n",
160    "import numpy as np\n",
161    "import matplotlib.pyplot as plt\n",
162    "import unittest\n",
163    "\n",
164    "\n",
165    "class Resolution(object):\n",
166    "    _strVal = \"\"\n",
167    "    _tupleVal = (0,0)\n",
168    "    def __init__(self, value):\n",
169    "        if isinstance(value, str) or isinstance(value, unicode):\n",
170    "            pixels = value.split('x')\n",
171    "            if len(pixels) != 2:\n",
172    "                raise Exception(\"Tried to create a resolution, with a str, that isn't composed of 2 floats:\" + str(value))\n",
173    "            self._tupleVal = (float(pixels[0]), float(pixels[1]))\n",
174    "            self._strVal = str(round(self._tupleVal[0], 1)) + \" x \" + str(round(self._tupleVal[1], 1))\n",
175    "        elif isinstance(value, tuple):\n",
176    "            if len(value) != 2 or \\\n",
177    "                not isinstance(value[0], float) or \\\n",
178    "                not isinstance(value[1], float):\n",
179    "                raise Exception(\"Tried to create a resolution, with a tuple, that isn't composed of 2 floats:\" + str(value))\n",
180    "            self._tupleVal = value\n",
181    "            self._strVal = str(round(self._tupleVal[0], 1)) + \" x \" + str(round(self._tupleVal[1], 1))\n",
182    "        elif isinstance(value, Resolution):\n",
183    "            self._tupleVal = value._tupleVal\n",
184    "            self._strVal = value._strVal\n",
185    "        else:\n",
186    "            raise Exception(\"Tried to initialize a Resolution with an unknown type\")\n",
187    "    \n",
188    "    def __eq__(self, other):\n",
189    "        if isinstance(other, Resolution):\n",
190    "            return self._strVal == other._strVal and self._tupleVal == other._tupleVal\n",
191    "        elif isinstance(other, str):\n",
192    "            return self._strVal == other or self == Resolution(other)\n",
193    "        elif isinstance(other, tuple):\n",
194    "            return self._tupleVal == other\n",
195    "        else:\n",
196    "            raise Exception(\"Tried to compare a resolution with an unknown type\")\n",
197    "    def __ne__(self, other):\n",
198    "        return not other == self\n",
199    "            \n",
200    "    def __getitem__(self, key):\n",
201    "        if key < 0 or key > 1:\n",
202    "            raise Exception(\"Tried to get an invalid index out of a Resolution\")\n",
203    "        return self._tupleVal[key]\n",
204    "    \n",
205    "    def __str__(self):\n",
206    "        return self._strVal\n",
207    "    \n",
208    "    def __repr__(self):\n",
209    "        return self._strVal\n",
210    "\n",
211    "# For holding things like a resolution of 'Other'\n",
212    "class SpecialResolution(object):\n",
213    "    _strVal = \"\"\n",
214    "    def __init__(self, value):\n",
215    "        if isinstance(value, str) or isinstance(value, unicode):\n",
216    "            self._strVal = value\n",
217    "        elif isinstance(value, SpecialResolution):\n",
218    "            self._strVal = value._strVal\n",
219    "        else:\n",
220    "            raise Exception(\"Tried to initialize a SpecialResolution with an unknown type\")\n",
221    "    \n",
222    "    def __eq__(self, other):\n",
223    "        if isinstance(other, SpecialResolution):\n",
224    "            return self._strVal == other._strVal\n",
225    "        elif isinstance(other, str):\n",
226    "            return self._strVal == other or self == SpecialResolution(other)\n",
227    "        else:\n",
228    "            raise Exception(\"Tried to compare a SpecialResolution with an unknown type\")\n",
229    "            \n",
230    "    def __getitem__(self, key):\n",
231    "        raise Exception(\"Tried to get an index out of a SpecialResolution\")\n",
232    "    \n",
233    "    def __str__(self):\n",
234    "        return self._strVal\n",
235    "    \n",
236    "    def __repr__(self):\n",
237    "        return self._strVal\n",
238    "\n",
239    "class UserResolutionData(Resolution):\n",
240    "    numWindows = 0\n",
241    "    def __init__(self, resolution, numWindows):\n",
242    "        super(UserResolutionData, self).__init__(resolution)\n",
243    "        if not isinstance(numWindows, int):\n",
244    "            raise Exception(\"numWindows must be an int\")\n",
245    "        self.numWindows = numWindows\n",
246    "\n",
247    "    def resolution(self):\n",
248    "        return super(UserResolutionData, self).__str__()\n",
249    "\n",
250    "    def __str__(self):\n",
251    "        return self._strVal + \": \" + str(self.numWindows)\n",
252    "    def __repr__(self):\n",
253    "        return self._strVal + \": \" + str(self.numWindows)\n",
254    "\n",
255    "    def __gt__(self, other):\n",
256    "        return self.numWindows > other.numWindows\n",
257    "    def __ge__(self, other):\n",
258    "        return self.numWindows >= other.numWindows\n",
259    "    def __lt__(self, other):\n",
260    "        return self.numWindows < other.numWindows\n",
261    "    def __le__(self, other):\n",
262    "        return self.numWindows <= other.numWindows\n",
263    "    def __eq__(self, other):\n",
264    "        return self.numWindows == other.numWindows\n",
265    "\n",
266    "class SpecialUserResolutionData(SpecialResolution):\n",
267    "    numWindows = 0\n",
268    "    def __init__(self, resolution, numWindows):\n",
269    "        super(SpecialUserResolutionData, self).__init__(resolution)\n",
270    "        if not isinstance(numWindows, int):\n",
271    "            raise Exception(\"numWindows must be an int\")\n",
272    "        self.numWindows = numWindows\n",
273    "\n",
274    "    def resolution(self):\n",
275    "        return super(UserResolutionData, self).__str__()\n",
276    "    \n",
277    "    def __str__(self):\n",
278    "        return self._strVal + \": \" + str(self.numWindows)\n",
279    "    def __repr__(self):\n",
280    "        return self._strVal + \": \" + str(self.numWindows)\n",
281    "\n",
282    "class Bucket(Resolution):\n",
283    "    _windowAssignments = []\n",
284    "    _VERTICAL_FAVORITISM = 10\n",
285    "    def __init__(self, value):\n",
286    "        super(Bucket, self).__init__(value)\n",
287    "        self._windowAssignments = []\n",
288    "\n",
289    "    def addWindows(self, userData):\n",
290    "        if not isinstance(userData, UserResolutionData):\n",
291    "            raise Exception(\"Can only add UserResolutionData as windows in a Bucket\")\n",
292    "        self._windowAssignments.append(userData)\n",
293    "\n",
294    "    def stealAllWindows(self):\n",
295    "        oldAssignments = self._windowAssignments\n",
296    "        self._windowAssignments = []\n",
297    "        return oldAssignments\n",
298    "\n",
299    "    def numWindows(self):\n",
300    "        return sum([i.numWindows for i in self._windowAssignments])\n",
301    "\n",
302    "    # This function calculates the wasted space when a resolution is fitted to this bucket.\n",
303    "    # If the bucket is too large, it returns float(inf).\n",
304    "    def scoreWastedSpace(self, resolution):\n",
305    "        # We always round the resolution _down_ to the bucket size.\n",
306    "        # If any component of the resolution is smaller than the bucket size's\n",
307    "        # we can't take this bucket so return Inf.\n",
308    "        if resolution[0] < self[0]:\n",
309    "            return float(\"inf\")\n",
310    "        if resolution[1] < self[1]:\n",
311    "            return float(\"inf\")\n",
312    "        # Here we could do a weighted calculation of wasted space, but for now make it symmetrical.\n",
313    "        return (resolution[0] + (self._VERTICAL_FAVORITISM * resolution[1])) - \\\n",
314    "            (self[0] + (self._VERTICAL_FAVORITISM * self[1]))\n",
315    "\n",
316    "    def _calcWastedResolutionAsArray(self):\n",
317    "        totalResolutionPixels = (self[0] + (self._VERTICAL_FAVORITISM * self[1])) or 1\n",
318    "        wastedValues = []\n",
319    "        for u in self._windowAssignments:\n",
320    "            # Calculate the wasted space as a percentage\n",
321    "            wasted = 100 * (self.scoreWastedSpace(u) / totalResolutionPixels)\n",
322    "            # If there were 5 windows, we enter the wasted space 5 times\n",
323    "            wastedValues.extend([wasted for i in range(u.numWindows)])\n",
324    "        return wastedValues\n",
325    "\n",
326    "    def averageWastedSpace(self):\n",
327    "        return np.average(self._calcWastedResolutionAsArray())\n",
328    "\n",
329    "    def stdWastedSpace(self):\n",
330    "        return np.std(self._calcWastedResolutionAsArray())\n",
331    "\n",
332    "    def printWindows(self):\n",
333    "        combined = {}\n",
334    "        for w in self._windowAssignments:\n",
335    "            if w.resolution() in combined:\n",
336    "                combined[w.resolution()] += w.numWindows\n",
337    "            else:\n",
338    "                combined[w.resolution()] = w.numWindows\n",
339    "\n",
340    "        decreasingSize = sorted(combined.keys(), key=lambda x:float(x.split('x')[0]) * float(x.split('x')[1]), reverse=True)\n",
341    "        for k in decreasingSize:\n",
342    "            print k, \":\", combined[k]\n",
343    "\n",
344    "\n",
345    "class BucketProposal(object):\n",
346    "    _buckets = []\n",
347    "    def __init__(self, buckets):\n",
348    "        if not isinstance(buckets, list) or len(buckets) == 0:\n",
349    "            raise Exception(\"Tried to create a bucket proposal without an array of buckets\")\n",
350    "        self._buckets = [Bucket(b) for b in buckets]\n",
351    "        self._hasBeenReduced = False\n",
352    "        self._name = \"Manual Bucket Proposal \" + str(id(self))\n",
353    "    \n",
354    "    def setName(self, name):\n",
355    "        self._name = name\n",
356    "\n",
357    "    def __str__(self):\n",
358    "        return self._name\n",
359    "\n",
360    "    def __repr__(self):\n",
361    "        return self._name\n",
362    "\n",
363    "    def nonEmptyBuckets(self):\n",
364    "        for b in self._buckets:\n",
365    "            if b.numWindows() > 0:\n",
366    "                yield b\n",
367    "\n",
368    "    def nonEmptyNonZeroBuckets(self):\n",
369    "        for b in self.nonEmptyBuckets():\n",
370    "            if b != Resolution('0x0'):\n",
371    "                yield b\n",
372    "\n",
373    "    # This function finds the bucket with the smallest wasted space for a given resolution.\n",
374    "    def _findBucket(self, resolution, exempt=[]):\n",
375    "        best_bucket = None\n",
376    "        wasted = float(\"inf\")\n",
377    "        for b in self._buckets:\n",
378    "            if b in exempt:\n",
379    "                continue\n",
380    "            if len(exempt) > 0 and b.numWindows() == 0:\n",
381    "                continue\n",
382    "            if b.scoreWastedSpace(resolution) < wasted:\n",
383    "                best_bucket = b\n",
384    "                wasted = b.scoreWastedSpace(resolution)\n",
385    "        return best_bucket\n",
386    "\n",
387    "    def assignWindows(self, windows, exempt=[]):\n",
388    "        for w in windows:\n",
389    "            bucket = self._findBucket(w, exempt)\n",
390    "            bucket.addWindows(w)\n",
391    "        self._buckets = sorted(self._buckets, key=lambda x: x.numWindows(), reverse=True)\n",
392    "\n",
393    "    # This function reassigns windows beneath the cutoff into another bucket then empties the bucket they came from\n",
394    "    def reduceBuckets(self, cutoffPercent):\n",
395    "        if self._hasBeenReduced:\n",
396    "            # There's no reason we can't perform recurisve redcing, but that would be complicated to replicate.\n",
397    "            # Just use a larger cutoff the first time.\n",
398    "            return\n",
399    "        self._hasBeenReduced = True\n",
400    "\n",
401    "        # Find the cutoff\n",
402    "        totalBuckets = len([x for x in self.nonEmptyNonZeroBuckets()])\n",
403    "        totalToEliminate = 0\n",
404    "        getNext = False\n",
405    "        minWindowsCutoff = 0.0\n",
406    "        cumWindows = 0.0\n",
407    "        totalWindows = np.sum([b.numWindows() for b in self.nonEmptyBuckets()])\n",
408    "        for b in self.nonEmptyNonZeroBuckets():\n",
409    "            totalToEliminate += 1 # Used as a counter instead of a separate variable\n",
410    "            cumWindows += b.numWindows()\n",
411    "            if getNext:\n",
412    "                minWindowsCutoff = b.numWindows() + 1\n",
413    "                break\n",
414    "            elif (cumWindows / totalWindows) >= cutoffPercent:\n",
415    "                getNext = True\n",
416    "        totalToEliminate = totalBuckets - totalToEliminate + 1\n",
417    "\n",
418    "        # No cutoff, no reassignment\n",
419    "        if minWindowsCutoff == 0.0:\n",
420    "            return\n",
421    "\n",
422    "        #print \"[D] The minWindowsCutoff is\", minWindowsCutoff, \"which should eliminate\", totalToEliminate, \"of\", totalBuckets\n",
423    "\n",
424    "        # Now do the reassignment, starting at the fewest number of windows\n",
425    "        indx = 0\n",
426    "        bucketsToIgnore = []\n",
427    "        shouldReprocess = True\n",
428    "        while shouldReprocess:\n",
429    "            shouldReprocess = False\n",
430    "            reversedBuckets = sorted(self._buckets, key=lambda x: x.numWindows())\n",
431    "            for b in reversedBuckets:\n",
432    "                if b.numWindows() == 0:\n",
433    "                    continue\n",
434    "                if b == '0x0':\n",
435    "                    continue\n",
436    "                if b.numWindows() > minWindowsCutoff:\n",
437    "                    break # Finally done\n",
438    "                indx += 1\n",
439    "                winData = b.stealAllWindows()\n",
440    "                bucketsToIgnore.append(b)\n",
441    "                self.assignWindows(winData, bucketsToIgnore)\n",
442    "                shouldReprocess = True\n",
443    "                break\n",
444    "            #if indx % 100 == 0:\n",
445    "            #    print \"[D] On\", indx, \"of\", totalToEliminate\n",
446    "\n",
447    "\n",
448    "    def printAssignments(self):\n",
449    "        totalWindows = np.sum([b.numWindows() for b in self._buckets])\n",
450    "        totalBuckets = np.sum([1 for b in self.nonEmptyBuckets()])\n",
451    "        runningSum = 0.0\n",
452    "        runningIndex = 0\n",
453    "        print \"Resolution\".ljust(15), \"|\", \"Count\".ljust(9), \"|\", \"Cum % of Total\", \"|\", \"Cum # of Total\".ljust(13), \\\n",
454    "            \"|\", \"Avg Wasted Space\", \"|\", \"Std of Wasted Space\" \n",
455    "        print \"-\" * 80\n",
456    "        for b in self._buckets:\n",
457    "            if b.numWindows() == 0:\n",
458    "                break\n",
459    "            runningSum += b.numWindows()\n",
460    "            runningIndex +=  1\n",
461    "            print str(b).ljust(15), \n",
462    "            print \"|\", str(b.numWindows()).ljust(9), \n",
463    "            print \"|\", str(round(100 * (runningSum / totalWindows), 3)).ljust(14),\n",
464    "            print \"|\", str(str(runningIndex) + \" of \" + str(totalBuckets)).ljust(14),\n",
465    "            print \"|\", str(round(b.averageWastedSpace(), 3)).ljust(16), \n",
466    "            print \"|\", str(round(b.stdWastedSpace(), 3)).ljust(9)\n",
467    "\n",
468    "    def printBucketWindows(self, bucket):\n",
469    "        print bucket\n",
470    "        if bucket not in self._buckets:\n",
471    "            print \"Bucket not present\"\n",
472    "            return\n",
473    "        \n",
474    "        indx = self._buckets.index(bucket)\n",
475    "        self._buckets[indx].printWindows()\n",
476    "\n",
477    "    def _printUnusuals(self, filter):\n",
478    "        totalWindows = np.sum([b.numWindows() for b in self._buckets])\n",
479    "        totalBuckets = np.sum([1 for b in self.nonEmptyBuckets()])\n",
480    "        runningSum = 0.0\n",
481    "        runningIndex = 0\n",
482    "        print \"Resolution\".ljust(15), \"|\", \"Count\".ljust(9), \\\n",
483    "            \"|\", \"Avg Wasted Space\".ljust(16), \"|\", \"Std of Wasted Space\".ljust(11)\n",
484    "        print \"-\" * 70\n",
485    "        for b in self.nonEmptyBuckets():\n",
486    "            if not filter(b):\n",
487    "                continue\n",
488    "            runningSum += b.numWindows()\n",
489    "            runningIndex +=  1\n",
490    "            print str(b).ljust(15), \n",
491    "            print \"|\", str(b.numWindows()).ljust(9), \n",
492    "            print \"|\", str(round(b.averageWastedSpace(), 3)).ljust(16), \n",
493    "            print \"|\", str(round(b.stdWastedSpace(), 3)).ljust(11)\n",
494    "\n",
495    "    def _printUnusualsDetailed(self, filter):\n",
496    "        for b in self.nonEmptyBuckets():\n",
497    "            if not filter(b):\n",
498    "                continue\n",
499    "            self.printBucketWindows(str(b))\n",
500    "            print \"\"\n",
501    "\n",
502    "    def printUnusualAverages(self):\n",
503    "        self._printUnusuals(lambda x: x.averageWastedSpace() >= 100)\n",
504    "\n",
505    "    def printUnusualStd(self):\n",
506    "        self._printUnusuals(lambda x: x.stdWastedSpace() > 30)\n",
507    "\n",
508    "    def printUnusualAveragesDetailed(self):\n",
509    "        self._printUnusualsDetailed(lambda x: x.averageWastedSpace() >= 100)\n",
510    "\n",
511    "    def printUnusualStdDetailed(self):\n",
512    "        self._printUnusualsDetailed(lambda x: x.stdWastedSpace() > 30)\n",
513    "\n",
514    "    def _graphThing(self, title, xlabel, xmax, key, filter):\n",
515    "        y = [str(b) for b in filter()]\n",
516    "        y_pos = np.arange(len(y))\n",
517    "        x = [key(b) for b in filter()]\n",
518    "        \n",
519    "        # And now we can graph the total number of windows that would fall into each bucket.\n",
520    "        plt.rcdefaults()\n",
521    "        fig_size = plt.rcParams[\"figure.figsize\"]\n",
522    "        fig_size[1] *= 5\n",
523    "        plt.rcParams[\"figure.figsize\"] = fig_size\n",
524    "        fig, ax = plt.subplots()\n",
525    "        \n",
526    "        ax.barh(y_pos, x, align='center',\n",
527    "                color='green', ecolor='black')\n",
528    "        ax.set_yticks(y_pos)\n",
529    "        ax.set_yticklabels(y, fontsize=8)\n",
530    "        ax.invert_yaxis()  # labels read top-to-bottom\n",
531    "        ax.set_xlabel(xlabel)\n",
532    "        ax.set_title(title)\n",
533    "        if xmax:\n",
534    "            plt.xlim(0, xmax)\n",
535    "        plt.show()\n",
536    "\n",
537    "    def graphDistribution(self):\n",
538    "        self._graphThing('Number of Windows per Resolution Bucket', 'Number of Windows', \\\n",
539    "            None, lambda x:x.numWindows(), self.nonEmptyBuckets)\n",
540    "\n",
541    "    def graphWastedSpace(self):\n",
542    "        self._graphThing('Wasted Resolution per Bucket As Percentage', 'Percent of Bucket (Capped at 100%)', \\\n",
543    "            100, lambda x:x.averageWastedSpace(), self.nonEmptyNonZeroBuckets)\n",
544    "\n",
545    "    def fitnessA(self):\n",
546    "        numBuckets = len([x for x in self.nonEmptyNonZeroBuckets()])\n",
547    "        return max(0, 0.9996482136067768 + \\\n",
548    "            (-0.000140566459353168 * numBuckets) + \\\n",
549    "            (-6.385233408635209e-7 * (numBuckets^2)) + \\\n",
550    "            (2.2944717796500318e-10 * (numBuckets^3)))\n",
551    "\n",
552    "    def fitnessB(self):\n",
553    "        windowsInBuckets = []\n",
554    "        for b in self.nonEmptyNonZeroBuckets():\n",
555    "            windowsInBuckets.append(b.numWindows())\n",
556    "\n",
557    "        val = (1 - (np.std(windowsInBuckets) / 5.0 / np.average(windowsInBuckets)))\n",
558    "        return max(0, val)\n",
559    "\n",
560    "    def fitnessC_Average(self):\n",
561    "        return max(0, 1 - np.average([b.averageWastedSpace() for b in self.nonEmptyNonZeroBuckets()]) / 100)\n",
562    "\n",
563    "    def fitnessC_Distribution(self):\n",
564    "        return max(0, (1 - (np.std([b.stdWastedSpace() for b in self._buckets]) / \\\n",
565    "            5.0 / \\\n",
566    "            np.average([b.averageWastedSpace() for b in self._buckets]))))\n",
567    "\n",
568    "    def fitnessC(self):\n",
569    "        return (.2 * self.fitnessC_Distribution()) + (.8 * self.fitnessC_Average())\n",
570    "\n",
571    "    def fitnessD(self):\n",
572    "        return 1\n",
573    "\n",
574    "    def fitness(self):\n",
575    "        return (self.fitnessA() * .25) +  (self.fitnessB() * .25) + (self.fitnessC() * .25) + (self.fitnessD() * .25)\n",
576    "\n",
577    "    def printFitness(self):\n",
578    "        just = max(len(\"Fitness(Num Buckets)\"), len(\"Fitness(Distribution)\"), len(\"Fitness(Wasted Space)\"), len(\"Fitness(Std of Wasted)\"))\n",
579    "        print \"Fitness(Num Buckets)\".ljust(just), self.fitnessA()\n",
580    "        print \"Fitness(Distribution)\".ljust(just), self.fitnessB()\n",
581    "        print \"Fitness(Wasted Space)\".ljust(just), self.fitnessC()\n",
582    "        print \"Fitness(Wasted Space Avg) \".ljust(just), self.fitnessC_Average()\n",
583    "        print \"Fitness(Wasted Space Dist)\".ljust(just), self.fitnessC_Distribution()\n",
584    "        print \"Fitness(Std of Wasted)\".ljust(just), self.fitnessD()\n",
585    "        print \"\"\n",
586    "        print \"Fitness\".ljust(just), self.fitness()\n",
587    "        \n",
588    "class RangeProposal(BucketProposal):\n",
589    "    def __init__(self, horizontalStep, horizontalMax, verticalStep, verticalMax):\n",
590    "        buckets = []\n",
591    "        for i in range(horizontalStep, horizontalMax+1, horizontalStep):\n",
592    "            for j in range(verticalStep, verticalMax+1, verticalStep):\n",
593    "                buckets.append(str(i) + 'x' + str(j))\n",
594    "        # Note we always need a 0x0 bucket for small resolutions to fit into (otherwise we get a calculation error)\n",
595    "        # How we actually handle this bucket is TBD.\n",
596    "        buckets.append('0x0')\n",
597    "        \n",
598    "        super(RangeProposal, self).__init__(buckets)\n",
599    "\n",
600    "        # Save the settings we made this one with:\n",
601    "        self.horizontalStep = horizontalStep\n",
602    "        self.horizontalMax = horizontalMax\n",
603    "        self.verticalStep = verticalStep\n",
604    "        self.verticalMax = verticalMax\n",
605    "\n",
606    "        self.setName(\"Up to \" + str(self.horizontalMax) + \" x \" + str(self.verticalMax) + \\\n",
607    "            \" in \" + str(self.horizontalStep) + \" x \" + str(self.verticalStep) + \" increments\")\n",
608    "\n",
609    "class SteppedRangeProposal(BucketProposal):\n",
610    "    def __init__(self, stepSets):\n",
611    "        buckets = []\n",
612    "        for s in stepSets:\n",
613    "            (horizontalMin, horizontalStep, horizontalMax, verticalMin, verticalStep, verticalMax) = s\n",
614    "            for i in range(horizontalMin, horizontalMax+1, horizontalStep):\n",
615    "                for j in range(verticalMin, verticalMax+1, verticalStep):\n",
616    "                    size = str(i) + 'x' + str(j)\n",
617    "                    if size not in buckets:\n",
618    "                        buckets.append(size)\n",
619    "        # Note we always need a 0x0 bucket for small resolutions to fit into (otherwise we get a calculation error)\n",
620    "        # How we actually handle this bucket is TBD.\n",
621    "        buckets.append('0x0')\n",
622    "\n",
623    "        super(SteppedRangeProposal, self).__init__(buckets)\n",
624    "\n",
625    "        self.setName(\"SteppedRangeProposal:\" + str(stepSets))\n",
626    "\n",
627    "class RangeThenReductionProposal(RangeProposal):\n",
628    "    def __init__(self, horizontalStep, horizontalMax, verticalStep, verticalMax, cutoffPercent):\n",
629    "        super(RangeThenReductionProposal, self).__init__(horizontalStep, horizontalMax, verticalStep, verticalMax)\n",
630    "        self._cutoffPercent = cutoffPercent\n",
631    "        self.setName(str(self) + \" then reduced to \" + str(cutoffPercent))\n",
632    "\n",
633    "    def assignWindows(self, windows, exempt=[]):\n",
634    "        super(RangeThenReductionProposal, self).assignWindows(windows, exempt)\n",
635    "        super(RangeThenReductionProposal, self).reduceBuckets(self._cutoffPercent)\n",
636    "\n",
637    "class SteppedRangeProposalThenReductionProposal(SteppedRangeProposal):\n",
638    "    def __init__(self, stepSets, cutoffPercent):\n",
639    "        super(SteppedRangeProposalThenReductionProposal, self).__init__(stepSets)\n",
640    "        self._cutoffPercent = cutoffPercent\n",
641    "        self.setName(str(self) + \" then reduced to \" + str(cutoffPercent))\n",
642    "\n",
643    "    def assignWindows(self, windows, exempt=[]):\n",
644    "        super(SteppedRangeProposalThenReductionProposal, self).assignWindows(windows, exempt)\n",
645    "        super(SteppedRangeProposalThenReductionProposal, self).reduceBuckets(self._cutoffPercent)\n",
646    "\n",
647    "\n",
648    "\n",
649    "def dumpArrayOfRanges(ranges):\n",
650    "    columns = [\n",
651    "        \"Name\" ,\n",
652    "        \"Num Buckets\",\n",
653    "        \"Num Non-Empty Buckets\",\n",
654    "        \"Fitness\",\n",
655    "        \"Num Buckets (A)\",\n",
656    "        \"Windows Dist (B)\",\n",
657    "        \"Wasted Space(C)\",\n",
658    "        \"Wasted Dist (C1)\",\n",
659    "        \"Wasted Avg (C2)\",\n",
660    "        \"Wasted Std (D)\",\n",
661    "        ]\n",
662    "    print \",\".join(columns)\n",
663    "    for r in ranges:\n",
664    "        values =[\n",
665    "            str(r).replace(\",\", \":\"),\n",
666    "            len(r._buckets),\n",
667    "            len([i for i in r.nonEmptyBuckets()]),\n",
668    "            r.fitness(),\n",
669    "            r.fitnessA(),\n",
670    "            r.fitnessB(),\n",
671    "            r.fitnessC(),\n",
672    "            r.fitnessC_Distribution(),\n",
673    "            r.fitnessC_Average(),\n",
674    "            r.fitnessD()\n",
675    "            ]\n",
676    "        print \",\".join([str(i) for i in values])\n",
677    "\n",
678    "def dumpBucketSizes(proposals):\n",
679    "    for p in proposals:\n",
680    "        first = True\n",
681    "        print p\n",
682    "        print \"\\t\",\n",
683    "        prefString = \"\"\n",
684    "        for b in p.nonEmptyBuckets():\n",
685    "            if b == \"0.0 x 0.0\":\n",
686    "                continue\n",
687    "            prefString += str(b).replace(\" \", \"\").replace(\".0\", \"\") + \",\"\n",
688    "        print prefString[:-1]\n",
689    "        print \"\""
690   ]
691  },
692  {
693   "cell_type": "code",
694   "execution_count": 5,
695   "metadata": {},
696   "outputs": [
697    {
698     "name": "stdout",
699     "output_type": "stream",
700     "text": [
701      "1366.0 x 654.0: 2097\n",
702      "1366.0 x 635.0: 778\n"
703     ]
704    }
705   ],
706   "source": [
707    "# Convert windata to our class structure. Check the type in case we're re-running this\n",
708    "if not isinstance(windata[0], (UserResolutionData, SpecialUserResolutionData)):\n",
709    "    newWindata = []\n",
710    "    for w in windata:\n",
711    "        nw = UserResolutionData(w['resolution'], w['numWindows'])\n",
712    "        newWindata.append(nw)\n",
713    "\n",
714    "    windata = newWindata\n",
715    "    windata = sorted(windata, reverse=True)\n",
716    "print windata[0]\n",
717    "print windata[1]"
718   ]
719  },
720  {
721   "cell_type": "markdown",
722   "metadata": {},
723   "source": [
724    "# Let's graph the number of Windows per resolution for illustrative purposes.\n",
725    "\n",
726    "We cap it at 75 rows to fit nicely in an image."
727   ]
728  },
729  {
730   "cell_type": "code",
731   "execution_count": 6,
732   "metadata": {},
733   "outputs": [
734    {
735     "data": {
736      "image/png": 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YNmLECEyePBlbt26Fs7Oz8H6joqKwc+dOdOjQAatWrVL7sT5x4gRWr16N7du3w9PTU20b\n2dnZsLGxwXfffVdpY9qaiImJwd27d6Gjo4O2bduqzatpGU+cOIGSkhJ88803GndvCwoKUK9ePeH/\nvr6+WtsGqfbXpk2b0KVLl2p/16rj7bffxttvvy2EiZo8zVm/fj2ys7MxYcIEtR7IBg4ciJkzZ2LV\nqlX45Zdf1N6jUqnEhQsXsHbtWrXvmJ+fH3755RccO3YMn3zySZXbvnv3Lh49eqT1jrhCoUBCQgIA\nVNmmoXnz5mjUqBGys7ORlJSEDh06QFdXF927d8dff/2FGTNm4OOPP4adnR1atGgh6vOVnp6O48eP\n1+h788EHH1TrOKve37NhITo6GnZ2dpDJZMLTi9u3bwttQ1RVOWvS5iMmJgbjxo3DmDFjhGm9e/fG\nggULsG/fPrXjuW/fPiQlJcHZ2RlLly4Vpqs+y9r2RU0+T/r6+mjXrh3i4+PVLuwjIyPRqlUrZGZm\nqoWJGzdu4NGjR2q/k0ePHgUAfPvttxpPmvLy8rTugzZt2iAuLg7Xrl1D165dq7vrSIt/Tpc1RC+J\ni4sLbG1tERISgmvXrtXadlxdXdWCBADhgr9FixYavc+89957UCqVuH79usa6JBIJxo4dq9ZoUldX\nFxMnToRSqcSxY8eE6cePH0dhYSHc3d01qhnY2Nigf//+uH79Ou7evauxjREjRtTo4ubChQvIz89H\n79691YIEAAwbNgzW1taIiIjAgwcPqr3OyqjqAkdHRwvTYmJiYGdnB6lUChsbG9SvX1/th/jZu/TV\nNWPGDLU7oPXr10f37t3x+PFj3Lt3T5h+7NgxSCQSjBo1Sq06jOrYaKN6jaenp1qvYWZmZhgzZgyU\nSiX++OMPYbpcLhdCUsX31bp1a/To0QMPHjxAamoqAOD69evIz8/XeL9KpVLrHV19ff0aNT6USqUa\nddqtra0xePBgKBQKnDx5Uph+8OBBSCQSzJ07V+Ou3/vvv4+WLVvi9OnTWrfj6ekpOkionjRs27YN\ny5Ytw7x58wAAU6dO1bgrLbaM2vZZxeNfWlqK06dPw9DQUGN/NW3aFIMHD0Zpaana/qpLDx48QERE\nBCwtLTUu/m1tbdG7d2/k5+fj/PnzGq9VVX+raMCAAVAqlUIIqEpmZiYAaO0QIT8/H6WlpQAgBOTn\nUS2TlZUlTPviiy/g7OyM9PR0+Pr6Ytq0aejXrx8mTpyIn3/+GTk5OdUqJ1AeJnbt2lWjv/T09Gqt\n+4033oCFhQVu376N3NxcAOW9UD18+FA4/3Xq1AlKpVLtPKetKmdVrKysMHr0aLVpXbp0gaWlJRIT\nE9WmHz9+HFKpFJMnT1abrvruK5VKteliPk9yuRxlZWXCkw5V1a133nlH46aJtvO6KtBo+25W9nRM\ndT6oza5zXxd8MkGvJU9PT0yfPh0//fQTvv/++1rZxrPVaoD//li2atVKY56qx43KLrxVVYIqUl1I\nVwwgqh/w69eva+2z/j//+Q8A4M6dOxpho2J92+pISUmBRCLReudfJpOhY8eOOHXqFFJSUtTqu4oh\nl8uFutMuLi64c+cOsrKyMGzYMGEZBwcHRERECP8X8yNrZGSktaqF6iIlPz9fmJaSkgLg+cemoqKi\nIty/fx8WFhZ44403tL7HiusFyuv86+vrC2Hi8ePHSElJwciRI4ULi4iICDRt2lT4ka3YCPPdd9/F\n1q1b8e233yIsLAxdunRBhw4dNHq8qQ5LS0utbQ7s7e01gnB8fDxkMhmCgoK0rqukpAS5ubnIz89X\nq2alp6f3t+qw79q1S2PavHnztHYNW9My9urVC7/99hu++uorODs7o3PnzujQoQOaNGmi9rp79+7h\n6dOnsLOz09qwVy6XY8+ePWrHuS6pjpvq7vezVN+9lJQUjXYH2s5zqu96QUFBtbavunNc3ep2NWVs\nbIylS5ciIyMDV65cQVJSEpKSknDjxg3cvHkTR44cwZo1a6p1/nNwcMDZs2drpZxAeVg4deoUIiMj\n0atXL+E7rTrHNm/eHA0aNEBUVBQGDRqEvLw83LhxAw0bNkTz5s2rvZ2WLVtqfaJgaWmJ+Ph44f+q\nc5alpaXW86K2c5+Yz5NcLsfOnTsRGRkJJycnREdHo6ysDHK5HFZWVjh//rxQhVVbY/M+ffogJCQE\nU6dORa9eveDg4IAOHTo893fH1NQUSqVSCG4kHsMEvZZsbW3h7OyM8+fPIygoSGujv79DIpFo7XpR\ndWJ93jzVXbhnNWjQQOtrzMzM8OjRI2FaXl4elEol/vzzz+eWsaioSGNaTesTP378GID2O4oVp1f3\nouJ5nq0CoO3C2cHBAcHBwUhJSYGlpSVu3boFc3PzGvVeU1mvLqrjU1ZWJkxTvf/nHZuKVPuhsv2s\nmq5aL1Bez79Dhw6IjIxEbm4uYmNjoVQqIZfLhepfkZGRcHNzE35kK4YnKysr/Pjjj9i5cyfCwsIQ\nEhICpVIJS0tLDB8+HIMHD37+DqlA2/usWO6KxzkvLw9lZWVaL+4rKioqUruI/Lt9/Z85cwZAeRWu\nuLg4rFmzBj4+PrC2ttYIvTUtY9u2bbFx40b4+/vjr7/+wunTp6FUKvHmm2/C3d1deNpY3eP8Ir4X\nL4KqHJV9jysrr2osj2dp+648j+pucnFxscY8ExMT6OjoQKFQIDMzs8p2bs97ymFlZYWPPvpIaKvy\n8OFDfPvttwgNDcX69euxZcuWapW3Nsnlcpw8eVItTBgZGamFNnt7e0RERAhPKJRKpdp5sDoq6xpY\nJpOpPWlQHfOqvvsVifk82draol69esI5LDIyEjo6OrCzs4OVlZXwdLZp06aIjY0VQpVKjx494O3t\njf379+PYsWM4evQolEolWrduDQ8PD60dHjx9+hQAXkh1ytcdwwS9tjw8PBAaGgo/P79Ke6RQ3Vmu\nbKTMgoKCWrub9qycnByNuywKhQK5ublqPwxGRkaQSCTYunVrje/w1nSsDdV2s7Oztc5XVTV4EX3a\nW1paokmTJkhNTcWDBw8QFRUFY2Njtac8Dg4Owg+spaWlcNFdW1TvKycnR+OOverYVKyaobrwqqxa\nhWo/Pru/5HI5IiMjERkZiWvXrkFPTw/t27cHUH53LiwsDCUlJYiNjYWNjY1GiGnWrBkWL16MsrIy\n3LhxAxERETh06JDQuPjZ7nQrU1W5K15YGhkZQalU4siRI9Vat8qLGu9FX18fcrkc3t7emDRpElat\nWoVdu3apVYMQU0ZbW1usWLECpaWlSE5ORlhYGA4dOoQVK1agfv36kMvlwn6o7HuhbX9VRiqVVnqD\n4UWFkeqWt7bGplBdFGq7QyyTydCuXTtcu3ZNeAJXmbt37yIrKwt6enrVespgbm6OxYsXY8CAAbhx\n4wYKCgqqPCa12WYC+O/ddtVNk5iYGHTs2FFte6qbJsnJyaLaS9REdc9Z2l5Tk8+TTCaDnZ0dwsPD\nkZ2djcjISLRv3x56enpC9S9VG4rCwkKt4albt27o1q0bnj59ioSEBFy8eBFHjhzBokWL4Ofnp/Ek\nPi8vDxKJpE4HK3xVsM0EvbaaNm2Kjz/+GOnp6Th48KDWZVRBQVvVo9TUVLU7yLWtYlsBldjYWJSV\nlan1zGRrawulUomrV6/WeplatmwpNPp9lkKhQGxsLADtVSHEUP1gRkREICYmRuMRe7NmzdCwYUOh\n+8Ta/JEF/ltd7XnHpiIDAwM0adJErZ1DRaq7cs/uL1W7iYiICERFRaF9+/ZCL1FyuRz5+fk4cuQI\nnjx58tz3K5VK0apVK3z66af46quvoFQqERISUu33m5mZqbV+ser9P/s5LCgowJ07d6q9/trQokUL\n9O/fHw8ePMCvv/6qNu/vlFFHRwe2trYYN24cpk+fLjRGBoA333wT+vr6uHHjhtZzhOo4a6vu+Cxj\nY2Pk5ORovaHxbN12FYlEUukNEG1Ux+3atWtanyaongK+qO/xs2xsbCCVStXaI1XUv39/KJVKHDhw\nQOvTCxXVE6b33ntPoxe1yujq6grLPlv3X5vabDMBQKgCmZaWhgsXLiAvL0/jwllVvVF1ngNQ7a6G\na8rAwABNmzbFw4cPkZaWpjFf27lP7OdJde46e/Ysbt++rXYu69SpE6KjoxEeHl7leV1fXx8ODg6Y\nOnUqRo0ahdLSUly+fFljOVW7wYrnLRKHYYJea6pGzf7+/lqr/TRr1gyGhoa4cOGC2l2z4uJibNq0\n6aWVU6lUYvfu3Wp3IouLi+Hn5weJRKJ2Z/mDDz6AsbExdu7cqfVio7KLfzH+9a9/wcTEBGfPnlWr\nZwsABw4cQFpaGjp37vy320uoqH5Ef/31VxQUFGhtq+Hg4ICrV68iPDwcQM3aS9TUBx98AKVSCX9/\nf7W2FKpjo82HH34IpVIJX19ftR/a3Nxc7N69GxKJRKN+f6tWrWBkZITQ0FDcuXNH40dWqVRi7969\nWn9kk5OTtV7Qqu4OVuydpyplZWXYsmWL2kVXWloaDh48CB0dHbX69EOHDoVSqcS6devUGsOqPHny\nROMzU1vGjBkDHR0d7N+/X+07VNMyxsXFab2YfXZf6ujooE+fPigsLMTPP/+stmxqaqrW/VWZtm3b\nQqFQ4Pjx42rTjx8/jri4OK2vMTMzq1GnBxYWFujcuTPS09Nx4MABtXnx8fE4e/YsTExMnjumwN9h\nZGSEli1b4saNG1r3b58+feDg4IDU1FQsWbJE44lMWVkZfv75Z5w9exbm5uYYP368MO/JkyfYvXt3\npXfWDxw4gKKiItjY2FTrKbOqzcSZM2eq/aetXcHzqMLDzz//rFGVEygPq40aNcLp06dx7949NG3a\n9IWdY7X54IMPUFZWBl9fX43v/qFDhzSe0oj9PFU8lwHQOM8VFBTgyJEjWtvpXb16VWuAVn03tVVl\nio+Ph5mZ2T9mnJH/ZazmRK81ExMTjBo1Sugm9dmTokwmw5AhQ7Bnzx5MnDgRPXr0gEKhQHh4OMzN\nzSutE1qdO1w1IZFI0Lx5c4wfPx7Ozs7CWAZpaWlwdHRUuygxNTXF0qVL8e9//xvTpk2DXC4XGts+\nePAAcXFxyM/P17g4EcPAwADz58/HsmXLMHv2bPTs2ROWlpZITk5GeHg4GjVqhM8///xvb0dFLpdD\nIpHg1q1bWn9kgfIfnbNnzyItLU1oU6DNizhGHTp0wKBBg3D48GF89tlnasfGxMRE67Y/+eQThIWF\n4cKFC5g4caLwWD4oKAi5ubn49NNPNXrGkkqlcHBwwIULFzQCg5WVFZo0aSIMfvfshcupU6fw+++/\nw87ODk2aNIGxsTHu37+PixcvQk9PD0OHDq32+23RogUSEhIwefJkvPPOO8jPz0dwcDAeP36MyZMn\nqzXQlMvlmDRpEvz8/DB69Gh069YNjRs3RlFRETIyMoTqG6tWrar29sUyNzeHm5sbfvvtNwQEBAg9\nLNW0jL/88guioqJgZ2eHxo0bw8DAALdv38bly5dhamqqNm7EpEmTEBsbi8OHDyMxMREODg7COBNF\nRUWYNWtWtUbjHjx4MI4fPw4fHx+hh5zr168jPj4eTk5OuHTpksZrOnXqhKCgIHh5eaFVq1bQ0dFB\nx44d0bFjx0q38/nnn2PmzJnw9fXFlStX0KZNG2FcAKlUigULFqiNCQK82POcs7MzUlJSEBUVJXSB\nrCKVSrF8+XIsXboUYWFhGDlyJBwdHWFlZYW8vDyEh4cjLS0NjRs3hre3t1pd+tLSUmzfvh07d+5E\n27Zt0bJlS5iYmCAvLw/Xrl3DrVu3YGhoqNZ9b12Ty+X4/fffcevWLZiZmaFFixYayzg4OODMmTOV\nngdfpOHDhyMkJATnz5/HpEmT0KVLF+G7b29vLzyRq0jM56lVq1YwMTHBo0ePYGhoqNaVs+qc9+jR\nI7Rp00ajyt2mTZvw8OFDdOjQAdbW1tDR0RGqgTVu3Fij98R79+4hMzMTAwYMeFG76bXGMEGvjcrq\nuA4ePBiBgYGVPooeP3486tWrhz/++ANHjx5Fw4YN4erqKowoW9ngZ88rx/MGu6ts3pIlS9RGwDY3\nN8e4ceO0jsosl8uxbds27Nu3D+Hh4YiNjYWOjg7Mzc0hl8vh4uJSaflqqnv37ti0aRP8/f0RHh4u\njID98ceduTldAAAgAElEQVQfY8yYMVob6D3vfT6P6of15s2bld5RcnBwENb9vKcSzzsGNTFjxgy8\n+eabOHz4MI4ePSqMgD1x4kRMmDBBY306OjpYt26dMAL24cOHhRGwZ8yYgV69emndjlwuR2hoqMYo\nt6p5aWlpaNOmjUYXp66urigpKUFcXBySk5NRXFwMc3NzuLq6YtiwYTXq1cnExASrV6/GTz/9JHRB\nbGNjg+HDh2v8WAMQgtHBgwcRGxuL0NBQGBsbCxf32l7zotpMPGvkyJE4evQoDh8+jGHDhgn1pGtS\nxoEDB8LExAQJCQm4du0aFAoFLCwsMGjQIAwbNkytfYyJiQl++OEHYQTsAwcOQF9fH7a2tpWOgK3t\ne9G8eXOsX78eW7duxcWLF4XA+MMPP+Cvv/7SGiZmzJgBqVSKyMhIXL58GUqlEmPHjhXChLbtNG7c\nGD/99BN2796Ny5cvIyYmBkZGRujWrRtGjRqltQ1CVee5mujXrx927NiBkydPaoQJoLy617p16xAc\nHIyTJ08iKioKubm5MDAwQPPmzTFo0CC4ublpdA1qZGSE1atXIyIiArGxscJTZj09PVhbW2Po0KEY\nMmTICx3v4+/q1KmTsP8qGyOnYq9SNX36WtPzr66uLnx8fLBjxw6cO3cOBw8ehLW1NcaOHYvu3bsj\nNDT0hX2eHBwcEBISAnt7e7Xe8FTVv1JTU7W+39GjR+P8+fNITk4WqlGpur8dMmSIRlsYVbuXjz/+\nuNr7gSonOXfu3Iu9hUpERK8c1XgCPj4+dV0UekX5+Pjg5MmTCAgIqLT3IKK/q6SkBCNHjoSNjQ3W\nrl1b18V5JbDNBBEREdW58ePHQ0dHB3v27KnrotAr7MiRI8jJyRFGtqe/j2GCiIiI6lyDBg3g5eUl\nDOBJVBv09PQwb948Nrx+gdhmgoiIqlRbbRmIKnJycoKTk1NdF4NeYW5ubnVdhFcO20wQEREREZEo\nrOZERERERESisJoTVerRo0cIDw+HtbW1Rnd7RERERFT3iouLkZ6ejnfeeUfo9vplYpigSoWHh2PF\nihV1XQwiIiIiqoKXlxf69Onz0rfLMEGVUo3OumfPHrRr166OS/PqmjNnDjZs2FDXxXhlcf/WPu7j\n2sX9W/u4j2sf93HtSUhIwOjRo4XrtpeNYYIqpara1K5duxqPsEnVZ2Zmxv1bi7h/ax/3ce3i/q19\n3Me1j/u49tVVlXQ2wCYiIiIiIlEYJoiIiIiISBSGCSIiIiIiEoVhgqiOjRgxoq6L8Erj/q193Me1\ni/u39nEf1z7u41cXwwRRHeMJtnZx/9Y+7uPaxf1b+7iPax/38auLYYKIiIiIiERhmCAiIiIiIlEY\nJoiIiIiISBSGCSIiIiIiEoVhgoiIiIiIRGGYICIiIiIiURgmiIiIiIhIFIYJIiIiIiIShWGCiIiI\niIhEYZggIiIiIiJRGCaIiIiIiEgUhgkiIiIiIhKFYYKIiIiIiERhmCAiIiIiIlEYJoiIiIiISBSG\nCSIiIiIiEoVhgoiIiIiIRGGYICIiIiIiURgmiIiIiIhIFIYJIiIiIiIShWGCiIiIiIhEYZggIiIi\nIiJRGCaIiIiIiEgUhgkiIiIiIhKFYYKIiIiIiERhmCAiIiIiIlEYJoiIiIiISBSGCSIiIiIiEoVh\ngoiIiIiIRGGYICIiIiIiURgmiIiIiIhIFIYJIiIiIiIShWGCiIiIiIhEYZggIiIiIiJRGCaIiIiI\niEgUhgkiIiIiIhKFYYKIiIiIiERhmCAiIiIiIlEYJoiIiIiISBSGCSIiIiIiEoVhgoiIiIiIRGGY\nICIiIiIiURgmiIiIiIhIFIYJIiIiIiIShWGCiIiIiIhEYZggIiIiIiJRGCaIiIiIiEgUhgkiIiIi\nIhKFYYKIiIiIiERhmCAiIiIiIlEYJoiIiIiISBSGCSIiIiIiEoVhgoiIiIiIRGGYICIiIiIiURgm\niIiIiIhIFIYJIiIiIiIShWGCiIiIiIhEYZggIiIiIiJRGCaIiIiIiEgUhgkiIiIiIhKFYYKIiIiI\niERhmCAiIiIiIlEYJoiIiIiISBSGCSIiIiIiEoVhgoiIiIiIRGGYICIiIiIiURgmiIiIiIhIFIYJ\nIiIiIiIShWGCiIiIiIhEYZggIiIiIiJRGCaIiIiIiEgUhgkiIiIiIhKFYYKIiIiIiERhmCAiIiIi\nIlEYJoiIiIiISBSGCSIiIiIiEoVhgoiIiIiIRGGYICIiIiIiURgmiIiIiIhIFIYJIiIiIiIShWGC\niIiIiIhEYZggIiIiIiJRGCaIiIiIiEgUhgkiIiIiIhKFYYKIiIiIiERhmCAiIiIiIlEYJoiIiIiI\nSBSGCSIiIiIiEoVhgoiIiIiIRGGYICIiIiIiURgmiIiIiIhIFIYJIiIiIiIShWGCiIiIiIhEYZgg\nIiIiIiJRGCaIiIiIiEgUhgkiIiIiIhKFYYKIiIiIiERhmCAiIiIiIlEYJoiIiIiISBSGCSIiIiIi\nEoVhgoiIiIiIRGGYICIiIiIiURgmiIiIiIhIFIYJIiIiIiIShWGCiIiIiIhEYZggIiIiIiJRGCaI\niIiIiEgUhgkiIiIiIhKFYYKIiIiIiERhmCAiIiIiIlEYJoiIiIiISBSGCSIiIiIiEoVhgoiIiIiI\nRGGYICIiIiIiURgmiIiIiIhIFIYJIiIiIiIShWGCiIiIiIhEYZggIiIiIiJRGCaIiIiIiEgUhgki\nIiIiIhKFYYKIiIiIiERhmCAiIiIiIlEYJoiIiIiISBSGCSIiIiIiEoVhgoiIiIiIRGGYICIiIiIi\nURgmiIiIiIhIFIYJIiIiIiIShWGCiIiIiIhEYZggIiIiIiJRGCaIiIiIiEgUhgkiIiIiIhKFYYKI\niIiIiERhmCAiIiIiIlEYJoiIiIiISBSGCSIiIiIiEoVhgoiIiIiIRGGYICIiIiIiURgmiIiIiIhI\nFIYJIiIiIiIShWGCiIiIiIhEYZggIiIiIiJRGCaIiIiIiEgUhgkiIiIiIhJFp64LQP98CQkJdV0E\nolplbm6OZs2a1XUxiIiI/ucwTFCVRo8eXddFIKpV9QzqISkxiYGCiIiohhgmqGq9ALSq60IQ1ZKH\nwJODT/Dw4UOGCSIiohqqUZjYtGkTQkNDkZGRAT8/P7z99tvCvNWrVyM5ORlSqRQ6Ojrw8PCAXC4X\n5h8+fBiHDx+GTCaDVCrF5s2boaurCwAIDg7Grl27oFQqIZFI4O3tDSsrK43tP3r0CCtXrsT9+/eh\np6eHWbNmoWPHjmLfOwCgoKAA3333HZKSkqCjowMnJyd4eHgAAD799FPo6+tDT08PEokEI0eORM+e\nPdVeHxkZiXnz5sHT0xNDhgzRuo34+Hj4+PiguLgYFhYWWLRoERo1alRl2VavXo24uDjo6+vDwMAA\n06ZNQ5s2bQAAT58+xZo1a5CUlASpVIoJEybAxcUFAJCTk4MNGzYgNTUVCoUCH330EYYOHQoA2LNn\nD4KDgyGRSKBUKpGWlob+/ftj6tSplRekAYAmVRaXiIiIiF4zNQoTPXv2xIgRIzBz5kyNedOnT4eR\nkREA4Pr165g7dy6OHDkCAAgJCcHZs2fx448/wsDAALm5udDRKd90SkoKtm/fDh8fHzRs2BBFRUWQ\nyWRat79lyxbY2tpi9erVSEpKwuLFixEQEFDp8tWxZs0a2NnZwcvLC0D5hbiKVCrFkiVL0KJFC62v\nffz4Mfz8/ODo6Fjp+pVKJby9vTFv3jzY29tj//792LRpE5YuXVpl2ZydnTFv3jxIpVJcvHgRS5cu\nRUBAAABg37590NPTw549e5Ceng5PT0/I5XKYmJhg8+bNsLGxwfLly/HkyRPMmDEDdnZ2aNOmDUaP\nHi1UWyopKcGwYcPQt2/f6u4uIiIiIiJBjXpzsrOzg7m5OZRKpcY8VZAAyu/2V7R//364u7vDwMAA\nAGBmZgaJRAIA+PXXXzFs2DA0bNgQAGBgYAA9PT2t2w8KCoKbmxsAoE2bNjA3N0dMTIzGcqdPn8aU\nKVNQWloKAPDy8oK/v7/GcqmpqUhOTsawYcOEaQ0aNBD+rVQqtb5Xle+++w5jx46FqalppcskJydD\nR0cH9vb2AIABAwbg4sWLKCkpqfQ1Kk5OTpBKyw+Rra0tsrKyUFZWBgA4d+6csC+sra1hb2+P8+fP\nAwBu3LghBJx69eqhY8eOOHXqlMb6z58/D0tLS7Rs2bLKshARERERPeuFtpnw8/NDUFAQCgoKsGzZ\nMmH6nTt3kJiYiB07dqC0tBR9+/bF4MGDAQC3b9+GtbU1Zs+ejcLCQjg6OmL8+PFC2FDJy8uDQqFQ\nu9i3srJCZmamRjn69OmD2NhYbN68GVZWVlAoFBg1apTGcnfu3IG5uTl8fHyQlJQEMzMzTJo0Se3i\n2tvbGwDQrl07eHh4wMzMDEB51SyZTAYnJyf89ddfle6TjIwMtSpbBgYGMDIyQlZWFqytrbFu3Tp0\n794dTk5Oz923v/32G7p16yaEi8zMTLX1WltbC/uidevWOH36NNq1a4fc3FxcuXJFa13wY8eO4cMP\nP3zudomIiIiIKvNCx5nw8PCAv78/lixZAl9fXygUCgCAQqFAeno6Nm7ciFWrVuH333/HpUuXhHnX\nr1/H2rVrsXHjRsTFxQnVo/6OadOm4erVqzh06JBQhelZCoUCCQkJcHV1ha+vL4YOHYqFCxcK5d64\ncSO2bduGLVu2wNTUFCtXrgQAZGdnY8+ePZg+ffrfLucXX3xRZZA4deoUgoODMXfu3Gqtc+rUqSgq\nKoKHhwdWrFiBTp06aVQFS09Px7Vr11jFiYiIiIhEq5XenORyOQoLC3Hz5k20atUKVlZWcHV1hUQi\ngZmZGbp164b4+Hg4OjrCysoKzs7O0NXVha6uLnr06IH4+HgMHDhQbZ2mpqaQyWTIyckRnk6kp6fD\n0tJSaxlycnJQUFAApVKJvLw8mJiYaCxjaWkJCwsLoQpS165dUVpaioyMDDRp0gQWFhYAAJlMhqFD\nh2Ls2LEAyqsuZWdnw8PDA0qlErm5uQgNDUVubi4+++wztW1YWVkhPT1d+H9RUREeP35crQbYAHD2\n7Fns3r0b69evR/369dXWm5GRIVQPS09PR5cuXQCUVyNbsGCBsOyGDRtgY2Ojtt4TJ06ge/fuMDY2\nrroQoQCuPTPN7v//iIiIiOilCAgIENrPquTm5tZRacq9kCcTCoUCqampwv8TEhLw6NEjNG7cGADg\n6uqKy5cvAyjvhSgmJkboCcrV1RVXrlyBUqmEQqFAeHh4pXX4XVxcEBgYCABITExEVlaWEASeLc/X\nX3+NCRMmwNPTE8uWLRPaT1TUpk0bGBkZ4ebNm0K5gfKQ8eTJE7W2H6dPnxbK5ejoiN9++w179+5F\nQEAAXFxcMHbsWI0gAZRXOVIoFIiOjgYABAYGwsnJSejJ6nnOnTuH7du3Y926dUKw0bYv0tLSEBMT\ng3/9618A/lslDChv4H7hwgV8/PHHwmuVSiWOHTuG/v37V1kGAMC7AEY+88cgQURERPRSjRgxAoGB\ngWp/GzZsqNMy1ejJhI+PDy5duoScnBzMnz8fhoaG2L17N0pLS7Fq1SoUFhZCKpXCwMAAy5YtE+56\nDx06FD4+Phg3bhykUilcXFyEbkx79+6NlJQUjB8/HjKZDHZ2dkIXq0lJSdixY4dQvWjSpEnw9vbG\nmDFjoKurCy8vL609Ofn5+aFZs2ZCFZ6YmBh8//33mD17tsayX375JdatW4fi4mLo6upi+fLl0NHR\nwYMHD7BkyRKUlZVBqVSiSZMmWLhwYbX2U2BgILKzszFu3DhIJBIsWrQI69evR0lJCczNzdXW87w2\nE97e3mjUqBG++uorodvc9evXw8TEBJ988gnWrFmDUaNGQSaTYdasWUJD8MTERGzatAkymQyGhoZY\nsmSJ8AQDACIiIiCTydCpU6dqvR8iIiIiIm0k586dq7y7InqtJScnY/LkycBgAH9vOA+if677ALaU\nh+yKY+MQERH9L4iMjETnzp3h6+uL1q1bv/Ttv9AG2ERERERE9PqolQbY9IrJQfndW6JX0cO6LgAR\nEdH/LoYJqtq5//8jekXVM6gHc3Pzui4GERHR/xyGCarSnj170K5du7ouBlGtMTc31zqwIxERET0f\nwwRRDfHCk4iIiKgcwwRVafTo0XVdhH+Uegb1kJSYxEBBRERErz2GCapaLwCt6roQ/xAPgScHn+Dh\nw4cME0RERPTae2FhYtOmTQgNDUVGRgb8/PyEEa4BYPXq1UhOToZUKoWOjg48PDzU+nM/fPgwDh8+\nDJlMBqlUis2bNwsjRAcHB2PXrl3CoG3e3t6wsrLS2P6jR4+wcuVK3L9/H3p6epg1axY6dvx7gyMU\nFBTgu+++Q1JSEnR0dODk5AQPDw8AwLx585CTkwOJRAJDQ0PMmDFDGCF79uzZyMzMFAbte++99zB0\n6FCt24iPj4ePjw+Ki4thYWGBRYsWoVGjRlWWzdPTUxjVu7S0FLdv38a2bdvw1ltv4d///jfS09MB\nlI92ffPmTXzzzTdwcnJCbm4u1qxZg/T0dCgUCrRr1w5z5syBnp5e5RtrAKBJdfcaEREREb0uXliY\n6NmzJ0aMGIGZM2dqzJs+fTqMjIwAANevX8fcuXNx5MgRAEBISAjOnj2LH3/8EQYGBsjNzYWOTnmx\nUlJSsH37dvj4+KBhw4YoKirSOuI1AGzZsgW2trZYvXo1kpKSsHjxYgQEBFS6fHWsWbMGdnZ28PLy\nAgDk5OQI85YuXSq8p5CQEKxatQpbt24FAEgkEkyfPh3vvvvuc9evVCrh7e2NefPmwd7eHvv378em\nTZuwdOnSKsu2efNm4d+qwPXWW28BAJYvXy7MS0pKwpdffomuXbsCKG9M/cYbb2DFihVQKpX48ssv\ncfz4cbi5uVVjjxARERER/dcLG7TOzs4O5ubmUCo1B9RWXXQD5Xf7K9q/fz/c3d1hYGAAADAzM4NE\nIgEA/Prrrxg2bBgaNmwIADAwMKj0DnpQUJBwQdymTRuYm5sjJiZGY7nTp09jypQpwl19Ly8v+Pv7\nayyXmpqK5ORkDBs2TJjWoEGDSt+TVKq+K8vKyrSWs6Lk5GTo6OjA3t4eADBgwABcvHgRJSUlVb62\nomPHjqFfv35a5/3555/o06ePWqgqLCyEUqlEcXExnjx5AgsLixptj4iIiIgIeIltJvz8/BAUFISC\nggIsW7ZMmH7nzh0kJiZix44dKC0tRd++fTF48GAAwO3bt2FtbY3Zs2ejsLAQjo6OGD9+vBA2VPLy\n8qBQKNQu9q2srJCZmalRjj59+iA2NhabN2+GlZUVFAoFRo0apbHcnTt3YG5uDh8fHyQlJcHMzAyT\nJk0SqjIBwMqVKxEdHQ2JRIKVK1eqvX7Lli3Yvn07bGxsMHHiRDRu3FhjGxkZGWpVtgwMDGBkZISs\nrCxYW1tj3bp16N69O5ycnCrdr5mZmYiJicGiRYs05hUXF+Ps2bPYuHGjMG3s2LFYsmQJhgwZguLi\nYri6uj53/URERERElXlhTyaq4uHhAX9/fyxZsgS+vr5QKBQAAIVCgfT0dGzcuBGrVq3C77//jkuX\nLgnzrl+/jrVr12Ljxo2Ii4sTqkf9HdOmTcPVq1dx6NAhoQrTsxQKBRISEuDq6gpfX18MHToUCxcu\nFMoNAAsXLsS+ffvw2WefwdfXV5i+aNEi7Nq1C9u2bUOHDh2wcOFCUeX84osvqrzQP3HiBJycnGBq\naqoxLygoCG+++aZQ/QkAzpw5AxsbGxw8eBC//vor7t27hz///FNU+YiIiIjo9fbSwoSKXC5HYWEh\nbt68CaD8CYKrqyskEgnMzMzQrVs3xMfHC/OcnZ2hq6uLevXqoUePHsK8ikxNTSGTydTaNKSnp8PS\n0lJrGXJyclBQUAClUom8vDyty1haWsLCwkKogtS1a1eUlpYiIyNDY9n33nsP0dHRyM/PBwC1akOD\nBg1CWlqaMK8iKysroaE0ABQVFeHx48fVaoCtcvz4cfTv31/rPG3VnwIDA9GnTx8A5U9CnJ2dER0d\n/fyNhALY+8xfbLWLSEREREQvQEBAANzc3NT+5syZU6dlqvUwoVAokJqaKvw/ISEBjx49Eqr9uLq6\n4vLlywCAp0+fIiYmRugJytXVFVeuXIFSqYRCoUB4eLhaNaOKXFxcEBgYCABITExEVlaWEASeLc/X\nX3+NCRMmwNPTE8uWLRPaT1TUpk0bGBkZCaEnISEBQHnIKCgoQFZWlrBsSEgIzMzMYGJiAoVCoRZq\ngoOD0bBhQ5iYmGhso3Xr1lAoFMLFfGBgIJycnISerKoSEREBhUKBzp07a8xTtflwdXVVm96kSROE\nhYUBKO8F6sqVK2pPLrR6F8DIZ/7sqlVEIiIiInpBRowYgcDAQLW/DRs21GmZXlibCR8fH1y6dAk5\nOTmYP38+DA0NsXv3bpSWlmLVqlUoLCyEVCqFgYEBli1bJnSbOnToUPj4+GDcuHGQSqVwcXGBi4sL\nAKB3795ISUnB+PHjIZPJYGdnhyFDhgAo76Vox44dQluFSZMmwdvbG2PGjIGuri68vLy09uTk5+eH\nZs2aoW/fvgCAmJgYfP/995g9e7bGsl9++SXWrVuH4uJi6OrqYvny5dDR0cHjx4+xdOlSFBcXQyKR\noEGDBvD29gYAlJSUYOHChSgpKYFEIkH9+vWxYsUKYZ2BgYHIzs7GuHHjIJFIsGjRIqxfvx4lJSUw\nNzdXqxJVVZuJY8eO4cMPP6x0nrOzs9CwXWX69Onw8fHBhAkTUFZWhvbt21fabS0RERER0fNIzp07\np9n9EhHKe5uaPHkyMBjA3xuy49VxH8CW8qdCFcdKISIiIqoLkZGR6Ny5M3x9fdG6deuXvv2X3maC\niIiIiIheDS+ta1j6H5aD8jvyBDys6wIQERER/XMwTFDVzv3/HwEA6hnUg7m5eV0Xg4iIiKjOMUxQ\nlfbs2YN27drVdTH+MczNzdGsWbO6LgYRERFRnWObCaIaYJAgIiIi+i8+maAqjR49uq6L8I9Rz6Ae\nkhKTGCiIiIiIwDBB1dELQKu6LsQ/wEPgycEnePjwIcMEEREREV5gmNi0aRNCQ0ORkZEBPz8/YRRr\noHxE6h9++AFFRUWQSqWYOnUqOnXqBADYunUrzp8/Dz09Pejo6OCzzz5Dly5dAABKpRKbNm3C5cuX\nIZVKMXjwYAwaNEjr9h89eoSVK1fi/v370NPTw6xZs9Cx498bHOHkyZPYv38/lEolGjRogAULFsDC\nwgJA+eB0P/74I65cuQI9PT28/fbbWLRokfDaHTt24OzZs9DV1YWZmRl8fHy0biM+Ph4+Pj4oLi6G\nhYUFFi1ahEaNGlVZNk9PT2Hk7tLSUty+fRvbtm0TRrM+fPgwDh8+DJlMBqlUis2bN0NXVxcHDx7E\n0aNHIZFIIJFI8MknnwgD+FWqAYAm1dhhRERERPRaeWFhomfPnhgxYgRmzpypMe/f//43Fi5ciE6d\nOuE///kPvvjiC+zatQt6enro2LEjxo4dCz09Pdy4cQOzZs3Cb7/9Bn19fZw8eRJ3796Fv78/8vPz\n4eHhAblcjubNm2tsY8uWLbC1tcXq1auRlJSExYsXIyAgQOso2NVx9+5d+Pr6YuvWrWjQoAFOnToF\nHx8fYcTtLVu2QCKRYPfu3QCAnJwc4bUHDhzArVu3sH37dshkMrV5FSmVSnh7e2PevHmwt7fH/v37\nsWnTJixdurTK8m3evFn4d3BwMHbt2iUEiZCQEJw9exY//vgjDAwMkJubCx2d8kP91ltv4fvvv4eh\noSEePHgADw8PdOjQAY0bNxa1n4iIiIjo9fXCGmDb2dnB3NwcSqX6gNq5ubnIzc0VnkS88cYbMDIy\nQlhYGACga9eu0NPTAwC0aNECQPlTBgAICgpC//79AQAmJibo1asXzpw5o3X7QUFBcHNzAwC0adMG\n5ubmiImJ0Vju9OnTmDJlinBX38vLC/7+/hrL3bp1C2+//TYaNGgAAHB0dERYWBjy8/Px5MkTHDt2\nDBMnThSWVy0HAPv378ekSZOEIFNxXkXJycnQ0dGBvb09AGDAgAG4ePEiSkpKtC5fmWPHjqFfv35q\n23d3d4eBgQEAwMzMDBKJBADQqVMnGBoaAgAsLCzQsGFDZGZm1mh7RERERETAS2gzYWZmhkaNGiE4\nOBguLi5ITEzEvXv3kJ6errHsn3/+iSZNmsDKygoAkJmZKfwbAKytrZGQkKDxury8PCgUCrWLdisr\nK60XyX369EFsbCw2b94MKysrKBQKjBo1SmO5li1bIiUlBampqWjatClOnjwJAMjIyIBUKoWJiQn2\n7NmDiIgI6Ovrw93dHXK5HIWFhcjJyUFISAiCg4MhkUgwdOhQ9OrVS2MbGRkZau/PwMAARkZGyMrK\ngrW1NdatW4fu3bvDycmp0v2bmZmJmJgYtSpWd+7cQWJiInbs2IHS0lL07dsXgwcP1nhtREQECgoK\n0LZt20rXT0RERERUmZfSAPubb76Br68v/P39YWNjg44dO2pUP4qIiMDu3buxfv36Wi/PtGnT4Onp\niYKCAvj5+WldpmnTppgzZw68vb1RVlYGR0dHGBsbQyaTobS0FBkZGbCxsYGHhweuX7+OL774Ajt2\n7IBMJoNCoUBJSQk2b96M9PR0zJgxA82bNxeevFTXF198UeUyJ06cgJOTE0xNTYVpCoUC6enp2Lhx\nI/Ly8jB79mw0adIEjo6OwjI3b97EmjVrsGTJEujr69eoXEREREREwEsKEy1atMDq1auF/48bNw42\nNjbC/6Ojo7F27VqsXLkSTZs2FaZbWloiIyMDtra2AID09HRYWlpqrN/U1FRom6B6OlHZskB5+4aC\nggIolUrk5eXBxMRE63LOzs5wdnYGAGRnZyMgIABNmzYVGpL36dMHQPlTjMaNG+PmzZuQy+UwNDQU\n5pDKMf0AACAASURBVFlbW6N9+/ZITEzUCBNWVlZqT2iKiorw+PHjajXAVjl+/Dg+//xzjfW6urpC\nIpHAzMwM3bp1Q3x8vBAmbt++DS8vLyxYsADt27eveiOhAK49M83u//+IiIiI6KUICAhAQECA2rTc\n3Nw6Kk25lzJoXXZ2tvDvo0ePwsDAQGhDERMTg1WrVuGbb74RGhCruLi44I8//kBZWRny8vJw7tw5\nrdWFVMsGBgYCKO89KisrS2iLUJFCocDXX3+NCRMmwNPTE8uWLRPaT1RWboVCgS1btmDgwIHQ09OD\nmZkZ5HK50O4jLS0N6enpQsPw3r174/LlywDKq2AlJiaq9W6l0rp1aygUCkRHRwMAAgMD4eTkBF1d\n3Ur2pLqIiAgoFAp07txZbbqrq6uw/adPnyImJkbY/p07d7Bw4ULMnTsXcrm8WtvBuwBGPvPHIEFE\nRET0Uo0YMQKBgYFqfxs2bKjTMknOnfs/9u4/Kqo6f/z4cxgggYDQgSEtf2VypEVNNoUs8QfW99Rq\n+aMt8mcayqIGlVrAumoaiMqY4rLgVLIJy4myhD3ZrplAGf4oWchSQNPNXWxghREYwBiG+f5B3o84\n/KoULF+Pc+45zr3ve9+v+/af++L9K8faebHO6XQ6Dh8+jNFoxM3NDWdnZ2Wlo7/+9a/KxOn+/fsT\nERGhLLE6Z84c6uvr6dOnD1arFZVKRVRUFIMGDaK5uZnt27dz5MgRVCoVM2bMUJaGLSkpITU1VVld\nyWg0Ehsbi8FgwMHBgYiIiDaTieTkZGpqali5ciUA27Zto7m5mcjISJuyL7/8MgaDgaamJgICAggL\nC1NWRfruu+/YtGkT1dXV2NnZMW/ePB544AGgJYGIj4/nu+++Q6VS8dhjjymTw7Ozs6mqqmL+/PlA\ny9KwCQkJmM1mNBoNUVFRStt0Nmdi/fr13HnnncybN6/V+cbGRnQ6HcXFxdjZ2REUFKSUWbFiBaWl\npWi1WqW9Fy1axG9/+1ub55eWlrJ48WKYDvy8VXZ/Hc4DO1qSuC4nYkIIIYQQ11FBQQH+/v6kpKQw\ndOjQbq//miUT4tdHkomrSDIhhBBCiBtMTycT3TLMSQghhBBCCPHr0y0TsMUvnJGWv8rf7C70dABC\nCCGEEDcWSSZE53J+OAS9nHqh0Wh6OgwhhBBCiBuCJBOiU2lpaQwbNqynw7ghaDQa+vfv39NhCCGE\nEELcECSZEOIHkigIIYQQQvw4kkyITs2ePbunQ+gWvZx6UVJcIgmFEEIIIUQXSTIhOjcBuLung7jO\nLsCl9y5x4cIFSSaEEEIIIbromiUTiYmJ5OfnU15ejl6vb7Xjc3x8PKWlpdjZ2WFvb09oaGirdfr3\n7NnDnj17UKvV2NnZkZSUpOwCnZeXx1tvvaVssBYbG4tWq7Wp/+LFi8TFxXH+/HkcHR2JiIhg+PCf\ntzmCyWRi69atlJSUYG9vT2BgIKGhoUDL5m9GoxGVSoWzszPLli1jyJAhyvt+/fXX3HLLLTg5ObFk\nyRJ8fHzarOPEiRPodDoaGxvx9PQkOjqaPn36dCm+1NRUDhw4gIODA+7u7uh0OuVae21aXV3Nxo0b\nMRgMWCwWhg0bxvPPP4+jo2P7FXkAfbvWZkIIIYQQ4uZxzZKJ8ePHExISwnPPPWdzbenSpbi4uABw\n+vRpXnzxRbKysgA4ePAgBw4c4C9/+QtOTk5UV1cru0yfOnWKnTt3otPp6N27Nw0NDajV6jbr37Fj\nB76+vsTHx1NSUsKqVavIyMhot3xXbNy4ET8/P2JiYoCWXbYvW7NmjfJOBw8eZMOGDbz++usAjBs3\njhUrVmBnZ8ehQ4dYs2YNGRkZNs+3Wq3ExsayYsUKRowYQWZmJomJiaxZs6bT2N59913Onj3Lzp07\nUavVrWLrqE3T0tK44447ePXVV7Farbz88sv84x//UHboFkIIIYQQoquu2aZ1fn5+aDQarFbbDbUv\nf3RDy1/7r5SZmcm8efNwcnICwN3dHZVKBcA777zDE088Qe/evQFwcnJq9y/oubm5ygexj48PGo2G\noqIim3L79+8nLCyMpqYmAGJiYkhPT7cpV1ZWRmlpKU888YRyzsPDo913srP7v6YMDAxUfvv6+lJZ\nWUlzc7NNHaWlpdjb2zNixAgApkyZwqFDhzCbzW2+45UyMzNZtGiRkixdGVtHbQpQX1+P1WqlsbGR\nS5cu4enp2Wl9QgghhBBCXK3b5kzo9Xpyc3MxmUysXbtWOf/tt99SXFxMamoqTU1NTJ48menTpwPw\n73//G29vbyIjI6mvrycgIIBnnnmm1YcxQE1NDRaLpdUHtVarpaKiwiaO4OBgjh8/TlJSElqtFovF\nwqxZs2zKffvtt2g0GnQ6HSUlJbi7u7No0SJlKBNAXFwchYWFqFQq4uLi2nzv3bt3M2bMmFbJxmXl\n5eWthmw5OTnh4uJCZWUl3t7ebN68mbFjxxIYGNjqvvr6eoxGIwcPHiQvLw+VSsXMmTOZMGFCp206\nd+5cVq9ezYwZM2hsbGTSpEk2zxdCCCGEEKIrrlnPRGdCQ0NJT09n9erVpKSkYLFYALBYLBgMBrZt\n28aGDRv4+9//zuHDh5Vrp0+fZtOmTWzbto2vv/5aGR71cyxZsoQvv/yS999/XxnCdDWLxcLJkyeZ\nNGkSKSkpzJw5k6ioKCVugKioKN5++20WLFhASkqKzTM++ugj8vLyePHFF39SnMuXL2/zQ99isWCx\nWDCbzSQlJbFq1SqSkpI4c+aMcr29Nv34448ZOHAg7733Hu+88w7/+c9/2Lt370+KTwghhBBC3Ny6\nLZm4bNSoUdTX1ysfvlqtlkmTJqFSqXB3d2fMmDGcOHFCuTZu3DgcHBzo1asXDz74oHLtSm5ubjbz\nBgwGA15eXm3GYDQaMZlMWK1Wampq2izj5eWFp6enMgRp9OjRNDU1UV5eblP2oYceorCwkNraWuXc\ngQMH2LVrF5s3b+a2225rsw6tVovBYFB+NzQ0UFdX1+kEbFdXV5ydnQkODgbA29ube+65h+LiYiX2\n9to0Oztbuc/JyYlx48ZRWFjYYX3kA3+76jje8S1CCCGEEOLaysjIYOrUqa2O559/vkdjuu7JhMVi\noaysTPl98uRJLl68yO233w7ApEmTOHLkCADff/89RUVFykpQkyZN4vPPP8dqtWKxWPjiiy9aDTO6\nUlBQENnZ2QAUFxdTWVmpJAJXx7Nu3ToWLlxIeHg4a9euVeZPXMnHxwcXFxcl6Tl58iTQ8qFuMpmo\nrKxUyh48eBB3d3dcXV0ByMnJYefOnWzevLnD+QhDhw7FYrEoH/PZ2dkEBgYqK1l1ZOLEiUq71dTU\nUFxcrLRbcHCwTZtebre+ffty9OhRAJqamvj8888ZNGhQx5XdDzx91eHXaYhCCCGEEOIaCgkJITs7\nu9WxZcuWHo1JlZOTYztj+ifQ6XQcPnwYo9GIm5sbzs7O7Nq1i++//57ly5dTX1+PnZ0dTk5OLFiw\ngJEjRwLQ2NiITqejuLgYOzs7goKCmDdvHtCy2lFKSgqHDx9GrVbj5+fHsmXLUKvVlJSUkJqaqsxV\nMBqNxMbGYjAYcHBwICIios1kIjk5mZqaGlauXAnAtm3baG5uJjIy0qbsqVOn2LJlC42NjTg4OBAe\nHo6fnx/l5eWsWbOGxsZGVCoVHh4ehIWFKR/zkydPpk+fPri5uSlL2iYkJODq6kp2djZVVVXMnz8f\naFkaNiEhAbPZjEajISoqSklA2pszAS0JRHx8PN999x0qlYrHHntMmYDeUZsaDAZ0Op0yKfyee+4h\nIiKizQSmtLSUxYsXw3Tg562ye+M7D+yAY8eOtVq2WAghhBDiRlZQUIC/vz8pKSkMHTq02+u/ZsmE\n+PWRZEIIIYQQ4sbW08lEt8+ZEEIIIYQQQvw6dNvSsOIXzEjLX+5/zS70dABCCCGEEL88kkyIzuX8\ncPzK9XLqhUaj6ekwhBBCCCF+MSSZEJ1KS0tj2LBhPR3GdafRaOjfv39PhyGEEEII8YshyYT41ZBk\nQAghhBCie0kyITo1e/bsng6hS3o59aKkuEQSCiGEEEKIbiLJhOjcBODung6iExfg0nuXuHDhgiQT\nQgghhBDd5JolE4mJieTn51NeXo5er1c2cLssNTWVAwcO4ODggLu7OzqdDoCysjISEhKora3FbDYT\nEBBAWFgY0LJpXWJiIkeOHMHOzo7p06czbdq0Nuu/ePEicXFxnD9/HkdHRyIiIhg+/OdtjrBv3z4y\nMzOxWq14eHjw0ksvKRvKrVixAqPRiEqlwtnZmWXLlrXanbu9973aiRMn0Ol0NDY24unpSXR0NH36\n9OlyjAUFBaxYsYLw8HBmzJgBdNymRqORLVu2UFZWhsVi4Xe/+x0zZ87suBIPoG+XQxJCCCGEEDeJ\na5ZMjB8/npCQEJ577jmba++++y5nz55l586dqNVqjEajci05OZkHH3yQadOmYTabCQsLY9SoUYwe\nPZp9+/Zx7tw50tPTqa2tJTQ0lFGjRjFgwACbOnbs2IGvry/x8fGUlJSwatUqMjIyUKvVP+l9zp07\nR0pKCq+//joeHh589NFH6HQ6ZcftNWvW4OLiAsDBgwfZsGEDr7/+eqfveyWr1UpsbCwrVqxgxIgR\nZGZmkpiYyJo1a7oUY11dHXq9noCAgFbnO2rTpKQkBg4cyCuvvMKlS5dYtmwZfn5++Pj4/KR2EkII\nIYQQN69rtmmdn58fGo0Gq9V2Q+3MzEwWLVqkfNh7eHgo11QqFXV1dQBcunQJi8Wi/GU+NzeXRx99\nFABXV1cmTJjAxx9/3Gb9ubm5TJ06FQAfHx80Gg1FRUU25fbv309YWBhNTU0AxMTEkJ6eblPu7Nmz\n3HXXXUqsAQEBHD16lNraWgAlkQAwmUzY2f1fU3b0vlcqLS3F3t6eESNGADBlyhQOHTqE2Wxus/zV\ntm7dyty5c3Fzc2t1vqM2/eabb5Tko1evXgwfPpyPPvqoS/UJIYQQQghxpes+Z6K+vh6j0cjBgwfJ\ny8tDpVIxc+ZMJkyYAMCSJUuIjo4mKysLk8nEnDlzlCFSFRUVaLVa5Vne3t6cPHnSpo6amhosFkur\nj3atVktFRYVN2eDgYI4fP05SUhJarRaLxcKsWbNsyg0ZMoRTp05RVlZGv3792LdvHwDl5eW4uroC\nEBcXR2FhISqVSumx6Ox9r1ReXt7q/ZycnHBxcaGyshJvb282b97M2LFjCQwMtLk3Ly8PtVpNYGAg\nn3zySatrHbWpj48P+/fvZ9iwYVRXV/P555/LHAMhhBBCCPGTXPdkwmKxYLFYMJvNJCUlYTAYWLZs\nGQMGDGDw4MFkZWURHBxMSEgI1dXVREZG4uPjg7+//3WLacmSJYSHh2MymdDr9W2W6devH88//zyx\nsbE0NzcTEBDArbfe2mrYVFRUFNAytyIlJYUNGzZ0+r4/xvLly9s8X1VVRVpaGq+99lqb1ztq07Cw\nMJKTkwkNDcXDw4N7772Xixcv/qi4hBBCCCGEgG5IJlxdXXF2diY4OBho6V245557KC4uZvDgwezZ\ns4e0tDQA3N3dGTNmDEVFRfj7++Pl5UV5eTm+vr4AGAwGvLy8bOpwc3NT5iZc7p1oryy0TEI2mUxY\nrVZqamqUnoarjRs3jnHjxgEtH/AZGRn069fPptxDDz2ETqejtra20/e9klarxWAwKL8bGhqoq6vr\ndAJ2aWkpVVVVhIaGYrVaqa6uJj8/n+rqahYsWNBhm7q7u/PSSy8pz9qyZQsDBw7ssD7yga+uOuf3\nwyGEEEIIIbpFRkYGGRkZrc5VV1f3UDQtrtmciY5MnDiRI0eOAC1DkoqLi5VhN3379uXo0aNAy8d0\nYWGh8nEbFBTEBx98QHNzMzU1NeTk5LQ5XOhy2ezsbACKi4uprKxU5iJcyWKxsG7dOhYuXEh4eDhr\n165V5k9craqqSrlnx44dPP744zg6OmIymaisrFTKHTx4EHd3dyUp6eh9rzR06FAsFguFhYUAZGdn\nExgYiIODQwet2TJ/Y/fu3fztb38jIyODoKAg5s6dy4IFCzpt08tDwgBOnTrFZ599xmOPPdZhfdwP\nPH3VIYmEEEIIIUS3CgkJITs7u9WxZcuWHo3pmvVM6HQ6Dh8+jNFoZOXKlTg7O7Nr1y4Ann32WeLj\n48nKykKlUvH0008rqwe9/PLLbN26ld27d2M2mxk7diwTJ04EWv7iX1paypw5c1CpVDz55JMMGjQI\ngJKSElJTU5W5CosWLSI2NpY5c+bg4OBATExMmys56fV6+vfvz+TJkwEoKipi+/btREZG2pTduHEj\nBoOBpqYmAgICePbZZ4GWVZTWrFlDY2MjKpUKDw8PYmNjlfs6et/s7GyqqqqYP38+KpWK6OhoEhIS\nMJvNaDQaZegU0OGciY501KbFxcUkJiaiVqtxdnZm9erV9O7d+0c9XwghhBBCCABVTk6O7fJLQtAy\nnGrx4sUwHfh5W3Zcf+eBHXDs2DFGjRrV09EIIYQQQnSLgoIC/P39SUlJYejQod1ef7cMcxJCCCGE\nEEL8+lz3CdjiV8BIy1/+b2QXejoAIYQQQoibjyQTonM5Pxw3uF5OvdBoND0dhhBCCCHETUOSCdGp\ntLQ0hg0b1tNhdEqj0cgGfEIIIYQQ3UiSCfGLJImDEEIIIUTPk2RCdGr27Nk9HYKNXk69KCkukYRC\nCCGEEKIHSTIhOjcBuLung7jCBbj03iUuXLggyYQQQgghRA+6ZslEYmIi+fn5lJeXo9frW+34HBkZ\nSUVFBbfeeivQshndzJkzAXjjjTfIz8/Hzs4OlUrFU089pWywBpCXl8dbb72F1WpFpVIRGxuLVqu1\nqf/ixYvExcVx/vx5HB0diYiIYPjwn745wtmzZ4mNjUWlUgFQW1tLfX09WVlZNDY2sm7dOr799ltu\nueUWbrvtNiIjI+nXrx/wfxvDmc1mGhsb+X//7//x1FNP2dRRWVlJfHw85eXlODg4cMcdd/D888/j\n7u7e5TgLCgpYsWIF4eHhzJgxA4DXX3+dTz/9FEdHR+zt7VmwYAH33XcfAFu3buWrr75CpVJhtVo5\nd+4cYWFhTJs2rf1KPIC+XQ5JCCGEEELcJK5ZMjF+/HhCQkJ47rnnbK6pVCqWLl3K/fffb3Ptqaee\nYuHChQBcuHCB+fPn89vf/hY3NzdOnTrFzp070el09O7dm4aGhjZ3tQbYsWMHvr6+xMfHU1JSwqpV\nq8jIyGi3fGcGDRqEXq9Xfm/btk1JLACmTJnC6NGjAXj//ffZvHmzsp15QkICCxYsIDAwkNraWubN\nm8f9999v81d0Ozs75s6dy29+8xsAkpOTSU5O5qWXXupSjHV1dej1egICAlqdHz58OHPnzsXR0ZFv\nvvmGiIgIdu/ezS233EJERIRSrqqqilmzZjFhwoQf0TJCCCGEEEK0uGab1vn5+aHRaLBa295Qu7m5\nuc3zLi4uyr/r6+sBlGe88847PPHEE/Tu3RsAJycnHB0d23xObm4uU6dOBcDHxweNRkNRUZFNuf37\n9xMWFkZTUxMAMTExpKend/hujY2N7N+/n0ceeQQAR0dHJZEA8PX1pby8XPmtUqkwmUwANDQ04ODg\ngKurq81zPTw8lEQCYNiwYa2e05mtW7cyd+5c3NzcWp0fPXq00k6DBw8GWnpurvbPf/6T++67j9tu\nu63LdQohhBBCCHFZt82Z2LFjBzt37mTgwIE8++yz3H777cq19957jz179nDhwgWWL1+uDPP597//\njbe3N5GRkdTX1xMQEMAzzzzTqocAoKamBovFgoeHh3JOq9VSUVFhE0dwcDDHjx8nKSkJrVaLxWJh\n1qxZHcb+ySef0Ldv31ZDt660e/duxo4dq/xeuXIlf/zjH3njjTeorq7mhRdeaBVbW5qbm9mzZw8P\nPPCAcm7z5s2MHTuWwMBAm/J5eXmo1WoCAwP55JNP2n3u3r176du3b5tDwz788EPCw8M7jEsIIYQQ\nQoj2dEsyER0djaenJ9AyJCgqKorU1FTl+vTp05k+fTpnzpzh1Vdf5b777sPV1RWLxcLp06fZtGkT\nFouFmJgYsrKyePzxx39WPEuWLCE8PByTydRqKFN7PvzwQ6VX4mppaWmcP3+e5cuXK+cyMjJYtGgR\nEydO5LvvviMyMhIfH58OJwtv2bIFV1dXZd4D0OqZV6qqqiItLY3XXnutw7iPHTvGrl27SEhIsLn2\n5Zdf0tDQwJgxYzp8hhBCCCGEEO3plmTiciIBMG3aNJKTk6mtrbUZ+jN48GA0Gg2FhYU8+OCDaLVa\nxo0bh4ODAw4ODjz44IOcOHHCJplwc3NDrVZjNBqVHgCDwYCXl1eb8RiNRkwmE1arlZqamjaHIF1m\nMBg4efIkr7zyis21t99+m88++4yEhARlWFF1dTWffvopq1atAuD2229n2LBhHD9+vN1kYtu2bVRW\nVrJu3bp247hSaWkpVVVVhIaGYrVaqa6uJj8/n+rqahYsWABAYWEhmzZtIi4uTpkYfqUPP/yQhx9+\n2KaXp035wFdXnfP74RBCCCGEEN0iIyODjIyMVueqq6t7KJoW1z2ZsFgs1NTUKB/5eXl59O7dW/mA\n//bbbxkwYAAAZWVlnD59Wvk9adIk8vPzefjhh2lubuaLL75od4WmoKAgsrOzmTdvHsXFxVRWVjJi\nxIg241m3bh0LFy7E0dGRtWvXkpSUhL19202xd+9eHnjggVZzOwAyMzM5cOAACQkJODs7K+ddXV1x\ncnLiX//6F/feey/V1dUUFxfz+9//vs3nb9u2jfPnz7N+/fouTxYPCAhg9+7dyu/4+HiGDBmi9GoU\nFRWxYcMG1q9fz6BBg2zur6urIy8vr0u9MgDcD/z0hbGEEEIIIcQ1EBISQkhISKtzBQUF+Pv791BE\n1zCZ0Ol0HD58GKPRyMqVK3F2dmbXrl2YzWaioqIwm82oVCpuu+02Xn31VeW+lJQUDAYDarUae3t7\nIiIilL/gT5w4kVOnTvHMM8+gVqvx8/NTPphLSkpITU0lLi4OgEWLFhEbG8ucOXNwcHAgJiamzY9z\nvV5P//79mTx5MtDy4b19+3YiIyNtylqtVvbt20dUVFSr8//73/9ITk6mb9++vPDCC1itVhwdHfnz\nn/+MnZ0dq1evJjk5mebmZpqampg5cya+vr4AZGdnU1VVxfz58/nqq6/Iysrizjvv5A9/+APQ0pNx\nuRekozkTHdm8eTNms5mNGzcqS+pGRUUpiUVOTg4+Pj5t9lgIIYQQQgjRVaqcnJy2l18SN73S0lIW\nL14M07mxeibOAzta5oSMGjWqp6MRQgghhOgxl3smUlJSGDp0aLfXf82WhhVCCCGEEELcXLptaVjx\nC2akpTfgRnGhpwMQQgghhBAgyYToipwfjhtIL6deaDSang5DCCGEEOKmJsmE6FRaWhrDhg3r6TBa\n0Wg0He7bIYQQQgghrj+ZMyF+cSSREEIIIYS4MUjPhOjU7NmzezqEVno59aKkuEQSCiGEEEKIHibJ\nhOjcBODung7iBxfg0nuXuHDhgiQTQgghhBA97JolE4mJieTn51NeXo5er+euu+5SrsXHx1NaWoqd\nnR329vaEhoa22h9gz5497NmzB7VajZ2dHUlJSTg4OAAtO2a/9dZbyuZrsbGxaLVam/ovXrxIXFwc\n58+fx9HRkYiIiHZ3y+4qk8nE1q1bKSkpwd7ensDAQEJDQzt93/T0dP75z39SVlbGK6+8wtixY9ut\n48SJE+h0OhobG/H09CQ6Opo+ffp0OcaCggJWrFhBeHi4sqHf66+/zqeffoqjoyP29vYsWLCA++67\nD2jZiC8xMZEjR45gZ2fH9OnTmTZtWseVeAB9uxySEEIIIYS4SVyzZGL8+PGEhITw3HPP2VxbunQp\nLi4uAJw+fZoXX3yRrKwsAA4ePMiBAwf4y1/+gpOTE9XV1djbt4R16tQpdu7ciU6no3fv3jQ0NLS5\nqzXAjh078PX1JT4+npKSElatWkVGRka75bti48aN+Pn5ERMTA4DRaOzS+/72t79l0qRJbNy4scPn\nW61WYmNjWbFiBSNGjCAzM5PExETWrFnTpfjq6urQ6/UEBAS0Oj98+HDmzp2Lo6Mj33zzDREREeze\nvZtbbrmFffv2ce7cOdLT06mtrVUSuwEDBnSpTiGEEEIIIS67ZhOw/fz80Gg0WK22G2pfTiSg5a/9\nV8rMzGTevHk4OTkB4O7ujkqlAuCdd97hiSeeoHfv3gA4OTnh6OjYZv25ublMnToVAB8fHzQaDUVF\nRTbl9u/fT1hYGE1NTQDExMSQnp5uU66srIzS0lKeeOIJ5ZyHh0eX3tfHxwdvb+82r12ptLQUe3t7\nRowYAcCUKVM4dOgQZrO5w/su27p1K3PnzsXNza3V+dGjRyvtNHjwYKCl5wZa2unRRx8FwNXVlQkT\nJvDxxx93qT4hhBBCCCGu1G1zJvR6Pbm5uZhMJtauXauc//bbbykuLiY1NZWmpiYmT57M9OnTAfj3\nv/+Nt7c3kZGR1NfXExAQwDPPPKMkG5fV1NRgsVhafexrtVoqKips4ggODub48eMkJSWh1WqxWCzM\nmjXLpty3336LRqNBp9NRUlKCu7s7ixYtYsiQIdeqSSgvL281ZMvJyQkXFxcqKyvx9vZm8+bNjB07\nlsDAQJt78/LyUKvVBAYG8sknn7Rbx969e+nbt69ST0VFRas6vb29OXny5DV7JyGEEEIIcfPotqVh\nQ0NDSU9PZ/Xq1aSkpGCxWACwWCwYDAa2bdvGhg0b+Pvf/87hw4eVa6dPn2bTpk1s27aNr7/+Whke\n9XMsWbKEL7/8kvfff18ZwnQ1i8XCyZMnmTRpEikpKcycOZOoqCgl7u6wfPnyNhOJqqoq0tLSWLp0\naYf3Hzt2jF27drF69errFaIQQgghhLiJdftqTqNGjaK+vp4zZ85w9913o9VqmTRpEiqVCnd3PR5P\nNgAAIABJREFUd8aMGcOJEycICAhAq9Uybtw4HBwccHBw4MEHH+TEiRM8/vjjrZ7p5uaGWq3GaDQq\nvRMGgwEvL682YzAajZhMJqxWKzU1Nbi6utqU8fLywtPTUxmCNHr0aJqamigvL6dv32szG1mr1WIw\nGJTfDQ0N1NXVdToBu7S0lKqqKkJDQ7FarVRXV5Ofn091dTULFiwAoLCwkE2bNhEXF0e/fv1avVd5\neTm+vr5Ax+2kyAe+uuqc3w+HEEIIIYToFhkZGWRkZLQ6V11d3UPRtLjuycTlnofLH7QnT57k4sWL\n3H777QBMmjSJI0eOMHLkSL7//nuKiop46qmnlGv5+fk8/PDDNDc388UXX7S7QlNQUBDZ2dnMmzeP\n4uJiKisrlUTg6njWrVvHwoULcXR0ZO3atSQlJSmTvi/z8fHBxcWFM2fOMHjwYGUoUKcf3j/C0KFD\nsVgsFBYWMnLkSLKzswkMDFRWsmpPQEAAu3fvVn7Hx8czZMgQZTWnoqIiNmzYwPr16xk0aFCre4OC\ngvjggw8ICgrCZDKRk5NDXFxcx4HeD/y8hbGEEEIIIcTPFBISQkhISKtzBQUF+Pv791BEoMrJyel4\nlnAX6XQ6Dh8+jNFoxM3NDWdnZ3bt2sX333/P8uXLqa+vx87ODicnJxYsWMDIkSMBaGxsRKfTUVxc\njJ2dHUFBQcybNw9oWe0oJSWFw4cPo1ar8fPzY9myZajVakpKSkhNTVU+hI1GI7GxsRgMBhwcHIiI\niGgzmUhOTqampoaVK1cCsG3bNpqbm4mMjLQpe+rUKbZs2UJjYyMODg6Eh4fj5+fX4fsCpKWlkZ2d\nTXV1Nc7Ozjg6OrJjxw7c3d3Jzs6mqqqK+fPnAy1LwyYkJGA2m9FoNERFReHp6QnQ4ZyJK12dTMyZ\nM4f6+nr69OmjLKkbFRXFoEGDaG5uZvv27Rw5cgSVSsWMGTPaXRq2tLSUxYsXw3RunGTiPLCjZQjX\nlcsLCyGEEELcjC4nEykpKQwdOrTb679myYT49ZFkQgghhBDixtbTyUS3TcAWQgghhBBC/Lp0+wRs\n8QtkpKVH4EZwoacDEEIIIYQQl0kyITqX88Nxg+jl1AuNRtPTYQghhBBC3PQkmRCdSktLY9iwYT0d\nhkKj0dC/f/+eDkMIIYQQ4qYncybEL4okEkIIIYQQNw7pmRCdmj17dk+HoOjl1IuS4hJJKIQQQggh\nbgCSTIjOTQDu7ukggAtw6b1LXLhwQZIJIYQQQogbwDVLJhITE8nPz6e8vBy9Xs9dd93V6npqaioH\nDhzAwcEBd3d3dDodAN9//z0bN26kpKQEOzs7Fi5cSFBQENCyaV1iYiJHjhzBzs6O6dOnt7vB2sWL\nF4mLi+P8+fM4OjoSERHR7m7ZXXH27FliY2NRqVQA1NbWUl9fT1ZWFgCHDx/mzTffxGq10tzczO9/\n/3sefvjhTt/3aidOnECn09HY2IinpyfR0dH06dOny3EWFBSwYsUKwsPDlU3rOmrTPXv28Pe//x07\nOzuam5t59NFHmT59eseVeAB9uxySEEIIIYS4SVyzZGL8+PGEhITw3HPP2Vx79913OXv2LDt37kSt\nVmM0GpVrb7/9No6OjqSlpWEwGAgPD2fUqFG4urqyb98+zp07R3p6OrW1tYSGhjJq1CgGDBhgU8eO\nHTvw9fUlPj6ekpISVq1aRUZGBmq1+ie9z6BBg9Dr9crvbdu2KYkFQFxcHK+99hqDBg3CYDAwb948\nxo0bh5OTU4fveyWr1UpsbCwrVqxgxIgRZGZmkpiYyJo1a7oUY11dHXq9noCAgFbnO2rThx56iMcf\nfxyAhoYGnnnmGYYPH86QIUN+ZAsJIYQQQoib3TWbgO3n54dGo8Fqtd1QOzMzk0WLFikf9h4eHsq1\nnJwcpk6dCoC3tzcjRozg008/BSA3N5dHH30UAFdXVyZMmMDHH3/cZv25ubnKc3x8fNBoNBQVFdmU\n279/P2FhYTQ1NQEQExNDenp6h+/W2NjI/v37eeSRR5RzKpUKk8kEtHzUu7u74+jo2On7Xqm0tBR7\ne3tGjBgBwJQpUzh06BBms7nDeC7bunUrc+fOxc3NrdX5q9t05MiRSps6Ozsr5err67FYLF2qSwgh\nhBBCiKtd9zkT9fX1GI1GDh48SF5eHiqVipkzZzJhwgQAKioq0Gq1Snlvb28qKiravXby5EmbOmpq\narBYLK0+2rVarfKcKwUHB3P8+HGSkpLQarVYLBZmzZrV4Tt88skn9O3bt9XQrVWrVrFq1Sp69eqF\nyWTilVdeQa1Wd/q+VyovL2/1fk5OTri4uFBZWYm3tzebN29m7NixBAYG2tybl5eHWq0mMDCQTz75\npNW1q9vt6rbIy8sjNTWV8+fP8+yzz0qvhBBCCCGE+EmuezJhsViwWCyYzWaSkpIwGAwsW7aMAQMG\nMHjw4OtdfZuWLFlCeHg4JpOp1VCm9nz44YeteiUsFgtpaWmsW7cOPz8/SkpKiImJ4c0330SlUl2z\n912+fHmb56uqqkhLS+O11177Uc+7LCgoiKCgIMrLy1m1ahWBgYHccccdP+lZQgghhBDi5nXdkwlX\nV1ecnZ0JDg4GWnoX7rnnHoqLixk8eDBarZby8nJ69+4NgMFg4L777gPAy8uL8vJyfH19lWteXl42\ndbi5uSlzEy73TrRXFsBoNGIymbBardTU1ODq6tpu/AaDgZMnT/LKK68o506fPk1lZSV+fn5Ay7Aq\nT09PTp06hb+/f4fveyWtVovBYFB+NzQ0UFdX1+kE7NLSUqqqqggNDcVqtVJdXU1+fj7V1dUsWLBA\nabe22vTq+ocNG8ahQ4d44okn2q8wH/jqqnN+PxxCCCGEEKJbZGRkkJGR0epcdXV1D0XTols2rZs4\ncSJHjhwBWoYkFRcXK0OGgoKCyM7OBuC7776jqKiIBx54QLn2wQcf0NzcTE1NDTk5OW0OF7r6OcXF\nxVRWVipzEa5ksVhYt24dCxcuJDw8nLVr1yrzJ9qyd+9eHnjgAVxcXJRzXl5eVFVVce7cOQDKyso4\nf/68slxpR+97paFDh2KxWCgsLAQgOzubwMBAHBwc2o0HICAggN27d/O3v/2NjIwMgoKCmDt3LgsW\nLABaJsO316bffvut8pyLFy/yr3/9q/Mek/uBp686JJEQQgghhOhWISEhZGdntzq2bNnSozFds54J\nnU7H4cOHMRqNrFy5EmdnZ3bt2gXAs88+S3x8PFlZWahUKp5++ml8fHwAePLJJ9m4cSOzZs1CrVYT\nERGhTCh+6KGHKC0tZc6cOahUKp588kkGDRoEQElJCampqcTFxQGwaNEiYmNjmTNnDg4ODsTExLS5\nkpNer6d///5MnjwZgKKiIrZv305kZKRNWavVyr59+4iKimp13sPDgxdeeIG1a9cqS6xGRETg6enZ\n6ftmZ2dTVVXF/PnzUalUREdHk5CQgNlsRqPRtKqrozkTHemoTXfv3s2XX36Jo6MjVquVmTNn4u/v\n/6OeL4QQQgghBIAqJyfHdvklIWgZTrV48WKYDvz0LTuunfPADjh27BijRo3q6WiEEEIIIXpcQUEB\n/v7+pKSkMHTo0G6vv1uGOQkhhBBCCCF+fa77BGzxK2CkpVegp13o6QCEEEIIIcSVJJkQncv54bgB\n9HLqhUaj6ekwhBBCCCEEkkyILkhLS2PYsGE9HQYAGo1GWTVLCCGEEEL0LJkzIX4xJJEQQgghhLix\nSM+E6NTs2bN7OgSgZYhTSXGJJBRCCCGEEDcISSZE5yYAd/dwDBfg0nuXuHDhgiQTQgghhBA3iGuW\nTCQmJpKfn095eTl6vb7Vjs/x8fF8/fXX3HLLLTg5ObFkyRJlE7eysjISEhKora3FbDYTEBBAWFgY\n0LJpXGJiIkeOHMHOzo7p06czbdq0Nuu/ePEicXFxnD9/HkdHRyIiIhg+/OdtjrBv3z4yMzOxWq14\neHjw0ksvKRvTdfS+PyaWEydOoNPpaGxsxNPTk+joaPr06dNpbPHx8ZSWlmJnZ4e9vT2hoaHK3gsd\ntanRaGTLli2UlZVhsVj43e9+x8yZMzuuzAPo24UGE0IIIYQQN5VrNmdi/PjxJCYm4u3tbXNt3Lhx\npKamotfrCQkJYc2aNcq15ORkHnzwQfR6PXq9ns8//5yjR48CLR/z586dIz09naSkJN5++22+/fbb\nNuvfsWMHvr6+7Nq1i5UrV7J+/XosFstPfp9z586RkpLCpk2beOONN3j44YfR6XRdet+uxmK1WomN\njWXZsmW89dZbjBkzhsTExC7Ft3TpUt544w30ej0vvvgia9euVa511KZJSUkMHDiQN954g+TkZP75\nz39SUlLyY5tHCCGEEEKIa5dM+Pn5odFosFptN9QODAzEzq6lKl9fXyorK2lubgZApVJRV1cHwKVL\nl7BYLMpf5nNzc3n00UcBcHV1ZcKECXz88cdt1p+bm8vUqVMB8PHxQaPRUFRUZFNu//79hIWF0dTU\nBEBMTAzp6ek25c6ePctdd92Fh4cHAAEBARw9epTa2tpO37ersZSWlmJvb8+IESMAmDJlCocOHcJs\nNrf5jldycXFR/m0ymVpd66hNv/nmGwICAgDo1asXw4cP56OPPuq0PiGEEEIIIa7W7XMmdu/ezZgx\nY5TkYsmSJURHR5OVlYXJZGLOnDnKkKGKigq0Wq1yr7e3NydPnrR5Zk1NDRaLRfnwB9BqtVRUVNiU\nDQ4O5vjx4yQlJaHVarFYLMyaNcum3JAhQzh16hRlZWX069ePffv2AVBeXo6rq2u77/djYikvL2/1\nfk5OTri4uFBZWYm3tzebN29m7NixBAYGtlmXXq8nNzcXk8nUqmeiozb18fFh//79DBs2jOrqaj7/\n/HOZgyCEEEIIIX6Sbk0mPvroI/Ly8ti6datyLisri+DgYEJCQqiuriYyMhIfHx/8/f2vWxxLliwh\nPDwck8mEXq9vs0y/fv14/vnniY2Npbm5mYCAAG699VbUavV1i+tqy5cv7/B6aGgooaGhFBQUkJKS\nwvbt21Gr1R22aVhYGMnJyYSGhuLh4cG9997LxYsXu+mNhBBCCCHEr0m3JRMHDhxg165dJCQkcNtt\ntynn9+zZQ1paGgDu7u6MGTOGoqIi/P398fLyory8HF9fXwAMBgNeXl42z3Zzc0OtVmM0GpUegfbK\nQsskZJPJhNVqpaampt2ehnHjxjFu3DgAqqqqyMjIoF+/fh2+54+JRavVYjAYlN8NDQ3U1dV1aQL2\nlUaNGkV9fT1nzpzh7rvv7rBN3d3deemll5R7t2zZwsCBAzuuIB/46qpzfj8cQgghhBCiW2RkZJCR\nkdHqXHV1dQ9F06JbNq3Lyclh586dbN68WVkN6bK+ffsqk4MbGhooLCxUPm6DgoL44IMPaG5upqam\nhpycHCZMmNBmHUFBQWRnZwNQXFxMZWWlMhfhShaLhXXr1rFw4ULCw8NZu3atMn/ialVVVco9O3bs\n4PHHH8fR0bHT9+1qLEOHDsVisVBYWAhAdnY2gYGBODg4dPh8i8VCWVmZ8vvkyZNcvHiR22+/Hei4\nTS8PwwI4deoUn332GY899ljHL3Q/8PRVhyQSQgghhBDdKiQkhOzs7FbHli1bejQmVU5Oju0M4p9A\np9Nx+PBhjEYjbm5uODs7s2vXLgAmT55Mnz59cHNzw2q1olKpSEhIwNXVldOnT7N161YuXbqE2Wxm\n7NixhIaGAtDc3Mz27ds5cuQIKpWKGTNmKEvDlpSUkJqaSlxcHNDS2xAbG4vBYMDBwYGIiIg2P+CT\nk5Opqalh5cqVAGzbto3m5mYiIyNtyr788ssYDAaampqU5VXt7e07fd+OYsnOzqaqqor58+cDLUvD\nJiQkYDab0Wg0REVFKQlXe3Mmvv/+e5YvX059fT12dnY4OTmxYMECRo4cCdBhmx49epTExETUajXO\nzs784Q9/wM+v7cygtLSUxYsXw3Tg562y+/OdB3bAsWPHlCVwhRBCCCFudgUFBfj7+5OSksLQoUO7\nvf5rlkyIXx9JJoQQQgghbmw9nUx0yzAnIYQQQgghxK9Pty8NK36BjLT0DPSkCz1cvxBCCCGEsCHJ\nhOhczg9HD+vl1AuNRtPTYQghhBBCiB9IMiE6lZaWxrBhw3o6DDQajWywJ4QQQghxA5FkQtzwJIkQ\nQgghhLgxSTIhOjV79uwerb+XUy9KikskoRBCCCGEuMFIMiE6NwG4u4fqvgCX3rvEhQsXJJkQQggh\nhLjBXLNkIjExkfz8fMrLy9Hr9dx1112trqempnLgwAEcHBxwd3dHp9MBUFZWRkJCArW1tZjNZmVz\nOACr1UpiYiJHjhzBzs6O6dOnK5vWXe3ixYvExcVx/vx5HB0diYiIYPjwn7c5wj/+8Q/eeecd7Ozs\nUKlULFy4kDFjxgAtm7+9+eabNDU10atXL55//nnlnSMjI6moqODWW28F4KGHHmLmzJlt1nHixAl0\nOh2NjY14enoSHR1Nnz59Oo0tPj6e0tJS7OzssLe3JzQ0VNl/4U9/+hMGgwFoacMzZ86wfv16AgMD\n+etf/8qePXvw9PTEarUyaNAgoqOjO67MA+jblRYTQgghhBA3k2uWTIwfP56QkBCee+45m2vvvvsu\nZ8+eZefOnajVaoxGo3ItOTmZBx98kGnTpmE2mwkLC2PUqFGMHj2affv2ce7cOdLT06mtrVU+mAcM\nGGBTx44dO/D19SU+Pp6SkhJWrVpFRkYGarX6J71PbW0t27dvJy0tjdtuu43jx4+zevVq3nvvPUwm\nE6+++iqJiYn079+f48eP8+qrr/Lmm28CoFKpWLp0Kffff3+HdVitVmJjY1mxYgUjRowgMzOTxMRE\n1qxZ02l8S5cuxcXFBWjZ8frFF18kKysLgFdeeUUpV1JSwssvv8zo0aOVc8HBwSxZsuTHNokQQggh\nhBCtXLNN6/z8/NBoNFitthtqZ2ZmsmjRIuXD3sPDQ7mmUqmoq6sD4NKlS1gsFuUv87m5uTz66KMA\nuLq6MmHCBD7++OM268/NzWXq1KkA+Pj4oNFoKCoqsim3f/9+wsLCaGpqAiAmJob09HSbcs3NzQBK\nbCaTCU9PT6ClN8Xd3V0ZduPn50dFRQWnT5+2ub8jpaWl2NvbM2LECACmTJnCoUOHMJvNnd57OZG4\nHFt79u7dS3Bw8E9OqoQQQgghhGjPdZ8zUV9fj9Fo5ODBg+Tl5aFSqZg5cyYTJkwAYMmSJURHR5OV\nlYXJZGLOnDnKcKGKigq0Wq3yLG9vb06ePGlTR01NDRaLpVWSotVqqaiosCkbHBzM8ePHSUpKQqvV\nYrFYmDVrlk05d3d3IiMjWbRoEW5ubnz//fckJCQAcMcdd1BTU8OJEyfw9fXls88+o6GhAYPBwJAh\nQ4CWnpKdO3cycOBAnn32WW6//XabOsrLy1u9n5OTEy4uLlRWVuLt7c3mzZsZO3YsgYGBbbatXq8n\nNzcXk8nE2rVrba43NjZy4MABtm3b1up8bm4u//rXv3B3d2fOnDmMHDmyzecLIYQQQgjRkeueTFgs\nFiwWC2azmaSkJAwGA8uWLWPAgAEMHjyYrKwsgoODCQkJobq6msjISHx8fPD3979uMS1ZsoTw8HBM\nJhN6vb7NMnV1dezevZvk5GTuvPNODh06xB//+EfeeustXFxcWLNmDTt27ODSpUv4+voyYMAA5a//\n0dHRSi/G+++/T1RUFKmpqT86zuXLl3d4PTQ0lNDQUAoKCkhJSWH79u2teiByc3O58847GTRokHJu\n6tSpzJ49G7VazVdffcWf/vQnkpOT8fLy+tHxCSGEEEKIm9t1TyZcXV1xdnYmODgYaOlduOeeeygu\nLmbw4MHs2bOHtLQ0oKU3YMyYMRQVFeHv74+Xlxfl5eX4+voCYDAY2vzodXNzU+ZiXO6daK8sgNFo\nxGQyYbVaqampwdXV1abMF198gaurK3feeScAgYGBbNy4EYPBQL9+/Rg5ciSvvfYaAGazmRkzZihz\nOS4nEgDTpk0jOTmZ2tpam3q0Wq0yURqgoaGBurq6Lk3AvtKoUaOor6/nzJkz3H33/y279OGHH/LI\nI4+0Kntl781vfvMbhgwZQklJScfJRD7w1VXn/H44hBBCCCFEt8jIyCAjI6PVuerq6h6KpsU1mzPR\nkYkTJ3LkyBGgZUhScXGxMpSpb9++HD16FGj5mC4sLGTgwIEABAUF8cEHH9Dc3ExNTQ05OTnK8Kir\nBQUFkZ2dDUBxcTGVlZXKXIQrWSwW1q1bx8KFCwkPD2ft2rXK/Ikr9e3bl9OnT1NVVQXA119/TXNz\ns/LRffk8wFtvvcWoUaPo27cvFoul1QTzvLw8evfu3WbCMnToUCwWC4WFhQBkZ2cTGBiIg4NDB63Z\n8g5lZWXK75MnT3Lx4sVWQ6nKysooLS1l0qRJre793//+p/z7v//9L9988w2DBw/usD7uB56+6pBE\nQgghhBCiW4WEhJCdnd3q2LJlS4/GdM16JnQ6HYcPH8ZoNLJy5UqcnZ3ZtWsXAM8++yzx8fFkZWWh\nUql4+umn8fHxAeDll19m69at7N69G7PZzNixY5k4cSLQsqRqaWkpc+bMQaVS8eSTTypDdkpKSkhN\nTSUuLg6ARYsWERsby5w5c3BwcCAmJqbNScd6vZ7+/fszefJkAIqKiti+fTuRkZGtyt19993Mnj2b\nF154AQcHB9RqNatXr1Y+9N98802OHz9Oc3Mzvr6+rFixAmjppYiKisJsNqNSqbjtttt49dVXledm\nZ2dTVVXF/PnzUalUREdHk5CQgNlsRqPREBUVpZRtb85EU1MTGzZsoL6+Hjs7O5ycnFi7dq2yFC20\n9EqMGzcOJyenVve+8cYbnDp1Cjs7O9RqNZGRkfTr169L/8dCCCGEEEJcSZWTk2O7/JIQtKw2tXjx\nYpgO/LwtO36688AOOHbsmLKPhhBCCCGEaFFQUIC/vz8pKSkMHTq02+vvlmFOQgghhBBCiF+f6z4B\nW/wKGGnpIegJF3qoXiGEEEII0SlJJkTncn44ekgvp15oNJqeC0AIIYQQQrRJkgnRqbS0NIYNG9Zj\n9Ws0GmW3cSGEEEIIceOQORNCCCGEEEKIn0R6JkSnZs+e3aP193LqRUlxifROCCGEEELcYCSZEJ2b\nANzdaanr4wJceu8SFy5ckGRCCCGEEOIGc82SicTERPLz8ykvL0ev1ys7XEPLjtR//vOfaWhowM7O\njj/84Q/ce++9ALz++ut8+umnODo6Ym9vz4IFC7jvvvsAsFqtJCYmcuTIEezs7Jg+fTrTpk1rs/6L\nFy8SFxfH+fPncXR0JCIiguHDf97mCPv27SMzMxOr1YqHhwcvvfQSnp6ercp8+OGHbNq0iXXr1jF2\n7NhW1woKClixYgXh4eHMmDGjzTpOnDiBTqejsbERT09PoqOj6dOnT6exxcfHU1paip2dHfb29oSG\nhir7MPzpT3/CYDAALW145swZ1q9fT2BgIIcPH2bnzp2cPXuWxx57jCVLlnTeEB5A386LCSGEEEKI\nm8s1SybGjx9PSEgIzz33nM21P/3pT0RFRXHvvffy3//+l+XLl/PWW2/h6OjI8OHDmTt3Lo6Ojnzz\nzTdERESwe/dubrnlFvbt28e5c+dIT0+ntrZW+WAeMGCATR07duzA19eX+Ph4SkpKWLVqFRkZGW3u\ngt0V586dIyUlhddffx0PDw8++ugjdDqdsuM2gMFg4IMPPsDX19fm/rq6OvR6PQEBAe3WYbVaiY2N\nZcWKFYwYMYLMzEwSExNZs2ZNp/EtXboUFxcXAE6fPs2LL75IVlYWAK+88opSrqSkhJdffpnRo0cD\ncOedd/LSSy+Rm5tLQ0NDl9pCCCGEEEKItlyzCdh+fn5oNBqs1tYbaldXV1NdXa30RNxxxx24uLhw\n9OhRAEaPHo2joyMAgwcPBlp6GQByc3N59NFHAXB1dWXChAl8/PHHbdafm5vL1KlTAfDx8UGj0VBU\nVGRTbv/+/YSFhdHU1ARATEwM6enpNuXOnj3LXXfdhYeHBwABAQEcPXqU2tpaoCUR2Lx5MxERETg4\nONjcv3XrVubOnYubm1u7bVZaWoq9vT0jRowAYMqUKRw6dAiz2dzuPZddTiQATCZTu+X27t1LcHCw\nklT169ePwYMH/+QkSwghhBBCiMuu+2pO7u7u9OnTh7y8PKBlyNN//vMfZRjOlfbu3Uvfvn3RarUA\nVFRUKP8G8Pb2pqKiwua+mpoaLBaL8uEPoNVq2ywbHByMj48PSUlJvP3221gsFmbNmmVTbsiQIZw6\ndYqysjKgZcgTQHl5OQDvvPMOfn5+3H237WSCvLw81Go1gYGB7TfMD8+68v2cnJxwcXGhsrISgM2b\nN3Po0KF279fr9cyaNYvVq1ezdu1am+uNjY0cOHCARx55pMM4hBBCCCGE+Cm6ZQL2+vXrSUlJIT09\nnYEDBzJ8+HCbv4wfO3aMXbt2kZCQcN3jWbJkCeHh4ZhMJvR6fZtl+vXrx/PPP09sbCzNzc0EBARw\n6623olarOXv2LJ988glbt261ua+qqoq0tDRee+21nx3n8uXLO7weGhpKaGgoBQUFpKSksH379lbt\nmpuby5133smgQYN+dixCCCGEEEJcrVuSicGDBxMfH6/8nj9/PgMHDlR+FxYWsmnTJuLi4ujXr59y\n3svLi/LycmVOgsFgwMvLy+b5bm5uqNVqjEaj0jvRXlkAo9GIyWTCarVSU1ODq6trm+XGjRvHuHHj\ngJYkISMjg379+vGPf/yD8vJy5syZg/X/s3f/cVFV+ePHXzPA4EiAxgiIrr9S+EqhhZVirfgD+7T1\nkS21TdafiagLJWpIKrlpGogytIpLCpUWEGulFeWPNRPJFn+lSaYCma254kDACCIQMMz3D/J+xBkZ\nTcS13s/H4z4ezr3nnve5x3/um3PPOWYz5eXl6PV6ysrKcHd3p7y8nLCwMMxmMxUVFeRwhCzSAAAg\nAElEQVTm5lJRUcHUqVOb1e/h4dFshKampoaLFy9e0wTsy/n7+1NdXc2pU6eajZRs27atdUYlcoFv\nrjjn9/MhhBBCCCHaRGZmJpmZmc3OVVRU3KLWNGmTZKK8vJw777wTgE8++QStVqvMocjLy2P58uUs\nW7bM4i/ogYGBbNmyhcDAQKqqqsjOzm42AfrKsllZWUyePJn8/HzKysqUuQiXM5lMLF26lNDQUDQa\nDUuWLCE5ORl7e8uuuNRuk8lESkoKTzzxBBqNhuDgYGV+BsCcOXMYO3assprTpk2blGvx8fH07t3b\n6mpO3t7emEwmjhw5wr333ktWVhYBAQFW52Bc+QwGg0FJvE6cOMH58+fp3LmzUubs2bMUFhYSGxvb\nYl3XZDBwYwtjCSGEEEKIGxQSEkJISEizc4cPH2bAgAG3qEWtmEwkJiayb98+jEYj0dHRtG/fnrS0\nNAA+/vhjZeJ0t27dmq02lJCQQH19PStWrMBsNqNSqViwYAE9e/bkkUceobCwkIkTJ6JSqXj66aeV\nhKOgoIANGzYoycX06dOJjY1l4sSJODg4EBMTY3WScWpqKt26dWPkyJFAUzKzZs0aZs+ebVF2xYoV\nGAwGGhoaGDRoENOmTbP67CqV6pr7KSsri/LycqZMmYJKpWLhwoXo9Xrq6+vR6XQsWLCgWd889NBD\nFnMvGhoaWL58OdXV1ajVarRaLUuWLOGOO+5Qymzbto0hQ4ag1Wqb3Xv48GHlXoDPP/+c2bNn25zf\nIYQQQgghxJVU2dnZZtvFxG9RYWEhM2bMgNHcupGJIiClaU7NpX00hBBCCCFEk0sjE+vWrcPb27vN\n49/01ZyEEEIIIYQQv05tMmdC3OaMNI0Q3AqltyiuEEIIIYSwSZIJYVv2z8ct0k7bDp1Od+saIIQQ\nQgghrJJkQtiUnp5O3759b1l8nU5Ht27dbll8IYQQQghhnSQT4r+GJA1CCCGEELcXSSaETRMmTGiT\nOO207SjIL5CEQgghhBDiNiHJhLBtGNDHZqkbUwq1m2spLS2VZEIIIYQQ4jbRaslEUlISubm5FBcX\nk5qayl133aVci4+Pp7CwELVajb29PWFhYc32DPjwww/58MMPsbOzQ61Wk5ycrOwCnZOTw9tvv61s\naBcbG4uHh4dF/PPnzxMXF0dRUREajYbIyEj69fvlmyN8//33xMbGKhvSXbhwgerqaj766CMA6uvr\nee211zh48CAajYa77rqLhQsXApCfn09SUhL19fXU1dXx6KOPMm7cOKtxjh8/TmJiInV1dXTq1ImF\nCxfi5uZms30t9elPP/3EihUrKCgoQK1WExoaSmBgIACrVq3im2++QaVSYTab+eGHH5g5cyZPPvnk\n1YN1BLyuteeEEEIIIcRvRaslE0OHDiUkJIRZs2ZZXHv22WdxcnIC4OTJkzz//PPKS/kXX3zBrl27\neO2119BqtVRUVGBv39Ssb7/9lvXr15OYmMidd95JTU2N1V2tAVJSUvD19SU+Pp6CggIWLVpEZmbm\nVcvb0rNnT1JTU5Xfq1evbrbTdUpKCiqVStnl22g0Ktf0ej1Tp04lICCACxcuMHnyZAYPHmzxF3ez\n2UxsbCzz5s2jf//+vPvuuyQlJbF48WKb7WupTzdu3IhGoyE9PR2DwUB4eDj+/v44OzsTGRmp1FFe\nXs748eMZNmzY9XeQEEIIIYT4zWu1Tev8/PzQ6XSYzZYbal966QWoqqpqdu3dd99l8uTJaLVaAFxd\nXZWX9vfee4+nnnqKO++8EwCtVotGo7Eaf/fu3QQHBwPg4+ODTqcjLy/PotzOnTuZOXMmDQ0NAMTE\nxJCRkdHis9XV1bFz504ee+wxAGpra9m2bRvTpk1TynTs2FH5t0qlUp6zpqYGBwcHnJ2dLeotLCzE\n3t6e/v37AzBq1Cj27t1LfX19i+2Blvs0Oztb6QtPT0/uvfde9uzZY1HHP//5Tx544AE6dOhgM54Q\nQgghhBBXarM5E6mpqezevZuqqiqWLFminD99+jT5+fls2LCBhoYGRo4cyejRowH497//jaenJ7Nn\nz6a6uppBgwbxzDPPNBshAKisrMRkMjV7offw8KCkpMSiHUFBQRw9epTk5GQ8PDwwmUyMHz++xbZ/\n/vnneHl5KZ9uFRUV4ezsTHp6OocOHcLR0ZHJkycrnxlFR0fz4osv8sYbb1BRUcHcuXObte2S4uLi\nZp9sabVanJycKCsrw9PTk4SEBB566CECAgKuq09LSkqa1Xu1vti2bRvh4eEtPrsQQgghhBBX02bJ\nRFhYGGFhYRw+fJh169axZs0a7OzsMJlMGAwGVq9eTWVlJbNnz8bLy4tBgwZhMpk4efIkK1euxGQy\nERMTw0cffcQTTzxxQ22JiIggPDycqqqqZp8yXc22bduUUQkAk8lEcXExPXr0ICwsjJMnTxIVFcWG\nDRvo0KEDmZmZTJ8+neHDh3Pu3Dlmz56Nj4/PdU8sjoqKavH61fr0Wnz99dfU1NQwcODA62qTEEII\nIYQQl7TaZ07Xyt/fn+rqak6dOgU0/dV8xIgRqFQqXF1dGThwIMePH1euDRkyBAcHB9q1a8fvf/97\n5drlXFxcsLOzazZvwWAw4O7ubrUNRqORqqoqzGYzlZWVLbbXYDBw4sQJRowYoZxzd3dHrVYTFBQE\nQO/evencuTOnTp2ioqKCPXv2MHz4cAA6d+5M3759OXr0qEXdHh4eGAwG5XdNTQ0XL168pgnYl7PW\np8XFxc2e4cq+2LZtG//zP/9jMcpjVS7wzhWH5eMIIYQQQoibKDMzk+Dg4GbHnDlzbmmbbnoyYTKZ\nOHv2rPL7xIkTnD9/ns6dOwMwYsQI9u/fDzStQpSXl6d8TjRixAgOHjyI2WzGZDLx5Zdf0rt3b6tx\nAgMDycrKAppWUyorK1PmIlzZnqVLlxIaGkp4eDhLlixR5k9Ys3XrVh5++OFmcxRcXV3x9/fnwIED\nAJw7dw6DwUCPHj1wdnZGq9Xy1VdfAVBRUUF+fj49e/a0qNvb2xuTycSRI0cAyMrKIiAgQFnJ6mps\n9enlfXHu3Dny8vJ4+OGHlfIXL14kJyeHP/zhDy3GUQwG/nzF4XdttwohhBBCiNYREhJCVlZWs+PV\nV1+9pW1qtc+cEhMT2bdvH0ajkejoaNq3b09aWhoNDQ0sX76c6upq1Go1Wq2WJUuWcMcddwAwduxY\nEhMTmTJlCmq1msDAQGUZ0+HDh/Ptt9/yzDPPYGdnh5+fH2PGjAGgoKCADRs2EBcXB8D06dOJjY1l\n4sSJODg4EBMTY/WTn9TUVLp168bIkSMByMvLY82aNcyePduirNlsZseOHSxYsMDi2pw5c1i5ciUp\nKSmo1Wqef/55ZaL4Sy+9xNq1a2lsbKShoYGxY8fi6+sLNCUM5eXlTJkyBZVKxcKFC9Hr9dTX16PT\n6ZrFutqcCVt9+vTTT7NixQrGjx+PnZ0dkZGRuLi4KPdnZ2fj4+NDly5druW/VgghhBBCCKtU2dnZ\nlssvCUHTalMzZsyA0cAv37Lj2hQBKXDo0KFme5AIIYQQQoirO3z4MAMGDGDdunV4e3u3efw2nzMh\nhBBCCCGE+HVos9WcxG3MSNPIwc1UepPrF0IIIYQQrU6SCWFb9s/HTdZO2w6dTnfzAwkhhBBCiFYh\nyYSwKT09nb59+970ODqd7rr34hBCCCGEELeOzJkQQgghhBBC/CIyMiFsmjBhQpvEaadtR0F+gYxO\nCCGEEELcJiSZELYNA/rc5BilULu5ltLSUkkmhBBCCCFuE9eVTCQlJZGbm0txcTGpqanKTtXQtOv0\n3//+d2pqalCr1fzlL3/hvvvuA+D1119nz549aDQa7O3tmTp1Kg888ADQtDFcUlIS+/fvR61WM3r0\naJ588kmr8c+fP09cXBxFRUVoNBoiIyPp1+/GNkBYvHgxx44do6ysjI8//rjZTtdnz54lLi6OyspK\nnJyceOGFF+jRo4fyvElJSdTX11NXV8ejjz7KuHHjgKadvFesWEFBQQFqtZrQ0FBlI74rXRlj/vz5\ndO/e3Wa733jjDXJzc1Gr1ahUKsaNG8fw4cOBlvt0+/btrFmzBi8vL8xmM87OziQmJrYcrCPgZbNJ\nQgghhBDiN+a6komhQ4cSEhLCrFmzLK799a9/ZcGCBdx333385z//ISoqirfffhuNRkO/fv2YNGkS\nGo2G7777jsjISDZt2oSjoyM7duzghx9+ICMjgwsXLhAWFoa/v7/VF+qUlBR8fX2Jj4+noKCARYsW\nkZmZaXWn62sVHBzMnDlzGD16tMU1vV5PcHAwjzzyCDk5OcTHx/Paa68p16ZOnUpAQAAXLlxg8uTJ\nDB48mG7durFx40Y0Gg3p6ekYDAbCw8Px9/fH2dnZZozly5crMVoybtw4QkNDASgtLWXKlCncf//9\nuLi42OxTf39/Xn755V/cZ0IIIYQQQsB1TsD28/NDp9NhNjffNLuiooKKigplJKJr1644OTlx4MAB\nAB588EE0Gg0AvXr1AppGGQB2797N448/DoCzszPDhg3js88+sxp/9+7dBAcHA+Dj44NOpyMvL8+i\n3M6dO5k5cyYNDQ0AxMTEkJGRYbVOf39/XF1dLZ7p/PnzFBYWEhQUBEBgYCAlJSUUFTVtuKBSqaiq\nqgKgpqYGBwcHJVnIzs5W2unp6cm9997Lnj17LGLbitGSy0dQqqurAZRnsNWnVz6rEEIIIYQQv0Sr\nzJlwdXXFzc2NnJwcAgMDyc/P58yZMxgMBouyW7duxcvLCw8PDwBKSkqUf0PTy/eJEycs7qusrMRk\nMtGxY0flnIeHByUlJRZlg4KCOHr0KMnJyXh4eGAymRg/fvx1PVNJSQlubm6o1f+Xb7m7u1NSUoKX\nlxfR0dG8+OKLvPHGG1RUVDB37lylbVc+09XaaSvG+vXr0el0jBo1ymobN2/ezIcffkhpaSlRUVG4\nurpajX9lnx49epSwsDDatWvH2LFjr/oJlhBCCCGEEC1ptQnYy5YtY926dWRkZNCjRw/69etn8fnR\noUOHSEtLQ6/Xt1bYq4qIiCA8PJyqqipSU1Nbvf7MzEymT5/O8OHDOXfuHLNnz8bHx6dVJw8/88wz\nLV4fPXo0o0eP5tSpU7zyyis88MADVj+lutzgwYMZPnw4Go2GH374gXnz5uHu7t4m+0gIIYQQQohf\nl1ZLJnr16kV8fLzye8qUKcpkZYAjR46wcuVK4uLi6NKli3Le3d2d4uJifH19ATAYDLi7u1vU7+Li\ngp2dHUajURkBuFpZAKPRSFVVFWazmcrKSpsv2SqVqtlvd3d3ysrKaGxsVEYOSkpKcHd3p6Kigj17\n9rBo0SIAOnfuTN++fTl69CjdunXDw8OD4uJi7rzzTqWdlyacX2uM69GrVy90Oh1Hjhzh97//fYt9\n6uLiotzXrVs3Bg4cyDfffNNyMpELfHPFOb+fDyGEEEII0SYyMzPJzMxsdq6iouIWtaZJq21aV15e\nrvz7k08+QavVKnMo8vLyWL58OcuWLaNnz57N7gsMDGTLli00NjZSWVlJdnY2w4YNsxojMDCQrKws\noGk1pbKyMvr3729RzmQysXTpUkJDQwkPD2fJkiXK/ImruXIeQYcOHfD29mbHjh0A5OTk4O7ujpeX\nF87Ozmi1Wr766iug6T8xPz9fmQ9yeTvPnTtHXl4eDz/8sEXMlmLYcvr0aeXfZ8+e5eTJk8oE65b6\ntLS0VLmvvLycr776ij59bKz7Ohj48xWHJBJCCCGEEG0qJCSErKysZserr756S9ukys7OvubZuImJ\niezbtw+j0YiLiwvt27cnLS0NgLfeekuZ5NutWzciIyPp1KkTABMnTqS6uho3NzfMZjMqlYoFCxbQ\ns2dPGhsbWbNmDfv370elUjFmzBhlGdOCggI2bNhAXFwc0DTaEBsbi8FgwMHBgcjISKvJxNq1a6ms\nrCQ6OhqA1atX09jYyOzZsy3KLliwgO+++46ysjLc3Nzo2rWrslTqmTNniI+PV5ZtjY6OVpKhw4cP\ns27dOhobG2loaODxxx9n7NixANTW1ipLw9rZ2TVbGjY3N5fc3FyioqJsxmhpzsTChQsxGAzY2dlh\nb29PSEgIQ4YMAWixT19//XX+9a9/4eDgQGNjI8HBwcpk8SsVFhYyY8YMGA3c2Aq8thUBKU2fwvn7\n+9/kYEIIIYQQvw6HDx9mwIABrFu3Dm9v7zaPf13JhPhtkWRCCCGEEOK/261OJlrtMychhBBCCCHE\nb0urTcAWv2JGmkYObqZS20WEEEIIIcR/F0kmhG3ZPx83WTttO3Q63c0PJIQQQgghWoUkE8Km9PT0\nNtmHQqfTteo+HUIIIYQQ4uaSORNCCCGEEEKIX0RGJoRNEyZMaJM47bTtKMgvkNEJIYQQQojbhCQT\nwrZhgI197W5YKdRurqW0tFSSCSGEEEKI20SrJRNJSUnk5uZSXFxMamoqd911l3Lt/PnzxMXFUVRU\nhEajITIykn79mjYuOHv2LH/7298wGo00NjYyceJEZbfmzZs388knn6BSqVCpVDz99NOMHDnSavz8\n/HySkpKor6+nrq6ORx99lHHjxt3QMw0fPpyePXuiVqtRqVQ899xz+Pn52Xze+Ph4jh07hqOjI1qt\nloiICHx8fCzqr62tZe7cudTX12M2m9HpdMyZMwcPDw+bbWspRkt9WlFRwYoVKzAYDJhMJvr27cuc\nOXPQaDRXD9YRsL0ptxBCCCGE+I1ptWRi6NChhISEMGvWLItrKSkp+Pr6Eh8fT0FBAYsWLSIzMxM7\nOzuWL1/OY489xh/+8AcqKiqYMWMG/fr1w83NjZ49e7JmzRrat2/Pjz/+SFhYGPfccw+dO3e2iKHX\n65k6dSoBAQFcuHCByZMnM3jw4Bv6K7dKpSIpKYn27dtf1/MOGTKEefPmoVar2bt3L4sXLyYzM9Oi\nnKOjI3q9Hq1WC8D7779PUlISy5Yts9m2lmK01Kfp6el07dqVV155BbPZzPz589m+fftVd8EWQggh\nhBDialptArafnx86nQ6z2XJD7d27dysvqz4+Pri5uZGXlwfAd999x8CBAwFwdXXlrrvuIju7aR3S\n++67T3mR79SpE3feeSclJSVW46tUKqqqqgCoqanBwcEBZ2dni3I7d+5k5syZNDQ0ABATE0NGRobV\nOs1ms9XnsfW8AQEBqNVNXevr60tZWRmNjY1W23wpkTCbzVy8eFG5z5aWYrTUpwDV1dWYzWbq6uqo\nra2lU6dO1xRTCCGEEEKIy9301ZwqKysxmUx07NhROefp6akkBT4+Pnz66acAFBUVcezYMQwGg0U9\nhw4doqqqiv/3//6f1TjR0dG88cYbjBs3jsmTJzNt2rRmMS8JCgrCx8eH5ORkNm7ciMlkYvz48Vbr\nVKlUzJkzh7CwMF577TVqa2uv+/k3bdrEwIEDW0wSoqKiGDNmDJ9//jmRkZHK+YSEBPbu3XvdMVrq\n00mTJnH27FnGjBnDmDFj6NGjBwEBAdf9XEIIIYQQQtzypWFfeOEFjh8/zvTp03nttdcYMGAAdnZ2\nzcqcOnWKFStW8NJLL+Ho6Gi1nszMTKZPn84//vEP3nzzTV5//XV++OEHq2UjIiL4+uuv+eCDD4iJ\niblq2/7xj3+QkpLCmjVrMBqNrF279rqe7dNPPyUnJ4fnn3++xXIJCQls3ryZYcOGkZaWppyPioqy\n+aJvLcb8+fOv2qefffYZPXr0YPPmzbz33nucOXOGrVu3XtdzCSGEEEIIAW2wmpOLiwt2dnYYjUZl\npMBgMODu7g40jVIsWbJEKf/CCy9w//33K7///e9/ExMTwwsvvMDdd99tNUZFRQV79uxh0aJFAHTu\n3Jm+ffty9OhRq3MmjEYjVVVVmM1mKisrrX4OBSif/zg6OvLEE0+g1+uv+bl37dpFWloaer2eDh06\nXNM9jz32GBMnTmT27Nk3FMPDw8OiTx944AEAsrKyiIqKAkCr1TJkyBCOHDnCY489dvVAucA3V5zz\n+/kQQgghhBBtIjMz02IebkVFxS1qTZM2WRo2MDCQrKwsJk+eTH5+PmVlZfTv3x9oerHv0KEDKpWK\nAwcOcPr0aUaMGAHA6dOnWbBgAc8//zz+/v5Xrd/Z2RmtVstXX33FfffdR0VFBfn5+fzpT3+yKGsy\nmVi6dCmhoaFoNBqWLFlCcnIy9vbNu6KqqgoHBwccHR1pbGwkOzubPn2ubX3U7Oxs1q9fj16vb3E+\nQnl5ORqNhjvuuANoSg4uXxXql8aw1qfDhw8HwMvLiwMHDuDr60tDQwMHDx7knnvuaTnYYKDfNTVL\nCCGEEELcJCEhIYSEhDQ7d/jwYQYMGHCLWgSq7Oxs6zOMr1NiYiL79u3DaDTi4uJC+/btlU92jEYj\nsbGxGAwGHBwciIyMVJKJLVu2KCs7ubm5MWvWLHr06AHAvHnzKCwsxMPDA7PZjEqlYvr06dx///0U\nFBSwYcMG4uLigKaOXLduHY2NjTQ0NPD4448zduxYi3auXbuWyspKoqOjAVi9ejWNjY0WowHHjx9H\nr9ejVqsxmUz06dOH5557Tnnxb+l5R44ciZubGy4uLkq79Xo9zs7OZGVlUV5ezpQpU8jPzycxMZHG\nxkbMZjNdunQhPDwcT09PoOnzp4ceesjqp04txbiyTyMjI+nevTvQNCqUmJioTNi+++67iYyMxMHB\nwSJGYWEhM2bMgNHc/GSiCEhpmhvTUuIohBBCCCH+z6VkYt26dXh7e7d5/FZLJsSvjyQTQgghhBD/\n3W51MnHLJ2ALIYQQQgghbk9tMmdC3OaMNI0c3EylN7l+IYQQQgjR6iSZELZl/3zcZO207dDpdDc/\nkBBCCCGEaBWSTAib0tPT6du3702Po9PprC7lK4QQQggh/jtJMiFuOUkihBBCCCFuT5JMCJsmTJhw\nU+tvp21HQX6BJBRCCCGEELcZSSaEbcOAa9uv7/qVQu3mWkpLSyWZEEIIIYS4zbRaMpGUlERubi7F\nxcWkpqZa7OS8YcMGdu3ahYODA66uriQmJgLw008/sWLFCgoKClCr1YSGhhIYGAiA2WwmKSmJ/fv3\no1arGT16NE8++aTV+OfPnycuLo6ioiI0Gg2RkZH06/fLN0f4/vvviY2NRaVSAXDhwgWqq6v56KOP\nAKivr+e1117j4MGDaDQa7rrrLhYuXNisjsOHDzNv3jzCw8MZM2aM1TjHjx8nMTGRuro6OnXqxMKF\nC3Fzc7PZvvj4eI4dO4ajoyNarZaIiAh8fHwA+Otf/4rBYACa+vDUqVMsW7aMgIAAKioqWLFiBQaD\nAZPJRN++fZkzZw4ajebqwToCXjabJIQQQgghfmNaLZkYOnQoISEhzJo1y+La+++/z/fff8/69eux\ns7PDaDQq1zZu3IhGoyE9PR2DwUB4eDj+/v44OzuzY8cOfvjhBzIyMrhw4QJhYWH4+/sruzlfLiUl\nBV9fX+Lj4ykoKGDRokXKLtC/RM+ePUlNTVV+r169WkksLsVTqVTNdvm+3MWLF0lNTWXQoEFXjWE2\nm4mNjWXevHn079+fd999l6SkJBYvXmyzfUOGDGHevHmo1Wr27t3L4sWLyczMBODll19WyhUUFDB/\n/nwefPBBoGkyddeuXXnllVcwm83Mnz+f7du3ExwcbLtThBBCCCGEuEyrbVrn5+eHTqfDbLbcUPvd\nd99l+vTpyot9x44dlWvZ2dnKi6ynpyf9+/dnz549AOzevZvHH38cAGdnZ4YNG8Znn31mNf7u3buV\nenx8fNDpdOTl5VmU27lzJzNnzqShoQGAmJgYMjIyWny2uro6du7cyWOPPQZAbW0t27ZtY9q0aUqZ\ny58JYNWqVUyaNAkXF5er1ltYWIi9vT39+/cHYNSoUezdu5f6+voW2wMQEBCAWt303+fr60tZWRmN\njY0W5bZu3UpQUFCzpKq6uhqz2UxdXR21tbV06tTJZjwhhBBCCCGudNN3wK6ursZoNPLFF18QHh5O\nREQE2dn/t2lBSUkJHh4eym9PT09KSkpsXrtcZWUlJpOp2Qu9h4eH1bJBQUH4+PiQnJzMxo0bMZlM\njB8/vsVn+Pzzz/Hy8lI+3SoqKsLZ2Zn09HRmzpxJZGQkhw8fVsrn5ORgZ2dHQEBAi/UWFxc3ez6t\nVouTkxNlZWUAJCQksHfv3hbrANi0aRMDBw5UkotL6urq2LVrl5IEAUyaNImzZ88yZswYxowZQ48e\nPWy2UwghhBBCCGtu+gRsk8mEyWSivr6e5ORkDAYDzz33HN27d6dXr143O7xVERERhIeHU1VV1exT\npqvZtm1bsxdyk8lEcXExPXr0ICwsjJMnTxIVFcWGDRtobGwkPT2dv/3tbzfczqioKJtlPv30U3Jy\ncli1apXFtd27d/O73/2Onj17Kuc+++wzevToQWJiIjU1NcTExLB169ZmzyeEEEIIIcS1uOnJhLOz\nM+3btycoKAhoGl24++67yc/Pp1evXnh4eFBcXMydd94JgMFg4IEHHgDA3d2d4uJifH19lWvu7u4W\nMVxcXJS5GJdGJ65WFprmN1RVVWE2m6msrMTZ2fmq7TcYDJw4caLZPAR3d3fUarXyTL1796Zz586c\nOnWKuro6ysvLCQsLw2w2U1FRQW5uLhUVFUydOrVZ3R4eHspEaYCamhouXrx4TROwAXbt2kVaWhp6\nvZ4OHTpYXL8yCQLIyspSkhStVsuQIUM4cuRIy8lELvDNFef8fj6EEEIIIUSbyMzMVObIXlJRUXGL\nWtPkpn/mBDB8+HD2798PNH2SlJ+fr3wyFBgYSFZWFgDnzp0jLy+Phx9+WLm2ZcsWGhsbqaysJDs7\nm2HDhlmNcXk9+fn5lJWVKXMRLmcymVi6dCmhoaGEh4ezZMkSZf6ENVu3buXhhx/GyclJOefq6oq/\nvz8HDhxQ2m0wGOjevTuDBg1i06ZNvPPOO2RmZhIYGMikSZMsEgkAb29vTCYTR62Kg6AAACAASURB\nVI4cAZpe9AMCAnBwcGi5Q2maa7J+/XoSEhKsznk4e/YshYWFjBgxotl5Ly8vpd0NDQ0cPHiw2ciF\nVYOBP19xSCIhhBBCCNGmQkJCyMrKana8+uqrt7RNrTYykZiYyL59+zAajURHR9O+fXtlpaNp06YR\nHx/PRx99hEql4s9//rOyjOnTTz/NihUrGD9+PHZ2dkRGRiqTlh955BEKCwuZOHEiKpWKp59+Wnnx\nLSgoYMOGDcTFxQEwffp0YmNjmThxIg4ODsTExFhdySk1NZVu3boxcuRIAPLy8lizZg2zZ8+2KGs2\nm9mxYwcLFiywuDZnzhxWrlxJSkoKarWa559//ppGFLKysigvL2fKlCmoVCoWLlyIXq+nvr4enU7X\nLFZCQgIPPfSQ1TkNsbGxuLm58eKLL2I2m1GpVOj1emWUZdu2bQwZMgStVtvsvmeffZbExERCQ0Np\nbGzk7rvvZuzYsTbbLYQQQgghxJVU2dnZlssvCUHTalMzZsyA0cAv37KjZUVAChw6dAh/f/+bFEQI\nIYQQ4tfp8OHDDBgwgHXr1uHt7d3m8dvkMychhBBCCCHEr89Nn4AtfgWMNI0g3AylN6leIYQQQghx\n00kyIWzL/vm4Sdpp26HT6W5eACGEEEIIcVNIMiFsSk9Pp2/fvjetfp1OR7du3W5a/UIIIYQQ4uaQ\nZELcMpJECCGEEELc3iSZEDZNmDDhptTbTtuOgvwCSSiEEEIIIW5TkkwI24YBfVq5zlKo3VxLaWmp\nJBNCCCGEELepVksmkpKSyM3Npbi4mNTUVGWHa4D4+HiOHTuGo6MjWq2WiIgIZdO6bdu28f7773P6\n9Gn+8pe/MGbMGOW+iooKVqxYgcFgwGQy0bdvX+bMmYNGo7GIf/78eeLi4igqKkKj0RAZGUm/fje2\nOUJVVRWrVq2ioKAAe3t7AgICCAsLa1Zm27ZtrFy5kqVLl/LQQw8p5zds2MCuXbtwcHDA1dWVxMRE\nqzGOHz9OYmIidXV1dOrUiYULF17T5nct9Wl8fDxffvklHTt2BGDAgAFN+0VwfX2q6Ah42WySEEII\nIYT4jWm1ZGLo0KGEhIQwa9Ysi2tDhgxh3rx5qNVq9u7dy+LFi8nMzATAx8eHl156iXfeecfivvT0\ndLp27corr7yC2Wxm/vz5bN++neDgYIuyKSkp+Pr6Eh8fT0FBAYsWLSIzM9PqLtjXasWKFfj5+RET\nEwOA0Whsdt1gMLBlyxZ8fX2bnX///ff5/vvvWb9+PXZ2dhb3XWI2m4mNjWXevHn079+fd999l6Sk\nJBYvXmyzbS31KcC4ceOaJWaXXE+fCiGEEEII0ZJW27TOz88PnU6H2Wy5oXZAQABqdVMoX19fysrK\naGxsBKBXr15069YNlUpltd7q6mrMZjN1dXXU1tbSqVMnq+V2796tvBD7+Pig0+nIy8uzKLdz505m\nzpxJQ0MDADExMWRkZFiUO3v2LIWFhTz11FPKuUt/6YemRCAhIYHIyEgcHBya3fvuu+8yffp0JZG5\n/L7LFRYWYm9vT//+/QEYNWoUe/fupb6+3mr5y7XUp5fadzXX2qdCCCGEEEK0pM3nTGzatImBAwcq\nL8ItmTRpEi+99BJjxoyhrq6OESNGEBAQYFGusrISk8nU7KXdw8ODkpISi7JBQUEcPXqU5ORkPDw8\nMJlMjB8/3qLc6dOn0el0JCYmUlBQgKurK9OnT6d3794AvPfee/j5+dGnT/PJBNXV1RiNRr744gty\ncnJQqVSMHTuWYcOGWcQoLi7Gw8ND+a3VanFycqKsrAxPT08SEhJ46KGHrD7z5az16ebNm9m2bRue\nnp4888wzSruvtU+FEEIIIYSwpdVGJq7Fp59+Sk5ODs8///w1lf/ss8/o0aMHmzdv5r333uPMmTNs\n3br1htsRERHB119/zQcffKB8wnQlk8nEiRMnGDFiBOvWrWPs2LEsWLAAk8nE999/z+eff251lSOT\nyYTJZKK+vp7k5GQWLVpEcnIyp06duu52RkVF2XzRt9an06ZN45133uGNN97gD3/4A/Pnz6e2tha4\neX0qhBBCCCF+e9psZGLXrl2kpaWh1+vp0KHDNd2TlZVFVFQU0PRX+yFDhnDkyBEee+yxZuVcXFyU\nuQmXRicMBgPu7u5W6zUajVRVVWE2m6msrMTZ2dmijLu7O506dVI+QXrwwQdpaGiguLiYo0ePUlxc\nzMSJEzGbzZSXl6PX6ykrKyM4OJj27dsTFBQEgKenJ3fffTf5+fn06tWrWQwPDw8MBoPyu6amhosX\nL17TBGy4ep9efv/DDz9MSkoKZ86coU+fPtfcp83kAt9ccc7v50MIIYQQQrSJzMzMZnNkoWlxnVup\nTZKJ7Oxs1q9fj16vb/H7/Cu/8/fy8uLAgQP4+vrS0NDAwYMHueeee6zeGxgYSFZWFpMnTyY/P5+y\nsjIlEbicyWRi6dKlhIaGotFoWLJkCcnJydjbN+8KHx8fnJycOHXqFL169eLEiRNAU5IRHBzcbMLy\nnDlzGDt2rLKa0/Dhw9m/fz9//OMfqaysJD8/n5CQEIu2eHt7YzKZOHLkCPfeey9ZWVkEBARYzMGw\npqU+/fHHH5Vzx48f58KFC3Tp0uW6+1QxGLixhbGEEEIIIcQNCgkJsXinPHz4MAMGDLhFLQJVdnb2\n1WfqXofExET27duH0WjExcWF9u3bk5aWBsDIkSNxc3PDxcUFs9mMSqVCr9fj7OzM9u3befPNN6mq\nqsLe3h6tVssrr7xC7969MRgMJCYmKpOL7777bmXCc0FBARs2bCAuLg5oGm2IjY3FYDDg4OBAZGSk\n1WRi7dq1VFZWEh0dDcDq1atpbGxk9uzZFmW//fZbXn31Verq6nBwcCA8PBw/P8s/x8+dO5cxY8Yo\nyURlZSXx8fGcO3cOlUrFH//4RyX5yMrKory8nClTpgBNL/t6vZ76+np0Oh0LFixQEoGW5ky01KdR\nUVEYjUbUajWOjo6EhYUpfdFSn16psLCwaUnZ0bR+MlEEpMChQ4fw9/dv5cqFEEIIIX4bLiUT69at\nw9vbu83jt1oyIX59JJkQQgghhPjvdquTiTadgC2EEEIIIYT49WjzpWHFbchI00hCaypt5fqEEEII\nIUSbk2RC2Jb989HK2mnbodPpWr9iIYQQQgjRJiSZEDalp6fTt2/fVq9Xp9PRrVu3Vq9XCCGEEEK0\nDZkzIW4JSSSEEEIIIW5/MjIhbLK20/eNaqdtR0F+gSQUQgghhBC3MUkmhG3DgD6tWF8p1G6upbS0\nVJIJIYQQQojbWKslE0lJSeTm5lJcXExqaip33XWXci0+Pp5jx47h6OiIVqslIiICHx8fAM6ePYte\nr+fChQvU19czaNAgZs6cCTTtiJ2UlMT+/ftRq9WMHj2aJ5980mr88+fPExcXR1FRERqNhsjISPr1\nu7HNEbZv3857772HWq1GpVIRGhrKwIEDAThw4ABvvvkmDQ0NtGvXjjlz5ijPnJGRwT//+U/Onj3L\nyy+/rGxmZ83x48dJTEykrq6OTp06sXDhQtzc3Gy2raU+veT06dPMnDmT//3f/yUiIqLZNaPRSGho\nKPfccw8vv/xyy8E6Al42mySEEEIIIX5jWm3OxNChQ0lKSsLT09Pi2pAhQ9iwYQOpqamEhISwePFi\n5dratWv5/e9/T2pqKqmpqRw8eJADBw4AsGPHDn744QcyMjJITk5m48aNnD592mr8lJQUfH19SUtL\nIzo6mmXLlmEymX7x81y4cIE1a9ag1+tJTU3lueeeIz4+HoCqqipeeeUVFi5cyOuvv86MGTN45ZVX\nlHvvv/9+VqxYYXUH7suZzWZiY2N57rnnePvttxk4cCBJSUnX1L6W+hTAZDKRmJjI73//e6v3v/rq\nqwwePPiaYgkhhBBCCGFNqyUTfn5+6HQ6zGbLDbUDAgJQq5tC+fr6UlZWRmNjIwAqlYqLFy8CUFtb\ni8lkUv4yv3v3bh5//HEAnJ2dGTZsGJ999pnV+Lt37yY4OBgAHx8fdDodeXl5FuV27tzJzJkzaWho\nACAmJoaMjAyLcpfad6ltVVVVdOrUCWgaTXF1dVU+0fHz86OkpISTJ08q8T09Pa32xeUKCwuxt7dX\nko5Ro0axd+9e6uvrW7wPWu5TgLfeeouhQ4fSpUsXi3u3bt1K586dueeee2zGEUIIIYQQ4mrafDWn\nTZs2MXDgQOVFOCIiguzsbJ566in+9Kc/8cgjjyifC5WUlODh4aHc6+npSUlJiUWdlZWVmEwmOnbs\nqJzz8PCwWjYoKAgfHx9lpMNkMjF+/HiLcq6ursyePZvp06cTEhLCypUrmT9/PgBdu3alsrKS48eP\nA/Cvf/2LmpoaDAbDdfVFcXFxs+fTarU4OTlRVlYGQEJCAnv37rVZz5V9evz4cU6cOGH1k7Bz587x\n8ccfExoael1tFUIIIYQQ4kptOgH7008/JScnh1WrVinnPvroI4KCgggJCaGiooLZs2fj4+PDgAED\nblo7IiIiCA8Pp6qqitTUVKtlLl68yKZNm1i7di2/+93v2Lt3Ly+++CJvv/02Tk5OLF68mJSUFGpr\na/H19aV79+7Y2dm1ajujoqJslrmyT3/66SdWrVrFkiVLrJZfuXIlkZGRaDSaVm2rEEIIIYT47Wmz\nZGLXrl2kpaWh1+vp0KGDcv7DDz8kPT0daBoNGDhwIHl5eQwYMAB3d3eKi4vx9fUFwGAw4O7ublG3\ni4sLdnZ2GI1GZXTiamWhafJxVVUVZrOZyspKnJ2dLcp8+eWXODs787vf/Q5o+qxoxYoVGAwGunTp\nwr333svf/vY3AOrr6xkzZgzdu3e/rj7x8PBoNppRU1PDxYsXr2kCNljv06KiIn788Ufmzp2L2WxW\nnrOqqopnn32W7777TplwXV1dzU8//URUVBQJCQlXD5QLfHPFOb+fDyGEEEII0SYyMzPJzMxsdq6i\nouIWtaZJmyQT2dnZrF+/Hr1er8w7uMTLy4sDBw7w6KOPUlNTw5EjR/jTn/4EQGBgIFu2bCEwMJCq\nqiqys7OJi4uzGiMwMJCsrCwmT55Mfn4+ZWVlVidAm0wmli5dSmhoKBqNhiVLlpCcnIy9ffOu8PLy\n4uTJk5SXl3PnnXdy7NgxGhsblQTl0nmAt99+G39/f7y8rm/JI29vb0wmE0eOHOHee+8lKyuLgIAA\nHBwcbN57tT7t2bMnmzdvVn6/9dZbVFVVKas5ffTRR8q17du3k5uba3s1p8HAjS2MJYQQQgghblBI\nSAghISHNzh0+fPimftFjS6slE4mJiezbtw+j0Uh0dDTt27cnLS0NgNjYWNzc3HjxxRcxm82oVCr0\nej3Ozs7Mnz+fVatWsWnTJurr63nooYcYPnw4AI888giFhYVMnDgRlUrF008/Tc+ePQEoKChgw4YN\nSnIxffp0YmNjmThxIg4ODsTExFj97Cg1NZVu3boxcuRIAPLy8lizZg2zZ89uVq5Pnz5MmDCBuXPn\n4uDggJ2dHS+99JLyov/mm29y9OhRGhsb8fX1Zd68ecq96enpZGVlUVFRQUJCAqtXryYlJQVXV1ey\nsrIoLy9nypQpqFQqFi5ciF6vp76+Hp1Ox4IFC5R6EhISeOihhwgICLB4jpb6VAghhBBCiLagys7O\nbnnJIfGbVVhYyIwZM2A0rTsyUQSkwKFDh/D392/FioUQQgghflsujUysW7cOb2/vNo/f5qs5CSGE\nEEIIIX4d2nQ1J3GbMtI0mtBaSluxLiGEEEIIcctIMiFsy/75aEXttO3Q6XStW6kQQgghhGhTkkwI\nm9LT0+nbt2+r1qnT6ZQdxIUQQgghxO1J5kyINieJhBBCCCHEr4OMTAibJkyY0Kr1tdO2oyC/QBIK\nIYQQQojbnCQTwrZhQJ9WqqsUajfXUlpaKsmEEEIIIcRt7rqSiaSkJHJzcykuLiY1NZW77rpLuZaf\nn8/f//53ampqUKvV/OUvf+G+++4D4PXXX2fPnj1oNBrs7e2ZOnUqDzzwAABms5mkpCT279+PWq1m\n9OjRPPnkk1bjnz9/nri4OIqKitBoNERGRtKv341tgLB48WKOHTtGWVkZH3/8MU5OTsq1s2fPEhcX\nR2VlJU5OTrzwwgv06NHDZlvi4+P58ssv6dixIwADBgxo2q/BiitjzJ8/n+7du9tsd0t9+uGHH/Lx\nxx+jVqtpbGzk8ccfZ/To0QDU1dWh1+v59ttvUalUdO7cmXnz5uHq6nr1YB2B69vcWwghhBBC/AZc\nVzIxdOhQQkJCmDVrlsW1v/71ryxYsID77ruP//znP0RFRfH222+j0Wjo168fkyZNQqPR8N133xEZ\nGcmmTZtwdHRkx44d/PDDD2RkZHDhwgXCwsLw9/e3+kKdkpKCr68v8fHxFBQUsGjRIjIzM63udH2t\ngoODmTNnjvKyfTm9Xk9wcDCPPPIIOTk5xMfH89prr11TW8aNG8eYMWNsxr8yxvLly5UYLWmpTx95\n5BGeeOIJAGpqanjmmWfo168fvXv3Jisri59++ok333wTaNple+PGjUyfPv2a+0wIIYQQQgi4zgnY\nfn5+6HQ6zObmm2ZXVFRQUVGhjER07doVJycnDhw4AMCDDz6IRqMBoFevXkDTX/YBdu/ezeOPPw6A\ns7Mzw4YN47PPPrMaf/fu3QQHBwPg4+ODTqcjLy/PotzOnTuZOXMmDQ0NAMTExJCRkWG1Tn9/f1xd\nXS2e6fz58xQWFhIUFARAYGAgJSUlFBUVXVNbrqzPGlsxWtJSn7Zv314pV11djclkUn6rVCp++ukn\nGhoaMJlM1NTU0KlTJ5vxhBBCCCGEuFKrzJlwdXXFzc2NnJwcAgMDyc/P58yZMxgMBouyW7duxcvL\nCw8PDwBKSkqUfwN4enpy4sQJi/sqKysxmUzKp0MAHh4elJSUWJQNCgri6NGjJCcn4+HhgclkYvz4\n8df1TCUlJbi5uaFW/1++5e7uTklJCXfccYfNtmzevJlt27bh6enJM888Q+/eva8rhpeXF+vXr0en\n0zFq1KgW23plnwLk5OSwYcMGioqKmDZtmhJ/1KhRHDt2jCeffBI7Ozv69u171c/KhBBCCCGEaEmr\nTcBetmwZ69atIyMjgx49etCvXz+Lz48OHTpEWloaer2+tcJeVUREBOHh4VRVVZGamnrT411u2rRp\nuLm5AfDFF18wf/580tPTadeu3XXV88wzz9gsc7U+DQwMJDAwkOLiYhYtWkRAQABdu3bl4MGDmM1m\nPvjgA1QqFXFxcbz55ptMnTr1utomhBBCCCFEqyUTvXr1Ij4+Xvk9ZcoUZbIywJEjR1i5ciVxcXF0\n6dJFOe/u7k5xcTG+vr4AGAwG3N3dLep3cXHBzs4Oo9GojAhcrSyA0WikqqoKs9lMZWUlzs7OLbZf\npVI1++3u7k5ZWRmNjY3KyMGlURRbbbmUSAA8/PDDpKSkcObMGfr06XNNMa72TFe6Wp9ezsPDg759\n+7J3716eeuoptmzZQlBQEPb2Tf/1QUFBvPPOOy0HygW+ueKc38+HEEIIIYRoE5mZmWRmZjY7V1FR\ncYta06TVNq0rLy9X/v3JJ5+g1WqVORR5eXksX76cZcuW0bNnz2b3BQYGsmXLFhobG6msrCQ7O5th\nw4ZZjREYGEhWVhbQtHpUWVkZ/fv3tyhnMplYunQpoaGhhIeHs2TJEmX+xNVcOcehQ4cOeHt7s2PH\nDqDpsyF3d3c6d+5ssy0//vijUs/x48e5cOGC1Zf9q8Xw8rK9dFJLfXr69Gnl3+fPn+err75SVt7q\n3LkzBw8eVJ553759FvdbGAz8+YpDEgkhhBBCiDYVEhJCVlZWs+PVV1+9pW1SZWdn254p/LPExET2\n7duH0WjExcWF9u3bk5aWBsBbb72lTJzu1q0bkZGRysTeiRMnUl1djZubG2azGZVKxYIFC+jZsyeN\njY2sWbOG/fv3o1KpGDNmjPINf0FBARs2bCAuLg5oGm2IjY3FYDDg4OBAZGSk1WRi7dq1VFZWEh0d\nDcDq1atpbGxk9uzZFmUXLFjAd999R1lZGW5ubnTt2pXExEQAzpw5Q3x8vLJsa3R0tPLi3VJboqKi\nMBqNqNVqHB0dCQsLU67l5uaSm5tLVFSUzRgtzZloqU8TExP5+uuv0Wg0mM1mRo0apUwWv3DhAnq9\nntOnT6NSqejWrRtz587FxcXFIkZhYWHTkrajgRtbgff/FAEpTZ9n+fv7t1KlQgghhBC/TYcPH2bA\ngAGsW7cOb2/vNo9/XcmE+G2RZEIIIYQQ4r/brU4mWu0zJyGEEEIIIcRvS6tNwBa/YkaaRhRaQ2kr\n1SOEEEIIIW45SSaEbdk/H62knbYdOp2u9SoUQgghhBC3hCQTwqb09HT69u3bavXpdDq6devWavUJ\nIYQQQohbQ+ZMCCGEEEIIIX4RGZkQNk2YMKFV62unbUdBfoGMTgghhBBC3OYkmRC2DQP62Cx1bUqh\ndnMtpaWlkkwIIYQQQtzmWi2ZSEpKIjc3l+LiYlJTU5Udl6FpF+a4uDiKiorQaDRERkbSr1/TxgWv\nv/46e/bsQaPRYG9vz9SpU3nggQea1W00GgkNDeWee+7h5Zdfthq/pRi/VFVVFatWraKgoAB7e3sC\nAgIICwsDYNy4cTg6OqLRaFCpVPz5z39m6NChze4/fPgw8+bNIzw8nDFjxliNcfz4cRITE6mrq6NT\np04sXLgQNzc3m22Lj4/n2LFjODo6otVqiYiIwMfHB4A33niD3Nxc1Go1KpWKcePGMXz48Gb3X0uf\nKjoCtjflFkIIIYQQvzGtlkwMHTqUkJAQZs2aZXEtJSUFX19f4uPjKSgoYNGiRWRmZmJnZ0e/fv2Y\nNGkSGo2G7777jsjISDZt2oSjo6Ny/6uvvsrgwYOprKy8avyWYvxSK1aswM/Pj5iYGKDpBfwStVrN\nSy+9RK9evazee/HiRVJTUxk0aNBV6zebzcTGxjJv3jz69+/Pu+++S1JSEosXL7bZtiFDhjBv3jzU\najV79+5l8eLFZGZmAk2JTmhoKAClpaVMmTKF+++/v9ku19fSp0IIIYQQQrSk1SZg+/n5odPpMJst\nN9TevXs3wcHBAPj4+KDT6cjLywPgwQcfRKPRACgv5ufPn1fu3bp1K507d+aee+5pMX5LMS63c+dO\nZs6cSUNDAwAxMTFkZGRYlDt79iyFhYU89dRTyrmOHTsq/zabzVaf9ZJVq1YxadKkZi/wVyosLMTe\n3p7+/fsDMGrUKPbu3Ut9fX2LzwoQEBCAWt303+fr60tZWRmNjY0AODk5KeWqq6uV9l5yrX0qhBBC\nCCFES276ak6VlZWYTKZmL+IeHh6UlJRYlN26dSteXl54eHgAcO7cOT7++GPlr+ytESMoKAgfHx+S\nk5PZuHEjJpOJ8ePHW5Q7ffo0Op2OxMREZsyYQXR0NCdPnmxWJjY2ltDQUBISEqioqFDO5+TkYGdn\nR0BAQIvtLi4uVp4VQKvV4uTkRFlZGQAJCQns3bu3xToANm3axMCBA5XkAmDz5s1MmjSJmTNnMnfu\nXFxdXYFr71MhhBBCCCFs+a9ZGvbQoUOkpaXx0ksvKedWrlxJZGSkMnLRWiIiIvj666/54IMPlE+Y\nrmQymThx4gQjRoxg3bp1jB07lgULFmAymQBYvXo1b7zxBikpKbi4uBAXFwdAeXk56enpPPvsszfc\nzqioKJsJyaeffkpOTg7PP/98s/OjR4/m7bffZs2aNWRkZHDhwgXg5vWpEEIIIYT47bnpqzm5uLhg\nZ2eH0WhURg4MBgPu7u5KmSNHjrBy5Uri4uLo0qUL0DTn4NSpU8rk4Orqan766SeioqJISEi47hiX\nMxqNVFVVYTabqaysxNnZ2aKMu7s7nTp1Uj5BevDBB2loaKC4uBgvLy86deoEgJ2dHWPHjmXSpElA\n06dL5eXlhIWFYTabqaioIDc3l4qKCqZOndoshoeHBwaDQfldU1PDxYsXr2kCNsCuXbtIS0tDr9fT\noUMHq2V69eqFTqfjyJEj+Pv7X3OfNpMLfHPFOb+fDyGEEEII0SYyMzOVObKXXP51zK3QJkvDBgYG\nkpWVxeTJk8nPz6esrEx5Sc/Ly2P58uUsW7aMnj17Kvc4OTnx4YcfKr+3b99Obm7uVVceainG5Uwm\nE0uXLiU0NBSNRsOSJUtITk7G3r55V/j4+ODk5MSpU6fo1asXJ06cAJqSjNraWhoaGrjjjjuApnkY\nvXv3BmDQoEFs2rRJqSc+Pp7evXtbXc3J29sbk8nEkSNHuPfee8nKyiIgIAAHBwebfZqdnc369evR\n6/VKYnPJ6dOn6d69O9A09+PkyZN07979uvtUMRi4sYWxhBBCCCHEDQoJCSEkJKTZucOHDzNgwIBb\n1KJWTCYSExPZt28fRqOR6Oho2rdvz/9n797Dqqryx4+/D5cjlwCRAwdxRgUdGUm08EqWeJ+Zmizt\nSl4yDSWYhApUZBzvIAoY4jAClhbwY3LSUSorNdFq8DKjD0ylHLylM+CBgCOIeMHD+f1B7q94EBRP\n6tjn9Tz7ybPX2mt99u6f/WHttVZWVhYAM2bMIC4ujsmTJ2Nra0tsbKyyylJiYiINDQ2sWLECk8mE\nSqUiJiamWWLREp1Ox4YNG5TPi1rr41qZmZl07dqVMWPGAE3JzJo1a4iMjDSrO3fuXBITE7l8+TK2\ntrYsXrwYGxsbfvjhBxYsWEBjYyMmkwkvLy9iYmJu6jnl5eVRXV3N1KlTUalUzJs3j6SkJBoaGtBo\nNM3aSUxMZOjQoS1+6hQXF4ebmxt//OMfleeWlJSEk5MT6enp6PV6rK2tsbGxISIiQvZ0EEIIIYQQ\nFqfKz8+/8ZJE4metpKSEmTNnwgQsNzJRBmQ0zZEJCAiwUKNCCCGEED9PV0cm0tPT6dWr1x3v/56Z\ngC2EEEIIIYT433JH5kyI/3EGmkYULKHSQu0IIYQQQoi7TpIJ0bb8Hw8LImqefAAAIABJREFUsbO3\nQ6PRWK5BIYQQQghxV0gyIdqUnZ1N7969LdaeRqORCeFCCCGEEPcBmTMh7ihJJIQQQggh7h8yMiHa\nNGnSJIu1ZWdvh65YJwmFEEIIIcR9QJIJ0bYRwK8s0E4lXNx8kcrKSkkmhBBCCCHuAxZLJlJTUyko\nKKC8vJzMzEx69OhhVufQoUNER0cTFhZmtiP0qVOnCA0N5fe//z3h4eEAmEwmUlNT2b9/P1ZWVkyY\nMIHx48e32P/Zs2eJj4+nrKwMtVpNREQEffu2f3OEkydPEhcXh0qlAuDcuXPU19ezdetWAA4cOMC7\n777LlStXsLOz44033mh2zxs2bGDXrl3Y2tri4uJCcnKyWR8XL17kzTffpKGhAZPJhEaj4Y033kCr\n1bYZX0JCAt999x0dOnTA3t6e8PBwfH19AVi3bh1fffUVarUaGxsbpk2bxsCBAwF477332LJlC+7u\n7phMJry9vZk3b17rnbkCXjfz1IQQQgghxM+JxZKJ4cOHExwczKxZs1osP3/+PJmZmQwZMsSszGg0\nkpyczGOPPdbs/Pbt2zl9+jQ5OTmcO3eOkJAQAgIC6Natm1kbGRkZ+Pn5kZCQgE6nY/78+eTm5ra4\nC/bN8Pb2JjMzU/m9evVqJbGoq6tj2bJlpKam0rVrV7755huWLVvGu+++C8CHH37IyZMnWb9+PdbW\n1hgMhhb76NChA0lJSdjb2yvXpaamsnTp0jbjGzZsGNHR0VhZWbF3714WLlxIbm4uAH379mXKlCmo\n1WqOHz9OREQEmzZtokOHDgCMHj1aSdiEEEIIIYRoL4tNwPb390ej0WAytbyhdkpKClOmTMHZ2dms\n7L333mP48OF06dKl2fndu3fzxBNPAODk5MSIESP44osvWmx/9+7djBs3DgBfX180Gg1FRUVm9Xbu\n3EloaChXrlwBIDY2lpycnFbv7fLly+zcuVOJpbS0FBcXF+VTHX9/fyoqKjh27BgAGzduZMaMGUoi\n4+rq2mK7KpVKSSRMJhPnz5/Hyurm/pcEBgYqdf38/KiqqqKxsRGAQYMGoVarAfDx8QGaRm6EEEII\nIYSwpDuymtOePXuwtrYmMDDQrOzw4cMcOXKkxc+XKioqmn3y4+npSUVFhVm92tpajEZjs5d2rVbb\nYt3Ro0fj6+tLWloaH3zwAUajkYkTJ7Ya/5dffomXl5fyYv6LX/yC2tpaDh8+DMA//vEPLly4gF6v\np76+HoPBwNdff01YWBjh4eHk57e+SUNUVBTPPPMMX375JREREcr5xMRE9u7d2+q1AJs2bWLw4MEt\nJiLbtm3Dy8ur2XPcvXs3r776Km+99RaFhYVtti+EEEIIIURLfvIJ2NXV1WRnZ/P222+blV26dImU\nlBQWLVr0U4fRTHh4OGFhYdTV1TX7lOlGPv30Ux5//HHlt6OjIwsXLiQjI4OLFy/i5+dHt27dsLa2\nxmg0YjQaaWhoIC0tDb1ez+uvv063bt2UZOR6iYmJQNN+DllZWURGRgJNSUZbduzYwZ49e0hJSTEr\nO3jwIFlZWSQlJSnnxo0bx6RJk7C2tubbb7/lT3/6E2vXrsXDw6PNvoQQQgghhLjWT55MlJSUUF1d\nTUhICCaTiZqaGgoKCqipqWHEiBH88MMPvPnmm5hMJurq6pT/zpkzBw8PD8rLy/Hz8wNAr9e3+NLr\n7OyszE24Ojpxo7oABoNB6au2thYnJ6cbxq/X6zly5AiLFy9udv6hhx5SEqSGhgaeeeYZunfvjpOT\nEw4ODowePRpoGk158MEHKS4uvmEycdXjjz/O5MmTlWSiLbt27VKShY4dOzYrKywsZOXKlcTHxzf7\nfOza0Zs+ffrQs2dPdDpd68lEAfDtdef8fzyEEEIIIcQdkZubq8yRvaqmpuYuRdPkJ08mhgwZwqZN\nm5TfCQkJ9OzZU1nNafPmzUrZe++9R11dnTI5OCgoiE8++YSgoCDq6urIz88nPj6+xX6CgoLIy8vj\n5Zdfpri4mKqqKvr162dWz2g0smTJEqZPn45arWbRokWkpaVhY9Pyo9i2bRuPPvoojo6Ozc5XV1fT\nqVMnAN5//30CAgLo3LkzACNHjmT//v089dRT1NbWUlxcTHBwsFnb1dXVqNVqHnjgAaApOWhpFayW\n5Ofns379epKSknB3d29WVlRUxPLly1m6dCne3t7Nyn744Qel/n//+1+OHz/eZpLDI0D7F8YSQggh\nhBAWEBwcbPZOeejQIfr373+XIrJgMpGcnMy+ffswGAzMnj0bBwcHsrKybqvNsWPHUlJSwuTJk1Gp\nVLzwwgvKy7FOp2PDhg1KcjFjxgzi4uKYPHkytra2xMbGtriSU2ZmJl27dmXMmDFA04v3mjVrWhwN\nMJlMbN++nZiYGLOyd999l2+++YbGxkb8/PyIjo5Wyl599VUSEhLYunUrKpWKl156SVm2NS8vj+rq\naqZOnUpFRQXJyck0NjZiMpno0qVLs2VaExMTGTp0aItzTeLi4nBzc+OPf/wjJpMJlUpFUlISTk5O\nJCYm0tDQwIoVK5SymJgYvL29eeeddzh69ChWVlZYW1sTGRlpNvFdCCGEEEKIm6HKz89vefkl8bNX\nUlLCzJkzYQKWGZkoAzKa5nIEBARYoEEhhBBCiJ+3qyMT6enp9OrV6473f0dWcxJCCCGEEELcf37y\nORPiPmCgaVThdlVaoA0hhBBCCHHPkGRCtC3/x8MC7Ozt0Gg0lmlMCCGEEELcVZJMiDZlZ2fTu3dv\ni7Sl0WiUncOFEEIIIcT/NpkzIYQQQgghhGgXGZkQbZo0aZLF2rKzt0NXrJPRCSGEEEKI+4AkE6Jt\nI4BfWaCdSri4+SKVlZWSTAghhBBC3AcslkykpqZSUFBAeXk5mZmZzXZyPnv2LPHx8ZSVlaFWq4mI\niKBv36aNC9atW8dXX32FWq3GxsaGadOmMXDgwGZtGwwGpk+fTp8+fVi8eHGL/bfWR3vV1dWRkpKC\nTqfDxsaGwMBAQkJCAIiOjsZgMKBSqXBwcOD111+nZ8+eQNMu39999x0dOnTA3t6e8PBwZdO66x0+\nfJjk5GQuX76Mu7s78+bNw83Nrc3YWuujtWe6b98+1q9fz8mTJ3nqqaeU3cZb5Qp43cQDE0IIIYQQ\nPysWSyaGDx9OcHAws2bNMivLyMjAz8+PhIQEdDod8+fPJzc3F2tra/r27cuUKVNQq9UcP36ciIgI\nNm3aRIcOHZTrV61axSOPPEJtbe0N+2+tj/ZasWIF/v7+xMbGAk1JzVULFy7E0dERgK+//prly5ez\nbt06AIYNG0Z0dDRWVlbs3buXhQsXkpuba9a+yWQiLi6O6Oho+vXrx8aNG0lNTWXhwoVtxtZaH609\n01/+8pfMmTOH3bt3c+HChXY/GyGEEEIIISw2Advf3x+NRoPJZL6h9u7duxk3bhwAvr6+aDQaioqK\nABg0aBBqtRoAHx8foGmU4apt27bRuXNn+vTp02r/rfVxrZ07dxIaGsqVK1cAiI2NJScnx6xeaWkp\nJSUlPPfcc8o5V1dX5d9XEwloGsGwsvq/RxkYGKj89vPzo6qqisbGRrM+SkpKsLGxoV+/fgA8+eST\n7N27l4aGhlbvta0+WnumXbp0wcfH57aSLCGEEEIIIeAOzJmora3FaDQ2exHXarVUVFSY1d22bRte\nXl5otVoAzpw5w0cffURKSgq7du2ySB+jR4/mm2++IS0tDa1Wi9FoZOLEiWb1Tp06hUajITk5GZ1O\nh4uLCzNmzFA+ZQKIj4+nsLAQlUpFfHx8i7Ft2rSJwYMHN0s2riovL1fuFcDe3h5HR0eqqqrw9PQk\nMTGRoUOHEhgYeMN7b6uP65+pEEIIIYQQlnLPTMA+ePAgWVlZJCUlKedWrlxJRESE8ld2SwkPDycs\nLIy6ujoyMzNbrGM0Gjly5AghISG8+eabHDhwgJiYGP76178qf9WPiYkBYPv27aSnp7N8+fJmbezY\nsYM9e/aQkpLSrjijoqLarNNaHy09UyGEEEIIISzlJ08mnJ2dsba2xmAwKCMHer0eDw8PpU5hYSEr\nV64kPj6eLl26AHD+/HlOnDihTLiur6/n0qVLREVFkZiYeMt9XMtgMFBXV4fJZKK2thYnJyezOh4e\nHri7uyufIA0aNIgrV65QXl6Ol1fz2chjx44lOTmZc+fOKW3t2rVLeZHv2LFji3FotVr0er3y+8KF\nC5w/f/6mJmC31UdLz7TdCoBvrzvn/+MhhBBCCCHuiNzcXLN5uDU1NXcpmiZ3ZGQiKCiIvLw8Xn75\nZYqLi6mqqlJe0ouKili+fDlLly7F29tbucbR0ZEtW7Yovz/77DMKCgpuuJpTa31cy2g0smTJEqZP\nn45arWbRokWkpaVhY9P8Ufj6+uLo6MiJEyfw8fHhyJEjQFOSUVdXx6VLl5SX/q+//hoXFxclkcjP\nz2f9+vUkJSXh7u5+w+fSq1cvjEYjhYWFPPTQQ+Tl5REYGIitrW2bz7S1Pm70TNvtEeD2FsYSQggh\nhBC3KTg4mODg4GbnDh06RP/+/e9SRKDKz883nzHdDsnJyezbtw+DwYCzszMODg5kZWUBTSMBcXFx\n6PV6bG1tiYiIUF70J0+eTH19PW5ubphMJlQqFTExMWYvwdcnEzqdjg0bNihzFVrr41pr166ltraW\n2bNnA7B69WoaGxuJjIw0q3v06FFWrVrF5cuXsbW1JSwsDH9/f8rLy1m4cCGXL19GpVLh6upKaGio\nshzumDFjcHNzw9nZWbmnpKQknJycyMvLo7q6mqlTpwJNS8MmJSXR0NCARqMhJiZGSQ5amzPRWh+t\nPdNDhw6xfPly6uvrgaakLTIyssU+SkpKmDlzJkzAMslEGZDR9PlVQECABRoUQgghhPh5u5pMpKen\n06tXrzvev8WSCXH/kWRCCCGEEOLedreTCYstDSuEEEIIIYT4eblnVnMS9zADTaMKt6vSAm0IIYQQ\nQoh7hiQTom35Px4WYGdvh0ajsUxjQgghhBDirpJkQrQpOzub3r17W6QtjUZD165dLdKWEEIIIYS4\nu2TOhBBCCCGEEKJdZGRCtGnSpEkWa8vO3g5dsU5GJ4QQQggh7gOSTIi2jQB+ZYF2KuHi5otUVlZK\nMiGEEEIIcR+wWDKRmppKQUEB5eXlZGZmKhu4AURGRlJRUcEDDzwAwNixY3n22WcBeOeddygoKMDK\nygqVSsWLL77IyJEjlWv37NnD+++/r2y+FhcXh1arNev/7NmzxMfHU1ZWhlqtJiIigr592785wsmT\nJ4mLi0OlUgFw7tw56uvr2bp1KwAvvvgiHTp0QK1Wo1KpeOmllxg+fPgtxVJVVUVCQgLl5eXY2try\ni1/8gjfeeAMXF5c240tISOC7776jQ4cO2NvbEx4ejq+vLwDr1q3jq6++Qq1WY2Njw7Rp0xg4cCAA\nJpOJ1NRU9u/fj5WVFRMmTGD8+PGtd+YKeN3kgxNCCCGEED8bFksmhg8fTnBwMLNmzTIrU6lU/OEP\nf+CRRx4xK3vxxReZPn06AJWVlUydOpUBAwbg7OzM0aNHWb9+PcnJyXTq1IkLFy5gbW3dYv8ZGRn4\n+fmRkJCATqdj/vz55Obm3rB+W7y9vcnMzFR+r169WkksAKysrFiwYAE+Pj7tjsXKyoopU6bQp08f\noGl37rVr1zJnzpw24xs2bBjR0dFYWVmxd+9eFi5cSG5uLgB9+/ZlypQpqNVqjh8/TkREBJs2baJD\nhw5s376d06dPk5OTw7lz5wgJCSEgIIBu3bq16zkJIYQQQoifL4tNwPb390ej0WAytbyhdmNjY4vn\nHR0dlX/X19cDKG387W9/47nnnqNTp04A2Nvbo1arW2xn9+7djBs3DgBfX180Gg1FRUVm9Xbu3Elo\naChXrlwBIDY2lpycnFbv7fLly+zcuZPHH39cOWcymW54rzcbi6urq5JIAPTu3Zvy8vJWY7kqMDAQ\nK6um/31+fn5UVVUpz3jQoEHKc7qa7Jw9e1aJ7YknngDAycmJESNG8MUXX9xUn0IIIYQQQlzrjs2Z\nyMjIYP369XTv3p1XX32Vzp07K2WbN29my5YtVFZWEhUVpXzm8/333+Pp6UlkZCT19fUMGTKEV155\npdkIAUBtbS1GoxFXV1flnFarpaKiwiyO0aNH880335CWloZWq8VoNDJx4sRWY//yyy/x8vJq9ukW\nQFxcHNCUBISEhODi4nJLsVyrsbGRLVu28OijjyrnEhMTGTp0KIGBga1eu2nTJgYPHqwkF9fatm0b\nXl5eyqdhFRUVzT4T8/T05MiRI622L4QQQgghREvuSDIxb9483N3dAfj73/9OTEwMGzZsUMonTJjA\nhAkTOHHiBMuWLWPgwIE4OTlhNBo5duwYK1euxGg0Ehsby9atW3n66advK57w8HDCwsKoq6tr9inT\njXz66afNRiWg6bMnd3d3jEYj77zzDvHx8SxfvrzdMa1atQonJyeeeeYZ5VxUVFSb1+3YsYM9e/aQ\nkpJiVnbw4EGysrJISkpqd1xCCCGEEELcyB3ZZ+JqIgEwfvx4zpw5w7lz58zq+fj4oNFoKCwsBJr+\noj9s2DBsbW2xs7Pjscce4/Dhw2bXOTs7Y21tjcFgUM7p9Xo8PDxajMdgMFBXV4fJZKK2trbV2PV6\nPUeOHGHUqFEt3pO1tTXPPvss3377bbtigabEpKqqigULFrQay/V27dpFVlYWiYmJdOzYsVlZYWEh\nK1euJD4+ni5duijnPTw8mn1K1VZsABQA/++645tbClUIIYQQQtym3Nxcxo0b1+x444037mpMP3ky\nYTQam71Y79mzh06dOuHk5ATAqVOnlLLS0lKOHTumTAYeNWoU//znPzGZTBiNRv71r3/Rs2fPFvsJ\nCgoiLy8PgOLiYqqqqujXr1+L8SxZsoTp06cTFhbGokWLlPkTLdm2bRuPPvpos7kdFy9epK6uTvm9\nc+fOZnHdbCzQlEiUlZWxePHiW5osnp+fz/r160lMTGyWrAEUFRWxfPlyli5dire3d7OyoKAgPvnk\nExobG6mtrSU/P58RI0a03tkjwEvXHf43HaoQQgghhLCA4OBg8vLymh2rVq26qzFZ7DOn5ORk9u3b\nh8FgYPbs2Tg4OJCVlUVDQwMxMTE0NDSgUqno2LEjy5YtU65LT09Hr9djbW2NjY0NERERyh4EI0eO\n5OjRo7zyyitYW1vj7++vfAak0+nYsGED8fHxAMyYMYO4uDgmT56Mra0tsbGxLb6cZ2Zm0rVrV8aM\nGQM0vXivWbOGyMhIs7omk4nt27cTExPT7LzBYGDBggU0NjZiMpnw8vJqVqe1WPLy8qiurmbq1Kl8\n++23bN26lV/+8pe89tprAHTu3JnFixcDrc+ZiIuLw83NjT/+8Y/KsrlJSUk4OTmRmJhIQ0MDK1as\nUMpiYmLw9vZm7NixlJSUMHnyZFQqFS+88IJZwiGEEEIIIcTNUOXn57e8JJH42SspKWHmzJkwAWj/\nlh3/pwzIaJrLERAQYIEGhRBCCCF+3g4dOkT//v1JT0+nV69ed7z/OzJnQgghhBBCCHH/uWNLw4r/\nYQaaRhVuV6UF2hBCCCGEEPcMSSZE2/J/PCzAzt4OjUZjmcaEEEIIIcRdJcmEaFN2dja9e/e2SFsa\njUaZYC+EEEIIIf63yZwJccdIIiGEEEIIcX+RkQnRpkmTJlmkHTt7O3TFOkkohBBCCCHuE5JMiLaN\nAH51m21UwsXNF6msrJRkQgghhBDiPmGxZCI1NZWCggLKy8vJzMykR48eSllxcTF//vOfuXDhAlZW\nVrz22ms8/PDDAKxbt46vvvoKtVqNjY0N06ZNY+DAgUDTpnGpqans378fKysrJkyYwPjx41vs/+zZ\ns8THx1NWVoZarSYiIoK+fW9vc4Tt27ezceNGTCYTrq6uzJkzR9lturX7BdiwYQO7du3C1tYWFxcX\nkpOTW+zj8OHDJCcnc/nyZdzd3Zk3bx5ubm5txpaQkMB3331Hhw4dsLe3Jzw8HF9fXwA+/fRTPvzw\nQ06dOsVrr72mbPQHsHnzZj7++GNUKpWyad3VDfxuyBXwajMkIYQQQgjxM2OxZGL48OEEBwcza9Ys\ns7I//elPxMTE8PDDD/Pf//6XqKgo3n//fdRqNX379mXKlCmo1WqOHz9OREQEmzZtokOHDmzfvp3T\np0+Tk5PDuXPnCAkJISAggG7dupn1kZGRgZ+fHwkJCeh0OubPn09ubm6Lu2DfjNOnT5Oens66detw\ndXVlx44dJCcnKztut3a/H374ISdPnmT9+vVYW1tjMBha7MNkMhEXF0d0dDT9+vVj48aNpKamsnDh\nwjbjGzZsGNHR0VhZWbF3714WLlxIbm4uAL6+vixYsID/9//+n9l13t7erFmzBgcHB3744QdCQkLo\n06cPnTt3voWnI4QQQgghhAUnYPv7+6PRaDCZmm+oXVNTQ01NjTIS8Ytf/AJHR0cOHDgAwKBBg1Cr\n1QD4+PgATaMMALt37+aJJ54AwMnJiREjRvDFF1+02P/u3bsZN24c0PQyrdFoKCoqMqu3c+dOQkND\nuXLlCgCxsbHk5OSY1Tt58iQ9evTA1dUVgCFDhnDgwAHOnTvX6v0CbNy4kRkzZiiJzNU2rldSUoKN\njQ39+vUD4Mknn2Tv3r00NDS0WP9agYGBWFk1/e/z8/OjqqqKxsZGoOk5du3aFZVKZXbdww8/jIOD\nAwDu7u506tSJioqKNvsTQgghhBDiej/5ak4uLi64ubmxZ88eoOmTp//85z/o9Xqzutu2bcPLywut\nVgtARUWF8m8AT0/PFl98a2trMRqNzV7atVpti3VHjx6Nr68vaWlpfPDBBxiNRiZOnGhWr2fPnhw9\nepTS0lKg6ZMngPLy8lbvt76+HoPBwNdff01YWBjh4eHk57e8SUN5eXmz+7O3t8fR0ZGqqioAEhMT\n2bt3b6v9AWzatInBgwcrycXNOnjwIHV1dfz617++peuEEEIIIYSAOzQBe+nSpaSnp5OTk0P37t3p\n27ev2edHBw8eJCsri6SkpJ88nvDwcMLCwqirqyMzM7PFOl26dOGNN94gLi6OxsZGhgwZwgMPPNDm\nZ1NGoxGj0UhDQwNpaWno9Xpef/11unXrpoy83KyoqKg26+zYsYM9e/aQkpJyS22fOHGCFStWsGDB\nAjp06HBL1wohhBBCCAF3KJnw8fEhISFB+T116lS6d++u/C4sLGTlypXEx8fTpUsX5byHhwfl5eX4\n+fkBoNfr8fDwMGvf2dlZmZtwdXTiRnUBDAYDdXV1mEwmamtrcXJyarHesGHDGDZsGADV1dXk5uY2\ni68lTk5OODg4MHr0aKBpNOXBBx+kuLjYLJnQarXNRmguXLjA+fPnb2oCNsCuXbuUBKxjx443dQ3A\n999/T2xsLHPmzOHBBx9s+4IC4Nvrzvn/eAghhBBCiDsiNzdXmSN7VU1NzV2Kpskd2bSuurpa+ffH\nH3+Mvb29MoeiqKiI5cuXs3TpUry9vZtdFxQUxCeffEJjYyO1tbXk5+czYsSIFvsICgoiLy8PaPqU\nqqqqSpmLcC2j0ciSJUuYPn06YWFhLFq0SJk/caO4jUYjGRkZPP3008r8jtaMHDmS/fv3A02fYBUX\nF5ut9gTQq1cvjEYjhYWFAOTl5REYGIitrW2bfeTn57N+/XoSExOVFaZacv2cjlOnThETE8Nbb71F\nQEBAm/0A8Ajw0nWHJBJCCCGEEHdUcHAweXl5zY5Vq1bd1ZhU+fn55jOI2yE5OZl9+/ZhMBhwdnbG\nwcGBrKwsAN577z1l4nTXrl2JiIhQXoAnT55MfX09bm5umEwmVCoVMTExeHt709jYyJo1a9i/fz8q\nlYpnnnlGWRpWp9OxYcMGZXUlg8FAXFwcer0eW1tbIiIiWkwm1q5dS21tLbNnzwZg9erVNDY2EhkZ\naVZ37ty56PV6rly5wpAhQwgNDcXGxqbN+62trSUhIYEzZ86gUql46qmnlMnheXl5VFdXM3XqVKBp\nadikpCQaGhrQaDTExMQozyYxMZGhQ4cSGBhoFtuYMWNwc3PD2dlZeW5JSUk4OTnx2Wef8e6771JX\nV4eNjQ329vYsW7aMnj17Eh0dTUlJCVqtVrluxowZDBgwwKyPkpISZs6cCROA21tlF8qAjKbP2W46\niRFCCCGEEK06dOgQ/fv3Jz09nV69et3x/i2WTIj7jyQTQgghhBD3trudTNyRz5yEEEIIIYQQ9587\nMgFb/I8z0DSycDsqLRGIEEIIIYS4l0gyIdqW/+Nxm+zs7dBoNLffkBBCCCGEuCdIMiHalJ2dTe/e\nvW+7HY1GQ9euXS0QkRBCCCGEuBdIMiF+cpJECCGEEELcnySZEG2aNGnSbV1vZ2+HrlgnCYUQQggh\nxH1GkgnRthHAr9p5bSVc3HyRyspKSSaEEEIIIe4zFksmUlNTKSgooLy8nMzMTLMdnzds2MCuXbuw\ntbXFxcWF5ORkAC5dusSKFSvQ6XRYWVkxffp0goKCgKbdm1NTU9m/fz9WVlZMmDBB2bTuemfPniU+\nPp6ysjLUajURERH07Xt7myNs376djRs3YjKZcHV1Zc6cOcqGcqWlpcTHx1NbW4ujoyNz5syhe/fu\ntxzL4cOHSU5O5vLly7i7uzNv3jzc3NzajC0nJ4fPP/+c0tJSFi9ezNChQ5Wy0tJS3n77bQwGA42N\njUyePFnZOXzz5s18/PHHqFQqVCoVL7zwAmPGjGm9M1fAq+3nJYQQQgghfl4slkwMHz6c4OBgZs2a\nZVb24YcfcvLkSdavX4+1tTUGg0Ep++CDD1Cr1WRnZ6PX6wkLCyMgIAAnJye2b9/O6dOnycnJ4dy5\nc4SEhBAQEEC3bt3M+sjIyMDPz4+EhAR0Oh3z588nNzcXa2vrdt3P6dOnSU9PZ926dbi6urJjxw6S\nk5OVHbeTkpIYN24cY8eOZc+ePSQkJPCXv/zllmIxmUzExcURHR1889dmAAAgAElEQVRNv3792Lhx\nI6mpqSxcuLDN+AYMGMCoUaNYsWKFWdny5ct5/PHH+d3vfkdNTQ0zZ86kb9++uLm54e3tzZo1a3Bw\ncOCHH34gJCSEPn360Llz53Y9JyGEEEII8fNlsU3r/P390Wg0mEzmG2pv3LiRGTNmKC/Trq6uSll+\nfj7jxo0DwNPTk379+vHVV18BsHv3bp544gkAnJycGDFiBF988UWL/e/evVtpx9fXF41GQ1FRkVm9\nnTt3EhoaypUrVwCIjY0lJyfHrN7Jkyfp0aOHEuuQIUM4cOAA586d4+zZs5SUlDB69GgAgoKCqKio\noKys7JZiKSkpwcbGhn79+gHw5JNPsnfvXhoaGlq8x2v5+vri6enZ4vM+fvw4gwcPBsDFxYUePXqQ\nn9+0tuvDDz+Mg4MDAO7u7nTq1ImKioo2+xNCCCGEEOJ6P/kO2PX19RgMBr7++mvCwsIIDw9XXmwB\nKioq0Gq1ym9PT0/l5ba1smvV1tZiNBqbJSlarbbFuqNHj8bX15e0tDQ++OADjEYjEydONKvXs2dP\njh49SmlpKdD0yRNAeXk5FRUVuLm5YWX1f4/Pw8ODioqKW4qlvLy82f3Z29vj6OhIVVUVAImJiezd\nu9fsurb4+vqyY8cOAMrKyvjuu+/Q6/Vm9Q4ePEhdXR2//vWvb7kPIYQQQgghfvIJ2EajEaPRSEND\nA2lpaej1el5//XW6deuGj4/PT919i8LDwwkLC6Ouro7MzMwW63Tp0oU33niDuLg4GhsbGTJkCA88\n8ADW1tY0NjbekTijoqLadd3cuXNJS0tjxowZaLVa+vfvb/aJ1YkTJ1ixYgULFiygQ4cOlghXCCGE\nEEL8zPzkyYSTkxMODg7KJ0Genp48+OCDFBcX4+Pjg1arpby8nE6dOgGg1+sZOHAg0PTX/vLycvz8\n/JQyDw8Psz6cnZ2VuRhXRwRuVBfAYDBQV1eHyWSitrYWJyenFusNGzaMYcOGAVBdXU1ubi5dunSh\nvr6eqqoqGhsbldGJq6MotxKLVqttNmJw4cIFzp8/f1MTsFuj1WpZtGiR8nvOnDkMGDBA+f39998T\nGxvLnDlzePDBB9tusAD49rpz/j8eQgghhBDijsjNzSU3N7fZuZqamrsUTZOf/DMngJEjR7J//36g\n6ZOk4uJiZbWnoKAg8vLyADhz5gxFRUU8+uijStknn3xCY2MjtbW15OfnK6sSXe/adoqLi6mqqlLm\nIlzLaDSyZMkSpk+fTlhYGIsWLVLmT1yvurpauSYjI4Onn34atVpNx44d6dWrl/Lp0549e/Dw8FAm\nMd9sLL169cJoNFJYWAhAXl4egYGB2NratvVIW2UwGJS5FAcOHODUqVOMGjUKgFOnThETE8Nbb71F\nQEDAzTX4CPDSdYckEkIIIYQQd1RwcDB5eXnNjlWrVt3VmFT5+fnmM3jbITk5mX379mEwGHB2dsbB\nwYGsrCygKYFISEjgzJkzqFQqnnrqKWWC8sWLF5WlYa2trZstDdvY2MiaNWvYv38/KpWKZ555Rlka\nVqfTsWHDBmV1JYPBQFxcHHq9HltbWyIiIlp8gV+7di21tbXMnj0bgNWrV9PY2EhkZKRZ3blz56LX\n67ly5QpDhgwhNDQUG5umwZz//Oc/JCQkKEvDzp49G29v7zZjycvLo7q6mqlTpwJNS8MmJSXR0NCA\nRqMhJiZGWX42MTGRoUOHEhgYaBZbdnY2eXl51NTU4ODggFqtJiMjAxcXFz755BNl9Sg3NzdmzZql\nLFsbHR1NSUkJWq0Wk8mESqVixowZzUYuriopKWHmzJkwAWjvKrtlQEbT/IybTl6EEEIIIcRNOXTo\nEP379yc9PZ1evXrd8f4tlkyI+48kE0IIIYQQ97a7nUzckc+chBBCCCGEEPefn3wCtrgPGGgaYWiP\nSksGIoQQQggh7iWSTIi25f94tJOdvR0ajcZi4QghhBBCiHuDJBOiTdnZ2fTu3bvd12s0Grp27WrB\niIQQQgghxL1A5kwIIYQQQggh2kVGJkSbJk2adFvX29nboSvWyeiEEEIIIcR9RpIJ0bYRwK/aeW0l\nXNx8kcrKSkkmhBBCCCHuMxZLJlJTUykoKKC8vJzMzExlh2uAyMhIKioqeOCBBwAYO3Yszz77LADv\nvPMOBQUFWFlZoVKpePHFFxk5cqRy7Z49e3j//feVDdbi4uLQarVm/Z89e5b4+HjKyspQq9VERETQ\nt297N0eAkydPEhcXh0qlAuDcuXPU19ezdetWAPbt28e7776LyWSisbGR559/nt/85jdA067Xf/7z\nn7lw4QJWVla89tprPPzww632t379erKyssye3Y3k5OTw+eefU1payuLFixk6dKhSVlpayttvv43B\nYKCxsZHJkycrO4ebTCZSU1PZv38/VlZWTJgwQdkI8IZcAa82QxJCCCGEED8zFksmhg8fTnBwMLNm\nzTIrU6lU/OEPf+CRRx4xK3vxxReZPn06AJWVlUydOpUBAwbg7OzM0aNHWb9+PcnJyXTq1IkLFy5g\nbW3dYv8ZGRn4+fmRkJCATqdj/vz5yi7Q7eHt7U1mZqbye/Xq1UpiARAfH8/bb7+Nt7c3er2el19+\nmWHDhmFvb8+f/vQnYmJiePjhh/nvf/9LVFQU77//Pmq1usW+iouL0el0eHp63nR8AwYMYNSoUaxY\nscKsbPny5Tz++OP87ne/o6amhpkzZ9K3b1/c3NzYvn07p0+fJicnh3PnzhESEkJAQADdunW7hacj\nhBBCCCGEBSdg+/v7o9FoMJla3lC7sbGxxfOOjo7Kv+vr6wGUNv72t7/x3HPP0alTJwDs7e1v+EK+\ne/duxo0bB4Cvry8ajYaioiKzejt37iQ0NJQrV64AEBsbS05OTqv3dvnyZXbu3Mnjjz+unFOpVNTV\n1QFw/vx5XFxcUKvV1NTUUFNTo4xE/OIXv8DR0ZEDBw602PalS5dISUnhrbfeuuGza4mvry+enp4t\nXnP8+HEGDx4MgIuLCz169CA/v2lt1927d/PEE08A4OTkxIgRI/jiiy9uul8hhBBCCCGuumNzJjIy\nMli/fj3du3fn1VdfpXPnzkrZ5s2b2bJlC5WVlURFReHi4gLA999/j6enJ5GRkdTX1zNkyBBeeeWV\nZiMEALW1tRiNRlxdXZVzWq2WiooKszhGjx7NN998Q1paGlqtFqPRyMSJE1uN/csvv8TLy6vZ50fz\n589n/vz52NnZUVdXx+LFi7G2tsbFxQU3Nzf27NlDUFAQxcXF/Oc//0Gv17fYdnp6Ok8//TTu7u5m\nZYmJiQwdOpTAwMBW47uer68vO3bs4IUXXqCsrIzvvvtOed4VFRXNPhPz9PTkyJEjt9S+EEIIIYQQ\ncIeSiXnz5ikvy3//+9+JiYlhw4YNSvmECROYMGECJ06cYNmyZQwcOBAnJyeMRiPHjh1j5cqVGI1G\nYmNj2bp1K08//fRtxRMeHk5YWBh1dXXNPmW6kU8//bTZqITRaCQ7O5slS5bg7++PTqcjNjaWd999\nF2dnZ5YuXUp6ejo5OTl0796dvn37tvi51cGDBykvL2/x0zCAqKiodt3f3LlzSUtLY8aMGWi1Wvr3\n79/uz72EEEIIIYS4kTuSTFz7V/fx48ezdu1azp07h5OTU7N6Pj4+aDQaCgsLeeyxx9BqtQwbNgxb\nW1tsbW157LHHOHz4sFky4ezsjLW1NQaDQRmd0Ov1eHh4tBiPwWCgrq4Ok8lEbW2tWRzX0uv1HDly\nhMWLFyvnjh07RlVVFf7+/kDTSIC7uztHjx6lf//++Pj4kJCQoNSfOnUq3bt3N2v70KFDHD16lJde\negmTycQPP/zA3LlzefPNN295NOJaWq2WRYsWKb/nzJnDgAEDAPDw8KC8vBw/Pz/l/m70nBQFwLfX\nnfP/8RBCCCGEEHdEbm4uubm5zc7V1NTcpWia/OTJhNFopLa2VnnJ37NnD506dVJe4E+dOqVM/i0t\nLeXYsWPK71GjRlFQUMBvfvMbGhsb+de//nXDFZqCgoLIy8vj5Zdfpri4mKqqKvr169diPEuWLGH6\n9Omo1WoWLVpEWloaNjYtP4pt27bx6KOPNpvb4eHhQXV1NadPn6Zr166UlpZSVlamLH1aXV2tzPP4\n+OOPsbe3b3E1p5CQEEJCQpTfwcHBLFu2DB8fn9YfahsMBgMdO3ZEpVJx4MABTp06xahRo4Cm5/TJ\nJ58QFBREXV0d+fn5xMfHt97gI0D7F8YSQgghhBAWEBwcTHBwcLNzhw4don///ncpIgsmE8nJyezb\ntw+DwcDs2bNxcHAgKyuLhoYGYmJiaGhoQKVS0bFjR5YtW6Zcl56ejl6vx9raGhsbGyIiIpSX8pEj\nR3L06FFeeeUVrK2t8ff355lnngFAp9OxYcMG5UV4xowZxMXFMXnyZGxtbYmNjW3x057MzEy6du3K\nmDFjACgqKmLNmjVERkaa1TWZTGzfvp2YmJhm511dXXnzzTdZtGgRVlZWNDY2EhERoYzAfPTRR8qk\n5q5duzYb1cjLy6O6upqpU6ea9adSqZpNqG5tzkR2djZ5eXnU1NSQmJjI6tWrycjIwMXFhYKCAmUl\nKzc3NxISEpSJ62PHjqWkpITJkyejUql44YUX8Pb2NmtfCCGEEEKItqjy8/Nvfgkh8bNSUlLCzJkz\nYQLtH5koAzKa5ocEBARYMDohhBBCCHF1ZCI9PZ1evXrd8f4ttjSsEEIIIYQQ4uflji0NK/6HGWga\nYWiPSksGIoQQQggh7iWSTIi25f94tJOdvR0ajcZi4QghhBBCiHuDJBOiTdnZ2fTu3bvd12s0GmVS\nvRBCCCGEuH/InAkhhBBCCCFEu8jIhGjTpEmTbut6O3s7dMU6GZ0QQgghhLjPSDIh2jYC+FU7r62E\ni5svUllZKcmEEEIIIcR9xmLJRGpqKgUFBZSXl5OZmUmPHj2UsrNnzxIfH09ZWRlqtZqIiAhlJ+t1\n69bx1VdfoVarsbGxYdq0aQwcOLBZ2waDgenTp9OnT59mG8Bdq7U+btf69evJyspqdl8NDQ385S9/\n4Z///CdqtZoePXowb968ZtcdOnSI6OhowsLClM32rnf48GGSk5O5fPky7u7uzJs3Dzc3tzZjysnJ\n4fPPP6e0tJTFixczdOhQpay0tJSkpCTOnTtHQ0MDQ4YMITQ0FGh6lqtWraK0tBSj0cjvf/97nn32\n2dY7cwW82gxJCCGEEEL8zFgsmRg+fDjBwcHMmjXLrCwjIwM/Pz8SEhLQ6XTMnz9f2aG5b9++TJky\nBbVazfHjx4mIiGDTpk106NBBuX7VqlU88sgj1NbW3rD/1vq4HcXFxeh0Ojw9Pc36U6lUZGVlAU0v\n6dc6f/48mZmZDBky5IZtm0wm4uLiiI6Opl+/fmzcuJHU1FQWLlzYZlwDBgxg1KhRrFixwqxs7dq1\nPPbYY4wfP56GhgZCQ0MJCAhg0KBBpKWl0b17dxYvXszFixd5/fXX8ff3x9fX9yaehhBCCCGEEP/H\nYhOw/f390Wg0mEzmG2rv3r2bcePGAeDr64tGo6GoqAiAQYMGoVarAfDx8QGaRhmu2rZtG507d6ZP\nnz6t9t9aH9fauXMnoaGhXLlyBYDY2FhycnJabPPSpUukpKTw1ltvNbuvixcv8umnn/Lqq68q51xd\nXZtdm5KSwpQpU3B2dr5hzCUlJdjY2NCvXz8AnnzySfbu3UtDQ0Or93r1Hj09PVt83iqVivPnzyux\nGo1GZbTj+PHjSoJjZ2dH37592bFjR5v9CSGEEEIIcb2ffDWn2tpajEZjs5dtrVZLRUWFWd1t27bh\n5eWFVqsF4MyZM3z00UdMnz7dYn2MHj0aX19f0tLS+OCDDzAajUycOLHFdtPT03n66adxd3dvdr6s\nrAwnJyeys7MJDQ0lIiKCQ4cOKeV79uzB2tqawMDAVuMuLy9X7hXA3t4eR0dHqqqqAEhMTGTv3r2t\nttGS8PBw8vPzee6553j++ecZO3as8nmWr68vO3fuxGQycfbsWf75z3+i1+tvuQ8hhBBCCCHumQnY\nBw8eJCsri6SkJOXcypUriYiIUEYuLCU8PJywsDDq6urIzMy8YTzl5eUtfrZlNBopLy+ne/fuhISE\ncOzYMaKiotiwYQONjY1kZ2fz9ttv33acUVFR7bpu69atjB49muDgYGpqaoiMjMTX15f+/fsTGhrK\n2rVrCQkJwdXVlYcffrjZSJAQQgghhBA36ydPJpydnbG2tsZgMCgjB3q9Hg8PD6VOYWEhK1euJD4+\nni5dugBNcw5OnDihTLiur6/n0qVLREVFkZiYeMt9XMtgMFBXV4fJZKK2thYnJyezOocOHeLo0aO8\n9NJLmEwmfvjhB+bOncubb76Jn58fVlZWjB49GoCePXvSuXNnTpw4weXLl6muriYkJASTyURNTQ0F\nBQXU1NQwbdq0Zn1otdpmowIXLlzg/PnzNzUBuzVbtmwhOzsbABcXFwYPHkxRURH9+/fHxcWFOXPm\nKHVXrVpF9+7dW2+wAPj2unP+Px5CCCGEEOKOyM3NJTc3t9m5mpqauxRNkzsyMhEUFEReXh4vv/wy\nxcXFVFVVKfMEioqKWL58OUuXLsXb21u5xtHRkS1btii/P/vsMwoKCm64mlNrfVzLaDSyZMkSpk+f\njlqtZtGiRaSlpWFj0/xRhISEEBISovwODg5m2bJlyryOgIAADhw4wODBgzlz5gx6vZ5u3brh5ubG\npk2blOsSEhLo2bNni6s59erVC6PRSGFhIQ899BB5eXkEBgZia2t7M4/1hry8vDhw4AC//e1vuXDh\nAoWFhTz//PNA0ydhjo6OWFtbc/ToUf7xj3+QkZHReoOPAJZZGEsIIYQQQrRTcHAwwcHBzc4dOnSI\n/v3736WILJhMJCcns2/fPgwGA7Nnz8bBwUFZ6WjGjBnExcUxefJkbG1tiY2NVVZZSkxMpKGhgRUr\nVmAymVCpVMTExDRLLFqi0+nYsGED8fHxbfZxrczMTLp27cqYMWOApmRmzZo1REZGttqfSqVqNtn5\njTfeYOXKlWRkZGBlZcVbb711UyMKeXl5VFdXM3XqVFQqFfPmzSMpKYmGhgY0Gg0xMTFK3cTERIYO\nHdri3Ivs7Gzy8vKoqakhMTGR1atXk5GRgYuLC3PnziUlJYVNmzbR0NDA0KFDGTlyJNC0OlVqairW\n1tY4ODiwYMECOnXq1GbcQgghhBBCXE+Vn59vvhyQEDStNjVz5kyYQPtHJsqAjKY5KAEBARaMTggh\nhBBCXB2ZSE9Pp1evXne8/598NSchhBBCCCHE/emeWc1J3MMMNI0wtEelJQMRQgghhBD3EkkmRNvy\nfzzayc7eDo1GY7FwhBBCCCHEvUGSCdGm7Oxsevfu3e7rNRoNXbt2tWBEQgghhBDiXiBzJoQQQggh\nhBDtIiMTok2TJk26revt7O3QFetkdEIIIYQQ4j4jyYRo2wjgV+28thIubr5IZWWlJBNCCCGEEPcZ\niyUTqampFBQUUF5eTmZmJj169FDKzp49S3x8PGVlZajVaiIiIujbt2njgnXr1vHVV1+hVquxsbFh\n2rRpDBw4sFnbBoOB6dOn06dPnxvugN1aH+1VV1dHSkoKOp0OGxsbAgMDlV2xW7vfhIQESkpKsLKy\nwsbGhpCQkBvusXD48GGSk5O5fPky7u7uzJs376Y2v8vJyeHzzz+ntLSUxYsXM3ToUKWstLSUpKQk\nzp07R0NDA0OGDCE0NBSAlJQUvv32W2UTvtOnTxMaGsr48eNv3Jkr4HUTD0wIIYQQQvysWCyZGD58\nOMHBwcyaNcusLCMjAz8/PxISEtDpdMyfP5/c3Fysra3p27cvU6ZMQa1Wc/z4cSIiIti0aRMdOnRQ\nrl+1ahWPPPIItbW1N+y/tT7aa8WKFfj7+xMbGws0JTU3c79/+MMfcHR0BODYsWO89dZbbN261aye\nyWQiLi6O6Oho+vXrx8aNG0lNTWXhwoVtxjZgwABGjRrFihUrzMrWrl3LY489xvjx42loaCA0NJSA\ngAAGDRpERESEUq+6upqJEycyYsSINvsTQgghhBDiehabgO3v749Go8FkMt9Qe/fu3YwbNw4AX19f\nNBoNRUVFAAwaNAi1Wg2Aj48P0DTKcNW2bdvo3Lkzffr0abX/1vq41s6dOwkNDeXKlSsAxMbGkpOT\nY1avtLSUkpISnnvuOeWcq6vrTd3v1UQCmkY3bqSkpAQbGxv69esHwJNPPsnevXtpaGho9V6v3qOn\np2eL/atUKs6fPw/AxYsXMRqNdOrUyaze559/zsCBA+nYsWOb/QkhhBBCCHG9n3zORG1tLUajsdmL\nuFarpaKiwqzutm3b8PLyQqvVAnDmzBk++ugjUlJS2LVrl0X6GD16NN988w1paWlotVqMRiMTJ040\nq3fq1Ck0Gg3JycnodDpcXFyYMWMGPXv2vKn7zszMZPfu3dTV1bFo0aIW65SXlyv3CmBvb4+joyNV\nVVV4enqSmJjI0KFDCQwMvKk+rwoPD2fevHls3bqVuro6Jk+e3GLcn376KWFhYbfUthBCCCGEEFfd\nM0vDHjx4kKysLBYsWKCcW7lyJREREcrIhaWEh4fz73//m7///e/KJ0zXMxqNHDlyhFGjRpGens6z\nzz5LTEwMRqPxpvoICQkhJyeHBQsWkJ6eftPXXSsqKuqWEwmArVu3Mnr0aP72t7/x17/+lR07dnDw\n4MFmdf79739z4cIFBg8efMvtCyGEEEIIAXdgZMLZ2Rlra2sMBoMycqDX6/Hw8FDqFBYWsnLlSuLj\n4+nSpQsA58+f58SJE8qE6/r6ei5dukRUVBSJiYm33Me1DAYDdXV1mEwmamtrcXJyMqvj4eGBu7u7\n8gnSoEGDuHLlCuXl5Xh53fxs5ICAAOrr6zlx4gS/+lXzJZG0Wi16vV75feHCBc6fP39TE7Bbs2XL\nFrKzswFwcXFh8ODBFBUV0b9/f6XOp59+ym9+8xtUKlXbDRYA3153zv/HQwghhBBC3BG5ubnk5uY2\nO1dTU3OXomlyR5aGDQoKIi8vj5dffpni4mKqqqqUl/SioiKWL1/O0qVL8fb2Vq5xdHRky5Ytyu/P\nPvuMgoKCG67m1Fof1zIajSxZsoTp06ejVqtZtGgRaWlp2Ng0fxS+vr44Ojpy4sQJfHx8OHLkCMAN\nE5Rr29fr9UpSdOTIEc6ePUvnzp3N6vbq1Quj0UhhYSEPPfQQeXl5BAYGYmtr22ofbfHy8uLAgQP8\n9re/5cKFCxQWFvL8888r5efPn2fPnj1kZmbeXIOPALe3MJYQQgghhLhNwcHBBAcHNzt36NChZn8w\nvtNU+fn55jN42yE5OZl9+/ZhMBhwdnbGwcGBrKwsoGkkIC4uDr1ej62tLREREcqL/uTJk6mvr8fN\nzQ2TyYRKpSImJqZZYgHmyYROp2PDhg3Ex8e32ce11q5dS21tLbNnzwZg9erVNDY2EhkZaVb36NGj\nrFq1isuXL2Nra0tYWBj+/v6t3u/V0ZP6+nqsrKywt7dn2rRpPPTQQwDk5eVRXV3N1KlTgaalYZOS\nkmhoaECj0RATE4O7uztAq3MmsrOzycvLo6amBgcHB9RqNRkZGbi4uHDs2DFSUlK4ePEiDQ0NDB06\nVFnSFuDjjz/miy++YNWqVa3+Py0pKWHmzJkwgfYnE2VARtNnbDdaHlcIIYQQQrTP1WQiPT2dXr16\n3fH+LZZMiPuPJBNCCCGEEPe2u51M3DMTsIUQQgghhBD/W+7InAnxP85A0whDe1RaMhAhhBBCCHEv\nkWRCtC3/x6Od7Ozt0Gg0FgtHCCGEEELcGySZEG3Kzs6md+/e7b5eo9HQtWtXC0YkhBBCCCHuBTJn\nQvykJJEQQgghhLh/yciEaNOkSZPafa2dvR26Yp0kFEIIIYQQ9yFJJkTbRgC/arOWuUq4uPkilZWV\nkkwIIYQQQtyHLJZMpKamUlBQQHl5OZmZmfTo0cOszqFDh4iOjiYsLIxnnnmmWdmpU6cIDQ3l97//\nPeHh4cD/Z+/u46Iq08ePf4aHkYGA1IEhbDXN4KtFuFom+YAKum2tlmYpqWn5kIurUKkprJsPLYjC\nmNKSQKUlLBul6ewvTVcBy0Vt05WtRcA2077oQOLIg6CMh/n9QZ6vOCOICbl2vV+v81rn3Pc593VO\n+8e5uJ/AZrORnJzMgQMHcHJyYuzYsYwZM8Zh+2fPniU+Pp6TJ0+i1WqJiori/vuvf9vmY8eOERcX\nh0ajAaC6upra2lq2bt0KwP79+3nnnXew2Ww0NDTw9NNP86tf/Uq9fsOGDeTk5ODq6oq3tzdGo9Fh\nO4WFhRiNRurr6/Hx8SEmJobOnTu3GF9mZiY7duygtLSUZcuWMXDgQLWstLSUpKQkqqursVqtDBgw\ngFmzZqlxr1+/nmPHjvH444+r77pZHQH/lqsJIYQQQoiflxuWTAwdOpSIiAjmzp3rsPzcuXOkp6cz\nYMAAuzJFUTAajQwePLjJ+Z07d3LixAkyMzOprq5mxowZ9O3bl27dutndIy0tjd69e5OQkEBxcTGL\nFy8mKysLZ2fn63qe7t27k56erv5eu3atmlgAxMfH8/rrr9O9e3fMZjNTpkxhyJAh6HQ6PvzwQ44d\nO8b69etxdnbGYrE4bMNmsxEXF8f8+fMJDg4mOzub5ORklixZ0mJ8DzzwAGFhYaxcudKubN26dQwe\nPJgxY8ZgtVqZNWsWffv2pX///vziF7/glVdeIS8vj7q6uta/GCGEEEIIIX5wwyZgBwUFodfrsdkc\nb6i9Zs0ann32Wby8vOzK3n33XYYOHUqXLl2anM/Ly+Oxxx4DwNPTk2HDhrF7926H98/Ly2P06NEA\nBAYGotfrKSgosKu3a9cuZs2axcWLFwGIjY0lMzOz2Werr69n165dPProo+o5jUZDTU0N0JgoeXt7\no9VqAcjOzmbmzJlqItOxY0eH9y0pKcHFxYXg4GAARo0axW7ZLagAACAASURBVL59+7Barc3Gc+kZ\n/fz8HL5vjUbDuXPnADh//jyKotCpUycAunTpQo8ePa47yRJCCCGEEOKSdpkzsWfPHpydnQkJCeHT\nTz9tUlZYWMiRI0dYtWoV7777bpOy8vJyDAaD+tvPz48jR47Y3b+qqgpFUZp8tBsMBsrLy+3qhoeH\n8+WXX5KSkoLBYEBRFCZOnNhs/J9++in+/v5Nhm4tXryYxYsX4+bmRk1NDcuWLcPZ2Zna2losFgt7\n9+5lz549aDQaxo0bx7Bhw+zuW1ZW1uT5dDodHh4eVFRU4OfnR2JiIgMHDiQkJKTZ+K40e/ZsYmJi\n2Lp1KzU1NUyePJmePXu26h5CCCGEEEK0pM2TiTNnzpCRkcHrr79uV3bhwgXWrFnD0qVL2zqMJmbP\nnk1kZCQ1NTVNhjJdzfbt25v0SiiKQkZGBsuXLycoKIji4mJiY2N555130Gg0KIqC1WolJSUFs9nM\nnDlz6NatGz169GhVnPPmzWv1swFs3bqV8PBwIiIiqKysJDo6msDAQPr163dd9xNCCCGEEMKRNk8m\nSkpKOHPmDDNmzMBms1FZWUl+fj6VlZUMGzaM77//npdeegmbzUZNTY36v6+88gq+vr6UlZXRu3dv\nAMxmM76+vnZteHl5qXMTLvVOXK0ugMViUduqqqrC09PzqvGbzWaOHDnCsmXL1HNff/01FRUVBAUF\nAY1Djnx8fDh69Cj9+vXD3d2d8PBwoLE35d5776WoqMgumTAYDJjNZvV3XV0d586du6YJ2M3ZsmUL\nGRkZAHh7e/PQQw9RUFBw/clEPvDVFeeCfjiEEEIIIUS7yMrKIisrq8m5ysrKnyiaRm2eTAwYMIBN\nmzapvxMSEujZs6e6mtPmzZvVsnfffZeamhp1haHQ0FA+/vhjQkNDqampITc3l/j4eIfthIaGYjKZ\nmDJlCkVFRVRUVKhzES6nKArLly9n2rRpaLVali5dSkpKCi4ujl/Ftm3bGDRoEB4eHuo5X19fzpw5\nw4kTJ+jatSulpaWcPHlSXf50+PDhHDhwgMcff5yqqiqKioqIiIiwu3dAQACKonD48GH69OmDyWQi\nJCQEV1fXll5rs/z9/fn888955JFHqKur4/Dhwzz99NPXf8OHgetfGEsIIYQQQtwAERERdt+Uhw4d\n+klHn9ywZMJoNLJ//34sFgsLFizA3d2djRs3/qh7jhw5kpKSEiZPnoxGo2H8+PF0794dgOLiYjZs\n2KAmFzNnziQuLo7Jkyfj6upKbGysw0nG6enpdO3alREjRgBQUFDAG2+8QXR0tF1dm83Gzp07WbRo\nUZPzHTt25KWXXmLp0qU4OTnR0NBAVFQUPj4+AEyfPp2EhAS2bt2KRqPhmWeeITAwEACTycSZM2eY\nOnUqGo2GmJgYkpKSsFqt6PX6Jm01N2ciIyMDk8lEZWUliYmJrF27lrS0NLy9vVm4cCFr1qxh06ZN\nWK1WBg4cyPDhw4HG/8OtWLGC2tpaoHE+SHR0dKvnZQghhBBCCKHJzc11vPyS+NkrKSnhhRdegLFc\nX8/ESSANDh48SN++fW9wdEIIIYQQ4lLPRGpqKgEBAe3e/g1bGlYIIYQQQgjx89IuS8OK/3IWGnsZ\nWuv0jQ5ECCGEEELcTCSZEC3L/eG4Dm46N/R6/Q0NRwghhBBC3BwkmRAtysjIoFevXtd1rV6vV1e5\nEkIIIYQQtxaZMyHajCQSQgghhBC3NumZEC2aNGnSdV3npnOjuKhYEgohhBBCiFuUJBOiZcOAe1p5\nzWk4v/k8p0+flmRCCCGEEOIWdcOSieTkZPLz8ykrKyM9PZ277767SfmGDRvIycnB1dUVb29vjEYj\nABcuXGDlypUUFxfj5OTEtGnTCA0NBRo3jUtOTubAgQM4OTkxduxYxowZ47D9s2fPEh8fz8mTJ9Fq\ntURFRXH//de/bfOxY8eIi4tDo9EAUF1dTW1tLVu3bqW+vp7ly5dz/PhxOnTowO233050dDRdunRp\nco9Dhw4xf/58IiMj1R2/r1RYWIjRaKS+vh4fHx9iYmLo3Llzi/FlZmayY8cOSktLWbZsGQMHDlTL\n/vCHP2A2m4HGd/jNN9/w2muvERIS0qp3quoI+LcYkhBCCCGE+Jm5YcnE0KFDiYiIYO7cuXZlH374\nIceOHWP9+vU4OztjsVjUsvfffx+tVktGRgZms5nIyEj69u2Lp6cnO3fu5MSJE2RmZlJdXc2MGTPo\n27cv3bp1s2sjLS2N3r17k5CQQHFxMYsXLyYrK8vhLtjXonv37qSnp6u/165dqyYWAKNGjaJ///4A\nfPTRRyQmJrJ69Wq1/Ny5c6SnpzNgwICrtmGz2YiLi2P+/PkEBweTnZ1NcnIyS5YsaTG+Bx54gLCw\nMFauXGlXtmzZMvXfxcXFLFy4UI21Ne9UCCGEEEKI5tywCdhBQUHo9XpsNvsNtbOzs5k5c6b6Yd+x\nY0e1LDc3l9GjRwPg5+dHcHAwn332GQB5eXk89thjAHh6ejJs2DB2797tsP28vDz1PoGBgej1egoK\nCuzq7dq1i1mzZnHx4kUAYmNjyczMbPbZ6uvr2bVrF48++igAWq1W/TgH6N27N2VlZU2uWbNmDc8+\n+yxeXl5XvW9JSQkuLi4EBwcDjQnKvn37sFqtzcZz6Rn9/Pwcvu/Lbdu2jfDwcPXdt+adCiGEEEII\n0Zw2X82ptrYWi8XC3r17iYyMZPbs2eTm/t+mBeXl5RgMBvW3n58f5eXlLZZdrqqqCkVRmiQpBoPB\nYd3w8HACAwNJSUnh/fffR1EUJk6c2OwzfPrpp/j7+9sN3bpk06ZNTYYZ7dmzB2dnZ0JCQpq9b1lZ\nWZPn0+l0eHh4UFFRAUBiYiL79u1r9h7Nqa+vJycnR02C4NrfqRBCCCGEEC1p8wnYiqKgKApWq5WU\nlBTMZjNz5syhW7du9OjRo62bd2j27NlERkZSU1PTZCjT1Wzfvr3JB/nlMjIyOHnyJPPmzQPgzJkz\nZGRk8Prrr//oOC/d83rl5eXxi1/8gu7du//oWIQQQgghhLhSmycTnp6euLu7Ex4eDjT+Jfzee++l\nqKiIHj16YDAYKCsro1OnTgCYzWYefPBBAHx9fSkrK6N3795qma+vr10bXl5e6lyMS70TV6sLYLFY\nqKmpwWazUVVVhaen51XjN5vNHDlypMk8hEvef/99/v73v5OUlIRWqwUahy6dOXOGGTNmYLPZqKys\nJD8/n8rKSp5//vkm1xsMBnWiNEBdXR3nzp27pgnY18JREnSt77SJfOCrK84F/XAIIYQQQoh2kZWV\nRVZWVpNzlZWVP1E0jdpl07rhw4dz4MABoHFIUlFRkTpkKDQ0FJPJBMCpU6coKChg0KBBatnHH39M\nQ0MDVVVV5ObmMmzYMIdtXH6foqIiKioq1LkIl1MUheXLlzNt2jQiIyNZunSpOn/CkW3btjFo0CA8\nPDyanM/OziYnJ4dVq1bh7u6unh8wYACbNm3iz3/+M1lZWYSGhvLss8/aJRIAAQEBKIrC4cOHATCZ\nTISEhODq6nrVeK5VaWkpJSUlhIWFNTnfmneqehh45opDEgkhhBBCiHYVERGByWRqcly+ANBP4Yb1\nTBiNRvbv34/FYmHBggW4u7uzceNGAKZPn05CQgJbt25Fo9HwzDPPEBgYCMD48eNZuXIlEydOxNnZ\nmaioKHXS8siRIykpKWHy5MloNBrGjx+vDtkpLi5mw4YNxMfHAzBz5kzi4uKYPHkyrq6uxMbGOlzJ\nKT09na5duzJixAgACgoKeOONN4iOjrara7PZ2LlzJ4sWLWpy/vvvv2fdunX4+/vz0ksvYbPZ0Gq1\n/OlPf2rxPZlMJs6cOcPUqVPRaDTExMSQlJSE1WpFr9c3aSsxMZGBAwc6nHuRkZGByWSisrKSxMRE\n1q5dS1paGt7e3kBjr8SQIUPQ6XRNrmvunQohhBBCCNEamtzc3OaXAxI/WyUlJbzwwgswFmjtlh0n\ngTQ4ePAgffv2bYPohBBCCCHEoUOH6NevH6mpqQQEBLR7++0yzEkIIYQQQghx62nzCdjiFmChsaeh\nNU63RSBCCCGEEOJmIsmEaFnuD0cruenc0Ov1NzwcIYQQQghxc5BkQrQoIyODXr16tfo6vV5P165d\n2yAiIYQQQghxM5A5E0IIIYQQQojrIj0TokWTJk26ruvcdG4UFxVL74QQQgghxC1KkgnRsmHAPa28\n5jSc33ye06dPSzIhhBBCCHGLavNkoqqqipdffhmNRgPA+fPnOXXqFB999BG33XYbRUVFJCcnY7Va\nqa+v55FHHmHChAkAXLhwgZUrV1JcXIyTkxPTpk0jNDTUYTulpaXEx8dTVVWFh4cHCxcupFu3btcd\nt9lsZuLEidx9993YbDY0Gg1Lly7ljjvuAKCwsBCj0Uh9fT0+Pj7ExMTQuXPnVseyb98+1q1bh81m\no3v37ixcuNBuozlHkpOTyc/Pp6ysjPT0dHVH8Us2bNhATk4Orq6ueHt7YzQam5QfP36cWbNm8Zvf\n/IbZs2c331hHwL/FkIQQQgghxM9MmycTXl5epKenq7+zs7MpKCjgtttuAyApKYnnn3+ekJAQqqur\nmTJlCg8//DBdu3bl/fffR6vVkpGRgdlsJjIykr59++Lp6WnXTlJSEqNHj2bkyJHs2bOHFStW8Oab\nb/6o2D08PEhLS7M7b7PZiIuLY/78+QQHB5OdnU1ycjJLlixpVSx1dXWsWrWKtWvXcuedd7J27Vre\nffddZs2a1WJsQ4cOJSIigrlz59qVffjhhxw7doz169fj7OyMxWJpUq4oCkajkcGDB1/jmxBCCCGE\nEMJeu0/A3rZtG48++qj6W6PRUFNTAzR+XLu6uqrJQm5uLqNHjwbAz8+PPn368Nlnn9nd8+zZs5SU\nlBAeHg5AaGgo5eXlnDxpvzlCRkYGsbGxAFitVl544QV2797tMFabzfHm4CUlJbi4uBAcHAzAqFGj\n2LdvH1artVWxfP755wQEBHDnnXcC8Pjjj5OTk+OwzSsFBQWh1+sdxpidnc3MmTNxdnYGoGPHjk3K\n3333XYYOHUqXLl2uqS0hhBBCCCEcaddk4quvvqKmpoaQkBD13IIFC3j77beZMGECU6ZMYfr06erH\nb3l5OQaDQa1rMBgoLy+3u295eTmdO3fGyen/HsfX19dh3UmTJqEoCtnZ2aSkpPA///M/hIWFOYz3\nwoULzJo1ixdeeIH33ntP/XAvKytrEpdOp8PDw4OKiopWxXLlffz8/Dhz5gwNDQ0ALFy4kJKSEoex\nXU1tbS0Wi4W9e/cSGRnJ7Nmzyc39v00iCgsLOXLkCGPGjGnVfYUQQgghhLhSu07A3r59OyNHjmzy\noZ2VlcXMmTMZPnw4p06dIjo6msDAwDadtBsTE8PMmTPx9PQkJSXFYR29Xs8HH3yAt7c3NTU1LF26\nlOzsbMaPH99mcV1pxYoVrb5GURQURcFqtZKSkoLZbGbOnDl069aNLl26sGbNGpYuXdoG0QohhBBC\niJ+bdksm6urqyMvLY926deq5yspKPvvsMxYvXgzAHXfcQa9evfjyyy/p2rUrBoOBsrIyOnXqBDRO\nin7wwQft7u3r60tFRQUNDQ1qolJeXo6vr6/DWMxmMw0NDdTW1nL+/HlcXV3t6ri4uODt7Q3Abbfd\nxq9//Wt2797N+PHjMRgMmM3mJs927tw5OnfujJub2zXHYjAYOHjwoPr71KlTdr0areXp6Ym7u7s6\nzMrPz497772XoqIiNBoN33//PS+99BI2m42amhr1f1955ZWr3zQf+OqKc0E/HEIIIYQQol1kZWWR\nlZXV5FxlZeVPFE2jdhvmlJOTQ8+ePfnFL36hnvP09ESn0/HPf/4TaHwZRUVF9OjRA2icb2AymYDG\nD+2CggIGDRpkd+/bb7+dgIAAdu7cCcCePXvw9fXF399+CaJz587x2muvERMTw+jRo4mLi3MY79mz\nZ1EUBYD6+no+/fRT7rmncX3UgIAAFEXh8OHDAJhMJkJCQnB1dW1VLP379+fo0aN899136n2GDRvW\n0qts0fDhwzlw4ADQuJpWUVERd999N927d2fz5s38+c9/Jisri3HjxvHrX/+6+UQC4GHgmSsOSSSE\nEEIIIdpVREQEJpOpybF69eqfNKZ265n45JNP+M1vftPknJOTE6+++irr1q2joaGBixcvMm7cOHr1\n6gXA+PHjWblyJRMnTsTZ2ZmoqCi8vLwAyM/PJz8/n3nz5gHw4osvkpCQwJ///Gc8PDxYsGCBwzhW\nrVrFiBEj6NOnD3369OFf//oXf/nLX9TlaC/58ssv1dWQFEXhl7/8pbp5m0ajISYmhqSkJKxWK3q9\nnkWLFqnXNhfL+vXr0ev1jBo1Cp1Ox/z58/n9739PQ0ODujTsJQsXLuT5558nICDA7jmMRiP79+/H\nYrGwYMEC3N3d2bhxIwDTp08nISGBrVu3otFoeOaZZwgMDLy2/1BCCCGEEEJcI01ubq7jJYvEz15J\nSQkvvPACjAXub+XFJ4E0OHjwIH379m2D6IQQQgghxKFDh+jXrx+pqakO/wDd1tp9aVghhBBCCCHE\nraFdV3MS/6UsNPY0tMbptghECCGEEELcTCSZEC3L/eFoJTedG3q9/oaHI4QQQgghbg6STIgWZWRk\nqJPiW0Ov17fpfiFCCCGEEOKnJXMmhBBCCCGEENdFeiZEiy4tidtabjo3iouKpXdCCCGEEOIWJcmE\naNkw4J5WXnMazm8+z+nTpyWZEEIIIYS4Rd2wZCI5OZn8/HzKyspIT0/n7rvvVssSEhL497//TYcO\nHdDpdMyePVvdRK20tJSkpCSqq6uxWq0MGDCAWbNmAWCz2UhOTubAgQM4OTkxduxYxowZ47D9s2fP\nEh8fz8mTJ9FqtURFRXH//a3dHKGp4cOH0717d5ycnNBoNMyZM4egoCCqqqp4+eWX0Wg0AJw/f56T\nJ0+yZcsWbrvtNiIjI7l48SIAFy9e5Ntvv+Xtt9+me/fudm0UFhZiNBqpr6/Hx8eHmJgYOnfu3GJs\nmZmZ7Nixg9LSUpYtW8bAgQOblG/ZsoUtW7bg7OyMk5MTKSkpuLq6quUWi4Vp06Zx3333sWzZsuYb\n6wjYb+AthBBCCCF+5m5YMjF06FAiIiKYO3euXdmQIUOYP38+Tk5O7Nu3jyVLlpCVlQXAunXrGDx4\nMGPGjMFqtTJr1iz69u1L//792blzJydOnCAzM5Pq6mpmzJhB37596datm10baWlp9O7dm4SEBIqL\ni1m8eDFZWVk4Oztf9zNpNBqSk5Nxd3dvct7Ly4v09HT1d3Z2NgUFBdx2220ApKSkqGV79uzhvffe\nc5hI2Gw24uLimD9/PsHBwWRnZ5OcnMySJUtajO2BBx4gLCyMlStX2pXt3buXnJwc3nzzTXQ6HZWV\nlbi4NP1PvXr1ah5++GGqqqpabEsIIYQQQghHbtgE7KCgIPR6PTab/YbaISEhODk1NtW7d28qKipo\naGgAGj/Yz507BzT+hV9RFPUv83l5eTz22GMAeHp6MmzYMHbv3u2w/by8PEaPHg1AYGAger2egoIC\nu3q7du1i1qxZas9BbGwsmZmZDu9ps9kcPs+Vtm3bpsZ5pe3bt/Poo486LCspKcHFxYXg4GAARo0a\nxb59+7BarS22GRgYiJ+fn8P4srOzmTJlCjqdDgBvb2+1F+VSvHfccQf33Xdfi+0IIYQQQghxNe2+\nmtOmTZt46KGH1ORi9uzZ5Obm8tRTT/H0008zcuRIdYhUeXk5BoNBvdbPz4/y8nK7e1ZVVaEoCh07\ndlTPGQwGh3XDw8MJDAwkJSWF999/H0VRmDhxosNYNRoNL774IjNmzODNN9/k/PnzdnW++uorampq\nGDBggF1ZeXk5BQUFjBgxwuH9y8rKmjyfTqfDw8ODiooKABITE9m3b5/Da5tz/PhxioqKmDNnDr/9\n7W/ZvHmzWnbq1Cn++te/Mm3atFbfVwghhBBCiMu16wTsv/3tb+zZs4c1a9ao57Zu3Up4eDgRERFU\nVlYSHR1NYGAg/fr1a7M4Zs+eTWRkJDU1NU2GK13pL3/5Cz4+Ply4cIGkpCTWrVtHdHR0kzrbt29n\n5MiRanJ0uR07dhASEoKXl9d1xTlv3rzruk5RFMxmM2vXrqWqqoro6Gj8/f0ZMGAAq1atIioqCq1W\ne133FkIIIYQQ4pJ2SyZycnLYuHEjSUlJ3H777er5LVu2kJGRATQOx3nooYcoKCigX79++Pr6UlZW\nRu/evQEwm834+vra3dvLywtnZ2csFovaO3G1utA4+bimpgabzUZVVRWenp4O6/n4+ADQoUMHnnji\nCZKSkpqU19XVkZeXx7p16xxe/8knn/DSSy9d9Z0YDAbMZnOT+507d+6aJmA3x2AwEBYWhkajUd9p\nYWEhQUFBfPPNN+qE69raWi5cuMC8efNITEy8+g3zga+uOBf0wyGEEEIIIdpFVlaWOu/4ksrKyp8o\nmkbtkkzk5uayfv16kpKS1A/0S/z9/fn888955JFHqKur4/Dhwzz99NMAhIaG8vHHHxMaGkpNTQ25\nubnEx8c7bCM0NBSTycSUKVMoKiqioqJCnYtwOUVRWL58OdOmTUOr1bJ06VJSUlLsJijX1NTg6upK\nhw4daGhoIDc3l3vuabo+ak5ODj179uQXv/iFXTsHDx5EUZRme1gCAgJQFIXDhw/Tp08fTCYTISEh\nTVZduh5hYWEcOHCAPn36cOHCBQoKCpgwYQIeHh5s2bJFrffJJ5+Qn5/f8mpODwM/bmEsIYQQQgjx\nI0VERBAREdHk3KFDh9p0RE9LblgyYTQa2b9/PxaLhQULFuDu7s7GjRsBiIuLo3Pnzvz+97/HZrOh\n0WhISkrC09OThQsXsmbNGjZt2oTVamXgwIEMHz4cgJEjR1JSUsLkyZPRaDSMHz9eXRWpuLiYDRs2\nqMnFzJkziYuLY/Lkybi6uhIbG+twJaf09HS6du2qzmMoKCjgjTfesBu+dOLECZKSknByckJRFO65\n5x7mzJnTpM4nn3zCb37zG4fvY/v27fz617+2O28ymThz5gxTp05Fo9EQExNDUlISVqsVvV7PokWL\n1LqJiYkMHDiQkJAQu/tkZGRgMpmorKwkMTGRtWvXkpaWhre3N+PGjcNoNDJ16lScnJwIDQ0lNDTU\n8X84IYQQQgghrpMmNze35eWKxM9SSUkJL7zwAoyl9T0TJ4G0xh6avn37tkF0QgghhBDiUs9Eamoq\nAQEB7d5+u6/mJIQQQgghhLg1tOtqTuK/lIXGnobWON0WgQghhBBCiJuJJBOiZbk/HK3kpnNDr9ff\n8HCEEEIIIcTNQZIJ0aKMjAx69erV6uv0ej1du3Ztg4iEEEIIIcTNQOZMiDYhiYQQQgghxK1PeiZE\niyZNmtTqa9x0bhQXFUtCIYQQQghxC5NkQrRsGHBPi7X+z2k4v/k8p0+flmRCCCGEEOIWdsOSieTk\nZPLz8ykrKyM9PZ27775bLUtISKCkpAQnJydcXFyYMWNGk70HtmzZwpYtW3B2dsbJyYmUlBR1F+g9\ne/bw3nvvqZvdxcXFYTAY7No/e/Ys8fHxnDx5Eq1WS1RUFPff/+O2ba6pqWHNmjUUFxfj4uJCSEgI\nM2bMoL6+nuXLl3P8+HE6dOjA7bffTnR0NF26dFGf99///jcdOnRAp9Mxe/ZsAgMDHbZRWFiI0Wik\nvr4eHx8fYmJi6Ny5c4uxZWZmsmPHDkpLS1m2bBkDBw5sUn61d2qz2UhOTubAgQM4OTkxduxYxowZ\n03xjHQH/a3plQgghhBDiZ+SGJRNDhw4lIiKCuXPn2pX97ne/w8PDA4Cvv/6al19+ma1btwKwd+9e\ncnJyePPNN9HpdFRWVuLi0hjW0aNHWb9+PUajkU6dOlFXV+dwV2uAtLQ0evfuTUJCAsXFxSxevJis\nrKyr1r8WK1euJCgoiNjYWAAsFotaNmrUKPr37w/ARx99RGJiIqtXrwZgyJAhzJ8/HycnJ/bt28eS\nJUvIysqyu7/NZiMuLo758+cTHBxMdnY2ycnJLFmypMXYHnjgAcLCwli5cqVdWXPvdOfOnZw4cYLM\nzEyqq6vVxK5bt26tfj9CCCGEEOLn7YZNwA4KCkKv12Oz2W+ofSmRgMa/9l8uOzubKVOmoNPpAPD2\n9kaj0QDwwQcf8NRTT9GpUycAdDodWq3WYft5eXmMHj0agMDAQPR6PQUFBXb1du3axaxZs7h48SIA\nsbGxZGZm2tUrLS2lpKSEp556Sj3XsWNHALRarZpIAPTu3ZuysjL1d0hICE5OTmpZRUUFDQ0Ndm2U\nlJTg4uJCcHAw0Jig7Nu3D6vV6vAZLxcYGIifn5/D993cO83Ly+Oxxx4DwNPTk2HDhrF79+4W2xNC\nCCGEEOJK7TZnIj09nby8PGpqali6dKl6/vjx4xQVFbFhwwYuXrzIiBEjGDt2LADffvstfn5+REdH\nU1tby4ABA3juuefUD+NLqqqqUBRF/dgHMBgMlJeX28URHh7Ol19+SUpKCgaDAUVRmDhxol2948eP\no9frMRqNFBcX4+3tzcyZM+nZs6dd3U2bNtkNM7q87KGHHlKTi8uVlZU1GbKl0+nw8PCgoqICPz8/\nEhMTGThwICEhIQ7vfTXNvdPy8vImbfr5+XHkyJFW3V8IIYQQQghox6VhZ8yYQWZmJq+++iqpqako\nigKAoiiYzWbWrl3LihUr+Otf/8r+/fvVsq+//ppVq1axdu1a/v3vf6vDo36M2bNn869//YuPPvpI\nHcJ0JUVROHLkCGFhYaSmpjJu3DgWLVqkxn1JRkYGJ0+eZMaMGXb3+Nvf/saePXt4+eWXryvOefPm\ntTqRuBT71d6pEEIIIYQQN0q7r+bUt29famtr+eabb7jnnnswGAyEhYWh0Wjw9vbmoYceorCwkAED\nBmAwGBgyZAiurq64uroyePBgCgsLeeKJJ5rc08vL2Z6ULAAAIABJREFUC2dnZywWi9o7YTab8fX1\ndRiDxWKhpqYGm81GVVUVnp6ednV8fX3x8fFRhyD179+fixcvUlZWhr9/42zk999/n7///e8kJSXZ\nDb/Kyclh48aNJCUlcfvttzuMw2AwYDab1d91dXWcO3fumiZgN6e5d+rr60tZWRm9e/cGmn9Pqnzg\nqyvOBf1wCCGEEEKIdpGVlWU3D7eysvIniqZRm/dMKIpCaWmp+vvIkSOcPXuWO+64A4CwsDAOHDgA\nwIULFygoKFBXggoLC+Mf//gHNpsNRVH44osvHA4zAggNDcVkMgFQVFRERUWFmghcGc/y5cuZNm0a\nkZGRLF26VJ0/cbnAwEA8PDz45ptv1LgB9cM7OzubnJwcVq1ahbu7e5Nrc3NzWb9+PYmJifj4+Fz1\n3QQEBKAoCocPHwbAZDIREhKirmR1vZp7p6GhoXz88cc0NDRQVVVFbm4uw4YNa/6GDwPPXHFIIiGE\nEEII0a4iIiIwmUxNjksLAP1UNLm5ufYzeK+D0Whk//79WCwWvLy8cHd3Z+PGjVy4cIF58+ZRW1uL\nk5MTOp2O559/nj59+gBQX1+P0WikqKgIJycnQkNDmTJlCtC42lFqair79+/H2dmZoKAg5syZg7Oz\nM8XFxWzYsIH4+HigsbchLi4Os9mMq6srUVFRDpOJdevWUVVVxYIFCwBYu3YtDQ0NREdH29U9evQo\nq1evpr6+HldXVyIjIwkKCuL7779n/Pjx+Pv74+7ujs1mQ6vV8qc//QmAESNG0LlzZ7y8vNQlbZOS\nkvD09MRkMnHmzBmmTp0KNC4Nm5SUhNVqRa/Xs2jRIjUBaW7OREZGBiaTicrKStzd3dFqtaSlpeHt\n7d3sO21oaOCNN97gwIEDaDQannzyyasuDVtSUsILL7wAY4HWrLJ7EkiDgwcPNlkCWAghhBBC3FiH\nDh2iX79+pKamEhAQ0O7t37BkQtx6JJkQQgghhLi5/dTJRLtNwBZCCCGEEELcWtp9Arb4L2Shsbfh\nWp1uq0CEEEIIIcTNRJIJ0bLcH45WcNO5odfr2yQcIYQQQghxc5BkQrQoIyODXr16teoavV5P165d\n2ygiIYQQQghxM5A5E0IIIYQQQojrIj0TokWTJk1q9TVuOjeKi4qld0IIIYQQ4hYmyYRo2TDgnlbU\nPw3nN5/n9OnTkkwIIYQQQtzCblgykZycTH5+PmVlZaSnp6s7LkPjjtR/+tOfqKurw8nJid/+9rf8\n8pe/BOCtt97is88+Q6vV4uLiwvPPP8+DDz4ING5al5yczIEDB3BycmLs2LFX3WDt7NmzxMfHc/Lk\nSbRaLVFRUdx/f2s2R7C3c+dOsrOzsdlsdOzYkVdeeUXdUG7ChAl06NABrVaLRqPhmWeeYejQoeq1\nGzZsICcnB1dXV7y9vTEajQ7bKCwsxGg0Ul9fj4+PDzExMXTu3LnF2DIzM9mxYwelpaUsW7aMgQMH\nqmUJCQl88cUXdOzYEYB+/fo17hdB45brK1euxGw2oygKvXr14sUXX0Sr1V69sY6Af4shCSGEEEKI\nn5kblkwMHTqUiIgI5s6da1f2hz/8gUWLFvHLX/6S//3f/2XevHm89957aLVa7r//fp599lm0Wi3/\n+c9/iIqKYtOmTXTo0IGdO3dy4sQJMjMzqa6uZsaMGfTt25du3brZtZGWlkbv3r1JSEiguLiYxYsX\nk5WVhbOz83U9z4kTJ0hNTeWtt96iY8eO/O1vf8NoNKo7bjs5OfHqq6/So0cPu2s//PBDjh07xvr1\n63F2dsZisThsw2azERcXx/z58wkODiY7O5vk5GSWLFnSYnwPPPAAYWFhrFy50mH5hAkTePLJJ+3O\nZ2RkcOedd/LHP/4Rm83GwoUL+eSTTxg9enSLbQohhBBCCHG5GzYBOygoCL1ej83WdEPtyspKKisr\n1Z6IO++8Ew8PDz7//HMA+vfvr/5V/NKH+dmzZwHIy8vjscceA8DT05Nhw4axe/duh+3n5eWpH8SB\ngYHo9XoKCgrs6u3atYtZs2Zx8eJFAGJjY8nMzLSrd+zYMe6++271r/sDBgzg888/p7q6GmhMBK58\n1kuys7OZOXOmmshcuseVSkpKcHFxITg4GIBRo0axb98+rFarw/qXCwwMxM/P76oxXO08QG1tLTab\njfr6es6fP6/2tgghhBBCCNEabb6ak7e3N507d2bPnj1A45Cn7777DrPZbFd327Zt+Pv7YzAYACgv\nL1f/DeDn50d5ebnddVVVVSiK0uSj3WAwOKwbHh5OYGAgKSkpvP/++yiKwsSJE+3q9ezZk6NHj1Ja\nWgo0DnkCKCsrU+vExcUxbdo0EhMTqaysBBo/1C0WC3v37iUyMpLZs2eTm+t4k4aysrImz6fT6fDw\n8KCiogKAxMRE9u3b5/DalmzevJlp06YRGxvL119/rZ5/9tlnKS0t5cknn+TJJ5/krrvuIiQk5Lra\nEEIIIYQQP2/tMgH7tddeIzU1lczMTO666y7uv/9+u+FHBw8eZOPGjSQlJbV5PLNnzyYyMpKamhrS\n09Md1unSpQsvvvgicXFxNDQ0MGDAAG677TY17rVr1+Lj44OiKLz99tvEx8ezYsUKFEVBURSsVisp\nKSmYzWbmzJlDt27dHA6Jas68efOu6/mmT5+uzrvYu3cvCxcuJCMjAzc3N3bv3s1dd92F0Wikrq6O\n2NhYtm3bxqOPPnpdbQkhhBBCiJ+vdkkmevToQUJCgvp76tSp3HXXXervw4cPs2rVKuLj4+nSpYt6\n3tfXl7KyMnr37g2A2WzG19fX7v5eXl7q3IRLvRNXqwtgsVioqanBZrNRVVWFp6enw3pDhgxhyJAh\nAJw5c4asrCw1vktDg5ydnRk3bhzPPvss0Dgcy93dnfDwcKCxN+Xee++lqKjILpkwGAxNemjq6uo4\nd+7cNU3Abs7l1w8aNIi0tDS+++477rnnHkwmk5qk6HQ6hgwZwuHDh5tPJvKBr644F/TDIYQQQggh\n2kVWVhZZWVlNzl0aHfNTaZdN686cOaP++//9v/+HTqdT51AUFBSwYsUKXnvtNbp3797kutDQUD7+\n+GMaGhqoqqoiNzeXYcOGOWwjNDQUk8kENA6lqqioUOciXE5RFJYvX860adOIjIxk6dKl6vyJq8Wt\nKAppaWk88cQTaLVazp8/T01NjVpv165d9OzZU/09fPhwDhw4ADQOwSoqKmqyutUlAQEBKIrC4cOH\nATCZTISEhODq6uownmv1/fffq/8uLCykurpaTYL8/f3V+SoXL17kH//4h917t/Mw8MwVhyQSQggh\nhBDtKiIiApPJ1ORYvXr1TxqTJjc39+ozdVvBaDSyf/9+LBYLXl5euLu7s3HjRgDeffdddeJ0165d\niYqKUv+yP3nyZGpra+ncuTM2mw2NRsOiRYvo3r07DQ0NvPHGGxw4cACNRsOTTz6pLg1bXFzMhg0b\n1NWVLBYLcXFxmM1mXF1diYqKcphMrFu3jqqqKhYsWAA0DldqaGggOjraru7ChQsxm81cvHiRAQMG\nMGvWLFxcXDh16hSvvvoqDQ0N2Gw2/P39+d3vfqfOf6iqqiIhIYFTp06h0Wh4/PHH1cnhJpOJM2fO\nMHXqVKDxYz8pKQmr1Yper2fRokXqu0lMTGTgwIEO5zRkZGRgMpmorKzE3d0drVZLWloa3t7ezJs3\nD4vFgpOTEx06dGDGjBnquzCbzRiNRioqKmhoaODee+8lKirKYQJTUlLSuKTsWKA1q+yeBNIah671\n7du3FRcKIYQQQojWOHToEP369SM1NZWAgIB2b/+GJRPi1iPJhBBCCCHEze2nTibaZZiTEEIIIYQQ\n4tbTLhOwxX85C429DdfqdFsFIoQQQgghbiaSTIiW5f5wtIKbzg29Xt8m4QghhBBCiJuDJBOiRRkZ\nGfTq1atV1+j1erp27dpGEQkhhBBCiJuBzJkQQgghhBBCXBfpmRAtmjRpUquvcdO5UVxULL0TQggh\nhBC3MEkmRMuGAfe0ov5pOL/5PKdPn5ZkQgghhBDiFnbDkonk5GTy8/MpKysjPT29yY7PZ8+eJT4+\nnpMnT6LVaomKiuL++xs3Lnjrrbf47LPP0Gq1uLi48Pzzz/Pggw82ubfFYmHatGncd999LFu2zGH7\nzbVxvWpqalizZg3FxcW4uLgQEhLCjBkzAJg/fz4WiwWNRoO7uztz5sxRd8GOjo6mvLyc2267DYCR\nI0cybtw4h20UFhZiNBqpr6/Hx8eHmJgYOnfu3GJsmZmZ7Nixg9LSUpYtW8bAgQPVsoSEBL744gs6\nduwIQL9+/Rr3i/jBnj17eO+999RNAuPi4tQN9xzqCPi3GJIQQgghhPiZuWHJxNChQ4mIiGDu3Ll2\nZWlpafTu3ZuEhASKi4tZvHgxWVlZODs7c//99/Pss8+i1Wr5z3/+Q1RUFJs2baJDhw7q9atXr+bh\nhx+mqqrqqu0318b1WrlyJUFBQcTGxgKNSc0lS5YswcPDA4C9e/eyYsUK3nrrLQA0Gg2/+93vePjh\nh5u9v81mIy4ujvnz5xMcHEx2djbJycksWbKkxdgeeOABwsLCWLlypcPyCRMm8OSTT9qdP3r0KOvX\nr8doNNKpUyfq6up+1DsSQgghhBA/XzdsAnZQUBB6vR6bzX5D7by8PEaPHg1AYGAger2egoICAPr3\n749WqwWgR48eQGMvwyXbtm3jjjvu4L777mu2/ebauNyuXbuYNWsWFy9eBCA2NpbMzEy7eqWlpZSU\nlPDUU0+p5y79pR9QEwlo7MFwcmr6KhsaGpqNFxp3mHZxcSE4OBiAUaNGsW/fPqxWa4vXBgYG4ufn\n5/B9A1c9/8EHH/DUU0/RqVMnAHQ6nfr+hRBCCCGEaI02nzNRVVWFoihNPsQNBgPl5eV2dbdt24a/\nv7865ObUqVP89a9/Zc2aNeTk5NyQNsLDw/nyyy9JSUnBYDCgKAoTJ060q3f8+HH0ej1Go5Hi4mK8\nvb2ZOXOmOpQJID4+nsOHD6PRaIiPj29yfVpaGuvXr+euu+5i+vTp3HHHHXZtlJWVNRlepNPp8PDw\noKKiAj8/PxITExk4cCAhISFXffar2bx5M9u3b8fPz4/nnntOjfvbb7/Fz8+P6OhoamtrGTBgAM89\n9xwajabVbQghhBBCiJ+3m2YC9sGDB9m4cSNJSUnquVWrVhEVFXXD/3I+e/ZsIiMjqampIT093WEd\nRVE4cuQIM2bM4KWXXuLzzz9n0aJF/OUvf1GHBS1atAiAnTt3kpqayooVKwCIiYnBx8cHgI8++ohF\nixaxYcOGVsc5b96863g6mD59ujrvYu/evSxcuJCMjAzc3NxQFIWvv/6aVatWoSgKsbGxbN26lSee\neOK62hJCCCGEED9fbZ5MeHl54ezsjMViUXsOzGYzvr6+ap3Dhw+zatUq4uPj6dKlCwDnzp3jm2++\nUSdc19bWcuHCBebNm0diYmKr27icxWKhpqYGm81GVVUVnp6ednV8fX3x8fFRhyD179+fixcvUlZW\nhr9/09nII0eOxGg0Ul1djaenp5pIAIwZM4Z169apZZczGAyYzWb1d11dHefOnbumCdjNufz6QYMG\nkZaWxnfffcc999yDwWBgyJAhuLq64urqyuDBgyksLGw+mcgHvrriXNAPhxBCCCGEaBdZWVlkZWU1\nOVdZWfkTRdOoXXomQkNDMZlMTJkyhaKiIioqKtSP9IKCAlasWMFrr71G9+7d1Ws8PDzYsmWL+vuT\nTz4hPz//qqs5NdfG5RRFYfny5UybNg2tVsvSpUtJSUnBxaXpqwgMDMTDw4NvvvmGHj16cOTIEaAx\nyaipqeHChQtN/vrv7e2Np6cniqJQVVWlJjV79uyhU6dODhOWgIAAFEXh8OHD9OnTB5PJREhICK6u\nrq15vXa+//57NaEpLCykurpaTdLCwsLIz8/nV7/6FQ0NDXzxxRctr3r1MPDjFsYSQgghhBA/UkRE\nBBEREU3OHTp0iH79+v1EEd3AZMJoNLJ//34sFgsLFizA3d2djRs3AjBz5kzi4uKYPHkyrq6uxMbG\nqkOFEhMTsVqtrFy5Ul2qdNGiRU0SC0eKi4vZsGGDOlehuTYul56eTteuXRkxYgTQmMy88cYbREdH\n29VduHAhiYmJ1NfX4+rqyrJly3BxceHcuXMsWbKE+vp6NBoNHTt2JC4uDgCr1cqiRYuwWq1oNBpu\nv/12/vjHP6r3NJlMnDlzhqlTp6LRaIiJiSEpKQmr1Yper1eHTl16N1ebM5GRkYHJZKKyspLExETW\nrl1LWloa3t7eJCQkYLFYcHJyokOHDixZsgR3d3cAhg8fztGjR3nuuedwdnYmKCjI4apPQgghhBBC\ntESTm5vreNkf8bNXUlLSuD/FWFrXM3ESSGucB9O3b982ik4IIYQQQlzqmUhNTSUgIKDd279hS8MK\nIYQQQgghfl5umtWcxE3MQmNvw7U63VaBCCGEEEKIm4kkE6JluT8creCmc0Ov17dJOEIIIYQQ4uYg\nyYRoUUZGBr169WrVNXq9nq5du7ZRREIIIYQQ4mYgcyaEEEIIIYQQ10V6JkSLJk2a1Opr3HRuFBcV\nS++EEEIIIcQtTJIJ0bJhwD2tqH8azm8+z+nTpyWZEEIIIYS4hd2wZCI5OZn8/HzKyspIT0/n7rvv\nblK+YcMGcnJycHV1xdvbG6PRqJZt2bKFLVu24OzsjJOTEykpKeou0Hv27OG9995TN7SLi4vDYDDY\ntX/27Fni4+M5efIkWq2WqKiolnd2bsaxY8eIi4tDo9EAUF1dTW1tLVu3bgVg//79vPPOO9hsNhoa\nGnj66af51a9+BUBRURHJyclYrVbq6+t55JFHmDBhgsN2CgsLMRqN1NfX4+PjQ0xMjLqzdnMyMzPZ\nsWMHpaWlLFu2jIEDB6plCQkJfPHFF+ou3P369WvcLwJ499132bJlCz4+PthsNrp3705MTEzzjXUE\n/FsMSQghhBBC/MzcsGRi6NChREREMHfuXLuyDz/8kGPHjrF+/XqcnZ2xWCxq2d69e8nJyeHNN99E\np9NRWVmJi0tjWEePHmX9+vUYjUY6depEXV2dw12tAdLS0ujduzcJCQkUFxezePFisrKyrlq/Jd27\ndyc9PV39vXbtWjWxAIiPj+f111+ne/fumM1mpkyZwpAhQ9DpdCQlJfH8888TEhJCdXU1U6ZM4eGH\nH7b7K73NZiMuLo758+cTHBxMdnY2ycnJLFmypMX4HnjgAcLCwli5cqXD8gkTJlx1Z+vw8HBmz559\nDW9BCCGEEEKIq7thE7CDgoLQ6/XYbPYbamdnZzNz5kz1w/7SX8wvlU2ZMgWdTgeAt7e3+tH+wQcf\n8NRTT9GpUycAdDodWq3WYft5eXmMHj0agMDAQPR6PQUFBXb1du3axaxZs7h48SIAsbGxZGZmNvts\n9fX17Nq1i0cffVQ9p9FoqKmpAeDcuXN4e3ursV1eVldXh6urK56ennb3LSkpwcXFheDgYABGjRrF\nvn37sFqtzcZz6Rn9/Pwcvm/gqueFEEIIIYS4Udp8zkRtbS0Wi4W9e/eyZ88eNBoN48aNY9iwYQAc\nP36coqIiNmzYwMWLFxkxYgRjx44F4Ntvv8XPz4/o6Ghqa2sZMGAAzz33XJMeAoCqqioURWmSpBgM\nBsrLy+3iCQ8P58svvyQlJQWDwYCiKEycOLHZZ/j000/x9/dvMnRr8eLFLF68GDc3N2pqali2bJma\nLC1YsIDf//73vP3221RWVvLSSy81ie2SsrKyJkO2dDodHh4eVFRU4OfnR2JiIgMHDiQkJKSl12xn\n8+bNbN++HT8/P5577jl69uypluXl5fHPf/4Tb29vJk+eTJ8+fVp9fyGEEEIIIdo8mVAUBUVRsFqt\npKSkYDabmTNnDt26daNHjx4oioLZbGbt2rVUVVURHR2Nv78/AwYMQFEUvv76a1atWoWiKMTGxrJ1\n61aeeOKJHxXT7NmziYyMpKampslQpqvZvn17k14JRVHIyMhg+fLlBAUFUVxcTGxsLO+88w5eXl5k\nZWUxc+ZMhg8fzqlTp4iOjiYwMLDVk5HnzZvX6mcDmD59ujrvYu/evSxcuJCMjAzc3NwYPXo0kyZN\nwtnZma+++oo//OEPrFu3Dl9f3+tqSwghhBBC/Hy1+T4Tnp6euLu7Ex4eDoCfnx/33nsvRUVFAPj6\n+hIWFoZGo8Hb25uHHnqIwsJCoLF3YciQIbi6uuLm5sbgwYPVsst5eXnZzcUwm81X/UC2WCzU1NRg\ns9moqqpqNn6z2cyRI0cICwtTz3399ddUVFQQFBQENA458vHx4ejRo1RWVvLZZ58xfPhwAO644w56\n9erFl19+aXdvg8GA2WxWf9fV1XHu3LlrmoDdnMuvHzRoEO7u7nz33XdA4xCzSz0o9913Hz179qS4\nuLj5G+YDf77isH8cIYQQQgjRhrKyshg9enST48UXX/xJY2qXTeuGDx/OgQMHgMYhSUVFReqQofDw\ncLXswoULFBQUqGVhYWH84x//wGazoSgKX3zxRZPhOpcLDQ3FZDIBjaspVVRUqHMRLqcoCsuXL2fa\ntGlERkaydOlSdf6EI9u2bWPQoEF4eHio53x9fTlz5gwnTpwAoLS0lJMnT9K1a1c8PT3R6XT885//\nBKCyspKioiK6d+9ud++AgAAUReHw4cMAmEwmQkJC1JWsrtf333+v/ruwsJDq6mq6dOliV/a///u/\n/Oc//6FHjx7N3/Bh4JkrjqAfFaIQQgghhGiliIgITCZTk2P16tU/aUya3NzcGzJT12g0sn//fiwW\nC15eXri7u7Nx40agMYFISEjg1KlTaDQaHn/8cXWydH19PUajkaKiIpycnAgNDWXKlClA4yTi1NRU\n9u/fj7OzM0FBQcyZMwdnZ2eKi4vZsGED8fHxQGNvQ1xcHGazGVdXV6KiohwmE+vWraOqqooFCxYA\njas0NTQ0EB0dbVfXZrMRERHBokWL7O6Vk5NDZmYmTk5ONDQ0MHHiRLU34tChQ6SmptLQ0MDFixd5\n7LHHGDduHNCYMJw5c4apU6cCjR/7SUlJWK1W9Ho9ixYtwsfHB6DZORMZGRmYTCYqKytxd3dHq9WS\nlpaGt7c38+bNw2Kx4OTkRIcOHZgxY4Ya/4oVKzh69ChOTk44OzszceJEBg8e7PC/aUlJSeOSsmOB\n1qyyexJIg4MHD9K3b99WXCiEEEIIIVrj0KFD9OvXj9TUVAICAtq9/RuWTIhbjyQTQgghhBA3t586\nmWiXYU5CCCGEEEKIW0+br+YkbgEWGnsbrtXptgpECCGEEELcTCSZEC3L/eFoBTedG3q9vk3CEUII\nIYQQNwdJJkSLMjIy6NWrV6uu0ev1rd5XQwghhBBC/HeRORNCiP/P3v2HRVXmj/9/zgyMDgT4Y2AQ\n87fJSosYuinxTiyw9trSymxXVgvLINMU8mdK5q8WAmFaxUigEhW+vKOVlNrKMsF3rr9KV9ZCQNOs\nwAFFBEdAYJjPH8T5ioMCpuTW63Fdc13OuV/n3Pc5/jMv7vO6byGEEEKI6yIzE6JNU6dO7fA5XXVd\nKSwolNkJIYQQQohfMUkmRNvuA+7oQPxZqM2q5ezZs5JMCCGEEEL8it2wZCIhIYE9e/ZQWlpKSkqK\nsos1QExMDN988w1dunRBp9Mxa9YsPD09lfatW7eydetWNBoNarWaxMREZRfoXbt2sWnTJqxWKyqV\niqioKAwGg03/58+fJzo6mpKSErRaLeHh4Qwb1pHNEWx98sknvPfee6jValQqFdOnT2fUqFEAHDhw\ngHfeeYeGhga6du3Kiy++qNxzQUEBCQkJ1NfXU1dXxx//+EcmT57cah/5+fkYjUbq6upwdXVlyZIl\n9OzZs82xpaens337doqLi1m5ciX+/v5KW0xMDF999RXdu3cHYMSIEU37RQD79u1jw4YNnDx5kkce\neYRZs2a1/SC6Ax5thwkhhBBCiN+WG5ZMjB07luDgYObMmWPTNmbMGBYsWIBarWbv3r0sX76cjIwM\nAHbv3s3OnTt588030el0VFZWYmfXNKxjx46xYcMGjEYjPXr0oKamBo1G02r/ycnJeHl5ERMTQ2Fh\nIUuXLiUjI+Oq8W25cOEC69atIy0tjW7dunHkyBGWLVtGVlYWZrOZv/3tbyQkJNC3b1+OHDnC3/72\nN9555x0A4uPjeeaZZ/Dz8+PChQuEhIRwzz332PyV3mq1EhUVxYIFC/Dx8SEzM5OEhASWL1/e5vhG\njhxJYGAgsbGxrbZPnjyZxx9/3OZ4nz59WLRoEbm5udTU1HT8wQghhBBCCPGTG1aA7e3tjV6vx2q1\n3VDbz88PtbqpKy8vL8rLy2lsbAQgMzOTkJAQdDodAC4uLqhUKgDee+89nnjiCXr06AGATqdDq9W2\n2n9ubi4TJkwAwNPTE71eT15enk3cjh07mDFjBg0NDQBERkaSnp5uE9c8vosXLwJgNptxdXUFoLi4\nGBcXFyU58Pb2pqysjOPHjwOgUqkwm80A1NTUYG9vj5OTk00fRUVF2NnZ4ePjA8D48ePZu3cv9fX1\nrd7j5Tw9PXF3d2/1eQNXPd67d28GDhx43UmWEEIIIYQQzTq9ZmLLli2MGjVKSS5OnTpFQUEBqamp\nNDQ0MG7cOCZOnAjAd999h7u7OxEREVRXVzN69GiefvppJdloVlVVhcViUV7rATAYDJSVldn0HxQU\nxJEjR0hMTMRgMGCxWJgyZYpNnIuLCxEREYSFheHs7MylS5eIj48H4Pbbb6eqqor8/Hy8vLz417/+\nRU1NDSaTicGDB7Nw4UJefvll3n77bSorK5k7d26LsTUrLS1t8cqWTqfD0dGR8vJy3N3diYuLw9/f\nHz8/vw4/56ysLD7++GPc3d15+umnGTx4cIevIYQQQgghxLV0ajLx2WefsWvXLtasWaMcs1gsmEwm\n1q5dS1VVFREREXh4eDB69GgsFgvHjx9n9eroyhPfAAAgAElEQVTVWCwWIiMj2bZtG48++ujPGses\nWbOYOXMmZrOZlJSUVmMuXrzIli1bWL9+PX369GHv3r28/PLLbNq0CUdHR5YvX05ycjK1tbV4eXnR\nr18/5a/9GRkZhIWFcf/993P69GkiIiLw9PTscDHy/Pnzr+v+nn32WaXuYvfu3bz00kukpaXRtWvX\n67qeEEIIIYQQrem0ZGLnzp1s3ryZ+Ph4unXrphw3GAwEBgaiUqlwcXFh1KhR5OfnM3r0aAwGA2PG\njMHe3h57e3vuvfde8vPzbZIJZ2dnNBoNFRUVygyAyWTCzc2t1bFUVFRgNpuxWq1UVVW1+grSV199\nhZOTE3369AGaXtWKjY3FZDLRu3dvhg8fzt///ncA6uvrefzxx+nfvz+VlZV88cUXLF26FIBevXox\ndOhQjhw5YpNMGAwGTCaT8r2mpoaLFy+2qwD7Wi4//3/+539ITk7mhx9+4I47OrIk02X2AF9fccz7\np48QQgghhOgUGRkZSt1xs8rKyl9oNE06ZdO6nJwcNmzYQFxcnFJ30CwwMJD9+/cDcOnSJfLy8pRV\nkQIDA/nyyy+xWq1YLBa++uqrq76uExAQQHZ2NtC0mlJ5eblSi3A5i8XCqlWrmD59OjNnzmTFihVK\n/cTlPDw8OH78OOfOnQPgm2++obGxUUlQmo8DbNq0CV9fX3r16oWTkxM6nY5///vfQNN/cEFBAQMG\nDLDpY8iQIVgsFg4fPgxAdnY2fn5+ykpW1+vMmTPKv/Pz87lw4QK9e/e+/gveA/z1io8kEkIIIYQQ\nnSo4OJjs7OwWn9dff/0XHZMqJyen9UrdDjIajezbt4+KigqcnZ1xcHBg8+bNAIwbN46ePXvi7Oys\nLPEaHx+Pk5MTdXV1GI1GCgoKUKvVBAQEEBISAjQVESclJbFv3z40Gg3e3t7Mnj0bjUZDYWEhqamp\nREdHA02zDVFRUZhMJuzt7QkPD281mVi/fj1VVVUsXLgQgLVr19LY2EhERIRNbFZWFtnZ2djb26PR\naAgLC8PX1xeAuLg4jhw5QmNjI15eXsyZMwdHR0cADh06RFJSEo2NjTQ0NPDQQw8xadIkoClhOHfu\nHNOmTQOafuzHx8dTX1+PXq9n8eLFSsJ1rZqJtLQ0srOzqaysxMHBAa1WS3JyMi4uLsyfP5+KigrU\najVdunQhNDRUeRaHDh3itddeo7q6GgBHR0ciIiJa7aOoqKhpSdmJQEdW2S0BkuHgwYPK8xJCCCGE\nEDfeoUOHGDFiBElJSQwZMqTT+79hyYT49ZFkQgghhBDi1vZLJxOd8pqTEEIIIYQQ4ten05eGFf+F\nKmiabWivszdrIEIIIYQQ4lYiyYRoW85Pnw7oquuKXq+/KcMRQgghhBC3BkkmRJvS0tIYOnRoh87R\n6/Ud3ldDCCGEEEL8d5GaCXHDSSIhhBBCCPHbIDMTok1Tp07tUHxXXVcKCwoloRBCCCGE+JWTZEK0\n7T6gvZtnn4XarFrOnj0ryYQQQgghxK/cDUsmEhIS2LNnD6WlpaSkpCi7WAPExMRQVFSEWq3Gzs6O\n0NDQFvsPbN26la1bt6LRaFCr1SQmJiq7QO/atYtNmzYpm91FRUVhMBhs+j9//jzR0dGUlJSg1WoJ\nDw9n2LCObI5gy2w2s2bNGgoLC7Gzs8PPz4/Q0FAA6uvrefPNN/nyyy/RarUMGjSIJUuWAE07cL/x\nxhvU1NSgVqt5/vnnueuuu1rtIz8/H6PRSF1dHa6urixZsoSePXu2Obb09HS2b99OcXExK1euxN/f\n3ybm1KlTzJgxg4cffphZs2Ypx9v7TBXdAY82hySEEEIIIX5jblgyMXbsWIKDg5kzZ45N2wsvvKDs\nDn38+HHmzZvHtm3bANi9ezc7d+7kzTffRKfTUVlZiZ1d07COHTvGhg0bMBqN9OjRg5qaGjQaTav9\nJycn4+XlRUxMDIWFhSxdupSMjIyrxrdHbGws3t7eREZGAk27bF/en0qlUnb5vrztlVdeYfHixdx1\n1138+OOPzJ8/n02bNqHValtc32q1EhUVxYIFC/Dx8SEzM5OEhASWL1/e5thGjhxJYGAgsbGxrbZb\nLBaMRiP33ntvi+MdeaZCCCGEEEJcyw0rwPb29kav12O12m6o3ZxIQNNf+y+XmZlJSEgIOp0OABcX\nF1QqFQDvvfceTzzxBD169ABAp9PZ/CBvlpuby4QJEwDw9PREr9eTl5dnE7djxw5mzJhBQ0MDAJGR\nkaSnp9vEFRcXU1RUxBNPPKEc6969OwC1tbV8/PHHPPvsszZtlZWVVFZWKjMRt99+O46Ojhw4cMCm\nj6KiIuzs7PDx8QFg/Pjx7N27l/r6+lbv8XKenp64u7u3+rwBNm7cyNixY+ndu3eL4x15pkIIIYQQ\nQlxLp9VMpKSkkJubi9lsZsWKFcrxU6dOUVBQQGpqKg0NDYwbN46JEycC8N133+Hu7k5ERATV1dWM\nHj2ap59+Wkk2mlVVVWGxWJQf9AAGg4GysjKbcQQFBXHkyBESExMxGAxYLBamTJliE3fq1Cn0ej1G\no5HCwkJcXFwICwtj8ODBlJSU4OTkRFpaGgcPHqRLly6EhITg6+uLi4sLPXv2ZNeuXQQEBFBQUMAP\nP/yAyWSy6aO0tLTF60U6nQ5HR0fKy8txd3cnLi4Of39//Pz8OvSs8/PzOXr0KKtXr2bjxo0t2tr7\nTIUQQgghhGhLpy0NGxoaSnp6OsuWLSMpKQmLxQI0vY5jMplYu3Ytr732Gh988AH79u1T2o4fP87q\n1atZu3Yt33zzjfJ61M8xa9Ys/vOf//D+++8rrzBdyWKxcPToUQIDA0lKSmLSpEksXrwYi8WCxWKh\ntLSU/v37s379embPns3KlSs5f/48AK+++iofffQRYWFhZGVlMWzYsOt6lWj+/PkdTiQuXbrEmjVr\nmDdv3lXv62Y8UyGEEEII8dvT6as5+fr6Ul1dzYkTJ7jjjjswGAwEBgaiUqlwcXFh1KhR5OfnM3r0\naAwGA2PGjMHe3h57e3vuvfde8vPzefTRR1tc09nZGY1GQ0VFhTI7YTKZcHNza3UMFRUVmM1mrFYr\nVVVVODk52cS4ubnh6uqqvIJ0991309DQQGlpKW5ubqjVaoKCggAYPHgwvXr14sSJE/j6+jJw4EBi\nYmKUa02bNo3+/fvb9GEwGFrMWNTU1HDx4sV2FWBfTUlJCWfOnGHu3LlYrVblPs1mM4sWLWr3M21h\nD/D1Fce8f/oIIYQQQohOkZGRQUZGRotjlZWVv9Bomtz0ZKJ55qH53f2jR49y/vx5evXqBUBgYCD7\n9+9n+PDhXLp0iby8PCZPnqy07dmzhwcffJDGxka++uqrq67QFBAQQHZ2NiEhIRQUFFBeXq4kAleO\nZ9WqVUyfPh2tVsuKFStITExUir6beXp64ujoyIkTJxg4cCBHjx4FmpIMOzs7fH19OXDgAKNGjeL0\n6dOYTCb69esHwLlz55SahA8//BCdTtfqak5DhgzBYrFw+PBhhg8fTnZ2Nn5+fspKVtdjwIABZGVl\nKd83btyI2WxWVnPqyDNV3AP8vIWxhBBCCCHEzxQcHExwcHCLY4cOHWLEiBG/0IhuYDJhNBrZt28f\nFRUVLFy4EAcHBzZv3kxDQwOvvfYa1dXVqNVqdDodK1as4LbbbgNg0qRJGI1Gpk2bhlqtJiAggICA\nAADuv/9+jh07xtNPP41Go8Hb25vHH38cgMLCQlJTU4mOjgYgLCyMqKgonnzySezt7YmMjGz11aKU\nlBT69u3LuHHjAMjLy2PdunVERETYxL700kvExcVRV1eHvb09K1euVJKOF198kdWrV5OcnIxarWbe\nvHnKjMIHH3zA559/DkDfvn1ZuXKlcs3s7GzOnTvHtGnTUKlULFmyhPj4eOrr69Hr9SxevFiJvVbN\nRFpaGtnZ2VRWVhIXF8fatWtJTk7GxcXlmv9P13qmQgghhBBCdIQqJyen9eWAxG9eUVERzz33HEyk\n/TMTJUAyHDx4sMVeIkIIIYQQ4sZrnplISkpiyJAhnd5/pxVgCyGEEEIIIX5dOr0AW/wXqqBpxqE9\nzt7MgQghhBBCiFuJJBOibTk/fdqpq64rer3+pg1HCCGEEELcGiSZEG1KS0tj6NCh7Y7X6/X07dv3\nJo5ICCGEEELcCqRmQgghhBBCCHFdZGZCtGnq1Kkdiu+q60phQaHMTgghhBBC/MpJMiHadh9wRztj\nz0JtVi1nz56VZEIIIYQQ4lfuhiUTCQkJ7Nmzh9LSUlJSUhg0aJDSFhMTQ1FREWq1Gjs7O0JDQ1vs\nQbB161a2bt2KRqNBrVaTmJio7AK9a9cuNm3ahNVqRaVSERUVhcFgsOn//PnzREdHU1JSglarJTw8\nvO2dndtgNptZs2YNhYWF2NnZ4efnR2hoKHV1daxatYpTp07RpUsXunXrRkREhLLLN0Bqaio7d+7E\n3t4eFxcXjEZjq33k5+djNBqpq6vD1dWVJUuWKJvfXUt6ejrbt2+nuLiYlStX4u/vbxNz6tQpZsyY\nwcMPP6zsgL1x40a2bt2Kq6srVquVAQMGsGTJkmt31h3waHNIQgghhBDiN+aGJRNjx44lODiYOXPm\n2LS98MILODo6AnD8+HHmzZvHtm3bANi9ezc7d+7kzTffRKfTUVlZqewyfezYMTZs2IDRaKRHjx7U\n1NS0uqs1QHJyMl5eXsTExFBYWMjSpUvJyMi4anx7xMbG4u3tTWRkJAAVFRVK2/jx47n77rsBeP/9\n94mLi+P1118H4B//+AcnT55kw4YNaDSaFuddzmq1EhUVxYIFC/Dx8SEzM5OEhASWL1/e5thGjhxJ\nYGAgsbGxrbZbLBaMRiP33nuvTVtQUJCSXAghhBBCCHG9blgBtre3N3q9HqvVdkPt5kQCmv7af7nM\nzExCQkLQ6XQAuLi4oFKpAHjvvfd44okn6NGjBwA6nQ6tVttq/7m5uUyYMAEAT09P9Ho9eXl5NnE7\nduxgxowZNDQ0ABAZGUl6erpNXHFxMUVFRTzxxBPKse7duwOg1WqVRALAy8uL0tLSFvcUFhamJDLN\n512pqKgIOzs7fHx8gKYEZe/evdTX17cafzlPT0/c3d1bfd7QNAMxduzYFrMlQgghhBBC3EidVjOR\nkpJCbm4uZrOZFStWKMdPnTpFQUEBqampNDQ0MG7cOCZOnAjAd999h7u7OxEREVRXVzN69Giefvpp\nJdloVlVVhcViafGj3WAwUFZWZjOOoKAgjhw5QmJiIgaDAYvFwpQpU2ziTp06hV6vx2g0UlhYiIuL\nC2FhYQwePNgmdsuWLcprRtXV1VRUVLB792527dqFSqVi0qRJ3HfffTbnlZaWtnhlS6fT4ejoSHl5\nOe7u7sTFxeHv74+fn19bj7eF/Px8jh49yurVq9m4caNNe25uLv/+979xcXHhySefZPjw4R26vhBC\nCCGEENCJyURoaCihoaEcOnSIpKQk1q1bh0ajwWKxYDKZWLt2LVVVVURERODh4cHo0aOxWCwcP36c\n1atXY7FYiIyMZNu2bTz66KM/ayyzZs1i5syZmM1mUlJSWo2xWCwcPXqU0NBQ5s6dy4EDB1i8eDH/\n+7//2+LVqbS0NEpKSpg/f75ynsViob6+nsTEREwmE7Nnz6Zfv34MHDiwQ+NsvmZHXLp0iTVr1rRI\n2C43YcIEpk6dikaj4euvv+aVV15h/fr1uLm5dbgvIYQQQgjx29bpqzn5+vpSXV3NiRMnuOOOOzAY\nDAQGBqJSqXBxcWHUqFHk5+czevRoDAYDY8aMwd7eHnt7e+69917y8/NtkglnZ2elNqF5dsJkMl31\nB3JFRQVmsxmr1UpVVRVOTk42MW5ubri6uiqvIN199900NDRQWlqKh0dTNfK7777Lv/71L+Lj45XX\nr5ycnHBwcCAoKAgAd3d37rzzTgoKCmySCYPBgMlkUr7X1NRw8eLFdhVgX01JSQlnzpxh7ty5WK1W\n5T7NZjOLFi1qMXvz+9//nsGDB1NYWHjtZGIP8PUVx7x/+gghhBBCiE6RkZFBRkZGi2OVlZW/0Gia\n3PRkonnmofnd/aNHj3L+/Hl69eoFQGBgIPv372f48OFcunSJvLw8Jk+erLTt2bOHBx98kMbGRr76\n6qurrtAUEBBAdnY2ISEhFBQUUF5eriQCV45n1apVTJ8+Ha1Wy4oVK0hMTFSKvpt5enri6OjIiRMn\nGDhwIEePHgVQfnRnZmayc+dO4uPjcXBwaHHu/fffz/79+3nkkUeoqqqioKCA4OBgm7EMGTIEi8XC\n4cOHGT58ONnZ2fj5+SkrWV2PAQMGkJWVpXzfuHEjZrNZKbg+c+YMrq6uAPz44498++23bc+Y3AP8\nvIWxhBBCCCHEzxQcHGzzm/LQoUOMGDHiFxoRqHJyclqv4O0go9HIvn37qKiowNnZGQcHBzZv3syl\nS5eYP38+1dXVqNVqdDodzzzzjPKefl1dHUajkYKCAtRqNQEBAYSEhABNqx0lJSWxb98+NBoN3t7e\nzJ49G41GQ2FhIampqURHRwNNsw1RUVGYTCbs7e0JDw9vNZlYv349VVVVLFy4EIC1a9fS2NhIRESE\nTeyxY8d4/fXXqaurw97enpkzZ+Lt7c2ZM2f4y1/+goeHBw4ODlitVrRaLW+88QbQVMMRExPD6dOn\nUalUPPLII0pxeHZ2NufOnWPatGlAU31DfHw89fX16PV6Fi9erPzYv1bNRFpaGtnZ2VRWVuLg4IBW\nqyU5ORkXF5cWcVcmE6+99hrHjh1DrVaj0WiYMmVKqys+QVOB+HPPPQcTaX8yUQIkw8GDB1ss/yuE\nEEIIIW685mQiKSmJIUOGdHr/NyyZEL8+kkwIIYQQQtzafulk4oYtDSuEEEIIIYT4ben0AmzxX6iC\nphmH9jh7MwcihBBCCCFuJZJMiLbl/PRpp666ruj1+ps2HCGEEEIIcWuQZEK0KS0tjaFDh7Y7Xq/X\n07dv35s4IiGEEEIIcSuQmgkhhBBCCCHEdZGZCdGmqVOndii+q64rhQWFMjshhBBCCPErJ8mEaNt9\nwB3tjD0LtVm1nD17VpIJIYQQQohfuRuWTCQkJLBnzx5KS0tJSUlh0KBBSltBQQFvvPEGNTU1qNVq\nnn/+ee666y4A3nrrLb744gu0Wi12dnY888wz/OEPfwCaNq1LSEhg//79qNVqJk6cyGOPPdZq/+fP\nnyc6OpqSkhK0Wi3h4eFX3S27vT799FMyMzOxWq10796dRYsW4erqSlVVFfPmzUOlUgFQW1vL6dOn\nef/997ntttsASE1NZefOndjb2+Pi4oLRaGy1j/z8fIxGI3V1dbi6urJkyRJ69uzZ5tjS09PZvn07\nxcXFrFy5En9/f5uYU6dOMWPGDB5++GFl07qsrCw+/PBDVCoVKpWKv/zlL4wbN+7anXUHPNockhBC\nCCGE+I25YcnE2LFjCQ4OZs6cOTZtr7zyCosXL+auu+7ixx9/ZP78+WzatAmtVsuwYcN46qmn0Gq1\nfPvtt4SHh7Nlyxa6dOnCp59+yvfff096ejoXLlwgNDQUX19f+vXrZ9NHcnIyXl5exMTEUFhYyNKl\nS8nIyECj0VzX/Xz//fckJSXx1ltv0b17dz777DOMRiPR0dE4OzuTkpKixGZmZpKXl6ckEv/4xz84\nefIkGzZsQKPRUFFR0WofVquVqKgoFixYgI+PD5mZmSQkJLB8+fI2xzdy5EgCAwOJjY1ttd1isWA0\nGm12tx4wYADr1q3DwcGBM2fOEBoayu9//3t69erVzicjhBBCCCFEkxtWgO3t7Y1er8dqbbmhdmVl\nJZWVlcpMxO23346joyMHDhwA4O6770ar1QIwcOBAoGmWASA3N5eHHnoIACcnJ+677z4+//zzVvvP\nzc1lwoQJAHh6eqLX68nLy7OJ27FjBzNmzKChoQGAyMhI0tPTbeJOnjzJoEGD6N69OwCjR4/mwIED\nXLhwwSb2o48+4k9/+pPyPTMzk7CwMCWRab7GlYqKirCzs8PHxweA8ePHs3fvXurr61uNv5ynpyfu\n7u42z7vZxo0bGTt2LL17925x/K677sLBwQEAV1dXevToQVlZWZv9CSGEEEIIcaWbvpqTi4sLPXv2\nZNeuXUDTK08//PADJpPJJvajjz7Cw8MDg8EAQFlZmfJvAHd391Z/+FZVVWGxWFr8aDcYDK3GBgUF\n4enpSWJiIu+++y4Wi4UpU6bYxA0ePJhjx45RXFwMNL3yBFBaWtoi7uuvv8ZsNuPn5wdAdXU1FRUV\n7N69m5kzZzJr1ixyclrfpKG0tLTF/el0OhwdHSkvLwcgLi6OvXv3tnruteTn53P06NGrvhLW7ODB\ng5jNZn73u991uA8hhBBCCCE6pQD71VdfJSkpifT0dPr378+wYcNsXj86ePAgmzdvJj4+/qaPZ9as\nWcycOROz2dzidaXL9e7dmxdffJGoqCgaGxsZPXo0t912m824P/74Yx544AHU6qa8zGKxYLFYqK+v\nJzExEZPJxOzZs+nXr58y89Je8+fP7/C9Xbp0iTVr1rBixYprxp04cYLY2FiWLVtGly5dOtyPEEII\nIYQQnZJMDBw4kJiYGOX7tGnT6N+/v/L98OHDrF69mujo6Bav5bi5uVFaWoqXlxcAJpMJNzc3m+s7\nOzsrtQnNsxNXiwWoqKjAbDZjtVqpqqrCycmp1bgxY8YwZswYAM6dO0dGRkaL8dXU1JCbm8v69euV\nY05OTjg4OBAUFAQ0zabceeedFBQU2CQTBoOhxQxNTU0NFy9ebFcB9tWUlJRw5swZ5s6di9VqVe7T\nbDazaNEiAL777jsiIyNZtGgRd955Z9sX3QN8fcUx758+QgghhBCiU2RkZJCRkdHiWGVl5S80miad\nkkycO3eOHj16APDhhx+i0+mUGoq8vDxee+01Xn31VQYMGNDivICAAP75z38SEBCA2WwmJyeH6Ojo\nVvsICAggOzubkJAQCgoKKC8vV2oRLmexWFi1ahXTp09Hq9WyYsUKEhMTsbOzfRTN47ZYLCQnJ/Po\no48q9R0AO3fuZPDgwfTp06fFeffffz/79+/nkUceoaqqioKCAoKDg22uP2TIECwWC4cPH2b48OFk\nZ2fj5+eHvb19G0/06gYMGEBWVpbyfePGjZjNZmU1p1OnTrF48WLmzZuHr69v+y56D/DzFsYSQggh\nhBA/U3BwsM1vykOHDjFixIhfaEQ3MJkwGo3s27ePiooKFi5ciIODA5s3bwbggw8+UAqn+/bty8qV\nK5Xz4uLiqK+vJzY2FqvVikqlYvHixQwYMIAHHniAoqIinnzySWUZ0+aEo7CwkNTUVCW5CAsLIyoq\niieffBJ7e3siIyNbXckpJSWFvn37Ksuh5uXlsW7dOiIiImxiY2NjMZlMNDQ0MHr0aJ599tkW7Z98\n8gkPP/ywzXnPPvssMTExbNu2DZVKxV//+lc8PT0ByM7O5ty5c0ybNg2VSsWSJUuIj4+nvr4evV7P\n4sWLWzwbf39/pR7jcmlpaWRnZ1NZWUlcXBxr164lOTkZFxeXa/wvwbp166iuriY5OZmkpCRUKhVh\nYWGMHDnymucJIYQQQghxJVVOTk7rywGJ37yioiKee+45mEj7ZyZKgOSmGph2z3wIIYQQQojr0jwz\nkZSUxJAhQzq9/5u+mpMQQgghhBDi16lTaibEf7kKmmYc2uPszRyIEEIIIYS4lUgyIdqW89Onnbrq\nuqLX62/acIQQQgghxK1BkgnRprS0NIYOHdrueL1eT9++fW/iiIQQQgghxK1AaiaEEEIIIYQQ10Vm\nJkSbpk6d2qH4rrquFBYUyuyEEEIIIcSvnCQTom33AXe0M/Ys1GbVcvbsWUkmhBBCCCF+5W5YMpGQ\nkMCePXsoLS0lJSWFQYMGKW0FBQW88cYb1NTUoFaref7555UdsC9dukRsbCyFhYWo1WqmT59OQEAA\n0LQ9ePPGcRaLhaFDh/Liiy+22IW62fnz54mOjqakpAStVkt4eDjDhv28bZs//fRTMjMzsVqtdO/e\nnUWLFuHq6gpAcXEx0dHRVFVV4ejoyKJFi+jfv3+b93ul/Px8jEYjdXV1uLq6smTJEnr27Nnm2NLT\n09m+fTvFxcWsXLkSf39/m5hTp04xY8YMHn74YWUH7KysLD788ENUKpWyEWDzBn5X1R3waHNIQggh\nhBDiN+aG1UyMHTuWhIQE3N3dbdpeeeUVnnnmGd566y1eeeUVYmJiqKurA+Ddd99Fq9WSlpZGbGws\na9as4cKFC0BT4e/tt9/O22+/zYYNGzh37hyffPJJq/0nJyfj5eXF5s2bWbhwIa+++ioWi+W67+f7\n778nKSmJ1atX8/bbb/Pggw9iNBqV9vj4eCZMmMCmTZuYPHkyMTEx7brfy1mtVqKiopg9ezabNm1i\n1KhRJCQktGt8I0eOJDY2Fh8fn1bbLRYLRqORe++9t8XxAQMGsG7dOt5++22io6N54403OH36dLv6\nFEIIIYQQ4nI3LJnw9vZGr9djtbbcULuyspLKykrlL/O33347jo6OHDhwAICcnBwmTJgAgLu7Oz4+\nPnzxxRfK+dXV1VitVurq6qitrVVmBq6Um5urXMfT0xO9Xk9eXp5N3I4dO5gxYwYNDQ0AREZGkp6e\nbhN38uRJBg0aRPfu3QEYPXo0Bw4c4MKFC5w/f56ioiKCgoIACAgIoKysjJKSkjbv93JFRUXY2dkp\nCcH48ePZu3cv9fX1rd7j5Tw9PXF3d7d53s02btzI2LFj6d27d4vjd911Fw4ODgC4urrSo0cPysrK\n2uxPCCGEEEKIK9301ZxcXFzo2bMnu3btAppeAfrhhx8wmUwAlJWVYTAYlHh3d3flx+1TTz1FcXEx\njz/+OI8//jj9+/fHz8/Ppo+qqiosFovywx/AYDC0+iM5KCgIT09PEhMTeffdd7FYLEyZMsUmbvDg\nwRw7dozi4mKg6ZUngNLSUsrKyujZs4IpuN8AACAASURBVCdq9f//+Nzc3CgrK2vzfi9XWlra4t51\nOh2Ojo6Ul5cDEBcXx969e1t9rteSn5/P0aNHeeyxx64Zd/DgQcxmM7/73e863IcQQgghhBCdUoD9\n6quvkpSURHp6Ov3792fYsGFoNJo2z/v888/p378/RqORmpoaIiMj+eijj/jTn/70s8Yza9YsZs6c\nidlsJiUlpdWY3r178+KLLxIVFUVjYyOjR4/mtttuQ6PR0NjYeM3rX+/9Xmn+/PkdPufSpUusWbOG\nFStWXDPuxIkTxMbGsmzZMrp06dLhfoQQQgghhOiUZGLgwIEtagqmTZvGgAEDgKYZhNLSUnr06AGA\nyWTiD3/4AwDZ2dnKD2qdTseYMWM4fPiwTTLh7OyMRqOhoqJCmZ0wmUy4ubm1Op6KigrMZjNWq5Wq\nqiqcnJxajRszZgxjxowB4Ny5c2RkZNC7d2+qq6spLy+nsbFRmZ0oKytT+mvtfpuLsy9nMBhazFjU\n1NRw8eLFdhVgX01JSQlnzpxh7ty5WK1W5T7NZjOLFi0C4LvvviMyMpJFixZx5513tn3RPcDXVxzz\n/ukjhBBCCCE6RUZGBhkZGS2OVVZW/kKjadIpycS5c+eUZOHDDz9Ep9MxfPhwoKneIDs7m6FDh3L6\n9Gny8vKYO3cuAB4eHhw4cAAvLy8aGhr48ssv+f3vf99qH83XCQkJoaCggPLy8laLky0WC6tWrWL6\n9OlotVpWrFhBYmIidna2j6J53BaLheTkZB599FG0Wi1arZYhQ4bw6aef8sc//pFdu3bh5uaGh4fH\nVe+3tdWchgwZgsVi4fDhwwwfPpzs7Gz8/Pywt7e/jqfcZMCAAWRlZSnfN27ciNlsVlZzOnXqFIsX\nL2bevHn4+vq276L3AD9vYSwhhBBCCPEzBQcHExwc3OLYoUOHGDFixC80IlDl5OS0XsHbQUajkX37\n9lFRUYGzszMODg5s3rwZaPpB+/nnnwPQt29fwsPDlULq2tpaZWlYjUbTYmlYk8mE0WhUZgHuvPNO\nwsPDsbe3p7CwkNTUVKKjo4Gm2YaoqChMJhP29vaEh4e3mkysX7+eqqoqFi5cCMDatWtpbGwkIiLC\nJvall17CZDLR0NDA6NGjmTFjhpJ0/PDDD8TExChLwy5cuFCZbbnW/WZnZ3Pu3DmmTZsGNNU3xMfH\nU19fj16vZ/HixUpsXFwc/v7+rdaJpKWlkZ2dTWVlJQ4ODmi1WpKTk3FxcWkRd2UysWDBAoqKijAY\nDFitVlQqFWFhYYwcOdKmj6KiIp577jmYSPuTiRIguakeo93JihBCCCGEuC7NyURSUhJDhgzp9P5v\nWDIhfn0kmRBCCCGEuLX90snETV/NSQghhBBCCPHr1Ck1E+K/XAVNMw7tcfZmDkQIIYQQQtxKJJkQ\nbcv56dNOXXVd0ev1N204QgghhBDi1iDJhGhTWloaQ4cObXe8Xq+nb9++N3FEQgghhBDiViA1E0II\nIYQQQojrIjMTok1Tp07tUHxXXVcKCwpldkIIIYQQ4ldOkgnRtvuAO9oZexZqs2o5e/asJBNCCCGE\nEL9yNyyZSEhIYM+ePZSWlpKSksKgQYOUtpiYGL755hu6dOmCTqdj1qxZeHp6AlBcXEx8fDwXLlyg\nvr5e2RwOwGq1kpCQwP79+1Gr1UycOJHHHnus1f7Pnz9PdHQ0JSUlaLVawsPDGTbs523b/Mknn/De\ne++hVqtRqVRMnz6dUaNGAVBfX8+bb77Jl19+iVarZdCgQSxZsgSAiIgIysrKuO222wB44IEHmDRp\nUqt95OfnYzQaqaurw9XVlSVLltCzZ882x5aens727dspLi5m5cqV+Pv728ScOnWKGTNm8PDDDyub\n1u3bt48NGzZw8uRJHnnkEeX4NXUHPNoOE0IIIYQQvy03LJkYO3YswcHBzJkzx6ZtzJgxLFiwALVa\nzd69e1m+fDkZGRlA047U9957L4899hj19fXMmDEDX19f7r77bj799FO+//570tPTuXDhAqGhofj6\n+tKvXz+bPpKTk/Hy8iImJobCwkKWLl1KRkYGGo3muu7nwoULrFu3jrS0NLp168aRI0dYtmwZWVlZ\nSn8qlUrZ5buiokI5V6VS8cILL3DPPfdcsw+r1UpUVBQLFizAx8eHzMxMEhISWL58eZvjGzlyJIGB\ngcTGxrbabrFYMBqN3HvvvS2O9+nTh0WLFpGbm0tNTU2b/QghhBBCCHE1N6wA29vbG71ej9Vqu6G2\nn58fanVTV15eXpSXl9PY2Ag0/fC+ePEiALW1tVgsFuUv87m5uTz00EMAODk5cd999/H555+32n9u\nbi4TJkwAwNPTE71eT15enk3cjh07mDFjBg0NDQBERkaSnp5uE9c8vuaxmc1mXF1dlXF+/PHHPPvs\ns0p89+7dWz3/WoqKirCzs8PHxweA8ePHs3fvXurr69s819PTE3d391afN8DGjRsZO3YsvXv3bnG8\nd+/eDBw48LqTLCGEEEIIIZp1es3Eli1bGDVqlJJczJo1iyVLlrBt2zbMZjNPPvmk8opUWVkZBoNB\nOdfd3Z2jR4/aXLOqqgqLxdLiB73BYKCsrMwmNigoiCNHjpCYmIjBYMBisTBlyhSbOBcXFyIiIggL\nC8PZ2ZlLly4RHx8PQElJCU5OTqSlpXHw4EG6dOlCSEgIvr6+yvnJycls2LCB/v378+yzz9KrVy+b\nPkpLS1vcn06nw9HRkfLyctzd3YmLi8Pf3x8/P782n+vl8vPzOXr0KKtXr2bjxo0dOlcIIYQQQoj2\n6tRk4rPPPmPXrl2sWbNGObZt2zaCgoIIDg6msrKSiIgIPD09GTFixE0bx6xZs5g5cyZms5mUlJRW\nYy5evMiWLVtYv349ffr0Ye/evbz88sts2rQJi8VCaWkp/fv3JzQ0lOPHjzN//nxSU1Pp1q0bS5Ys\nUWYx3n//fRYvXkxqamqHxzl//vwOn3Pp0iXWrFnDihUrOnyuEEIIIYQQHdFpycTOnTvZvHkz8fHx\ndOvWTTm+detW0tLSgKbZgFGjRpGXl8eIESNwc3OjtLQULy8vAEwmE25ubjbXdnZ2RqPRUFFRocxO\nXC0WmuobzGYzVquVqqoqnJycbGK++uornJyc6NOnD9D0qlZsbKxyXbVaTVBQEACDBw+mV69enDhx\nAl9fXyWRAHjsscdYv349Fy5csOnHYDBgMpmU7zU1NVy8eLFdBdhXU1JSwpkzZ5g7dy5Wq1W5T7PZ\nzKJFi67vonuAr6845v3TRwghhBBCdIqMjAyl7rhZZWXlLzSaJp2STOTk5LBhwwbi4+Nb/NAG8PDw\n4MCBA/zxj3+kpqaGw4cP8+c//xmAgIAA/vnPfxIQEIDZbCYnJ4fo6OhW+wgICCA7O5uQkBAKCgoo\nLy9XahEuZ7FYWLVqFdOnT0er1bJixQoSExOxs2v5KDw8PDh+/Djnzp2jR48efPPNNzQ2NuLm5oa9\nvT2+vr4cOHCAUaNGcfr0aUwmE/369cNisVBVVaUkNbt27aJHjx6tJixDhgzBYrFw+PBhhg8fTnZ2\nNn5+ftjb21/XcwYYMGCAUiQOTbUTZrO5fas2Xc09wM9bGEsIIYQQQvxMwcHBBAcHtzh26NChm/pG\nT1tUOTk5rVfwdpDRaGTfvn1UVFTg7OyMg4ODstLRuHHj6NmzJ87OzlitVlQqFfHx8Tg5OXH8+HHW\nrFlDbW0t9fX1+Pv7ExoaCjQVMa9bt479+/ejUql4/PHHlaVhCwsLSU1NVZKLiooKoqKiMJlM2Nvb\nEx4e3moysX79eqqqqli4cCEAa9eupbGxkYiICJvYrKwssrOzsbe3R6PREBYWptRFnD59mtWrV1NZ\nWYlarSYkJIT/+Z//oba2loiICOrr61GpVHTr1o2ZM2cycOBAALKzszl37hzTpk0Dmuob4uPjqa+v\nR6/Xs3jxYiXhulbNRFpaGtnZ2VRWVuLg4IBWqyU5ORkXF5cWcVcmE4cOHeK1116juroaAEdHRyIi\nIlrto6ioiOeeew4m0v5kogRIhoMHD7aoIRFCCCGEEDdeczKRlJTEkCFDOr3/G5ZMiF8fSSaEEEII\nIW5tv3QyccOWhhVCCCGEEEL8tnT60rDiv1AFTTMO7XH2Zg5ECCGEEELcSiSZEG3L+enTTl11XdHr\n9TdtOEIIIYQQ4tYgyYRoU1paGkOHDm13vF6vp2/fvjdxREIIIYQQ4lYgNRPihpJEQgghhBDit0Nm\nJkSbpk6d2u7YrrquFBYUSkIhhBBCCPEbIMmEaNt9wB3tiDsLtVm1nD17VpIJIYQQQojfgBuWTCQk\nJLBnzx5KS0tJSUlh0KBBSltMTAzffPMNXbp0QafTMWvWLDw9PZX2rVu3snXrVjQaDWq1msTEROzt\n7dm6dSsffPABarWaxsZGHnroISZOnNhq/+fPnyc6OpqSkhK0Wi3h4eEMG/bztm3+5JNPeO+991Cr\n1ahUKqZPn86oUaMAmDx5Ml26dEGr1aJSqfjrX//K2LFjlfstKipCrVZjZ2dHaGjoVfdcyM/Px2g0\nUldXh6urK0uWLKFnz55tji09PZ3t27dTXFzMypUr8ff3V9refvtt9uzZo4x78uTJ3H///UDTluux\nsbGYTCYsFgtDhw7lxRdfRKvVXr2z7oBH+56ZEEIIIYT47bhhycTYsWMJDg5mzpw5Nm1jxoxhwYIF\nqNVq9u7dy/Lly8nIyABg9+7d7Ny5kzfffBOdTkdlZSV2dk3DeuCBB3j00UcBqKmp4emnn2bYsGEM\nHjzYpo/k5GS8vLyIiYmhsLCQpUuXkpGRgUajua77uXDhAuvWrSMtLY1u3bpx5MgRli1bRlZWFgBq\ntZply5YpO1tf7oUXXsDR0RGA48ePM2/ePLZt22YTZ7VaiYqKYsGCBfj4+JCZmUlCQgLLly9vc3wj\nR44kMDCQ2NhYm7bJkyczffp0AM6ePcu0adMYOXIkzs7OpKWlcfvtt/O3v/0Nq9XKSy+9xCeffMKE\nCRM68niEEEIIIYS4cQXY3t7e6PV6rFbbDbX9/PxQq5u68vLyory8nMbGRgAyMzMJCQlBp9MB4OLi\ngkqlAsDBwUG5RnV1NRaL5ar95+bmKj+IPT090ev15OXl2cTt2LGDGTNm0NDQAEBkZCTp6ek2cc3j\nu3jxIgBmsxlXV1el3Wq1tnqvgJJINJ93NUVFRdjZ2eHj4wPA+PHj2bt3L/X19Vc9p5mnpyfu7u6t\njuHy/qurq5XxXn7MarVSV1dHbW1ti/sSQgghhBCivTq9ZmLLli2MGjVKSS5OnTpFQUEBqampNDQ0\nMG7cuBavMu3atYvU1FRKSkp49tlnW52VqKqqwmKx0L17d+WYwWCgrKzMJjYoKIgjR46QmJiIwWDA\nYrEwZcoUmzgXFxciIiIICwvD2dmZS5cuER8f3yImKioKgKFDhxIaGoqLi4vSlpKSQm5uLmazmRUr\nVrT6LEpLSzEYDMp3nU6Ho6Mj5eXluLu7ExcXh7+/P35+fq2efy1ZWVls3bqVs2fPMn/+fGVsTz31\nFMuWLePxxx+nrq6OwMDA67q+EEIIIYQQnbo07GeffcauXbuYN2+ecsxisWAymVi7di2vvfYaH3zw\nAfv27VPaAwIC2LBhA5s2beKzzz7jxx9//NnjmDVrFv/5z394//33iYyMbDXm4sWLbNmyhfXr15OR\nkcGCBQt4+eWXldmRtWvX8vbbb5OcnIyzszPR0dEtzg8NDSU9PZ1ly5aRlJR0zVmVq5k/f/51/9Cf\nOHEimzZtYt26daSnp3PhwgUAPv/8c/r3709WVhbvvfceP/zwAx999NF19SGEEEIIIX7bOi2Z2Llz\nJ5s3byYuLo5u3bopxw0GA4GBgahUKlxcXBg1ahT5+fk25xsMBoYOHcrevXtt2pydndFoNFRUVCjH\nTCYTbm5urY6loqICs9mM1Wqlqqqq1ZivvvoKJycn+vTpAzS9qlVdXY3JZAJQXg3SaDRMmjSJr7/+\nutXr+Pr6Ul1dzYkTJ1q9p+brQVNdyMWLF9tVgN1eAwcORK/Xc/jwYQCys7MJCgoCmmZCxowZo7Rd\n1R7g/7vic+SGDVEIIYQQQrRDRkYGEyZMaPF58cUXf9ExdUoykZOTw4YNG4iLi7N5Pz8wMJD9+/cD\ncOnSJfLy8pSVoE6dOqXEnT9/nn//+9+tFjxD0wxGdnY2AAUFBZSXlyu1CJezWCysWrWK6dOnM3Pm\nTFasWKHUT1zOw8OD48ePc+7cOQC++eYbGhsbcXNzo7a2tkUtxI4dO5TXrywWC8XFxUrb0aNHOX/+\nPL169bLpY8iQIVgslhY/9P38/LC3t2/1Htvr8udWXFzM8ePH6d+/v3JfBw4cAKChoYEvv/ySAQMG\nXPuC9wB/veLj/bOGKIQQQgghOig4OJjs7OwWn9dff/0XHZMqJyen9SriDjIajezbt4+KigqcnZ1x\ncHBg8+bNAIwbN46ePXvi7OyM1WpFpVIRHx+Pk5MTdXV1GI1GCgoKUKvVBAQEEBISolzzP//5D1qt\nFqvVyvjx45Ui68LCQlJTU5XXiyoqKoiKisJkMmFvb094eHirycT69eupqqpi4cKFQNPrSo2NjURE\nRNjEZmVlkZ2djb29PRqNhrCwMHx9fTl9+jTLli2jsbERq9WKh4cHL7zwAgaDgUuXLjF//nyqq6tR\nq9XodDqeeeYZhg8fDjQlDOfOnWPatGlA09Kw8fHx1NfXo9frWbx4sZJwXatmIi0tjezsbCorK3Fw\ncECr1ZKcnIyLiwtLlizBZDKh0Wiws7MjODiYMWPGAE0zNkajUSmCv/POOwkPD281gSkqKuK5556D\niUB7VtktAZLh4MGDV10KVwghhBBC3DiHDh1ixIgRJCUlMWTIkE7v/4YlE+LXR5IJIYQQQohb2y+d\nTHRqAbYQQgghhBDi16PTl4YV/4UqaJp1aMvZmz0QIYQQQghxK5FkQrQt56dPO3TVdUWv19/U4Qgh\nhBBCiFuDJBOiTWlpaQwdOrRdsXq9nr59+97kEQkhhBBCiFuB1EwIIYQQQgghrovMTIg2TZ06td2x\nXXVdKSwolNkJIYQQQojfAEkmRNvuA+5oR9xZqM2q5ezZs5JMCCGEEEL8BtywZCIhIYE9e/ZQWlpK\nSkqKsot1s9TUVHbu3Im9vT0uLi4YjUagadfr2NhYCgsLUavVTJ8+nYCAAACsVisJCQns378ftVrN\nxIkTeeyxx1rt//z580RHR1NSUoJWqyU8PJxhw9qzOULrTp48SVRUFCqVCoALFy5QXV3Ntm3bANi3\nbx/vvPMOVquVxsZG/vznP/Pggw8CkJ6ezvbt2ykuLmblypX4+/tftZ/8/HyMRiN1dXW4urqyZMkS\nevbs2eb4rtXHW2+9xRdffIFWq8XOzo5nnnmGP/zhD0DT5n6vv/46xcXFWCwWHn74YSZNmnTtzroD\nHm0OSQghhBBC/MbcsGRi7NixBAcHM2fOHJu2f/zjH5w8eZINGzag0WioqKhQ2t599120Wi1paWmY\nTCZmzpyJr68vTk5OfPrpp3z//fekp6dz4cIFQkND8fX1pV+/fjZ9JCcn4+XlRUxMDIWFhSxdupSM\njAw0Gs113c+AAQNISUlRvq9du1ZJLACio6P5+9//zoABAzCZTISEhDBmzBh0Oh0jR44kMDCQ2NjY\na/ZhtVqJiopiwYIF+Pj4kJmZSUJCAsuXL29zfNfqY9iwYTz11FNotVq+/fZbwsPD2bJlC126dCEx\nMZH+/fuzcuVKamtrmT17Nt7e3nh6erb/4QghhBBCCMENLMD29vZGr9djtdpuqJ2ZmUlYWJjyw757\n9+5KW05ODhMmTADA3d0dHx8fvvjiCwByc3N56KGHAHBycuK+++7j888/b7X/3Nxc5Tqenp7o9Xry\n8vJs4nbs2MGMGTNoaGgAIDIykvT09GveW11dHTt27OBPf/qTckylUmE2mwG4ePEiLi4uaLVapX93\nd/dWn8XlioqKsLOzw8fHB4Dx48ezd+9e6uvrr3leW33cfffdylgGDhwINM3cAHz77beMHj0agK5d\nuzJs2DA+++yzNvsTQgghhBDiSje9ZqK6upqKigp2797Nrl27UKlUTJo0ifvuuw+AsrIyDAaDEu/u\n7k5ZWdlV244ePWrTR1VVFRaLpUWSYjAYlOtcLigoiCNHjpCYmIjBYMBisTBlypRr3sP//d//4eHh\n0eLVraVLl7J06VK6du2K2Wxm5cqVHZ4FKS0tbXF/Op0OR0dHysvLcXd3Jy4uDn9/f/z8/Dp03ct9\n9NFHeHh4KP14enqyY8cOhg4dSmVlJV9++aXUNwghhBBCiOty05MJi8WCxWKhvr6exMRETCYTs2fP\npl+/fspfzTvbrFmzmDlzJmazucWrTFfz8ccft5iVsFgspKWlsWrVKry9vSksLCQyMpJ33nkHZ2fn\nGzbO+fPn/6zzDx48yObNm4mPj1eOPf/887z55puEhobSvXt37rrrLmXWQgghhBBCiI646cmEk5MT\nDg4OBAUFAU2zC3feeScFBQUMHDgQg8FAaWkpPXr0APh/7N17WJRl/vjx93AYBQJUBgapTNQgSdTQ\nVKJCRa1rXW3zsMWqaRrIYgmth0LWy1MLgoCr+EWBNv0mLN9sNZ3KskxkbT1UGmQpoOtm+wMGEhEc\nBB1m5vfHxLPicDBTcvPzuq7nuprnvue5P3PbH8+H+4Rer1cWC3t5eVFZWUlAQIBS5uXlZdOGm5ub\nshajeXSirbpgXYRsMBiwWCzU1dXh6uraZvx6vZ6TJ0+ycuVK5d7p06eprq4mMDAQsP6139PTk1On\nTjFkyJDr7hutVoter1c+NzQ0UF9ff10LsDtSWFjImjVrSExM5O6771buu7m58corryif165dS+/e\nvdt/2EHg62vuBf5wCSGEEEKITpGXl0deXl6Le7W1tT9TNFadcmjd6NGjOXLkCGCdklRcXKxMGQoN\nDUWn0wFQUVFBUVERjz76qFL2/vvvYzabqaurIz8/X5keda2rn1NcXEx1dbWyFuFqJpOJVatWMWfO\nHKKjo1mxYoWyfqI1u3fv5tFHH8XFxUW55+Xlxfnz5/nuu+8AKCsro7y8/EdPF/Lz88NkMlFYWAiA\nTqcjODgYR0fHH/WcaxUVFbF69Wpee+01fH19W5Q1TwkDOHXqFP/4xz946qmn2n/gI8DvrrkkkRBC\nCCGE6FTh4eHodLoW19q1a3/WmFT5+fntrxK+TmlpaRw+fJiamhrc3NxwdnZm69atgPUFNikpiYqK\nClQqFU899ZSyWLqxsVHZGtbe3r7F1rBms5kNGzZw5MgRVCoVkydPVraGLSkpYcuWLSQmJgLW0YaE\nhAT0ej2Ojo7ExMS0mkxs2rSJuro6Fi9eDFh3aTKbzcTGxtrUtVgshIeHExcXZ/Osffv2kZubi52d\nHWazmWnTpjF69GgAcnJy0Ol01NbW4uzsjFqtJisrC3d3d3Q6HefPn2fWrFmAdWvY1NRUjEYjGo2G\nuLg4PD09AdpdM9FeGzNmzODSpUt4eHhgsVhQqVTExcXh6+vLZ599Rnp6Ovb29jg7O/P73/9eGWG5\nVmlpKXPnzoVJwPXsslsOZFmnVwUFBV3HF4QQQgghxE9x7NgxhgwZQmZmJn5+fp3e/k1LJsQvjyQT\nQgghhBC3t587meiUaU5CCCGEEEKIX55bvgBb/ALUYB116Mi5Wx2IEEIIIYS4nUgyITqW/8N1Hbo6\ndUWj0dzScIQQQgghxO1BkgnRoZycHPr3739ddTUajRyCJ4QQQghxh5A1E+KmkURCCCGEEOLOIiMT\nokPTp0+/rnpdnbpSUlwiCYUQQgghxB1CkgnRsVHA/R3UOQeNOxo5d+6cJBNCCCGEEHeIm5ZMpKen\nc/DgQSorK8nOzlZOuAZISkqitLQUOzs7HBwciIiIaHEOwc6dO9m5cyf29vbY2dmRkZGhnAJdUFDA\nm2++qRy+lpCQgFartWn/woULJCYmUl5ejlqtJiYmhoEDr+dwhLYZDAbWrVtHSUkJDg4OBAcHExER\nAVhPvU5MTKSurg4XFxdeffVV7rvvvhbfP3bsGIsWLSI6OprJkye32saJEydIS0vjypUreHp6smTJ\nEjw8PDqMLTc3lz179lBWVsbKlSsJCQlRyl5//XUOHDiAWq3GwcGB2bNn8/DDDwPWvn733XeVw/bG\njx/PpEmT2m+sO+DTYUhCCCGEEOIOc9OSiZEjRxIeHs78+fNtyl588UVcXFwAOH36NAsWLGDXrl0A\nfPrpp+zbt4+NGzfi5OREbW0tDg7WsE6dOsXmzZtJS0ujR48eNDQ0YG9v32r7WVlZBAQEkJSURElJ\nCUuXLiUvL6/N+tcjOTmZwMBA4uPjAesp281SU1OZOHEi48aNo6CggNWrV7Nx40alvL6+nuzsbEaM\nGNHm8y0WCwkJCSxatIhBgwaxbds20tPTWb58eYexDR06lLCwMJKTk23KBg4cyHPPPYdareaf//wn\nMTExbN++nS5dujBu3Dh+85vfANDQ0MDzzz/PwIED6dev3/V2ixBCCCGEEMBNXIAdGBiIRqPBYrE9\nULs5kQDrX/uvtm3bNmbOnImTkxMA7u7uqFQqAN5++22mTp1Kjx49AHByckKtVrfa/v79+5k4cSIA\n/v7+aDQaioqKbOrt3buXqKgompqaAIiPjyc3N9emXllZGaWlpUydOlW51717d8A6ClJaWsqYMWMA\nCA0NpaqqivLy/xzGsG7dOp577jnc3NxajResJ0w7ODgwaNAgACZMmMChQ4cwGo1tfqeZv78/3t7e\nrfb3sGHDlH7q06ePEjOAs7OzUu/SpUuYTKYO2xJCCCGEEKI1nbZmIjs7m/3792MwGFixYoVy/+zZ\nsxQXF7NlyxaampoYO3asMu3m22+/xdvbm9jYWC5dusSIESN4/vnnlWSjWV1dHSaTSXnZB9BqtVRV\nVdnEMWbMGI4fP05GRgZarRaTHVr/ZgAAIABJREFUycS0adNs6p09exaNRkNaWholJSW4u7sTGRlJ\nv379qKqqwsPDAzu7/+RiXl5eVFVV4ePjQ0FBAfb29gQHB/P3v/+9zT6prKxsMWXLyckJFxcXqqur\n8fb2JiUlhZCQEIKDg6+jh1u3e/dufHx8WrRTUFDAli1bKC8v54UXXpBRCSGEEEIIcUM6bWvYiIgI\ncnNzWbZsGZmZmcpfxE0mE3q9nvXr17N69WreffddDh8+rJSdPn2aNWvWsH79er755htletRPMW/e\nPL766iveeecdZQrTtUwmEydPniQsLIzMzEymTJlCXFxch3/JP3/+PDk5Obz44os/Oc6FCxf+pETi\n6NGjbN26lWXLlrW4HxoayubNm3nzzTf5+OOP+X//7//91FCFEEIIIcQdqNN3cwoKCuLSpUucOXOG\n+++/H61WS1hYGCqVCnd3d4YPH86JEycYMWIEWq2Wxx9/HEdHRxwdHXnsscc4ceKEMue/mZubG/b2\n9tTU1CijE3q9Hi8vr1ZjqKmpwWAwYLFYqKurw9XV1aaOl5cXnp6eyhSkYcOG0dTURGVlJV5eXlRX\nV2M2m5XRiaqqKry8vCgtLeX8+fNERERgsViora3l4MGD1NbWMnv27BZtaLVa9Hq98rmhoYH6+vrr\nWoDdkcLCQtasWUNiYiJ33313q3W0Wi39+/fn0KFDLaZz2TgIfH3NvcAfLiGEEEII0Sny8vLIy8tr\nca+2tvZnisbqlicTzSMPzS+0J0+e5MKFC/Ts2ROAsLAwjhw5wuDBg7l8+TJFRUU8++yzStnBgwd5\n4oknMJvNfPHFF23u0BQaGopOp2PmzJkUFxdTXV2tJALXxrNq1SrmzJmDWq1mxYoVZGRkKIu+m/n7\n++Pi4sKZM2fo06cPJ0+eBKxJhoODA35+fnz00Uc8+eSTFBQU4OXlhY+PDz4+Pmzfvl15TlJSEv36\n9Wt1Nyc/Pz9MJhOFhYUMHjwYnU5HcHCwspPVjSoqKmL16tW89tpr+Pr6tig7e/assuvUhQsX+PLL\nL3n88cfbf+AjwE/bGEsIIYQQQvxE4eHhhIeHt7h37NgxhgwZ8jNFdBOTibS0NA4fPkxNTQ2LFy/G\n2dmZrVu30tTUxOrVq7l06RJ2dnY4OTmxYsUK7rrrLgCmTJlCWloas2bNws7OjtDQUEJDQwEYPXo0\np06d4vnnn8fe3p7AwEDlpbykpIQtW7aQmJgIQGRkJAkJCcyYMQNHR0fi4+Nb3ckpOzubXr16MXbs\nWMD64r1hwwZiY2Nt6r766qukpKRw5coVHB0dWblypZJ0vPzyyyQlJfHXv/4VFxcXFi9efF39pNPp\nOH/+PLNmzUKlUrFkyRJSU1MxGo1oNBri4uKUuu2tmcjJyUGn01FbW0tKSgrr168nKysLd3d3UlJS\nMBqNJCcnK1vqxsXF4evry/bt2/nqq69Qq9VYLBamTJnys/4PKIQQQggh/nup8vPzbbcDEgLrblNz\n586FSXQ8MlEOZFnXaVx9hogQQgghhLh1mkcmMjMz8fPz6/T2O20BthBCCCGEEOKXpdMXYIv/QjVY\nRx7ac64zAhFCCCGEELcTSSZEx/J/uDrQ1akrGo3mlocjhBBCCCFuD5JMiA7l5OTQv3//DutpNBp6\n9erVCREJIYQQQojbgayZEEIIIYQQQtwQGZkQHZo+ffp11evq1JWS4hIZnRBCCCGEuENIMiE6Ngq4\nv4M656BxRyPnzp2TZEIIIYQQ4g5x05KJ9PR0Dh48SGVlJdnZ2fTt21cpS0pKorS0FDs7OxwcHIiI\niGhxFsHOnTvZuXMn9vb22NnZkZGRoZwCXVBQwJtvvqkcvpaQkIBWq7Vp/8KFCyQmJlJeXo5arSYm\nJqbN07Kvl8FgYN26dZSUlODg4EBwcDARERHU1dWxYMECVCoVAI2NjVRUVPDOO+9w1113kZuby549\neygrK2PlypWEhIS02caJEydIS0vjypUreHp6smTJEjw8PDqMrb02Xn/9dQ4cOIBarcbBwYHZs2fz\n8MMPA7Bjxw7ee+89VCoVKpWKZ555RjnAr03dAZ+O+0sIIYQQQtxZbloyMXLkSMLDw5k/f75N2Ysv\nvoiLiwsAp0+fZsGCBezatQuATz/9lH379rFx40acnJyora1VTpk+deoUmzdvJi0tjR49etDQ0NDq\nqdYAWVlZBAQEkJSURElJCUuXLiUvL6/N+tcjOTmZwMBA4uPjAaipqQHAzc2N7Oxspd62bdsoKipS\nTvUeOnQoYWFhJCcnt/t8i8VCQkICixYtYtCgQWzbto309HSWL1/eYWzttTFw4ECee+451Go1//zn\nP4mJiWH79u106dIFX19fNmzYgLOzM99//z0REREMGDCAnj17Xm+3CCGEEEIIAdzEBdiBgYFoNBos\nFtsDtZsTCbD+tf9q27ZtY+bMmTg5OQHg7u6u/MX/7bffZurUqfTo0QMAJycn1Gp1q+3v37+fiRMn\nAuDv749Go6GoqMim3t69e4mKiqKpqQmA+Ph4cnNzbeqVlZVRWlrK1KlTlXvdu3dvte3du3czfvx4\n5bO/vz/e3t6t9sXVSktLcXBwYNCgQQBMmDCBQ4cOYTQa2/1eR20MGzZM6ac+ffoA1pEbgIceeghn\nZ2cAPD096dGjB1VVVR22J4QQQgghxLU6bc1EdnY2+/fvx2AwsGLFCuX+2bNnKS4uZsuWLTQ1NTF2\n7FgmTZoEwLfffou3tzexsbFcunSJESNG8PzzzyvJRrO6ujpMJlOLl32tVtvqS/KYMWM4fvw4GRkZ\naLVaTCYT06ZNs6l39uxZNBoNaWlplJSU4O7uTmRkJP369WtR7+uvv8ZgMDBixIgf3SeVlZUtpmw5\nOTnh4uJCdXU13t7epKSkEBISQnBw8I9+drPdu3fj4+PT6tSwo0ePYjAYeOCBB274+UIIIYQQ4s7V\naVvDRkREkJuby7Jly8jMzMRkMgFgMpnQ6/WsX7+e1atX8+6773L48GGl7PTp06xZs4b169fzzTff\nKNOjfop58+bx1Vdf8c477yhTmK5lMpk4efIkYWFhZGZmMmXKFOLi4pS4m33wwQeMGzcOO7ub35UL\nFy78SYnE0aNH2bp1K8uWLbMpO3PmDMnJySxbtowuXbr8lDCFEEIIIcQdqtN3cwoKCuLSpUucOXOG\n+++/H61WS1hYGCqVCnd3d4YPH86JEycYMWIEWq2Wxx9/HEdHRxwdHXnsscc4ceIEv/nNb1o8083N\nDXt7e2pqapTRCb1ej5eXV6sx1NTUYDAYsFgs1NXV4erqalPHy8sLT09PZQrSsGHDaGpqorKyEh8f\n62rkhoYG9u/fz6ZNm26oL7RaLXq9Xvnc0NBAfX39dS3A7khhYSFr1qwhMTGRu+++u0XZt99+S3x8\nPK+88goPPvhgxw87CHx9zb3AHy4hhBBCCNEp8vLyyMvLa3Gvtrb2Z4rG6paPTJhMJsrKypTPJ0+e\n5MKFC8qC37CwMI4cOQLA5cuXKSoqUnaCCgsL4/PPP8disWAymfjiiy9sphk1Cw0NRafTAVBcXEx1\ndbWSCFwbz6pVq5gzZw7R0dGsWLFCWT9xNX9/f1xcXDhz5owSN9AiQdm3bx/9+vXj3nvv/dH9AuDn\n54fJZKKwsBAAnU5HcHCwspPVjSoqKmL16tW89tpr+Pr6tig7e/YscXFxLFiwoMWOWu16BPjdNZck\nEkIIIYQQnSo8PBydTtfiWrt27c8akyo/P7/9VcLXKS0tjcOHD1NTU4ObmxvOzs5s3bqVy5cvs3Dh\nQi5duoSdnR1OTk7Mnj2bwYMHA3DlyhXS0tIoLi7Gzs6O0NBQZs6cCVh3O8rMzOTw4cPY29sTGBjI\nSy+9hL29PSUlJWzZsoXExETAOtqQkJCAXq/H0dGRmJiYVpOJTZs2UVdXx+LFiwFYv349ZrOZ2NhY\nm7qnTp1i7dq1XLlyBUdHR6KjowkM/M9b9EsvvcSvf/1rnnjiiRbfy8nJQafTUVtbi7OzM2q1mqys\nLNzd3dHpdJw/f55Zs2YB1q1hU1NTMRqNaDQa4uLi8PT0BGh3zUR7bcyYMYNLly7h4eGhbKkbFxeH\nr68vixYtorS0FK1Wq5RFRkYydOhQmzZKS0uZO3cuTAI62mW3HMiyTq267iRFCCGEEEL8JMeOHWPI\nkCFkZmbi5+fX6e3ftGRC/PJIMiGEEEIIcXv7uZOJTluALYQQQgghhPhl6fQF2OK/UA3WkYf2nOuM\nQIQQQgghxO1EkgnRsfwfrg50deqKRqO55eEIIYQQQojbgyQTokM5OTn079+/w3oajYZevXp1QkRC\nCCGEEOJ2IGsmxE0hiYQQQgghxJ1HRiZEh6ZPn95hna5OXSkpLpGEQgghhBDiDiLJhOjYKOD+dsrP\nQeOORs6dOyfJhBBCCCHEHeSmJRPp6ekcPHiQyspKsrOzlVOsAZKSkvjmm2/o0qULTk5OzJs3D39/\nfwDKyspITU3l4sWLGI1GRowYQVRUFGA9tC49PZ0jR45gZ2fHpEmTePrpp1tt/8KFCyQmJlJeXo5a\nrSYmJoaBAzs6HKF9H374IW+//TZ2dnaoVCrmzJnD8OHDAfjss8944403aGpqomvXrrz88sstfvOW\nLVvYt28fjo6OuLu7k5aW1mobJ06cIC0tjStXruDp6cmSJUvw8PDoMLbc3Fz27NlDWVkZK1euJCQk\nRCn74IMP+Nvf/sbZs2f5/e9/z+TJk5WynTt38u6772JnZ4fZbGb8+PFMmjSp/ca6Az4dhiSEEEII\nIe4wNy2ZGDlyJOHh4cyfP9+m7PHHH2fRokXY2dlx6NAhli9fTl5eHmA9kfqxxx7j6aefxmg0EhUV\nRVBQEMOGDeOjjz7iu+++Izc3l4sXLxIREUFQUBD33XefTRtZWVkEBASQlJRESUkJS5cuJS8vD3t7\n+xv6PRcvXmTDhg3k5OTQrVs3jh8/zrJly9ixYwcGg4E//elPpKen06tXL44fP86f/vQn3njjDQD+\n9re/8a9//YvNmzdjb29PTU1Nq21YLBYSEhJYtGgRgwYNYtu2baSnp7N8+fIO4xs6dChhYWEkJyfb\nlPn7+7Ns2TL++te/2pSNGzeO3/zmNwA0NDTw/PPPM3DgQPr16/cjekcIIYQQQoibuAA7MDAQjUaD\nxWJ7oHZwcDB2dtamAgICqK6uxmw2A6BSqaivrwegsbERk8mk/GV+//79jB8/HgBXV1dGjRrFJ598\n0mr7+/fvZ+LEiYD1ZVqj0VBUVGRTb+/evURFRdHU1ARAfHw8ubm5NvWa42uOzWAw4OnpCVhHU9zd\n3ZUpPYGBgVRVVXH69GkAtm3bRmRkpJLIdO/evdWYS0tLcXBwYNCgQQBMmDCBQ4cOYTQaW61/NX9/\nf7y9vVvt7z59+tCrVy9UKpVNmbOzs/Lfly5dwmQyddiWEEIIIYQQren0NRPbt29n+PDhSnIxb948\nlixZwq5duzAYDMyYMUOZLlRVVYVWq1W+6+3tzcmTJ22eWVdXh8lkavHSrtVqqaqqsqk7ZswYjh8/\nTkZGBlqtFpPJxLRp02zqubu7ExsbS2RkJG5ubly+fJnU1FQA7rnnHurq6jhx4gQBAQH84x//oKGh\nAb1ej4+PDzU1NXz66acUFBSgUqmYMmUKo0aNsmmjsrKyxe9zcnLCxcWF6upqvL29SUlJISQkhODg\n4Ovt3utSUFDAli1bKC8v54UXXpBRCSGEEEIIcUM6NZn4+OOPKSgoYN26dcq9Xbt2MWbMGMLDw6mt\nrSU2NhZ/f3+GDBlyy+KYN28e0dHRGAwGsrOzW61TX1/P9u3b2bRpE/feey+HDh3ij3/8I2+++SYu\nLi4sX76crKwsGhsbCQgI4L777sPe3h6TyYTJZMJoNJKRkYFer+ell17ivvvuo0+fPj8qzoULF96M\nn2sjNDSU0NBQKisrWbp0KcHBwdxzzz23pC0hhBBCCPHL1WnJxL59+9i6dSupqal069ZNub9z505y\ncnIA62jA8OHDKSoqYsiQIXh5eVFZWUlAQAAAer0eLy8vm2e7ubkpaxOaRyfaqgtQU1ODwWDAYrFQ\nV1eHq6urTZ0vvvgCV1dX7r33XsA6VSs5ORm9Xs/dd9/N4MGD+fOf/wyA0Whk8uTJ9O7dG1dXV5yd\nnRkzZgxgHU158MEHKS4utkkmtFoter1e+dzQ0EB9ff11LcC+GbRaLf379+fQoUNMnTq17YoHga+v\nuRf4wyWEEEIIITpFXl6esu64WW1t7c8UjVWnHFqXn5/P5s2bSUlJUdYdNPPx8eGzzz4DrC/ThYWF\n9O7dG7D+Bf3999/HbDZTV1dHfn5+q9OFmuvqdDoAiouLqa6uVtYiXM1kMrFq1SrmzJlDdHQ0K1as\nUNZPXBvX6dOnOX/+PADffPMNZrNZSVCa7wO8+eabBAUF0bNnTwBGjx7NkSNHAOsUrOLi4hY7PTXz\n8/PDZDJRWFgIgE6nIzg4GEdHxzZ68se7dk3F2bNnlf++cOECX375ZccjJo8Av7vmkkRCCCGEEKJT\nhYeHo9PpWlxr1679WWNS5efn267gvQFpaWkcPnyYmpoa3NzccHZ2ZuvWrQCMHTsWDw8P3NzcsFgs\nqFQqUlNTcXV15fTp06xbt47GxkaMRiMhISFEREQA1kXQGzZs4MiRI6hUKiZPnqxsDVtSUsKWLVtI\nTEwErKMNCQkJ6PV6HB0diYmJaTWZ2LRpE3V1dSxevBiA9evXYzabiY2Ntam7Y8cOdDodjo6O2Nvb\nExkZSVBQEAApKSkcP34cs9lMQEAA8+fPx8XFBbAmEElJSVRUVKBSqXjqqaeUxeE6nY7z588za9Ys\nwLo1bGpqKkajEY1GQ1xcnJJwtbdmIicnB51OR21tLc7OzqjVarKysnB3d+fDDz/kjTfewGAw4ODg\ngJOTE3/605/o168faWlpfPXVV6jVaiwWCxMmTFBiu1ZpaSlz586FSUB7u+yWA1lw9OhRpX+EEEII\nIcStd+zYMYYMGUJmZiZ+fn6d3v5NSybEL48kE0IIIYQQt7efO5nolGlOQgghhBBCiF+eTt8aVvwX\nqsE6+tCWc50ViBBCCCGEuJ1IMiE6lv/D1Y6uTl3RaDSdEo4QQgghhLg9SDIhOpSTk0P//v3braPR\naJQTwYUQQgghxJ1B1kwIIYQQQgghboiMTIgOTZ8+vcM6XZ26UlJcIqMTQgghhBB3EEkmRMdGAfe3\nU34OGnc0cu7cOUkmhBBCCCHuILc8mairq2PBggWoVCoAGhsbqaio4J133uGuu+6iuLiY9PR0jEYj\nV65c4cknn+TZZ58FoKysjNTUVC5evIjRaGTEiBFERUW12k5ZWRmJiYnU1dXh4uLCq6++yn333XfD\ncX/++edkZWWhUqmwWCxcuHCBHj16kJmZSXV1NUlJSVRWVuLo6Mg999zDyy+/jLu7O1euXGHVqlWc\nPXuWLl260K1bN2JjY7n77rtbbefQoUNs2rQJi8WCr68vr776Kk5OTh3Gl56ezsGDB6msrCQ7O7vF\nCdu5ubns2bOHsrIyVq5cSUhIiFL2+uuvc+DAAdRqNQ4ODsyePZuHH364/ca6Az7X1W1CCCGEEOIO\ncsuTCTc3N7Kzs5XP27Zto6ioiLvuuguA1NRUZs+eTXBwMBcvXmTmzJk88sgj9OrVi02bNvHYY4/x\n9NNPYzQaiYqKIigoiGHDhtm0k5qaysSJExk3bhwFBQWsXr2ajRs33nDcDz/8cIuX7CVLligHstnZ\n2fHcc88xYMAAwHqq9qZNm3jllVcAmDBhghLjO++8Q0pKSqtHnTc0NLBmzRrWr1/PPffcw/r16/nf\n//3fNhOmq40cOZLw8HDmz59vUzZ06FDCwsJITk62KRs4cCDPPfccarWaf/7zn8TExLB9+3a6dOly\nHb0ihBBCCCHEf3T6Auzdu3fzq1/9SvmsUqkwGAyA9eXa0dERV1dXpay+vh6wjmiYTCZ69Ohh88wL\nFy5QWlrKmDFjAAgNDaWqqoryctvDEXJycoiPjwfAaDQyd+5cPvnkk3ZjPnfuHMeOHWPs2LEAdO/e\nXUkkAPr3709lZSUAarW6RbITEBCglF3rs88+w8/Pj3vuuQeAp556in379rUbS7PAwEA0Gg0Wi+0B\n5v7+/nh7e7daNmzYMNRqNQB9+vQBrP0nhBBCCCHEj9WpycTXX3+NwWAgODhYubd48WL+8pe/8Oyz\nzzJz5kxeeOEFunfvDsC8efPIz89n6tSp/Pa3v2XcuHH069fP5rlVVVV4eHhgZ/efn+Pl5UVVVZVN\n3enTp2Mymdi2bRsZGRk88MADhIWFtRv3nj17GDFiBO7u7jZlZrOZnTt3tphKdLXt27e3WVZZWYlW\nq1U+e3t7c/78ecxmMwCvvvoqpaWl7cb2U+zevRsfH58WMQghhBBCCHG9OnUB9gcffMC4ceNavPTn\n5eURGRnJ6NGjqaioIDY2Fn9/f3r16sWuXbsYM2YM4eHh1NbWKmVDhgz5SXEsWbKEyMhIXF1dycjI\nuK64W5tOBLB27VpcXV2ZPHmyTVlOTg7l5eUsXLjwhuJcvXr1DX3vehw9epStW7eSmpp6y9oQQggh\nhBC/bJ2WTDQ0NLB//342bdqk3KutreXAgQMsXboUgJ49e9K/f3+OHz9Or1692LlzJzk5OQC4u7sz\nfPhwioqKbJIJLy8vqqurMZvNSqJSVVWFl5dXq7Ho9XrMZjOXLl2isbERR0fHNuMuLCzEaDS2ukh5\n/fr1VFdXs2rVKpuyt956i3/84x+kpqYq04qupdVqOXr0qPK5oqLCZoTlVigsLGTNmjUkJia2uTC8\nhYPA19fcC/zhEkIIIYQQnSIvL4+8vLwW92pra3+maKw6bZrTvn376NevH/fee69yz9XVFScnJ778\n8kvA2hnFxcXKXH4fHx8+++wzwJqMFBYW0rt3b5tnd+vWDT8/Pz766CMACgoK8PLywsfHdgui+vp6\nXnvtNZYsWcLEiRNJSEhoN+7du3fzxBNPKLtRNVu/fj3l5eWsXLkSe3v7FmXbtm1j3759rFmzBmdn\n5zafPWzYME6dOsW///1vAHQ6HaNGjWo3np+qqKiI1atX89prr+Hr63t9X3oE+N01lyQSQgghhBCd\nKjw8HJ1O1+JqbZOfzqTKz8+3XaV7C7z00kv8+te/5oknnmhx/9ixY2RmZmI2m2lqamL8+PFMmTIF\ngNOnT7Nu3ToaGxsxGo2EhIQQEREBwMGDBzl48KAyhejf//43SUlJytawixcvbvVlefny5fTt25cZ\nM2YAEB8fT2BgoLId7dXq6+uZOnUqb7zxBt7e3sr9r7/+mpiYGO69915lVKNnz56sXLmS77//nmee\neQYfHx+cnZ2xWCyo1Wr+53/+B4DNmzej0WiYMGEC8J+tYc1ms7I1bHMC8uqrrzJ79mz8/PxsYktL\nS+Pw4cPU1NTg5uaGs7MzW7duBazTq3Q6HbW1tTg7O6NWq8nKysLd3Z0ZM2Zw6dIlPDw8sFgsqFQq\n4uLiWu2r0tJS5s6dC5OAgW39ywLlQJZ16lTzjldCCCGEEOLWO3bsGEOGDCEzM7PVd8ZbrdOSCfHf\nR5IJIYQQQojb28+dTHT61rBCCCGEEEKIX4ZO3c1J/JeqwTr60JZznRWIEEIIIYS4nUgyITqW/8PV\njq5OXdFoNJ0SjhBCCCGEuD1IMiE6lJOTQ//+/duto9Fo6NWrVydFJIQQQgghbgeyZkL8ZJJICCGE\nEELcmWRkQnRo+vTp7ZZ3depKSXGJJBRCCCGEEHcYSSZEx0YB97dRdg4adzRy7tw5SSaEEEIIIe4w\nNy2ZSE9P5+DBg1RWVpKdnU3fvn2VsqSkJL755hu6dOmCk5MT8+bNw9/fH4CysjJSU1O5ePEiRqOR\nESNGEBUVBYDFYiE9PZ0jR45gZ2fHpEmTePrpp1tt/8KFCyQmJlJeXo5arSYmJoaBA9s7HKFjBoOB\ndevWUVJSgoODA8HBwcqheWVlZSQmJiqH5L366qvcd999yne3bNnCvn37cHR0xN3dnbS0NJvnNzY2\n8oc//AGj0YjFYkGj0fDyyy+j1Wo7jC03N5c9e/ZQVlbGypUrCQkJUcouX75McnIyJSUl2NnZMWfO\nHEJDQwHYsWMH7733HiqVCpVKxTPPPMPYsWPbb6w7YHuYuBBCCCGEuMPdtGRi5MiRhIeHM3/+fJuy\nxx9/nEWLFmFnZ8ehQ4dYvnw5eXl5AGzatInHHnuMp59+GqPRSFRUFEFBQQwbNoyPPvqI7777jtzc\nXC5evEhERARBQUEtXtqbZWVlERAQQFJSEiUlJSxdupS8vDzs7e1v+DclJycTGBhIfHw8ADU1NUpZ\namoqEydOZNy4cRQUFLB69Wo2btwIwN/+9jf+9a9/sXnzZuzt7Vt872pdunQhNTUVJycn5Xvp6em8\n9tprHcY2dOhQwsLCSE5Otil76623UKvV5OTkoNfriY6OJigoCFdXV3x9fdmwYQPOzs58//33RERE\nMGDAAHr27Pmj+0cIIYQQQtzZbtoC7MDAQDQaDRaL7YHawcHB2NlZmwoICKC6uhqz2QyASqWivr4e\nsP6l3mQy4eHhAcD+/fsZP348AK6urowaNYpPPvmk1fb379/PxIkTAfD390ej0VBUVGRTb+/evURF\nRdHU1ARAfHw8ubm5NvXKysooLS1l6tSpyr3u3bsD1lGQ0tJSxowZA0BoaChVVVWUl1sPY9i2bRuR\nkZFKItP8vWupVColkbBYLNTX1yv91BF/f3+8vb1b7e/8/HylL7y9vRk8eDAHDhwA4KGHHsLZ2RkA\nT09PevToQVVV1XW1KYQQQgghxNU6fc3E9u3bGT58uPLSPG/ePJYsWcKuXbswGAzMmDFDmSJVVVXV\nYsqPt7c3J0+etHlmXV0dJpOpxUu7Vqtt9SV5zJgxHD9+nIyMDLRaLSaTiWnTptnUO3v2LBqNhrS0\nNEpKSnB3dycyMpJ+/fqh5y2YAAAgAElEQVRRVVWFh4dHixd/Ly8vqqqq6NatGzU1NXz66acUFBSg\nUqmYMmUKo0aNarNPFi5cyJkzZ+jevXuLkYaUlBRCQkIIDg5ur0ttXNtvbfXF0aNHMRgMPPDAAz/q\n+UIIIYQQQkAnbw378ccfU1BQwIIFC5R7u3btYsyYMbz99tv83//9Hx9//DFHjx69pXHMmzePr776\ninfeeUeZwnQtk8nEyZMnCQsLIzMzkylTphAXF4fJZGr32SaTCZPJhNFoJCMjg6VLl5KRkcGZM2fa\n/E5KSgo7duxg1KhRbN26Vbm/cOHCH51IXK8zZ86QnJzMsmXL6NKlyy1pQwghhBBC/LJ12sjEvn37\n2Lp1K6mpqXTr1k25v3PnTnJycgBwd3dn+PDhFBUVMWTIELy8vKisrCQgIAAAvV6Pl5eXzbPd3NyU\ntQnNoxNt1QXr2geDwYDFYqGurg5XV1ebOl5eXnh6ejJo0CAAhg0bRlNTE5WVlXh5eSlTtZpHJ5pH\nA1xdXXF2dlamQHl7e/Pggw9SXFxMnz592u2jX/3qV8yYMYPY2Nh263VEq9VSWVlJjx49AGtfPPzw\nw0r5t99+S3x8PK+88goPPvhgxw88CHx9zb3AHy4hhBBCCNEp8vLylHXHzWpra3+maKw6ZWQiPz+f\nzZs3k5KSgqenZ4syHx8fPvvsMwAaGhooLCykd+/egHUtwvvvv4/ZbKauro78/Pw2pwuFhoai0+kA\nKC4uprq6WkkErmYymVi1ahVz5swhOjqaFStWKOsnrubv74+Li4syotA8vcrLy4tu3brh5+fHRx99\nBEBBQQFeXl7KIubRo0dz5MgRwDoFq7i4uMXuVs3Onz+PwWBQPu/bt6/Vej/W1X1RUVFBUVERjz76\nKGCdvhUXF8eCBQsICgq6vgc+AvzumksSCSGEEEKIThUeHo5Op2txrV279meNSZWfn2+7gvcGpKWl\ncfjwYWpqanBzc8PZ2VmZsjN27Fg8PDxwc3PDYrGgUqlITU3F1dWV06dPs27dOhobGzEajYSEhCjb\nr5rNZjZs2MCRI0dQqVRMnjxZ2Rq2pKSELVu2kJiYCFhHGxISEtDr9Tg6OhITE9NqMrFp0ybq6upY\nvHgxAOvXr8dsNrc6GnDq1CnWrl3LlStXcHR0JDo6msBA61v0v//9b5KSkpStYRcvXoyvry9gTSCS\nkpKoqKhApVLx1FNPKQuidTod58+fZ9asWRQXF5OWlobZbMZisXD33XcTHR2Nt7c30P6aiZycHHQ6\nHbW1tTg7O6NWq8nKysLd3Z3GxkZla1h7e/sWW8MuWrSI0tJStFqt8m8RGRnJ0KFDbdooLS1l7ty5\nMAloa5fdciDLuv7iupMTIYQQQghxUxw7dowhQ4aQmZmJn59fp7d/05IJ8csjyYQQQgghxO3t504m\nOnUBthBCCCGEEOKXo9O3hhX/hWqwjkC05lxnBiKEEEIIIW4nkkyIjuX/cLWhq1NXNBpNp4UjhBBC\nCCFuD5JMiA7l5OTQv3//Nss1Gg29evXqxIiEEEIIIcTtQNZMCCGEEEIIIW6IjEyIDk2fPr3d8q5O\nXSkpLpHRCSGEEEKIO4wkE6Jjo4D72yg7B407Gjl37pwkE0IIIYQQd5iblkykp6dz8OBBKisryc7O\nbnGSc1JSEt988w1dunTBycmJefPm4e/vD0BZWRmpqalcvHgRo9HIiBEjiIqKAsBisZCens6RI0ew\ns7Nj0qRJyqF117pw4QKJiYmUl5ejVquJiYlh4MC2Dke4Ph9++CFvv/02dnZ2qFQq5syZw/DhwwE4\nfPgwb7zxBhaLBbPZzG9/+1ueeOIJwHoCd3p6OkajkStXrvDkk0/y7LPPttrGiRMnSEtL48qVK3h6\nerJkyRI8PDw6jC03N5c9e/ZQVlbGypUrCQkJUcouX76sHFpnZ2fX4tC6HTt28N5776FSqVCpVDzz\nzDOMHTu2/ca6Az7X0WFCCCGEEOKOctOSiZEjRxIeHs78+fNtyh5//HEWLVqEnZ0dhw4dYvny5eTl\n5QHWE6kfe+wxnn76aYxGI1FRUQQFBTFs2DA++ugjvvvuO3Jzc7l48SIREREEBQVx33332bSRlZVF\nQEAASUlJlJSUsHTpUvLy8rC3t7+h33Px4kU2bNhATk4O3bp14/jx4yxbtowdO3YAkJiYyJ///Gd8\nfX3R6/XMnDmTxx9/HCcnJ1JTU5k9ezbBwcFcvHiRmTNn8sgjj9j85d5isZCQkMCiRYsYNGgQ27Zt\nIz09neXLl3cY39ChQwkLCyM5Odmm7K233kKtVpOTk4Neryc6OpqgoCBcXV3x9fVlw4YNODs78/33\n3xMREcGAAQPo2bPnDfWTEEIIIYS4c920BdiBgYFoNBosFtsDtYODg7GzszYVEBBAdXU1ZrMZAJVK\nRX19PQCNjY2YTCblL/P79+9n/PjxALi6ujJq1Cg++eSTVtvfv38/EydOBMDf3x+NRkNRUZFNvb17\n9xIVFUVTUxMA8fHx5Obm2tRrjq85NoPBgKenp1KuUqkwGAxKHXd3d9RqtU1ZQ0MDjo6OuLq62rRR\nWlqKg4MDgwYNAmDChAkcOnQIo9HY6m+8mr+/P97e3q32d35+vtIX3t7eDB48mAMHDgDw0EMP4ezs\nDICnpyc9evSgqqqqw/aEEEIIIYS4Vqevmdi+fTvDhw9Xkot58+axZMkSdu3ahcFgYMaMGcoUqaqq\nKrRarfJdb29vTp48afPMuro6TCYT3bt3V+5ptdpWX5LHjBnD8ePHycjIQKvVYjKZmDZtmk09d3d3\nYmNjiYyMxM3NjcuXL5OamqqUL126lKVLl9K1a1cMBgMrV65URkEWL17MH//4R/7yl79QW1vLH/7w\nhxaxNausrGzx+5ycnHBxcaG6uhpvb29SUlIICQkhODi4w3692rX91lZfHD16FIPBwAMPPPCjni+E\nEEIIIQR0cjLx8ccfU1BQwLp165R7u3btYsyYMYSHh1NbW0tsbCz+/v4MGTLklsUxb948oqOjMRgM\nZGdnt1qnvr6e7du3s2nTJu69914OHTrEH//4R958803AevbCqlWrCAwMpKSkhPj4eN544w3c3NzI\ny8sjMjKS0aNHU1FRofymH7tAeeHChT/5t7blzJkzJCcns2zZMrp06XLL2hFCCCGEEL9cnZZM7Nu3\nj61bt5Kamkq3bt2U+zt37iQnJwewjgYMHz6coqIihgwZgpeXF5WVlQQEBACg1+vx8vKyebabmxv2\n9vbU1NQoIwBt1QWoqanBYDBgsVioq6trdQrSF198gaurK/feey9gnaqVnJyMXq/HYDBQXV1NYGAg\nYJ1y5OnpyalTp+jXrx8HDhxg6dKlAPTs2ZP+/ftz/Phxm2RCq9Wi1+uVzw0NDdTX11/XAuz2aLVa\nKisr6dGjh9IXDz/8sFL+7bffEh8fzyuvvMKDDz7Y8QMPAl9fcy/wh0sIIYQQQnSKvLw8Zd1xs9ra\n2p8pGqtOObQuPz+fzZs3k5KS0mLdAYCPjw+fffYZYH2ZLiwspHfv3gCEhoby/vvvYzabqaurIz8/\nn1GjRrXaRmhoKDqdDrDuplRdXa2sRbiayWRi1apVzJkzh+joaFasWKGsn7g2rtOnT3P+/HkAvvnm\nG8xmM15eXnh5eXH+/Hm+++47wLojVXl5Ob169cLV1RUnJye+/PJLwPoPXFxcjK+vr00bfn5+mEwm\nCgsLAdDpdAQHB+Po6Nhhn7bn6r6oqKigqKiIRx99FICzZ88SFxfHggULCAoKur4HPgL87ppLEgkh\nhBBCiE4VHh6OTqdrca1du/ZnjUmVn59vu4L3BqSlpXH48GFqampwc3PD2dmZrVu3AjB27Fg8PDxw\nc3PDYrGgUqlITU3F1dWV06dPs27dOhobGzEajYSEhBAREQFYF0Fv2LCBI0eOoFKpmDx5srI1bElJ\nCVu2bCExMRGwjjYkJCSg1+txdHQkJiam1WRi06ZN1NXVsXjxYgDWr1+P2WwmNjbWpu6OHTvQ6XQ4\nOjpib29PZGSk8gK+b98+cnNzsbOzw2w2M23aNEaPHg3AsWPHyMzMxGw209TUxPjx45kyZQpgTRjO\nnz/PrFmzAOvWsKmpqRiNRjQaDXFxcUrC1d6aiZycHHQ6HbW1tTg7O6NWq8nKysLd3Z3GxkZla1h7\ne/sWW8MuWrSI0tJStFqt8m8RGRnJ0KFDbdooLS1l7ty5MAloa5fdciDLuv7iupMTIYQQQghxUxw7\ndowhQ4aQmZmJn59fp7d/05IJ8csjyYQQQgghxO3t504mOmWakxBCCCGEEOKXp9O3hhX/hWqwjkC0\n5lxnBiKEEEIIIW4nkkyIjuX/cLWhq1NXNBpNp4UjhBBCCCFuD5JMiA7l5OTQv3//Nss1Gs2PPkND\nCCGEEEL895M1E0IIIYQQQogbIiMTokPTp09vt7yrU1dKiktkdEIIIYQQ4g4jyYTo2Cjg/jbKzkHj\njkbOnTsnyYQQQgghxB3mpiUT6enpHDx4kMrKSrKzs+nbt69SduHCBRITEykvL0etVhMTE8PAgdaD\nC15//XUOHDiAWq3GwcGB2bNn8/DDD7d4dk1NDXPmzGHAgAGsXLmy1fbba+NG/Otf/yIhIQGVSgXA\nxYsXuXTpErt27QLAaDSyceNGPv/8c9RqNX379mXJkiWA9QTu9PR0jEYjV65c4cknn+TZZ59ttZ0T\nJ06QlpbGlStX8PT0ZMmSJXh4eHQYX25uLnv27KGsrIyVK1cSEhKilF2+fFk5tM7Ozq7FoXU7duzg\nvffeQ6VSoVKpeOaZZxg7dmz7jXUHfDoMSQghhBBC3GFuWjIxcuRIwsPDmT9/vk1ZVlYWAQEBJCUl\nUVJSwtKlS8nLy8Pe3p6BAwfy3HPPoVar+ec//0lMTAzbt2+nS5cuyvfXrl3LI488Ql1dXZvtt9fG\njfD19SU7O1v5vH79eiWxaG5PpVIpp3zX1NQoZampqcyePZvg4GAuXrzIzJkzeeSRR2z+cm+xWEhI\nSGDRokUMGjSIbdu2kZ6ezvLlyzuMb+jQoYSFhZGcnGxT9tZbb6FWq8nJyUGv1xMdHU1QUBCurq74\n+vqyYcMGnJ2d+f7774mIiGDAgAH07Nnzx3aREEIIIYS4w920BdiBgYFoNBosFtsDtffv38/EiRMB\n8Pf3R6PRUFRUBMCwYcNQq9UA9OnTB7COMjTbvXs3PXv2ZMCAAe22314bV9u7dy9RUVE0NTUBEB8f\nT25ubrvPvnLlCnv37uVXv/oVAI2NjXzwwQe88MILSp3u3bsr/61SqTAYDAA0NDTg6OiIq6urzXNL\nS0txcHBg0KBBAEyYMIFDhw5hNBrbjaf5N3p7e7fa3/n5+UpfeHt7M3jwYA4cOADAQw89hLOzMwCe\nnp706NGDqqqqDtsTQgghhBDiWrd8N6e6ujpMJlOLl22tVtvqC+zu3bvx8fFBq9UCUFFRwbvvvsuc\nOXNuWhtjxozB39+fjIwM3nrrLUwmE9OmTWv3+X//+9/x8fFRpm6Vl5fj6upKTk4OUVFRxMTEcOzY\nMaX+4sWL+ctf/sKzzz7LzJkzeeGFF1rE1qyyslL5rQBOTk64uLhQXV0NQEpKCocOHWo3ttZUVVW1\neG5bfXH06FEMBgMPPPDAj25DCCGEEEKI22YB9tGjR9m6dSupqanKvTVr1hATE6OMXNws8+bNIzo6\nGoPB0GIqU1s++OADZVQCwGQyUVlZSe/evYmIiOD06dMsXLiQLVu20K1bN/Ly8oiMjGT06NFUVFQQ\nGxuLv7//j16gvHDhwh/9267XmTNnSE5OZtmyZS2mlAkhhBBCCHG9bnky4ebmhr29PTU1Ncpf5/V6\nPV5eXkqdwsJC1qxZQ2JiInfffTcA9fX1nDlzRllwfenSJS5fvszChQtJSUn50W1craamBoPBgMVi\noa6urtUpSM30ej0nT55ssfDby8sLOzs7xowZA0C/fv3o2bMnZ86coW/fvhw4cIClS5cC0LNnT/r3\n78/x48dtkgmtVoter1c+NzQ0UF9ff10LsNuj1WqprKykR48eym+4elH7t99+S3x8PK+88goPPvhg\nxw88CHx9zb3AHy4hhBBCCNEp8vLyyMvLa3Gvtrb2Z4rGqlNGJkJDQ9HpdMycOZPi4mKqq6uVdQJF\nRUWsXr2a1157DV9fX+U7Li4u7Ny5U/n84YcfcvDgwTZ3c2qvjauZTCZWrVrFnDlzUKvVrFixgoyM\nDBwcWu+K3bt38+ijj+Li4qLcc3d3JygoiM8++4zhw4dTUVGBXq+nd+/euLq64uTkxJdffslDDz1E\nbW0txcXF/Pa3v7V5tp+fHyaTicLCQgYPHoxOpyM4OBhHR8fr69g2NPdF//79qaiooKioiJdffhmA\ns2fPEhcXx4IFCwgKCrq+Bz4C3PjGWEIIIYQQ4iYIDw8nPDy8xb1jx44xZMiQnykiUOXn59uu4L0B\naWlpHD58mJqaGtzc3HB2dm6x01FCQgJ6vR5HR0diYmKUF/0ZM2Zw6dIlPDw8sFgsqFQq4uLiWiQW\nYJtMlJSUsGXLFhITEzts42qbNm2irq6OxYsXA9ZdmsxmM7GxsTZ1LRYL4eHhxMXF2TyroqKCNWvW\nUFtbi52dHTNnzuTRRx8FrP+omZmZmM1mmpqaGD9+PFOmTAFAp9Nx/vx5Zs2aBVi3hk1NTcVoNKLR\naIiLi8PT0xOwrpkICQkhODjYJracnBx0Oh21tbU4OzujVqvJysrC3d2dxsZGZWtYe3v7FlvDLlq0\niNLSUrRardLfkZGRDB061KaN0tJS5s6dC5NoO5koB7Ks09SuOzkRQgghhBA3RXMykZmZiZ+fX6e3\nf9OSCfHLI8mEEEIIIcTt7edOJm75bk5CCCGEEEKIX6bbZjcncRurwToC0ZpznRmIEEIIIYS4nUgy\nITqW/8PVhq5OXdFoNJ0WjhBCCCGEuD1IMiE6lJOTQ//+/dss12g0P/oMDSGEEEII8d9P1kwIIYQQ\nQgghboiMTIgOTZ8+vd3yrk5dKSkukdEJIYQQQog7jCQTomOjgPvbKDsHjTsaOXfunCQTQgghhBB3\nmJuWTKSnp3Pw4EEqKyvJzs6mb9++SllSUhKlpaXY2dnh4OBAREREizMJdu7cyc6dO7G3t8fOzo6M\njAzlFOiCggLefPNN5YC1hIQEtFqtTfsXLlwgMTGR8vJy1Go1MTExDBz4045tNhgMrFu3jpKSEhwc\nHAgODiYiIgIAo9HIxo0b+fzzz1Gr1fTt25clS5a0+P6xY8dYtGgR0dHRTJ48udU2Tpw4QVpaGleu\nXMHT05MlS5bg4eHRYWy5ubns2bOHsrIyVq5cSUhIiFJ2+fJl5dA6Ozu7FofW7dixg/feew+VSoVK\npeKZZ55h7Nix7TfWHfDpMCQhhBBCCHGHuWnJxMiRIwkPD2f+/Pk2ZS+++CIuLi4AnD59mgULFrBr\n1y4APv30U/bt28fGjRtxcnKitrYWBwdrWKdOnWLz5s2kpaXRo0cPGhoasLe3b7X9rKwsAgICSEpK\noqSkhKVLl5KXl9dm/euRnJxMYGAg8fHxgPWU7avbU6lULU75vlp9fT3Z2dmMGDGizedbLBYSEhJY\ntGgRgwYNYtu2baSnp7N8+fIOYxs6dChhYWEkJyfblL311luo1WpycnLQ6/VER0cTFBSEq6srvr6+\nbNiwAWdnZ77//nsiIiIYMGAAPXv2vJ4uEUIIIYQQQnHTFmAHBgai0WiwWGwP1G5OJMD61/6rbdu2\njZkzZ+Lk5ASAu7s7KpUKgLfffpupU6fSo0cPAJycnFCr1a22v3//fiZOnAiAv78/Go2GoqIim3p7\n9+4lKiqKpqYm+P/s3XtclGX6+PHPcEpAIHFg0AqPwUqLKFaCZnjAtpPuapaxaloGEpSieQjIPCWE\nAZtirMBWZvBls9VVOmitBVQL6qYrXwuB/JpW4kDAODAIMgzz+4N8fuIMYFbortf79ZrXNs99P/d9\nPY/7x1zcJyA+Pp6cnByLeqdPn6aiooKHH35YudanTx8Ampub2bNnD08++aRF2QUbN27ksccew9XV\n1Wq80H7CtJ2dHQEBAQBMmTKF4uJijEZjp/dc4Ovri5eXl9X3nZ+fr7wLLy8vRowYwWeffQbAyJEj\ncXJyAsDDwwN3d3eqq6u77U8IIYQQQohL9diaiaysLAoKCjAYDKxZs0a5furUKcrKyti6dSutra1M\nnjyZ6dOnA3Dy5Em8vLyIiYnh3LlzBAUF8fjjjyvJxgX19fWYTKYOP+g1Go3VH8mhoaEcPXqU9PR0\nNBoNJpOJWbNmWdQ7deoUarWa1NRUysvLcXNzIyIigqFDh1JZWYmLiwvZ2dkcOnSIG264gblz5ypT\ntwoLC7G1tSU4OJhPP/2003dSVVXVYcqWo6Mjzs7O1NbW4uXlRXJyMmPHjiU4OPgy33K76urqDu12\n9i4OHTqEwWDgN7/5zU9qXwghhBBCCOjBrWHDw8PJyclh1apVZGRkYDKZADCZTGi1WjZt2sRLL73E\nu+++y/79+5Wy48eP8/LLL7Np0ya++uorZXrUzxEdHc3//u//8ve//12ZwnQpk8nEsWPHmDRpEhkZ\nGcyYMYPY2FhMJhMmk4mqqioGDhzIli1beOaZZ1i7di1nz56lrq6O7Oxsnn766Z8d59KlS39yInG5\nTpw4wYYNG1i1ahU33HDDr9KHEEIIIYT479bjuzkFBgZy7tw5Tpw4wa233opGo2HSpEmoVCrc3NwY\nPXo0paWlBAUFodFouPvuu7G3t8fe3p5x48ZRWlrKH/7whw5turq6Ymtri06nU0YntFotnp6eVmPQ\n6XQYDAbMZjP19fW4uLhY1PH09MTDw0OZgnTnnXfS2tpKVVUVnp6e2NjYEBoaCsDQoUPp168fJ06c\noKWlhbq6OsLDwzGbzej1eoqKitDr9TzxxBMd+tBoNGi1WuV7U1MTjY2Nl7UAuysajYaqqiplephW\nq+WOO+5Qyk+ePEl8fDwrVqzgtttu677BIuDLS675//gRQgghhBA9Ijc3l9zc3A7X9Hr9VYqm3a+e\nTFwYebjpppsAOHbsGGfPnlUW/E6aNIkDBw4wYsQIzp8/T0lJCY8++qhSVlRUxO9+9zva2tr44osv\nOt2hKSQkhLy8PObOnUtZWRm1tbVKInBpPOvWrWP+/Pk4ODiwZs0a0tPTlUXfF/j6+uLs7MyJEycY\nPHgwx44dA9qTDDs7OwIDAzl48CCjR4/mzJkzaLVaBgwYQN++fdmxY4fSTlJSEkOHDrW6m5OPjw8m\nk4kjR44wYsQI8vLyCA4OVnayulIX3sWwYcM4c+YMJSUlLF68GGifvhUbG8uzzz7bYUetLo0Bft7G\nWEIIIYQQ4mcKCwsjLCysw7XDhw8zatSoqxQRqPLz8y1X8F6B1NRU9u/fj06nw9XVFScnJ9566y3O\nnz/P0qVLOXfuHDY2Njg6OvLEE08wYsQIAFpaWkhNTaWsrAwbGxtCQkKYO3cu0L7bUUZGBvv378fW\n1hZ/f3+eeeYZbG1tKS8vZ+vWrSQmJgLtow0JCQlotVrs7e1ZtGiR1WRiy5Yt1NfXs3z5cgA2bdpE\nW1sbMTExFnW//vpr/vSnP9HS0oK9vT1RUVH4+7f/Of7MmTO8/PLL6PV6bGxsmDt3LnfddZdFG5cm\nE3l5edTV1TFv3jygfWvYlJQUjEYjarWa2NhYPDw8ALpcM5GdnU1eXh56vR4nJyccHBzIzMzEzc2N\n5uZmZWtYW1vbDlvDLlu2jIqKCjQajbLdbkREBLfffrtFHxUVFSxYsACm03kyUQlktq+/uOzkRAgh\nhBBC/CIuJBMZGRn4+Pj0eP+/WDIh/vtIMiGEEEIIcW272slEjy3AFkIIIYQQQvx36fEF2OI/kI72\nEQhranoyECGEEEIIcS2RZEJ0L//HTyd6OfZCrVb3WDhCCCGEEOLaIMmE6FZ2djbDhg3rtFytVuPt\n7d2DEQkhhBBCiGuBrJkQQgghhBBCXBEZmRDdmj17dpflvRx7UV5WLqMTQgghhBDXGUkmRPcmALd2\nUlYDzTubqampkWRCCCGEEOI684slE2lpaRQVFVFVVUVWVhZDhgyxqHP48GGWLVtGVFSUxYnQp06d\nIjIykgcffJDo6Gig/dC6tLQ0Dhw4gI2NDdOnT2fatGlW+z979iyJiYlUVlbi4ODAokWLOj0t+3J8\n8803JCQkoFKpAGhoaODcuXPs3r2b+vp6nn32WaWsubmZyspKdu3aRe/evYmKiqK1tRWA1tZWTp48\nyWuvvcagQYMs+iktLSU1NZWWlhY8PDyIi4ujb9++3caXk5PDhx9+yOnTp1m7di1jx45Vys6fP68c\nWmdjY9Ph0Lqf8k4VfYD+l/PWhBBCCCHE9eQXSybGjx9PWFgYCxcutFre2NhIVlYWQUFBFmUmk4nU\n1FTGjRvX4fpHH33Et99+S05ODg0NDYSHhxMYGMiAAQMs2sjMzMTPz4+kpCTKy8tZuXIlubm52Nra\nXtHzDBo0iKysLOX7pk2blOTB1dW1Q9n27dspKSmhd+/eAKSnpytlhYWFbNu2zWoiYTabSUhIYNmy\nZQQEBLB9+3bS0tJYvXp1t/HdfvvtTJo0iQ0bNliUvf322zg4OJCdnY1WqyUqKorAwEBcXFx+0jsV\nQgghhBCiK7/YAmx/f3/UajVms/UDtTdu3Mhjjz2Gq6urRdmbb77J+PHjuemmmzpcLygo4IEHHgDA\nxcWFCRMm8PHHH1ttv6CggKlTpwLg6+uLWq2mpKTEot6+ffuIjIxURg7i4+PJycnp8tlaWlrYt28f\n999/v9XyDz74QInzUnv27On0voqKCuzs7AgICABgypQpFBcXYzQau4wH2p/Ry8vL6vvOz89X3oWX\nlxcBAQF89tlnwE97p0IIIYQQQnSlR3ZzKiwsxNbWluDgYIuy0tJSjh07ZnWqTXV1NRqNRvnu5eVF\ndXW1Rb36+npMJlve/FMAACAASURBVBN9+vRRrmk0Gqt1Q0ND8fX1JT09nbfffhuTycSsWbO6jP/T\nTz+lf//+VqduffnllxgMBqsjLtXV1ZSUlDB58mSr7VZVVXV4PkdHR5ydnamtrQUgOTmZ4uLiLmOz\npqv3drnvVAghhBBCiO786guw6+rqyM7O5pVXXrEoO3/+PBs3bmTNmjW/dhgdREdHExUVhcFg6DBd\nqTNdjS7s2bOHe+65Bxsby7zsww8/JDg42OpozOVYunTpFd0nhBBCCCFET/jVk4mKigrq6uoIDw/H\nbDaj1+spKipCr9czYcIEfvjhB5YsWYLZbMZgMCj/u2LFCjw9PamqqsLPzw8ArVaLp6enRR+urq7Y\n2tqi0+mU0YnO6gLodDqlr/r6elxcXDqNX6vVcuzYMdauXWtR1tTUREFBAVu2bLF67969e1myZEmn\nbWs0GrRabYf2GhsbL2sBdlc0Gg1VVVW4u7srz3DHHXcAXPY77aAI+PKSa/4/foQQQgghRI/Izc0l\nNze3wzW9Xn+Vomn3qycTQUFB7NixQ/melJTE0KFDld2cdu7cqZS9+eabGAwGZTenkJAQ3n//fUJC\nQjAYDOTn55OYmGi1n5CQEPLy8pg7dy5lZWXU1tYqaxEuZjKZWLduHfPnz8fBwYE1a9aQnp6OnZ31\nV/HBBx9w11134ezsbFH2ySefMHToUG655RaLskOHDmEymRg1alSn78bHxweTycSRI0cYMWIEeXl5\nBAcHY29v3+k9l+PCuxg2bBhnzpyhpKSExYsXK2WX+04VY4Ar3xhLCCGEEEL8AsLCwggLC+tw7fDh\nw13+3vy1/WJrJlJTU3nkkUeoqalh+fLlzJkz52e3ec899+Dt7c2cOXOIiopi5syZyq5I5eXlxMbG\nKnUjIiL48ssvmTNnDhs2bCA+Pt7qTk5ZWVl4e3szefJkQkJC+O1vf8vmzZut9m82m/noo486XVy9\nd+/eLqc/3XfffRbX8/Ly2Lp1KwAqlYq4uDjS0tJ47LHHOHDggJJIQddrJrKzs3nkkUcoLS0lOTmZ\nmTNnKpnpzJkzOX/+PLNmzWLFihUsWrRImWrV1TsVQgghhBDip1Dl5+db335JXPcqKipYsGABTKfz\nkYlKILN9JCYwMLAHoxNCCCGEEBdGJjIyMvDx8enx/ntkNychhBBCCCHEf59ffc2E+C+go30Ewpqa\nngxECCGEEEJcSySZEN3L//HTiV6OvVCr1T0WjhBCCCGEuDZIMiG6lZ2dzbBhwzotV6vVeHt792BE\nQgghhBDiWiBrJoQQQgghhBBXREYmRLdmz57dZXkvx16Ul5XL6IQQQgghxHVGkgnRvQnArZ2U1UDz\nzmZqamokmRBCCCGEuM70SDKRlpZGUVERVVVVZGVlMWTIEKUsJiaG6upqevfuDbQfqjZjxgwAXnvt\nNYqKirCxsUGlUvHoo48yceJEoP3k7Pfeew+VSoVKpWLmzJlMnjzZav9nz54lMTGRyspKHBwcWLRo\nEcOH/7wjnffu3cs777yjxDZ//nxGjx5NfX09zz77LCqVCoDm5mYqKyvZtWsXvXv3JioqitbWVgBa\nW1s5efIkr732mtWD40pLS0lNTaWlpQUPDw/i4uLo27dvt7GVlZXx6quv0tTUhI2NDU899RQjR44E\n2k8g/+KLL+jTpw8Ao0aNaj9Loit9gP4/4eUIIYQQQojrQo8kE+PHjycsLIyFCxdalKlUKp5++mnG\njBljUfboo48yf/58AGpqapg3bx633347rq6uDBo0iM2bN+Pk5MQPP/xAeHg4v/3tb+nXr59FO5mZ\nmfj5+ZGUlER5eTkrV64kNzfX6gnZl6OhoYHNmzeTnZ3NjTfeyNGjR1m1ahU7d+7E1dWVrKwspe72\n7dspKSlRkqX09HSlrLCwkG3btllNJMxmMwkJCSxbtoyAgAC2b99OWloaq1ev7ja+F154gdjYWEaO\nHMn333/P0qVL2bZtGw4ODkD7e33ooYeu6NmFEEIIIYS4oEcWYPv7+6NWqzGbrR+23dbWZvW6s7Oz\n8t/nzp0DUNoYOXIkTk5OAHh4eODu7k51dbXVdgoKCpg6dSoAvr6+qNVqSkpKLOrt27ePyMhIZeQg\nPj6enJycTuNtbGwEwGAw4OHhYbXvDz74gAceeMBq2Z49e7j//vutllVUVGBnZ0dAQAAAU6ZMobi4\nGKPRaLX+BXq9Hr1er4xE3HzzzTg7O3Pw4EGlTmf/DkIIIYQQQvwU18SaiczMTN544w0GDhzIk08+\n2WF0YefOnezatYuamhqWLl2Km5ubxf2HDh3CYDDwm9/8xqKsvr4ek8mkTOsB0Gg0VhOP0NBQjh49\nSnp6OhqNBpPJxKxZsyzqubm5ERMTQ0REBK6urpw/f56UlBSLel9++SUGg4GgoCCLsurqakpKSoiL\ni7P6TqqqqtBoNMp3R0dHnJ2dqa2txcvLi+TkZMaOHUtwcLBFbH379qWwsJCQkBDKysr47rvv0Gq1\nSp2dO3eyZ88evLy8ePzxxxk6dKjVGIQQQgghhOjKVU8m4uLilL/q//3vfyc2NpatW7cq5dOnT2f6\n9OmcOHGC9evXc8cdd+Di4qKUnzhxgg0bNrBq1SpuuOGGnx1PdHQ0UVFRGAyGDtOVLtbY2MiOHTvY\nsmULt9xyC8XFxTz//PNs2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mOX9+n1evR6vTIScfPNN+Ps7MzBgwcBGDx4MN7e3qhUqm5j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\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VlZeXd1A0jTp807pJkybx5ZdfAo2fJOXm5iqfMnl4eHDmzBmg8WX6/Pnz9OvXD4Dx48fz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\nAQAAAMASwgQAAAAASwgTAAAAACz5P8Bm2Hfzen3IAAAAAElFTkSuQmCC\n",
737      "text/plain": [
738       "<matplotlib.figure.Figure at 0x7f5e44bd79d0>"
739      ]
740     },
741     "metadata": {},
742     "output_type": "display_data"
743    }
744   ],
745   "source": [
746    "subset = 75\n",
747    "windata_subset = windata[0:subset]\n",
748    "other_count = sum([x.numWindows for x in windata[subset:]])\n",
749    "windata_subset.append(SpecialUserResolutionData('Other', other_count))\n",
750    "\n",
751    "import numpy as np\n",
752    "\n",
753    "y = [str(i) for i in windata_subset]\n",
754    "y_pos = np.arange(len(y))\n",
755    "x = [i.numWindows for i in windata_subset]\n",
756    "\n",
757    "import matplotlib.pyplot as plt\n",
758    "\n",
759    "plt.rcdefaults()\n",
760    "fig_size = plt.rcParams[\"figure.figsize\"]\n",
761    "fig_size[1] *= 3\n",
762    "plt.rcParams[\"figure.figsize\"] = fig_size\n",
763    "fig, ax = plt.subplots()\n",
764    "\n",
765    "ax.barh(y_pos, x, align='center',\n",
766    "        color='green', ecolor='black')\n",
767    "ax.set_yticks(y_pos)\n",
768    "ax.set_yticklabels(y, fontsize=8)\n",
769    "ax.invert_yaxis()  # labels read top-to-bottom\n",
770    "ax.set_xlabel('Number of Windows')\n",
771    "ax.set_title('Number of Windows per Resolution (OS = Windows)')\n",
772    "plt.show()"
773   ]
774  },
775  {
776   "cell_type": "markdown",
777   "metadata": {},
778   "source": [
779    "# We'll also graph the Width and Height Commonality Separately"
780   ]
781  },
782  {
783   "cell_type": "code",
784   "execution_count": 7,
785   "metadata": {},
786   "outputs": [],
787   "source": [
788    "# This function takes a string like '45x56' and returns a tuple of floats: (45, 56)\n",
789    "def graphDimension(dimension, label):\n",
790    "    # First go through windata and separate out the horizontal resolution and tally up the number of windows with it\n",
791    "    subset = 75\n",
792    "    windata_dim_subset = {}\n",
793    "    for w in windata:\n",
794    "        if w[dimension] in windata_dim_subset:\n",
795    "            windata_dim_subset[w[dimension]] += w.numWindows\n",
796    "        else:\n",
797    "            windata_dim_subset[w[dimension]] = w.numWindows\n",
798    "\n",
799    "    windata_dim_subset = sorted(windata_dim_subset.items(), key=lambda x: x[1], reverse=True)\n",
800    "\n",
801    "    # Now, sligtly differently from above, get the top 75 and bucket everything else in 'Other'\n",
802    "    other_count = sum([x[1] for x in windata_dim_subset[subset:]])\n",
803    "    windata_dim_subset = windata_dim_subset[:subset]\n",
804    "    windata_dim_subset.append(('Other', other_count))\n",
805    "\n",
806    "    # Now graph it the same way\n",
807    "    y = [i[0] for i in windata_dim_subset]\n",
808    "    y_pos = np.arange(len(y))\n",
809    "    x = [i[1] for i in windata_dim_subset]\n",
810    "\n",
811    "    plt.rcdefaults()\n",
812    "    fig_size = plt.rcParams[\"figure.figsize\"]\n",
813    "    fig_size[1] *= 3\n",
814    "    plt.rcParams[\"figure.figsize\"] = fig_size\n",
815    "    fig, ax = plt.subplots()\n",
816    "\n",
817    "    ax.barh(y_pos, x, align='center',\n",
818    "            color='green', ecolor='black')\n",
819    "    ax.set_yticks(y_pos)\n",
820    "    ax.set_yticklabels(y, fontsize=8)\n",
821    "    ax.invert_yaxis()  # labels read top-to-bottom\n",
822    "    ax.set_xlabel('Number of Windows')\n",
823    "    ax.set_title('Number of Windows per ' + label + ' Resolution (OS = Windows)')\n",
824    "    plt.show()"
825   ]
826  },
827  {
828   "cell_type": "code",
829   "execution_count": 8,
830   "metadata": {},
831   "outputs": [
832    {
833     "data": {
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T07V161ZVr17d6ZZ+f0VoaKhMJpN++eWXQr+g99xzj9asWaMjR47Yx+G5cj22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5zGq10tbWRk9Pj+9Lgsvlwmq1nnzSasDkfZubm4vZbMZms2Gz2U47PhERERH5ZhwOBw6Ho89Y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\nRNzU/wOhSowsGOGnkgAAAABJRU5ErkJggg==\n",
835      "text/plain": [
836       "<matplotlib.figure.Figure at 0x7f5e4c039450>"
837      ]
838     },
839     "metadata": {},
840     "output_type": "display_data"
841    }
842   ],
843   "source": [
844    "graphDimension(0, 'Horizonatal')"
845   ]
846  },
847  {
848   "cell_type": "code",
849   "execution_count": 9,
850   "metadata": {},
851   "outputs": [
852    {
853     "data": {
854      "image/png": 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mJiQkQK1W48KFCzpB3dvbG9HR0bh27dpT9ZevjZru//W9pzbfJxMTE7Ru3RoJ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wOBwkJycDkJSUREZGBlu2bMFsNpOSknJ1H1BEREREegTDzp07O96aRbpVSUkJ8+fPh2lc+sx8\nGZADe/fuJSIi4gpWJyIiIiJfz8yvX7+e0NDQq/rZ2s1GRERERMRDaZmNp6jiwoz7pai4koWIiIiI\nyHeFwryn2HnxuEQmbxMWi+WKlSMiIiIi3U9h3kPk5uYSFhZ2yf0tFov7LbYiIiIi0jNpzbyIiIiI\niIfSzLyHSExM7FJ/k7eJ4qJizc6LiIiI9GAK857iVmDUJfatgIZtDVRUVCjMi4iIiPRgCvNtOHfu\nHNnZ2fz973+nX79+3HDDDTz22GPu64WFhSxZsoQHH3yQu+++G4CMjAw+/vhj/P39AYiMjLywP3wb\nSktLSUtLo7a2FrPZTGpqKsHBwR0X5Q90/hJaEREREelFFObbkJOTg8Fg4M033wSgqqrKfe3UqVNs\n2LCBiRMntrpvxowZ7nDfkczMTOLj44mNjcVut5Oenk52dvblewARERER6RX0A9gWGhoayMvLY86c\nOe62r2fbAV588UV+8YtfMGjQoFb3NjV1/jLd6upqSkpKiImJASA6Ohqn00lZ2aVuIi8iIiIicoFm\n5lsoKyvDx8eH3Nxc9u7dS//+/Zk5cyYRERHY7Xa8vLyYNGkSf/7zn1vdu23bNvLy8hg2bBj3338/\nISEhrfo4nU4CAgIwGr/5HmW1WnE6nYwYoXU0IiIiInLpFOZbaGxs5Pjx41x33XXMnTuXw4cPk5yc\nzPr168nNzWXNmjVt3jdnzhwCAgIA2L17N6mpqeTm5mIyma5m+SIiIiLSiyjMt2C1WjEaje5lMCEh\nIQwfPpzPP/+cEydOMHfuXJqamqipqcHhcFBTU8MDDzzgDvIAP/jBD8jJyeHLL79k1KhRrcavrKzE\n5XK5Z+edTidWq7XjwhzAgRZt4RcPEREREbkqbDYbNputWVtNTU03VaMw34qvry8RERHs2bOHCRMm\ncOzYMcrLyxk9ejRvvfWWu19GRgYhISHuH7x+9dVXDBkyBICDBw9y8uRJrrnmmlbj+/n5ERoaSn5+\nPnFxcdjtdqxWa+dLbKKAsZftMUVERETkW0hISCAh5OjnCAAAIABJREFUIaFZW2FhIZGRkd1Sj8J8\nG5KSknj++efJycnBaDSyePHiZjPvbcnIyKCqqgqj0Uj//v1Zvnw5AwYMAMDhcOBwOEhOTnaPn5GR\nwZYtWzCbzaSkpFzxZxIRERGRnkdhvg3Dhw9n9erVHfZ59NFHm52/8MIL7faNiooiKirKfR4YGEhW\nVtZ/VqSIiIiI9HramlJERERExENpZt5TVAGXuhV9xZUsRERERES+KxTmPcXOi8clMnmbsFgsV6wc\nEREREel+CvMeIjc3l7CwsEvub7FYCAoKuoIViYiIiEh3U5jvYRTiRURERHoPhXkPkZiYeEn9TN4m\niouKFehFREREegGFeU9xKzCqkz4V0LCtgYqKCoV5ERERkV5AYb4DeXl5PP/88zz99NP8z//8D4cO\nHSIrK4tz585x9uxZ4uLimDFjhrv/9u3b2b59O15eXhiNRl555RX69u3batzS0lLS0tKora3FbDaT\nmppKcHBwx8X4A528JFZEREREeheF+XaUl5fzf//3f4wZM8bdtnr1ah544AEmTZrEyZMnmTlzJlFR\nUQQFBbF7924KCgrIzs7G29ubmpoa+vRp+8+bmZlJfHw8sbGx2O120tPTyc7OvlqPJiIiIiI9hF4a\n1YampiZeeOEFFixY0Gxm3WAwUFdXB0B9fT19+/bFx8cHgK1btzJz5ky8vb0B8PX1xWAwtBq7urqa\nkpISYmJiAIiOjsbpdFJWdqmbyIuIiIiIXKCZ+Tb87ne/Izw8nFGjmi9ST0lJ4YknnuC1116jpqaG\nRYsW4e/vD8DRo0cpKipi06ZNnD9/nttvv51p06a1GtvpdBIQEIDR+M33KKvVitPpZMQIraMRERER\nkUunMN/CF198wZ///GdefPHFVtdsNhvz5s3jtttu49ixYyxcuJDRo0cTFBREY2Mj5eXlvPTSS9TW\n1rJw4UJGjBjBxIkTu+EpRERERKQ3UJhvYf/+/Rw/fpyf//znNDU1ceLECTIzMzly5Ai7d+9m2bJl\nAAwfPpywsDD2799PUFAQVquVKVOmYDAY8PX1ZcKECRw8eLBVmLdarVRWVuJyudyz806nE6vV2nFh\nDuBAi7bwi4eIiIiIXBU2mw2bzdasraamppuqUZhvJT4+nvj4ePd5UlISP/3pT5k4cSK///3v+eST\nTxg/fjw1NTUUFRVx7733AhATE8NHH33EuHHjOHPmDPv27Wu2083X/Pz8CA0NJT8/n7i4OOx2O1ar\ntfMlNlHA2Mv5pCIiIiLSVQkJCSQkJDRrKywsJDIyslvqUZjvhMFgoKmpCaPRyFNPPcW6detwuVyc\nP3+e6dOnExYWBsD06dNZvXo1s2bNwmg0Eh0dTXR0NAAOhwOHw0FycjJw4QtCRkYGW7ZswWw2k5KS\n0m3PJyIiIiKey7Bz586m7i5C2ldSUsL8+fNhGp3PzJcBObB3714iIiKuQnUiIiIi8vXM/Pr16wkN\nDb2qn62tKUVEREREPJSW2XiKKi7MvHek4moUIiIiIiLfFQrznmLnxaMTJm8TFovlipcjIiIiIt1P\nYd5D5Obmun9s2xGLxUJQUNBVqEhEREREupvWzIuIiIiIeCjNzHuIxMTES+pn8jZRXFSs2XkRERGR\nXkBh3lPcCozqpE8FNGxroKKiQmFeREREpBdQmG+htraWxYsXYzAYAGhoaODYsWO8/fbbvPzyy/zj\nH/+gf//+eHt789BDDzF69GgAzpw5w3PPPUdxcTFGo5HZs2e7XxrVUmlpKWlpadTW1mI2m0lNTSU4\nOLjjwvyBTl4SKyIiIiK9i8J8C4MGDWLDhg3u861bt7Jv3z4GDhzI5MmTWbJkCUajkb/97W8sX74c\nm80GwG9/+1v69etHbm4u5eXlPPjgg0RERODj49PqMzIzM4mPjyc2Nha73U56ejrZ2dlX7RlFRERE\npGfQD2A78d5773HnnXcCMGnSJIzGC3+yMWPGUFlZicvlAmDnzp3Ex8cDMGzYMMaNG8df/vKXVuNV\nV1dTUlJCTEwMANHR0TidTsrKOttEXkRERESkOYX5Dhw4cIC6ujomTpzY6tpbb73FhAkT3OHe6XQy\ndOhQ9/WhQ4fidDpb3ed0OgkICHDfB2C1WtvsKyIiIiLSES2z6UBeXh6xsbHNgjfABx98gN1u58UX\nX+ymykREREREFObbVV9fz65du1i3bl2z9oKCAt58800yMzPx8/Nztw8dOpTjx48zePBgAMrLy7np\npptajWu1Wt3Lc/59Vt9qtXZckAM40KIt/OIhIiIiIleFzWZz/2byazU1Nd1UjcJ8uwoKCggJCSEw\nMNDdtnPnTl5//XUyMzMZMmRIs/7R0dG8++67hIWFcezYMfbt20dSUlKrcf38/AgNDSU/P5+4uDjs\ndjtWq5URIzrZqiYKGHs5nkxEREREvq2EhAQSEhKatRUWFhIZGdkt9SjMt2PHjh1MnTq1Wduzzz5L\nQEAATzzxBE1NTRgMBjIzM/Hx8eHee+/lueee47777sPLy4sFCxYwaNAgABwOBw6Hg+TkZACSkpLI\nyMhgy5YtmM1mUlJSrvrziYiIiIjnU5hvx9q1a1u1ffDBB+32N5lMPPnkk21ei4qKIioqyn0eGBhI\nVlbWf16kiIiIiPRq2s1GRERERMRDaWbeU1QBnW1FX3E1ChERERGR7wqFeU+x8+LRCZO3CYvFcsXL\nEREREZHupzDvIXJzcwkLC+u0n8ViISgo6CpUJCIiIiLdTWvmRUREREQ8lGbmPURiYuIl9TN5mygu\nKtbsvIiIiEgvoDDvKW4FRnXSpwIatjVQUVGhMC8iIiLSCyjMt1BbW8vixYsxGAwANDQ0cOzYMd5+\n+21efvllSkpKMBqN9OnTh7lz5xIREeG+d/v27Wzfvh0vLy+MRiOvvPIKffv2bfUZpaWlpKWlUVtb\ni9lsJjU1leDg4I4L8wc6eUmsiIiIiPQuCvMtDBo0iA0bNrjPt27dyr59+xg4cCAPP/wwZrMZgMOH\nD7N48WLeeecdAHbv3k1BQQHZ2dl4e3tTU1NDnz5t/3kzMzOJj48nNjYWu91Oeno62dnZV/7hRERE\nRKRH0Q9gO/Hee+9x5513AriDPEBdXV2zflu3bmXmzJl4e3sD4Ovr657d/3fV1dWUlJQQExMDQHR0\nNE6nk7KyzjaRFxERERFpTjPzHThw4AB1dXVMnDjR3bZhwwZ27dpFXV0dK1ascLcfPXqUoqIiNm3a\nxPnz57n99tuZNm1aqzGdTicBAQEYjd98j7JarTidTkaM0DoaEREREbl0CvMdyMvLIzY2tlnwnjt3\nLnPnzqWwsJD169eTlZWFl5cXjY2NlJeX89JLL1FbW8vChQsZMWJEsy8CIiIiIiKXk8J8O+rr69m1\naxfr1q1r83pERASnT5/myJEjjBo1iqFDhzJlyhQMBgO+vr5MmDCBgwcPtgrzVquVyspKXC6X+0uC\n0+nEarV2XJADONCiLfziISIiIiJXhc1mw2azNWurqanppmoU5ttVUFBASEgIgYGBAO6Z92uuuQaA\nQ4cOUV1dzfDhwwGYMmUKH330EePGjePMmTPs27ePGTNmtBrXz8+P0NBQ8vPziYuLw263Y7VaO19i\nEwWMvayPKCIiIiJdlJCQQEJCQrO2wsJCIiMju6Uehfl27Nixg6lTp7rPz58/T3p6OqdPn8ZoNOLt\n7c2KFSsYOHAgANOnT2f16tXMmjULo9FIdHQ00dHRADgcDhwOB8nJyQAkJSWRkZHBli1bMJvNpKSk\nXP0HFBERERGPpzDfjrVr1zY779+/f6u2f9evXz9SU1PbvBYVFUVUVJT7PDAwkKysrMtTqIiIiIj0\nWtqaUkRERETEQ2lm3lNUAZ1tRV9xNQoRERERke8KhXlPsfPi0QmTtwmLxXLFyxERERGR7qcw7yFy\nc3MJCwvrtJ/FYiEoKOgqVCQiIiIi3U1r5kVEREREPJRm5j1EYmLiJfUzeZsoLirW7LyIiIhIL6Aw\n7yluBUZ10qcCGrY1UFFRoTAvIiIi0gsozLdhz549bNy4kfPnz2MymVi0aBHXX389CxcuxOl0ul8U\nFRsby/Tp05vde/ToUX75y18ydepUHnrooTbHLy0tJS0tjdraWsxmM6mpqQQHB3dclD/QyUtiRURE\nRKR3UZhvoa6ujlWrVrF27VqCgoLYv38/zzzzDBs3bsRgMPDwww83ewHUv2tsbGT16tXcfPPNHX5G\nZmYm8fHxxMbGYrfbSU9PJzs7+0o8joiIiIj0YPoBbAulpaX4+vq6l6mEh4fjdDr57LPPAHC5XO3e\nu3nzZm655RauueaadvtUV1dTUlJCTEwMANHR0TidTsrKOttEXkRERESkOYX5Fq699lpqa2s5ePAg\nAH/961+pr6/n+PHjAOTk5DB79myefvppjh075r7v4MGDHDp0iLvuuqvD8Z1OJwEBARiN3/zprVYr\nTqfzCjyNiIiIiPRkWmbTgtlsZvny5eTk5NDQ0MCYMWMIDg7Gy8uLxx57jCFDhgDw9ttvs3TpUjZt\n2sSZM2d48cUXWbFiRTdXLyIiIiK9icJ8G8aNG8eaNWsAOHfuHHfffTfBwcHuIA9w1113sW7dOk6e\nPElFRQVfffUVixYtoqmpibq6Ovc/H3300WZjW61WKisrcblc7tl5p9OJ1WrtuCgHcKBFW/jFQ0RE\nRESuCpvNhs1ma9ZWU1PTTdUozLfpxIkTDB48GIA33niDiIgIhg0bRlVVFf7+/gDY7XYGDx6Mj48P\nPj4+bNu2zX3/5s2bqaura3M3Gz8/P0JDQ8nPzycuLg673Y7VamXEiE62qokCxl62RxQRERGRbyEh\nIYGEhIRmbYWFhURGRnZLPQrzbdi4cSP79+/H5XIxZswYlixZwtmzZ1m6dCnnzp3DYDDg5+fHqlWr\nLmk8h8OBw+EgOTkZgKSkJDIyMtiyZQtms5mUlJQr+TgiIiIi0kMpzLfh69Dd0rp16y7p/pkzZzY7\nj4qKaradZWBgIFlZWd++QBERERERtJuNiIiIiIjH0sy8p6gCOtuKvuJqFCIiIiIi3xUK855i58Wj\nEyZvExaL5YqXIyIiIiLdT2HeQ+Tm5hIWFtZpP4vF4n57rYiIiIj0bFozLyIiIiLioTQz7yESExMv\nqZ/J20RxUbFm50VERER6AYV5T3ErMKqTPhXQsK2BiooKhXkRERGRXqDLYX7GjBn079+ffv36YTAY\n+NnPfsYtt9zCoUOHyMrK4ty5c5w9e5a4uDhmzJjR7N6jR4/yy1/+kqlTp7b5dlSAJUuWUFVVhcFg\nYMCAATzyyCOEhIQAkJGRQUlJCUajkT59+jB37lwiIiIAeO2113A4HBiNRgwGAzNmzOC2224DYPv2\n7fzhD3/AaDTicrm48847mTZtGgDFxcWsXbuWzz//nJtuuomVK1e6a/nkk0/IycmhoaEBg8HAxIkT\nmTdvnvv6b37zG/Lz82lqaiIwMJBHH30Us9kMwI4dO/jd737nrmf27NlMmDABgA8//JCNGzfS1NSE\ny+Xinnvu4Y477uj4D+8PdPKSWBERERHpXboc5o1GI0899RTXX399s/bVq1fzwAMPMGnSJE6ePMnM\nmTOJiopyzxA3NjayevVqbr755g7HX758uTsQ7969m/T0dF599VUAHn74Yfe1w4cPs3jxYt555x3g\nwpeM2bNnA1BRUcGsWbO48cYbGTRoELGxsfzkJz8BoL6+nvvvv5+xY8cSEhJCQEAAjzzyCJ999hl7\n9uxpVouPjw9PPfUUw4YN49y5cyxevJj333+fO+64g48//pj333+f7OxsTCYTubm5vPrqqyxYsICT\nJ0+SlZVFbm4ufn5+7N+/n6eeeopt27YBkJaWxpo1axg5ciTl5eXMnDmTyZMn4+3t3dX/HCIiIiLS\ni3X5B7BNTU00NTW1ajcYDNTV1QEXAnPfvn3x8fFxX9+8eTO33HIL11xzTYfjfx3WAerq6jAaje1e\na+++06dPu2sFGDBgQLNrjY2N7nOLxcLo0aPp06f195qQkBCGDRsGQN++fQkJCaG8vByAI0eOEB4e\njslkAmDChAl88MEHALhcLgBOnTrlrnXIkCHucf/9b3Xq1Cl8fX3p169fR38WEREREZFWvtWa+Wef\nfRaAsLAw5s6di6+vLykpKTzxxBO89tpr1NTUsGjRIvz9/QE4ePAghw4d4vnnn2fz5s2djp+Wlvb/\n2bv3uCjL/P/jr2EEQdIRGSePeEIIDSusPJV4St1ybXXNJDX7msf1Z+YpT+uWWgEWmlkqVqYtyWar\nqW1l1oqYUdlX02+mgJabBiJyGoQ4OczvD3O2kZPuJjDyfj4e89C5ruu+7899eUWfubjuazh8+DAG\ng4Hw8HCnutdee429e/eSl5fHkiVLnOq2bdvG9u3bycjIYM6cOZhMJkddfHw8GzduJDU1lQkTJjiW\n7lytrKws4uPjiYiIACAgIIAdO3aQnZ2Nj48Pn3zyCQUFBeTl5WEymXjyySeZNGkSjRo1oqioiKio\nKMe5Fi9ezOLFi/H09CQvL4+lS5diNBqvKR4RERERkWtO5l9++WWaNm2KzWbjjTfeIDw8nIiICGJj\nY5k0aRL9+vXj7NmzPPnkkwQGBnLzzTezatWqMol3ZRYsWADA7t27iY6OdiTQABMnTmTixIkcOnSI\n6OhoXnnlFUciPHz4cIYPH84PP/zAc889x1133eX47UBoaCihoaGcO3eOxYsX06NHD1q1anVV8eTn\n57No0SLCwsLo2PHSU6i33347Dz/8MAsWLMBoNHLPPfcAYDQayc/PZ+vWraxbt47WrVvzxRdf8Oc/\n/5m33noLuLRn/LJlywgODiYpKYlFixaxYcMGGjVqdNV9JCIiIiJyzcn85eUiRqORESNG8Oijj2K1\nWvnss89YvHgxAM2bNycoKIhvv/0Wm83G+fPnmTVrFna7nby8PMef8+bNq/RaAwcOZMWKFVy4cMFp\nyQ5ASEgIP//8Mz/88IMjwb6sffv2mM1mDh8+XGaN/s0330xQUBBffPEFDz30UJX3W1BQwLx587jn\nnnsYMWKEU93QoUMZOnQocOm3D02bNsXLy4v4+HgaNmxI69atAejRowfLly8nLS2NvLw8MjMzCQ4O\nBiAwMJCmTZty4sQJunbtWnEgCcDRK8qCf3mJiIiISLWIjY0lNjbWqcxqtdZQNNeYzBcWFnLx4kVu\nuukmAD799FM6duxIw4YN8fLy4ptvvuGOO+7AarWSmJjIyJEjadeunePBT7i0dj4vL6/c3Wzy8vIo\nKirC19cXuPQArMlkomHDhthsNtLS0hxr7o8fP05OTg7NmzcHLu2U06ZNGwBSUlI4efKk4/2v63Jy\ncvjmm2/o3bt3metf+SxAQUEBc+fOpVu3bowePbpM+6ysLJo0aUJhYSFvvvmmY/eeFi1acPLkSUf9\nd999R2lpKRaLhQYNGpCVlcXp06fx8/MjJSWF1NTUqreS7Al0qbyJiIiIiFxfYWFhhIWFOZUdOnSo\n8knZ6+iakvns7GyefvppSktLsdvttGjRgvnz5zt2uFm3bh2lpaVcvHiRESNG0KlTpyrPmZCQQEJC\nAnPmzCE/P59nnnmG4uJiDAYDPj4+jvX5Fy9eJCIigp9//hk3Nze8vLxYsmSJ44NFdHQ0aWlpGI1G\n6tWrx4wZMxwJ8tatW/m///s/PDw8sNvtjBgxwtHhZ86cYfbs2RQVFVFcXMzDDz/M6NGjGTp0KFu3\nbiU5OZni4mL27duHwWAgNDTUkdjPnTsXu93OxYsXnXbM6dixI2PGjGHWrFm4u7tjNBp5+umncXd3\nx8fHh1mzZrFkyRLHVpkzZsxwekBWRERERORqGOLi4spuTSO1RnJyMpMnT4bhVD0znwqsh4MHDzr2\n3xcRERGR6+vyzHx0dDQBAQHVeu1r3ppSRERERERqh/9oa0qpAdlcmnmvTEZ1BCIiIiIitYWSeVcR\n98urCp5enpjN5usejoiIiIjUPCXzLiImJoagoKAq25nN5qp3xhERERGRG4LWzIuIiIiIuCjNzLuI\nMWPGXFU7Ty9PkhKTNDsvIiIiUgcomXcVfYGOVbTJgMJthWRkZCiZFxEREakDrjmZHzVqFPXr18fD\nwwODwcAjjzxCnz59ANi4cSN79uzB3d0dk8nEihUrHMdt376d7du3YzQacXNzY82aNbi7uzudOzc3\nl9mzZ2MwGIBL3zh79uxZ3nvvPW666SYSExN59dVXKSgowM3NjalTp3LHHXcAl7719aWXXiI7O5vS\n0lLGjh1L3759gUtfdrVy5UpSUlKw2WwMGTKEESNGAFBcXExUVBQnTpzAYDDQvHlz5s6di8lkYteu\nXWzduhWDwYDdbuf8+fPcdtttLFmyhK+//pr169c76nJycmjSpAnR0dEA7N69my1btmC32/Hx8WHe\nvHmOL4aaO3cu2dnZGAwGGjRowPTp0/H396+8432AFtf6ryUiIiIiN7JrTuYvf9tr+/btncr//ve/\nc+rUKd58802MRiPZ2dmOuv3797Nnzx7Wrl2Ll5cXVquVevXKXrpRo0a89tprjvdbtmzhyJEjjm95\n/ctf/sKCBQu44447+Omnn5gzZw5vvfUWHh4eREREcP/99/O73/0Oq9XK5MmT6dKlC76+vqxZs4a2\nbduydOlSCgsLmT59OsHBwQQGBrJz506KiorYsGEDAC+++CLvvPMOkyZNYvDgwQwePNgRz/jx47nv\nvvsAuOuuu7jrrrscdQsXLnR8UdPp06eJjo7m9ddfx8fHh08++YQVK1YQHh4OwDPPPIO3t7ejbyIi\nInj99dev9Z9CREREROq4a34A1m63Y7eX/dLYLVu2MGnSJIxGIwA+Pj5OdePGjcPLywsAk8nkmH2v\nzIcffsj9998PgNVqxWq1OmbiW7Vqhbe3NwcOHADg+++/p1u3bo7zd+jQgbi4OEdd9+7dAfD09KRL\nly588sknABgMBoqKirh48SI2m42CggLHDPqvHTt2jJycHHr06FGmLiMjg0OHDjkS/VOnTtGhQwdH\nH3Tv3p0DBw5w4cIFAEciD5CXl4ebm55DFhEREZFr9x+tmX/++ecBCAoKYuLEibi7u5Odnc3+/fuJ\nj4/HYDAwYsQIxzKXH3/8kcTERDZu3MjFixe57777GD58eKXXOHr0KHl5eY7k2WQy4evrS3x8PKGh\noSQmJnLmzBnS0tIACAwM5JNPPuHhhx8mNTWV7777jubNmwMQEBDAp59+SlBQEFarla+//tqxpvz3\nv/893333HcOGDcNoNBIUFMSwYcPKxPPRRx8xcOBAx4eVX/v444/p3r07JpMJAH9/f06cOEFKSgot\nW7Zk9+7dAJw7d46GDRsCEB4ezuHDhzEYDI4ZexERERGRa3HNU8Ivv/wyb7zxBuvXr6dRo0ZERERg\ns9mw2WyUlJSwZs0aFi9ezJo1a/jhhx8AsNlspKWl8fLLLxMREcH777/Pl19+Wel1LifPv561fvbZ\nZ/nwww+ZNGkS27Zto0uXLo7ket68eRw7doxJkyaxdu1aunbt6qibOnUqBQUFTJw4keeee4477rjD\nUff1119jt9t577332Lp1K97e3o4lN5cVFhYSFxfn+C1BebH+uq5ly5bMnDmT559/nqlTp5KXl8dN\nN93k9EFgwYIFvPPOO4wfP96xzl5ERERE5Fpc88z85SUoRqORESNG8Oijj9KwYUO8vLwYMGAAAM2a\nNaNz584kJibSvn17LBYL/fv3x2AwYDKZ6NatG8eOHXMsfblSQUEBe/fuZd26dU7l7du3JzIy0vH+\nscceo23bto5rLlmyxFE3b9487rzzTuDSrP68efMcdStXrnQc98EHHzBgwADHGv4BAwawefNmp+vu\n3buXtm3blrtDzOHDhykpKXFaPw/Qu3dvevfuDUBWVhaxsbG0bNmyzPEDBw5kxYoVXLhwwTFrX64E\n4OgVZcG/vERERESkWsTGxhIbG+tUZrVaayiaa5yZLywsJC8vz/H+008/dezC0r9/f7766ivg0q40\niYmJdOjQAbiUIF+uKyoq4siRI4668uzZswd/f39at27tVJ6VleX4+z/+8Q+8vLwca+izs7Mda/kP\nHDjAjz/+SP/+/R3x2Gw2AE6cOMHnn3/OH/7wBwCaN2/O119/DVx6HuDLL7+kXbt2Tte9cub91z78\n8EMGDRpU5hmAy7HabDbWr1/PH/7wBzw8PMjLyyMzM9PRbv/+/ZhMpsoTeYCewCNXvJTIi4iIiFSr\nsLAwdu7c6fRauXJljcVzTTPz2dnZPP3005SWlmK322nRogULFiwAYMKECURGRrJjxw7HlpWBgYEA\njBgxghUrVvDYY4/h5uZGaGgooaGhACQkJJCQkMCcOXMc19m1axdDhgwpc/3333+ff/7znwD4+fmx\ndOlSR11CQgKxsbEYjUZ8fX2JjIzEw8MDgMTERFavXo3RaKRBgwY8/fTTjodTH3vsMaKiovif//kf\nDAYDfn5+zJo1y3HeM2fO8P333zvW//9afn4++/fvL7MsB2D58uWkpaVx8eJFunfvzoQJExzHPPPM\nMxQXF2MwGPDx8XE8gyAiIiIici0McXFxZbemkVojOTmZyZMnw3CgSxWNU4H1cPDgQcc2mSIiIiJy\nfR06dIiuXbsSHR1NQEBAtV5beyKKiIiIiLio/2hrSqkB2Vyaea9MRnUEIiIiIiK1hZJ5VxH3y6sK\nnl6emM3m6x6OiIiIiNQ8JfMuIiYmhqCgoCrbmc3mcrfQFBEREZEbj9bM30CUyIuIiIjULZqZdxFj\nxoypso2nlydJiUlK6EVERETqCCXzrqIv0LGS+gwo3FZIRkaGknkRERGROkLJ/BVyc3OZPXu24xtd\nCwsLOXv2LO+99x433XQTcGkv0blz5/KnP/2JP/7xjwCkpKQQFRXFhQsXKCkpoXv37kyZMqXca6Sk\npBAeHk5ubi7e3t7Mnz+fNm3aVB6YD9DiN7sM2oWzAAAgAElEQVRNEREREbkBKJm/QqNGjXjttdcc\n77ds2cKRI0cciXx+fj6vvfYa3bt3dzpu3bp13HvvvQwbNoySkhKmTJlCSEgId999d5lrREVFMXTo\nUAYOHEh8fDwRERGsXbv2+t6YiIiIiNxw9ABsFT788EPuv/9+x/tVq1bx6KOP0qhRI6d2BoOB/Px8\n4NJsvs1mo0mTJmXOl5OTQ3JyMgMGDAAgNDSU9PR0UlOr2kReRERERMSZkvlKHD16lLy8PHr06AFA\nfHw8RqPR8f7Xpk2bRlxcHA899BAjR45k4MCB+Pv7l2mXnp6Or68vbm7/7nqLxUJ6evr1uxERERER\nuSEpma/ERx99xMCBA3FzcyMrK4uYmBj+3//7f+W23bFjBwMGDODdd9/lb3/7G5988gkHDx6s5ohF\nREREpC7RmvkKFBQUsHfvXqKjowFITk4mKyuLiRMnYrfbsVqtJCQkYLVaGT9+PNu3bycmJgYAk8lE\nt27dOHLkCF27dnU6r8ViITMzk9LSUsfsfHp6OhaLpfKAEoCjV5QF//ISERERkWoRGxtLbGysU5nV\naq2haJTMV2jPnj34+/vTqlUrALp3787WrVsd9ZGRkfj7+zt2s2nRogUHDhxg8ODBFBQUcPjwYUaO\nHFnmvI0bNyYgIIDdu3czePBg4uPjsVgstGhRxVY1PYEuv9ntiYiIiMh/ICwsjLCwMKeyQ4cOlZnA\nrS5K5iuwa9cuhgwZctXt58+fz6pVq9i6dSslJSX06tWLfv36AZCQkEBCQgJz5swBYObMmURGRrJ5\n82a8vb156qmnrss9iIiIiMiNTcl8BVavXl1p/bx585ze+/v7V3hMz5496dmzp+N969ateeWVV/77\nIEVERESkTtMDsCIiIiIiLkoz864iG6hsK/qM6gpERERERGoLJfOuIu6XVyU8vTwxm83VEo6IiIiI\n1Dwl8y4iJiaGoKCgStuYzWb8/PyqKSIRERERqWlaMy8iIiIi4qI0M+8ixowZU2UbTy9PkhKTNDsv\nIiIiUkcomXcVfYGOldRnQOG2QjIyMpTMi4iIiNQR15zMf/nll2zYsAG73U5paSkjR45k0KBBAGzc\nuJE9e/bg7u6OyWRixYoVTsf++OOPTJkyhSFDhjBt2rQy5y4uLmbZsmX8+OOP1K9fn8aNG/Pkk0/S\nsmVLAHJycggPDyc1NRUPDw9mzJhBly6Xvha1qKiI5cuXk5SUhJubG48//jihoaEA2O12Vq9ezVdf\nfYWbmxvDhw9n2LBhACQlJbF69Wq+//577rrrLpYuXeqI55tvvmH9+vUUFhZiMBjo1q0bkydPBuDU\nqVO89NJLWK1WjEYjt9xyCzNmzMDDwwOAY8eOsWLFCoqLi2natCkLFy7E19eX3NxcZs+ejcFgAKCw\nsJCzZ8/y3nvvcdNNN1Xc8T5AFV8SKyIiIiJ1yzUn8+Hh4bz00ku0a9eOtLQ0xo0bR+/evfnggw84\ndeoUb775JkajkezsbKfjbDYbK1as4N577630/L///e+5++67AXjvvfd48cUXWblyJQDr16+nU6dO\nREZGkpSUxOLFi4mNjcVoNPLOO+/g4eFBTEwMaWlp/OlPfyIkJISGDRuye/duTp8+zdtvv82FCxeY\nOHEiISEhtGnTBl9fX6ZPn86JEyc4cOCAUywNGzbk6aefplmzZpSUlDB79mw+/vhjBg0ahIeHB08+\n+STt2rXDbrezbNkyYmNjGTduHHa7neeff565c+dy2223sWXLFlavXs0zzzxDo0aNeO211xzX2LJl\nC0eOHKk8kRcRERERKcc1PwBrMBjIy8sDID8/H5PJhLu7O1u2bGHSpEkYjUYAfHx8nI7btGkTffr0\nccyyl8fDw8ORyAN06tSJc+fOOd7v3buXoUOHAhAYGIjZbObIkSMAxMXFOeqaNWvGbbfdxmeffeY4\n7oEHHgAuJeh9+/bln//8J3BpB5jAwEDq1Sv7ucbf359mzZoB4O7ujr+/P2lpaQC0bNmSdu3aOfrk\nlltucdQlJydTr149brvtNuDSB5QvvviCkpKSMtf48MMPHbGJiIiIiFyLa07mFy9ezOLFixk1ahQz\nZsxg/vz5FBcXk52dzf79+/nTn/7EtGnTiIv796box44d4/jx446lLVdr69at9OrVC4Dc3FxsNpvT\nh4Sbb76Z9PR0ANLT07n55psddc2aNbuququVlZVFfHw8PXr0KFNXUFDABx98wD333APAuXPnnK7n\n5eWFt7c3mZmZTscdPXqUvLw8unfvfk2xiIiIiIjANS6zsdlsxMTEsGzZMoKDg0lKSmLRokW8/vrr\n2Gw2SkpKWLNmDWlpaUyfPp02bdrQsmVLVq1axZIlS64psJiYGFJTU5kzZ841HXc95Ofns2jRIsLC\nwggICHCqu3jxIsuWLePuu+92fPC4Wh999BEDBw7EzU07hIqIiIjItbumZP7kyZNkZmYSHBwMXFrq\n0rRpU77//nsaNGjAgAEDgEsz3507dyYxMRGDwcD58+eZNWsWdrudvLw8x5/z5s0r9zrvvPMOn3/+\nOVFRUY4HShs1auRYi395dj4tLQ2LxQJcmqU/d+4cTZo0cdTdddddAFgsFs6dO0enTp3KHFeVgoIC\n5s2bxz333MOIESOc6mw2G0uXLsVsNjs90HvzzTc7ltxcPkd+fj6+vr5OZXv37mXdunVXFQcJwNEr\nyoJ/eYmIiIhItYiNjSU2NtapzGq11lA015jMWywWsrKyOH36NH5+fqSkpJCamoqfnx/9+vXjq6++\n4sEHHyQ3N5fExETCwsJo164d27Ztc5xj06ZN5OXllbubDVx6IHTPnj1ERUXRoEEDp7rQ0FB27tzJ\nuHHjSExMJDMz07Eu/XJdUFAQZ8+e5ciRI8ycOdNR98EHHxAaGkpeXh5xcXGEh4eXubbdbnd6X1BQ\nwNy5c+nWrRujR492qrPZbCxZsoRGjRoxa9Ysp7qAgABsNhuHDx/m9ttvZ+fOnfTo0QN3d3dHmz17\n9uDv70/r1q2r6vZLegJdrq6piIiIiFwfYWFhhIWFOZUdOnSIrl271kg815TM+/j4MGvWLJYsWYKb\nmxulpaXMmDGDpk2bMmHCBCIjI9mxYwcGg4FHHnmEwMDAKs+ZkJBAQkICc+bM4fz586xbt44WLVo4\nZvI9PDx49dVXAZg0aRLPP/88Y8eOxd3dnUWLFjkeuH344YdZvnw5o0ePxmg0MmPGDBo1agTAwIED\nSU5OZuzYsRgMBh5++GHHw6tnzpxh9uzZFBUVUVxczMMPP8zo0aMZOnQoW7duJTk5meLiYvbt24fB\nYCA0NJTRo0cTFxfH559/Tvv27Zk4cSIGg4Fbb72VJ554AoPBwMKFC4mKiqKkpASz2cyCBQuc7nvX\nrl0MGTLkWrpfRERERMSJIS4uzl51M6kpycnJl/a2H07lM/OpwHo4ePAgISEh1RSdiIiIiFyemY+O\nji7zfOX1picvRURERERc1DV/aZTUkGwuzb5XJKO6AhERERGR2kLJvKuI++VVCU8vT8xmc7WEIyIi\nIiI1T8m8i4iJiSEoKKjSNmazGT8/v2qKSERERERqmtbMi4iIiIi4KM3Mu4gxY8ZU2cbTy5OkxCTN\nzouIiIjUEUrmXUVfoGMl9RlQuK2QjIwMJfMiIiIidUSdTOZXr15NQkIC586d47XXXqNDhw4A5OTk\nEB4eTmpqKh4eHsyYMYMuXf69ufv27dvZvn07RqMRNzc31qxZ4/StrtnZ2Tz++OPceuutLF26tNxr\nV3WNCvkALf6r2xYRERGRG0ydTOb79OlDWFgYTzzxhFP5+vXr6dSpE5GRkSQlJbF48WJiY2MxGo3s\n37+fPXv2sHbtWry8vLBardSr59x9K1eupGfPnuTm5lZ47cquISIiIiJyLerkA7DBwcGYzWbsducv\nv927dy9Dhw4FIDAwELPZzJEjRwDYsmUL48aNw8vLCwCTyYTBYHAc++GHH9K8eXNuvfXWSq9d2TVE\nRERERK5FnUzmy5Obm4vNZsPHx8dRdvPNN5Oeng7Ajz/+SGJiItOnT2fq1Kls27bN0e7s2bO8//77\nPP744//VNURERERErkWdXGbzn7DZbKSlpfHyyy+Tm5vLk08+SYsWLejevTsvvPACM2bMwMPDo6bD\nFBEREZE6RMn8Lxo1aoTRaCQ7O9sxc56WlobFYgEuzaD3798fg8GAyWSiW7duHDt2jODgYH744QfH\nA68///wzRUVFzJkzhxdffPGarlGpBODoFWXBv7xEREREpFrExsYSGxvrVGa1WmsoGiXzTkJDQ9m5\ncyfjxo0jMTGRzMxMbrvtNgD69+/PV199xe23305RURFHjhxh1KhReHt7s337dsc5du3aRUJCQoW7\n2VR2jUr1BK5i0xsRERERuX7CwsIICwtzKjt06BBdu3atkXjq5Jr5FStWMHLkSDIyMnjqqacYO3Ys\nAJMmTeLo0aOMHTuW5cuXs2jRIscuMyNGjCA7O5vHHnuMqVOn0r17d0JDQ6u8VlJSEgsWLHC8r+wa\nIiIiIiLXwhAXF2evupnUlOTkZCZPngzDqXxmPhVYDwcPHiQkJKSaohMRERGRyzPz0dHRBAQEVOu1\n6+TMvIiIiIjIjUBr5l1FNpdm3yuSUV2BiIiIiEhtoWTeVcT98qqEp5cnZrO5WsIRERERkZqnZN5F\nxMTEEBQUVGkbs9mMn59fNUUkIiIiIjVNa+ZFRERERFyUZuZdxJgxY6ps4+nlSVJikmbnRUREROoI\nJfOuoi/QsZL6DCjcVkhGRoaSeREREZE6Qsl8JT766CNeeOEFli1bRq9evQDYuHEje/bswd3dHZPJ\nxIoVKwBISUkhKiqKCxcuUFJSQvfu3ZkyZUq5501JSSE8PJzc3Fy8vb2ZP38+bdq0qTwYH6DFb3l3\nIiIiIuLqlMxXIC0tjQ8++IBOnTo5yv7+979z6tQp3nzzTYxGI9nZ2Y66devWce+99zJs2DBKSkqY\nMmUKISEh3H333WXOHRUVxdChQxk4cCDx8fFERESwdu3aarkvEREREblx6AHYctjtdl588UVmzJiB\nu7u7o3zLli1MmjQJo9EIgI+Pj6POYDCQn58PQGFhITabjSZNmpQ5d05ODsnJyQwYMACA0NBQ0tPT\nSU2tbBN5EREREZGyNDNfjnfffZfg4GA6dvz3IvWff/6Z7Oxs9u/fT3x8PAaDgREjRtC3b18Apk2b\nxsKFC9mxYwd5eXmMHTsWf3//MudOT0/H19cXN7d/f46yWCykp6fTooXW0YiIiIjI1VMyf4VTp06x\nb98+Vq1a5VRus9mw2WyUlJSwZs0a0tLSmD59Om3atKF9+/bs2LGDAQMGEBYWhtVq5cknnyQwMJCu\nXbvW0J2IiIiIyI1OyfwVvv32W86dO8fYsWOx2+1kZWURFRXFY489RoMGDRzLY5o1a0bnzp1JTEyk\nffv2bN++nZiYGABMJhPdunXjyJEjZZJ5i8VCZmYmpaWljtn59PR0LBZL5YElAEevKAv+5SUiIiIi\n1SI2NpbY2FinMqvVWkPRKJkvY+jQoQwdOtTxfubMmTz00EP07NmTkydP8tVXX/Hggw+Sm5tLYmIi\nYWFhALRo0YIDBw4wePBgCgoKOHz4MCNHjixz/saNGxMQEMDu3bsZPHgw8fHxWCyWqpfY9AS6/JZ3\nKiIiIiLXKiwszJH/XXbo0KEaW42hZL4KBoMBu90OwIQJE4iMjGTHjh0YDAYeeeQRAgMDAZg/fz6r\nVq1i69atlJSU0KtXL/r16wdAQkICCQkJzJkzB7j0ASEyMpLNmzfj7e3NU089VTM3JyIiIiIuzRAX\nF2ev6SCkYsnJyUyePBmGU/nMfCqwHg4ePEhISEg1RSciIiIil2fmo6OjCQgIqNZra2tKEREREREX\npWU2riKbS7PvFcmorkBEREREpLZQMu8q4n55VcLTyxOz2Vwt4YiIiIhIzVMy7yJiYmIICgqqtI3Z\nbMbPz6+aIhIRERGRmqY18yIiIiIiLkoz8y5izJgxVbbx9PIkKTFJs/MiIiIidYSSeVfRF+hYSX0G\nFG4rJCMjQ8m8iIiISB2hZL4cX375JRs2bMBut1NaWsrIkSMZNGgQiYmJvPrqqxQUFODm5sbUqVO5\n4447APjLX/5CWloaAHa7nR9++IFnn32WHj16lDl/SkoK4eHh5Obm4u3tzfz582nTpk3lQfkAVXxJ\nrIiIiIjULUrmyxEeHs5LL71Eu3btSEtLY9y4cfTu3Zu//OUvLFiwgDvuuIOffvqJOXPm8NZbb+Hh\n4cHSpUsdxyclJTF//nzuvvvucs8fFRXF0KFDGThwIPHx8URERLB27drquj0RERERuUHoAdhyGAwG\n8vLyAMjPz8dkMlFUVEROTo5jJr5Vq1Z4e3tz4MCBMsd/+OGHDBgwAKPRWKYuJyeH5ORkBgwYAEBo\naCjp6emkpla2ibyIiIiISFmamS/H4sWLWbx4MZ6enuTl5bF06VIaN26M2WwmPj6e0NBQEhMTOXPm\njGNpzWXFxcXs2bOHl19+udxzp6en4+vri5vbvz9HWSwW0tPTadFC62hERERE5Oopmb+CzWYjJiaG\nZcuWERwcTFJSEosWLWLDhg08++yzREdH8/bbb9O2bVu6dOlSZvZ97969tG7dmnbt2tXQHYiIiIhI\nXaFk/gonT54kMzOT4OBgAAIDA2natCknTpyga9euREZGOto+9thjtG3b1un4jz76iPvvv7/C81ss\nFjIzMyktLXXMzqenp2OxWCoPLAE4ekVZ8C8vEREREakWsbGxxMbGOpVZrdYaikbJfBkWi4WsrCxO\nnz6Nn58fKSkppKam4ufnR1ZWFk2aNAHgH//4B15eXo419HBpl5rk5GSef/75Cs/fuHFjAgIC2L17\nN4MHDyY+Ph6LxVL1EpueQJff4g5FRERE5D8VFhZGWFiYU9mhQ4fo2rVrjcSjZP4KPj4+zJo1iyVL\nluDm5kZpaSkzZsygadOmbNq0iX/+858A+Pn5Oe1gA5dm5Xv37o2Xl5dTeUJCAgkJCcyZMweAmTNn\nEhkZyebNm/H29uapp56qnpsTERERkRuKIS4uzl7TQUjFkpOTmTx5Mgyn8pn5VGA9HDx4kJCQkGqK\nTkREREQuz8xHR0cTEBBQrdfW1pQiIiIiIi5Ky2xcRTaXZt8rklFdgYiIiIhIbaFk3lXE/fKqhKeX\nJ2azuVrCEREREZGap2TeRcTExBAUFFRpG7PZjJ+fXzVFJCIiIiI1TWvmRURERERclGbmXcSYMWOq\nbOPp5UlSYpJm50VERETqCCXzrqIv0LGS+gwo3FZIRkaGknkRERGROkLJfDm+/PJLNmzYgN1up7S0\nlJEjRzJo0CAANm7cyJ49e3B3d8dkMrFixQqnY3/88UemTJnCkCFDmDZtWrnnT0lJITw8nNzcXLy9\nvZk/fz5t2rSpPCgfoIoviRURERGRukXJfDnCw8N56aWXaNeuHWlpaYwbN47evXvzwQcfcOrUKd58\n802MRiPZ2dlOx9lsNlasWMG9995b6fmjoqIYOnQoAwcOJD4+noiICNauXXs9b0lEREREbkB6ALYc\nBoOBvLw8APLz8zGZTLi7u7NlyxYmTZqE0WgEwMfHx+m4TZs20adPH1q2bFnhuXNyckhOTmbAgAEA\nhIaGkp6eTmpqZZvIi4iIiIiUpZn5cixevJjFixfj6elJXl4eS5cupbi4mOzsbPbv3098fDwGg4ER\nI0bQt29fAI4dO8bx48d54YUX2LRpU4XnTk9Px9fXFze3f3+OslgspKen06KF1tGIiIiIyNVTMn8F\nm81GTEwMy5YtIzg4mKSkJBYtWsTrr7+OzWajpKSENWvWkJaWxvTp02nTpg0tW7Zk1apVLFmypKbD\nFxEREZE6RMn8FU6ePElmZibBwcEABAYG0rRpU77//nsaNGjgWB7TrFkzOnfuTGJiIgaDgfPnzzNr\n1izsdjt5eXmOP+fNm+d0fovFQmZmJqWlpY7Z+fT0dCwWS+WBJQBHrygL/uUlIiIiItUiNjaW2NhY\npzKr1VpD0SiZL8NisZCVlcXp06fx8/MjJSWF1NRU/Pz86NevH1999RUPPvggubm5JCYmEhYWRrt2\n7di2bZvjHJs2bSIvL6/c3WwaN25MQEAAu3fvZvDgwcTHx2OxWKpeYtMT6PIb36yIiIiIXJOwsDDC\nwsKcyg4dOkTXrl1rJB4l81fw8fFh1qxZLFmyBDc3N0pLS5kxYwZNmzZlwoQJREZGsmPHDgwGA488\n8giBgYFVnjMhIYGEhATmzJkDwMyZM4mMjGTz5s14e3vz1FNPXe/bEhEREZEbkJL5cvTr149+/fqV\nKW/UqBHPPfdclcePGzfO6X3Pnj3p2bOn433r1q155ZVX/vtARURERKRO09aUIiIiIiIuSjPzriIb\nqGwr+ozqCkREREREagsl864i7pdXJTy9PDGbzdUSjoiIiIjUPCXzLiImJoagoKBK25jNZvz8/Kop\nIhERERGpaVozf4NQIi8iIiJS92hm3kWMGTOm0npPL0+SEpOU0IuIiIjUIUrmXUVfoGMFdRlQuK2Q\njIwMJfMiIiIidYiS+XIcOHCADRs2cPHiRTw9PZk1axbt27fn7bff5uOPPyYlJYWlS5fSq1evMsf+\n+OOPTJkyhSFDhpT7DbAAKSkphIeHk5ubi7e3N/Pnz6dNmzaVB+UDVPElsSIiIiJSt2jN/BXy8vJ4\n7rnnWLhwIa+//jqTJ0/m2WefBeDOO+9k+fLl3HbbbeUea7PZWLFiBffee2+l14iKimLo0KG89dZb\njBo1ioiIiN/8PkRERETkxqdk/gopKSmYTCbHcpXg4GDS09M5efIkgYGBNGvWDLvdXu6xmzZtok+f\nPrRs2bLC8+fk5JCcnMyAAQMACA0NJT09ndTUyjaRFxEREREpS8n8FVq1akVubi7Hjh0D4PPPP6eg\noIC0tLRKjzt27BjHjx9n2LBhlbZLT0/H19cXN7d/d73FYiE9Pf2/D15ERERE6hStmb+Ct7c3zzzz\nDOvXr6ewsJBOnTrRpk0bjEZjhccUFRWxatUqlixZUo2RioiIiEhdp2S+HLfffjsvvfQSACUlJfzx\nj3+s9AHV1NRUzp8/z6xZs7Db7eTl5Tn+nDdvnlNbi8VCZmYmpaWljtn59PR0LBZL5UElAEevKAv+\n5SUiIiIi1SI2NpbY2FinMqvVWkPRKJkvV1ZWFk2aNAHgrbfeIiQkhBYtKt5Kpl27dmzbts3xftOm\nTeTl5ZW7m03jxo0JCAhg9+7dDB48mPj4eCwWS6XnB6An0OU/uh0RERER+Y2EhYURFhbmVHbo0CG6\ndu1aI/EomS/Hhg0b+PbbbyktLaVTp07MnTsXgJiYGHbu3InVauXFF1/k5ZdfZv369ZhMpkrPl5CQ\nQEJCAnPmzAFg5syZREZGsnnzZry9vXnqqaeu+z2JiIiIyI3HEBcXV/7WLFIrJCcnM3nyZBhOxTPz\nqcB6OHjwICEhIdUYnYiIiIhcnpmPjo4mICCgWq+t3WxERERERFyUltm4imwuzcCXJ6M6AxERERGR\n2kLJvKuI++VVAU8vT8xmc7WFIyIiIiI1T8m8i4iJiSEoKKjCerPZ7PjWWhERERGpG7RmXkRERETE\nRWlm3kWMGTOm0npPL0+SEpM0Oy8iIiJShyiZdxV9gY4V1GVA4bZCMjIylMyLiIiI1CFK5stRUlLC\n2rVr+frrr/Hw8KBDhw4sXLiQt99+m48//piUlBSWLl1Kr169HMekpKQQFRXFhQsXKCkpoXv37kyZ\nMqXc86ekpBAeHk5ubi7e3t7Mnz+fNm3aVB6UD1DFl8SKiIiISN2iZL4c69evx2Aw8Ne//hWA7Oxs\nAO6880769+/P8uXLyxyzbt067r33XoYNG0ZJSQlTpkwhJCSEu+++u0zbqKgohg4dysCBA4mPjyci\nIoK1a9de35sSERERkRuOHoC9QmFhIR999BETJkxwlPn4+AAQGBhIs2bNsNvLfmmuwWAgPz/fcQ6b\nzUaTJk3KtMvJySE5OZkBAwYAEBoaSnp6OqmpFW0iLyIiIiJSPs3MXyE1NZWGDRsSExPDwYMHqV+/\nPuPGjSMkJKTS46ZNm8bChQvZsWMHeXl5jB07Fn9//zLt0tPT8fX1xc3t35+jLBYL6enptGihdTQi\nIiIicvU0M38Fm83GuXPnaNu2LevWrWP69OksXbqUnJycSo/bsWMHAwYM4N133+Vvf/sbn3zyCQcP\nHqymqEVERESkLtLM/BUsFgtubm6OZTD+/v40b96cH374odLZ+e3btxMTEwOAyWSiW7duHDlyhK5d\nu5Y5f2ZmJqWlpY7Z+fT0dCwWS+WBJQBHrygL/uUlIiIiItUiNjaW2NhYpzKr1VpD0SiZL8NkMhES\nEsKBAwfo1q0bZ8+eJS0trcrdZlq0aMGBAwcYPHgwBQUFHD58mJEjR5Zp17hxYwICAti9ezeDBw8m\nPj4ei8VS9RKbnkCX/+LGREREROS/FhYWRlhYmFPZoUOHykzgVhcl8+WYOXMmL7zwAuvXr8fNzY3Z\ns2fj6+tLTEwMO3fuxGq18uKLL/Lyyy+zfv16TCYT8+fPZ9WqVWzdupWSkhJ69epFv379AEhISCAh\nIYE5c+Y4zh8ZGcnmzZvx9vbmqaeeqsnbFREREREXZYiLiyu7NYvUGsnJyUyePBmGU/HMfCqwHg4e\nPFjlg7oiIiIi8tu6PDMfHR1NQEBAtV5bD8CKiIiIiLgoLbNxFdlcmoEvT0Z1BiIiIiIitYWSeVcR\n98urAp5enpjN5moLR0RERERqnpJ5FxETE0NQUFCF9WazGT8/v2qMSERERERqmpL5G0RGRgYZGVpv\nIyIiIjVLE4zVS8m8ixgzZkxNhyAiIiJSJU8vT5ISk5TQVxMl866iL9CxpoMQERERqUQGFG4rJCMj\nQ8l8NVEyX46LFy/yxhtv8Nlnn1GvXj+R6XUAACAASURBVD2MRiMjR45k0KBBpKWlceDAAYYOHepo\nHxYWxrPPPkuHDh2uX1A+QBVfEisiIiIidYuS+XKEh4djs9nYsGEDHh4epKWlMX/+fEpLS2nevDnv\nv/++UzL/W7DZbBiNxt/0nCIiIiJyY1Myf4WUlBQSEhJ499138fDwAKBZs2ZMnTqVlStXUr9+fdLT\n05k0aRIWi4Vnn30WgH379rFy5Uqys7P53e9+51jjnpWVxerVqzl37hxFRUX06tWL8ePHA5dm9Pv2\n7cs333xD69atWbhwYc3ctIiIiIi4JCXzVzhx4gStWrXipptucirv3Lkz6enpPP3007z99tusX7/e\nqT4/P59XXnkFq9XK6NGj+d3vfoevry8RERGMGTOGLl26YLPZWLhwIfHx8YSGhgKQm5vL2rVrq+3+\nREREROTGoWT+N9K/f38ATCYTLVq04OzZs3h7e3Po0CFycnKw2+0AFBYWcubMGcdxgwcPrpF4RURE\nRMT1KZm/QseOHfnpp5+4cOECDRs2dJQfPXoUi8VC48aNyz3u8pIcADc3N2w2G3a7HYPBwJo1a6hX\nr/yu9vLyurrAEoCjV5QF//ISERERkWoRGxtLbGysU5nVaq2haJTMl9GyZUt69uxJVFQUCxYsoH79\n+qSlpbFu3ToeffRRGjRoQH5+/lWdy8vLi9tvv523336bcePGAZCZmYndbsdsNl9bYD2BLtd4MyIi\nIiLymwoLCyMsLMyp7NChQ3Tt2rVG4lEyX44FCxbw+uuvM378eNzd3TEajYwaNYrBgwdjs9lo27Yt\n48ePp0WLFjz77LMYDAan43/9/s9//jOvvvoq48ePx2Aw4OXlxaxZszCbzWWOExERERG5Foa4uDh7\nTQchFUtOTmby5MkwHM3Mi4iISO2WCqyHgwcPEhISUtPRVJvLM/PR0dEEBARU67XdqvVqIiIiIiLy\nm9EyG1eRzaVPuyIiIiK1VUZNB1D3KJl3FXG/vERERERqMU8vz2vf6EP+Y0rmXURMTAxBQUE1HYaI\niIhIpcxmM35+fjUdRp2hZN5FBAUF1akHSURERESkanoAVkRERETERSmZFxERERFxUUrmRURERERc\nlJJ5EREREREXpWReRERERMRFKZkXEREREXFRSuZFRERERFyUknkRERERERelZF5ERERExEUpmRcR\nERERcVFK5kVEREREXJSSeRERERERF6VkXkRERETERSmZFxERERFxUUrmRURERERclJJ5EREREREX\npWReRERERMRFKZkXEREREXFRSuZFRERERFyUknkRERERERelZF5ERERExEUpmRcRERERcVFK5kVE\nREREXJSSeRERERERF6VkXkRERETERSmZFxERERFxUUr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855      "text/plain": [
856       "<matplotlib.figure.Figure at 0x7f5e3f392390>"
857      ]
858     },
859     "metadata": {},
860     "output_type": "display_data"
861    }
862   ],
863   "source": [
864    "graphDimension(1, 'Vertical')"
865   ]
866  },
867  {
868   "cell_type": "markdown",
869   "metadata": {},
870   "source": [
871    "# And we'll output the entire table for illustrative purposes also"
872   ]
873  },
874  {
875   "cell_type": "code",
876   "execution_count": 10,
877   "metadata": {},
878   "outputs": [
879    {
880     "name": "stdout",
881     "output_type": "stream",
882     "text": [
883      "Raw Resolution Data: All Entries\n",
884      "Resolution      | Count     | Cum Percentage of Total\n",
885      "--------------------------------------------------\n",
886      "1366.0 x 654.0  | 2097      | 9.33\n",
887      "1366.0 x 635.0  | 778       | 12.791\n",
888      "1920.0 x 966.0  | 762       | 16.182\n",
889      "1366.0 x 632.0  | 668       | 19.154\n",
890      "1680.0 x 936.0  | 489       | 21.329\n",
891      "1536.0 x 728.2  | 427       | 23.229\n",
892      "1366.0 x 611.0  | 420       | 25.098\n",
893      "1600.0 x 786.0  | 403       | 26.891\n",
894      "1280.0 x 910.0  | 389       | 28.622\n",
895      "1680.0 x 895.0  | 375       | 30.29\n",
896      "1920.0 x 944.0  | 371       | 31.941\n",
897      "1366.0 x 768.0  | 307       | 33.307\n",
898      "1920.0 x 1080.0 | 305       | 34.664\n",
899      "1092.8 x 512.3  | 298       | 35.989\n",
900      "1600.0 x 764.0  | 278       | 37.226\n",
901      "1218.0 x 646.0  | 258       | 38.374\n",
902      "1280.0 x 891.0  | 244       | 39.46\n",
903      "1920.0 x 1005.0 | 238       | 40.519\n",
904      "1024.0 x 654.0  | 234       | 41.56\n",
905      "1440.0 x 796.3  | 225       | 42.561\n",
906      "1024.0 x 632.0  | 221       | 43.544\n",
907      "1536.0 x 750.2  | 220       | 44.523\n",
908      "1920.0 x 916.0  | 212       | 45.466\n",
909      "1600.0 x 900.0  | 192       | 46.321\n",
910      "1536.0 x 789.4  | 190       | 47.166\n",
911      "1024.0 x 464.0  | 189       | 48.007\n",
912      "1024.0 x 613.0  | 187       | 48.839\n",
913      "1440.0 x 786.0  | 181       | 49.644\n",
914      "1600.0 x 724.0  | 170       | 50.4\n",
915      "780.0 x 500.0   | 164       | 51.13\n",
916      "1280.0 x 577.0  | 164       | 51.86\n",
917      "1366.0 x 622.0  | 160       | 52.572\n",
918      "1920.0 x 956.0  | 158       | 53.275\n",
919      "1024.0 x 635.0  | 156       | 53.969\n",
920      "1666.0 x 788.0  | 155       | 54.658\n",
921      "1266.0 x 898.0  | 151       | 55.33\n",
922      "1366.0 x 669.0  | 146       | 55.98\n",
923      "1366.0 x 626.0  | 145       | 56.625\n",
924      "1920.0 x 976.0  | 142       | 57.257\n",
925      "1908.0 x 909.0  | 142       | 57.888\n",
926      "1280.0 x 865.0  | 141       | 58.516\n",
927      "1263.0 x 853.0  | 138       | 59.13\n",
928      "1600.0 x 781.0  | 129       | 59.704\n",
929      "1366.0 x 604.0  | 123       | 60.251\n",
930      "1366.0 x 671.0  | 122       | 60.794\n",
931      "1280.0 x 896.0  | 113       | 61.296\n",
932      "788.0 x 722.0   | 112       | 61.795\n",
933      "1280.0 x 606.3  | 102       | 62.249\n",
934      "1280.0 x 888.0  | 102       | 62.702\n",
935      "1024.0 x 768.0  | 102       | 63.156\n",
936      "1366.0 x 664.0  | 102       | 63.61\n",
937      "1440.0 x 777.0  | 100       | 64.055\n",
938      "1532.0 x 877.0  | 95        | 64.478\n",
939      "1680.0 x 891.0  | 94        | 64.896\n",
940      "1280.0 x 645.0  | 91        | 65.301\n",
941      "1742.0 x 964.0  | 90        | 65.701\n",
942      "1366.0 x 693.0  | 89        | 66.097\n",
943      "1600.0 x 750.0  | 88        | 66.489\n",
944      "1586.0 x 735.0  | 86        | 66.871\n",
945      "1440.0 x 764.0  | 85        | 67.25\n",
946      "1600.0 x 736.0  | 84        | 67.623\n",
947      "1280.0 x 566.8  | 79        | 67.975\n",
948      "1280.0 x 584.3  | 79        | 68.326\n",
949      "1600.0 x 767.0  | 78        | 68.673\n",
950      "1535.2 x 864.2  | 76        | 69.011\n",
951      "1920.0 x 1064.0 | 75        | 69.345\n",
952      "1352.0 x 620.0  | 75        | 69.679\n",
953      "1680.0 x 917.0  | 75        | 70.012\n",
954      "1264.0 x 897.0  | 74        | 70.342\n",
955      "826.0 x 468.0   | 72        | 70.662\n",
956      "1536.0 x 864.0  | 71        | 70.978\n",
957      "1536.0 x 727.0  | 70        | 71.289\n",
958      "1398.0 x 778.0  | 68        | 71.592\n",
959      "1724.0 x 865.0  | 67        | 71.89\n",
960      "1238.0 x 882.0  | 66        | 72.184\n",
961      "1920.0 x 980.0  | 66        | 72.477\n",
962      "1595.0 x 778.0  | 66        | 72.771\n",
963      "1920.0 x 947.0  | 66        | 73.065\n",
964      "1637.0 x 778.0  | 65        | 73.354\n",
965      "1280.0 x 720.0  | 64        | 73.639\n",
966      "1261.0 x 882.0  | 64        | 73.923\n",
967      "1024.0 x 486.0  | 63        | 74.204\n",
968      "1600.0 x 796.0  | 63        | 74.484\n",
969      "1266.0 x 637.0  | 62        | 74.76\n",
970      "1243.0 x 882.0  | 61        | 75.031\n",
971      "1623.0 x 778.0  | 61        | 75.303\n",
972      "1368.0 x 798.0  | 60        | 75.569\n",
973      "788.0 x 748.0   | 58        | 75.828\n",
974      "1024.0 x 626.0  | 58        | 76.086\n",
975      "1366.0 x 591.0  | 56        | 76.335\n",
976      "1920.0 x 948.0  | 55        | 76.579\n",
977      "1784.0 x 883.7  | 55        | 76.824\n",
978      "800.0 x 600.0   | 54        | 77.064\n",
979      "1642.0 x 1006.0 | 53        | 77.3\n",
980      "1449.0 x 877.0  | 52        | 77.532\n",
981      "1280.0 x 645.7  | 52        | 77.763\n",
982      "1099.0 x 647.0  | 50        | 77.985\n",
983      "1344.0 x 676.7  | 50        | 78.208\n",
984      "1042.8 x 569.0  | 47        | 78.417\n",
985      "696.0 x 481.0   | 46        | 78.622\n",
986      "1261.0 x 863.0  | 46        | 78.826\n",
987      "1366.0 x 618.0  | 45        | 79.027\n",
988      "1920.0 x 978.0  | 43        | 79.218\n",
989      "1338.0 x 604.0  | 43        | 79.409\n",
990      "798.0 x 599.0   | 42        | 79.596\n",
991      "1366.0 x 613.0  | 42        | 79.783\n",
992      "1680.0 x 914.0  | 40        | 79.961\n",
993      "1024.0 x 627.0  | 40        | 80.139\n",
994      "1920.0 x 977.0  | 39        | 80.312\n",
995      "1536.0 x 751.8  | 39        | 80.486\n",
996      "1491.0 x 889.0  | 39        | 80.659\n",
997      "1366.0 x 631.0  | 38        | 80.828\n",
998      "1022.0 x 767.0  | 37        | 80.993\n",
999      "1536.0 x 758.2  | 37        | 81.158\n",
1000      "1315.0 x 647.0  | 37        | 81.322\n",
1001      "1280.0 x 556.3  | 37        | 81.487\n",
1002      "1024.0 x 668.0  | 35        | 81.643\n",
1003      "1920.0 x 925.0  | 33        | 81.789\n",
1004      "1280.0 x 664.0  | 33        | 81.936\n",
1005      "878.0 x 651.0   | 32        | 82.079\n",
1006      "1259.0 x 883.0  | 32        | 82.221\n",
1007      "1262.0 x 882.0  | 31        | 82.359\n",
1008      "1515.0 x 889.0  | 30        | 82.492\n",
1009      "1261.0 x 873.0  | 29        | 82.621\n",
1010      "1536.0 x 729.8  | 29        | 82.75\n",
1011      "1536.0 x 960.0  | 28        | 82.875\n",
1012      "1056.0 x 577.0  | 28        | 83.0\n",
1013      "1266.0 x 850.0  | 27        | 83.12\n",
1014      "1135.0 x 620.0  | 27        | 83.24\n",
1015      "1050.0 x 569.0  | 26        | 83.356\n",
1016      "1908.0 x 959.0  | 25        | 83.467\n",
1017      "1320.0 x 789.4  | 25        | 83.578\n",
1018      "1449.0 x 881.0  | 25        | 83.689\n",
1019      "2560.0 x 1304.0 | 25        | 83.8\n",
1020      "1266.0 x 903.0  | 25        | 83.912\n",
1021      "1604.0 x 733.0  | 25        | 84.023\n",
1022      "1440.0 x 826.0  | 25        | 84.134\n",
1023      "1679.0 x 926.0  | 25        | 84.245\n",
1024      "1536.0 x 759.8  | 24        | 84.352\n",
1025      "830.0 x 710.0   | 24        | 84.459\n",
1026      "1449.0 x 882.0  | 24        | 84.566\n",
1027      "1046.0 x 569.0  | 24        | 84.673\n",
1028      "1243.0 x 954.0  | 24        | 84.779\n",
1029      "1268.0 x 853.0  | 23        | 84.882\n",
1030      "1352.0 x 647.0  | 23        | 84.984\n",
1031      "1280.0 x 869.0  | 23        | 85.086\n",
1032      "1060.0 x 954.0  | 23        | 85.189\n",
1033      "1857.0 x 984.0  | 23        | 85.291\n",
1034      "1280.0 x 689.7  | 22        | 85.389\n",
1035      "1352.0 x 646.0  | 22        | 85.487\n",
1036      "1024.0 x 664.0  | 22        | 85.585\n",
1037      "1366.0 x 668.0  | 21        | 85.678\n",
1038      "1440.0 x 745.0  | 21        | 85.771\n",
1039      "1085.0 x 486.0  | 21        | 85.865\n",
1040      "1600.0 x 731.0  | 20        | 85.954\n",
1041      "1280.0 x 585.8  | 19        | 86.038\n",
1042      "1600.0 x 777.0  | 19        | 86.123\n",
1043      "1452.0 x 919.0  | 19        | 86.208\n",
1044      "1142.0 x 647.0  | 18        | 86.288\n",
1045      "1920.0 x 917.0  | 18        | 86.368\n",
1046      "1280.0 x 950.0  | 18        | 86.448\n",
1047      "1600.0 x 825.0  | 18        | 86.528\n",
1048      "1046.8 x 569.0  | 18        | 86.608\n",
1049      "1902.0 x 996.0  | 18        | 86.688\n",
1050      "1452.0 x 742.0  | 18        | 86.768\n",
1051      "1283.2 x 699.8  | 17        | 86.844\n",
1052      "1024.0 x 618.0  | 17        | 86.919\n",
1053      "1280.0 x 654.0  | 17        | 86.995\n",
1054      "1920.0 x 1006.0 | 17        | 87.071\n",
1055      "1816.0 x 913.7  | 17        | 87.146\n",
1056      "1460.0 x 954.0  | 17        | 87.222\n",
1057      "802.0 x 722.0   | 17        | 87.298\n",
1058      "713.0 x 568.0   | 16        | 87.369\n",
1059      "2048.0 x 1047.8 | 16        | 87.44\n",
1060      "1150.0 x 654.0  | 16        | 87.511\n",
1061      "1536.0 x 730.2  | 16        | 87.582\n",
1062      "1842.0 x 954.0  | 16        | 87.653\n",
1063      "988.0 x 549.0   | 16        | 87.725\n",
1064      "1600.0 x 688.0  | 16        | 87.796\n",
1065      "1260.0 x 882.0  | 15        | 87.863\n",
1066      "1920.0 x 920.0  | 15        | 87.929\n",
1067      "1392.0 x 888.0  | 15        | 87.996\n",
1068      "1158.0 x 660.0  | 15        | 88.063\n",
1069      "1662.0 x 916.0  | 15        | 88.13\n",
1070      "1536.0 x 686.0  | 15        | 88.196\n",
1071      "1192.0 x 620.0  | 14        | 88.259\n",
1072      "1304.0 x 647.0  | 14        | 88.321\n",
1073      "1726.0 x 719.0  | 14        | 88.383\n",
1074      "1603.0 x 889.0  | 14        | 88.445\n",
1075      "1006.0 x 484.0  | 14        | 88.508\n",
1076      "1366.0 x 575.0  | 14        | 88.57\n",
1077      "955.0 x 937.0   | 14        | 88.632\n",
1078      "600.0 x 429.6   | 14        | 88.695\n",
1079      "1919.0 x 956.0  | 14        | 88.757\n",
1080      "1366.0 x 596.0  | 13        | 88.815\n",
1081      "1726.0 x 778.0  | 13        | 88.873\n",
1082      "1024.0 x 749.6  | 13        | 88.93\n",
1083      "784.0 x 720.0   | 12        | 88.984\n",
1084      "1150.0 x 632.0  | 11        | 89.033\n",
1085      "1902.0 x 964.0  | 11        | 89.082\n",
1086      "1336.0 x 642.0  | 11        | 89.131\n",
1087      "1280.0 x 874.0  | 11        | 89.18\n",
1088      "1349.0 x 650.0  | 11        | 89.229\n",
1089      "1329.0 x 619.0  | 11        | 89.277\n",
1090      "354.0 x 95.0    | 11        | 89.326\n",
1091      "1600.0 x 757.0  | 11        | 89.375\n",
1092      "774.0 x 722.0   | 11        | 89.424\n",
1093      "958.0 x 909.0   | 11        | 89.473\n",
1094      "980.0 x 909.0   | 11        | 89.522\n",
1095      "803.3 x 602.7   | 11        | 89.571\n",
1096      "The Rest        | 2344      | 100.0\n"
1097     ]
1098    }
1099   ],
1100   "source": [
1101    "MAX_COUNT_JUSTIFICATION = 9\n",
1102    "totalWindows = np.sum([w.numWindows for w in windata])\n",
1103    "runningSum = 0.0\n",
1104    "\n",
1105    "print \"Raw Resolution Data: All Entries\"\n",
1106    "print \"Resolution\".ljust(15), \"|\", \"Count\".ljust(MAX_COUNT_JUSTIFICATION), \"|\", \"Cum Percentage of Total\"\n",
1107    "print \"-\" * 50\n",
1108    "lessThanThreeSum = 0\n",
1109    "for i in windata:\n",
1110    "    runningSum += i.numWindows\n",
1111    "    if i.numWindows > 10:\n",
1112    "        print i.resolution().ljust(15), \"|\", \\\n",
1113    "          str(i.numWindows).ljust(MAX_COUNT_JUSTIFICATION), \"|\", \\\n",
1114    "          round(100 * (runningSum / totalWindows), 3)\n",
1115    "    else:\n",
1116    "        lessThanThreeSum += i.numWindows\n",
1117    "print \"The Rest\".ljust(15), \"|\", str(lessThanThreeSum).ljust(MAX_COUNT_JUSTIFICATION), \"|\", \\\n",
1118    "    round(100 * (runningSum / totalWindows), 3)"
1119   ]
1120  },
1121  {
1122   "cell_type": "markdown",
1123   "metadata": {},
1124   "source": [
1125    "# Now we're going to fit these Windows into some buckets."
1126   ]
1127  },
1128  {
1129   "cell_type": "code",
1130   "execution_count": 11,
1131   "metadata": {},
1132   "outputs": [
1133    {
1134     "name": "stdout",
1135     "output_type": "stream",
1136     "text": [
1137      "Assigning SteppedRangeProposal:[(50, 50, 500, 50, 50, 500), (50, 50, 500, 500, 100, 2500), (500, 100, 2500, 50, 50, 500), (500, 100, 2500, 500, 100, 2500), (50, 50, 500, 2500, 200, 4500), (2500, 200, 4500, 50, 50, 500), (500, 100, 2500, 2500, 200, 4500), (2500, 200, 4500, 500, 100, 2500), (2500, 200, 4500, 2500, 200, 4500)] then reduced to 0.97\n"
1138     ]
1139    }
1140   ],
1141   "source": [
1142    "maxWidth = 4500\n",
1143    "maxHeight = 4500\n",
1144    "\n",
1145    "stepSets1 = [\n",
1146    "    (50, 50, 500, 50, 50, 500),\n",
1147    "\n",
1148    "    (50, 50, 500, 500, 100, 2500),\n",
1149    "    (500, 100, 2500, 50, 50, 500),\n",
1150    "    (500, 100, 2500, 500, 100, 2500),\n",
1151    "\n",
1152    "    (50, 50, 500, 2500, 200, 4500),\n",
1153    "    (2500, 200, 4500, 50, 50, 500),\n",
1154    "    (500, 100, 2500, 2500, 200, 4500),\n",
1155    "    (2500, 200, 4500, 500, 100, 2500),\n",
1156    "    (2500, 200, 4500, 2500, 200, 4500)\n",
1157    "]\n",
1158    "stepSets2 = [\n",
1159    "    (50, 50, 500, 50, 50, 500),\n",
1160    "\n",
1161    "    (50, 50, 500, 500, 100, 1500),\n",
1162    "    (500, 100, 1500, 50, 50, 500),\n",
1163    "    (500, 100, 1500, 500, 100, 1500),\n",
1164    "\n",
1165    "    (50, 50, 500, 1500, 200, 4500),\n",
1166    "    (1500, 200, 4500, 50, 50, 500),\n",
1167    "    (500, 100, 1500, 1500, 200, 4500),\n",
1168    "    (1500, 200, 4500, 500, 100, 1500),\n",
1169    "    (1500, 200, 4500, 1500, 200, 4500)\n",
1170    "]\n",
1171    "\n",
1172    "proposals1 = [\n",
1173    "    SteppedRangeProposalThenReductionProposal(stepSets1, .97),\n",
1174    "]\n",
1175    "proposals = [\n",
1176    "    # Original Step Size Proposals\n",
1177    "    RangeProposal(50,maxWidth,50,maxHeight),\n",
1178    "    RangeProposal(100,maxWidth,100,maxHeight),\n",
1179    "    RangeProposal(200,maxWidth,200,maxHeight),\n",
1180    "    \n",
1181    "    RangeProposal(100,maxWidth,50,maxHeight),\n",
1182    "    RangeProposal(200,maxWidth,50,maxHeight),\n",
1183    "    \n",
1184    "    RangeProposal(50,maxWidth,100,maxHeight),\n",
1185    "    RangeProposal(50,maxWidth,200,maxHeight),\n",
1186    "    \n",
1187    "    # With Reductions\n",
1188    "    RangeThenReductionProposal(100,maxWidth,100,maxHeight, .97),\n",
1189    "    RangeThenReductionProposal(200,maxWidth,200,maxHeight, .97),\n",
1190    "    \n",
1191    "    RangeThenReductionProposal(100,maxWidth,50,maxHeight, .97),\n",
1192    "    RangeThenReductionProposal(200,maxWidth,50,maxHeight, .97),\n",
1193    "    \n",
1194    "    RangeThenReductionProposal(50,maxWidth,100,maxHeight, .97),\n",
1195    "    RangeThenReductionProposal(50,maxWidth,200,maxHeight, .97),\n",
1196    "    \n",
1197    "    # Range Steps with Horizontal Factors\n",
1198    "    RangeProposal(16,maxWidth,50,maxHeight),\n",
1199    "    RangeProposal(16,maxWidth,100,maxHeight),\n",
1200    "    RangeProposal(16,maxWidth,200,maxHeight),\n",
1201    "    RangeProposal(32,maxWidth,50,maxHeight),\n",
1202    "    RangeProposal(32,maxWidth,100,maxHeight),\n",
1203    "    RangeProposal(32,maxWidth,200,maxHeight),\n",
1204    "    RangeProposal(64,maxWidth,50,maxHeight),\n",
1205    "    RangeProposal(64,maxWidth,100,maxHeight),\n",
1206    "    RangeProposal(64,maxWidth,200,maxHeight),\n",
1207    "    RangeProposal(128,maxWidth,50,maxHeight),\n",
1208    "    RangeProposal(128,maxWidth,100,maxHeight),\n",
1209    "    RangeProposal(128,maxWidth,200,maxHeight),\n",
1210    "    \n",
1211    "    # And as Reductions\n",
1212    "    RangeThenReductionProposal(32,maxWidth,200,maxHeight, .97),\n",
1213    "    RangeThenReductionProposal(64,maxWidth,100,maxHeight, .97),\n",
1214    "    RangeThenReductionProposal(64,maxWidth,200,maxHeight, .97),\n",
1215    "    RangeThenReductionProposal(128,maxWidth,50,maxHeight, .97),\n",
1216    "    RangeThenReductionProposal(128,maxWidth,100,maxHeight, .97),\n",
1217    "    RangeThenReductionProposal(128,maxWidth,200,maxHeight, .97),\n",
1218    "    RangeThenReductionProposal(128,maxWidth,200,maxHeight, .97),\n",
1219    "    \n",
1220    "    # Two Stepped Sized Proposals\n",
1221    "    SteppedRangeProposal(stepSets1),    \n",
1222    "    SteppedRangeProposal(stepSets2),\n",
1223    "    \n",
1224    "    # And run them as reductions too\n",
1225    "    SteppedRangeProposalThenReductionProposal(stepSets1, .97),\n",
1226    "    SteppedRangeProposalThenReductionProposal(stepSets2, .97)\n",
1227    "]\n",
1228    "for p in proposals:\n",
1229    "    print \"Assigning\", p\n",
1230    "    p.assignWindows(windata)"
1231   ]
1232  },
1233  {
1234   "cell_type": "code",
1235   "execution_count": 12,
1236   "metadata": {},
1237   "outputs": [
1238    {
1239     "name": "stdout",
1240     "output_type": "stream",
1241     "text": [
1242      "Name,Num Buckets,Num Non-Empty Buckets,Fitness,Num Buckets (A),Windows Dist (B),Wasted Space(C),Wasted Dist (C1),Wasted Avg (C2),Wasted Std (D)\n"
1243     ]
1244    },
1245    {
1246     "name": "stderr",
1247     "output_type": "stream",
1248     "text": [
1249      "/mnt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:82: RuntimeWarning: Degrees of freedom <= 0 for slice\n",
1250      "  warnings.warn(\"Degrees of freedom <= 0 for slice\", RuntimeWarning)\n",
1251      "/mnt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
1252      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n"
1253     ]
1254    },
1255    {
1256     "name": "stdout",
1257     "output_type": "stream",
1258     "text": [
1259      "SteppedRangeProposal:[(50: 50: 500: 50: 50: 500): (50: 50: 500: 500: 100: 2500): (500: 100: 2500: 50: 50: 500): (500: 100: 2500: 500: 100: 2500): (50: 50: 500: 2500: 200: 4500): (2500: 200: 4500: 50: 50: 500): (500: 100: 2500: 2500: 200: 4500): (2500: 200: 4500: 500: 100: 2500): (2500: 200: 4500: 2500: 200: 4500)] then reduced to 0.97,1601,48,0.830203704211,0.993012866563,0.623030532087,0.704771418193,0,0.880964272742,1\n"
1260     ]
1261    }
1262   ],
1263   "source": [
1264    "dumpArrayOfRanges(proposals)\n"
1265   ]
1266  },
1267  {
1268   "cell_type": "code",
1269   "execution_count": 13,
1270   "metadata": {},
1271   "outputs": [
1272    {
1273     "name": "stdout",
1274     "output_type": "stream",
1275     "text": [
1276      "SteppedRangeProposal:[(50, 50, 500, 50, 50, 500), (50, 50, 500, 500, 100, 2500), (500, 100, 2500, 50, 50, 500), (500, 100, 2500, 500, 100, 2500), (50, 50, 500, 2500, 200, 4500), (2500, 200, 4500, 50, 50, 500), (500, 100, 2500, 2500, 200, 4500), (2500, 200, 4500, 500, 100, 2500), (2500, 200, 4500, 2500, 200, 4500)] then reduced to 0.97\n",
1277      "\t1300x600,1900x900,1600x700,1200x800,1500x700,1000x600,1600x900,1200x600,1400x700,1900x1000,1600x800,1200x900,1000x500,1300x700,1200x500,1500x800,1000x450,700x500,700x700,1000x700,1400x800,1700x800,800x600,1100x600,1300x500,1700x900,1200x700,800x450,800x700,600x450,1400x900,900x900,1600x1000,450x450,300x300,600x400,600x600,1100x700,1800x900,1000x900,350x50,2500x1300,2000x1000,1300x800,1500x900,900x500,600x700\n",
1278      "\n"
1279     ]
1280    }
1281   ],
1282   "source": [
1283    "dumpBucketSizes(proposals)"
1284   ]
1285  },
1286  {
1287   "cell_type": "code",
1288   "execution_count": 14,
1289   "metadata": {},
1290   "outputs": [
1291    {
1292     "name": "stdout",
1293     "output_type": "stream",
1294     "text": [
1295      "SteppedRangeProposal:[(50, 50, 500, 50, 50, 500), (50, 50, 500, 500, 100, 2500), (500, 100, 2500, 50, 50, 500), (500, 100, 2500, 500, 100, 2500), (50, 50, 500, 2500, 200, 4500), (2500, 200, 4500, 50, 50, 500), (500, 100, 2500, 2500, 200, 4500), (2500, 200, 4500, 500, 100, 2500), (2500, 200, 4500, 2500, 200, 4500)] then reduced to 0.97\n",
1296      "Fitness(Num Buckets)   0.993012866563\n",
1297      "Fitness(Distribution)  0.623030532087\n",
1298      "Fitness(Wasted Space)  0.704771418193\n",
1299      "Fitness(Wasted Space Avg)  0.880964272742\n",
1300      "Fitness(Wasted Space Dist) 0\n",
1301      "Fitness(Std of Wasted) 1\n",
1302      "\n",
1303      "Fitness                0.830203704211\n",
1304      "\n",
1305      "Resolution      | Count     | Avg Wasted Space | Std of Wasted Space\n",
1306      "----------------------------------------------------------------------\n",
1307      "350.0 x 50.0    | 49        | 167.004          | 101.221    \n",
1308      "0.0 x 0.0       | 20        | 117978.0         | 74324.209  \n",
1309      "\n",
1310      "Resolution      | Count     | Avg Wasted Space | Std of Wasted Space\n",
1311      "----------------------------------------------------------------------\n",
1312      "300.0 x 300.0   | 69        | 42.331           | 34.193     \n",
1313      "350.0 x 50.0    | 49        | 167.004          | 101.221    \n",
1314      "0.0 x 0.0       | 20        | 117978.0         | 74324.209  \n",
1315      "\n",
1316      "=============================================================================\n"
1317     ]
1318    }
1319   ],
1320   "source": [
1321    "for p in proposals:\n",
1322    "    print str(p)\n",
1323    "    p.printFitness()\n",
1324    "    print \"\"\n",
1325    "    p.printUnusualAverages()\n",
1326    "    print \"\"\n",
1327    "    p.printUnusualStd()\n",
1328    "    print \"\"\n",
1329    "    print \"=============================================================================\""
1330   ]
1331  },
1332  {
1333   "cell_type": "code",
1334   "execution_count": 15,
1335   "metadata": {},
1336   "outputs": [
1337    {
1338     "name": "stdout",
1339     "output_type": "stream",
1340     "text": [
1341      "SteppedRangeProposal:[(50, 50, 500, 50, 50, 500), (50, 50, 500, 500, 100, 2500), (500, 100, 2500, 50, 50, 500), (500, 100, 2500, 500, 100, 2500), (50, 50, 500, 2500, 200, 4500), (2500, 200, 4500, 50, 50, 500), (500, 100, 2500, 2500, 200, 4500), (2500, 200, 4500, 500, 100, 2500), (2500, 200, 4500, 2500, 200, 4500)] then reduced to 0.97\n"
1342     ]
1343    },
1344    {
1345     "data": {
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IDAzU9OnTrW+eXbJkiSpWrKjw8PASv3nW0/Pitttu05QpUzRr1ixt3LjRevM2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\nFiotLU0hISGqU6fObZ+7bC39d999Z7eGX7oa7Pfs2aNdu3apbt26Dq843C4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1347      "text/plain": [
1348       "<matplotlib.figure.Figure at 0x7f5e3efe7fd0>"
1349      ]
1350     },
1351     "metadata": {},
1352     "output_type": "display_data"
1353    },
1354    {
1355     "data": {
1356      "image/png": 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PTx04cEBRUVH227/vvvvs4+vXr5+qVKmilJQUxcXF2b8Rs1GjRnrwwQcVEhJi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3btIjc3l5tvvnlYWfLz84lGoxw8eBCApqYm5syZQ2pq6uV+nfBt4MFLNgu8JEnSiFq0aBFNTU0D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\nLNcAWC7eu1JAQIB27dql3NxclS9f/obWX6dOHZux4R07dlR2drbmzJmjrl2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1357      "text/plain": [
1358       "<matplotlib.figure.Figure at 0x7f5e44bd7610>"
1359      ]
1360     },
1361     "metadata": {},
1362     "output_type": "display_data"
1363    },
1364    {
1365     "name": "stdout",
1366     "output_type": "stream",
1367     "text": [
1368      "---------------------\n",
1369      "Resolution      | Count     | Cum % of Total | Cum # of Total | Avg Wasted Space | Std of Wasted Space\n",
1370      "--------------------------------------------------------------------------------\n",
1371      "1300.0 x 600.0  | 5622      | 25.013         | 1 of 48        | 6.754            | 2.769    \n",
1372      "1900.0 x 900.0  | 2283      | 35.171         | 2 of 48        | 4.931            | 1.992    \n",
1373      "1600.0 x 700.0  | 1723      | 42.837         | 3 of 48        | 7.938            | 2.738    \n",
1374      "1200.0 x 800.0  | 1467      | 49.364         | 4 of 48        | 9.414            | 1.842    \n",
1375      "1500.0 x 700.0  | 1276      | 55.041         | 5 of 48        | 6.11             | 2.748    \n",
1376      "1000.0 x 600.0  | 1091      | 59.895         | 6 of 48        | 5.682            | 2.503    \n",
1377      "1600.0 x 900.0  | 894       | 63.873         | 7 of 48        | 2.905            | 1.724    \n",
1378      "1200.0 x 600.0  | 748       | 67.201         | 8 of 48        | 6.859            | 3.041    \n",
1379      "1400.0 x 700.0  | 670       | 70.182         | 9 of 48        | 10.076           | 2.053    \n",
1380      "1900.0 x 1000.0 | 661       | 73.122         | 10 of 48       | 4.178            | 2.995    \n",
1381      "1600.0 x 800.0  | 532       | 75.489         | 11 of 48       | 10.06            | 2.067    \n",
1382      "1200.0 x 900.0  | 521       | 77.807         | 12 of 48       | 2.933            | 5.003    \n",
1383      "1000.0 x 500.0  | 515       | 80.099         | 13 of 48       | 6.906            | 4.42     \n",
1384      "1300.0 x 700.0  | 496       | 82.306         | 14 of 48       | 9.703            | 1.483    \n",
1385      "1200.0 x 500.0  | 421       | 84.179         | 15 of 48       | 13.455           | 1.496    \n",
1386      "1500.0 x 800.0  | 308       | 85.549         | 16 of 48       | 7.946            | 1.124    \n",
1387      "1000.0 x 450.0  | 306       | 86.91          | 17 of 48       | 4.546            | 2.259    \n",
1388      "700.0 x 500.0   | 279       | 88.152         | 18 of 48       | 6.701            | 7.298    \n",
1389      "700.0 x 700.0   | 261       | 89.313         | 19 of 48       | 5.094            | 2.535    \n",
1390      "1000.0 x 700.0  | 236       | 90.363         | 20 of 48       | 8.357            | 3.638    \n",
1391      "1400.0 x 800.0  | 191       | 91.213         | 21 of 48       | 8.087            | 2.655    \n",
1392      "1700.0 x 800.0  | 148       | 91.871         | 22 of 48       | 8.003            | 1.809    \n",
1393      "800.0 x 600.0   | 147       | 92.525         | 23 of 48       | 3.998            | 3.891    \n",
1394      "1100.0 x 600.0  | 123       | 93.073         | 24 of 48       | 6.064            | 2.734    \n",
1395      "1300.0 x 500.0  | 113       | 93.575         | 25 of 48       | 14.965           | 1.279    \n",
1396      "1700.0 x 900.0  | 103       | 94.034         | 26 of 48       | 6.015            | 1.282    \n",
1397      "1200.0 x 700.0  | 102       | 94.487         | 27 of 48       | 4.621            | 2.193    \n",
1398      "800.0 x 450.0   | 95        | 94.91          | 28 of 48       | 4.514            | 2.057    \n",
1399      "800.0 x 700.0   | 95        | 95.333         | 29 of 48       | 5.991            | 6.46     \n",
1400      "600.0 x 450.0   | 82        | 95.698         | 30 of 48       | 8.263            | 4.228    \n",
1401      "1400.0 x 900.0  | 79        | 96.049         | 31 of 48       | 2.98             | 2.058    \n",
1402      "900.0 x 900.0   | 75        | 96.383         | 32 of 48       | 3.095            | 1.775    \n",
1403      "1600.0 x 1000.0 | 74        | 96.712         | 33 of 48       | 4.869            | 9.387    \n",
1404      "450.0 x 450.0   | 73        | 97.037         | 34 of 48       | 45.784           | 29.141   \n",
1405      "300.0 x 300.0   | 69        | 97.344         | 35 of 48       | 42.331           | 34.193   \n",
1406      "600.0 x 400.0   | 67        | 97.642         | 36 of 48       | 7.454            | 4.197    \n",
1407      "600.0 x 600.0   | 63        | 97.922         | 37 of 48       | 7.566            | 3.335    \n",
1408      "1100.0 x 700.0  | 60        | 98.189         | 38 of 48       | 9.468            | 6.995    \n",
1409      "1800.0 x 900.0  | 59        | 98.452         | 39 of 48       | 5.368            | 2.81     \n",
1410      "1000.0 x 900.0  | 49        | 98.67          | 40 of 48       | 5.079            | 3.079    \n",
1411      "350.0 x 50.0    | 49        | 98.888         | 41 of 48       | 167.004          | 101.221  \n",
1412      "2500.0 x 1300.0 | 43        | 99.079         | 42 of 48       | 3.017            | 3.492    \n",
1413      "2000.0 x 1000.0 | 40        | 99.257         | 43 of 48       | 10.159           | 19.825   \n",
1414      "1300.0 x 800.0  | 39        | 99.431         | 44 of 48       | 9.368            | 2.339    \n",
1415      "1500.0 x 900.0  | 39        | 99.604         | 45 of 48       | 4.951            | 1.953    \n",
1416      "900.0 x 500.0   | 36        | 99.764         | 46 of 48       | 12.056           | 3.745    \n",
1417      "600.0 x 700.0   | 33        | 99.911         | 47 of 48       | 7.852            | 8.706    \n",
1418      "0.0 x 0.0       | 20        | 100.0          | 48 of 48       | 117978.0         | 74324.209\n",
1419      "---------------------\n",
1420      "\n",
1421      "Unusual Averages\n",
1422      "350.0 x 50.0\n",
1423      "957.0 x 294.0 : 1\n",
1424      "1055.2 x 264.2 : 1\n",
1425      "983.0 x 275.0 : 1\n",
1426      "1191.0 x 205.0 : 3\n",
1427      "998.0 x 238.0 : 1\n",
1428      "1152.0 x 195.0 : 1\n",
1429      "998.0 x 223.0 : 2\n",
1430      "1150.0 x 192.0 : 1\n",
1431      "1191.0 x 169.0 : 1\n",
1432      "835.0 x 216.0 : 1\n",
1433      "745.0 x 227.0 : 1\n",
1434      "679.0 x 222.0 : 2\n",
1435      "600.0 x 250.0 : 1\n",
1436      "679.0 x 217.0 : 1\n",
1437      "779.0 x 162.0 : 1\n",
1438      "998.0 x 117.0 : 1\n",
1439      "478.0 x 239.0 : 1\n",
1440      "998.0 x 106.0 : 1\n",
1441      "779.0 x 130.0 : 1\n",
1442      "400.0 x 250.0 : 3\n",
1443      "498.0 x 199.0 : 1\n",
1444      "779.0 x 96.0 : 1\n",
1445      "354.0 x 139.0 : 1\n",
1446      "350.0 x 140.0 : 1\n",
1447      "354.0 x 119.0 : 1\n",
1448      "350.0 x 120.0 : 1\n",
1449      "354.0 x 99.0 : 3\n",
1450      "350.0 x 100.0 : 3\n",
1451      "354.0 x 95.0 : 11\n",
1452      "\n",
1453      "0.0 x 0.0\n",
1454      "268.0 x 314.0 : 1\n",
1455      "300.0 x 157.0 : 2\n",
1456      "300.0 x 133.0 : 2\n",
1457      "289.0 x 120.0 : 1\n",
1458      "285.0 x 121.0 : 1\n",
1459      "300.0 x 107.0 : 2\n",
1460      "300.0 x 56.0 : 1\n",
1461      "120.0 x 100.0 : 1\n",
1462      "116.0 x 100.0 : 1\n",
1463      "84.0 x 133.0 : 1\n",
1464      "403.0 x 25.0 : 1\n",
1465      "333.6 x 25.0 : 1\n",
1466      "285.0 x 25.0 : 1\n",
1467      "144.0 x 25.0 : 3\n",
1468      "0.0 x 0.0 : 1\n",
1469      "\n",
1470      "---------------------\n",
1471      "\n",
1472      "Unusual STD\n",
1473      "300.0 x 300.0\n",
1474      "1450.7 x 379.9 : 1\n",
1475      "1531.2 x 349.2 : 1\n",
1476      "1266.0 x 387.0 : 1\n",
1477      "1151.3 x 369.7 : 1\n",
1478      "983.0 x 374.0 : 1\n",
1479      "1131.0 x 323.0 : 1\n",
1480      "1157.0 x 314.0 : 1\n",
1481      "988.0 x 367.0 : 1\n",
1482      "983.0 x 365.0 : 1\n",
1483      "988.0 x 357.0 : 1\n",
1484      "877.6 x 369.0 : 1\n",
1485      "988.0 x 314.0 : 1\n",
1486      "399.0 x 748.0 : 1\n",
1487      "741.0 x 396.0 : 2\n",
1488      "760.0 x 380.0 : 3\n",
1489      "698.0 x 399.0 : 1\n",
1490      "420.0 x 653.0 : 2\n",
1491      "814.0 x 331.0 : 2\n",
1492      "798.0 x 325.0 : 1\n",
1493      "671.0 x 386.0 : 1\n",
1494      "796.0 x 324.0 : 1\n",
1495      "358.0 x 720.0 : 1\n",
1496      "718.0 x 354.0 : 1\n",
1497      "339.0 x 748.0 : 1\n",
1498      "796.0 x 313.0 : 1\n",
1499      "320.0 x 722.0 : 1\n",
1500      "741.0 x 308.0 : 1\n",
1501      "316.0 x 720.0 : 2\n",
1502      "539.0 x 422.0 : 3\n",
1503      "515.0 x 440.0 : 1\n",
1504      "740.0 x 306.0 : 3\n",
1505      "598.0 x 359.0 : 2\n",
1506      "405.6 x 520.0 : 1\n",
1507      "659.0 x 314.0 : 4\n",
1508      "624.0 x 330.0 : 2\n",
1509      "434.0 x 474.0 : 1\n",
1510      "518.0 x 396.0 : 1\n",
1511      "410.0 x 500.0 : 1\n",
1512      "587.0 x 347.0 : 4\n",
1513      "626.0 x 325.0 : 3\n",
1514      "587.0 x 325.0 : 1\n",
1515      "360.0 x 500.0 : 1\n",
1516      "371.0 x 445.0 : 1\n",
1517      "479.0 x 339.0 : 1\n",
1518      "320.0 x 500.0 : 1\n",
1519      "486.0 x 320.0 : 1\n",
1520      "300.7 x 307.0 : 3\n",
1521      "\n",
1522      "350.0 x 50.0\n",
1523      "957.0 x 294.0 : 1\n",
1524      "1055.2 x 264.2 : 1\n",
1525      "983.0 x 275.0 : 1\n",
1526      "1191.0 x 205.0 : 3\n",
1527      "998.0 x 238.0 : 1\n",
1528      "1152.0 x 195.0 : 1\n",
1529      "998.0 x 223.0 : 2\n",
1530      "1150.0 x 192.0 : 1\n",
1531      "1191.0 x 169.0 : 1\n",
1532      "835.0 x 216.0 : 1\n",
1533      "745.0 x 227.0 : 1\n",
1534      "679.0 x 222.0 : 2\n",
1535      "600.0 x 250.0 : 1\n",
1536      "679.0 x 217.0 : 1\n",
1537      "779.0 x 162.0 : 1\n",
1538      "998.0 x 117.0 : 1\n",
1539      "478.0 x 239.0 : 1\n",
1540      "998.0 x 106.0 : 1\n",
1541      "779.0 x 130.0 : 1\n",
1542      "400.0 x 250.0 : 3\n",
1543      "498.0 x 199.0 : 1\n",
1544      "779.0 x 96.0 : 1\n",
1545      "354.0 x 139.0 : 1\n",
1546      "350.0 x 140.0 : 1\n",
1547      "354.0 x 119.0 : 1\n",
1548      "350.0 x 120.0 : 1\n",
1549      "354.0 x 99.0 : 3\n",
1550      "350.0 x 100.0 : 3\n",
1551      "354.0 x 95.0 : 11\n",
1552      "\n",
1553      "0.0 x 0.0\n",
1554      "268.0 x 314.0 : 1\n",
1555      "300.0 x 157.0 : 2\n",
1556      "300.0 x 133.0 : 2\n",
1557      "289.0 x 120.0 : 1\n",
1558      "285.0 x 121.0 : 1\n",
1559      "300.0 x 107.0 : 2\n",
1560      "300.0 x 56.0 : 1\n",
1561      "120.0 x 100.0 : 1\n",
1562      "116.0 x 100.0 : 1\n",
1563      "84.0 x 133.0 : 1\n",
1564      "403.0 x 25.0 : 1\n",
1565      "333.6 x 25.0 : 1\n",
1566      "285.0 x 25.0 : 1\n",
1567      "144.0 x 25.0 : 3\n",
1568      "0.0 x 0.0 : 1\n",
1569      "\n"
1570     ]
1571    }
1572   ],
1573   "source": [
1574    "for p in proposals:\n",
1575    "    print str(p)\n",
1576    "    p.graphDistribution()\n",
1577    "    p.graphWastedSpace()\n",
1578    "    print \"---------------------\"\n",
1579    "    p.printAssignments()\n",
1580    "    \n",
1581    "    print \"---------------------\"\n",
1582    "    print \"\"\n",
1583    "    print \"Unusual Averages\"\n",
1584    "    p.printUnusualAveragesDetailed()\n",
1585    "    print \"---------------------\"\n",
1586    "    print \"\"\n",
1587    "    print \"Unusual STD\"\n",
1588    "    p.printUnusualStdDetailed()\n",
1589    "    "
1590   ]
1591  },
1592  {
1593   "cell_type": "markdown",
1594   "metadata": {},
1595   "source": [
1596    "# ---------------------------------------------------------------------------\n",
1597    "# ---------------------------------------------------------------------------\n",
1598    "# ---------------------------------------------------------------------------"
1599   ]
1600  },
1601  {
1602   "cell_type": "markdown",
1603   "metadata": {},
1604   "source": [
1605    "# That was the raw, closest-fit assignments. Let's start optimizing\n",
1606    "We've just finished doing a closest-possible-fit for 50px increments. We need to start combining buckets. We're going to iterate and remove buckets that contain under a threshold, and then reprocess the data.\n",
1607    "\n",
1608    "We decide that 98% of all the windows created will be assigned into a nearest fit bucket; and the remaining 2% of windows will be reassigned into another bucket.  \n",
1609    "\n",
1610    "In what is a truley painful bit of processing, we can only remove one bucket at a time.\n",
1611    "Consider the data:\n",
1612    "```\n",
1613    "  key: 100 x 100  number: 1000\n",
1614    "  key: 500 x 500  number: 50\n",
1615    "  key: 600 x 600  number: 50\n",
1616    "```\n",
1617    "\n",
1618    "If we processed these all at once, cutting off the lower two buckets, we would stick all of these 100 x 100 bucket. Instead, perhaps we should merge 600 x 600 into 500 x 500, and then keep the 500 x 500 bucket. So we need to do this one bucket at a time, starting from the largest, descending.\n",
1619    "\n",
1620    "**TODO**: Order doesn't matter for this right? Or should we do it fewest number of windows to largest..."
1621   ]
1622  },
1623  {
1624   "cell_type": "raw",
1625   "metadata": {},
1626   "source": [
1627    "import copy\n",
1628    "\n",
1629    "CUM_CUTOFF_PERCENT = .98\n",
1630    "minimizedBucketsSplit = copy.deepcopy(bucketsSplit)\n",
1631    "minimizedBucketsCollected = copy.deepcopy(bucketsCollected)\n",
1632    "minimizedBucketsCollectedSorted = sorted(minimizedBucketsCollected.items(), key=lambda x : x[1]['numWindows'], reverse=True)\n",
1633    "\n",
1634    "# Determine MIN_CUTOFF\n",
1635    "minCutoff = None\n",
1636    "runningSum = 0.0\n",
1637    "print \"There are\", totalWindows, \"total windows and\", len(minimizedBucketsCollectedSorted), \"buckets.\"\n",
1638    "for (resolution,values) in minimizedBucketsCollectedSorted:\n",
1639    "    runningSum += values['numWindows']\n",
1640    "    if (runningSum / totalWindows) >= CUM_CUTOFF_PERCENT:\n",
1641    "        minCutoff = values['numWindows'] - 1\n",
1642    "        break\n",
1643    "print \"To hit\", str(CUM_CUTOFF_PERCENT*100) + \"% of windows, we drop buckets containing\", minCutoff, \"or fewer windows.\"\n",
1644    "\n",
1645    "# Now do the reprocessing\n",
1646    "print \"We started with\", len(minimizedBucketsCollectedSorted), \"buckets.\"\n",
1647    "shouldReprocess = True\n",
1648    "while shouldReprocess:\n",
1649    "    toReprocess = []\n",
1650    "    shouldReprocess = False\n",
1651    "    \n",
1652    "    reversedBucketPopularity = sorted(minimizedBucketsCollected.items(), key=lambda x : x[1]['numWindows'])\n",
1653    "    \n",
1654    "    for item in reversedBucketPopularity:\n",
1655    "        key = item[0]\n",
1656    "        if minimizedBucketsCollected[key]['numWindows'] < minCutoff and key != (0,0):\n",
1657    "            toReprocess.extend(minimizedBucketsCollected[key]['sourceData'])\n",
1658    "            minimizedBucketsSplit.remove(key)\n",
1659    "            minimizedBucketsCollected.pop(key)\n",
1660    "            shouldReprocess = True\n",
1661    "            break\n",
1662    "    \n",
1663    "    for w in toReprocess:\n",
1664    "        key = findBucket(minimizedBucketsSplit, w['resolution'])\n",
1665    "        minimizedBucketsCollected[key]['numWindows'] += w['numWindows']\n",
1666    "        minimizedBucketsCollected[key]['sourceData'].append(w)\n",
1667    "\n",
1668    "minimizedBucketsCollectedSorted = sorted(minimizedBucketsCollected.items(), key=lambda x : x[1]['numWindows'], reverse=True)\n",
1669    "print \"We finished with\", len(minimizedBucketsCollectedSorted), \"buckets.\"\n",
1670    "\n",
1671    "printBucketsCollectedSorted(\"Reduced Bucketed Data\", minimizedBucketsCollectedSorted)"
1672   ]
1673  },
1674  {
1675   "cell_type": "markdown",
1676   "metadata": {},
1677   "source": [
1678    "# Now let's graph the data we just calculated"
1679   ]
1680  },
1681  {
1682   "cell_type": "raw",
1683   "metadata": {
1684    "scrolled": true
1685   },
1686   "source": [
1687    "# This moves the ata around into the correct formats for graphing\n",
1688    "y = [str(resolution[0]) + 'x' + str(resolution[1]) for (resolution,values) in minimizedBucketsCollectedSorted]\n",
1689    "y_pos = np.arange(len(y))\n",
1690    "x = [values['numWindows'] for (resolution,values) in minimizedBucketsCollectedSorted]\n",
1691    "\n",
1692    "# And now we can graph the total number of windows that would fall into each bucket.\n",
1693    "plt.rcdefaults()\n",
1694    "fig_size = plt.rcParams[\"figure.figsize\"]\n",
1695    "fig_size[1] *= 5\n",
1696    "plt.rcParams[\"figure.figsize\"] = fig_size\n",
1697    "fig, ax = plt.subplots()\n",
1698    "\n",
1699    "ax.barh(y_pos, x, align='center',\n",
1700    "        color='green', ecolor='black')\n",
1701    "ax.set_yticks(y_pos)\n",
1702    "ax.set_yticklabels(y, fontsize=8)\n",
1703    "ax.invert_yaxis()  # labels read top-to-bottom\n",
1704    "ax.set_xlabel('Number of Windows')\n",
1705    "ax.set_title('Number of Windows per Resolution Bucket (OS = Windows)')\n",
1706    "plt.show()"
1707   ]
1708  },
1709  {
1710   "cell_type": "markdown",
1711   "metadata": {},
1712   "source": [
1713    "# Now let's calculate the wasted space for the buckets we chose.\n",
1714    "\n",
1715    "For a given resolution and bucket, we calculate the (raw) wasted space as before: the area of the original resolution minus the area of the bucket. (We don't score the vertical resolution any higher than the horizontal for now.)\n",
1716    "\n",
1717    "Then we turn it into a percentage: (area of wasted space) / (area of original resolution).\n",
1718    "\n",
1719    "Finally, for a bucket, we calculate the average and standard deviation of the percentage of wasted space for _all_ the original resolutions that got assigned into that bucket. We do this with the simple average and standard deviation functions.  This tells us (or at least implies):\n",
1720    " - About how much wasted space there is, on average, for a bucket\n",
1721    " - When a user has a window in that bucket, how likely it is that the window has near the average of everyone else.\n",
1722    " \n",
1723    "A large average value means we're wasting a lot of space in that bucket.\n",
1724    "\n",
1725    "A large standard deviation means there is a large variance between different windows that are assigned in that bucket. "
1726   ]
1727  },
1728  {
1729   "cell_type": "raw",
1730   "metadata": {},
1731   "source": [
1732    "# This function takes a bucket resolution and an array of raw resolutions that went into the bucket.\n",
1733    "# It returns an array containing the wasted space (as a percentage) of each of those raw resolutions\n",
1734    "# after they have been reduced to the bucket resolution.\n",
1735    "def calcWastedResolution(resolution, originalData):\n",
1736    "    totalResolution = (resolution[0] * resolution[1]) or 1\n",
1737    "    wastedValues = []\n",
1738    "    for v in originalData:\n",
1739    "        # Calculate the wasted space as a percentage\n",
1740    "        wasted = 100 * (scoreWastedSpace(resolution, v['resolution']) / totalResolution)\n",
1741    "        # If there were 5 windows, we enter the wasted space 5 times\n",
1742    "        wastedValues.extend([wasted for i in range(v['numWindows'])])\n",
1743    "    return wastedValues\n",
1744    "\n",
1745    "class WastedData:\n",
1746    "    resolutions = []\n",
1747    "    resolutionsSpacingForGraphing = None\n",
1748    "    wastedSpace = []\n",
1749    "    wastedSpaceStd = []\n",
1750    "\n",
1751    "wastedData = WastedData()\n",
1752    "    \n",
1753    "# This contains the resolutions\n",
1754    "wastedData.resolutions = [str(resolution[0]) + 'x' + str(resolution[1]) for (resolution,values) in minimizedBucketsCollectedSorted]\n",
1755    "# Ticks for graphing\n",
1756    "wastedData.resolutionsSpacingForGraphing = np.arange(len(wastedData.resolutions))\n",
1757    "\n",
1758    "# Here's where we do the calculations\n",
1759    "# x and xerr will be an array of the average and stddev wasted space for each resolution\n",
1760    "for (resolution,values) in minimizedBucketsCollectedSorted:\n",
1761    "    if resolution != splitResolution(wastedData.resolutions[len(wastedData.wastedSpace)]):\n",
1762    "        raise Exception(\"We're not matching the resolution to the data. \" + \\\n",
1763    "                        str(resolution) + \" != \" + str(wastedData.resolutions[len(wastedData.wastedSpace)]))\n",
1764    "    # For each resolution, get the average and stddev of the wasted space\n",
1765    "    wastedArray = calcWastedResolution(resolution, values['sourceData'])\n",
1766    "    wastedData.wastedSpace.append(round(np.average(wastedArray), 2))\n",
1767    "    wastedData.wastedSpaceStd.append(round(np.std(wastedArray), 2))"
1768   ]
1769  },
1770  {
1771   "cell_type": "markdown",
1772   "metadata": {},
1773   "source": [
1774    "# Print out the wasted space in a table\n",
1775    "\n",
1776    "We start by showing the outliers for wasted space - high percentages or high standard deviations. Then we show a table of all the raw values (ordered by most common resolutions)."
1777   ]
1778  },
1779  {
1780   "cell_type": "raw",
1781   "metadata": {},
1782   "source": [
1783    "def printHeader(h):\n",
1784    "    print \"\"\n",
1785    "    print h\n",
1786    "    print \"Resolution\".ljust(14), \"|\", \"Avg Wasted %\".ljust(12), \"|\", \"Std Dev\"\n",
1787    "    print \"-\" * 50\n",
1788    "    \n",
1789    "printHeader('> 100% Average Wasted Space')\n",
1790    "for i in range(len(wastedData.resolutions)):\n",
1791    "    if wastedData.wastedSpace[i] > 100:\n",
1792    "        print wastedData.resolutions[i].ljust(14), \"|\", str(wastedData.wastedSpace[i]).ljust(12), \"|\", str(wastedData.wastedSpaceStd[i]).ljust(7)\n",
1793    "        \n",
1794    "printHeader(\"stddev > 30\")\n",
1795    "for i in range(len(wastedData.resolutions)):\n",
1796    "    if wastedData.wastedSpaceStd[i] > 30:\n",
1797    "        print wastedData.resolutions[i].ljust(14), \"|\", str(wastedData.wastedSpace[i]).ljust(12), \"|\", str(wastedData.wastedSpaceStd[i]).ljust(7)\n",
1798    "\n",
1799    "printHeader(\"All\")\n",
1800    "for i in range(len(wastedData.resolutions)):\n",
1801    "    print wastedData.resolutions[i].ljust(14), \"|\", str(wastedData.wastedSpace[i]).ljust(12), \"|\", str(wastedData.wastedSpaceStd[i]).ljust(7)"
1802   ]
1803  },
1804  {
1805   "cell_type": "markdown",
1806   "metadata": {},
1807   "source": [
1808    "# Let's graph the wasted space"
1809   ]
1810  },
1811  {
1812   "cell_type": "raw",
1813   "metadata": {},
1814   "source": [
1815    "# Don't really know how to represent the 0x0 bucket here, and it\n",
1816    "# messes with the graph of all the others, so I omit it from the graph.\n",
1817    "forGraphing = copy.deepcopy(wastedData)\n",
1818    "try:\n",
1819    "    indx = forGraphing.resolutions.index('0.0x0.0')\n",
1820    "    forGraphing.resolutions.pop(indx)\n",
1821    "    forGraphing.resolutionsSpacingForGraphing = np.arange(len(forGraphing.resolutions))\n",
1822    "    forGraphing.wastedSpace.pop(indx)\n",
1823    "    forGraphing.wastedSpaceStd.pop(indx)\n",
1824    "except:\n",
1825    "    pass\n",
1826    "\n",
1827    "def graph(errorbars):\n",
1828    "    plt.rcdefaults()\n",
1829    "    fig, ax = plt.subplots()\n",
1830    "\n",
1831    "    ax.barh(forGraphing.resolutionsSpacingForGraphing, forGraphing.wastedSpace, xerr=forGraphing.wastedSpaceStd if errorbars else None, align='center',\n",
1832    "            color='green', ecolor='black')\n",
1833    "    ax.set_yticks(forGraphing.resolutionsSpacingForGraphing)\n",
1834    "    ax.set_yticklabels(forGraphing.resolutions, fontsize=8)\n",
1835    "    ax.invert_yaxis()  # labels read top-to-bottom\n",
1836    "    ax.set_xlabel('Percent of Bucket (Capped at 100%)')\n",
1837    "    ax.set_title('Wasted Resolution per Bucket As Percentage (OS = Windows)')\n",
1838    "    ax.set_xlim(0, 100)\n",
1839    "    plt.show()\n",
1840    "\n",
1841    "graph(False)\n",
1842    "graph(True)"
1843   ]
1844  },
1845  {
1846   "cell_type": "markdown",
1847   "metadata": {},
1848   "source": [
1849    "# Next Steps\n",
1850    "\n",
1851    "If we go back up to the 'Number of Windows per Resolution Bucket (OS = Windows)' we can see that even after reducing the number of buckets initially, there is a very large long tail of users who are uncommon.\n",
1852    "\n",
1853    "I think the next step is to derive a fitness function that balances the number of buckets and the distribution of users into those buckets against the wasted space.\n",
1854    "\n",
1855    "Then we can test reducing the buckets again and again and see how this looks against our fitness function."
1856   ]
1857  },
1858  {
1859   "cell_type": "raw",
1860   "metadata": {},
1861   "source": [
1862    "# As is getting normal, we exclude the weird 0x0 bucket from calculations\n",
1863    "def fitnessA(numBuckets):\n",
1864    "    return 0.9996482136067768 + \\\n",
1865    "        (-0.000140566459353168 * numBuckets) + \\\n",
1866    "        (-6.385233408635209e-7 * (numBuckets^2)) + \\\n",
1867    "        (2.2944717796500318e-10 * (numBuckets^3))\n",
1868    "\n",
1869    "def fitnessB(minimizedBucketsCollectedSorted):\n",
1870    "    windowsInBuckets = []\n",
1871    "    for (resolution,values) in minimizedBucketsCollectedSorted:\n",
1872    "        if resolution != (0,0):\n",
1873    "            windowsInBuckets.append(values['numWindows'])\n",
1874    "\n",
1875    "    val = (1 - (np.std(windowsInBuckets) / 4.0 / np.average(windowsInBuckets)))\n",
1876    "    return max(0, val)\n",
1877    "\n",
1878    "def fitnessC_Average(wastedData):\n",
1879    "    return 1 - np.average(wastedData.wastedSpace) / 100\n",
1880    "\n",
1881    "def fitnessC_Distribution(wastedData):\n",
1882    "    return max(0, (1 - (np.std(wastedData.wastedSpaceStd) / 4.0 / np.average(wastedData.wastedSpace))))\n",
1883    "\n",
1884    "def fitnessC(wastedData):\n",
1885    "    return (.2 * fitnessC_Distribution(wastedData)) + (.8 * fitnessC_Average(wastedData))\n",
1886    "\n",
1887    "def fitnessD(wastedData):\n",
1888    "    return 1\n",
1889    "\n",
1890    "def fitness(minimizedBucketsCollectedSorted, wastedData):\n",
1891    "    return fitnessA(len(minimizedBucketsCollectedSorted)) * \\\n",
1892    "        fitnessB(minimizedBucketsCollectedSorted) * \\\n",
1893    "        fitnessC(wastedData) * fitnessD(wastedData)\n",
1894    "\n",
1895    "just = max(len(\"Fitness(Num Buckets)\"), len(\"Fitness(Distribution)\"), len(\"Fitness(Wasted Space)\"), len(\"Fitness(Std of Wasted)\"))\n",
1896    "print \"Fitness(Num Buckets)\".ljust(just), fitnessA(len(minimizedBucketsCollectedSorted))\n",
1897    "print \"Fitness(Distribution)\".ljust(just), fitnessB(minimizedBucketsCollectedSorted)\n",
1898    "print \"Fitness(Wasted Space)\".ljust(just), fitnessC(wastedData)\n",
1899    "print \"Fitness(Wasted Space Avg) \".ljust(just), fitnessC_Average(wastedData)\n",
1900    "print \"Fitness(Wasted Space Dist)\".ljust(just), fitnessC_Distribution(wastedData)\n",
1901    "print \"Fitness(Std of Wasted)\".ljust(just), fitnessD(wastedData)\n",
1902    "print \"\"\n",
1903    "print \"Fitness\".ljust(just), fitness(minimizedBucketsCollectedSorted, wastedData)"
1904   ]
1905  }
1906 ],
1907 "metadata": {
1908  "anaconda-cloud": {},
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1910   "display_name": "Python [default]",
1911   "language": "python",
1912   "name": "python2"
1913  },
1914  "language_info": {
1915   "codemirror_mode": {
1916    "name": "ipython",
1917    "version": 2
1918   },
1919   "file_extension": ".py",
1920   "mimetype": "text/x-python",
1921   "name": "python",
1922   "nbconvert_exporter": "python",
1923   "pygments_lexer": "ipython2",
1924   "version": "2.7.12"
1925  }
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1928 "nbformat_minor": 1
1929}