SF.net SVN: matplotlib: [4024] trunk/py4science

[<jd...@us...>]

Revision: 4024
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4024&view=rev
Author:   jdh2358
Date:     2007-10-26 12:48:03 -0700 (Fri, 26 Oct 2007)

Log Message:
-----------
updates to workbook

Modified Paths:
--------------
    trunk/py4science/doc/linkfest
    trunk/py4science/examples/convolution_demo.py
    trunk/py4science/examples/fft_imdenoise.py
    trunk/py4science/examples/stock_records.py
    trunk/py4science/workbook/main.tex

Added Paths:
-----------
    trunk/py4science/workbook/fft_imdenoise.tex
    trunk/py4science/workbook/fig/fft_imdenoise.eps
    trunk/py4science/workbook/fig/fft_imdenoise.png

Modified: trunk/py4science/doc/linkfest
===================================================================
--- trunk/py4science/doc/linkfest	2007-10-26 19:46:12 UTC (rev 4023)
+++ trunk/py4science/doc/linkfest	2007-10-26 19:48:03 UTC (rev 4024)
@@ -62,9 +62,9 @@
 
     ipython:    svn co http://ipython.scipy.org/svn/ipython/ipython/trunk ipython
 
-    matplotlib: svn co https://svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib matplotlib 
+    matplotlib:  svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib 
 
-    py4science: svn co https://svn.sourceforge.net/svnroot/matplotlib/trunk/py4science py4science
+    py4science: svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/py4science
 
     
     Important commands:

Modified: trunk/py4science/examples/convolution_demo.py
===================================================================
--- trunk/py4science/examples/convolution_demo.py	2007-10-26 19:46:12 UTC (rev 4023)
+++ trunk/py4science/examples/convolution_demo.py	2007-10-26 19:48:03 UTC (rev 4024)
@@ -71,4 +71,6 @@
 ax2.plot(t, yi, label='fft')
 ax2.legend(loc='best')
 
+fig.savefig('convolution_demo.png', dpi=150)
+fig.savefig('convolution_demo.eps')
 show()

Modified: trunk/py4science/examples/fft_imdenoise.py
===================================================================
--- trunk/py4science/examples/fft_imdenoise.py	2007-10-26 19:46:12 UTC (rev 4023)
+++ trunk/py4science/examples/fft_imdenoise.py	2007-10-26 19:48:03 UTC (rev 4024)
@@ -73,4 +73,6 @@
 P.title('Reconstructed Image')
 P.imshow(im_new, P.cm.gray)
 
+P.savefig('fft_imdenoise.png', dpi=150)
+P.savefig('fft_imdenoise.eps')
 P.show()

Modified: trunk/py4science/examples/stock_records.py
===================================================================
--- trunk/py4science/examples/stock_records.py	2007-10-26 19:46:12 UTC (rev 4023)
+++ trunk/py4science/examples/stock_records.py	2007-10-26 19:48:03 UTC (rev 4024)
@@ -37,7 +37,7 @@
     r.sort()
     return r
 
-tickers = 'INTC', 'MSFT', 'YHOO', 'GOOG', 'GE', 'WMT', 'AAPL'
+tickers = 'SPY', 'QQQQ', 'INTC', 'MSFT', 'YHOO', 'GOOG', 'GE', 'WMT', 'AAPL'
 
 # we want to compute returns since 2003, so define the start date
 startdate = datetime.datetime(2003,1,1)

Added: trunk/py4science/workbook/fft_imdenoise.tex
===================================================================
--- trunk/py4science/workbook/fft_imdenoise.tex	                        (rev 0)
+++ trunk/py4science/workbook/fft_imdenoise.tex	2007-10-26 19:48:03 UTC (rev 4024)
@@ -0,0 +1,47 @@
+Convolution of an input with with a linear filter in the termporal or
+spatial domain is equivalent to multiplication by the fourier
+transforms of the input and the filter in the spectral domain.  This
+provides a conceptually simple way to think about filtering: transform
+your signal into the frequency domain, dampen the frequencies you are
+not interested in by multiplying the frequency spectrum by the desired
+weights, and then inverse transform the multiplies spectrum back into
+the original domain.  In the example below, we will simply set the
+weights of the frequencies we are uninterested in (the high frequency
+noise) to zero rather than dampening them with a smoothly varying
+function.  Although this is not usually the best thing to do, since
+sharp edges in one domain usually introduce artifacts in another (eg
+high frequency ``ringing''), it is easy to do and sometimes provides
+satisfactory results.
+
+The image in the upper left panel of Figure~\ref{fig:fft_imdenoise} is
+a grayscale photo of the moon landing.  There is a banded pattern of
+high frequency noise polluting the image.  In the upper right panel we
+see the 2D spatial frequency spectrum.  The FFT output in
+\texttt{scipy} is packed with the lower freqeuencies starting in the
+upper left, and proceeding to higher frequencies as one moves to the
+center of the spectrum (this is the most efficient way numerically to
+fill the output of the FFT algorithm).  Because the input signal is
+real, the output spectrum is complex and symmetrical: the
+transformation values beyond the midpoint of the frequency spectrum
+(the Nyquist frequency) correspond to the values for negative
+frequencies and are simply the mirror image of the positive
+frequencies below the Nyquist (this is true for the 1D, 2D and ND FFTs
+in \texttt{numpy}).
+
+In this exercise we will compute the 2D spatial frequency spectra of
+the luminance image, zero out the high frequency components, and
+inverse transform back into the time domain.  We can plot the input
+and output images with the \texttt{pylab.imshow} function, but the
+images must first be scaled to be withing the 0..1 luminance range.
+For best results, it helps to \textit{amplify} the image by some scale
+factor, and then \textit{clip} it to set all values greater than one
+to one.  This serves to enhance contrast among the darker elements of
+the image, so it is not completely dominated by the brighter segments
+
+\lstinputlisting[label=code:fft_imdenoise_skel,caption={IGNORED}]{skel/fft_imdenoise_skel.py}
+
+\begin{figure}
+\begin{centering}\includegraphics[width=3in]{fig/fft_imdenoise}\par\end{centering}
+
+\caption{\label{fig:fft_imdenoise}High freqeuency noise filtering of a 2D image in the Fourier domain.  The upper panels show the original image (left) and spectral power (right) and the lower panels show the same data with the high frequency power set to zero.  Although the input and output images are grayscale, you can provide colormaps to \texttt{pylab.imshow} to plot them in psudo-color}
+\end{figure}

Added: trunk/py4science/workbook/fig/fft_imdenoise.eps
===================================================================
--- trunk/py4science/workbook/fig/fft_imdenoise.eps	                        (rev 0)
+++ trunk/py4science/workbook/fig/fft_imdenoise.eps	2007-10-26 19:48:03 UTC (rev 4024)
@@ -0,0 +1,9710 @@
+%!PS-Adobe-3.0 EPSF-3.0
+%%Title: fft_imdenoise.eps
+%%Creator: matplotlib version 0.90.1, http://matplotlib.sourceforge.net/
+%%CreationDate: Fri Oct 26 13:30:19 2007
+%%Orientation: portrait
+%%BoundingBox: 11 173 600 618
+%%EndComments
+%%BeginProlog
+/mpldict 7 dict def
+mpldict begin
+/m { moveto } bind def
+/l { lineto } bind def
+/r { rlineto } bind def
+/box {
+m
+1 index 0 r
+0 exch r
+neg 0 r
+closepath
+} bind def
+/clipbox {
+box
+clip
+newpath
+} bind def
+/ellipse {
+newpath
+matrix currentmatrix 7 1 roll
+translate
+scale
+0 0 1 5 3 roll arc
+setmatrix
+closepath
+} bind def
+%!PS-Adobe-3.0 Resource-Font
+%%Title: Bitstream Vera Sans
+%%Copyright: Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved.
+%%Creator: Converted from TrueType by PPR
+25 dict begin
+/_d{bind def}bind def
+/_m{moveto}_d
+/_l{lineto}_d
+/_cl{closepath eofill}_d
+/_c{curveto}_d
+/_sc{7 -1 roll{setcachedevice}{pop pop pop pop pop pop}ifelse}_d
+/_e{exec}_d
+/FontName /BitstreamVeraSans-Roman def
+/PaintType 0 def
+/FontMatrix[.001 0 0 .001 0 0]def
+/FontBBox[-182 -235 1287 928]def
+/FontType 3 def
+/Encoding StandardEncoding def
+/FontInfo 10 dict dup begin
+/FamilyName (Bitstream Vera Sans) def
+/FullName (Bitstream Vera Sans) def
+/Notice (Copyright (c) 2003 by Bitstream, Inc. All Rights Reserved. Bitstream Vera is a trademark of Bitstream, Inc.) def
+/Weight (Roman) def
+/Version (Release 1.10) def
+/ItalicAngle 0.0 def
+/isFixedPitch false def
+/UnderlinePosition -213 def
+/UnderlineThickness 143 def
+end readonly def
+/CharStrings 29 dict dup begin
+/space{318 0 0 0 0 0 _sc
+}_d
+/zero{636 0 66 -13 570 742 _sc
+318 664 _m
+267 664 229 639 203 589 _c
+177 539 165 464 165 364 _c
+165 264 177 189 203 139 _c
+229 89 267 64 318 64 _c
+369 64 407 89 433 139 _c
+458 189 471 264 471 364 _c
+471 464 458 539 433 589 _c
+407 639 369 664 318 664 _c
+318 742 _m
+399 742 461 709 505 645 _c
+548 580 570 486 570 364 _c
+570 241 548 147 505 83 _c
+461 19 399 -13 318 -13 _c
+236 -13 173 19 130 83 _c
+87 147 66 241 66 364 _c
+66 486 87 580 130 645 _c
+173 709 236 742 318 742 _c
+_cl}_d
+/one{636 0 110 0 544 729 _sc
+124 83 _m
+285 83 _l
+285 639 _l
+110 604 _l
+110 694 _l
+284 729 _l
+383 729 _l
+383 83 _l
+544 83 _l
+544 0 _l
+124 0 _l
+124 83 _l
+_cl}_d
+/two{{636 0 73 0 536 742 _sc
+192 83 _m
+536 83 _l
+536 0 _l
+73 0 _l
+73 83 _l
+110 121 161 173 226 239 _c
+290 304 331 346 348 365 _c
+380 400 402 430 414 455 _c
+426 479 433 504 433 528 _c
+433 566 419 598 392 622 _c
+365 646 330 659 286 659 _c
+255 659 222 653 188 643 _c
+154 632 117 616 78 594 _c
+78 694 _l
+118 710 155 722 189 730 _c
+223 738 255 742 284 742 _c
+359 742 419 723 464 685 _c
+509 647 532 597 532 534 _c
+532 504 526 475 515 449 _c
+504 422 484 390 454 354 _c
+446 344 420 317 376 272 _c
+332 227 271 164 192 83 _c
+_cl}_e}_d
+/three{{636 0 76 -13 556 742 _sc
+406 393 _m
+453 383 490 362 516 330 _c
+542 298 556 258 556 212 _c
+556 140 531 84 482 45 _c
+432 6 362 -13 271 -13 _c
+240 -13 208 -10 176 -4 _c
+144 1 110 10 76 22 _c
+76 117 _l
+103 101 133 89 166 81 _c
+198 73 232 69 268 69 _c
+330 69 377 81 409 105 _c
+441 129 458 165 458 212 _c
+458 254 443 288 413 312 _c
+383 336 341 349 287 349 _c
+202 349 _l
+202 430 _l
+291 430 _l
+339 430 376 439 402 459 _c
+428 478 441 506 441 543 _c
+441 580 427 609 401 629 _c
+374 649 336 659 287 659 _c
+260 659 231 656 200 650 _c
+169 644 135 635 98 623 _c
+98 711 _l
+135 721 170 729 203 734 _c
+235 739 266 742 296 742 _c
+}_e{370 742 429 725 473 691 _c
+517 657 539 611 539 553 _c
+539 513 527 479 504 451 _c
+481 423 448 403 406 393 _c
+_cl}_e}_d
+/four{636 0 49 0 580 729 _sc
+378 643 _m
+129 254 _l
+378 254 _l
+378 643 _l
+352 729 _m
+476 729 _l
+476 254 _l
+580 254 _l
+580 172 _l
+476 172 _l
+476 0 _l
+378 0 _l
+378 172 _l
+49 172 _l
+49 267 _l
+352 729 _l
+_cl}_d
+/five{{636 0 77 -13 549 729 _sc
+108 729 _m
+495 729 _l
+495 646 _l
+198 646 _l
+198 467 _l
+212 472 227 476 241 478 _c
+255 480 270 482 284 482 _c
+365 482 429 459 477 415 _c
+525 370 549 310 549 234 _c
+549 155 524 94 475 51 _c
+426 8 357 -13 269 -13 _c
+238 -13 207 -10 175 -6 _c
+143 -1 111 6 77 17 _c
+77 116 _l
+106 100 136 88 168 80 _c
+199 72 232 69 267 69 _c
+323 69 368 83 401 113 _c
+433 143 450 183 450 234 _c
+450 284 433 324 401 354 _c
+368 384 323 399 267 399 _c
+241 399 214 396 188 390 _c
+162 384 135 375 108 363 _c
+108 729 _l
+_cl}_e}_d
+/six{{636 0 70 -13 573 742 _sc
+330 404 _m
+286 404 251 388 225 358 _c
+199 328 186 286 186 234 _c
+186 181 199 139 225 109 _c
+251 79 286 64 330 64 _c
+374 64 409 79 435 109 _c
+461 139 474 181 474 234 _c
+474 286 461 328 435 358 _c
+409 388 374 404 330 404 _c
+526 713 _m
+526 623 _l
+501 635 476 644 451 650 _c
+425 656 400 659 376 659 _c
+310 659 260 637 226 593 _c
+192 549 172 482 168 394 _c
+187 422 211 444 240 459 _c
+269 474 301 482 336 482 _c
+409 482 467 459 509 415 _c
+551 371 573 310 573 234 _c
+573 159 550 99 506 54 _c
+462 9 403 -13 330 -13 _c
+246 -13 181 19 137 83 _c
+92 147 70 241 70 364 _c
+70 479 97 571 152 639 _c
+206 707 280 742 372 742 _c
+}_e{396 742 421 739 447 735 _c
+472 730 498 723 526 713 _c
+_cl}_e}_d
+/F{575 0 98 0 517 729 _sc
+98 729 _m
+517 729 _l
+517 646 _l
+197 646 _l
+197 431 _l
+486 431 _l
+486 348 _l
+197 348 _l
+197 0 _l
+98 0 _l
+98 729 _l
+_cl}_d
+/I{295 0 98 0 197 729 _sc
+98 729 _m
+197 729 _l
+197 0 _l
+98 0 _l
+98 729 _l
+_cl}_d
+/O{787 0 56 -13 731 742 _sc
+394 662 _m
+322 662 265 635 223 582 _c
+181 528 160 456 160 364 _c
+160 272 181 199 223 146 _c
+265 92 322 66 394 66 _c
+465 66 522 92 564 146 _c
+606 199 627 272 627 364 _c
+627 456 606 528 564 582 _c
+522 635 465 662 394 662 _c
+394 742 _m
+496 742 577 707 639 639 _c
+700 571 731 479 731 364 _c
+731 248 700 157 639 89 _c
+577 21 496 -13 394 -13 _c
+291 -13 209 21 148 89 _c
+86 157 56 248 56 364 _c
+56 479 86 571 148 639 _c
+209 707 291 742 394 742 _c
+_cl}_d
+/R{{695 0 98 0 666 729 _sc
+444 342 _m
+465 334 486 319 506 296 _c
+526 272 546 240 566 199 _c
+666 0 _l
+560 0 _l
+467 187 _l
+443 235 419 268 397 284 _c
+374 300 343 308 304 308 _c
+197 308 _l
+197 0 _l
+98 0 _l
+98 729 _l
+321 729 _l
+404 729 466 711 507 677 _c
+548 642 569 589 569 519 _c
+569 473 558 434 537 404 _c
+515 374 484 353 444 342 _c
+197 648 _m
+197 389 _l
+321 389 _l
+368 389 404 400 428 422 _c
+452 444 465 476 465 519 _c
+465 561 452 593 428 615 _c
+404 637 368 648 321 648 _c
+197 648 _l
+_cl}_e}_d
+/S{{635 0 66 -13 579 742 _sc
+535 705 _m
+535 609 _l
+497 627 462 640 429 649 _c
+395 657 363 662 333 662 _c
+279 662 237 651 208 631 _c
+179 610 165 580 165 542 _c
+165 510 174 485 194 469 _c
+213 452 250 439 304 429 _c
+364 417 _l
+437 403 491 378 526 343 _c
+561 307 579 260 579 201 _c
+579 130 555 77 508 41 _c
+460 5 391 -13 300 -13 _c
+265 -13 228 -9 189 -2 _c
+150 5 110 16 69 32 _c
+69 134 _l
+109 111 148 94 186 83 _c
+224 71 262 66 300 66 _c
+356 66 399 77 430 99 _c
+460 121 476 152 476 194 _c
+476 230 465 258 443 278 _c
+421 298 385 313 335 323 _c
+275 335 _l
+201 349 148 372 115 404 _c
+82 435 66 478 66 534 _c
+66 598 88 649 134 686 _c
+179 723 242 742 322 742 _c
+}_e{356 742 390 739 426 733 _c
+461 727 497 717 535 705 _c
+_cl}_e}_d
+/a{{613 0 60 -13 522 560 _sc
+343 275 _m
+270 275 220 266 192 250 _c
+164 233 150 205 150 165 _c
+150 133 160 107 181 89 _c
+202 70 231 61 267 61 _c
+317 61 357 78 387 114 _c
+417 149 432 196 432 255 _c
+432 275 _l
+343 275 _l
+522 312 _m
+522 0 _l
+432 0 _l
+432 83 _l
+411 49 385 25 355 10 _c
+325 -5 287 -13 243 -13 _c
+187 -13 142 2 109 33 _c
+76 64 60 106 60 159 _c
+60 220 80 266 122 298 _c
+163 329 224 345 306 345 _c
+432 345 _l
+432 354 _l
+432 395 418 427 391 450 _c
+364 472 326 484 277 484 _c
+245 484 215 480 185 472 _c
+155 464 127 453 100 439 _c
+100 522 _l
+}_e{132 534 164 544 195 550 _c
+226 556 256 560 286 560 _c
+365 560 424 539 463 498 _c
+502 457 522 395 522 312 _c
+_cl}_e}_d
+/c{{550 0 55 -13 488 560 _sc
+488 526 _m
+488 442 _l
+462 456 437 466 411 473 _c
+385 480 360 484 334 484 _c
+276 484 230 465 198 428 _c
+166 391 150 339 150 273 _c
+150 206 166 154 198 117 _c
+230 80 276 62 334 62 _c
+360 62 385 65 411 72 _c
+437 79 462 90 488 104 _c
+488 21 _l
+462 9 436 0 410 -5 _c
+383 -10 354 -13 324 -13 _c
+242 -13 176 12 128 64 _c
+79 115 55 185 55 273 _c
+55 362 79 432 128 483 _c
+177 534 244 560 330 560 _c
+358 560 385 557 411 551 _c
+437 545 463 537 488 526 _c
+_cl}_e}_d
+/d{{635 0 55 -13 544 760 _sc
+454 464 _m
+454 760 _l
+544 760 _l
+544 0 _l
+454 0 _l
+454 82 _l
+435 49 411 25 382 10 _c
+353 -5 319 -13 279 -13 _c
+213 -13 159 13 117 65 _c
+75 117 55 187 55 273 _c
+55 359 75 428 117 481 _c
+159 533 213 560 279 560 _c
+319 560 353 552 382 536 _c
+411 520 435 496 454 464 _c
+148 273 _m
+148 207 161 155 188 117 _c
+215 79 253 61 301 61 _c
+348 61 385 79 413 117 _c
+440 155 454 207 454 273 _c
+454 339 440 390 413 428 _c
+385 466 348 485 301 485 _c
+253 485 215 466 188 428 _c
+161 390 148 339 148 273 _c
+_cl}_e}_d
+/e{{615 0 55 -13 562 560 _sc
+562 296 _m
+562 252 _l
+149 252 _l
+153 190 171 142 205 110 _c
+238 78 284 62 344 62 _c
+378 62 412 66 444 74 _c
+476 82 509 95 541 113 _c
+541 28 _l
+509 14 476 3 442 -3 _c
+408 -9 373 -13 339 -13 _c
+251 -13 182 12 131 62 _c
+80 112 55 181 55 268 _c
+55 357 79 428 127 481 _c
+175 533 241 560 323 560 _c
+397 560 455 536 498 489 _c
+540 441 562 377 562 296 _c
+472 322 _m
+471 371 457 410 431 440 _c
+404 469 368 484 324 484 _c
+274 484 234 469 204 441 _c
+174 413 156 373 152 322 _c
+472 322 _l
+_cl}_e}_d
+/f{352 0 23 0 371 760 _sc
+371 760 _m
+371 685 _l
+285 685 _l
+253 685 230 678 218 665 _c
+205 652 199 629 199 595 _c
+199 547 _l
+347 547 _l
+347 477 _l
+199 477 _l
+199 0 _l
+109 0 _l
+109 477 _l
+23 477 _l
+23 547 _l
+109 547 _l
+109 585 _l
+109 645 123 690 151 718 _c
+179 746 224 760 286 760 _c
+371 760 _l
+_cl}_d
+/g{{635 0 55 -207 544 560 _sc
+454 280 _m
+454 344 440 395 414 431 _c
+387 467 349 485 301 485 _c
+253 485 215 467 188 431 _c
+161 395 148 344 148 280 _c
+148 215 161 165 188 129 _c
+215 93 253 75 301 75 _c
+349 75 387 93 414 129 _c
+440 165 454 215 454 280 _c
+544 68 _m
+544 -24 523 -93 482 -139 _c
+440 -184 377 -207 292 -207 _c
+260 -207 231 -204 203 -200 _c
+175 -195 147 -188 121 -178 _c
+121 -91 _l
+147 -105 173 -115 199 -122 _c
+225 -129 251 -133 278 -133 _c
+336 -133 380 -117 410 -87 _c
+439 -56 454 -10 454 52 _c
+454 96 _l
+435 64 411 40 382 24 _c
+353 8 319 0 279 0 _c
+211 0 157 25 116 76 _c
+75 127 55 195 55 280 _c
+55 364 75 432 116 483 _c
+157 534 211 560 279 560 _c
+}_e{319 560 353 552 382 536 _c
+411 520 435 496 454 464 _c
+454 547 _l
+544 547 _l
+544 68 _l
+_cl}_e}_d
+/i{278 0 94 0 184 760 _sc
+94 547 _m
+184 547 _l
+184 0 _l
+94 0 _l
+94 547 _l
+94 760 _m
+184 760 _l
+184 646 _l
+94 646 _l
+94 760 _l
+_cl}_d
+/l{278 0 94 0 184 760 _sc
+94 760 _m
+184 760 _l
+184 0 _l
+94 0 _l
+94 760 _l
+_cl}_d
+/m{{974 0 91 0 889 560 _sc
+520 442 _m
+542 482 569 511 600 531 _c
+631 550 668 560 711 560 _c
+767 560 811 540 842 500 _c
+873 460 889 403 889 330 _c
+889 0 _l
+799 0 _l
+799 327 _l
+799 379 789 418 771 444 _c
+752 469 724 482 686 482 _c
+639 482 602 466 575 435 _c
+548 404 535 362 535 309 _c
+535 0 _l
+445 0 _l
+445 327 _l
+445 379 435 418 417 444 _c
+398 469 369 482 331 482 _c
+285 482 248 466 221 435 _c
+194 404 181 362 181 309 _c
+181 0 _l
+91 0 _l
+91 547 _l
+181 547 _l
+181 462 _l
+201 495 226 520 255 536 _c
+283 552 317 560 357 560 _c
+397 560 430 550 458 530 _c
+486 510 506 480 520 442 _c
+}_e{_cl}_e}_d
+/n{634 0 91 0 549 560 _sc
+549 330 _m
+549 0 _l
+459 0 _l
+459 327 _l
+459 379 448 417 428 443 _c
+408 469 378 482 338 482 _c
+289 482 251 466 223 435 _c
+195 404 181 362 181 309 _c
+181 0 _l
+91 0 _l
+91 547 _l
+181 547 _l
+181 462 _l
+202 494 227 519 257 535 _c
+286 551 320 560 358 560 _c
+420 560 468 540 500 501 _c
+532 462 549 405 549 330 _c
+_cl}_d
+/o{612 0 55 -13 557 560 _sc
+306 484 _m
+258 484 220 465 192 427 _c
+164 389 150 338 150 273 _c
+150 207 163 156 191 118 _c
+219 80 257 62 306 62 _c
+354 62 392 80 420 118 _c
+448 156 462 207 462 273 _c
+462 337 448 389 420 427 _c
+392 465 354 484 306 484 _c
+306 560 _m
+384 560 445 534 490 484 _c
+534 433 557 363 557 273 _c
+557 183 534 113 490 63 _c
+445 12 384 -13 306 -13 _c
+227 -13 165 12 121 63 _c
+77 113 55 183 55 273 _c
+55 363 77 433 121 484 _c
+165 534 227 560 306 560 _c
+_cl}_d
+/p{{635 0 91 -207 580 560 _sc
+181 82 _m
+181 -207 _l
+91 -207 _l
+91 547 _l
+181 547 _l
+181 464 _l
+199 496 223 520 252 536 _c
+281 552 316 560 356 560 _c
+422 560 476 533 518 481 _c
+559 428 580 359 580 273 _c
+580 187 559 117 518 65 _c
+476 13 422 -13 356 -13 _c
+316 -13 281 -5 252 10 _c
+223 25 199 49 181 82 _c
+487 273 _m
+487 339 473 390 446 428 _c
+418 466 381 485 334 485 _c
+286 485 249 466 222 428 _c
+194 390 181 339 181 273 _c
+181 207 194 155 222 117 _c
+249 79 286 61 334 61 _c
+381 61 418 79 446 117 _c
+473 155 487 207 487 273 _c
+_cl}_e}_d
+/r{411 0 91 0 411 560 _sc
+411 463 _m
+401 469 390 473 378 476 _c
+366 478 353 480 339 480 _c
+288 480 249 463 222 430 _c
+194 397 181 350 181 288 _c
+181 0 _l
+91 0 _l
+91 547 _l
+181 547 _l
+181 462 _l
+199 495 224 520 254 536 _c
+284 552 321 560 365 560 _c
+371 560 378 559 386 559 _c
+393 558 401 557 411 555 _c
+411 463 _l
+_cl}_d
+/s{{521 0 54 -13 472 560 _sc
+443 531 _m
+443 446 _l
+417 458 391 468 364 475 _c
+336 481 308 485 279 485 _c
+234 485 200 478 178 464 _c
+156 450 145 430 145 403 _c
+145 382 153 366 169 354 _c
+185 342 217 330 265 320 _c
+296 313 _l
+360 299 405 279 432 255 _c
+458 230 472 195 472 151 _c
+472 100 452 60 412 31 _c
+372 1 316 -13 246 -13 _c
+216 -13 186 -10 154 -5 _c
+122 0 89 8 54 20 _c
+54 113 _l
+87 95 120 82 152 74 _c
+184 65 216 61 248 61 _c
+290 61 323 68 346 82 _c
+368 96 380 117 380 144 _c
+380 168 371 187 355 200 _c
+339 213 303 226 247 238 _c
+216 245 _l
+160 257 119 275 95 299 _c
+70 323 58 356 58 399 _c
+58 450 76 490 112 518 _c
+148 546 200 560 268 560 _c
+}_e{301 560 332 557 362 552 _c
+391 547 418 540 443 531 _c
+_cl}_e}_d
+/t{392 0 27 0 368 702 _sc
+183 702 _m
+183 547 _l
+368 547 _l
+368 477 _l
+183 477 _l
+183 180 _l
+183 135 189 106 201 94 _c
+213 81 238 75 276 75 _c
+368 75 _l
+368 0 _l
+276 0 _l
+206 0 158 13 132 39 _c
+106 65 93 112 93 180 _c
+93 477 _l
+27 477 _l
+27 547 _l
+93 547 _l
+93 702 _l
+183 702 _l
+_cl}_d
+/u{634 0 85 -13 543 547 _sc
+85 216 _m
+85 547 _l
+175 547 _l
+175 219 _l
+175 167 185 129 205 103 _c
+225 77 255 64 296 64 _c
+344 64 383 79 411 110 _c
+439 141 453 183 453 237 _c
+453 547 _l
+543 547 _l
+543 0 _l
+453 0 _l
+453 84 _l
+431 50 405 26 377 10 _c
+348 -5 315 -13 277 -13 _c
+214 -13 166 6 134 45 _c
+101 83 85 140 85 216 _c
+_cl}_d
+end readonly def
+
+/BuildGlyph
+ {exch begin
+ CharStrings exch
+ 2 copy known not{pop /.notdef}if
+ true 3 1 roll get exec
+ end}_d
+
+/BuildChar {
+ 1 index /Encoding get exch get
+ 1 index /BuildGlyph get exec
+}_d
+
+FontName currentdict end definefont pop
+%%EOF
+end
+%%EndProlog
+mpldict begin
+11.7 173.7 translate
+588.6 444.6 0 0 clipbox
+gsave
+1.000 setgray
+1.000 setlinewidth
+0 setlinejoin
+2 setlinecap
+[] 0 setdash
+0 0 m
+0 444.6 l
+588.6 444.6 l
+588.6 0 l
+closepath
+gsave
+fill
+grestore
+stroke
+grestore
+gsave
+0.000 setgray
+73.575 241.301 m
+73.575 397.306 l
+280.923 397.306 l
+280.923 241.301 l
+closepath
+gsave
+1.000 setgray
+fill
+grestore
+stroke
+grestore
+gsave
+207.348 156.004 73.575 241.301 clipbox
+73.575 241.301396104 translate
+207.36 156.24 scale
+/DataString 288 string def
+288 217 8 [ 288 0 0 -217 0 217 ]
+{
+currentfile DataString readhexstring pop
+} bind image
+579b5269825289595394527380529e62759753a06d6a98528c6d539652657f528a5d5597527f7e59a55f7b8c57a7656a8e528a63529252647e528d60609e538a
+7a60ae5b828357a35c6a8652875752905269805294636a9e55947465a3568879569b5268815287575292527180529c637397539e6d6998528a6f539652647f52
+8a5d5598537e7e58a5607b8e57a5666a8f528a63529052647e528d605f9e53897b5faf5c828557a35d6a885288595290526881529363699e55937665a357877b
+579c5269845287585294527182529c637399529d6f6899528a6f529652658052895f5398527d8157a5607b9057a5686a92528d655295526581528e635f9e5388
+7d5fb05d828857a55e6a88528859529252678152926369a055927664a557877e59ba6d69c32fbe8d33f71fbe9428dd4696a537c46f6ac44099ab38e33f82d51a
+e84c73cb35ab8456c65f7bb428d37c51d513dd8140ef24be904bbc6a6dc04e98a730f03a84c01ff82e84c422e6517ab25a89aa48b4824bec0bc88835ee08d184
+43e326ad9758a58d51c6557ed902eb4679d902e2497cc525ce7369b26c71bb3ab69029fa1abe9323ed34a7983bd7577fb34d9ca240d9477ade11e74d71df24ba
+7164d24a929f3fc9775ccf1fca8537f424be993eca5b7eb742a78e49db358db729ee2e84cd20e64f79bc4c979c49ba775ed408cb8641e306db8543ea28ba9355
+af7f58c35788c80eee447dcf0ef44081c726e76674b1697ab743b29035fc14c09329fe22b98f3fe34294a5569d9c48d35179ed0be74b71ea14ca5e6fcc31ad8c
+00c0007c1d1966005512453387005b3d0bb302b00d0da100b1133b3e19522636146f049a0e258103d400664300be1d6f172b342d4034440aa1007d1a05c300a3
+032b8f1a8230441f3b335e210d7a00ad04497105ae0067281884494b2c3b1a6a24762800a5009f021089068a003550424f5a2b1a671a9e083d6c00bc01773312
+7e005b113b4b741449450da10baf1806a300bb0a2c531267123822631a8c171d7f08de005c5000c50d7614224b104a1f4a1a9d006a2f06c600a7061d9c099821
+44282342452d087b00a509328302c0006936029d355c2034245030553400a500900b00a3029700306d316645381a56268111277700b601654f0c960060182f65
+622f3e46148c169e2102a500af031f6b0b790136355531761f19770ec1004d60380a65006f173b510099007112047b186b0247283a3b3a40007b02790b146f00
+8f005538225d1455064a2d6613255d00930676290a81007902354632430b4f1167197b1f028400a7003e4d00860462143f232c3a0a5d119500474500a9018208
+1d5d006a0e4f18521a323d0588008c04207c00a20457270c6b2748035c005b21285e00a000662200930e77013b37284b284c0173086216028200900043501676
+0d5b0c373d5121166500850d573e048f007500205c2557044e1a5128562e00830093002b5b008a005e22323d204604571b8101355100a2027f16136f00760646
+2b43261d490a7d06880e108300af024c37027e1456084f0a462d186306a300583400ae087e022e4a14591a5109660e4b2b0290008d0031690b8a085b1720513f
+00be0063020a46003d022b186f001d1600b3019200007100ba03191404201a1d016b046300035c00d400321100af0b6000120b242710210396004c0400c40094
+00083d17860b200223115216006d0099001a2f01a00049000d672841031d0160103b0e009c008c00036f006f0018163e4e1b0b00550699060d4100b800510d06
+630044002629560e0e1a009e048300008500c701122b00350a1f0660184300006501df00211a00c00465000e240c32062b088800330d00c80097000057069e06
+1b060917351a00740081000d4b00b8003e0800851950001703461a1d1a009f006b01009800840011232b67131a00420b7b0d025a00ac00331a037f0049001d44
+412608210085096404009400ae0006480052011b0c522d2603006303c000182c350d3503620d282901a30062110a810d630a231a413a34230565067d08126700
+94002921146810300d3d266a141a36019505671a06810077061d431a3610270d71176b140b7102b90122350383033f11272e1b1d0e4c0aa200282501b7017d0d
+1451006a0a28162f122f200690008a08166800b505361a0c62233f0c35054b121a3f01ae00511801a0096f0820222b4a1b2603580960120b8200950024420d82
+0c37102f3651251336017e0849220492006c0a165e144b0c28135e26501a066d039d001a4a008c003416204716240d4a148901203001aa0176120c6a00750524
+2722181d250986067f0d107100c5032823067513420d31113417144a04b3003f1d01c00577091a341658102808450d481a06980090021b5b0699083a141a493b
+01fc00ca7336b03597667c4fd206af7730db04ee3b43f200e82c7b95499d64735cb906e82274cd0bf411af9305f430ae665f8a606f828717fa00d45e18fa0ddb
+355adf29a55e75796f6b964466d000f60898be0edd1db17f27b46f6f7d6f609741c0651bf600f23040d921c63b6c9669639d4d6a9e41cb0d8ebc00fc00c58628
+c02ca56a6a6fb323a17b3dc816f84733f200fe1a6da93bad4c7a64a223dd336ac619fc0ca5a104fe17c0674e9a48816f8629f800be6c1ff206e3334bec0dc447
+7a825a80805e5ace00ef1083cb05e818b18900cf518c6c69718056a07c13f800e9481fe918cf3860b64e7f8063718a52b41f7fc600fb03b0a01dcd25a974508f
+9545977a4bb428ee5525f400fa205cc52fba3e77748a3fc13f63b429e70599ad349644568a1f8a5725ba1d8e7503b1416a7f16a5474ca21b747a30b110579b1a
+ae3647a22477732f9c336f8c14ae5245a31f9b4e1fb120897321964b409b287b7630c9165d9229c72156950da3384b8e355e8021885250bb06a26329be249653
+20b2137776307f5b259b295b9a1dbc2c50a714b1484f9903935a3d8f4353861d865d2bc317926f0abe3b7b6f1ab733599228796f2ca71a52a11db03548b02087
+6a3ba7207b7d23a34d4c981d8f511db321897910a0475190218e623bb71268882dbe0d569a12a7364a952d677c238f485ea701a55e35b2209a501fb01a82732c
+875527992f638e21c32551a020c436519708a34b478a3d52831f845c3bc910976a17ce3386601db8236784307a6828a12352aa1fb33447b21a995b43a10c856f
+3b1b5f00571f485f026000671712511a57195c40242d4f510a6306500d1d5f0060006040223f1760264a3244133f6200630a5f3a11600062043f3738441f5f25
+4514712f1366005e0349550560055c1a3b1d334b215b1759005c52016702601d2b5f0050185a1a5925314c105a006a0e3368005b0a60421b56224a1157004e2c
+36600160006929015e115c17504d17363a5d04620d46250b60006300565b174b1260303e3e3b282d62005f12584c08600064022c43294e1a6030361f66420c64
+015900355b0060006028302e245b2053224f004f5d00640260291d63005c0d50274d342c571751066d1b2267005f06594e0d601653124b084238285f0a600065
+3e0168096016405a0c4228600a60183b38086000660544680c530d60362f483500a3016a06182f0056043e1b6a002428068f0198040077009006331d022d1a35
+066d0462000a6601a9004b1a00a70d5c0d30051d350d44038a004d0d03a2009002174a146a0d3f102d0c5120017c0085002837018100670d0e672c331345064b
+19421d0099007e01066b0071003b143a431f23105d0083080957009b005e040d4a0062062c2f560c1a3a067b058803008a009c041f3000440b410a60174b040c
+7101b300342700aa05680a25160a4503470b8300341604a30199030664067c0a3d12101a3529047d00770014530095005c1100851d42103d0436262535009400
+6a05008a0080002b2d28550e35104a016f12026a009200451a066500680b2147421d174406650d6a0800970090011149005c00440d502b34120d6f009e001841
+3b2844146f092c2104c0046a20068f1068220c2b4e412d131f710b930a1a7901ac0d202f14771d1b2b3a1d7417303110a704671d0a8a04901d1b4c193529141f
+87175d0b1a7e06dd051d4102940d46272e3b2710264b0dbb0233200ad002871b0d4f03811f20232b113f1619b100900c1a6400d30e232c045f2344264116560a
+283502cd044f2003b40c771f0d323456271720600d760e199a01aa0d1a350c9619292f282957272d3f128f06411f08a70481201468144c2812246f293b0b1b7e
+08bb041b5902a30d372923552310284a149b012f250dc4017e1b0c65038f1d21321d14331a1aa3067c0c1a7703e80b1d2f047b1447263a203f0d274906d4033f
+2106d908801d0d3b1b6a251620460e5a1318bb01a30d194b05b2142b2d14423f00fe00d70d3b7101af058a34cf00466f02d903f4020cdd00e6027b3a297b327b
+04c606be0d18cb01f4019c3800f41dae0468142b73309508fc00a52301f700e502449029a31a8a0b693d7b4104f200eb0065920acf01c6081aae585e06900476
+3b845a00fc00df0510b501c902843b6a644e5b05a714bc0e28b100fe00c730289301c5056f55a7131d8503c010ee0c02f200fe01605e169a168e08a9239c2405
+d101fc007b6000ff0dc80452411090169918fa00774c01f400ed0224b80dc00b8a1a47585f5504ea00d9003bb602e301b51200d03b850583055055587f00fc00
+c91000d401d90269604f80327a058f25a02506d300f8009d5c18b201c805467a822f089203a321c32d01fc00f400358905b503921d8f3f763d04c006df00568a
+8051d912c03da3c00bde05e15527b33db53da58453679d9b26de17be2050d503de0dc59a4e8a4fba52946f942885d50cd614db7922de03de24857e778a57b74c
+9a2ee15d3ade06d90899bc0dde17cb58874e828d51be35cc02bcac09de05d54359d200b83eb84ac051869726cc00de246adf00cc1dc78735c6499e46c618af52
+7fd509de05e17404c928c13593a335807ab220de25af4f2fdb03de0ca5c833a33ec162798f7c5369dd0dcf24cc9f16de04df365e955ca149b5647d47cb7a2bde
+0dce0177ca03de0dd6716d6a69aa4cad4db401a0c40add06d95b37de00d32ba7609f6b71ac35b80de13f51de03d914b4a120de34b648ac2c9a6b64cc1ade04d3
+9006dd18cc357ac31d985bbc2cdb379e761dde02de1288e21ab82ec66f59a5682ca04f4c44176043355121666b0b4c2040933b981b268c35905118560935601a
+515247811a315e42af3451360ca755494d1351432c5b1d52742e662930a340853611872f6f51144f133b7d14515a4989312d58318a444d4a0b8a5c3051174d58
+2c79014383407e431b7c34624a0e60365967024a40469b144850379748453d1d6c4c3a511f71670c4c22457e3599132e8a3e9550125f193b571a514a4a7f123a
+5c44c0284e3e1ba7514b49135a3f30512159711f572037a53f8e2c1a8e2f7b51195000386f17515b4c862826603b9b3d504101975a3b4f124f50296a134c7f3a
+7437248f3b7143067133605c0b4f2e408c13505941923e3749267b494351187d631b5021496b328f0a368c428a4e176b284a511a52414e7a09425346b11d484d
+04800077262741006a3058256c0053481971027f13177a0074145042234d28502365036a103276037d0a5e45037b135f2c431f1746355d148100681f0b7d007b
+203565165228573f45283e271980007f014d59066d0675320e5b343a3a5b1b4424533e11800075030d6402712555443532403f3b600e5f092c6f03800075311a
+5100753146325f0a49531b670a801d108100800c404b165c255a2b57125c1d2e710680064d510481096a2435290655305e1980006035127c007d1a236f06601f
+573d3337333a1d790077063b6b02760b6b3b0069234d35531d313341511180006f0a006d00772446512840364f41551a50161a7c008000624211600175342f46
+4c1f475d1d5914712d1080007d052b570b68255c3649204e2d326a0971043f6327452d27500527051a9210512f027d0e4b3f013d3b2f37053f521077051d560d
+7f250d350b6028114a242163104425227f084f0e14691365370d4e091d470838641357092f640db00e1436096b282c3d1d3727013d2e209605351816ac0a6623
+0c4109583a0d3a100146082e7e0a77171d5501a51f1938024a322d432d2640042f1a1a9d0d40270597105737043d283b370643420d6305226b0e812209310575
+281d4e1928501a472c2467063406177c135d3509600d3348063b531f3f03366210960618430b7728203814472902432f217f00361d1b9e09601a0e5110623a10
+400601430933770a6a11256206bb191233055c2b2e412628330235291da50b35210db70e602f083b17473a0a3e2808520628860d801d1244028a261f450a3a41
+0bed0d96181d5612741d4a2b9904313013c606c40d0d9a08db143e35063b35461b9c128406148a0be90c5a2004de18851a3821354b1d5218ce0966180dee0ac8
+14134e22a0184c1d2e10742d1bae0ebe0b355109b310831d14833d501d511a6c24561714d40bc011119a0a9b1a431d57661a1d1a7a0ebc0d1b6d0de30d851712
+6c12831d3d417714244614a90cac0a0eb40af014244e095d254d1d8c285e0516960cf809382f06f410921929361d5e1d581bbe064a2210e808cc1109740eba16
+4d23052453381bb30ea709167409ce0e741a00ac286a1b481a5535343e17d70b97130bc80bb2182b28407f1a3b1d5a10a11a1b900dd50d60270b8e12881f2f5e
+5c2d1f55179014850613cb0be1131b6f0a7d1d511d77423a0919950dde06234a8f14ea00d3489ce205ee00ee3025b93ed102d960526f90c401ee0cc3213fdd00
+ee00ec8c538e32ed06b06d9d2857ee01ee16e97725ee00ee03967d869f14e826a731ea6a10ee00e800aaae05ee09df31903b74b21adb28db00b0be00ee03ed1a
+60d000c521d93bdb5364b608dd00ee1f5eee00dd06ee5f3fd447b103d500b96666ec01ee00e75f00d426df02b987388963dd02ee1daa530ce900ee00c0c738ae
+1fee169097845d30ee00e328d1ad13ee00ee01669762bb03e93d834ccc9a01ee00d9017ac700ee00eb57766551d609cb45c00187de00ee05ee4344e900e20ebe
+59b77943d214c80eee3e32ee00e902d58d1dee2dcc14b70e9c883ee810ee00d29000ed14e90296b11fa341ec16ee358d8803ee00ee0893ee1dc710ee366cb26a
+0dd510b735407a16a236854fb20168771dbc04db1428d203bb227d5e337d507b319614bc2238c109d30da25906d52d94316a3d2e6a568f2bca049e380dd106cd
+2253a723893b8a4169487c3b2ebe13d30d6d9910b714bc3814a75e593b90286d37985d21cc0abe1b13a506b42c846053566963369b24a70d4cad10d310b74e2d
+9017b73769679e0e4d8921a911e1241dd606cc1f63761f923d8a358228a9352cba0dd90989750ad91ba72d56581d83439336cc038a5c14cf05d41d3ac00c9f2d
+8a494d5f6a5930b312ca144fb608c613b43d00bb467736842b504d757d24cb08b22506bb08c1286f80406b517c3d873496222bbc12d41098711da518bc3a4789
+832f4095259021cb3e1dd10ac81a428e11a3318f486f3b8e4b2eae17c5046d961f711f626920521d4b9440515f0b963d4963026a47426d03674c3f8d274d643b
+835b086c1b74600c6d24557e0d6b275188336a30357b445571097d30246f0865603784134b673daf3834532577651d711a605c086431559d19523435ab3a6b47
+206c355171086d23236f145d7938892f2d6f2ba54c255b06676421711d5f60165928519e364b5216a740585b0b6f3f456f04713b38821f55713f874d0e682183
+5b1a6f1857741671245b79295725408645516f0a8637316b0567563b7406595f409e303f5b327d65146f1a676203692e568f065c2b439d366f3d296f3f55710a
+7427146b0e60713587233a7135b6442853136f6221711d5c5d105f3253a52c4d4725bc406252146f3b4c71026f2e31791a59813f88401b6d26925522670a5f6d
+1d59183438062b0d276b184335015c0c354b00452b244f03553b115800124a1760360b3b0a402e08581b2f480c4e192f6210401018511a4948064809165b0249
+4a0d580b3d45167d0d02380d523d1d4613281a004326306c063b171f7b184b280b4604434a044d14024700365f14561d23420577291146033a382055192d2203
+271a2c74143f28086c14404002451d2f4b045e30094c001f561760310a3f0653330e5e132e3e14571a32510b30051f5e1a4642054d08255903473d1852034844
+176a000940135b3e163d102c27004d25305b003b17277314481d114b12494c064a0d014e0040580d58162f4510861f083f08463d21501825190034252f79103d
+1f11821a463505470e384a0155240648002b65195e2814450366321252082e3f1a852d31280c4727102f0e324608280d2584216811164f1f7d2f052806103602
+2f3a2842101d3425a21d181f09802b382d0430310b2f002f571a36191d8a2460200a2e1d602f062e111f55062f3529641b101a1b79271d2b06582e292f032c51
+113500276025562711571d3d2b002f27442e012c31287d0b291a217c29202410522b122f113b3d0b290828761d5e0b1a5923802e0833101631002f352e300a22
+3b27ae181d1a11872c352b063a270d2f062f50132d13219224641a0e421a6d2f032b001846052f3d2b56171629218a231a26006929322e012e430b2e002c5f21
+4621166f225027032f23502f062e2624680a2f302574240a201664291a2f104a36192f082969184d062060266d2d0c4518242f002f30362f05273d2899122319
+6f02d000b52b74a300fc00ef0c08c62bac0089455876737c01e200c01614e100fe00aa6a467c1ba7008258a92638bc00df0aeb430de500fe015f84606a069c16
+9a33d92d00ed00f200719301fe06c61b82354a710ac01fe900858300f703e70034b300d2189c30a724557301e100fe002cea00df00ac3b05d5469900bb00993f
+47c001fe00d33500e219c40071663d924d9501d600a22800f200fe00809f2da10cb4005b7a8d4217cb00ce16ac7304f400fc0031a1468d009d297d51a75100ea
+00df0148c100fe00c13d6951318d00a735ce0160a300ee02f2191dcf00ee088851863f288f08c40dfc100cf200f400956300fe26bb06a310765726d00cfe01b2
+5f00fc0dd500528d21ae30a211c80e865100fe00fe0059ce16c004b91a31a57100e800d235599308bb13a746be0a7ba505d904e32035e100d613ae595eaa33a3
+13b505df3a47d604ed00ce7300e12bb80d9a4e4c874cc40cdf01b55e01e503df007ec5259838ba149b606f5a14d500e31197c514d500d42b43a36a8224c11f95
+4dac9000e100d90940b519db00b8675e5c7a9508c12db41062ca00e700d55d40ac00cf069066a5325aba0ac916e34319e101e608947743c519b8279920cc5328
+d50cee00b09800e913c61a776c269d2dbb22de009d8303e700e2055ce10cb824be2e8081568106ce00e1216dd706e300d54d14be4e9e16b73076697bb200e100
+cb300dcc0cdd00a090467559aa08b342952737d300e605cb8a29c400d11271818d5c3ec613b62dd56a0ae200e30271962fd601c4417e3aa97514cf19d60090b8
+514c712b8d125f5a14e90da13b11be1a7f432f4e605b5d263ea216c01b34aa0adf1f5751288a354e514b409d21556721c108a53319c30ebe3b307935404f433e
+9f24a01435b20def133b710dc9236c484d56432e48711deb045d4514eb03bc35198810a93d454c621f6a3633d601c91a2fa301d91d5b520c97435f486a2d6d17
+486f12f40b8a3a0de3149b3e26564773483d409019a22631cb06de1d3e711aa22e5b5635577d36517125ab0b7f3a16d60eb33d249627584a3f44833b7e1238b1
+11db1236890cd5216a4c3e6c3e384b6228c70156571adb02b63419a510bc3b3b5e4e225a3b35c00ab91931af06f0194b5e0db532684760375a24487a16fc0973
+3f10fe0db23b1d652d8d434a427d1b873031ed06d71f2b920db92660511d76630ba5004b3a005916224b182d60005618249a01891d1b6f0098200e4e001d4014
+414b046705315206b910383e069e134a4508442817470e2377005c170da9057b2d0d5f1371331457141f5e0d4047058502223a008a173b510a652e3356133b53
+0d5601237e0077140175035a360a502f4447024f3e1a90033f370b9c014036006718284e183a510d59182c850583141f77009e1a0b55002d3a13454616590538
+560dca0c363709a70a4e41054b1a194714257100561718af03832714690684291450001f4e11404d017704274c009f163b4a007f213f4f0d3f3f124a05227d00
+6918008c056a34055724583f0a582e1d770641400992002c3500771a3452144b411d621a337108730c227f008f17086401433b114a3f285104435114b2053b3b
+1d1a3d002f0d2731003f003f0402310c301b2d23161d28280d3f002f06043a003f00341a141f053328261729092437003a033d1a063b003f031f211a20183219
+270d3f110e3f003b042033013f02370c260d13241d340b3a003226013e003b13122d00340d300c300c16240e37003f01173f0037083328053714281035002814
+2037013f003d0d023706351d25280e241f2f063d00270d033b003f0029280d2802352d1b2023101a3e0035063124023f003f00112813281d321d1f14341b0d3f
+0036001436003f003a111f140b2d222f0e33002b30003d013d170c35003b0629162714172d1332043f08123f003d062c2e003f0c320b2f041d1a1d38063f003a
+19023f03381a1a2b082b1733043a051d180a3f003f0021360631063729112d204e6f4a11770631130d8d0c500d0181144514013e383351020e460d73060c5b0c
+7b0c02420d5a190b21223a6a0d37180d7f0b600a0a770d5111004c181b1704285c1d80030a5b0da30c133a066d13181a0e2d1f01142d2193053d2109a10e6612
+06630b4e2000261b04310218740d82060d660b9b112129015e3220100b0e44051f2410950a49140398145214024d293b3e020e370b5a050e6a0d800a095a0d6f
+16162818455916280d0d6a0947050b820d500e0263182f1704324d276a010c530d8d090a4b09750d0d2b10401d001a2c2b82023b210b950d6910086c0d511700
+351b0124011f6c1283050d650cac0e1d320469231f0e0e183303172f179e08441f06b3125d14035a1b452f001729084703137b0d83080d6a0d83131d290a5249
+4efe20efcb98d75acb60944ec918a1872cdd04e7414ce800e328898d57a35e8953c106e53275cd0af411ba9308e82eb15e7484687a7c9a17ee05d06821f20edf
+306ad928a7588c6d816b905760e700ee119dc012de1dbc763ea76c7b71875a9e45be771fee00e9374ece26cf35848d646297665faa3fc70e8ac800f203d38331
+be2fbc608367ac36978f37cd17e8523beb00f61d7fa745b54a905da521d64767c519fa0baaa204f417c163629650906a9e28eb0dc07b1bef06e2375be20dc442
+907a6b857a7355df00eb1b87d506e917bc8416c3519564816b875d9a8d12ef00df512edf1ad73477ae4a82797c659952b03377d700f208baa023cf28be6b6983
+90588c9346bb2bdd662dee00f2266cb936c53b906f883bbe5860bb28e3059db69763e92ce548c4d505ff00ff5521ca2f9f12534f59666a4c00bc02bc0d0ec600
+ee00755f357b1d6f0d5e4fa7223b8600cf05c13004d500db0235714b4c11621d9b29c11004cd00f001517c00e1068e1b5f3540460d901dea00746000ef02d106
+16a200bc1866297f0e4e4706dd00e6001ac500d9057b3b04b33d7108860085253e8e01f800ab2800e214aa063f633d82495d01ab059f1a04e100f200588c2299
+107c133b6a843a219000bc0c905702e600d4042196376d095f2e7e45942201c800dd0033a000e90088374d552d570a7f31ce01577700e301d2110abe00d40b56
+4767212d5c10c00cdb060ccf00f2036b5900d522820976106735239b0cfc00934800fe0bc0062e84219d306a0e9c0a7a2e03fb00ef003ab112b70980231b8a67
+18f401c86a63a33eb155974ab735887922d703c12d34a100bb13494428522d471f8a048813358605d704604600b6187d253b3f3d41375108b1007e3006c905a5
+10346f1b882b4b2e4b36622b289800b205506408b2066f341d773e553148287724603b02b400a71121900e8a0e44444a4f4c3425731fa108436f00c4007d3f19
+830e6b264c3f7419484b17ab0ca22414a500cd0a405a20661b4b257719731f2c860bdf03575100c50b88282f5224512c5614a900683d0ccd02a712298409a21f
+4b353543493b209b00a10b417703c4066a3d0294296a2843315f304b4900b60095220da90b99113d5835673b432964288314358200be016050119a0c712d3b58
+5d35404e1d98168e300bb100be0634741879114d3165306029278113c4014e60471468009e18746f00cf00a92006b7257f112d474f5763310290008503005f00
+860020120e53002500281a640e012c007f005502006c0060000d3a0e1f011a0060135e00006700a5000d1a00730328001b240112003a0697001b1300a3007100
+033f005c001b1020001d0e0080007d00005d009b00260500511f2800280035060826009b003b02009601600010102740131a004300510600730088001230096b
+002d001a294d1a0030006a00330e007f00590008560935011b00512141040062008a000435007c0027031637001900370d820006230095006900005700630014
+2018010d170075057100006600ad00190c0064102800240a1b0c003601a3002f0600b2006a000a26144f061d043200370b008c008700084c0482002e010a3d37
+01a5006a35146b0d3a323334711063311b9f0293211f8d019e22306a185d3b252c5104820d1d4c0293002c1600510a2202190d1a140b1d032c001d100059014b
+001437083b0a1d0421102c0e0421003f03181d04530029060c3b17210620053a0c281800350032020b33053b001f1410251a1902320651021025004d001f0e0a
+350020021720240d0d1d0253044b0c053e00490118140b25061b06160c2e0d06330275001b1a005904200514180c17061d092c0019160160004e02103d034305
+1f0814141f14011d00370612200160002b0c05491225041d082d10171d003100260904440243001a260d2f111a022c0b41060a250047011d160644002604122d
+1f18091f034b063f12023d00400013230830001d0a13172714043504670016257af880b7d460f0be90ee74d1de51e37b9fde4ae68d8ae160eab577ef79cdf07f
+eeb5aef86fbcc668f6669dbc41f8775caf0c9b5d22ae197583169f4a3fb4148a6f23d018718d19cb16579b06a54538a228688610a34837bc09a35731cd08906b
+1fb30a6c881a935829a91d6c9002bc3355a702bc4044af039a5c32a52b5b900e99561abe1688730ccc286f8d0dbb30559b0e966728ab1d5d9805ad423db51797
+6621ce1d747f1fbb3351a30d9b5824b1177b860aa9424baf0c965f35bc0880801fbe0e5b9703a34535a225737d0baf3e4baa01ae4d3dbe049b6522b11073851a
+95552bac1b76860bc7295f9d0dce2f4da506a55135a12b5b8a119b5126c812946a1ddf1d7f8117c02162951993622ba92263a105b53f46b80da75832c00c876f
+93bbb284e15fe3d26dff5ff0b757e876b7a573c0878dcc7fb2d758ed66a7f855ff83cde27fcca7a3ba959bc643cbbe7ae335fb8033d113a567279f504c8a376c
+8728d5145ab214ea145b9808ca3762804369732b816932db06996225eb05b65822b70e956a3f7d6f28983457b501dd284abe01d9325f9003ae5a4d81564b971d
+847317e111a06209e624926c22a03d6f8434738c25b32850c004d5334eb11da7514c9e2777902c925f40bb0da3601fd114a76a1ab44363862d77713fb91462a7
+1ad71252a306cc355e853879692f875c43c60190652fdd03be5321c013a3683788632d90385ea30cdb214ebe0aed245e9206c54a5a7f505388257c7521eb0d9c
+6316fe17a36523b229817740758228a73151cb04db3149c010bc4557960d927706c90198604ba7377d4d7f40a236907a1ac304c5535bba01bb23755e5b84426c
+3f9406bc4875aa0adf09948a2cc4279744674f514b33710c8a057551149d058f00497f166a2469105f374c350e71008d0c596d0d94007a1a296c3e5214711469
+2c6957018500820829711185006d40353f4b5a067a1a81093a730095016f36267103710852416024346c068e0d932b1188009305594529740e671652167d351a
+8108af00685b009e0c6f1349441b551a69168000574f02a00194063a8a067c146f1b4e4b374a066b008816417604a0007a2d128030620d6b1f52384a69008400
+75210d85098a00605c285035630871276a1a24760092056c50198100760d4253523e22710d811a86420888008d01465a1d7c006d27452869480e820e9d00516b
+6314ae00a725779c01e300c42612b52c9900645e5265716500c803ab1216c000d7008569418429941a755f9f2058ac00d40dc83306ab00ab00316f5a69248e26
+8c279e13009f00c500243800a5035d00402b0a2c00660abb00323000c500a3000c5d00900042174b002b2700a700ad00038400b5004d0d0077284a005a015013
+175800c4006a0600b7058200281d31621a3e0075006a1100ab00bc002f47147c005700233e652b0063008c02532800a90094001371184d004200643058130094
+00ab00095d00b001580c3243003a005e16a301164700b7009900037b00a000352c380514370095089800009500cb003b1d0096145600500d311f046402ca0050
+1700d20093001a3b1a770b470664004e1a00be01bc00176d0a950058030d574a06f2009d1f2c64147b1a5a2f9f113e4d10d202c5141a9600e30e4b331b4c2e48
+168a047e141d8403ef0674310de31a961d41293f51273b039400461808c506c114237920a71337112b134c120c55007a011a2203900135110d4e1a3d10190c60
+0c231400810074040a600559041817324019120c4a0a8403142e009b003b140859032c0b261d44101719069304660b056a00a70314270a2d09190b52132b090d
+5204ca011d1a009e04570c0e2711210d200671002c1403b10179050d3a05880a191111172c160963006403163201a7012b14016a0d4a0c170e47101919008300
+5b0a0280036904141d2456141a0d3d0d66091145009300211a067302350d1f333125141a0980084a10027b00930111410841041a104726210d0c5506ac001a24
+7542c102be308da703fc01fc510ecc43b6318364587589670edd0eca1443eb01fc0196773b813d9b3b826fa72681b903e113f86717f701fc0934743d411a7c33
+9935f8462be802f4068fbe00fc08791046342028016c14e800513e01e900b901008100a10d3e215e00342401d100c800019e00d3015520009633560263016a11
+266801f000860900df0c980219463b713538028a00860e00c500db01356c19900155022b537631096a01a701713300d500ac011484245102381a7d3a790201af
+00d500117d01d10164223b501233015e25c601385301d700b10100a200b605303a49011b3504be0ab80001ad00ee00463a00b21b5e015c104b1a0d7308f8006d
+2700fc05ae010d64208822450d79005f1701e600d6011a900cad015c0b11715849cd2cc8c888d78ac0d5b6a3b55ef4ca84c614ce96a9d913c48cc6ce95c6aeb7
+cbb752d671adc025cd42d7eb5ec959bbd4bcf2a998d9c98fcd3ee19f46cd30cd7aa3e846a7b0bee3b9a1b98acece56ce51c4c51db92ca3923894646a9b7e7188
+41b96f3bcd06cc414bbb27b45b7ba057559f5e859444a70d95b90ecd12bc882ea738a586756a9732b4834eab14cb594ccd04cd3375ac42a566847d901dca457e
+ad22cc12a3a70dcd25aa795c964a82888e42cc11c17127c70cc14e5dd40ba359849a657c7d6875c30dcd238cbe09c126a99d16a751818977807653a38234cd06
+ca512bc01dba566dba406c8a719087509a2f8ac10ecd16af9c21b235a9975e7b814eb4875f9d27c66544cd06cd3565b336af63858c7533be527ea333bc08a1b2
+2eaf3e779f4cab695ab460978f23cf8262980eb16476b1148a7168933f7e7d528f553db843888e2ea32e9db828c0637b9f5dc97646c3627f8a27b3772c922193
+5362d12371a06ab96a95ba4fc3674aa54890af35a34b7b8d2e7445447f60554a268a46366f006d1b1a6a086a535682283176456b5c2967086675196a0d60561d
+5e1d626a41605612865b3a600a9435358603622d436f1b595756664214902c5669137d117677107d165855365f144a6b584960037f48206f0480353fa1064e49
+5871383e5a3a555d107b1a5573026d207774057736456a555937317c513b6a017427016d056f4d4e901f3a684e77533162125d6f186912635d13622468713365
+51268c60455814983b357c016824326f1365595b7336218d375d651f7406747b6b5c9019963b85900598009f461d8e31953f9071484790902797117d25429200
+95039285336d409243765d742f839a149d139e7524a300942c716060774c90436c1fa75c32a1049d067e870c9d0a8d505930667a3d8a2e9c01a59d11a705985a
+6aab007f33904486627b841d8a00900c2890008303813414822b62087f006032368901900086260181117f0e5e47235335750290045e1f028c00900062652060
+068318485051281490008112755606900090002d5c31620d7a22482f6c47069000810035750090008d27482f206f126f2376014777008f028f1f1d800089066a
+356036206d0b750990181690008d046c4b02901975086c094d4524870890007a44019008870d475c1363237e0b8d114b3f05900090004887107103871d2d6c43
+0df60bb22823651d7e32633baf004c501ac902d91314c502d5205946115c3e4829ab13a10624a304e60a663505ee1b922d42313b5e487926ed09962e13ed05cf
+1a1d6f239b21522f221276281db90dca021a5808ac129434169c574f36732c7733844421ee10d72528c517d230774f5e5c261a1d59099c05183a02ba004f1300
+62064b1d262451102419109a027d080b7f00c9060d36002d18271960163301166305e3041d1d03bc0460170a2c0e321a280b8700380c09d101960d064a06a310
+1d1d000a3b201776007b000d4500b306431b007f14511d1d1747171b0e0a9c006a06009701861305222b68191222360a7a0d185801af00301300790852201f3d
+3b2726281382055b040c9300af060851004e14231a532d1f011a6306cb0219306a0ec00a9d1b5f8c06f406d0100cc91da10c6b225d7658770dd106ad140dcc06
+fb087f483b7b0b8a0d603aab28109809d105ce340edb08fe0d4e7f505c13870b9d2fb5160be105ef052d4a05e30ca30d6a3b0c460dac14eb05566a08f606e80c
+359806d40d9330a114506a0cdf06ff0a27dd04df08af2c04bc3b790a6d0643040b5103ee02640802d3039309140d3d6a0a2d0981047a1006ba01cf041a281295
+064f0c2d2f63320c660594024a0803c402a309177105450b350a7e313b0308a302d0030c5f02c605580b3455092b0b5606b701123504d3009908047602b7092c
+2929061a2908c0068f04089401ee0428210295135f0a5914280d0a6603fa013d0d02fe02a209041821870a3b0a6404551a06e601c404065708b006500c134b45
+09dd05dd8985c63ace67d256bb45bcdb28d906df608ee300d32edd80a3d551c336be05e1688cdd0bdd0ae2b924d434cd4ec19c8a8f9add21db1de3ae38db14de
+43ceee25a367dd6fd78e7d7750de03dd2fd1dd1dd51fdf8286a26bae71dd5bbe56c4dd29df08df568acd42dd35ddc17a79c0dd6cdd58be40c1e308dd14dd9f4b
+af02dd129064a32d60c10dbe17dd441add00dd0a977b43c71dc429971dc4552dd40cdb02ac9a01dd12c61d7b6a21a732c621db009e8505d900dd085dd90cad25
+c333828251860bd300dd2071d906d502dd5110b54b9c1bbc326f6c77b603dd00c72c06c30add08a58e456f59b013b3448a2838d900dd04d08a2bbb00dd17717c
+8a5743cd17ac2ed06c0cdd00db0373922bd509c9437d35a2771ace19c7018abe7a99ab5fca58c1b446be31c58c2fc167a76d8dae5965c5825db843b74d7bb62b
+b742a1c34c9684aa7e869a9e2cb4bc44c040d58c4ed238b26f79ae99909bb28a8d4ff87571c83ac42facbb2bc557a394717ca78279a371c014d5c52dcb3bc56b
+7bee34997faa90b077b8a065ae35de5f90df2dc35bc4b84fcb7e8c8fa179d16bc0bc50cb34ca7106b12f883b5b9429647d6c519d1a8e2128ad1bb52d6aa32273
+43835b44797c2d6997329021975d25b320b643299245664d7169553baf443eac1aa00c51a312ae3a8c6f4b4b5a684776539801888924a719ad332eaf1aa35166
+7564346a6a46881bcf2738bc14a7237d8108b550835277337446569636ad10a56f0eba2896314aa31d766c775b921a843a30ad1bbb2759ba17863a89632b8e71
+63c1805e823f97823382198e9a417d4482a182b24d3b9d77a28234853660901f825083ac30637c81bc6d6a5e35cf8749811d837e498a2883a26d965a79d581a7
+6d23b5719f8428832587a92e824b7dab5a609c739d7d5a7a21c6a1448224827c6ab12874b182ae7763b97a8a7d1d96739f970c805e85d1567c6f74c37b7a8a57
+ac82408129a3b9447f38818e7499274a68605781196f2d2482008222687b1d603d6d8e455148317c7d2577147f5f1281068149355f355d746667492883475181
+08770046850482287c6840404c60716333690185712180037f502181007b4860565d407563466b0881325381057e1f69871482306a65651f5b3e68761a810a8d
+63118110765547891159626c5681236d4424810082245e810e6b38718935603d13b11b933b355f147e4467559601776725990bb91a1dad06a02e474c1a554b53
+3f8c1690102b9310aa13885308b8317c3a4745235563743fb2099a4112b116b22f53b11d715b79505a44712f38af19a211527b168d1f8345139d5b4d48743657
+339e5335ba1ab22823a113a341717d4b4b8153418636970d63a51db223a056288125a34b60759012798733951fcf3225bb02b111134200452b38296414510226
+6906b009352f08ae0a68221d260a422841238802420e10a701901a0a6606861b3535061a402828810677051b51009310572800771d4d33321f36253a2f209b02
+7606008e007f28203f2d5923293d440471111f6c0d9a08482204660d623521483f213b3b1f640c6a06188f00a50d0d57005a2c3a28532940062e69069c032446
+491d5d1b8111273f1bdf189d1a11bb1a761b2b1d5e582d141b891495131a7e14c81a351d2d7d1a4c1d41378c1d1d4118b816971414b51ac81d2e6f3f2f21501d
+9a35960918c819ee19345a12c120691d50481d301d6a1de60d2e3114e816b718147e18b71d5f37651449331dd218d010129e14d21a5d270b9443601d731d651a
+28761df0178e1d11e61aa01b282f4b8a385b1da3127f0e147f108d14041a0b8718171d1d1a4e1f1d2918790b2609108a11621d0a580d3a1d031a602524021766
+10a50c103e0d881a211d174b1a011b37168901180e11af0d60100b4910761d0e290a062206198e1060090e600dd5110a1805601b341d281f2d04193214bc0b24
+120ac711671705231f511d011d290c480617a5108a11062c0aa516201a0d343d00f200e534639000d514c44acc0d7bbc01e304f21936f200de0aab3e51a335ae
+02be06ee3d43ed03f200e16f00e927be02a9454e9a4ee50df000c97501ef05f202ade528a346e71dc479766c12ed00f214a5dd16de00ee2351ad759924ed23ac
+5dc1ba04f200ef0e52c422f002eb74666087ba05e233bb1379ea00f201ee734ebc00ed0aae6db44f6cec13dd1af4663bf400f40abb8f60ee1dc80aa1219b3000
+d000ee007e6000ee0bc40060370d9a10ab16eb00715200e700e8002fb40db5039e175157596300de00d9083bbb03d900c10e00c338880098004c59529000ee00
+bc1200c600db007d584a772890009923962800df00ee00a55f1daa00d6014b7d9b5230ed1dc733ea8d1af700f705a3b648f205e74c8a3dba9829f228e701d0ec
+9667bc1dd050b4c009d500cb7955bc4dca4abc8e7362a5bc22c714b13658cb01d10abcab43975fbe50a96f8d3a80c40cd11bd29d33d400c346ab8d86bc74be65
+b52de3a367d414df0ccbc733d614bc7b81609ca35fc135cb03d3c70dd606d16890de09b14fbc6ab782a5b94fd200df59a0db01d72cc8aa77c44ab36bb351d96c
+a7c502d903d1ac4ed53dcf57b9db5c8697bc51cb55cc7c6ad506d723bedd2e9e20be30747f734d3dbe01c023ab9010c300c0065583519b16bc436d3eb77f0dc5
+02b90165a700c000bb565e5a48af1aa33fa50181b803ca04c34136c700b4129b4e966645aa1aa30ccf3635c900c806ac7e19c128a31d940d836d6bd328ef1de5
+dd59f42cd98ab7ef5faf96be74d185dbb871db06e76fc7ee1ae75bcac1bcae8946fb52c76b51b765b171848ad72e8a7c58df38f04645dd37d96369833a9d8e6f
+71a34cc8285bbe35ee3a88631dee52946a5d756c7c857c71e342be674ffb4ee55968c65cb67488767b8ab66271ce5ff84893be3fdb55a96c2ece8f756f68679e
+6abc7564e64ee86a53d756d6698d977f8c96556aa367d74784c557fe57d6935aca68b771719ecc3d7a9860d14ffc605bf055ff6d90b06ac57f97719f68db556a
+d050fe2d635a19e336815b296c434e6d4859b4187b3b37d11dc13d22a71da351466f174a832b668d36af1d4a8921c435715f00be4f58663764643d7d3752c026
+a53d26c526a158287b3f795f346c513aaf1a698a33ca4eafb584ee67cf7185c0c0717fad67cd73f78462f65dfc718fc66ce371b08ea587d77e74d96fef48b2cc
+28a132898735965671b35e838921cb60568d149a564fa109945f4ba0386c864994761d961d7a861d9c26778d0d9a36688a3f944b459e565d9b11ab562ca13394
+7559d01a71905ac95a638a42af9742a137878a198f4573b9287d5c4fc453976f33a75974a122aa5e43a7378f9860d24b4cb23aa76d5c931fb6a23ea135908f32
+90647ec05c817930db6a798827a76077a928a17a60bb4788ab66b77438be40998646a1209c89109d1f52561451143564333f7c047c26259802833b1f7e06774d
+2c7a1937531a595f0e8009515e018c1d4e73017d2d3e771f5b3f26652e3185067a130187066d4f1d7d275063208a3e286c0d519447a181a7c8539f7d8fe35f9d
+7752fa7aa3893dbe7d90a73da5795fb74690b273d96956d660c38a699c2dbcba202e1d2c60143f202896265f27088827462901433b354d032948236914214b23
+602601330e572c0a2d1d3d6f0c2c13246d20520e1d7129512e055a221b2f0a35633293081f7429b925233f1681312e2e24472b042b2c3586103b1f1ba9286b20
+1157225a320c44261346092e8a2e9d13127f21a5292735047d50322e312e58103b352ea92262220db0326028065e3b4f510a2e552371132e7e298c210c631f82
+2d22331f6c751d2f06253f120d031d461f1a2d003f111f2d002c3014300323291d5210122013352b0028022f24012914244b00250c1a5d1a281011291a222e00
+2f03002800284217400d173318731d081d06534d65454a3a8520405835df2382481ae9358d3213923b6c5023364b2060142e9b2eb11b14a32ea136524e0e8373
+00f600b014256f0080065932ae00444600d202e50000ad00e6064025003e1f2700a305ae0016a500ef00682800f41987002f0b29532c5708d900851101f800e3
+005bbc28a332760e5f497b3803c900df0063920ad100a30817a04b550c690c6f2e804900ec00e2020ab500bc006f5a67645c2f00901abb0d4bab00ff00bc4421
+9700b3066b60b513527d0bc010e30c00e800fe06576517921471169b23a71606c009fc00857500ff10c4063a350d4300280a8a00250000d400990000690ac041
+d38aaaa36c600089008600005300cb004700008c1d55000d004f1d1f0d00a3007500009d00900000282f6f030d006c5fbe3e63e200ff00c69623ce00e23b678f
+a05875be35c031e15600fc00f70242a113ae027e3a903fa0471ac11ae5008fb39c6dd336e151bad309ee00df774eca50cf4dcd9284699bc036dd29d14a6cd700
+e60ecdba4bb062cf51b26f9e4c93d11de81bdb9833e300e2469c908ab86dce5cc430e3a575e81af820d1d436ea0ad57d9985b6b56fd53ae218d6ce12f206e573
+87df14ca5ace6cc58397b951e701eb62a1e201ec28d4b27ece4cc67ed151df7aadd902f708e3ba55ec40e569c8ce6d8f89cf50de50ce896cec0eee2fcdd634d3
+52d488b68f8f949ed633ec36d4cd2feb00e328568f519d25a5448a51e2dbbcf645fa87dbf05afb29dd7c68675da12ca23db5017fb100e705df462fd600d0149a
+5bb17176c02fd20de6373be205fc62e2df8cf25edfa0ca92dfa9badf1afc31e3d551ff28ee8fc6e162bc85d463df6cc6ae63f205ee41c3e21be84cd9b2aead81
+06ff00ec6a62b932cf49b95ad720abab1ae905f8353efb00ec25ad7e60b94da12dbe08fb3a6ae808fc09cf8a03f430c93b9f75639368c71bff00d36a14fb0cf4
+24a0f82bb567d57cce9e9e846afe0bff24c9f018ef14e86655b67b9464c44cab57d3a519ff01fe3164d126ef26d29f6f6aa59545d148cf21b4f70dfe0dfca956
+db37ef63b980bc65b8e240e620fe7d4fff03ff2bbaaf60ee46ce60bc2eff7a73ee1afe09dfd00bff1ae66ba0b666bc6ad33bfc0ecb9b21f806ffa5e2ff28e67b
+f8caecd2add2a0f820ff5da3e206f418ea7720d667cb86e397ad84b4e936ff25ffb186f834fe52dddb5a98a1e5a0f490c971aeff19ff29fcee49fc35f480a198
+a084a9e359dd3ef4a24aff06ff2f9dcc51f733de889b4ee28e5de932ed10d9ee7a8a9e57be3ea39a35f42fcf7635cf3ea07c58817a7185536dbe2cd03a5bcd14
+df38858d52a767768c6f62ae418f9047d91dcd7146d930e76f5b99636b907a71b34ace597bec40f85fa7bc60fc7ac690aea5929890b24dee2b96863df211d26b
+49bb3bcf748a8aad5ca26d65e327e9526ccd17e34e9a9646cc7da590c179bb639bc046fc41d78c4dee42ca7d799c71a78e908ad751ce6b7cf63dfe679fb657c4
+6aa7907496b27e90d977e362d0b96ff65df89076c469978a7b779b66c37d81f855f06da9e360ff7de1a2a1b493cf90cd7de256b7d368f749f49094ec75f692cc
+b5bea7a2c382db50f47587fb49fb6cb5a355ef79c490bb87b18597cf52ff3ac48950fe3edb7e81b36ac48ab492d355ba7671ff37ff628acf3dd160a7905bb29f
+019f006043126808314d2f3377006f3a289002a01d1a8700801a2151061f281d2b43048c06356c06a50c5a4802981a513e1b411d274f2b187e00711b0da7048a
+372db21f896f50a55e76a0368a971dd91d83b90acd2b797111904b385f2e4350146d1a178f008d1205850067362969354668215b55229c0669760db6007e6f0e
+8a215075366b83108d4b3b940dc7272ea700a927368810815b3a776323c522698a1ae51175740dd416806f2c9047578c575ab001a75728cd06ab3025a2098536
+3f7f2250732b6a8318d42283a503d1277d8906cc607ba362928e4bbb6849c612cb592ecd1aad5a40cf3a7a8c43906f51ac14808919c50d869212ba316373237a
+6f288947448319b52b2fb700b635288a0d66353263462f902052711dd5068d920b510d112206340d0137002d4306470b23530d5911064c0d3f21032804062101
+2200103b05292810680d282b065a18102c02231b04270014310c3a0914690d53301298227660178d164d760c624e0d9a0b4d6a0d92272e710b7c422358033135
+0a47000c3b0d430d09490d2917004b14334f014724176a0942270d7a0d2d4708560d0253064a510d7317376a13881d1d6a0d6f230b6d0a484901653825900650
+4b137d13433e0b901a354a045b171060062b710c77282b97107d3a1b7b114c35065a031b3a022d140d6a092f620da02d528f08bc514b9704715127870927840d
+87280d9b166341068f2b59680a7a2b3a820c6d400d8d0d45660b8c2625790d6c531a82103b5b1377111a6d0d6b1408600c2d2b004119266902564e29b813685e
+6a958c5ac532c0a326fc17d68930db459d7e50a26671b55676ba2fdf3a76df0bef358ab63da56d71a57174af2faf873ad610d56c2dee14dd7e62b0757eb38699
+ba53f488b6f736fc6dd1ed60fe7cdfd7b2b1d69ecac964ef38dbc05dfb08e38852e31dc0796a929a53ba6a65e202ee3d77dd02e33897be36d66f9baea17ad159
+c0c734fe2de6b24bf23dc8a781d9719fb298a9e566ef8ca7fc48ff6ac9eb63c6759ec742899c77ccaf53d426e7ad4cfa32f8a97ad57eb0bc93b0a967dd759adb
+2eee3390ec28fb4ca5a55da1bcbcd7cd90e66fe3d776fc33f4b387f45df6b9acc6c3a1d9ac9bd935fb759dec27f85fc4dd59fa77c8c9b992d277ccd253ff38de
+be5bff2ed5a27be75dbeaaa5a7e16ade8987ff1bff77c0f444e28ac4d98fd4c022fe05ee9076c65bdd84be6ad93dc3ac3fe705fc606cf403ed43a99e67c076b0
+71d628e9477fde0cfb18c9a320f62fb6628f86759092c03fff23e5884ffc1afe76c4f45acc94e9b9eaadccb1bcff4fff67e9f64ef851ffbe8ac98ab1aee28ace
+6ad7ba4aff11f75866df31ef58aaa5797ea58f7fcc50d63eb6ee31ff1ff7be6fe55bfb9abc9ac677c7d763e925ff9275ff27ff71e9dfa5ffa2f8add581ffbab7
+fc3afe35e8e658ff33df6a80bc7cc69ddd65fc44e1b85dfb13ff77a5f82fd776deb3b3b29ea57bf43fff8ce7ff52fe60ffd58fe27cd9a9edb2cb9bd4ee6fff3b
+f7a786f440ff7cd4d473aba3d5a0db77cd7dbefc40ff46f2d962ee55fca9a1adaa98bee679db47f7aa75ff29fe6bb8e171fc93fcbcc090ebdbabf857f65cebf8
+7f49ae27c53595a906f400cb4e38c53eb6378a7d6f64847d2bc622cd3b50c90be8059f903ba04c9e468a5e9c35649e0edb12c5662bdb00d436768a719760a769
+be3dec887aec1afa37becf3dff30d490a181aea587d037ee31c8b52df806ee667bd623d055a95da7577f8530df01e1355ecc01e820ae8a4bc0499e51ae3dc165
+96c406fc11d7933deb33d4539eb36a9c8eb959df58de9095fc23ff4ccbdf4cd46fcca9a58ea17f84cc2cd928b7a726ee0ae34e6ab160b54eae79a150be884bdf
+1aee2890cf2bfe44e3b79dbeb1c799d05adb4acccc3af209f79771ed28f25fb788acada0b45cdb0df26073ed08f829b7af40eb3bbb67aa58bb7c80cb18fe18cb
+a52cfe1ddf5d8fc445b571b34fcd55ba8a49fe06ff45baf62ce360d3b295bb8c00f600c93d35861297247c3dbc03746a13d703de1422d300e3166f5b337d316f
+1ab405c11b40be05f402924e00e3239a25604642603f7e0ae800b7510df80df22d88dd29b45cbc60a57e98775df000f81bb2d614ea17e16049ae6d8357a5469c
+4eb78213f600ec2741c11acb14816a6260765a35ad30c50e60c100f801d97135bb22d3428766ac3577a029d318ee5d45f801ff31bbb26bea53d66cc038e67174
+e91afe0acebc0dfe16cf496a85409e4baa27ed0cb07712f404ee1d47de0dc8309f648da793ab77f411fb4fb5ed08f71be3902fd256b366af688c6fa5ba17fc08
+ed5e4ce71aec278aa04c866f9d53b151b2355ee200f709c7a026cb1bd3506a84905b629d2db52bd65920f200fa1466ab2ece2da24f893fb25c47d62bea06b9d7
+2d081d02580927220299005a0b087909590519163d35361902530471050b5f0093001d280e600a25083629671410290195035910047b006a06194d2735103021
+9023ad1917a503ed04477108bb06642c433b3f1d125c1ac9025c3b02d9019510137b0177182b2142103419059c00a309128301c30438240d772c450b3e06640e
+2e5601ce007e2106be168f111d623e694f380b8a0d9f2018c703dd084d931b9e2152343b5e6f33335b06ac08733204b0008c0b1a76204d0a24236829691608a9
+05e30b53a506d9047c6a455e4e41266c38cc08665804d701a51b10a0019b143140481a2e3319a90ab510139d01f00544480a9b1a510d4216511416600bd00064
+2903d9047d09175f1a681f2310590c501408b100a7041d7408a00637141d594d06d10c764a0c862c51552f47880088352fbb09b1201fab06b92e2d7114584624
+41670da304497d12df116b6803cf2c66471464303a663a20bc05af4319e91ac04c52eb299f8568a56a7aa73f90b019e6108ab114ca2f8a9713af685b95427187
+36b24135ce0bd52c23bc1b9c483a95505e931a71743abc0984920de20d957e1db038747e4e75a21fb15e55b41be93531d90bed4667c342af8781a2a33aee3d90
+b82cec19a7ab12ec28a5873da95c6f8f6345c703b45629e111c83b3bf016c37f87cb7ba1ad79b3d438f23aa1d912de37acac0dc85d849e5d92804bac603bd60a
+cf5134df26b55946c7437f974c92765cb41a8ea30ee30c99901abb357a86328a7b2b9c3d519922cb3b2fc60ad72430aa1f8f504075643eab0e5e832dd5067d8a
+6ff77aadb460cfaa7bbc60b5d152b86a8ad952e1746fd...
 
[truncated message content]