##// END OF EJS Templates
removed %Rinline, %R has been converted to line_cell_magic
Jonathan Taylor -
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@@ -15,8 +15,9 b' from getopt import getopt'
15
15
16 # numpy and rpy2 imports
16 # numpy and rpy2 imports
17
17
18 import rpy2.rinterface as ri
19 import numpy as np
18 import numpy as np
19
20 import rpy2.rinterface as ri
20 import rpy2.robjects as ro
21 import rpy2.robjects as ro
21 from rpy2.robjects.numpy2ri import numpy2ri
22 from rpy2.robjects.numpy2ri import numpy2ri
22 ro.conversion.py2ri = numpy2ri
23 ro.conversion.py2ri = numpy2ri
@@ -24,7 +25,8 b' ro.conversion.py2ri = numpy2ri'
24 # IPython imports
25 # IPython imports
25
26
26 from IPython.core.displaypub import publish_display_data
27 from IPython.core.displaypub import publish_display_data
27 from IPython.core.magic import Magics, magics_class, cell_magic, line_magic
28 from IPython.core.magic import (Magics, magics_class, cell_magic, line_magic,
29 line_cell_magic)
28 from IPython.testing.skipdoctest import skip_doctest
30 from IPython.testing.skipdoctest import skip_doctest
29 from IPython.core.magic_arguments import (
31 from IPython.core.magic_arguments import (
30 argument, magic_arguments, parse_argstring
32 argument, magic_arguments, parse_argstring
@@ -46,7 +48,7 b' class RMagics(Magics):'
46
48
47 def eval(self, line):
49 def eval(self, line):
48 try:
50 try:
49 ri.baseenv['eval'](ri.parse(line))
51 return ri.baseenv['eval'](ri.parse(line))
50 except ri.RRuntimeError as msg:
52 except ri.RRuntimeError as msg:
51 self.output.append('ERROR parsing "%s": %s\n' % (line, msg))
53 self.output.append('ERROR parsing "%s": %s\n' % (line, msg))
52 pass
54 pass
@@ -58,7 +60,7 b' class RMagics(Magics):'
58 self.output.append(output)
60 self.output.append(output)
59
61
60 def flush(self):
62 def flush(self):
61 value = ''.join(self.output)
63 value = ''.join([s.decode('utf-8') for s in self.output])
62 self.output = []
64 self.output = []
63 return value
65 return value
64
66
@@ -112,26 +114,6 b' class RMagics(Magics):'
112 self.shell.push({output:self.Rconverter(self.r(output))})
114 self.shell.push({output:self.Rconverter(self.r(output))})
113
115
114
116
115 @line_magic
116 def Rinline(self, line):
117 '''
118 A line-level magic for R that executes
119 some code in R and stores the resulting
120 expression in the ipython shell.
121
122 Parameters
123 ----------
124
125 line: str
126
127 A string of Rcode to be evaluted
128 with return value passed to self.Rconverter.
129
130 '''
131 result = ri.baseenv['eval'](ri.parse(line))
132 return self.Rconverter(result)
133
134
135 @magic_arguments()
117 @magic_arguments()
136 @argument(
118 @argument(
137 '-i', '--input', action='append',
119 '-i', '--input', action='append',
@@ -162,42 +144,52 b' class RMagics(Magics):'
162 '-b', '--bg',
144 '-b', '--bg',
163 help='Background of png plotting device sent as an argument to *png* in R.'
145 help='Background of png plotting device sent as an argument to *png* in R.'
164 )
146 )
165 @cell_magic
147 @argument(
166 def R(self, line, cell):
148 'code',
149 nargs='*',
150 )
151 @line_cell_magic
152 def R(self, line, cell=None):
167 '''
153 '''
168 A cell-level magic for R.
154 A line_cell_magic for R that executes
169 The contents of the cell are evaluated using rpy2 with stdout
155 some code in R and stores the resulting
170 and graphics being captured and returned in the output of the cell.
156 expression in the ipython shell.
157
158 If the cell is None, resulting value is returned, after conversion
159 with self.Rconverter, otherwise it returns
160 None.
161
162 If the cell has contents that are published to the ipython
163 notebook, then the magic returns None. Otherwise,
164 if the resulting expressions are converted to arrays and returned.
171
165
172 Parameters
166 Parameters
173 ----------
167 ----------
174
168
175 line: {input, output, width, height, units, pointsize, bg}
169 line: str
176
177 Optional long arguments recognized by the cell magic.
178 The first two relate to passing python objects
179 back and forth between rpy2 and python:
180 '--input' should be a comma separated list of
181 names of objects in the namespace of the shell;
182 '--output' are names of object in the R namespace
183 that are returned as arrays.
184
170
185 All other line are passed as arguments to
171 A string of Rcode to be evaluted
186 the png plotting device in R.
172 with return value passed to self.Rconverter.
173 Any arguments that are not named options
174 are prepended to the cell-body if cell is not None.
187
175
188 cell: str
176 cell: str
189
177
190 String of R code to be executed by rpy2.
191 Anything written to stdout of R is captured,
192 as are plots (in the form of .png files) that
193 are published via ipython's frontend
194 publishing system.
195
196 '''
178 '''
197 # need to get the ipython instance for assigning
198
179
199 args = parse_argstring(self.R, line)
180 args = parse_argstring(self.R, line)
200
181
182 # arguments 'code' in line are prepended to
183 # the cell lines
184 if cell is None:
185 lines = []
186 return_output = True
187 else:
188 lines = cell.split('\n')
189 return_output = False
190
191 lines = args.code + lines
192
201 if args.input:
193 if args.input:
202 for input in ','.join(args.input).split(','):
194 for input in ','.join(args.input).split(','):
203 self.r.assign(input, self.pyconverter(self.shell.user_ns[input]))
195 self.r.assign(input, self.pyconverter(self.shell.user_ns[input]))
@@ -208,8 +200,7 b' class RMagics(Magics):'
208
200
209 tmpd = tempfile.mkdtemp()
201 tmpd = tempfile.mkdtemp()
210 self.r('png("%s/Rplots%%03d.png",%s)' % (tmpd, png_args))
202 self.r('png("%s/Rplots%%03d.png",%s)' % (tmpd, png_args))
211 lines = cell.split('\n')
203 result = [self.eval(line) for line in lines]
212 [self.eval(line) for line in lines]
213 self.r('dev.off()')
204 self.r('dev.off()')
214
205
215 # read out all the saved .png files
206 # read out all the saved .png files
@@ -222,15 +213,20 b' class RMagics(Magics):'
222 mimetypes = { 'png' : 'image/png', 'svg' : 'image/svg+xml' }
213 mimetypes = { 'png' : 'image/png', 'svg' : 'image/svg+xml' }
223 mime = mimetypes[fmt]
214 mime = mimetypes[fmt]
224
215
216 published = False
225 # publish the printed R objects, if any
217 # publish the printed R objects, if any
226 publish_display_data('Rmagic.cell_magic', {'text/plain':self.flush()})
218 flush = self.flush()
219 if flush:
220 published = True
221 publish_display_data('RMagic.R', {'text/plain':flush})
227
222
228 # flush text streams before sending figures, helps a little with output
223 # flush text streams before sending figures, helps a little with output
229 for image in images:
224 for image in images:
225 published = True
230 # synchronization in the console (though it's a bandaid, not a real sln)
226 # synchronization in the console (though it's a bandaid, not a real sln)
231 sys.stdout.flush(); sys.stderr.flush()
227 sys.stdout.flush(); sys.stderr.flush()
232 publish_display_data(
228 publish_display_data(
233 'Rmagic.cell_magic',
229 'RMagic.R',
234 {mime : image}
230 {mime : image}
235 )
231 )
236 value = {}
232 value = {}
@@ -247,6 +243,15 b' class RMagics(Magics):'
247 # kill the temporary directory
243 # kill the temporary directory
248 rmtree(tmpd)
244 rmtree(tmpd)
249
245
246 # if there was a single line, return its value
247 # converted to a python object
248
249 if return_output and not published:
250 if len(lines) > 1:
251 return [self.Rconverter(rr) for rr in result]
252 elif lines:
253 return self.Rconverter(result[0])
254 return None
250
255
251 _loaded = False
256 _loaded = False
252 def load_ipython_extension(ip):
257 def load_ipython_extension(ip):
@@ -22,16 +22,15 b' def test_pull():'
22 np.testing.assert_almost_equal(np.asarray(rm.r('Z')), ip.user_ns['Z'])
22 np.testing.assert_almost_equal(np.asarray(rm.r('Z')), ip.user_ns['Z'])
23 np.testing.assert_almost_equal(ip.user_ns['Z'], np.arange(11,21))
23 np.testing.assert_almost_equal(ip.user_ns['Z'], np.arange(11,21))
24
24
25 def test_inline():
25 # def test_inline():
26 rm = rmagic.RMagics(ip)
26 # rm = rmagic.RMagics(ip)
27 c = ip.run_line_magic('Rinline', 'lm(Y~X)$coef')
27 # c = ip.run_line_magic('Rinline', 'lm(Y~X)$coef')
28 np.testing.assert_almost_equal(c, [3.2, 0.9])
28 # np.testing.assert_almost_equal(c, [3.2, 0.9])
29
29
30 def test_cell_magic():
30 def test_cell_magic():
31
31
32 ip.push({'x':np.arange(5), 'y':np.array([3,5,4,6,7])})
32 ip.push({'x':np.arange(5), 'y':np.array([3,5,4,6,7])})
33 snippet = '''
33 snippet = '''
34 a=lm(y~x)
35 print(summary(a))
34 print(summary(a))
36 plot(X, Y, pch=23, bg='orange', cex=2)
35 plot(X, Y, pch=23, bg='orange', cex=2)
37 plot(Y, X)
36 plot(Y, X)
@@ -39,6 +38,6 b' def test_cell_magic():'
39 r = resid(a)
38 r = resid(a)
40 xc = coef(a)
39 xc = coef(a)
41 '''
40 '''
42 ip.run_cell_magic('R', '-i x,y -o r,xc', snippet)
41 ip.run_cell_magic('R', '-i x,y -o r,xc a=lm(y~x)', snippet)
43 np.testing.assert_almost_equal(ip.user_ns['xc'], [3.2, 0.9])
42 np.testing.assert_almost_equal(ip.user_ns['xc'], [3.2, 0.9])
44 np.testing.assert_almost_equal(ip.user_ns['r'], np.array([-0.2, 0.9, -1. , 0.1, 0.2]))
43 np.testing.assert_almost_equal(ip.user_ns['r'], np.array([-0.2, 0.9, -1. , 0.1, 0.2]))
@@ -61,7 +61,7 b''
61 "output_type": "pyout",
61 "output_type": "pyout",
62 "prompt_number": 2,
62 "prompt_number": 2,
63 "text": [
63 "text": [
64 "<matplotlib.collections.PathCollection at 0x10b9f2590>"
64 "<matplotlib.collections.PathCollection at 0x10b9bc690>"
65 ]
65 ]
66 },
66 },
67 {
67 {
@@ -74,7 +74,7 b''
74 {
74 {
75 "cell_type": "markdown",
75 "cell_type": "markdown",
76 "source": [
76 "source": [
77 "We can accomplish this by first pushing variables to R, fitting a model and returning the results."
77 "We can accomplish this by first pushing variables to R, fitting a model and returning the results. The line magic %Rpush copies its arguments to variables of the same name in rpy2. The %R line magic evaluates the string in rpy2 and returns the results. In this case, the coefficients of a linear model."
78 ]
78 ]
79 },
79 },
80 {
80 {
@@ -82,19 +82,11 b''
82 "collapsed": false,
82 "collapsed": false,
83 "input": [
83 "input": [
84 "%Rpush X Y",
84 "%Rpush X Y",
85 "%Rinline lm(Y~X)$coef"
85 "%R lm(Y~X)$coef"
86 ],
86 ],
87 "language": "python",
87 "language": "python",
88 "outputs": [
88 "outputs": [
89 {
89 {
90 "output_type": "stream",
91 "stream": "stdout",
92 "text": [
93 "hee",
94 ""
95 ]
96 },
97 {
98 "output_type": "pyout",
90 "output_type": "pyout",
99 "prompt_number": 3,
91 "prompt_number": 3,
100 "text": [
92 "text": [
@@ -134,11 +126,212 b''
134 {
126 {
135 "cell_type": "markdown",
127 "cell_type": "markdown",
136 "source": [
128 "source": [
129 "It is also possible to return more than one value with %R."
130 ]
131 },
132 {
133 "cell_type": "code",
134 "collapsed": false,
135 "input": [
136 "%R resid(lm(Y~X)); coef(lm(X~Y))",
137 ""
138 ],
139 "language": "python",
140 "outputs": [
141 {
142 "output_type": "pyout",
143 "prompt_number": 5,
144 "text": [
145 "[array([-0.2, 0.9, -1. , 0.1, 0.2]), array([-2.5, 0.9])]"
146 ]
147 }
148 ],
149 "prompt_number": 5
150 },
151 {
152 "cell_type": "markdown",
153 "source": [
154 "One can also easily capture the results of %R into python objects."
155 ]
156 },
157 {
158 "cell_type": "code",
159 "collapsed": false,
160 "input": [
161 "xr, yr = %R resid(lm(Y~X)); resid(lm(X~Y))",
162 "print xr, yr"
163 ],
164 "language": "python",
165 "outputs": [
166 {
167 "output_type": "stream",
168 "stream": "stdout",
169 "text": [
170 "[-0.2 0.9 -1. 0.1 0.2] [-0.2 -1. 0.9 0.1 0.2]",
171 ""
172 ]
173 }
174 ],
175 "prompt_number": 6
176 },
177 {
178 "cell_type": "markdown",
179 "source": [
137 "There is one more line magic, %Rpull which assumes that some R code has been executed and there are variables",
180 "There is one more line magic, %Rpull which assumes that some R code has been executed and there are variables",
138 "in the rpy2 namespace that one would like to export to the python namespace. See below for an example."
181 "in the rpy2 namespace that one would like to export to the python namespace. Imagine we've stored the results",
182 "of some calculation in the variable \"a\" in rpy2's namespace. By using the %R magic, we can obtain these results and",
183 "store them in b. We can also pull them directly to user_ns with %Rpull. They are both views on the same data."
139 ]
184 ]
140 },
185 },
141 {
186 {
187 "cell_type": "code",
188 "collapsed": false,
189 "input": [
190 "b = %R a=resid(lm(Y~X))",
191 "%Rpull a",
192 "print a",
193 "assert id(b.data) == id(a.data)",
194 "%R -o a"
195 ],
196 "language": "python",
197 "outputs": [
198 {
199 "output_type": "stream",
200 "stream": "stdout",
201 "text": [
202 "[-0.2 0.9 -1. 0.1 0.2]",
203 ""
204 ]
205 }
206 ],
207 "prompt_number": 7
208 },
209 {
210 "cell_type": "markdown",
211 "source": [
212 "%Rpull is equivalent to calling %R with just -o",
213 ""
214 ]
215 },
216 {
217 "cell_type": "code",
218 "collapsed": false,
219 "input": [
220 "%R d=resid(lm(Y~X)); e=coef(lm(Y~X))",
221 "%R -o d -o e",
222 "%Rpull e",
223 "print d",
224 "print e",
225 "import numpy as np",
226 "np.testing.assert_almost_equal(d, a)"
227 ],
228 "language": "python",
229 "outputs": [
230 {
231 "output_type": "stream",
232 "stream": "stdout",
233 "text": [
234 "[-0.2 0.9 -1. 0.1 0.2]",
235 "[ 3.2 0.9]",
236 ""
237 ]
238 }
239 ],
240 "prompt_number": 8
241 },
242 {
243 "cell_type": "markdown",
244 "source": [
245 "On the other hand %Rpush is equivalent to calling %R with just -i and no trailing code."
246 ]
247 },
248 {
249 "cell_type": "code",
250 "collapsed": false,
251 "input": [
252 "A = np.arange(20)",
253 "%R -i A",
254 "%R mean(A)",
255 ""
256 ],
257 "language": "python",
258 "outputs": [
259 {
260 "output_type": "pyout",
261 "prompt_number": 9,
262 "text": [
263 "array([ 9.5])"
264 ]
265 }
266 ],
267 "prompt_number": 9
268 },
269 {
270 "cell_type": "heading",
271 "level": 2,
272 "source": [
273 "Plotting and capturing output"
274 ]
275 },
276 {
277 "cell_type": "markdown",
278 "source": [
279 "R's console (i.e. its stdout() connection) is captured by ipython, as are any plots which are published as PNG files like the notebook with arguments --pylab inline. As a call to %R may produce a return value (see above) we must ask what happens to a magic like the one below. The R code specifies that something is published to the notebook. If anything is published to the notebook, that call to %R returns None."
280 ]
281 },
282 {
283 "cell_type": "code",
284 "collapsed": false,
285 "input": [
286 "v1 = %R plot(X,Y); print(summary(lm(Y~X))); vv=mean(X)*mean(Y)",
287 "print 'v1 is:', v1",
288 "v2 = %R mean(X)*mean(Y)",
289 "print 'v2 is:', v2"
290 ],
291 "language": "python",
292 "outputs": [
293 {
294 "output_type": "display_data",
295 "text": [
296 "",
297 "Call:",
298 "lm(formula = Y ~ X)",
299 "",
300 "Residuals:",
301 " 1 2 3 4 5 ",
302 "-0.2 0.9 -1.0 0.1 0.2 ",
303 "",
304 "Coefficients:",
305 " Estimate Std. Error t value Pr(>|t|) ",
306 "(Intercept) 3.2000 0.6164 5.191 0.0139 *",
307 "X 0.9000 0.2517 3.576 0.0374 *",
308 "---",
309 "Signif. codes: 0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1 ",
310 "",
311 "Residual standard error: 0.7958 on 3 degrees of freedom",
312 "Multiple R-squared: 0.81,\tAdjusted R-squared: 0.7467 ",
313 "F-statistic: 12.79 on 1 and 3 DF, p-value: 0.03739 ",
314 "",
315 ""
316 ]
317 },
318 {
319 "output_type": "display_data",
320 "png": 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321 },
322 {
323 "output_type": "stream",
324 "stream": "stdout",
325 "text": [
326 "v1 is: None",
327 "v2 is: [ 10.]",
328 ""
329 ]
330 }
331 ],
332 "prompt_number": 10
333 },
334 {
142 "cell_type": "heading",
335 "cell_type": "heading",
143 "level": 2,
336 "level": 2,
144 "source": [
337 "source": [
@@ -149,7 +342,7 b''
149 "cell_type": "markdown",
342 "cell_type": "markdown",
150 "source": [
343 "source": [
151 "For the cell level magic, inputs can be passed via the -i or --inputs argument in the line. These variables are copied ",
344 "For the cell level magic, inputs can be passed via the -i or --inputs argument in the line. These variables are copied ",
152 "from the shell namespace to R's namespace. It would be nice not to have to copy these -- rnumpy ( http://bitbucket.org/njs/rnumpy/wiki/API ) has done some work to limit or at least make transparent the number of copies of an array. This seems like a natural thing to try to build on. Arrays can be output from R via the -o or --outputs argument in the line. All other arguments are sent to R's png function, which is the graphics device used to create the plots.",
345 "from the shell namespace to R's namespace using rpy2.robjects.r.assign. It would be nice not to have to copy these into R: rnumpy ( http://bitbucket.org/njs/rnumpy/wiki/API ) has done some work to limit or at least make transparent the number of copies of an array. This seems like a natural thing to try to build on. Arrays can be output from R via the -o or --outputs argument in the line. All other arguments are sent to R's png function, which is the graphics device used to create the plots.",
153 "",
346 "",
154 "We can redo the above calculations in one ipython cell. We might also want to add some output such as a summary",
347 "We can redo the above calculations in one ipython cell. We might also want to add some output such as a summary",
155 " from R or perhaps the standard plotting diagnostics of the lm."
348 " from R or perhaps the standard plotting diagnostics of the lm."
@@ -198,7 +391,7 b''
198 "png": 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4+BAeHk6pUqXYsmULrVu31jqWEHlGXFycWdox67nbJUuWAGnXba9fv05wcDBn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\nXqXv3bsXRVE4uG8f8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NZT0D4+PsLNzU00btxYfP/99zqf5f79+8Lc3FzUqFFDODk5CScn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\n"
391 "png": 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ff28o7sePHyc0NJT9+/djYWGRbzqMmpMUYBMZPXo0lStXZurUqQB069aNtWvX8uDBA1RV\nZeDAgSxZsoSoqChq165NaGgo7u7uvP322xm21bJlS37//XeuXr1KYmJiuqNUR0dHAgMDUVWVu3fv\ncvToUQBDh4i2bdtSpEgRNm/eTGJiIsnJyem2PXToUL7++mtKlizJgAEDKFy4cKY7b5cuXThx4gRH\njx41nCLbsmULffr0QVEU3n77bcO38+yysbExdFqzsbExHDm0bduWwMBAwzWmjRs38tZbb6HX62nT\npg3ff/898fHxhISEvPI2CiHMadmyZezfv9/wuEOHDvz666/85z//Qa/Xs2bNGtzd3SlWrFi227h/\n/76ho1ZoaCj+/v4Z9vPnLVy4kLVr1xoOAg4dOkSNGjX4/vvvmTNnDgD16tXDw8MDDw8P7O3t6dev\nH+XLl2fUqFHExcURERFB06ZNGTp0KDNnzsTW1jbbv0NBJQXYRBRFYfny5WzcuJHffvuNjh074uTk\nRMWKFalatSqpqalMnToVBwcHPvnkE5o3b467uzszZ87McB/r0yPqZs2aUaVKFYoUKWJYN3DgQEJD\nQ3F2dqZ169aGAu7q6sqQIUOoV68eDRs25Oeff6ZJkyZcvXo13bZnzpzJqlWrqFmzJjVr1uTzzz+n\ndOnSGX4fGxsbWrRoYegxDTBo0CBsbGxwc3PD1dUVnU6XpVPLz2vRogWTJk1i5syZ1K1bl0uXLlG/\nfn2sra2ZM2cOLVq0oHr16ixcuJCVK1diYWHBxx9/jLW1NVWrVqVp06avfXpeCHNwdXXln//8p+Fx\no0aNmDFjBp6enlSsWJFt27alu6shOyZPnswnn3xCkyZN6NWrFz169CA4OPilr6lWrRp+fn78+9//\npnTp0mzZsgVXV1cqVarE8uXLSUhIyPAaS0tLtm3bRlxcHJUrV2bUqFHY2dnh7u7Ozp07uXz5co5+\nj4JIUV91rkIYVXx8PJBW0J4XGRlJmTJlXvja5ORkEhMTDQXwdV4bHx+PoigULVr0pbkePHiAnZ0d\nlpZZ75eXmJhIUlIS9vb2WX5tZtuysrLCwsICvV7PkydPsLa2BiA1NZWYmBhKlSqV4XUPHz7E1tb2\ntU7ZCaG1lJQUHj58mOlnOTtUVeX+/fuZfnl+lbi4OCwtLSlSpAjJycmsXLmSkSNHGva7zOj1emJi\nYihZsiQAR48excrKynD6WrweKcBCCCGEBuQUtBBCCKEBKcBCCCGEBvLFQBzr1q17Zbd7IcypaNGi\n9OnTR+sYeYLsvyK3Mdf+m+ePgNevX2+Se0+FyInFixezd+9erWOYVGpqaqa9ZbNC9l+RG5lr/9Xs\nCDg5ORmdTpfjXquqqjJkyBDD0G5C5AbR0dH57qjO19eXevXq4e3tzapVqwzT0Hl5ebFmzZoXDkP6\nMrL/itzIXPuvWY+AU1JS+PDDD3FzczOM3Vu7dm1mzZr1yhvHhRDaCgsL4+HDh8THx7N69WrOnj1L\ncHAwlSpVYsWKFVrHEyLPMWsBfjod3uXLl7l+/TrBwcGcOXOG8PBw/Pz8zBlFCJFNcXFx1K9fH3t7\ne3Q6HZ07dzZMJiCEeH1mPQV9584devfunW6WjUKFCtG1a1dOnTplzihCiCxycXFh4sSJuLm5cenS\nJUJDQ4mKimL06NGGOaiFEK/PrAV44MCBjBkzhl69euHi4gLA7du32bBhQ7o5boUQuc/YsWMZO3Ys\nISEhnDt3DhsbGyIiIli/fj3u7u5axxMizzFrAW7YsCG7du1i7969BAUFodfrcXV15fDhwzg4OJgz\nihAimypUqECFChUAMp1TNjMxMTGZTn939epVihcvbtR8QuQVZu8FXbZsWXx8fLL8umPHjjF//vwM\nyy9fvswbb7whvSiF0MjixYtRVZVJkya98Dk3btxg3bp1GZYfPnyYypUrM3nyZFNGFCJXyhUDcbzO\nDty8eXM8PT0zLB8zZgyKopgynhDiJUaNGvXK5zyd1u55Pj4++e52LSFeV64owK+zA1tYWGQ6O4el\npWWe34EfPHhAYGAgXl5emc50JERuJvPACpE9uWIkLFtb2wKzE+/evZsvv/ySLVu2AGnT7w0fPhxL\nS0sGDRpEamqqxgmFECJ/2bp1K5MmTWL69Ono9XoArly5wnfffceOHTs0O4gz6xHwwoULCQgIyHTd\ngAEDcjSZe17w2WefceLECcaPH8/kyZP55ZdfWLhwIcuXL8fZ2ZnVq1fz8OFDwxybQuQmBX3/FXnX\njRs3WLRoEb6+vhw7dgwbGxt69+7NjBkzWLt2Lb6+vhw6dMjs84mbtQAPGjQIPz8/Jk2aRIMGDdKt\ne9lE9PnBvXv32LhxI1evXkWn09GpUyf69evHrVu3qFWrFl9++SVNmjSR4ityrYK8/4q87aOPPiIx\nMRF/f3/eeecd3n77bXbt2kWDBg0YMWIE48aNY+/evXTr1s2sucxagB0dHdm4cSOffvopAwYMMGfT\nmktNTaVx48YoF4JIadAYi3On0Ol06PV6vvjiCxwdHXn33Xe1jinECxXk/VfkbfHx8QwbNoxPPvmE\nsmXL4uLiQrVq1Qzrq1evTnx8vNlzmf0acK1atdi+fbu5m9Vc2bJlcbCz48rwUTxa/CUBUz7i+PHj\nxMTE8M0333Dy5EmGDBnC3bt3tY4qxAsV1P1X5F2qqtK/f3+GDRtGmTJliIuLo2nTpnTv3p3Y2Fj+\n+OMPxo0bR6tWrcyeLVf0gi4IFEXhy5q12XbqTw4eC2Dy9RtcPH0auzJlCAkJ0TqeyGcCAwNp3Lgx\n+/bt4/Tp0/zjH/947UEzhMhPHj58SIMGDQgMDCQwMJCePXsydepUQkJC6NatGy4uLpw7d45y5cqZ\nPZsUYDNRL19Bd+wX+v0SQH9bW1I//hTl7Dlo307raCKfCQgIYPr06ezatYsxY8YwduxYJkyYIPPu\nigKpePHifPbZZxmW54bxy3PFbUj5nZqain7+QpR/jEX5+3YrXYd2qAf8NU4m8qMTJ04we/Zs9u7d\nS+/evZkyZQphYWFaxxJCPEcKsBmoflugrBO6Vi3/t7BZUwi+hhoZqVkukT9VrlyZTZs2sXLlSt55\n5x1Wr15NlSpVtI4lhHiOFGATU2/fRv1hB7oJ/0i3XLGyQnmzFerBQxolE/lVv3798PT0ZOLEiTRp\n0oSUlBTmzp2rdSwhxHPkGrCJ6RcuQRk6GCWT+ySVDu3Qz1sAA/ppkEzkN2fPnmXHjh3pln366acA\n7Nixg+HDh2sRSwjxAlKATUi/Zx+k6lG6d810vVKrJuj1qJevoNSobuZ0Ir+xt7enevXMP0eOjo5m\nTiOEeBUpwCaiRkejfrMW3dKFL52tSXmrPer+g1KARY65ubnh5uaW6bqUlBQzpxFCvIpcAzYR/VJf\nlO5dUSpWfOnzlPZtUQOOoso/kMJIoqKi6NixI+7u7tSsWZOqVasyZMgQrWMJIZ4jR8AmoB4/ASH/\nRfn041c+V3FwALfKcPI38G5hhnQiv9u0aRMeHh54e3tTrVo1Hj16RExMjNaxhBDPkSNgI1MTEtAv\n9UU3eSKKldVrvUZp3xa99IYWRpKQkECrVq1o2rQpFy9eZOjQoRw7dkzrWEKI50gBNjJ15RoUr2Yo\ntd1f+zVKS284dx714UMTJhMFRZs2bfjnP/9JxYoV2bVrFytXrqRw4cJaxxJCPEdOQRuRGnQR9bff\n0a37JkuvU6ytUbyaoR46gtKrh4nSiYLC09OTefPmUbp0aebNm8ehQ4c0vw/48OHDzJw5M8PyK1eu\nUK9ePQ0SCaE9TQtwamoqT548oWjRolrGMAo1ORn9gsXoxo9Dycbvo7Rvi371NyAFWOTQ1q1bmTVr\nVrplcXFxrFixQqNEaUflbdq0ybDcx8cHVVU1SCSE9sx6CtrX15dffvkFSBsIu1q1atSpU4fBgwfz\n5MkTc0YxOnXDJqhUEcWrWfY24NEAoqNRb90yZixRAPXs2ZOTJ09y8uRJAgICmDRpEpUrV9Y6lhDi\nOWYtwGFhYTx8+JD4+HhWr17N2bNnCQ4OplKlSpp+O88p9eZN1B/3ovvg/WxvQ1EUlA7tUPcfNGIy\nURBZWVlhZ2eHnZ0dpUuXZsiQIezevVvrWEKI52hyCjouLo769etjb28PQOfOnTMMoZdXqKqKfsES\nFJ8RKCVL5mhbSod26Md/iDpqJIpO+seJ7Dl16hR79uwBQK/Xc/HiRWrVqqVxKiHE88xagF1cXJg4\ncSJubm5cunSJ0NBQoqKiGD16dK6YmzE71J27oZAVuk5v53hbiosLODrC6T/Bs5ER0omCqHjx4umG\npGzevHmm11+FENoyawEeO3YsY8eOJSQkhHPnzmFjY0NERATr16/H3f31b9vJLdTISNR1G9CtWGa0\nbSrt26IePIQiBVhkU7Vq1ahWrZrWMYQQr6DJKegKFSpQoUIFAEqUKPFar7l+/TqHDx/OsPzy5cs4\nOTkZNd/r0i/+CqXPOyjOzkbbptLmTfRff4uakJCt3tSi4Nq9ezczZszIdF2jRo34+uuvzZxICPEy\nueI+4MWLF6OqKpMmTXrhcywtLbGzs8uw3MrKCp0G10v1RwLgXgTKrM+Nul3Fzg4aeqAGHEMxwmlt\nUXB06tSJ1q1bc+bMGZYuXcrMmTNxdnZm06ZNhv4WQojcQ7MCnJycjE6nw8LCglGjRr3y+c8eNT/r\nyJEjZr+PUI2NRf3XSnSzv0CxsDD69nXt26L//geQAiyy4OmX1MDAQAYNGkTt2rWBtHttu3btyuDB\ngzVOKIR4llkLcEpKCtOmTWPnzp0A6HQ6ChcuTN++fZk6dao5o+SI+q+VKK1bmW4KwSaNYcFi1PBw\nFI1Or4u8q23btvj4+BAeHk6pUqXYsmULrVu31jqWEHlGXFycWdox67nbJUuWAGnXba9fv05wcDBn\nzpwhPDwcPz8/c0bJNvXMWdRz51FGDDNZG4qFBUrb1nJPsMgWDw8P1qxZQ0hICMeOHaN///556guu\nEOZ29+5dLly4YHhcqFAhs7Rr1gJ8584devbsidUzswQVKlSIrl27cvv2bXNGyRY1KQn9wiXoJn6A\nUqSISdtS2rdDlRmSRBacPn2a77//nt9//52tW7cCYGdnx+nTp/PsbX5CmMqDBw8M/3/27FmKFStm\neGyuAmzWU9ADBw5kzJgx9OrVCxcXFwBu377Nhg0bMu3hnNuoa9ehuNcyyy1CSrWqULgwatBFlDq1\nTd6eyPtKly6NXq+nVKlSNGzYMN06BwcHjVIJkXvo9Xp0Oh1//PEH169fp2/fvgB07NhRkzxmPQJu\n2LAhu3btokSJEgQFBXH+/HlsbW05fPhwrv8HQr12DfWAP8r775mtTaVDO9QD/mZrT+RtFStWxNPT\nEzc3NypUqECfPn2wsbHhr7/+MsmMQ6mpqSQkJBh9u0IYW2xsLHv27CE2NhYANzc3Q/HVktnv3ylb\ntiw+Pj7MmTOHefPmMWbMmNxffPV69PMXobw3CuWZ0xSmprRvi3r0GGpSktnaFHlfQEAAEyZMICIi\ngjFjxmBtbc2ECRNyvN38PJmKyH/u3r3LnTt3AIiJiaFKlSqG08wlczhssLHIgMOvQd22HYoXQ9eu\nrVnbVUqWhFo1UY+fMGu7Im87ceIEs2fPZu/evfTu3ZspU6YQFhaW4+3m18lURP7x+PFjABISEjh0\n6JDhWq6Liws1a9bUMlqmXliAAwMDAdi3bx+ff/55ugvWBYl69y6q3xZ0k8Zr0r6chhZZVblyZTZt\n2sTKlSt55513WL16NVWqVDHa9p+dTEWn09G5c2ciIiKMtn0hsuPAgQOGulWkSBEGDRpE6dKlNU71\ncpkWYFOdwsqL9AuXoAzop9n9uEqL5nDpL9ToaE3aF3lPv3798PT0ZPz48dSpU4fk5GTmzp2b4+0+\nnUxlyJAh+Pv7Exoayrlz5xg9ejS9evUyQnIhXl9UVBRHjx41PK5Vqxbe3t4AmoyOmB2ZpjTVKay8\nRr//AMTFo7zTU7MMSqFCKN4tUP1zfy9xkTsoikJwcDCzZs1i8+bN/PTTT1y7di3H2x07dizBwcGs\nWrUKX19fbGxs0Ov1rF+/njfeeMMIyYV4uaioKBITEwG4efNmunkAXFxc8kzhfSrT25CensK6cOEC\ny5YtM/oprLxAjYlBXf0Nui/naD43r9KhHfqlvvB/vTXNIfKGkydPoigKX3zxBTExMSxdupQZM2aw\nefNmo2w/O5OpnDt3jo0bN2ZYHhgYSKVKlYySS+RPKSkpWFpacvPmTQICAhgwYACQNsFIXpdpAe7X\nrx9xcXG0bduWJk2acObMGaOcwspLVN8VKG+1R8kFXzyUunXg8WPUa9dyRR6R5v79+5w9exZ7e3s8\nPT21jmPwn//8hyZNmhjGSC9btqxJeym/zmQqFSpUoF+/fhmWX79+HRsbG5NlE3lXcnIyP/30EzVq\n1KB69eo4OjoyfPhwrWMZVboCfPbsWXbs2JHuCZ9++ikAO3bsyHe//IuogadQL19BN/VDraMYKB3a\noe4/iPK+FODcICQkhC5dutCrVy9++OEHWrZsyfLly7WOBUDfvn3x9vamdu3aWFpasm3bNoYOHWrU\nNrI6mUqJEiUyDA4CaYOHmHsyFWF8jx49Yvny5dy7d4+GDRtme+KPe/fucf/+fWrVqkVycjI1atSg\natWqABTNh9Ozpju3am9vT/Xq1TP9KVeunFYZzUp9/Bj9kmXoPpyAYqbhyF6H0qEd6qEjqKmpWkcR\nQJcuXZgzZw4zxo8nKCiIyMhIDh7MHWN329nZ4e/vT4sWLShXrhxz587N9Ogzq1JSUvjwww9xc3Oj\nRo0a1KhRg9q1a7N06VIKFy5shOQiL3paKC0tLRk0aBAnT57M0pfRp4NjAPz222+GQlu0aFGqV6+e\n567rZkW6I2A3Nzfc3NyIiopi8ODBhISEoNfrSUlJwdPTk7feekurnGajfrMWxaMBSoP6WkdJRylb\nFlxdIfAUNGuqdZwCRY2MhLA7qGF3ICwMNewO8x/E0nbZv9Gf+hOLL/5Jhw4duHfvntZRAbhx4wZ6\nvf61jkyz4tnJVJ6O556UlMTEiRPx8/NjyJAhRm1P5A3Hjh2jU6dOTJkyBYDatWvzzjvv8P7777/y\ntadOneLGjRuGUam6d+9u0qy5TabXgDdt2oSHhwfe3t5Uq1aNR48eERMTY+5sZqf+dRk14Bi6dd9o\nHSVTSod26A/4YyEF2OjSFdnQ0L//GwZ37oKtDTiXQylfHpzLoWvdirO3QwiwteHLL/7JvXv3GDFi\nRLrZVLT0dLrPl12TzY47d+7Qu3fvTCdTOXXqlFHbEnnLs53xVFXl1q1bmT4vNjaWX3/9FW9vb2xt\nbalUqVKB7kGfaQFOSEigVatWWFlZcezYMWbMmEGPHj0YP16bwSjMQU1NRf/lIpRxY1BsbbWOkynl\nzZaoK1aixsXl2oy5mRoR8eIia4yFFJUAACAASURBVG+XVmSdndOKbJs3obwzODtnOvPVBM9GtGjR\ngtatW2NjY8P+/fupU6eOBr9VRk2aNGHgwIFcvXrVMBBBpUqVGDlyZI62m9cnUxGm4eXlxVdffcWa\nNWuoX78+Y8aMoX///ob1TwdpcXBwICoqCldXV2z//verTJkymmTOLTItwG3atGHChAn4+fkxYcIE\nHBwc8v01HtVvC5R1QteqpdZRXkgpWhSlSWPUwwEo3bpoHccs7ty5w+zZs7l16xYlSpTgu+++w9Ly\nxZN4qREREBqWvsiG3clYZMs7o6tV839FNoufb2tra06fPp3TX88kHBwcmD17drpljo6OOd7u08lU\n9u7dS1BQEHq9HldX1zwxmYowHWtra3744Qe++OILrl69yqRJk+jRoweQdsT7008/0blzZwC55ew5\nmf5L5unpybx58yhdujTz5s3j0KFDRr8N6dlelFpTb99G/WEHuq9Xah3llZQO7dB/twEKQAGOj4/H\n2dmZrVu3MnPmTAYPHsynn3zCnAkT/ldkw8LSH8kWs4fyzv8rsrXd04psuXJZLrJ5VdWqVQ09R43t\n6WQqQjyrcOHChi99T4eE9Pb2xtra2ug98POTFx5KtGjRAoD27dvTvn17ozSWkpLCtGnTDNeodDod\nhQsXpm/fvkydOjXdtSVz0i9cgjJ0MEpeOB3yRkOYtwA1NDTtmmQ+durUKSZNmkTvtm3Rz5nP7hIO\nnP1mPfob/01fZOvUBudyaUeyuajnuhAFQXR0NJcvX6ZZs2YAVKtWzTBQy8vOVokXFOCtW7cya9as\ndMtatGiR4xlPcmMvSv2efZCqR+ne1extZ4ei06G0a5M2N/GIYVrHMalChQoRHR2NfvY8lPLleTRo\nAH0CDnLjez+towlRoD148AAbGxsKFSrE5cuX03XCktPMry/TG6x69uzJyZMnOXnyJAEBAUyaNInK\nlSvnuLE7d+7Qs2fPTHtR3r59O8fbzyo1Ohr162/RTZ6Aoihmbz+7lLfao+7PHfecmpKXlxfOIf9l\n//qN7CzrgPeggcz68kutY+Vau3fvpl69epn+5LQDlhCpf49BcP36dbZv325Y3qxZs1w51V9ekOkR\nsJWVlaFI2tnZMWTIELy9vfnww5yNDJXbelHql/qi9OiG8vfpkrxCqVQJSpRAPXMWxaOB1nFMRk1I\n4LOSZTg07UPC799nxYoVNG/eXOtYuVanTp1o3bo1Z86cYenSpcycORNnZ2c2bdqEvb291vGECQUF\nBbFv3z6SkpJ47733jNq7OCkpCX9/f2rUqIGbmxsODg4MHz48Xw+QYS6ZFuBTp06xZ88eAPR6PRcv\nXqRWrVo5biw39aJUj5+AWyEoM6abtV1jUdq3RT14KH8X4FVfozRtQoeJH9BB6zB5gKWlJXZ2dgQG\nBjJo0CBq164NgI+PD127ds328IAid7t8+TJjxoxh2rRpJCYm0q1bN9avX5+jCXQiIyOJiYmhatWq\nPHnyhIoVKxpOLdvZ2RkreoGXaQEuXrw41atXNzxu3rw5bdq0MUqD2e1F+eTJEx49epRh+ePHjylR\nooRhxoyUlBQeP36MtbX1Cx8nREdT+F8rKTR9GqnA49jYlz4/Nz4u8mZLdN+tJznuPRJVVfM8Rv/9\nbt5Cd+Ik+m9XE58H/z5aXtJo27YtPj4+hIeHU6pUKbZs2ULr1q01yyNMa9myZcyaNYuWLdNuoUxJ\nSWH79u1MnTo1S9uJj483TIwREBBgmGDEzs4Od3d344YWwHPXgJ9eQ+rduzcLFiww/EybNo0xY8aY\nLMTixYtZtGjRS59z+vRpxo4dm+Hn5MmTlCtXjoSEBCBtEJEbN268/PH+Azxu7oVS2/31np8LHz+2\nsoJ6dYn/9XiuyGPMx9evXSNuzTfoxo/jMWieJzuPtez96eHhwZo1awgJCeHYsWP0798/y/8Yi7zD\n3t6eQs/0/rezszNcr31dgYGB/PTTT4bHffr0oWLFisaKKF5EfUZycrL66NEj9ejRo2r37t3VoKAg\nNTo6WvX19VXXrVunmkpsbKwaGxubrdeOHDlSHTFixGs/X38hSE15p6+qj4/PVnu5if7oMTVl4mSt\nYxhd6rffqSkzPtc6Ro4sWrRI/fHHHzXNkJqaqsbFxal6vV7THC+T1f1XZPTrr7+qrVu3Vk+cOKEe\nOHBAbdasmRoSEvLS1zx69Eg9cOCA+vjxY1VVVfXu3btqamqqOeLmCebaf9MdAWd2DalEiRL4+Piw\nadMmoxb+5ORkw7c0W1tbw9BkpqQmJ6NfsBjd+HEo+WFqK69mcDU4bRzjfEK9dQt19x50H7x6IHfx\nYpMnT6Z27dps3ryZzp0759pRu0TONW/enPnz5+Pn58eRI0dYvnw5rq6uGZ4XHR1NVFQUAOHh4Tg4\nOFDk72FWnZycpFOVBjI9T2aqa0haD8ShbtgElSqieDUzaTvmolhaorR+M60z1oCcTzenNVVV0S9Y\ngjJyOErJklrHybNOnjyJoih88cUXxMTEsHTpUmbMmMHmzZu1jiZM5I033sh0UoPk5GSsrKx4+PAh\nO3fupFu3bgAmGylNZE2mX3lMdQ3p2YE4rl+/TnBwMGfOnCE8PBw/P9MOrqDevIn64958d2SldGiH\nesBf6xhGoe76ESwt0HXuqHWUPO0///kPTZo0MXQEK1u2LE+ePNE4lTC3AwcOGGapKlq0KMOHDzdM\nziFyhxf2FPHw8MDDw8OojWk1nZnhyMpnRL47slJq1QRVRf3rMkrNGlrHyTY1MhL1u/Xoli/VOkqe\n17dvX7y9valduzaWlpZs27ZN8/F4o6KiuHLlSobl4eHhco+ykTx48IDg4GBD7+WKFSsabkXSaphf\n8XLpCvDp06e5ceMGrq6uhtPET1WuXJl33303R41pNRCHunM3FLJC1+ltk7WhpadHwXm5AOsXf4XS\nuxfK358LkX12dnb4+/uzY8cOQkJCGDdunNG/TGfVnTt3+PnnnzMsDw0NNYwbLLLu0aNH2NjYYGFh\nwYULF9Id4T57K6nIndIV4NKlS6PX6ylVqhQNGzZM90RjDJShxUAcamQk6roN6FYsM8n2cwOlQzv0\nI95Fff89lDw4+Lk+4Cjci0CZ9bnWUfKFo0eP8uDBA0aNGmVYNm7cOHx9fTXLVLduXerWrZth+b17\n91BVVYNEeZder0en0xEcHMyRI0cYMWIEgOE+YJF3pPvXumLFioZ7v6KiomjcuDH79u3j9OnTtGvX\nzigNmmM6s8ePH7N3716SkpLodupPivZ5J23mnHxKKVMGqlaBEyehpbfWcbJEjYtD9V2Bbs5MlFww\nNWV+cOnSJRYtWsSVK1eYNm0aABcvXtQ4lcippKQkjhw5Qo0aNahYsSIODg74+PhI7+U8LNO/XEBA\nABMmTCAiIoIxY8ZgbW3NhAkTzJ0tW1JTU6lfvz7nzp2jyG+BbF7my5V6dbSOZXJK+7boDx7SOkaW\nqStWobRuhVJDTpcZ05IlSwgJCWHEiBEkJSVpHUdkU3R0NDdv3gTSRqoqV66c4RajYsWKSfHN4zL9\n6504cYLZs2ezd+9eevfuzZQpUwgLCzN3tmxZv349LVq0YNa0aXS/ew/3b9fg+/c0ipGRkTm+jp1b\nKS294dx51IcPtY7y2tSz59ImlMjn0ypqwcLCgn//+99Ur16dzp07y7yseUhiYqLh//ft22fozV6i\nRAnq1q0rRTcfyXSvrFy5Mps2beLChQssW7aM1atX52hgb3OKj49PO10eG4tuxTJck5MJ3bmD0NBQ\npk6dmul40vmBUqQISnMv1ENHUHr10DrOK6lJSegXLkE34R8o1tZax8lXatWqRcm/e/tPmTKFChUq\naDLbmMi6wMBAwsLC6NmzJwCDBg3SOJEwpUwLcL9+/YiLi6N169bUqVOHP//8k7lz55o7W7a0aNGC\ndu3aUTsgACcnJ1q3aMHw4cMpV64cmzZtol+/vD9gxYsoHdqhX7kG8kIB/m49Ss0aKI09tY6Sbzx7\nF8OmTZvSjV73fKdKkTvExcURGBiIt7c3VlZWODs7ZzqghsifMi3AiqIQHBzMvn37SEhI4KeffqJx\n48Z54oNRr149fvjhB3x8fChXrhwffPABY8aMMZzGyc89LhWPBvDgAeqtWyi5eCB19do11J8PoPvu\na62j5CumvotBGMfDhw9RVZXixYvz3//+l+LFixvu0y1fvrzG6YQ5ZVqA8/pQdt7e3pw8eVLrGJpQ\nOrRD3X8QZfSoVz9ZA6penzYoymgflGLFtI6Tr5w/f54ZM2Zkuq5Ro0a0atXKvIGEwdPpUqOjo9m+\nfTu9evUCMMo86yLvyvRqfn4eyq53795aRzAppUM7VP/DqHq91lEypf6wA2xt0HVor3WUfKdTp04c\nP36cZcuWGfpxHD16FB8fH7y989btafnJwYMHDZNh2NjYMGLECMM1elGwZXoEnBuHsjOWp9888yvF\nxQUcHeH0n+DZSOs46ajh4aibNqNbuVzrKPlSZrOZAfj4+NC1a1cGDx6sccKC4eHDh9y8eZP69esD\n4OzsbBiVqnDhwlpGE7lMpgU4Nw5lJ16fYWjKXFaA9QuXoPTvi1K2rNZR8jVTzWYmXiw+Ph5ra2t0\nOh2nTp2i7DOfcXd3dw2Tidwswyno4OBgVq9eTWxsLKNGjWL27NlER0cbhjsTuZ/S5k3U3wNRExK0\njmKgP+gPj2JReufvMxC5galmM3teamoqCbnoM2ZuTzt0BgcHs2HDBsPydu3aGc4+CPEy6QrwnTt3\naNu2LefOnaNdu3bcuXOHDz74gFGjRpnk9p2CvgObimJrC280RA04pnUUANSHD1FXrkE3ZSKKDCJg\ncjdu3MDe3p758+ezYsUKo/V78PX15ZdffgFg1apVVKtWjTp16jB48OB800fkdSQlJeHv728YnKhU\nqVI0bdqUH374gRMnTqR77scff8zly5e1iCnygHT/Gp4+fZp33nmHFStWMHPmTFq1akVCQgJBQUG0\nbds2x43JDmw+ulw0T7C6/N8oHdqh5JHBXPK6nTt3snv3bqNvNywsjIcPHxIfH8/q1as5e/YswcHB\nVKpUiRV/jzaXX8XExPDf//4XSLvGW7p0acNp5uPHjzN8+HDu379P165dWbBgAQDTpk0jMDBQhgIV\nL5SuAN+/f5+qVasC4OLiQuXKlVmzZg02NjZGaawg78Bm19gTQkJQw8M1jaGe+gP1P5dQhg3RNEdB\n0qRJE5YvX867777L9OnTmT59Ol9/bbx7ruPi4qhfvz729vbodDo6d+5MRESE0bafWzxbOHfs2IH+\n7zsLypQpQ4MGDbCwsODhw4cMHjyY/fv389577xEeHs7x48e5dOkSc+bMMcqBi8i/XjhArKIouLm5\nmaTRZ3dggM6dO7Njxw6TtFVQKRYWKO3apN0TPFSb3q9qYiL6RUvRTZuMUqiQJhkKIgcHB2bPnp1u\n2bPzxGaXi4sLEydOxM3NjUuXLhEaGkpUVBSjR49m1apVOd5+bhIYGMjdu3fp3r07AMOGDTPclvms\nuLg4OnXqRJkyZYC0ie+rVq1KdHS0jNksXilDAV62bBk7duwgJiaG8PBwgoODgbQRpp6eWsmugrQD\n5wZKh/bo//kFaFWAv/4WxaMBSoP6mrRfUJUoUYKNGzcSEhKCXq8nJSUFT09P2rfP2b3XY8eOZezY\nsYSEhHDu3DlsbGyIiIhg/fr1eb6nb3x8PKdPnzbMqevo6Jjuzo/Mii+Ak5MTVlZWzJ8/nylTpnD4\n8GEWLVr0wgFRhHhWugLcuXPnF47M8vRoNSfy8w6cGylVq0DhwqhBF1HqmLdXpnr5CmrAMRluUgOb\nNm3Cw8MDb29vqlWrxqNHj4iJiTHa9itUqECFChWAtGKfV8XGxgJpt11eu3aNIkWKGNZVfM2hXC0s\nLPD19aVRo0b4+/vj5ORk6AQHaWPTOzo6Gj27yB/SFeAyZcoYTqWYUn7ZgfMC5a32aaehzViA1dRU\n9AsWo4wdjWJnZ7Z2RZqEhARatWqFlZUVx44dY8aMGfTo0YPx48ebpL3FixejqiqTJk0yyfaNSa/X\no9PpiIqKYvv27fTp0wdIO8OXXXZ2di/s6dy8efNsb1fkf7liktC8tAPnNUq7NugHD0f94H2zXYdV\nN28FhzLoWr9plvZEem3atGHChAn4+fkxYcIEHBwcjD4CU3JyMjqdDgsLC0aNevW444cPH2bmzJkZ\nll+5ciVHxS8rDh48SMmSJXnjjTewsbFh5MiRWFhYmKVtITKjWQHOiztwXqSULAm1aqIeP4FihoKo\nhoaibtuO7uuVJm9LZM7T05N58+ZRunRp5s2bx6FDh4wynWhKSgrTpk1j586dAOh0OgoXLkzfvn1f\nOdBHmzZtaNOmTYblPj4+JpuhLDY2lpCQEMOgGA4ODoZLXdYyB7XIBcxagPPaDpxfPD0NjRkKsH7h\nEpShg1HMcClDvFiLFi0AaN++fY47Xz21ZMkSAC5fvmyYPi8pKYmJEyfi5+fHkCHa32qWmJhouJb7\n66+/4urqalj3dGxmIXILs/aTf3YHvn79OsHBwZw5c4bw8HD8/PzMGaVAUZp7waW/UKOjTdqOft/P\nkJSM0r2rSdsRmdu9ezf16tXL9GfkyJE53v6dO3fo2bOnofgCFCpUiK5du3L79u0cbz+nrly5wnff\nfWd43LFjRxkSUuRqZj0CvnPnDr179850Bz516pQ5oxQoSqFCKC29Uf0Po/yfaaZjVKOjUdd8g27J\nghfesiFMq1OnTrRu3ZozZ86wdOlSZs6cibOzM5s2bTLKXQwDBw5kzJgx9OrVCxcXFwBu377Nhg0b\nOHz4cI63n1VJSUmcOHGCGjVqULZsWUqWLClj1os8xawFOLftwAWJ8lZ79Iu/AhMVYP1Xy1G6dkap\nVMkk2xevZurpCBs2bMiuXbvYu3cvQUFB6PV6XF1dOXz4MA4ODsb4FV4pNjaW2NhYypUrR3R0NLa2\ntoa2zXEHhxDGZNYCnBt24IJKqVMbEhNRg6+l3R9sROrxE3DzFsonHxl1uyJ7TDkdYdmyZfHx8THK\ntl5XSkoKlpaWqKqKn58fb731FpA2CIaTk5NZswhhTGbvBa3FDizSpM0TfNCoBVhNSED/1XJ0M6aj\nPHNpQWjn6XSEW7du5eLFi/Tv399oMyI9a/r06dSsWZOBAwcafdtPBQYGEhkZSefOnVEURW4dEvmK\npoOVTp8+nY0bN2oZoUBR3mqP6n8YNTXVaNtUV32N0rSJ2UfaEi/24MEDPv/8c3bv3s2hQ4eYPn06\ngwYN0jrWa0lISODkyZOGx6VKlUrXi1uKr8hPcsVAHMI8FCcnqFABAk9Bs6Y53p568T+oJ06iW/+t\nEdIJY1m7di0NGjTAz8+PQn8PvmKKjnHu7u44OzsbZVvx8fHY2Nhw6dKldJMYVJEpLEU+pmkBNuYO\nLF6P0qEd+gP+WOSwAKvJyei/XIRu/DiUokWNlE4Yg729PSVLljTaNKIv0r9/f6Nsp1ChQqSkpADw\nxhtvGGWbQuQFmhZgY+3A4vUpb7ZEXbESNS4OxdY229tRN/pBpYpp9xiLXKV+/fp0796dn3/+mUp/\n90qvXLnya404p4WkpCSKFSumdQwhzE5OQRcwStGiKE0aox4OQOnWJVvbUG/dQt29B923q42cThhD\n8eLFWbRoUbplcpeBELmPFOACSOnQDv13GyAbBVhVVfQLlqCMHJ42zrTIdapUqZLh2unTU7xCiNxD\n017QQiNvNIR791CzMXyguutHsLJE17mjCYIJY4iKiqJjx464u7tTs2ZNqlatmivGaRZCpCdHwAWQ\notOhtGuDesAfZeTw136dGhmJum4DOt8lJkwncmrTpk14eHjg7e1NtWrVePToETExMVrHEkI8R46A\nCyjlrfaoB/yz9Br94q9Q3umJ8vcwoiJ3SkhIoFWrVjRt2pSLFy8ydOhQjh07pnUsIcRzpAAXUErF\nilCiBOqZs6/1fH3AUbgXgdLv/0wZSxhBmzZt+Oc//0nFihXZtWsXK1eupHDhwlrHEkI8RwpwAZY2\nNOWrj4LVuDhU3xXopkxCkZGIcj1PT0/mzZtH6dKlmTdvHjdu3GDu3LlaxxJCPEcKcAGmtG2NevwE\namLiS5+nrliF0roVSo3q5gkmcuT48eM4OjpiY2ND+/btmTdvHuvXr9c6lhDiOZp1wkpOTkan08nY\nrhpSihWD+vVQj/2C0qF9ps9Rz55DPXMW3do1Zk4nsiohIYERI0Zw6dIlbG1tDdPzxcXFUaJECU2z\n/fHHH3z99dcZlh8/flyGmxQFllkLcEpKCtOmTWPnzp0A6HQ6ChcuTN++fZk6dSpWMpuO2ek6tEO/\n60fIpACrSUnoFy5BN/EDFGtrDdKJrChatCizZs1i9+7dODk5Ubt2bRISEihRogQVK1bUNFuNGjWY\nNGlShuUPHjygSJEiGiQSQntmPQW9ZEna7SuXL1/m+vXrBAcHc+bMGcLDw/Hz8zNnFPFUs6Zw7Tpq\nZGSGVep361Fq1kDxbKRBMJEde/bsITw8nP79+/PDDz/Qp08fevToQVhYmKa57OzsqFatWoafYsWK\nGSaMEKKgMWsBvnPnDj179kx3pFuoUCG6du3K7WwMCiFyTrG0RGn9ZobOWOq1a6g/H0AZN0ajZCKr\nTp48ybZt2xg3bhwhISGsX7+eK1eusGLFCj7++GOt4wkhnmPWU9ADBw5kzJgx9OrVC5e/7yW9ffs2\nGzZs4PDhw+aMIp6hdGiHfs58GJg2OYaq16cNNznaJ+06scgTAgMDGTBgAC4uLqxcuZJu3bphbW2N\nl5cX//jHP7SOJ4R4jlmPgBs2bMiuXbsoUaIEQUFBnD9/HltbWw4fPiyDxWtIqVkDAPWvy2n/3bYd\n7GzRvaBjlsidSpcuTWhoKAB79+6la9euAFy8eJEKFSpoGU0IkQmz94IuW7YsPj4+5m5WvMKl8s4E\nv/seAU5l+CLiAcW3bNA6ksiirl27Mn/+fH777TeSkpJo2bIlhw4dYvz48Xz55ZdaxxNCPCdXjAW9\nePFiVFXNtJekML0TJ06w9PcTrFQVGlkUYum9u/QID6e+k5PW0UQWFCtWjNOnT3Px4kXq1KmDpWXa\n7v3tt9/i6empcTohxPNyRQF+nYnCL1++zL59+zIsv3DhAuXLlzdFrHzr999/Z8uWLej1eubNm4ef\nnx+T58+n2IcfUSzkNp4L5rF//37q16+vdVSRRUWKFOGNN94wPG7btq2GaYQQL5MrCrCtre0rn2Nv\nb0/16hlHYqpTpw7lypUzRax866+//mLhwoX861//4tdff8Xe3p4HDx5g+UtaR7j4778nNTVV45RC\nCJG/5YoC/DrKlSuXaaG9f/8+qqpqkCjvGjZsGDt37mT9+vUcOXIEJycn3nvvPRISEoiNjWXlypXs\n3btX65hCCJGvmbUAL1y4kICAgEzXDRgwgP79+5szToHWo0cPChUqxPLly5k+fTo7duzAz88PVVXZ\nvHkzJUuW1DqiEELka2YtwIMGDcLPz49JkybRoEGDdOuejlsrTO/dd99lxowZRERE4OrqCoCTkxMT\nJ07UOJkQQhQcZi3Ajo6ObNy4kU8//ZQBAwaYs2nxjC+++IJ169ZRsWJFevbsqXUckUelpqby5MkT\nihYtqnUUIfIks09HWKtWLbZv327uZsUzHB0dmTJlCn369DHcqiLEq/j6+vLLL78AsGrVKqpVq0ad\nOnUYPHgwT548MVo7iYmJ/PDDD2zZsoWoqCgAwsLC+OCDD3j33XcJCQkxWltCaEnT+YCnT5/Oxo0b\ntYwghHhNYWFhPHz4kPj4eFavXs3Zs2cJDg6mUqVKrFixwihtpKam0qBBA86cOcPdu3cpU6YMV65c\nISgoiA8//JBBgwaxadMmo7QlhNY0LcBCiLwnLi6O+vXrY29vj06no3PnzkRERBhl2+vXr6dJkybM\nmTOHCRMmcPDgQb766iveeustIiMj+cc//kGXLl2M0pYQWtO0ALu7uxsmZRBC5G4uLi5MnDiRIUOG\n4O/vT2hoKOfOnWP06NH06tXLKG3Ex8fTsWNHw+NatWoZplL08PBg165dzJ492yhtCaE1TS8Aym1H\nQuQdY8eOZezYsYSEhHDu3DlsbGyIiIhg/fr1uLu7G6UNLy8v3n77bWrXro2TkxNt2rRh4MCBLFq0\niIYNG1KsWDEZeEfkG9IDRwiRJRUqVDDMrlSiRAkWL17M/v37jTKWe4MGDdi6dStDhgyhfPnyvP/+\n+4wdO5bExETWrVsHwOeff57jdoTIDaQACyFy5HXGcr979y7nz5/PsPz27duUKFEi3bKWLVty6tSp\ndMusra0ZPXp0zoIKkcvkiwIcERHB1q1bc7ydixcvEh4e/lpjU7+u1NRUIiMjcTLyzEKhoaFGn4Qi\nJiYGS0vLAv37V61aFTc3txxvKyoqiqpVqxohVe73Op+XmJiYTAuwqqpYWVnleP89deoUCQkJFClS\nJEfbyQlTfCazwhT7b1Zp/R7ExcXh5ORE7dq1c7Qdc+2/iprHB1JOTU1l1apV6HQ570+2a9cu4uLi\njPoBSkxM5MyZMzRr1sxo2wQ4cuQIrVu3Nuo2g4ODKVKkiFE7xuW1379q1aq0atUqx9sqXLgwgwcP\nxsLCIufB8jFj7b/fffcdtra2lC5d2kjJss4Un8msMMX+m1VavwehoaHY2trSvXv3HG3HXPtvni/A\nxuTr64uzs7NRR4e6d+8eH3zwAVu2bDHaNgFatWrF0aNHjbrN5cuXU7ZsWaP1aIW0sxPjxo0zyhmK\nZ5ni9//Xv/6Fo6Mj77zzjlG3m1/k5rHcP/74Y7p06ULTpk01y2CKz2RWmGL/zSqt34MdO3YQFhbG\nuHHjNMuQFfniFLQQwvRkLHchjEsKsBDitchY7kIYl4yEJYR4bTKWuxDGIwVYCJEtMpa7EDlj8dln\nn32mdYjcwtbWlgoVKlC8RQ2UIAAAIABJREFUeHGjbdPCwgJHR0cqVapktG0ClC5dmmrVqhl1m/L7\n2+Lq6prhvlSRuSNHjlCmTBnq1q2rdRTs7e2pVKkSNjY2mmUwxWcyK0yx/2aV1u+BtbU15cuXx8HB\nQbMMWSG9oIUQ2eLn54ezszMtW7bUOooQeZIUYCGEEEIDcg1YCCGE0IAUYCGEEEIDUoCFEEIIDUgB\nFkIIITQgBVgIIYTQQIEuwPfv3yc1NTXTdSkpKSQmJhp+tJacnMz9+/czXZeUlGTImZSUZOZk//Oq\n90yv16dbr9frNUj5P9HR0S98v3Lb319kLiYm5qV/n3v37mHKGz2io6NJTk7OdJ2pP0MvaxsgISGB\n2NhYo7f7lF6vJzIy8oXrn/3dU1JSTJbj7t27L1xn6vcgpwpkAU5NTaVbt26MGTOGRo0aERgYmOE5\n48aNo0GDBnh5eeHl5UV8fLwGSf9n8uTJTJ8+PdN1Hh4ehpzDhg0zc7L/edV7tm3bNqpWrWpYf/z4\ncY2SwsiRIxk6dCitW7fOdKaq3Pb3Fxk9ePCAZs2aERQUlGHdw4cPadKkCSNGjKBBgwZEREQYvf3B\ngwczYMAAqlevzokTJzKsN+Vn6FVtr1ixgnbt2tG0aVO++uoro7X7VGBgIA0aNKBPnz706dMnw5ec\ne/fu4eTkZPjdly1bZvQMACtXrmTkyJGZrjP1e2AUagH066+/qnPnzlVVVVV//vlntW/fvhme07Rp\nU/X+/fvmjpapgwcPqvXq1VPffffdDOvi4+PV+vXra5Aqo1e9Z9OmTVO3b99uxkSZO3LkiOFv/ujR\nI/Xjjz/O8Jzc9PcXGZ06dUqtU6eOWr16dfXUqVMZ1k+bNk1dv369qqqq+vXXX2f6N86J/fv3q8OH\nD1dVVVWDg4NVLy+vDM8x1WfoVW0/ePBArVOnjqrX69Xk5GTV3d1djYmJMWqGZs2aqbdu3VJVVVUH\nDhyoHjx4MEPGcePGGbXN540YMUL18vJSO3bsmGGdOd4DYyiQR8DNmzdn2rRpXL58mW+++YY333wz\n3Xq9Xs/t27dZtmwZ77//fqbfsM3l/v37fPnll7xoxNCgoCCsra0ZO3YsM2fO5N69e+YN+LfXec/O\nnTvHH3/8wZAhQ9i/f78GKdMcO3YMT09PZsyYwebNm/nkk0/Src9Nf3+ROXt7ewICAl44DOb58+dp\n1qwZkLa///nnn0Zt/9ntV6lShbCwsHTrTfkZelXbV69epV69eiiKgqWlJXXq1OGvv/4yWvuQ9u9S\nhQoVgMzf33PnzhEdHc2QIUP45ptvTHIKftiwYaxevTrTdeZ4D4yhQBbgp3bv3s3t27extrZOtzw6\nOpoWLVrQu3dvunfvTvfu3Xn8+LEmGd9//33mz5+fIeNTT548oUmTJkyZMoVSpUoxZMgQMydM8zrv\nmaurKy1btmTSpEl89tln/P7775pkDQ8PZ+3atTRp0oTw8HB8fHzSrc9Nf3+RRq/Xk5ycTHJyMqqq\nUr16dUqVKvXC54eHh1OsWDEA7OzsiImJyXGGlJQUkpOTSU1NTbd9ACsrq3RFxpSfoVe1/fx6Y/3+\nTz169AhLy//NZJvZ9m1tbWncuDGfffYZv/32G0uXLjVa+095eXm9cJ2p3wNjKdAFeOrUqfj7+zN1\n6tT/Z+/O42rK/weOv84NkcqWXZK1kCWEIktZa6wTWcIPWWLGboYxY2xjz1jGDGYYW8jYxjbMGGMJ\nWbPvTCPLpJGotJ7P74/L/UpFkU7p83w8eszcc889532P+7nvez5rkk4CFhYW+Pn5Ua1aNVxdXXFy\ncuLPP//M9Ph2797NuXPn2Lp1K6tWreLEiRPJ7hydnZ3x9fXFysoKHx8frly5wpMnTzI91rRcsyVL\nltC6dWtq1KjBgAEDNFvWrmDBgnh6etK2bVu+/PJLjhw5kqQzVlb595f+Z/Xq1dja2mJra5tin41X\nFSlSxFAOnjx5QqlSpd45hvr162Nra4uXl1eS44N+0ZG8efMaHr/Pz9Cbzv3q8xn1/l8wMzNLkvBT\nOv6QIUP45JNPsLa2Zvz48Zle1t/3NcgoOTIBr1+/nvHjxwMQFRVFiRIlkvyi++eff3B1dQVACMHZ\ns2epW7dupsdZo0YNZs+eTYMGDbCxsaF48eKGap8XNmzYYOic9eJXn7m5eabH+qZrpqoqTk5OhIWF\nAXDq1Cnq16+f6XGC/ov0+vXrgL4qTVVV8uTJY3g+q/z7S//Tu3dvbty4wY0bN2jQoMEb93dwcOCv\nv/4C4K+//qJWrVrvHMOpU6e4ceMGfn5+SY5/+fLlZF/u7/Mz9KZzV6tWjbNnzxIXF0dsbCwXL16k\nfPnyGXJuAEVRKFGiBDdv3gRSvr6ffvopu3fvBrQp6+/7GmSUXG/e5cPTqVMnNm/eTMeOHYmKimLG\njBkADB48mNq1azNgwAAaNmyIm5sbd+/epXPnzhQvXjzT4yxdujSlS5cG9L9y7969i62tLQ8ePMDe\n3p579+7RoUMH/P396dChA5cuXXovVT1pUbZs2RSv2fr16/n111/x8/Nj5MiRdO3aFSEEZmZmuLu7\naxJr+/bt2bx5M25ubty5c4dFixYBWe/fX0qfl8vFsGHD+PTTT1m/fj2xsbHs2rUrQ8/VokUL9u7d\nS+vWrbl//z6rV68GMuczlJZzjx49mrZt2/L48WNGjx6Nqalphpz7BV9fX3x8fIiJicHOzg5nZ+ck\n13/w4MEMGzaMxYsXExISwi+//JKh509NZl6DjJCjV0OKiop67fqhcXFxCCEwNjbOxKjeTmRkJCYm\nJuh02lZqpOWaPX36FDMzs0yMKvU4TExMMDIySvH57PTvL6Xs2bNnqfafyIzjv8/P0JvOnZCQgBCC\n3LlzZ/i50xrDkydPNKmReyEzrsG7yNEJWJIkSZK0kiPbgCVJkiRJazIBS5IkSZIGZAKWJEmSJA3I\nBCxJkiRJGpAJWJIkSZI0IBOwJEmSJGlAJmBJkiRJ0oBMwJIkSZKkAZmAJUmSJEkDMgFLkiRJkgZk\nApYkSZIkDcgELEmSJEkakAlYkiRJkjQgE7AkSZIkaSCX1gFIrxcaGkpUVFSSbZaWlkRERGBiYvLW\na50KIbh37x6lS5d+q9eHhYVhampK3rx53+r1kpRV3b59O9k2U1NTdDrdO5W59IqKiiIuLo5ChQql\n+TWvK5fx8fFcvHiRypUrY2JikpGhGryI2dzcnNDQUEqWLPlezvOhkHfAWdygQYPw9PRkyJAhhr//\n/vuPefPmERgYyL///sv48eMBOHDgAKtXr07TcSMjI2nbtu1bx/X5558TEBDw1q+XpKwoMTHRUM4c\nHR3p2rUrQ4YMYdWqVUyYMIEDBw689xj69esHwP79+1myZEm6XptauZw3bx6WlpbMnDmTpk2bMnjw\nYDJyKfhXY75//z5dunTJsON/qGQCzgamT5/Orl27DH/Fixdn6NCh1K1bl9OnTxMYGMi9e/fYs2cP\nly5d4unTpwDExMRw5cqVJMeKjY0lMDCQyMjIZOd58OCB4bUAt27dIjExkYSEBIKCgjh27BjPnj1L\n8pqIiAgePnwIgKqq3Lp1y/BcSue/c+cOhw4dIjw8/N0uiiS9B0ZGRoZy1rhxY6ZOncquXbsYNWqU\nYZ/bt28THByc5HUpfdYBLl68SHR0dJLX3r9/nxs3bgD6mqjz58+jqiqgL4N79uzh1q1bODs707dv\nX8Nrr169yt9//214/Lpy+bLt27fj5+fHtWvXWLduHcePHyc6Oprp06cDGGIB+Pfffw3fAZGRkRw9\nepSzZ88akvX9+/eJiori1KlThrL+uphfCA0N5d69e0m2ye8CWQWdLURERBAWFgZA3rx5MTU1ZfLk\nyXz00UccOXKEkJAQAgMDOXXqFEIIQkJCOH36NOvXr8fa2prr16+zefNmnjx5gqurK82aNePMmTPJ\nzrN3714uXrzIzJkziYiIoH379gQFBdGsWTPq1auXpEC+sH37dq5evcqUKVOIioqiffv2nD9/nrVr\n1yY7/8GDB5kyZQouLi4MHjyYrVu3UrFixUy7jpL0rubMmYO9vT3bt29nzpw5uLm5pfhZNzIyolmz\nZtSqVYvr16/j4eGBt7c3HTt2pFixYlSsWJFBgwYxZswYatSowalTp5g7dy737t0jKiqKXbt2UaxY\nMU6dOsWMGTPo2bMncXFx5M2blxIlSjBjxozXlsuXbd26FU9PT8zNzQ3bxo0bh5eXF+PHj6d169Zc\nvXoVIyMjZs2ahaOjI7Vq1aJLly60adOG48ePU7FiRRYvXszkyZO5cuUKdnZ2/Pnnn0ydOpXcuXMn\ni/mTTz4xnGvkyJE8evQIVVUpVKgQ8+fPZ8+ePfK7AJmAs4WJEydSsGBBANzd3Rk7dqzhOQ8PDy5c\nuEDHjh25c+cOQghsbW3p168fa9euxczMjO+++45du3Zx6dIlunXrxvjx4zl06BBDhw5Ncp6PP/6Y\nGTNmMH36dDZu3IinpydRUVGGQnrz5k2aN2+epl+s3333XbLz//3331SqVInevXvTq1evdLVtSVJW\n4OHhwcCBA6lTpw579uzBzc0txc86QMuWLZk4cSLPnj2jXr16eHt7Ex0dzcKFC6lSpQrDhg1j0KBB\nNG7cmKCgIJYvX87ChQspVKgQQ4cOxd/fH4Bz585x/fp1jh8/DsDPP/+crnJ57dq1ZHelFSpU4OrV\nq6m+T1VVWbZsGXZ2dhw6dIhhw4YZnnNxcWHChAls2bKF33//ne+++y5ZzC+EhYVx/Phxtm7dCkCv\nXr0IDQ3lwoUL8rsAmYCzhW+//ZbmzZunef+nT59y6dIlvvzyS8O2cuXKERwczEcffQRA7dq1k73O\nxMQER0dHDhw4wNq1a1m1ahW5c+dm1apVzJo1Czs7O4QQJCYmpnjeF9VoqZ3/k08+wdfXly5dupCY\nmMjq1aspXLhwmt+XJGnNysoKAAsLC6Kjo1P9rJ84cYKWLVsCkC9fPvLkycPdu3cNzwMEBARw9+5d\nNm3aBECZMmVSPOfdu3epWbOm4XGfPn149uxZmstljRo12LdvH05OToZtN2/epHz58sn2fVGGAcaM\nGUPu3Lmxs7NLcuw6deoA+o5p8fHxqVwpvWPHjvHw4UOGDx8OQOHChfn777/ld8Fzsg04mzMyMjIU\njhf/b2ZmRrVq1Zg1axZr1qzB3d0dKysratSowcGDBwEIDAxM8Xh9+/bF19cXY2NjLC0t2bt3L4qi\nsH//fqZNm0ZUVFSSwpgvXz5CQ0MBOH/+PECq59+2bRuNGzfm5MmT9OjRg3Xr1r3PSyNJ711qn/WW\nLVsaOmw9evSIf/75h1KlSgGg0+m/dl1dXenSpQtr1qxhzJgxhuSuKEqSczg7OxMUFATo233d3d3Z\ntWvXa8vly7p3787GjRu5evUqJ06c4P/+7/8YPXo0gwYNAvTNWi/K8IULFwBYvHgxXbt25bfffqND\nhw5Jjv1qfKltA2jcuDH58+dn9erVrFmzhkqVKmFpaSm/C56Td8DZnKWlJefPn2fq1Kk0adKEnj17\nUqVKFb7++mv69etHvnz5iImJYePGjTRs2JCOHTvSunVrbGxsUiw0jo6OXL9+nYkTJwLQpEkTpk+f\nTs+ePYmNjaVixYqEhIQY9m/WrBmTJk3Czc2NokWLGoY/pHT+e/fu0a9fP4oVK8adO3dYsWJF5lwk\nSXqPUvqs58qVi23btuHu7s7t27f58ccfk5W3gQMHMnbsWNatW0d4eDjz588HoHLlyrRr146ePXsC\n+jvNnj170qZNG4QQdO3aFRcXF2bPnp1quXyZk5MTkyZNonPnzpibmxMTE4OqqkRFRZGQkMCAAQNo\n0aIFZcuWNfw46NSpE2PGjOHw4cPkyZOHhIQEEhISUr0Gr8b8QoECBejTpw+tW7fG2NgYa2trSpYs\nSa1ateR3AaCIjOyLLmlCVVUSExPJnTs38fHxGBkZGQpSdHR0sjF/z549S/dYxoiICAoUKJDu51M6\n/5MnT5J0CJGkD0FqZS1v3ryp3iGm9rrY2FiMjY2TbHuRAHPl+t9905vK5ateLnubN2+mQ4cO6HQ6\noqKiMDY2TnJsVVWJjo7G1NQ0TcdOKeaXjxUfH5/s+Zz+XSATsCRJkiRpQLYBS5IkSZIGZAKWJEmS\nJA3IBCxJkiRJGpAJWJIkSZI0IBOwJEmSJGlAJmBJkiRJ0oBMwJIkSZKkAZmAJUmSJEkDMgFLkiRJ\nkgZkApYkSZIkDcgELEmSJEkakAlYkiRJkjQgE7AkSZIkaUAmYEmSJEnSgEzAkiRJkqQBmYAlSZIk\nSQMyAUuSJEmSBmQCliRJkiQNyAQsSZIkSRqQCViSJEmSNCATsCRJkiRpQCZgSZIkSdKATMCSJEmS\npAGZgCVJkiRJAzIBS5IkSZIGZAKWJEmSJA3IBCxJkiRJGpAJWJIkSZI0IBOwJEmSJGlAJmBJkiRJ\n0oBMwJIkSZKkAZmAJUmSJEkDMgFLkiRJkgZkApYkSZIkDcgELEmSJEkakAlYkiRJkjQgE7AkSZIk\naUAmYEmSJEnSgEzAkiRJkqQBmYAlSZIkSQMyAUuSJEmSBmQCliRJkiQNyAQsSZIkSRqQCViSJEmS\nNCATsCRJkiRpQCZgSZIkSdKATMCSJEmSpAGZgDUUERHBs2fPtA5DkiRJ0oBMwBrYt28flSpVwtbW\nFktLS+rWrcvZs2ff+njDhw9nypQp6XrNP//8g6IoJCYmvvV502rixInExcUBUL58+Xd6r5KUVk+e\nPEFRFEqXLo2lpSWWlpaUKVOGjh078u+//771cVP7DB86dAh7e/u3Pm5AQAA1atR469enV/369Vm3\nbl2mnU9KTibgTBYXF4eHhwdLlizh3r17hIaG4uXlRceOHbUO7b1ITExk8uTJqKoKwOHDh6latarG\nUUk5ydmzZ7lz5w537tzh/PnzJCYmMn78+Lc+nvwMSxlFJuBMpqoq0dHR5MmTBwCdTseQIUNYtmwZ\nCQkJABw8eBAnJydKlSqFj48PMTExAKxcuRJbW1tMTU2xt7fnxIkTyY7/8OFDOnXqRMGCBalZsyYH\nDx58qxi/++47ateuTenSpZk0aZIhgUZERODh4UGxYsVwd3cnKCgIgEuXLtGsWTMKFCiAlZUV8+bN\nA8DT0xOAmjVrEhYWRq9evbh16xYABw4coFOnThQuXJgOHTrw4MEDAGbPns3cuXNp0qQJBQsWpFu3\nbrKqXsoQhQoVwsnJicePHwMghGDq1KmUKVOG0qVLM23aNIQQAKxevZqyZctSpEgRPDw8CA8PB0jy\nGd68eTN2dnaUK1eOLVu2GM7zzTff8P333xseT506lSVLlgCpl5WXXbt2jQYNGmBmZoa9vT1Hjx5N\nts/gwYPx9/c3PP71118ZMGAACQkJ9O3bl4IFC2JlZcXMmTPTfZ0OHDhAzZo1KViwIJ06dSIsLIzI\nyEhq1qxpuHYAPj4+bN68+bXXsVmzZsyYMYPixYvz22+/vfb9b968mVq1alGmTBlmzZqFq6sr8Pp/\np2xNSJluypQpIleuXKJly5Zi/vz54u+//zY8d//+fWFhYSGWL18uwsLChLu7u5g3b564du2ayJ8/\nvzh9+rR49OiR8Pb2Fi1bthRCCDFs2DAxefJkIYQQ7u7uok+fPuL+/fti+fLlonz58inGEBwcLACR\nkJCQ7LmFCxeKatWqicDAQBEQECAqVaokli1bJoQQon379sLLy0vcv39fLFq0SDg6OgohhKhdu7aY\nNWuWiIyMFJs2bRJGRkbiv//+E+Hh4QIQ9+/fF6qqCmtraxEUFCRu3bolzM3NxYoVK8SdO3eEp6en\n4f2MGTNGWFhYiN27d4u///5bVKpUSfz8888Z9w8g5QgRERECEL/88ov4/fffxe7du8X8+fNFoUKF\nxObNm4UQQqxcuVJUqVJFnD59Whw/flxUq1ZNHDt2TDx79kyYmpqKM2fOiPDwcNGmTRvxzTffCCGE\n4TN88+ZNUaRIEbFlyxZx7tw5UaNGDVG7dm0hRNIyKYQQQ4cOFdOmTRNCpF5WDh8+LOzs7IQQQnTu\n3FlMmzZNREdHiwULFhiO+7Lly5cLd3d3w2MPDw+xdOlSsX79etG4cWMRFhYmLl26JMzMzMT169eT\nvd7BwUH4+fkl2x4aGirMzMzE6tWrxb1790SfPn3EyJEjhRBCtG7dWqxatUoIIURUVJQwNzcXDx8+\nTPU6CiFEmTJlRIsWLcT27dvFgwcPUn3/N27cEBYWFmLz5s3i0qVLom7duqJcuXKv/XfK7mQC1khg\nYKD49NNPRbly5YROpxO+vr5CCCE2bNggqlevbtjvzp074syZMyIiIkJcuHBBCCHE48ePxbx58wyF\n9UVh/++//4ROpxOXLl0SERERIiIiQjRq1EicPXs22flfl4AbNmwo5s2bZ3g8bdo04ezsLGJjY0Wu\nXLnE5cuXhRBCqKoqfvvtN5GQkCBOnDghEhISRHx8vDh16pQwNTUVV65cEQkJCQIQz549E0L878vL\n19fXkLyFEOL69esCEP/++68YM2aM8Pb2Njzn4+Mjvv7667e+1lLO9CIB29raCltbW5E7d25Rt25d\ncebMGcM+zZs3FzNmzDCUl7lz54ovvvhCxMTECBMTEzF37lzx4MEDERsba3jNi8/wDz/8IJydnQ3b\n582bl6YEnFpZeTkBd+3aVXTq1EmcOXNGJCYmiri4uGTvLzw8XJibm4snT56I6OhoUbBgQfHff/+J\nTZs2iXLlyolff/1VxMTEiJiYmBSvT2oJ+IcffhANGjQwXJPr168LGxsbIYQ+EbZv314IIcTGjRtF\nq1atXnsdhdAn4J07dxqOn9r7X7hwoWjRooVhv59++smQgF93/OxMVkFnssTERCIjI3FwcGD+/Pnc\nvn2brVu3Mm7cOK5du8bVq1dxcHAw7F+mTBlq1aqFmZkZGzZsoEqVKtjY2LBp0yZDtfALISEhKIpC\n8+bNqVKlClWqVOHGjRscOXIEb29v8uTJQ548efD29n5tjMHBwTRs2NDwuGHDhty7d4/bt2+TL18+\nbGxsAFAUhVatWmFkZMTDhw9p3LgxxYoVY/To0SQmJiaL79VzNGjQwPC4YsWKFClShHv37gFQrFgx\nw3P58+c3VM9LUnodPHiQS5cucfLkSW7dusWdO3cMz929e5fZs2cbysvs2bM5c+YMxsbG+Pv7s3Ll\nSkqXLo2bmxtXr15NctwbN25Qp04dw+P69eunKZ60lBVfX1/i4+NxcHDA1tY2SVXzCwULFqRZs2bs\n3LmT3bt34+joaGjO6d69O/369aN48eKMGTOG2NjYNF+vkJAQzp8/b7gmjRs35vHjx9y9e5cOHTpw\n4MABIiMj+eWXXwxNTKldxxcsLS3f+P5v3bqVpBNbvXr1DP//puNnV7m0DiCn2bZtG9OnT0/SfvvR\nRx9hZ2fH1atXKVy4MHv27DE8d+fOHU6ePMmTJ0/45Zdf2LRpE9WrV+fXX39l3LhxSY5tY2NDgQIF\nOH/+PBYWFoD+w16gQAHatm3L4MGDAShSpMhrY7SwsODixYuGL5Tz589Tvnx5ChUqxNOnT7l//z4l\nS5YEYPny5bi4uNC5c2dWr16Nm5sbxsbGmJiYvLaNxsLCgoCAAMPj+/fv8+jRI6ytrQF9cpekjFSj\nRg2mTp1Knz59uHjxIiVKlKBevXo4OzsbfpRGRkYaEoK9vT1nz57l4sWLfPXVVwwZMoQ//vjDcLyy\nZcuyc+dOw+Pbt28b/l+n0yVJeg8fPqRkyZI8evQoTWUlV65cbNq0iadPn7Jy5Up69epF69atk5Vd\nT09PtmzZQq5cuQzJMDY2llGjRjFp0iT27t3LkCFDqFatGgMHDkzTdXJwcMDR0ZG9e/catt27d4+S\nJUsafuBv27aNffv2Gdq1U7uOLxgZGQG89v07ODjw888/G17zck/zNx0/u5J3wJnMxcWFa9euMWXK\nFCIiIkhMTGTLli1cuXIFR0dHmjVrxunTp7l8+TKg75B09uxZHj16RKVKlahevTpCCH7++Wfi4+OT\nHDtPnjy4uLjw3XffoaoqDx48oGrVqly5coWyZctib2+Pvb09VlZWhtc8evQoyV9CQgKtWrVi3bp1\nRERE8OjRIzZu3IiTkxPFihWjRo0arF69GiEEhw4dwtfX13AsV1dX8ubNy7p164iJiSE+Ph4jIyOM\njY2JiIhIEmurVq04dOgQFy9eRFVVli1bRrVq1ShQoMB7vPpSTjdo0CDKly/PZ599BkD79u1ZsWIF\n4eHhCCHo2bMn8+bNIywsjOrVqxMSEkK1atVo06ZNsmM1adKEY8eOce3aNWJiYpLcpRYvXpzAwECE\nENy/f5+//voL0CcOSLmsvKxPnz78+OOPFC5cmB49emBsbJziD9qPPvqIgIAA/vrrLzp06ADA+vXr\n6dKlC4qi0KZNG6pUqZLq9YiMjExS/qOjo3F1dSUwMNBwh7lmzRpat25tuEv39PTkq6++olGjRoby\nmtp1TOl8qb3/li1bcvToUf78809CQkL46aefDK9L6/GzHa3qvnOy06dPi2rVqolcuXIJY2NjYWVl\nJfbt22d4ft68eSJ//vyiYsWKonXr1iIsLEw8ePBA2Nvbixo1aghbW1sxbdo0YWpqKqKiopK0N50+\nfVpUqlRJlC1bVlhbW4sZM2akGMOLNuBX/w4cOCDCw8OFm5ubKFSokChatKjo0aOHiI+PF0Lo22+s\nra1FuXLlhJ2dndizZ48QQohBgwYJKysrYW9vL3r27CkaNGgg/P39hRD6jhu5cuUSFy5cMLSfCSHE\nzJkzhYmJibC0tBTVq1c3dBQZM2aMmDBhgiHWVx9LUlq8aAN++PBhku3Hjh0TOp1OHDlyRERFRYmO\nHTsKc3NzUaFCBeHu7i6io6OFEEL4+voKKysrUbVqVVG2bFlx/PhxIYRI8hleuHChKFKkiChdurTo\n2rWroQ04JCRE2Nj1D2ISAAAgAElEQVTYiJIlSwobGxvRp08fQxtwamXl5TbgkydPipo1awobGxtR\nuHBhMWvWrFTfp6enp+jUqZPhcXx8vGjXrp2wsrISZcqUEW3atBFPnjxJ9joHB4dk5X/IkCFCCCEW\nLVok8ufPLypXrixq1qwpAgICDK+Ljo4WpqamYv369YZtr7uOZcqUERcvXjTs+7rviuXLlxvi9vb2\nFpUrV37j8bMzRYgPoS939vTs2TOioqIM1cUvS0hIICoqKtkd4X///UehQoXQ6V5fefHw4UMsLCze\nqSr3yZMn5M6dm3z58iV7LiwsLFncUVFRKIqCiYlJsv2joqLInz9/su0JCQlERES8sVpckt6nqKgo\ngBQ/ow8fPqRo0aKpvjY+Pp6YmBjMzMzS/NrXlZWXhYeHY2ZmRq5c6W8tjImJIS4uDnNz83S/FvT9\nVR4/fpyusvm66/jqfq++/9u3b3Pr1i1cXFwA8Pf3Z/HixYbag/QcP7vIEgn4RQiy3U+SJClnio6O\npkqVKvTv3598+fLxww8/sGDBAtzd3bUO7b3J1Dbg8PBwunXrRokSJRg4cKBhcgV/f38mT56cmaFI\nkiRJWYiJiQknTpzA2toaExMTtm/f/kEnX8jkBLxhwwaaNGnC7du3KVWqFB9//HGyzgeSJElSzlSi\nRAl69erF0KFDqVatmtbhvHeZOgzpxo0beHl5kS9fPiZOnMikSZPo168fbdu2fafjrly58sOYlkz6\nYJiYmNClSxetw8gWZPmVsprMKr+ZegfcqVMnBg4cyLFjxwD9KjnFixfnq6++eutjrlq1KsnYMUnK\nCnx9fdmxY4fWYWR5qZVfRVHe2NEwJ7C4eYtG3y/D+Gmk1qEkJQQlz1+k6u69b943G8qs8pupd8CO\njo74+fklGRM6e/ZsateubVicIL2EEPTu3Zs+ffpkUJQfvsTERA4cOECJEiXkqi7vyaNHjz74u7rE\nxERiY2Pf2JP3dVIrvw8fPuTRo0evHcOaU4hxn1MhKgrlNT2xtSISE3F4PskGgLh7F6V0aQ0jyhiZ\nVX4z/Sdm+fLlqV27dpJt3bt35+OPP37t6xISEnj69Gmyv6ioKNmOnE5ffPEFjx8/Zs6cOZw7dw7Q\nt8/36dOHli1bJpkBR5JeWLhwoWF1rSVLllC5cmXs7Ozo1atXuqY6TAtzc3PDbGs5nWJikiT5isDj\niJAQDSP6H+Wl5AsgVq0l8fMvEBcuahRR9pIlpqL09fVFCMGoUaNS3efIkSPMmTMn2fazZ89StWrV\nN85vnJWFh4cTGBiIk5NTimMJM9oXX3xBXFwcu3fvBvTTY/7yyy/MnTuXyMhIGjZsyK5du3Bycnrv\nsUjZx927dylXrhxRUVEsXbqUM2fOYGpqyqRJk1i8eDEjRozIsHMZGxtjbGycYcf7oBQvhvrJCJSW\nrii9eqJkoTGxymej4be9qN/MhPLWGE2dpHVIWVqWSMADBgx44z7Ozs44Ozsn2+7t7Z2tqvq2bdvG\n1atXsbS0pFu3bsTExNC3b1+GDBmCl5cXmzZtMsybmlHEs2cQGan/i4rGNCqKg0ePEHvzJk+3bOXJ\nvv3MrVeP0vMXoZv0FZs2beLPP/+UCVhKUWRkJLVq1TJM8ODu7s7mzZsz9Bzx8fHEx8e/U/X2h0op\nVw7dquWIZctRvf4Pnb8fyltM1PE+KDodStvWiNYt4XDAm1+Qw2WJfzVTU1OtQ8gUEydO5OjRo4wY\nMYJRo0Zx6NAh5syZw6JFiyhdujRLly4lIiKCwoULG14j4uKeJ84oiIzS/zcqChEZlWy7iHq+7aX9\niIoG4zyQPz+YmoKpKVvu3qGTfR0K1KnHxsBAqhcqSHAuI8o4O6P6fMpdlyYZ/iNAyv4sLS0ZOXIk\nFSpU4NKlS4SEhBAWFsagQYMMk/JnlMePH8s24NdQzMxQRg5DdPgIEhIgiyTgFxSdDpwbJ9mmbtkG\nRkYobVqh5M6tUWRZS9b6V/uAhYaGsnbtWq5fv47Y9yetJk/l+zlzCJ8+i5JmZszYuweHhHgKjP+K\nxJcTq04H+U0MyZP8JpA/P8qL/zc1BcsykN8EXf78zxPt82T7/LHySm/SqJUr+ezCBcLDw/ls/rfk\nzp0ba2trZhctQvPr1zl+LohZAYc0ulJSVjVkyBCGDBlCcHAwQUFB5M+fn9DQUFatWpXhYzbNzc1l\nFXQaKOXLJ3msrl6LUsMOpWYNjSJKndLIEXXR94gVK1E+ckPp0yvZd1NOk6kJeM6cOezfvz/F53r0\n6EH37t0zM5xMlZCQoF/e7/gJ1BZu6ObPRUEhvmABJgedoUStGgzs1v15os1vuGN9H1VLvXv3Ji4u\nLknP8/DwcH799VceNG/K7Lv3MclC7UpS1mJlZWVYUatQoUL4+vry22+/vbYPx759+5gyZUqy7dev\nX6dOnTrJekHLNuC3o9jX1re/limNrm8flCqVtQ7JQClaFKNJXyHu3kX8sgUePIBSpbQOS1OZmoC9\nvLzw8/Nj1KhRyXpCv26y8w9ByZIlKZM3Lzf6D8L0wO/8HHCYH+6HUKN+PVYs+JamTZtydMF8ZsyY\nkSm9P18d9lWwYEF69eoFQGKf/ohTp1Hq2Kf0UklKIi19OFxcXAyT7L8stT4csg347SjVqurbh/f8\njvr1FHTfL0QpWFDrsJJQSpdGGTY0yb+7uHcPbt6CRk45ak2ATE3AxYsXZ82aNXz55Zf06NEjM0+d\nJUw1MWdZQXP+WrSQihUrcuHCBczMzAgODtY6tCSUHp6oa9dhJBOwlAbvow+HbAN+e4qREUrb1iS2\ncOHQgQMUt7SkSpUqiMhIfdNVFpEk0RYogOq/Cb77AaVDO5ROHVDecm6I7CRXXFwcd+/exdraOlNO\nWLVqVTZt2pQp58pKxIaN6HQKgw/uxyeL/8JTmjdD/PQz4spVFBv5BShlPtkGnD63b99m165dKIqC\nl5cXZmZmfPHll9SpU4ddf/xBkyZNaG1ZlsQlP6Lz9EBxctQ65CSU/PkxWjgPceMGYsuviE1bULp1\n1Tqs9y5XSEgI06ZN46effsLT0xNVVVPdedGiRRQrViwTw/swiOs3EOv90S37PltUryhGRiieXVDX\n+MlxfJJBZvbhkG3AaXfnzh28vLwYNGgQDx48wNzcnJCQEPr160elSpUwMzPjwoULtGnTBl2Xzqir\n/WDZcnTTJmW5WauUihVRxozUj/54ibrvTxQnR5S8eTWK7P1IUgW9aNGi146plYump5+IjUWd8g3K\nsKFZciq51ChtWyNWrUEEB6M873Aj5WyZ2YdDtgGn3dSpU5k4cSItWrQA9N/Ta9euZezYsVy+fJnF\nixfj5+cHgNK4EUaNGyHOX4Cw/yCLJeAXklU/nzqDOm8BiqsLSnt3lEyqsX3fkvQBt7CwoGjRohQs\nWJCQkBCKFi2Kn58f/v7+WFhYyMnR34L47gcUWxt0zZpqHUq6KHnyoHzcCbF2vdahSFnEiz4cmzdv\npmrVqkn+MjoBP378mDt37mToMT9UZmZmSeYOKFWqFLGxsQQFBTF58mTWrl2brJ1esauebKiS+s1M\nxOUrmRJzeunGjkK3ajlYFEGdNE3rcDJMihl12rRp+Pv7s3XrVjZv3syZM2dYuXJlZseW7YmjxxDH\nT6AM/0TrUN6K0qEd4lgg4t9/tQ5FyiIyqw+HnAs67VxdXfn666+5dOkSJ0+eZObMmXh4eNCrVy9U\nVWXo0KGGO+DXsrVBnT6LxP6DECdOvv/A00kpXBhdz+4Y/fxjku3i4iXExUsaRfVuUuwFffToUXbs\n2EH//v0ZM2YM5cqVY/ny5ZkdW7YmHj1Cne2LbuoklHz5tA7nrSgmJijt3BHrN6IMG6p1OFI6BAYG\nUr9+fXbu3MnJkyf59NNPKVSokNZhpZlsA0671q1bk5iYyKRJkyhSpAgTJ07ExsbGsNBKWuk6toeO\n7RGnTus7YNar+54izmBmpqgTp0BiIkrrligfd8o2PahTvAO2srJi3rx5HDhwACcnJ+bNm6efREJK\nM3XGbJR27ihVbbUO5Z0oHp0Rf+xDhIdrHYqURvv372fEiBGEhobi4+NDvnz5MnShhMwQHx9PdHS0\n1mFkG25ubmzYsIHFixfTpEmTdzqWUsceXY9uSbapPy5H3bZdP698FqOULYvRimXovvgcHvyLCDii\ndUhplmICnj17Nqqqsn79ehRFoX79+m9cLlD6H3XTFoiMQunVU+tQ3plSoABKC1fExpw3dCy7CggI\nYNq0aezYsQMPDw/Gjh3L3bt3tQ4rXWQbcNaiuDSDs+dQu/ZAnTYDEROjdUjJKFUqoxs5DKVp0h8g\n6tIfs2wVdZIq6BftvS/s3LmTnTt3AnDw4EGaNWuWudFlQ+L2bcSqNeiWfPfBzHOqeHqg9h+E6NEt\nSy19JqWsfPnyrF27lnPnzrFgwQKWLl1KxYoVtQ4rXeQ44KxFsbZG+eoLRFQU4s+/4PFjKFECAKGq\nWeq7LtlQz1KlUH3nQ0wMSvuP0HXJOjeTSRJwiRIlUp15pkCBApkSUHYm4uJQJ3+DMmQQyvMP54dA\nKVYMxbEhYuuvKK9UTUlZT7du3YiMjMTV1ZUGDRpw+vRppk+frnVY6SLbgLMmJX9+lI/ckm6MjiZx\n+GiU5k1RWrhkueGWOve24N4WcfMm4tjxJM+JuDhN24uTJGBHR0ccHR05evQoo0aN4vHjxwghiIuL\nY/jw4djby6kJX0cs/RHFuhy6li20DiXDKd27og4fjfDonG06OOQ0Z86cSbYu75dffgnoa7f69u2r\nRVhvRY4Dzj4UU1N0Iz5F7P0DdYAPSptW6Ab01zqsZJQKFVAqVEi68egxEnfs0v9waNzotR1mxZkg\nxI5d6L4cn2ExpVhvMGvWLCZMmICNjQ27du2iTZs2ODpmranLshpx4iTi4GGUkcO0DuW9UMqWherV\nEDt3ax2KlApzc3OqVKmS4p+lpaXW4aWLbAPOXpRqVdGN+BTdZn+UV+Y8EFeuIh4/1iawN3FujM69\nLSLgKGqX7ojjJ1LcTRw8hPrtQsSDjB2SmeIwpNjYWFxcXDhx4gR37txhxIgR/PDDD9SpUydDT/6h\nEBERqDNmo/vqiyw12XlG0/Xohvrl14h27ihGRlqHI72iQoUKVHj1F/5zCQkJmRzNu5FtwNmToihQ\n6ZX+BqGhqJ+NBysrlGZNUNzaZJlaNEVRoIkzRk2cEdHREBYGwPbt26lbty4fffSRfsdGTuiqV0P9\nMmOn5k0xATdr1ozhw4fTqVMn5s2bh7W1teadOPbv388333yTbPulS5ews7PTIKL/UWfO0Y8/y4KL\nYGckpUplsCyD+GMfSquWWocjpSIsLIxevXoRHByMqqokJCTg4ODA2rVrtQ4tzWQb8IdDcW6MzskR\nTp5CHDwM5y9AFlxpTTExgbJlAf3n7+XmD0WnI/VJmt9eigl45MiR/Pnnn7Ro0YLr16/z+PFjvLy8\n3sPp065p06Y0btw42faBAwdqEM3/qL/ugP8eoUz5WtM4MouuRzfU+YtAJuAsa+3atdjb2+Ps7Ezl\nypV58uQJj7NqFWAqZBvwh0UxMoL6Dij1HZI9l/jpSJSqNigNG2SZmxgjIyOMMqGWL8U2YCMjI8PE\n3j4+PowfPx4zM7P3HszrKIpCrly5kv3pdDrNVhgSd+4gflqB7stxOaZKVrGvDSYmiMMBWocipSI6\nOpqmTZvSsGFDLly4QJ8+fThw4IDWYaGqarK/1BZ/kW3AOYdu1DAwNUVdvITEHr21Did1+fKhuLXJ\n0EOmeAc8evRo9uzZY3hsZGTE0KFD6d8/6/Vs04pITNQPOfLuh1KmjNbhZCpdD0/UNeswauSkdShS\nClxcXBgxYgR+fn6MGDGCYsWKaV6du3//fqZOnZps++XLl6lRI/ldj2wDzjkUKyv9ims9uyfrrCXO\nBCEuX0FpWF/zFZCUfPlQ2rbO0GOmmIBfLG8F8OTJE+bMmUPVqlUz9MTZnfhpBRQvph9jlsMojZxg\n2XLE6TP6O2IpS3FwcGDGjBlYWFgwY8YM/vjjD83HATdr1izFiXy8vb1TvAuWbcA5k1KwYNIN5awg\n4AjqV5P1E2n0/z90H1DzV4oJOG/evOR9vvCxmZkZ3bt3Z926dXIo0nMi6Cxi7x/oli/VOhTNKD08\nUdeuw0gm4Cxnw4YNye42IyMjWbx4sUYRpZ9sA5YAlEKFUIb6wFAQd+9C6MMkz4uAI1CoULadcz/F\nBLxhwwYuXLgA6Icv7N27l9GjR2dqYFmViIxEnTYD3bixKObmWoejGcWlOWL5Sv2qKTYpz54maaNT\np060bauvmYmNjWXHjh2EPR9ekV08fvyYR48epTozn5TzKKVLQ+nSSbaJ+HiE73wIDYXatdAN8kbJ\nRstYppiAS5UqRXx8PAA6nY527drRsGHDTA0sq1Jn++rHsmXBbvSZSTEyQvHsgrrGD6OpGTs2Tno3\nuXPnJnfu3IC+Bqt37944Oztnqx/Rsg1YSgtd0ybQtAkiIgJx8hQ8eQovJWAReBwqV0LJoktxJknA\nEyZMYPv27Snu6OPjo/mQH62pv+2BOyEoE8ZpHUqWoLRtjVi1BhEcrO9EIWUJx48fN5RjVVW5cOFC\ntuvDIduApfRQChRAcWmebLs4GoiYOh2KFkWxr4UyeGCWGrGSLAF/9tlnLF68mCdPnuDj40NiYiLf\nfPMNrq6uWsWYJYh79xDfL0U3fy7K87uLnE7Jkwfl404Ivw0o48ZqHY70XMGCBZNU3TZq1AgXFxcN\nI0o/2QYsZQTd8E8Qw4bCjZuI02cgLg6ez/cs4uPh5CmoYffGVd7Epcuo3y6ExER0C3wN+4v791EH\nDdW3Qzd1RtenV7riS5KAX3S+OnjwICtXrsTCwgKAnj17smLFihSHEeQEIjERdeoMlD69UMqV0zqc\nLEXp0A7Vsyfi339RihfXOhwJqFy5MpUrV9Y6jHci24CljPJiekzl1SkyFQV1yzaY8g2ULYtS1x5d\n/5QXLFFnzUX3wyJEwBHE6rUogwYAIE4HoXT3ROny8VvNR5FiG7Cbmxu9e/emR48ePH36lOXLlzNn\nzpx0H/xDIVatAdP86Dq21zqULEcxMUFp545YvxFl2FCtw8nRtm3bxldffZXic/Xq1ePHH3/M5Ije\nnmwDlt43JVcujGZNRyQmwtVriEuXAVCnzYCgszwsX/5/O8fGouTNC7Y2qDt2/W970FnE38GIHbtQ\nunqke1hqignYx8eHUqVK8ccff2BiYsKCBQuoX79++t/hB0BcuIjYvhPdT0u0DiXLUjw6o/bojejd\nM/k4PinTuLm50bx5c06fPs23337LlClTKF26NGvXrsU8m/XYl23A6SeCg/U/hNu5o9jaaB1OtqEY\nGUFVW8NQJmX8Z7B7JwUKFEi+c3w8vFRdrYwbi06nQyQkoHbpDhmRgAE6dOhAhw4d0nWwD42Ijkad\nOh3d2FFZthddVqAUKIDSwhWxcROKdz+tw8mxcuXKhZmZGYGBgXh5eVG9enVAP9lFu3bt6NUrfe1T\nWpJtwOmnTpuJUqc26vRZACgtXfV/xYppHFn2oigKFDAnz8srNllYIM5fQPy+D8WxISIsDGJjEf6b\nEDXt9DcebzEjYpIE7O/vT4UKFbhy5Qrnzp1LsmOLFi3eS0es2NjYLPtLV3y7EKW+A0qDnHn3nx6K\npwfqAB9Ed883dmiQ3i9XV1e8vb158OABRYoUYf369TRvnryHaFYm24DTR/z7L4SGogzoj26gN+Ly\nFcTeP1C9B0N5a5RWLVCaOL92wXkpdboZUxErV0OxoujatkZcvgJPn6IM7K8fCWJigm7uzHQfN0kC\nLleuHEWKFKF8+fKGcYQvlMyAwc3R0dHMnDmTU6dOMWPGDIYOHUpwcDD16tVj5cqV5MtCHw71z/2I\nK1fR/fiD1qFkC0rx4igNGyC2/orSo5vW4eRo9vb2LFu2zDChTvfu3fHw8Mjw8yQmJhIbG/te7lJl\nG3D6iMNHUJwcDR2BFFsbFFsbxJBBcCwQdc/viEXf61ccatUC6thrtohNdqTkz4/iM+h/j1+q4n/R\nIettJFkNycHBgXLlylG3bl0qVapEly5duH//Pg8fPsyQcYTr168HYNy4cbRo0YL+/ftz+/ZtGjdu\nzNatW9/5+BlFhIYi5i9C99X4LLNwdHagdO+K2LQFERendSg50smTJ/H39+fYsWNs2LAB0E/EcfLk\nSZYsefc+DAsXLuTgwYMALFmyhMqVK2NnZ0evXr2IjY195+O/zNjYONu1W2tJHDqM0ij5VMFKrlwo\njZwwmvI1Or9VUNUW9aefUT26oS5ZhggO1iBa6YUU24CnTZtGbGwswcHBbN68mUqVKrFy5Ur69Onz\nTie7dOkSvXr1okaNGhQtWtQwt3STJk3YtGnTOx07owghUKdM13ctr1jxzS+QDJSyZaFaVcTO3Siy\nx3ims7CwQFVVihQpQp06dZI8VywD2gHv3r1LuXLliIqKYunSpZw5cwZTU1MmTZrE4sWLGTFixDuf\n4wXZBpx2IiICbtyEunVeu59ibq4vlx3bI/75R19FPfpzKFxY31bs2hwlpY5H0nuT4nrAR48eZfLk\nyWzZsoUxY8YwfPjwZG3Cb6Nbt254eXnRokUL6tSpw4ABA1ixYgU+Pj54enq+8/Ezgli7DnLnQtc1\n46vscgJdz+6I9f76rv1SpipXrhwODg5UqFABKysrunTpQv78+bl8+TI1a9bMsPNERkZSq1YtzM3N\n0el0uLu7ExoammHHB7kecHqII8dQ6tVN1wRBStmy6Pr3Refvh25gf7h+A7VHbxLHf4k4cFA/SYX0\n3qWYgK2srJg3bx4HDhzAycmJefPmZcgwpDp16nDgwAFmzJjB8uXLGTt2LMHBwfz444/Y2mq/moW4\neg2xaQu68Z9pHUq2pVSpDGVKI/7Yp3UoOdb+/fsZMWIEoaGh+Pj4kC9fvgy5O7W0tGTkyJH07t2b\n33//nZCQEIKCghg0aBCdO3fOgMj/x9zcPEP6neQE4nAApFD9nBaKoqDY10b3+Rh0v6xHadYEdftO\n1I89UX3nIy5eyuBopZelWAU9e/Zsvv/+e37++WcSEhKoX78+H3/8cYacsGDBgobqsZYtW9KyZdrW\ndrxx4wZ79+5Ntv3SpUsZUlBFTAzq5GnoRnyK8nwGMOnt6Hp0Q52/CD6gdTuzk4CAAKZNm8aOHTvw\n8PBg7NixtGjR4p2PO2TIEIYMGUJwcDBBQUHkz5+f0NBQVq1aRbVq1TIg8v+R44DTRsTEwJkglC8+\nf+djKXnzorRwhRauiIcPEb/vQ53tC/Hx+l7ULV1RSpTIgKilF1JMwHFxcZw9e5YFCxawYcMGNm7c\nSKdOnQxTU2Y0X19fhBCMGjUq1X2MjY0pWrRosu158+bFKAMm1xYLF6PUrIHi3Pidj5XTKfa1wcQE\ncTgApZGT1uHkOOXLl2ft2rWcO3eOBQsWsHTpUipmYH8GKysrrJ4vvlEojePjHz9+zD///JNs+6NH\nj1Js55VtwGkUeByqV0PJ4OukFC2K0t0Tunvqawb3/q6f87icFUrLFihNnTP8nDlRigl42bJleHl5\nYWFhQcmSJenevTv+/v74+Phk2Inj4+PR6XQYGRkxYMCbu3FbWlpiaWmZbPvevXsRQrxTLOLQYUTQ\nWTnbVQbS9fBEXbMOI5mAM123bt2IjIykefPm2NnZcerUKaZPn/7ezpeWH9C3bt1i5cqVybZfvXqV\n8i9P+fecHAecNuLwEZTGjd7rOZQqlVGqVEb4PB/StPcPxOIf9HMktGoBdeug6FJszcwybt++zfXr\n1wFo0KBBlulhn2ICvnz5MgMGDGD37t0AWFtbc+TIkXc+WUJCAp9//jlbtmwB9GsNGxsb4+npyWef\nadPuKv77D3Xut+hmfqOf61PKEEojJ1i2HHH6jP6OWMo0iqJw/fp1du7cSXR0NLt27aJ+/frUrVv3\nvZwvLT+g7e3tsbdPvoa2t7d3ij+g5TjgNxOJiYhjgegGv/041PRQjIzAyREjJ0dEZCTiz79Qf14N\nM+foe1C3bolibZ0psaTXrFmzcHR0xMjIiISEBAD27dtHQEAA+fPn59NPP00290VmSPFnS79+/fDw\n8ODChQusWrWKTz75JEOmsZs3bx4AV65c4ebNm1y/fp3Tp0/z4MED/Pz83vn4b0P9ZiZK5476zkNS\nhlJ6eKKuXad1GDnOkSNHUBSFyZMnA/Dtt98yd+7cDD1HfHw8ic97upuammJqapqhx5fjgNPgTBBY\nWaEULpzpp1ZMTdG1c8do8QJ08+dCnjyon08gsf8g1I2bEOHhmR7T69y/f5/w8HBKlixJ4cKF8ff3\np3fv3jRq1AgTExPc3NyIjIzM9LhSTMBNmzZlyZIluLq6UqBAAXbu3EmZt5jn8lX37t2jU6dOSX5p\n5MmTh3bt2mky5ED1/wXi4lF6ds/0c+cEiktzuHsPceWq1qHkKBcvXqRBgwaGmY5KliyZIRNlJCQk\nMHr0aCpUqICNjQ02NjZUr16dqVOnEp/Bw1bi4+OJjo7O0GN+aMShAJTG2jfxKGXKoOv3fxhtWItu\n6GC4/Tdqr74kjpuAuv+vLDExT/PmzenUqRPr1q0jKCiIOXPmcOzYMZo3b87gwYNp2LAhe/bsyfS4\nUqyCPn78OFWqVOGLL77I0JP17NkTHx8fOnfubGjPvXPnDqtXr2bfvswdtiJu3kSsXYdu6WI5Jdt7\nohgZoXh2QV3jh9HUSVqHk2N4enri7OxM9erVyZUrFxs3bnznSXQgaQ3Wix/RcXFxjBw5Ej8/P3r3\n7v3O53hBtgG/mTh0GN2ib7UOIwmlVk2UWjURw4bq+9bs3oPwna+fh7pVCxS76pkek6qqlC9fnjJl\nytCsWTOuXbuGlZVVkg5+iqK8c1+it5FiAp4yZQpff/11stl03lWdOnXYunUrO3bs4Pz586iqStmy\nZdm3b1+GzIIw9AIAACAASURBVNSTViIuDnXyNyifDpGLyL9nStvW+snKg4NRnvecld4vMzMzfv/9\ndzZv3kxwcDCffPJJiu2v6XXv3j08PDxSrME6fvz4Ox//ZbIN+PXEpctQoABKqVJah5IixdgYxdUF\nXF0Qjx7phzT5ztevq9vSVZ+MM2mct06n49ixYxw5coSYmBgmT55MREQEY8aMYeTIkQQFBTFp0iSe\nPn2aKfG8LMUE7OrqSq9evXB1dTW07bi4uGTIiiolS5bE29v7nY/zLsT3S1EqV0Lnkr1WiMmOlDx5\nUD7uhPDbgDJurNbh5Ai3bt1CVdU0dY5Kj8yswZLjgF9PHM4a1c9poRQujNLVA7p6IK7fQOzZi+rz\nKZQpo++41dT5va+g9qKZ5MWPR29vb4yMjPD19aV48eKEhIRkeD+GtEgxAdepUydZ9XNKY3CzIxF4\nHHHkKLoVy7QOJcdQOrRD9eyJ+PdfWeOQCV6MMnjdsKC3kZk1WHIc8OuJg4fRfT1B6zDSTalUEaVS\nRcTggXD8hH6Vpu+XoDjUQ2npCvXq6ntbvwev9nLu27cvffv2fS/nSqsUE3CjRu93XJlWxOPHqDPn\noJv0lRxEnokUExOUdu6I9RtRhg3VOpwPXoMGDejZsyfXrl0zTJ5jbW1N//793/nYmVWDJduAUyf+\n/hsSErL1YjGKkRE0bIBRwwb6IU37D6CuXQ+z5qK4NNNXUWfj95dWKSbgD5U6fRaKe1tNOgLkdIpH\nZ9QevRG9e6IULKh1OB+0YsWKMW3atCTbimezmgfZBpw6cfhIiksPZleKqSnKR27wkRvi3j39Kk1f\nTgITE317cQsXTYZaZYYck4DVLdvgyVOU3l5ah5IjKQUKoLRwRWzchOLdT+twPmiVKlWiUqVKWofx\nTmQbcOrEoYBkk2/ExMRw6tQpABo2bIgui89MlRqlVCmUPr2gTy/EufOIPb+j9u4Htjb69uJGTh/U\nGu1JEvCECRPYvn17ijv6+PgwcODATAkqo4ngYMTPq9B9v/C9tS9Ib6Z4eqAO8EF093zvnS6k7E22\nAadMPHwIDx5ADTvDtpiYGLp160bFihW5efMmwcHBHDlyJNv/gFFq2KHUsNMPaTocgNjzO2LeAhTn\nxvo745o1tA7xnSX5mTRhwgQOHz5M9+7dcXd3Z9euXWzfvp2GDRvi6uqqVYzvRCQkoE6ahjJ4AEqp\nUhk+XEJKO6V4cZSGDRBbf9U6FCmLk+sBp0wcCkBxckwy9/Lo0aNp164ds2fPZvPmzbi6urJ06VIN\no8xYSp486Jo3w2jmN+hW/gRWZVEXLibRsyfqipWIu3e1DvGtJbkDzps3L3nz5uXgwYOsXLnS0IGj\nZ8+erFixgqlTp2oSZHpFR0ezZcsW4uPj6fBvGGaWZVBdXZg+bRq//fYbhw4d0jrEHEvp3hV1+GiE\nR+dsX5V04cIFjh49irm5OR4eHppX+23bto2vvvoqxefq1avHjz/+mMkRvT3ZBpwycTgA3cedkmxL\nTEzEwcHB8Njd3Z3ffvsts0PLFErhwihdPoYuH+snU9rzO+onI6BUKf1dcfOmKBoMJ3pbKX5juLm5\n0bt3b/z8/FiyZAmjRo2iVatWmR3bW0lISMDW1pZr166R/+o19nw+jqttWxEaGkqjRo0yZEpN6e0p\nZctCtaqInbu1DuWdBAQE0Lp1a/Lly8fGjRtxcnLK8OkY08vNzY3Dhw+zYMECw5KEf/31F97e3jg7\nO2saW3rJuaCTE0+fwtVrUDfpBEm1atVizJgxqKpKfHw8K1asoGbNmhpFmXmUChXQ+QxC98t6dF7d\nIegsqmdPEidORhw9hng+V3lWlmIC9vHxwdvbm4MHD3Lt2jUWLFhA48bZY53cVatW4ebmxtejRtHp\nxm0qLlvCghUrKFWqFE2aNNFkujEpKV3P7oj1/tmigKRm6NCh/Pbbb/RwdOSXX36hQYMG7Ny5U9OY\ncuXKhZmZGYGBgXh5eVG9enUKFSqEt7c3a9eu1TS29JJzQScnAo7ol/57pebI29sba2tr6tatS8eO\nHalZsyZdunTRKMrMp+h0KPUd0H31BTp/PxSHeqjr/FE7d0VdtBhx7brWIaYqxV7QDx8+ZMOGDRw4\ncIANGzYwYcIE1q1bZ6iSzsqePXum/7UfHY3uh0UUi47m3q9btQ5LeolSpTKUKY34Yx9Kq5Zah/NW\nKpQsRYXtu1BjYzH6+kvKlSvHs2fPtA4L0M9k5+3tzYMHDyhSpAjr16/PkFnsMpMcB5ycOHwEpWny\nmgydTsd3332nQURZj2JiguLWBtzaIB480FdRT5oKefLoxxa3cEEpUkTrMA1SvANetmwZXl5edO7c\nmZIlS9K9e3f8/f0zO7a34uzszCeffMLpu3f5Nz6eJk2a0LRpU63Dkl6h69EN4bdB6zDeijhylMkh\n91myZAmPB/Tj8OHDDB8+PMskOXt7e5YtW0ZwcDAHDhyge/fumq23/bbMzc0pmUlzBWcHIjYWzgSh\nNKivdSjZhlKiBLreXhitXYlu1HC4ew/1/7xJHPM56u9/6K+pxlK8A758+TIDBgxg9259O521tTVH\njhzJ1MBeFRMTQ3gKa0xGR0cnmWLMzs6OHTt2MHr0aEqUKMG4ceOSzNyzfv36TIlXej3Fvjbky6ef\n07ZR9pjTVoSHo85fBDduUmX1zyz7eQXd/+//KFOmDBcvXsxSk13Y29tTq1Ytnj17liWG8gQHBxMQ\nEJBs+40bN3BwcODZs2fky5ePZ8+eERYWhoWFBebm5kkev/p8Tnpc5NYtjKvaEmNkRNidO5rHk+0e\nVyhPvlHDifbuS9ixQAofCiDf/P9v787DY7reAI5/72SRkITY94g1SOz7HsFPLbE1paQoVRpLhSq1\nK62taKmttNqQ0KqKUlq1iyWCithjaSyVEBEkss/5/TE1TDORbSaT5Xyex9POvXfOeedO7n3n3nPP\nOV8T7/k2Ua1bpdo+p2bI05uAhw8fjoeHB6BpU92+fbs2GZvKX3/9xYoVK1ItDwwMxMnJSWdZ8+bN\nOXjwYE6FJmWRyvNt1L5bMMsDCVi95w/E2nUoPbujTJuCYmGhnZ4vN5o0aRK//fYbEyZMYPv27cyZ\nM4cmTZqYLJ7k5GRiY2P1Lv/vVHBqtZrExESEECiKglqtTrW+oL1WnzqN0rZNroknr75WLCwQtWqi\natMaVWIiyl/n9G6fU5QbN26Izz77jG+//VZnxbVr19i6dStWVlZ4eHhQuXLlHAsqM0aMGIEQIk91\nsZBeShkyHNWHYzRXxLmQuH8f9eKl8DwO1ccTUKpWzdD7li5dSo0aNejZs6eRI0zt+PHj+Pv706xZ\nM6Kjo2nfvj0zZ85k8+bNOR5LetI6fh8+fCjbgP8lUlJQ934T1Q/f5tshGXOb7t2707x58zS79RmK\n3jbgtWvXkpSUxLRp05g4cSKPHj3iu+++M2ogUsGkDBqA2jf3JQahVqP+cSvqUWNQWrZAtWp5hpOv\nqV28eJEWLVpob6OVK1eOhFzQ3pUZsg34FeeCoVIlmXzzIb23oPfv38+aNWtYuHAhXbp04cmTJ3JU\nGskoFLeOiG+/R1y9pnk6OhcQ16+jXrQUbG1QrV2JUrasqUPKlAEDBtCuXTucnZ0xNzdn69atDB06\n1NRhZYocC/olEXA8z8z9K2VOmpMx+Pv7884773Dr1i15G0gyGsXMDGXAW6g3+WE2d7ZJYxGJiYjv\nfRB7/kAZNQJVHu0iZWtry59//skvv/xCWFgYY8eOpVGjRqYOK1PkWNAviaMBqL5aYuowJCNIMwGX\nLFmSvXv34unpib+/P82by8ffJeNQur+B2OiLCAtDcXAwSQwi+DzqRUtQatVEtWFdnp4y8dChQzx+\n/Jj33385Y87YsWP1PsSYW8l+wBri8hWwtUWpUMHUoUhGoLcN2M3NDXNzc6ysrPjpp5+oX7++bI+R\njEaxtER5s69J+gWL2FjUS75EPW8+qjEfoJo5LU8nX4BLly7x0UcfsWDBAu2yCxcumDCizJNtwBqa\nbnr5Z+5fSZfeBDxy5Eht+4tKpWLBggV5dipCKW9Qertrxm+NiMixOkXAMc1co2ZmqHy+Q2nZIsfq\nNrZly5YRFhbG8OHDSUxMNHU4mSbHgtYQR49pux9J+Y/OLeiffvqJatWqceXKFc6fP6+zYefOnfPs\nlIRS7qcULozSsztiy1aUD8cYtS4RFaUZUOPW36hmz0BxrmvU+kzBzMyM1atXs2jRInr06IG5eZqt\nTbmSbAMGcfs2xMej1Kxh6lAkI9E5KqtUqUKJEiWoWrWqzuhSgLwdJBmd4tEP9TvvIoZ4Gu02sHr3\n75oBNXr1RJn+Ccp//s7zgzp16lD83y4rH3/8MQ4ODuzfv9/EUWWObAN+cfUrn37Oz3QS8K+//srO\nnTv1bujl5UXduvnvSkHKPZRixVA6uSG2bkMZMdygZYt79zQDasQnoPryCxRHR4OWnxucPn2amzdv\nUrlyZXx9fXVmQGrcuPFr3pk1KSkpJCQkGOUqVc4HrOl+pHrfsMeBlLvotAFPnz6dgIAABg4cSI8e\nPdi9ezc7d+6kZcuW8vazlCOUAR6Inb8hDDQVnVCrUW/5CbXXOJQ2rVGtXpEvky9oei5UqVKFUqVK\n0bhxY51/hriSXLFiBUeOHAE0g/XUrFkTFxcXBg8ebPCBPgp6G7CIjIR796B+PVOHIhmRzhWwlZUV\nVlZWHDlyhB9++EE7/aCnpycbNmxg3rx5JglSKjiUMmVQWrZA+P+KMnBAtsoS16+jXrgEihXNkwNq\nZFZwcHCaQ+c1bdo027OC3bt3jypVqhAbG8s333zDX3/9hY2NDXPmzGHVqlV4e3tnq/xXFfQ2YHH0\nGEqrligqvc/JSgawfft2jh8/jlqtZtasWSb5waf32+3evTtDhgzBz8+PtWvXMnHiRP73v//ldGxS\nAaUM7I/4+RdEFp/eFYmJqNeuQz3pExSPvpgtXpDvky9ojtuAgACWL19O1apV8fX15dChQ4wYMUIz\nR7aBxMTE0KBBA+zs7FCpVPTo0YMHDx4YrHzQtAEX5NH3RIBs/zWmb775ho8++oj+/fvTtGlT+vTp\nQ3R0dI7HoffRyCZNmlC0aFGOHz9O4cKFWb58udEG4oiNjaVIkSJGKVvKmxQHB6hbB/HbHpQ+vTL1\nXnEuGPXipSi1nVB9vx6laFEjRZn7mJubY2trS2BgIO+88w7Ozs6AZsIDd3d3Bg8enK3yK1WqxIQJ\nE6hWrRqXLl3i7t27REZGMmrUKNauXWuIj6BVkNuARUwMXLkKTU03e1V+98MPP3Dy5ElKlSpFkyZN\nuHXrFgcOHKBv3745GofeBDx37lxmz57NoEGDDFrZkydPiIuL075Wq9V069aN33//HRsbG2xsbAxa\nn5R3qTwHop45B+HeA8XMLN3tRUwMYvU3iFNBqD7yRmneLAeizJ06derEiBEjCA8Pp0SJEmzZsoWO\nHTtmu9zRo0czevRowsLCOHfuHEWKFOHBgwf4+PgY/AHNgjwWtDh+Aho3QrG0NHUo+VaFChVISUnR\nvo6MjKRmzZwfi15vAu7UqRODBw+mU6dO2qTo5uaW7YN44cKFLF68mMaNG2vnAL1+/Tp9+vThvffe\nY/hw+cSfpKHUqgkVKyD2H0Dp0vm124ojR1F/9TVKu7aaATWsrXMoytypUaNGrFu3jh9//JELFy4w\ncOBA7fzehuDg4IDDv0OG2tvbG6zcVxXkNmBx9BhKOzn4hjH16tWLcePGMX78eM6ePcvatWv57LPP\ncjwOvQm4cePGTJs2TWdZqVKlsl3Z559/TsWKFTlw4AArVqygTJkyNG/enBMnTmS7bCn/UQ16WzNg\nRhoJWERFoV62HG7fQTV3Nkqd2jkcYe508+ZN7OzsWLhwYY7Ut3TpUoQQTJw40WBlFtR+wCIxEc6c\nRZn8kalDydcGDRpEiRIl8Pf3p3jx4ty+fRsrK6scj0NvAm7TJvWvr+TkZINU6OXlRceOHRk6dKi8\n4pVeS2nUEKyt/x0PV/eBFPVvexDfrEfp0wtl1nSUPDbSkzFt374dwKAJ8XVenfQhLefPn2fLli2p\nlgcFBVGlSpVUywtsG/CpIKjthCKb44yua9eudO3a1aQx6D1rnThxgokTJxIdHY0QgsTERMaPH8/Y\nsWMNUqmTkxO7du1i5syZlC9f3iBlSvlTdLeuXPIay9JqDpQpU4avp05DWfolJCah+moJip6Td0HX\nokULPD09uXbtmrYroaOjI++9957B6khKSkKlUmFmZpahZzcqVKhAz549Uy2/cOGC3ocwC2obsGbu\nX3n7uaDQm4AXLVrE9OnTWb9+PUuWLGHJkiW0amXYGTksLCyYP38+kLFbWPv372fu3Lmpll+9epX6\n9esbNDYpd4iLi6N0n15cbtmWdaO8WO3tzdUDXam94DPNla+imDrEXKl06dKp2rNeJOLsSE5OZsqU\nKdorbJVKRaFChRgwYACTJ09ONXztq0qUKEHLli1TLS9TpgxCiFTLC2IbsEhJQRw/gWrEMFOHIuUQ\nvQk4ISEBNzc3goKCuHPnDt7e3qxZs8Yow9lBxm5hubm54ebmlmr5iBEj9B7AUt538uRJxo0bR41+\nb5IydASf9HFnaPBZNvXtberQcjV7e3s2bdpEWFgYarWa5ORkmjVrRpcuXbJV7rJlywC4cuWKNtkm\nJiYyYcIE/Pz8GDJkSLZjf6FAtgEHn4eKFVFKlDB1JFIO0ZuAXV1dGT9+PH379mXZsmU4OjpSvXp1\ng1ac2VtYUsFjaWnJs2fPUNq0xsx/KzEOlTku73aky9fXl0aNGtGuXTtq1qzJ06dPDTLIwD///IOH\nh4fOla6lpSXu7u6cOnUq2+W/qiC2AYuA43Lu3wJGbwKeMGECBw4coHPnzoSGhhIdHc0777yT7cqy\ncwtLKnhatWrFokWLcHNzY9y4ccwcNJAZM2aYOqxc7/nz53To0AELCwsOHz7MzJkz6dOnD+PHj89W\nuZ6ennh5edGvXz8qVaoEwJ07d9i4caPBZ1sqiG3A4mgAqqWLTB2GlIP0JmAzMzM6d9Z0/fDy8jJY\nZTl5C0vK+xRFYceOHfj6+nLz5k2+/PJLXF1dTR1Wrufm5oa3tzd+fn54e3tTunRpgySzxo0b4+/v\nz65duwgJCUGtVlO5cmX2799P6dKlDRD5SwWtDVhcvQaFC6P8+8NGKhh0EvD06dNfOx3hyJEjs1VZ\nTt7CkvIPQ4/Ilt81a9aMBQsWULJkSRYsWMC+ffu0DzxmV7ly5RgxYgQA06ZNw87OzuDJFwpeG7A4\nGiDHfi6AUiXgyZMns2rVKp4+fYqXlxcpKSl8/vnnBpmOMCdvYUlSQda2bVsAunTpku2Hr0yhoLUB\ni4DjqKZMMnUYUhqEWg1HA8DeHqWey8vlSUmIg4cAUCpWzPRgQDqzIVlZWWFra8uRI0fw9vamQoUK\nVK5cWTsdYXa9uIVlb29PSEgIwcHB2NjYGOUWliQVNDt27KB+/fp6/xmyD/ALdevW1f6QNrSCNB+w\nuHsXYmNRnArG1X5eJBYvRVy/gXr5SsSpoJcrzocgfvwZIh9BTEymy9XbBvxiOsJBgwbx7Nkzvvvu\nO7744ossB/+qV29hSZJkON27d6djx46cPXuWL7/8krlz51KhQgV8fX2NkswGDhxo8DJfKEhtwOJI\nQKqR3iQTi4klKSlJ+1JcuIjZxg2Idm1R+2zCrFlTzfJzwVCmNDx7BrWdMl2N3gTs5eVF+fLl2bdv\nn9GnI5QkyTCMPR1hTipIbcAi4Diq9941dRgFnvr3PxAnAjVXtddCeezi/HJlQoLmv7Y2mmT7QuVK\nqJxqaeYgnzIds5VfZapOvQn49OnTfPHFFzx8+BAhBP7+/owdO9ZgQ1FKkmQ8xpqOMCcVlDZg8egR\n3L0L9euZOpQCRdy6BXZ2uoOehN1GadsaZdxolMGDdZtFzcw0Az7d+welcuWXy83NoX49FGtrxMo1\nmY5DbwL+9NNPmTVrFu3atUOlUv1bf/pzskqSZHrGno4wJxSUfsAi4DhKyxYZmvNayh5xKgj1b3s0\nI44VLYrq80911qtGpt00qgz2RP3hRLh3D9WarxFHAxCRj1DKlEbtPQnsi6GMynzTqt4EbGdnR/Xq\n1QvEASBJ+c3jx4+ZM2cOV69eRa1Ws2/fPn799Vc2btxo6tAyrKC0AYujAah6u5s6jHxHPHwI0U9Q\narwcwVH8cx+lTSuUD8egFC+eqfJUb/wP0dnt5axrpUrxYiR6VQtN86yiUul/82voTcDt2rWjXbt2\nvPHGGxT/N9BOnToZpCuSJEnGtWHDBho2bIifnx+WlpYAeW7iioLQBixiYuDSZfg89SQzUuaJiAjE\nlq2Is3/BkyeaW8mvJODs/tBJa8rTrCTeF/SW6OzsnOqp53LlymW5EkmSco6dnR3FixfXO81fXlEQ\n2oDFiZPQqCHKvz+SpIwTQkBYGDrTkd76G8qWQTVzKkq1aiaKLHP0JmB9Uw8mJycbPRhJkrKvQYMG\n9O7dmz179uDo6AhA1apVMzTrWG5RENqANXP/yu5HmaH+/Q8IOoMIOo3StAnKjKnadUqL5igt8lZv\nHb0J+MSJE0ycOJHo6GiEECQmJjJ+/Hj5FLQk5QHFihVjyZIlOsvy2kA3+b0NWCQmwukzKB95mzqU\nXEsIAWq19gE18ewZBJ2BZk1QjR6V6Xbc3EhvAl60aBHTp09n/fr1LFmyhCVLlui9KpYkKfepXr16\nqulDTX0H68iRI3oH8wkODqZOnTqpluf7NuCg0+BUC8XW1tSR5CoiLk5za/7YCcTpM6j8fODfphTF\n1lbnijc/0JuAExIScHNzIygoiDt37uDt7c2aNWto3LhxTscnSVImRUZGMnjwYMLCwlCr1SQnJ9Os\nWTN8fX1NFlOrVq301j9mzBi9XRzzexuwZu5fefv5v9SzPgUrK5TmzVCN+QAlDz/HkBF6E7Crqyvj\nx4+nb9++LFu2DEdHx1S/qCVJyp18fX1p1KgR7dq1o2bNmjx9+pTo6GiTxvRilK7/srS01Nxq/I/8\n3AYs1GrE8ROohhXc6VfF1WuIgGPgWAVVx5dTjKrmz8u1faLFX+cQu3ajMuBVuN4EXKJECerVq0fn\nzp0JDQ0lNDQUKysrg1WaFZcvX9Y7VWJwcDAVK1Y0QUSSlDs9f/6cDh06YGFhweHDh5k5cyZ9+vRh\n/Pjxpg4tw/J1G/D5EChXDqVUKVNHkuPEpcuoP/0MChVCadcGpVFDnfW5JvmmpOi8FEeOov72e7Cx\nMWg1Ogk4JCSEGTNmEBQURJMmTVi9ejUAf//9t8mvgIsVK4aLi0uq5QcOHMi3v5QlKSvc3Nzw9vbG\nz88Pb29vSpcuneeOkfzcBlyQ5v4VV6+h1Kr5coGlBaolC1EqVDBdUBlgce060a8+m9CmNSrnuqhn\nzDFoPToJ2MXFhU8//ZTly5czevRobduMra0tVV7tb2UC5cqV09sX+ZdfftF7C0uSCqpmzZqxYMEC\nSpYsyYIFC9i3bx/z5883dViZkp/bgMXRY6i+WGDqMIxGXLiI2H8QceQoSpPGKJ98rF2n5LKmTCEE\nnApCxMWh6tBeu7zDByOp5vRydiNFpcIYWSbVLeh69eqxfv167euYmBhsDHzZLUmS8QQEBFCmTBmK\nFClCly5d6NSpE3PnzmXWrFmmDi3D8msbsLgWqnnI6NUB/fMZ9co1KG1bo1q1HKVMGVOHo5eIiUF8\n+z3i0GGoWBHVB7p95NU5dCtcJwEnJiYyZswYOnTogIeHBz169CA0NJSaNWuyY8eOfHlASFJ+8fz5\nc4YPH86lS5ewsbGh1L9tjDExMdjb25s4uszJr23A4mgASpv80aVTPHyI2LsPpU5tlIYNtMvNVq8w\nYVQZFHodShRHtXYlSkb7yFtbo3R/w6Bh6CTgJUuWYGZmRq9evdi8eTNFixbl5s2bzJ49mw0bNjBq\n1CiDVi5JkuEULlyYefPmsWPHDsqWLYuzszPPnz/H3t7e5E1ImZVf24BFwHFUH080dRjZIq5fR71y\nDdy8heLaAWrkrtvKrxKxsZrb4QHHMFv0shlGadhA50dDRijW1ijduho0Pp1RpE+ePMnYsWMpUqQI\nu3fv5u233wagTZs2XLp0yaAVS5JkeDt37iQ8PJyBAwfy888/89Zbb9GnTx/u3btn6tAyxc7OLt+N\nPy/u3YOnT1FqO6W/cS4mbv2Nqm9vVL/8hGr8WJRc2kSpXrUG9QBPCD6P6u3+pg5HL50r4JIlS3L3\n7l2qVatGQECAti04JCQEBwcHkwQoSVLGHD9+nK1bt7JlyxbCwsLw8fHh6tWrBAYGMnXqVLZs2WLq\nEDMsP7YBi6PHUNq2MXUYGSZiYhC/74VLl1HNnKZdruqcO2fFE8+e6YwspjjXRXl3CIq1tQmjej2d\nK2AvLy/ee+89WrVqxdtvv42NjQ2rV69m1apVeW5Cb0kqaAIDAxk0aBCVKlViz5499OrVC2tra1q3\nbm2UO1gpKSk8f/7c4OWCpg3YWGWbiiYB543uR+ovlqEeOBhCr6MMGmDqcNIk4uJQ7/yNFK9xiGPH\nddYp7drm6uQLem5Bjx49ms6dO1O5cmW+/vprAgMD8fT05Ndff+XZs2emilOSpHS8uIMFsGvXLtzd\nNfOfXrhwwSB3sFasWMGRI0cAWLt2LTVr1sTFxYXBgweTkJCQ7fJfFR0dzZ07dwxapimJqCi4fRsa\n1Dd1KHoJtVp3QbWqqDZvRPXJx7l2aj9x/TrqtwYizpxFNWwIqq7/M3VImWYOaPvRlitXLlWf2p49\ne2r/X9+YrZIk5Q7u7u4sXLiQEydOkJiYSPv27dm3bx/jx49n0aJF2S7/3r17VKlShdjYWL755hv+\n+usvbGxsmDNnDqtWrcLb23Az++SGfsBJSUlcvnyZWrVqZSmW2NhYIiIi+Pbbbylx/CT1VGY0jI7G\nwsIC13j07AAAHUVJREFUOzu7DJcTFxdHXFwcxYoVIzw8nPLly2c6lrSIhw8R/r+iONWCV26Pq/r0\nMlgdhiJiYnTbm4sUQeX7A0om9mVuoypRogShoaEMHjyY8+fP8/z5c8qVK0fr1q3p16+fzr/81iVA\nkvKTokWLcvr0aRYvXsyBAwcwN9c84vHdd9/RrVs3g9UTExNDgwYNsLOzQ6VS0aNHDx48eGCw8kHT\nBpyZJGVoK1eupFGjRixZsoS2bdvy2WefZbqMHTt2ULt2bcqWLcvg6jW4Ua4sPXv2ZMOGDZkqZ9++\nfcyZM4fHjx/j5eWV5nbDhw/PcJkiNhb1ZwtQDx8JycnQtEmmYspJ4uIl1PMXoR48TGe5Uq5cnk6+\nAOZFixblyJEjhIWFcfPmTW7cuMGvv/7KjRs3eP78OdWqVaNq1arY2dkxbNiw9EuUJMlkrKysaNLk\n5cm0UyfDPTBTqVIlJkyYQLVq1bh06RJ3794lMjKSUaNGsXbtWoPVA6btB7x37158fHw4e/YsFhYW\nJCUl0aJFC/r164fTv6MjXbx4EUdHR534nj17xr1797TbXLt2jTp16jDmvfd4OHAwXRfPZ2n37tjb\n2zNp0iTCw8Np3rw5gwYN0ttP+/Hjx1y/fp2Uf8clLlasGMuWLQM000ueOnUKOzs7nJ2dCQ8P548/\n/uDmzZtUrVqV5ORkLly4QHx8PPXr18fa2pr79+9jZ2fHlStXKHbvHxydaqGa8CGKtTVXr16lUKFC\nOt3VHjx4QHJyskGvuDNLvfALxIWLKL3dUY1N+8dHXmUOoCgKVapUoUqVKnTs2FG7MiQkhB07drB1\n61ZSUlJkApakAmz06NGMHj2asLAwzp07R5EiRXjw4AE+Pj7UrVvXoHW92g9Y3L+PCDqjs15p1QKl\nZEmA9Ner1Yhdu8HaKkNP8O7Zs4exY8diYWEBgIWFBadPn0ZRFBITE3F1daVBgwaEhobi4eHBiBEj\n2LBhAz4+PtSpU4dr166xbds2FEVBURSu373L23dusT4mhvj4eBwdHXn48CEBAQGcPXuWNWvW4O/v\nrzPe/qFDhxg9ejQdO3Zk//79dO7cmUePHjFgwAACAwPp3LkzzZo1IywsjJIlS/LGG28QGxvL7t27\n+eCDD3B1daVp06bExMRw4sQJzq34mjm+m7h6/TouLi4cOHCAefPm0cvKikGDBpGYmIiVlRVly5Zl\n8eLFTJgwgaioKNRqNfb29nz11VfZ+j4zSjx+jPLKjxGlX29Ukz/KkbpNQe9sSAB//fUX/fv3Z/bs\n2Wzbto2yZcsatOKkpCRUKpVsV5akPMbBwUH7UJexRtjSaQOOiYUbN3U3aFDv5f+nt14IzXqbjM0t\ne/36dXr06KGzTFEUQNPPukuXLsyaNYu4uDiaNm3KiBEjWLNmDYcOHcLa2po5c+awfft2atasycOH\nD2nTpg2LFy/mvffew9vbm7Zt23LgwAH+/vtvJk+eTM+ePVPtx7lz57Ju3TpatWrF3LlziYyM1K5T\nq9XcunWLSZMm0aFDBy5fvkzjxo2xt7dnzJgxPH36lKlTp9K1a1dCfTbi5uvHo02bwUyFm5sb06dP\nZ/v27fz55584OjoSGhrKqVOnAPj++++JjIzk1KlT+Pv7AzB48GAePHhA6YyOGJUFIvAU6m3bURyr\noHww8uV+z2VjRxtamgm4Xr16vPvuu7Ru3dpgyTc5OZkpU6awfft2AFQqFYUKFWLAgAFMnjxZ+4tT\nkqS8Y+nSpQghmDjRcCM8vdoPWKlRHcV7XJrbprvezOy16/+rbt26hIaG4ubmpl125MgRSpUqxcGD\nB+nSpQsA1tbWWFpaEhISQnJyMtb/dnlp2LAhO3fupHPnzpiZmVGkSBH279/PrFmztA+1fvLJJyiK\nwsyZM/nhhx/YuHEjxYsX19Z3+/Zt7V2FRo0asXfvXu06lUrFjz/+yNdff83IkSMZOHAgjRs31q63\nsLDAx8eHhd7eOFtZI2yKwOefosyapd3OxsaGpKQk7t27R/36L5/MHjp0KLt27eLhw4fa6SuLFy/O\n33//bZQELGJjUb/vBXZ2KH17oXRyS/9N+YgqrRVmZmZ88sknBh2A40X7xZUrV7hx4wahoaGcPXuW\n8PBw/Pz8DFaPJEk55/3332fkyJGv3Wb//v106NAh1b/du3cTERGRantT9gN+8803+frrr4mOjgY0\nbbHDhg3D2tqaLl26cPjwYQCioqK4ffs2zs7OmJmZERUVBWhuH9euXRuA/v37s3fvXgIDA2nfXjPb\nzsGDBxkxYgQNGzakW7duDBo0iM2bN+vE4OLiou3ydfLkSZ11cXFx+Pv7s3HjRq5fv86GDRuIj4/X\nXqXv3bsXRVE4uG8f848e4XlSkrYd+cU2L7Rr145z584BmgukHj160KJFC4oUKcLGjRvZtGkTNWrU\noFKlSobZuYBISnr5IjER1dTJmK1egapzp1Tx5XdpXgEbwz///IOHh4fOla6lpSXu7u7aWyCSJOUt\nGZktzc3NTeeK8oUffvhB73SiphwLukmTJkyZMoXOnTtjbW1NXFwcs2fPpkqVKpQrV44dO3bQo0cP\nbt26xfr161EUhdmzZzNgwADUajXW1tbMmzePXbt2AVC9enWGDRvGxIkTWbduHa6urpw/f55x48ZR\np04dtm7dmurJ6C+++II+ffrg4+ODpaUlJf9tzwbNlbcQgm7dupGUlISnpyeFQq9TQ2i6ovn4+DB/\n/nzemTKFhIQEqlevru0f/l82NjZ4enryxhtvIISgf//+lCxZkqFDh9K1a1cKFSqEo6OjQYYFFTdv\nIn7ahtKjGzhrru4Ve3vIYxOFGJIicnAy3TNnzuDl5UW/fv20v6ju3LnDxo0b2b9/f5ZucYwYMQIh\nhM4UipJkakuXLqVGjRo6/ejzui+++IKDBw/qXTdo0CAGDhyY6TJfJOChQ4fqLE9ISCAhIcGkXZFA\n82Sz7SvDG74QFxeHlZVVqiu22NhYihTJWFszwNOnT1/7GePj47GystK7LikpiaRHjyi0ai1cC0U1\nehSJzZpqb90/efKEokWLZiiO5ORkAG3XNdC0NSclJWW7P7aIikK9aAlcv4Hy1psob/ZFUaV58zVX\nyKnjN0evgBs3boy/vz+7du0iJCQEtVpN5cqVs5x8JUnKOe+88w5+fn5MnDiRhg0b6qx7MfWhoeSW\nsaD1JV9A2977X5lJvkC6PzDSSr6gaes12/kbuDijzJiKYmHBq3sso8kXdBPvCy+e0cm2S5dROnZA\n+exTFPnQrY4cTcCgGW1rxIgRmX5fTEwM9+/fT7X8yZMnr/0jlSTJMMqUKcOmTZuYMWMGgwYNMmpd\n+XU+YENT3hmEksvOf+qDh1C5dtC+Vtq0pmC17GZcjidgfTLyFOXly5dZt25dquWhoaE6T/FJkmQ8\nderUYdu2bUavJ7/OB5wd4uZN1F9+jdnypdpluSn5qv/ch9joB/bF4JUELKUtVyTg999/P91tmjZt\nStOmTVMtT+shDkmS8q7cMBZ0biHUasQ36xF/7kd5P+PDTeYk9ZIvEXfuoPrIG6Wei6nDyTNMloBf\nHYgjI09RSpKUu0ybNo3atWvj6elp8LJzSxtwbiAOHIRHUai+X68z321uovTrjeqVYSyljMnRR9GS\nk5P56KOPqFatGk5OTjg5OeHs7My8efNIerVvmCRJBVp+nA84M16dHlCpXw/VtCm5JvmKU0GkTJ2h\ns0yRyTdLcvQK+NWBOF70BU5MTGTChAn4+fkxZMiQLJX74MEDfvzxx2zHd+HCBcLDww16RZ6SksLD\nhw8NPpTn3bt3qVixokHLjI6OxtzcvEB//ho1alDNAPOfRkZGUqNGDQNElXvVrVuXChUqZLscfcfv\n48ePiYqK4uHDh9ku/3UiIiIoUaKE3qeADenevXsZ3ldlIh+BohBRonj6G7/CGMfvq+xiYnA9fY7k\nx9Gca92cewacfvK/4uPjiYmJ0en/bAwRERG4urqmeho9p47fPD8Qh6enJ2vXruXx48fZji8oKIiY\nmBiDntjj4+M5e/YsrVq1MliZAIcPH9aZOMMQQkNDsbKyMuioN3nt88fFxekMCZhVNWrUMOgUgLlR\nVvr9/ldax+/58+c5dOgQ9erVS+OdhhEYGIizs3Omuw9lhlqt5siRI3To0CHdbRW14IEQpJipQE+v\nj9cxxvH7qgi1mms1q7L/4EE6piRnOr7MePToEXfv3jX6A7anTp2iWrVqqX4c5djxK3LQ6dOnRbNm\nzcTChQuFn5+f8PPzEwsXLhTOzs4iIiIiJ0PRa/ny5WLbtm0GLTM8PFz079/foGUKIUT79u0NXuaK\nFSvEzz//bNAyIyIixFtvvWXQMoUwzuf/+uuvxdatWw1erpR5x44dE1OnTjV6PUOGDBF///23UetI\nSEgQXbp0MWodQhjn+NXHGMfef504cUJMmTLF6PW8++674ubNm0avJy052gb8YiAOe3t7QkJCCA4O\nxsbGRg7EIUmSJBU4eWYgDkmSJEnKT3L3gJySJEmSlE/JBCxJkiRJJmA2e/bs2aYOIrewsbHBwcGB\nYsWKGaxMMzMzypQpg6Ojo8HKBChZsiQ1a9Y0aJny89tQuXJl7Avw9Gi5RaFChShfvjzly5c3aj32\n9vZUq1YNS0tLo9WhKAqlSpUyercWYxy/+hjj2PsvS0tLypcvb5Bubq/z4vs31aAvOTodoSRJkiRJ\nGvIWtCRJkiSZgEzAkiRJkmQCMgFLkiRJkgnIBCxJkiRJJiATsCRJkiSZgEzAkiRJkmQCBToBP3r0\niJSUFL3rkpOTiY+P1/4ztaSkJB49eqR3XWJiojbOxMTEHI7spfT2mVqt1lmvfmXOU1OIiopKc3/l\ntu8/v4uKinrtnOBqtdogUxNGRESQXs/L+9mc5ef58+c8e/YszfVCCIPM3pbePnv27Fm251TO6H7P\n7j573Wcx5Hkjve//decEozDZNBAmlJycLNzd3cVbb70lGjZsKE6ePJlqm1GjRgknJyfRqFEj0ahR\nIxETE2OCSF/68MMPxciRI/Wuq1u3rjbOgQMH5nBkL6W3z7Zs2SIqVqyoXX/48GETRSrE8OHDRc+e\nPUXr1q3F5s2bU63Pbd9/fvbOO++Irl27CkdHRxEQEJBq/cmTJ0W9evVEhw4dhIeHh1Cr1ZmuIzo6\nWjRv3lx0795d1K9fP83Z11avXi26deuW6fJfWLlypWjVqpWoW7eu+PLLL1Ot37Ztm2jfvr3w8PAQ\n7u7uIj4+Pkv1pLfPpk+fLtzd3UXLli3FqlWrslRHRvf79u3bRa1atbJUhxDpfxZDnDcy8v2nd04w\nhgKZgI8ePSrmz58vhBBiz549YsCAAam2admypXj06FFOh6bX3r17Rf369fUm4NjYWNGgQQMTRJVa\nevtsypQpBp/uMSsOHDig/c6fPn2qd9q73PT952e///67GDZsmBBCiNDQUNG6detU27Rq1Uo7ZaCn\np6fYu3dvpuuZMmWK8PHxEUIIsX79er3f+fDhw0Xr1q2znIAfP34sXFxchFqtFklJSaJu3boiOjpa\nZ5tX/64mTZokNm3alOl60ttn0dHR2h/iz549ExUrVszKx8nQfr9//77o2LFjlhNwRr5/Q5w30vv+\nM3JOMIYCeQu6TZs2TJkyhStXrvDtt9/i6uqqs16tVnPnzh2WL1/OmDFjCAkJMVGkmtvkixYtIq0R\nQ0NCQrC2tmb06NHMnTuXiIiInA3wXxnZZ+fOnSMoKIghQ4bw+++/myBKjcOHD9OsWTNmzpzJ5s2b\nmT59us763PT953fBwcG0atUKgOrVq3Pv3r1U2zx69AgHBwdAc+yeOXMmW/WkVca7777LN998k+my\nX7h27Rr169dHURTMzc1xcXHh8uXLOtscP36c4sWLA3Dz5k0sLCwyXU96+6xo0aL4+vry4MEDli1b\nRtu2bbP0eTKy3728vFi6dGmWyoeMff+GOG+k9/2nd04wlgKZgF/YsWMHd+7cwdraWmd5VFQUbdu2\nxcPDg969e9O7d2/i4uJMEuOYMWNYuHBhqhhfSEhIoEWLFnz88ceUKFGCIUOG5HCEGhnZZ5UrV6Z9\n+/ZMnDiR2bNnc/LkSZPEGh4ezoYNG2jRogXh4eGppsfMTd9/fhceHk7RokW1ry0sLHTa3J8+fYq5\n+ctZU21tbYmOjs5WPWmV0bp160yXm1Ydr6sH4PPPPyc2NpY333wz2/X8d5+9cPToUY4fP07p0qXT\nbff+r4zs9xUrVtCxY0ecnJwy+QleyshnMcR5I73vP71zgrEU6AQ8efJk/vzzTyZPnkxycrJ2ecmS\nJfHz86Nu3bp06tSJ1q1bc+DAgRyPb8+ePZw/fx5/f398fHwICgpK9QuwXbt2LF26FAcHB7y8vLhy\n5QpPnz7N8Vgzss/Wrl1L165dqVevHu+//z7btm3L8TgBihUrxoABA+jWrRszZszg+PHjOg9e5Jbv\nvyAoUaKEzt+rmZkZVlZW2te2trapEnJWJmh4tZ6slpGZOl5Xz/Tp0zlz5gz+/v6oVJk/Bae3z17o\n168fe/bs4ezZswQFBWWqjvT2e1RUlPaO25w5c4iMjGT16tVG+SyGOG+k9/2nd04wlgKZgLds2cLU\nqVMBiI2NpWzZsjq/9m7fvk2nTp0AzROLwcHBNGnSJMfjrFevHosXL6ZFixY4OTlRpkwZ7S2hF378\n8UemTZsGvPyVZ2dnl+OxprfP1Go1rVu3JjIyEoAzZ87QvHnzHI8ToHnz5oSGhgKa22xqtVpnNpzc\n8v0XBM2aNePQoUMAXL58OdWJUVEUypYty40bNwA4dOgQDRo0yFY9WS0jPXXr1iU4OJjExEQSEhK4\nePEiVatW1dlm5syZPHz4kK1bt2Z5Bp709tnt27fp0KGD9nVsbCyVKlXKVB3p7Xdra2u+//57WrZs\nSbNmzbC2tsbFxcXgn8VQ5430vv/0zglGkyMtzblMQkKC8PDwEL179xadO3cWf/zxhxBC8+Tr2rVr\nhRCapwi7desm6tevL+bMmWPKcIUQmocVXjyEdf/+fVGuXDkhhBDx8fGib9++olevXqJGjRrit99+\nM1mM+vbZ5s2bxdtvvy2EEOLnn38WHTt2FK6ursLd3V3ExcWZJM6UlBTh6ekpunXrJlxcXMTOnTuF\nELn7+8/PPvroI/G///1P1KtXTwQHBwshdP9uAgMDRZcuXUS7du3E6NGjs1RHRESE6N+/v+jcubNo\n166d9ql2JycncfXqVe12Fy9ezNZT0D4+PsLNzU00btxYfP/99zqf5f79+8Lc3FzUqFFDODk5CScn\nJ/HVV19lqR59++zVv99Zs2aJ7t27iy5duoilS5dmqQ59+/3Vc88L8fHx2XoKOr3v3xDnjfS+/7TO\nCcZWoKcjjI2NpUiRImmuT0xMRAhhsrkiMyMmJobChQtn6ZaWIWVknz179gxbW9scjCrtOAoXLoyZ\nmZne9Xnp+8/r4uLi0nzOITPbGKKe7EpOTkYIkaUHrDIjvc+SkJCAubl5mn/fhqrHEDJShyHOG+nV\nk945wdAKdAKWJEmSJFMpkG3AkiRJkmRqMgFLkiRJkgnIBCxJkiRJJiATsCRJkiSZgEzAkiRJkmQC\nMgFLkiRJkgnIBCxJkiRJJiATsCRJkiSZgEzAkiRJkmQCMgFLkiRJkgnIBCxJkiRJJiATsCRJkiSZ\ngEzAkiRJkmQCMgFLkiRJkgmYmzoA6fUePHhAbGyszrJKlSrx5MkTChcunOV5OoUQ/PPPP1SoUCFL\n74+MjMTGxgYrK6ssvV+SCrr4+HiePn1K6dKlTR2KZCLyCjiXGzVqFAMGDGD06NHaf48ePWLZsmUE\nBgYSERHB1KlTATh8+DAbN27MULkxMTF069Yty3FNmTKFY8eOZfn9klTQHT16FC8vL1OHIZmQTMB5\nwPz589m9e7f2X5kyZRgzZgxNmjTh7NmzBAYG8s8///DHH39w6dIlnj17Bmh+YV+5ckWnrISEBAID\nA4mJiUlVT3h4uPa9ADdv3iQlJYXk5GTOnTvHyZMniYuL03nPkydPePjwIQBqtZqbN29q1+mr/86d\nOxw9epTHjx9nb6dIUj7232MnrWMTIDQ0lOfPn2vX3b9/n6ioKM6dO4cQgpiYGE6cOEFwcDBCCO12\nYWFhhIeHExUVxZMnT7TL/1ueZDzyFnQe8OTJEyIjIwGwsrLCxsaGTz/9lJ49e3L8+HHu3r1LYGAg\nZ86cQQjB3bt3OXv2LFu2bMHR0ZHQ0FB++eUXnj59SqdOnXB1deWvv/5KVc/evXu5ePEiCxcu5MmT\nJ/Tq1Ytz587h6upK06ZNdQ7kF3bu3MnVq1eZO3cusbGx9OrVi5CQEHx9fVPVf+TIEebOnYubmxsf\nfPAB/v7+VK9ePcf2oyTlBfqOHX3HZlBQEL1798bR0ZHr16/Tv39/hgwZwqxZs7hw4QIlSpRg7ty5\nDB8+nDfeeINTp05RvXp1Vq1axbx58zhw4AA1a9YkKCiIcePG0b9/fzw8PFKVJxmPTMB5wKxZsyhW\nrBgAPXr04OOPP9au8/Dw4MKFC/Tp04c7d+4ghKB27doMHz4cX19fbG1tWblyJbt37+bSpUu8/fbb\nTJ06laNHjzJmzBidet58800WLFjA/Pnz2bp1KwMGDCA2NpapU6fStWtXbty4QceOHTN09bpy5cpU\n9f/999/UqFGDIUOGMHjwYOzt7Q27oyQpH9B37Og7Nvfs2UOtWrWYMmUKycnJeHh4aBPmkCFDGDly\nJKGhoaxbtw4XFxeOHj3Khx9+SGJiIl999RX379/H3Nwcd3d3gNeWJxmHTMB5wJdffknHjh0zvP2z\nZ8+4dOkSM2bM0C6rUqUKYWFh9OzZE4CGDRumel/hwoVp1aoVhw8fxtfXFx8fHywsLPDx8WHRokW4\nuLgghNDe+vovtVr92vrHjh3L0qVLeeutt0hJSWHjxo0UL148w59LkvK7tI4dfcfmV199xalTpxg/\nfjwADg4O2tvUVapU0b5/0qRJWFhY4OLiQkpKCpGRkTg4OGBurjn9u7i4AHDs2DG95dna2ubERy+Q\nZBtwHmdmZqZNiC/+39bWlrp167Jo0SI2bdpEjx49cHBwoF69ehw5cgSAwMBAveUNGzaMpUuXUqhQ\nISpVqsTevXtRFIWDBw/y2WefERsbq5OAra2tefDgAQAhISEAada/Y8cO2rZty+nTpxk0aBCbN282\n5q6RpDwnrWMHUh+bnTp1wtnZmU2bNrFmzRrKlStHkSJFAFCpNKf2VatW0b9/f37//Xd69+5NSkoK\n5cuXJyUlhYiICJKTk9m/fz/Aa8uTjENeAedxlSpVIiQkhHnz5tG+fXs8PT2pVasWs2fPZvjw4Vhb\nWxMfH8/WrVtp2bIlffr0oWvXrjg5OaEoSqryWrVqRWhoKLNmzQKgffv2zJ8/H09PTxISEqhevTp3\n797Vbu/q6sqcOXPo3r07pUqV0nZL0lf/P//8w/DhwyldujR37txhw4YNObOTJCmX2rt3L7Vr19a+\n9vf313vsQOpjs1OnTmzfvh13d3diYmIYOnSoNvG+0LdvXyZNmkRAQACWlpYkJyeTnJzMypUref/9\n97G0tKRIkSJYW1tnqDzJsBTx6mNxUp6kVqtJSUnBwsKCpKQkzMzMtAfO8+fPKVy4sM72cXFxme4/\n/OTJE4oWLZrp9frqf/r0KXZ2dpmqX5IKGn3Hjj7x8fEUKlRI7w9q0Jwfnj9/jo2NjXbZmjVrGDly\nJIqi8Oabb/LJJ5/QuHHjDJUnGY68As4HVCqVNuFaWFjorNN3AGdl8I7XJd/XrddXv0y+kpS+jCRf\nIN3BcFQqlU7yBU2S7datG0IIHBwcdJ4JkYPr5Bx5BSxJklQApaSkkJKSgqWlpalDKbBkApYkSZIk\nE5At7JIkSZJkAjIBS5IkSZIJyAQsSZIkSSYgE7AkSZIkmYBMwJIkSZJkAjIBS5IkSZIJyAQsSZIk\nSSYgE7AkSZIkmYBMwJIkSZJkAjIBS5IkSZIJyAQsSZIkSSbwf/WrCZmGNOguAAAAAElFTkSuQmCC\n"
199 }
392 }
200 ],
393 ],
201 "prompt_number": 5
394 "prompt_number": 11
202 },
395 },
203 {
396 {
204 "cell_type": "markdown",
397 "cell_type": "markdown",
@@ -213,20 +406,20 b''
213 "cell_type": "code",
406 "cell_type": "code",
214 "collapsed": true,
407 "collapsed": true,
215 "input": [
408 "input": [
216 "X = np.random.standard_normal((100,10))",
409 "Xrandom = np.random.standard_normal((100,10))",
217 "Y = np.random.standard_normal((100,1))"
410 "Yrandom = np.random.standard_normal((100,1))"
218 ],
411 ],
219 "language": "python",
412 "language": "python",
220 "outputs": [],
413 "outputs": [],
221 "prompt_number": 6
414 "prompt_number": 12
222 },
415 },
223 {
416 {
224 "cell_type": "code",
417 "cell_type": "code",
225 "collapsed": false,
418 "collapsed": false,
226 "input": [
419 "input": [
227 "%%R -i X,Y -o larscoef",
420 "%%R -i Xrandom,Yrandom -o larscoef",
228 "library(lars)",
421 "library(lars)",
229 "larsobj = lars(X, Y)",
422 "larsobj = lars(Xrandom, Yrandom)",
230 "plot(larsobj)",
423 "plot(larsobj)",
231 "larscoef = coef(larsobj)",
424 "larscoef = coef(larsobj)",
232 "larspred = predict(larsobj, s=seq(0,1,length=101), mode='fraction')",
425 "larspred = predict(larsobj, s=seq(0,1,length=101), mode='fraction')",
@@ -248,10 +441,10 b''
248 },
441 },
249 {
442 {
250 "output_type": "display_data",
443 "output_type": "display_data",
251 "png": 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IoIQQ92QTpSgB5syZQ3x8PLdu3TI6FCGKjABgGXDm9rYH8Cl6sQxJvkLYNpu4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\nMHToUGRnZ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444 "png": 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ttdeKTivY29sTGhrK6dOnq2ybaWlptGrVirlz5/Lee++xZcsWDh8+zKJFi6psm6J6BQYG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\nAAAAAElFTkSuQmCC\n"
252 }
445 }
253 ],
446 ],
254 "prompt_number": 7
447 "prompt_number": 13
255 },
448 },
256 {
449 {
257 "cell_type": "code",
450 "cell_type": "code",
@@ -263,13 +456,13 b''
263 "outputs": [
456 "outputs": [
264 {
457 {
265 "output_type": "pyout",
458 "output_type": "pyout",
266 "prompt_number": 8,
459 "prompt_number": 14,
267 "text": [
460 "text": [
268 "(11, 10)"
461 "(11, 10)"
269 ]
462 ]
270 }
463 }
271 ],
464 ],
272 "prompt_number": 8
465 "prompt_number": 14
273 },
466 },
274 {
467 {
275 "cell_type": "heading",
468 "cell_type": "heading",
@@ -289,10 +482,10 b''
289 "outputs": [
482 "outputs": [
290 {
483 {
291 "output_type": "display_data",
484 "output_type": "display_data",
292 "png": 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SkZGBjIwM7vXx48cn9T7TFmgODw/Hjh07Hhpo/uyzz3D+/Hl89NFHowLND7sW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\nAAAAAElFTkSuQmCC\n"
485 "png": 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4890RGxiL2IBYc+UfGxCL2MBYzPedDze+27g/e7J155RaCv7+3LYJxcXFiIiIQGFhIV5+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\nYII=\n"
293 }
486 }
294 ],
487 ],
295 "prompt_number": 9
488 "prompt_number": 15
296 },
489 },
297 {
490 {
298 "cell_type": "heading",
491 "cell_type": "heading",
@@ -306,6 +499,8 b''
306 "source": [
499 "source": [
307 "Currently, data is passed through RMagics.pyconverter when going from python to R and RMagics.Rconverter when ",
500 "Currently, data is passed through RMagics.pyconverter when going from python to R and RMagics.Rconverter when ",
308 "going from R to python. These currently default to numpy.ndarray. Future work will involve writing better converters, most likely involving integration with http://pandas.sourceforge.net.",
501 "going from R to python. These currently default to numpy.ndarray. Future work will involve writing better converters, most likely involving integration with http://pandas.sourceforge.net.",
502 "",
503 "Passing ndarrays into R seems to require a copy, though once an object is returned to python, this object is NOT copied, and it is possible to change its values.",
309 ""
504 ""
310 ]
505 ]
311 },
506 },
@@ -313,11 +508,144 b''
313 "cell_type": "code",
508 "cell_type": "code",
314 "collapsed": true,
509 "collapsed": true,
315 "input": [
510 "input": [
511 "seq1 = np.arange(10)"
512 ],
513 "language": "python",
514 "outputs": [],
515 "prompt_number": 16
516 },
517 {
518 "cell_type": "code",
519 "collapsed": false,
520 "input": [
521 "%%R -i seq1 -o seq2",
522 "seq2 = rep(seq1, 2)",
523 "print(seq2)"
524 ],
525 "language": "python",
526 "outputs": [
527 {
528 "output_type": "display_data",
529 "text": [
530 " [1] 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9",
531 ""
532 ]
533 }
534 ],
535 "prompt_number": 17
536 },
537 {
538 "cell_type": "code",
539 "collapsed": false,
540 "input": [
541 "seq2[::2] = 0",
542 "seq2"
543 ],
544 "language": "python",
545 "outputs": [
546 {
547 "output_type": "pyout",
548 "prompt_number": 18,
549 "text": [
550 "array([0, 1, 0, 3, 0, 5, 0, 7, 0, 9, 0, 1, 0, 3, 0, 5, 0, 7, 0, 9], dtype=int32)"
551 ]
552 }
553 ],
554 "prompt_number": 18
555 },
556 {
557 "cell_type": "code",
558 "collapsed": false,
559 "input": [
560 "%%R",
561 "print(seq2)"
562 ],
563 "language": "python",
564 "outputs": [
565 {
566 "output_type": "display_data",
567 "text": [
568 " [1] 0 1 0 3 0 5 0 7 0 9 0 1 0 3 0 5 0 7 0 9",
569 ""
570 ]
571 }
572 ],
573 "prompt_number": 19
574 },
575 {
576 "cell_type": "markdown",
577 "source": [
578 "Once the array data has been passed to R, modifring its contents does not modify R's copy of the data."
579 ]
580 },
581 {
582 "cell_type": "code",
583 "collapsed": false,
584 "input": [
585 "seq1[0] = 200",
586 "%R print(seq1)"
587 ],
588 "language": "python",
589 "outputs": [
590 {
591 "output_type": "display_data",
592 "text": [
593 " [1] 0 1 2 3 4 5 6 7 8 9",
594 ""
595 ]
596 }
597 ],
598 "prompt_number": 20
599 },
600 {
601 "cell_type": "markdown",
602 "source": [
603 "But, if we pass data as both input and output, then the value of \"data\" in user_ns will be overwritten and the",
604 "new array will be a view of the data in R's copy."
605 ]
606 },
607 {
608 "cell_type": "code",
609 "collapsed": false,
610 "input": [
611 "print seq1",
612 "%R -i seq1 -o seq1",
613 "print seq1",
614 "seq1[0] = 200",
615 "%R print(seq1)",
616 "seq1_view = %R seq1",
617 "assert(id(seq1_view.data) == id(seq1.data))"
618 ],
619 "language": "python",
620 "outputs": [
621 {
622 "output_type": "stream",
623 "stream": "stdout",
624 "text": [
625 "[200 1 2 3 4 5 6 7 8 9]",
626 "[200 1 2 3 4 5 6 7 8 9]",
627 ""
628 ]
629 },
630 {
631 "output_type": "display_data",
632 "text": [
633 " [1] 200 1 2 3 4 5 6 7 8 9",
634 ""
635 ]
636 }
637 ],
638 "prompt_number": 21
639 },
640 {
641 "cell_type": "code",
642 "collapsed": true,
643 "input": [
316 ""
644 ""
317 ],
645 ],
318 "language": "python",
646 "language": "python",
319 "outputs": [],
647 "outputs": [],
320 "prompt_number": 9
648 "prompt_number": 21
321 },
649 },
322 {
650 {
323 "cell_type": "code",
651 "cell_type": "code",
@@ -326,7 +654,8 b''
326 ""
654 ""
327 ],
655 ],
328 "language": "python",
656 "language": "python",
329 "outputs": []
657 "outputs": [],
658 "prompt_number": 21
330 }
659 }
331 ]
660 ]
332 }
661 }
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