[Pomp-commits] r1150 - www/vignettes

[noreply at r-forge.r-project.org]

Author: kingaa
Date: 2015-03-24 20:32:50 +0100 (Tue, 24 Mar 2015)
New Revision: 1150

Modified:
   www/vignettes/pomp.pdf
   www/vignettes/pompjss.R
   www/vignettes/pompjss.Rnw
   www/vignettes/pompjss.bib
   www/vignettes/pompjss.pdf
Log:
- small fixes

Modified: www/vignettes/pomp.pdf
===================================================================
--- www/vignettes/pomp.pdf	2015-03-24 16:24:30 UTC (rev 1149)
+++ www/vignettes/pomp.pdf	2015-03-24 19:32:50 UTC (rev 1150)
@@ -11,7 +11,7 @@
 -² ŒÆ“Ž
 !ÔWÖ
O ûpÀȨ<I¿H’‰lÌF€‰ìJØS„dGMDHv!ƒ‡§ÈÐ|™º¯\@£1R

 EHv¿r)Á‚!9Û†4‹SBGP Êd±0PA&쩉ÉÞÁÈÈ=™t"W44eINaÕßþñ!ŸWõè`TpYÁ«ö„|yVO'³j	‡Êç¯FG8±ÍÉëßN+!ïáéüH|ÿ}–qoQêÉ|vTWâÛû×%T``
-%Ì+Ý.í7eùÍ-®7_ˆo÷F§ÇâYõiRÍpùùüàKO¾ZÌÎÆ}ôê™xt<_ÖËñbrZ‹T”^Oê)$<žç³å|
+N—ÎÝ.í7eùÍ-®7_ˆo÷F§ÇâYõiRÍpùùüàKO¾ZÌÎÆ}ôê™xt<_ÖËñbrZ‹T”^Oê)$<žç³å|
 |·Vèæg³šQ>,ÅÏäœÔ—ÿÚ¦×1ÿ…‰7G¸6SsUç£Q|×ò±9X®æ_v|ô|äÇ=a|Mc|›Ûl®’6ǦÍPtÛ(Ÿ¾mš§µe¡\« k!y¾Ü Ñ^ñ±EÖœ®Í¢cÓ¤áþFjø>‘\¿­gù9ËzH|š¸ZsÊZ3ŒÅpMàòåȍ&¶’•ÎGË]³\_³ÒM«6Õª•«5X-c³Üªã>9V7xŸ1yð"kî}덳°åÝ™Íæ5YœaðlU¬¨Ä“-ù¨ø¨ùÈõ­å£ã£çcà#ËcÍ&™Ës,UËs,ϱ<6‹äXžcyžåñ%Ïò<Ëó,ϳ<ÏòX9ɳ<ŸZeÝ›ÏêjݤÔÜLFw矡-jÍÃÈï=©tª-
íUËùÙb%“†|®í×D)4 åCˆÆ“ˆc¼_Ր*_݈Qª>×úý÷Ý
[g
 x–|8Y,ÁŒg#”“i:ÇUïWKÚ\“?½ûÑjA¦,&¦ÙÙtJð_P‹‰í«íS+³ÖéüäôöéhüXnmN;8Ì)°òÙO[l
 ¬üÐÖgåÌXöBh¢êûìÕá¼ßìŠÛFU—à ö]£ñ×±™\vŠÖ'b{´}ðÕPúvkúö×è@–H«¶«UwCPf P¾*Ü”Tì‚J7å†
µÆ¤×"Ò•S0Y1Wm8n×ÚÂM­-ªkmá:Öv®Ãا¼¦Mžœ<5\'sÿÎÁf–°ÆtñFH«dŠf†f*e]ï…hºYëÄ
@@ -32,7 +32,7 @@
 :©í<Í*„EôéÙ
 m^	Óÿà Ú¾à	ÑPÚ
 é(û$ºÔ
w]®•×ÜñÇŽò§vµ'zuàü2meJc2D`oiJ¢­Y}3ɹäŸ9mäg4{¶ìm·;l(az|
-itì
EK&”]3*MS(}þPížûk‹È"¿#cTQ#ñý˜vÏüut9Èh1Mšû ®’iNLç ¦dsE£úS]úÊÁ)‚¾èGK„GòàvMGÿR=¥œrµ¶§N)Øå_¦¯>¦eQvâY]ô}ïn.5ZV—¼r½?9<¬ÕŒ´¦×‡ü2Þ[ßV½¾<ø]çåí—8ß8hCühÌF±¶=èk÷¡Wü
£öyîendstream
+itì
EK&”]3*MS(}þPížûk‹È"¿#cTQ#ñý˜vÏüut9Èh1Mšû ®’iNLç ¦dsE£úS]úÊÁ)‚¾èGK„GòàvMGÿR=¥œrµ¶§N)Øå_¦¯>¦eQvâY]ô}ïn.5ZV—¼r½?9<¬ÕŒ´¦×‡ü2Þ[ßV½¾<ø]çåí—8ß8hCühÌF±¶=èk÷¡Wü
¤yîendstream
 endobj
 101 0 obj
 << /Subtype /XML /Type /Metadata /Length 1340 >>
@@ -41,12 +41,12 @@
 <?adobe-xap-filters esc="CRLF"?>
 <x:xmpmeta xmlns:x='adobe:ns:meta/' x:xmptk='XMP toolkit 2.9.1-13, framework 1.6'>
 <rdf:RDF xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#' xmlns:iX='http://ns.adobe.com/iX/1.0/'>
-<rdf:Description rdf:about='uuid:a1f18bbc-0a4b-11f0-0000-029d605e128c' xmlns:pdf='http://ns.adobe.com/pdf/1.3/' pdf:Producer='GPL Ghostscript 9.05'/>
-<rdf:Description rdf:about='uuid:a1f18bbc-0a4b-11f0-0000-029d605e128c' xmlns:xmp='http://ns.adobe.com/xap/1.0/'><xmp:ModifyDate>2015-03-24T10:07:19-04:00</xmp:ModifyDate>
-<xmp:CreateDate>2015-03-24T10:07:19-04:00</xmp:CreateDate>
+<rdf:Description rdf:about='uuid:71274c78-0a77-11f0-0000-029d605e128c' xmlns:pdf='http://ns.adobe.com/pdf/1.3/' pdf:Producer='GPL Ghostscript 9.05'/>
+<rdf:Description rdf:about='uuid:71274c78-0a77-11f0-0000-029d605e128c' xmlns:xmp='http://ns.adobe.com/xap/1.0/'><xmp:ModifyDate>2015-03-24T15:20:55-04:00</xmp:ModifyDate>
+<xmp:CreateDate>2015-03-24T15:20:55-04:00</xmp:CreateDate>
 <xmp:CreatorTool>Raph Levien</xmp:CreatorTool></rdf:Description>
-<rdf:Description rdf:about='uuid:a1f18bbc-0a4b-11f0-0000-029d605e128c' xmlns:xapMM='http://ns.adobe.com/xap/1.0/mm/' xapMM:DocumentID='uuid:a1f18bbc-0a4b-11f0-0000-029d605e128c'/>
-<rdf:Description rdf:about='uuid:a1f18bbc-0a4b-11f0-0000-029d605e128c' xmlns:dc='http://purl.org/dc/elements/1.1/' dc:format='application/pdf'><dc:title><rdf:Alt><rdf:li xml:lang='x-default'>Inconsolata</rdf:li></rdf:Alt></dc:title></rdf:Description>
+<rdf:Description rdf:about='uuid:71274c78-0a77-11f0-0000-029d605e128c' xmlns:xapMM='http://ns.adobe.com/xap/1.0/mm/' xapMM:DocumentID='uuid:71274c78-0a77-11f0-0000-029d605e128c'/>
+<rdf:Description rdf:about='uuid:71274c78-0a77-11f0-0000-029d605e128c' xmlns:dc='http://purl.org/dc/elements/1.1/' dc:format='application/pdf'><dc:title><rdf:Alt><rdf:li xml:lang='x-default'>Inconsolata</rdf:li></rdf:Alt></dc:title></rdf:Description>
 </rdf:RDF>
 </x:xmpmeta>
                                                                         
@@ -2607,7 +2607,7 @@
 %ª¯{ÿ
PÆÉÙendstream
 endobj
 1091 0 obj
-<< /Type /XRef /Length 436 /Filter /FlateDecode /DecodeParms << /Columns 5 /Predictor 12 >> /W [ 1 3 1 ] /Info 3 0 R /Root 2 0 R /Size 1092 /ID [<1654c5e3a24271b3b3682c1ec6893f4a><0c9132f9484649268e66406e7f421aef>] >>
+<< /Type /XRef /Length 436 /Filter /FlateDecode /DecodeParms << /Columns 5 /Predictor 12 >> /W [ 1 3 1 ] /Info 3 0 R /Root 2 0 R /Size 1092 /ID [<25a48ba635e277ad025f5ef26ba3c7f2><6bf50825d4ac84ee13149a7cf8900a7e>] >>
 stream
 xœí–M(DQ€ß›É<ógüNÙPRÊ‚,LI©AY(vDe”üÂìì&’š•d!¥Fa¡	¥”Ø‘˜óYØë.Ï[|Î=÷ÜóÞýÏeÉã²-+ß,—$l¥Ò ¿­Ðåz:ö,‹]/nµKiÒ®’ýõ´W©=õJiÒ«Šñêz^½Ršôª&)^%WÔ+¥I¯"âÕÑ‹z¥4éU´G¼Jè»Ò¨WýâÕΗz¥4éUwL¼Ú¸S¯”&½´Ä«xŸz¥ü?c÷›éØ;'þ8qaf=¬z‰VÃBÏ0ù&aF%«ýp€|•#d¢ÔGàjšvá»Ä¥“B»QNÁ2œUÜ+þö|†ÊèLÆ9¥Û!«Â@ãß<¾Q¡ÿ“x‰žr–?K¾AèNÀjv]pV’ú3âUV™Ðÿ Û9‘7õ?qî8“¬ÑH˜}%Ì*`µ‹Êcf;ôߦfšø–šr™-p@&ô1ëLlæ1aˆç‘žÜH 6Ó󜚡«Ž<³ï‹ÛñT1m®0g—zÙk;œÈöM¿Ò!Æ^ÞÚÏ·uò¬&—d@
 endstream

Modified: www/vignettes/pompjss.R
===================================================================
--- www/vignettes/pompjss.R	2015-03-24 16:24:30 UTC (rev 1149)
+++ www/vignettes/pompjss.R	2015-03-24 19:32:50 UTC (rev 1150)
@@ -11,7 +11,7 @@
 require(reshape2)
 require(xtable)
 
-stopifnot(packageVersion("pomp")>="0.62-5")
+stopifnot(packageVersion("pomp")>="0.63-4")
 
 
 ## ----set-opts,include=F,cache=F------------------------------------------
@@ -58,6 +58,7 @@
 
 ## ----set-seed,cache=F,include=F------------------------------------------
 set.seed(5384959L)
+options(cores=10)
 
 
 ## ----bake,include=FALSE,cache=FALSE--------------------------------------
@@ -271,7 +272,7 @@
 
   require(doMC)
   require(foreach)
-  registerDoMC(10)
+  registerDoMC()
 
   save.seed <- .Random.seed
   set.seed(334388458L,kind="L'Ecuyer")
@@ -399,7 +400,7 @@
   tic <- Sys.time()
   require(doMC)
   require(foreach)
-  registerDoMC(5)
+  registerDoMC()
 
   save.seed <- .Random.seed
   set.seed(334388458L,kind="L'Ecuyer")
@@ -427,11 +428,11 @@
 rm(pmcmc1,save.seed,tic,toc)
 })
 
-## ----pmcmc-diagnostics,results="hide",fig.show="hide",echo=F,eval=F------
-## gelman.diag(pmcmc.traces)
-## gelman.plot(pmcmc.traces)
-## autocorr.plot(pmcmc.traces[[1]])
-## hist(rle(unlist(pmcmc.traces[,"r"]))$length)
+## ----pmcmc-diagnostics,results="hide",fig.show="hide",echo=F,eval=T------
+gelman.diag(pmcmc.traces)
+gelman.plot(pmcmc.traces)
+autocorr.plot(pmcmc.traces[[1]])
+hist(rle(unlist(pmcmc.traces[,"r"]))$length)
 
 ## ----pmcmc-plot,echo=F,eval=T,results="hide",cache=TRUE------------------
 op <- par(mar=c(4,3.5,0,1),mfcol=c(3,2),mgp=c(2.5,1,0),cex.axis=1.5,cex.lab=2)
@@ -568,7 +569,7 @@
   require(magrittr)
   require(foreach)
   require(doMC)
-  registerDoMC(10)
+  registerDoMC()
 
   rbind(guess=guess,
         truth=coef(ricker),
@@ -644,7 +645,7 @@
   tic <- Sys.time()
   require(doMC)
   require(foreach)
-  registerDoMC(5)
+  registerDoMC()
 
   save.seed <- .Random.seed
   set.seed(334388458L,kind="L'Ecuyer")
@@ -668,11 +669,11 @@
 abc.traces <- conv.rec(abc1,c("r","sigma","tau"))
 abc.traces <- window(abc.traces,start=2000001,thin=400)
 ess.abc <- effectiveSize(abc.traces)
-rm(abc1,save.seed,tic,toc)  
+rm(abc1,save.seed,tic,toc)
 })
 
 
-## ----abc-diagnostics,results="hide",fig.show="hide",echo=F---------------
+## ----abc-diagnostics,results="hide",fig.show="hide",echo=FALSE,eval=TRUE----
 gelman.diag(abc.traces)
 gelman.plot(abc.traces)
 autocorr.plot(abc.traces[[1]])
@@ -728,7 +729,7 @@
 bake("nlf-mif-compare.rda",{
   require(doMC)
   require(foreach)
-  registerDoMC(10)
+  registerDoMC()
 
   save.seed <- .Random.seed
   set.seed(816326853L,kind="L'Ecuyer")

Modified: www/vignettes/pompjss.Rnw
===================================================================
--- www/vignettes/pompjss.Rnw	2015-03-24 16:24:30 UTC (rev 1149)
+++ www/vignettes/pompjss.Rnw	2015-03-24 19:32:50 UTC (rev 1150)
@@ -122,9 +122,6 @@
 %% Telephone: +43/512/507-7103
 %% Fax: +43/512/507-2851
 
-%% for those who use Sweave please include the following line (with % symbols):
-%% need no \usepackage{Sweave.sty}
-%% publication information
 %% NOTE: Typically, this can be left commented and will be filled out by the technical editor
 %% \Volume{50}
 %% \Issue{9}
@@ -148,7 +145,7 @@
 require(reshape2)
 require(xtable)
 
-stopifnot(packageVersion("pomp")>="0.62-5")
+stopifnot(packageVersion("pomp")>="0.63-4")
 
 <<set-opts,include=F,cache=F>>=
 options(
@@ -193,6 +190,7 @@
 
 <<set-seed,cache=F,include=F>>=
 set.seed(5384959L)
+options(cores=10)
 
 <<bake,include=FALSE,cache=FALSE>>=
 bake <- function (file, expr) {
@@ -231,7 +229,7 @@
 In particular, when linear, Gaussian approximations are adequate for one's purposes, or when the latent process takes values in a small, discrete set, methods that exploit these additional assumptions to advantage, such as the extended and ensemble Kalman filter methods or exact hidden-Markov-model methods, are available, but not yet as part of \pkg{pomp}.
 It is the class of nonlinear, non-Gaussian POMP models with large state spaces upon which \pkg{pomp} is focused.
 
-A POMP model may be characterized by the transition density for the Markov process and the measurement density\footnote{We use the term ``density'' in this article encompass both the continuous and discrete cases.  
+A POMP model may be characterized by the transition density for the Markov process and the measurement density\footnote{We use the term ``density'' in this article encompass both the continuous and discrete cases.
 Thus, in the latter case, i.e., when state variables and/or measured quantities are discrete, one could replace ``probability density function'' with ``probability mass function''.}.
 However, some methods require only simulation from the transition density whereas others require evaluation of this density.
 Still other methods may not work with the model itself but with an approximation, such as a linearization.
@@ -547,7 +545,7 @@
 In \cref{alg:pfilter:systematic} of \cref{alg:pfilter}, systematic resampling (\cref{alg:systematic}) is used in preference to multinomial resampling.
 \Cref{alg:systematic} reduces Monte~Carlo variability while resampling with the proper marginal probability.
 In particular, if all the particle weights are equal then \cref{alg:systematic} has the appropriate behavior of leaving the particles unchanged.
-As pointed out by \citep{douc05}, stratified resampling performs better than multinomial sampling and \cref{alg:systematic} is in practice comparable in performance to stratified resampling and somewhat faster. 
+As pointed out by \citep{douc05}, stratified resampling performs better than multinomial sampling and \cref{alg:systematic} is in practice comparable in performance to stratified resampling and somewhat faster.
 
 \pagebreak
 
@@ -623,7 +621,7 @@
 \item It preserves the plug-and-play property, inherited from the particle filter.
 \end{enumerate}
 Iterated filtering is implemented in the \code{mif} function.
-By default, \code{mif} carries out the procedure of \citet{ionides06}. 
+By default, \code{mif} carries out the procedure of \citet{ionides06}.
 The improved iterated filtering algorithm (IF2) of \citet{ionides15} has shown promise.
 A limited version of IF2 is available via the \code{method="mif2"} option;
 a full version of this algorithm will be released soon.
@@ -1210,7 +1208,7 @@
 
   require(doMC)
   require(foreach)
-  registerDoMC(10)
+  registerDoMC()
 
   save.seed <- .Random.seed
   set.seed(334388458L,kind="L'Ecuyer")
@@ -1315,7 +1313,7 @@
     The first three columns show the estimated values of the three parameters.
     The next two columns show the log likelihood, $\loglikMC$, estimated by SMC (\cref{alg:pfilter}) and its standard error, respectively.
     The exact log likelihood, $\ell$, is shown in the rightmost column.
-    An ideal likelihood-ratio $95\%$ confidence set, not usually computationally available, includes all parameters having likelihood within \code{qchisq(0.95,df=3)/2 = 3.91} of the exact MLE. 
+    An ideal likelihood-ratio $95\%$ confidence set, not usually computationally available, includes all parameters having likelihood within \code{qchisq(0.95,df=3)/2 = 3.91} of the exact MLE.
     We see that both the \code{mif} MLE and the truth are in this set.
     In this example, the \code{mif} MLE is close to the exact MLE, so it is reasonable to expect that profile likelihood confidence intervals and likelihood ratio tests constructed using the \code{mif} MLE have statistical properties similar to those based on the exact MLE.
     \label{tab:gompertz-multi-mif-table}
@@ -1366,7 +1364,7 @@
   tic <- Sys.time()
   require(doMC)
   require(foreach)
-  registerDoMC(5)
+  registerDoMC()
 
   save.seed <- .Random.seed
   set.seed(334388458L,kind="L'Ecuyer")
@@ -1391,7 +1389,7 @@
 ess.pmcmc <- effectiveSize(pmcmc.traces)
 rm(pmcmc1,save.seed,tic,toc)
 })
-<<pmcmc-diagnostics,results="hide",fig.show="hide",echo=F,eval=F>>=
+<<pmcmc-diagnostics,results="hide",fig.show="hide",echo=F,eval=T>>=
 gelman.diag(pmcmc.traces)
 gelman.plot(pmcmc.traces)
 autocorr.plot(pmcmc.traces[[1]])
@@ -1624,7 +1622,7 @@
   require(magrittr)
   require(foreach)
   require(doMC)
-  registerDoMC(10)
+  registerDoMC()
 
   rbind(guess=guess,
         truth=coef(ricker),
@@ -1711,7 +1709,7 @@
   tic <- Sys.time()
   require(doMC)
   require(foreach)
-  registerDoMC(5)
+  registerDoMC()
 
   save.seed <- .Random.seed
   set.seed(334388458L,kind="L'Ecuyer")
@@ -1733,10 +1731,10 @@
 abc.traces <- conv.rec(abc1,c("r","sigma","tau"))
 abc.traces <- window(abc.traces,start=2000001,thin=400)
 ess.abc <- effectiveSize(abc.traces)
-rm(abc1,save.seed,tic,toc)  
+rm(abc1,save.seed,tic,toc)
 })
 
-<<abc-diagnostics,results="hide",fig.show="hide",echo=F>>=
+<<abc-diagnostics,results="hide",fig.show="hide",echo=FALSE,eval=TRUE>>=
 gelman.diag(abc.traces)
 gelman.plot(abc.traces)
 autocorr.plot(abc.traces[[1]])
@@ -1832,7 +1830,7 @@
 bake("nlf-mif-compare.rda",{
   require(doMC)
   require(foreach)
-  registerDoMC(10)
+  registerDoMC()
 
   save.seed <- .Random.seed
   set.seed(816326853L,kind="L'Ecuyer")
@@ -2037,12 +2035,12 @@
     \prob{\dlta{\cp{R}{\BirthDeath}(t)}\myequals 1 \given S(t), I(t), R(t)} &= \mu\,R(t)\,h+o(h),
   \end{aligned}
 \end{equation}
-together with statement that all events of the form 
+together with statement that all events of the form
 \begin{equation*}
-  \{\dlta{\cp{A}{B}(t)}\,{>}\, 1\} \qquad \text{and} \qquad \{\dlta{\cp{A}{B}(t)}\myequals 1,\dlta{\cp{C}{D}(t)}\myequals 1\} 
+  \{\dlta{\cp{A}{B}(t)}\,{>}\, 1\} \qquad \text{and} \qquad \{\dlta{\cp{A}{B}(t)}\myequals 1,\dlta{\cp{C}{D}(t)}\myequals 1\}
 \end{equation*}
 for $A$, $B$, $C$, $D$ with $(A,B)\neq (C,D)$ have probability $o(h)$.
-The counting processes are coupled to the state variables \citep{breto11} via the following identities 
+The counting processes are coupled to the state variables \citep{breto11} via the following identities
 \begin{equation}\label{eq:sir-cp-bal}
   \begin{aligned}
     \dlta{S}(t) &= \dlta{\cp{\BirthDeath}{S}}(t)-\dlta{\cp{S}{I}}(t)-\dlta{\cp{S}{\BirthDeath}}(t),\\

Modified: www/vignettes/pompjss.bib
===================================================================
--- www/vignettes/pompjss.bib	2015-03-24 16:24:30 UTC (rev 1149)
+++ www/vignettes/pompjss.bib	2015-03-24 19:32:50 UTC (rev 1150)
@@ -56,7 +56,7 @@
 }
 
 @Article{andrieu10,
-  Title                    = {Particle {M}arkov Chain {M}onte {C}arlo},
+  Title                    = {Particle {M}arkov Chain {M}onte {C}arlo Methods},
   Author                   = {Andrieu, Christophe and Doucet, Arnaud and Holenstein, Roman},
   Journal                  = JRSSB,
   Year                     = {2010},

Modified: www/vignettes/pompjss.pdf
===================================================================
--- www/vignettes/pompjss.pdf	2015-03-24 16:24:30 UTC (rev 1149)
+++ www/vignettes/pompjss.pdf	2015-03-24 19:32:50 UTC (rev 1150)
@@ -3210,260 +3210,278 @@
 /Height 900
 /BitsPerComponent 8
 /ColorSpace /DeviceGray
-/Length 47112     
+/Length 46531     
 /Filter /FlateDecode
 >>
 stream
-xÚ읜ÔDÆs…JT,(6ÅÞ° bE?D±±"¨¨ ‚ØQ¬`Ç‚{EÅ‚¢  ‚"E
©JïwÜÝóÍd³»é™l9.»Ïÿ§\2If³“ì“ÉÌ[4B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„Bò‚«è4fKBHî0:{°%!„ÚN!„ÚN!„ÚN!„ÚN!„ÚN!ªøÚ¯k–N´³XÓ̺æíµ:?{Íú9_8»‘åÀؾkÅR›A¿üWò÷7×oÛÐúî‰J—O{椂ø®[Çö],w8aÁÆYŸ÷ÜÊq"uÎ>iAéŠ?_ëÑÀCÇ÷zþç
-œÚ^.¬å•%„ä1‡Î4Ä°b`¡‹¶×¾iER/7=±‹¶×y<±ýÆBM«ÿ|bÿŸ÷°k{ámåñ}·<A´ê7¬N·áц.Ú^}˜<vÀ)V
-¯Km'„;}Ê“røv±CÛ÷ÿǪ˜ëÏwh{ý‰¦í/4ûË´ºf_«¶Œ0mü«é<vúÃò9ÿµsh{ñ[ú_j;!„qE°kû)ëšy[UÛ7þhÙÜgšeuN-‹¶÷´l\²kâ<öX`û˜Ò3ìÚ>ÔvBQ¡½Mg[µ}ï.¢Ùͪí
\gÖö%֍3kUÕýËqà†ƒ­Ú~zµBT¨5Ë]
-m¯“')ùã—5	ÑÜ5Œ¶ÿ`Öv·UÅGìç¾ÞèBcyFM‹¶ÿn8ä›o¾Y[þQ,ŠƒZߘXfì·œ——’§ÜlèàŠžÛ·è¿Þ®í7«ëzo©iÕ;LJÞGÚµ}Äé»ì{͉ÕU}ŽÜñ¨•ò:Vm¯x¼uµ-;NŠÇ׏È«ý‹ÅJµþáŸn}0Ó8¿Ò¥Æ~çðòBò“¢9Æ0ø.újëÿ¬Ú^}~lmå>±ÝM5äzG«¶wÕ×v‰ÍÏÜA_¿ÍXÝÙ¢íe§Æª~ÝX¿L_5†ÒGçÕ'¶º°ºUÛW>ïÀæìâ«í;þkì|///!$Oé`èàñÆú‘Vm?ÓXKÌjîl¿ßmÑöŒ­Ïë'ÇV«è¶m¿Ùع¦1å:V_Y³ŠlæüÛØÁ¢í“Lö—^Ú^gŠ±óGE¼¼„<剘þ’°|aÑö§b+ß&6kƒc%ß[´½ƒ±ñ:Ã2&¾»ÑËß߬íójÄ«:Ý¢©'–‹-’øœ~±‚f_ÓLÔö·ŒÏùcK^]BH¾2Ù<."9Ô¢íSÍC.:­ûÄZfmßÉØØ#¶úY|çI.Ú~O¢ªbcðä(±|ClñûÅh³Ž?¥kû€øèÍn¼¸„|¥Žá¶”ôþ/XlÒöZ†P65bØ°hÖö"«¶?ã§í'$«z;Vr£X|#¶xZb[óXÁj³ŽwÖöø Rù	¼¸„¼¥…a“sÑ>2iûv±åEæC>1©JªYµ}¨Ÿ¶ï®ÙÇw‹c¼(k™tü˜@moŸÍ½ž×–’¿`ŒM›Šž0iûÞ±åÉæCž7Ó¤ íµ’UÃóÃÅâ¯^ÚÞ̤ã-ƒ´½é<㨗
-xm	!ùË	1)üÒTtIÛ7Y²Ä1Œ{¦¨í+(ï‰Åy^ÚÞÚKÇ]ÊjŒ5ú±&/-!$9Ú°-4=Ðo6Vviªýv“ìžot²Åâ_^Ú~„º¶<g³¨¯,!$Ÿic„\4½êo_h>äC#¶KªÚž¦õNŽ·{Žm§¥º¶Ç£•ÌKÉkv4ä°N²è÷ ;#Zãá©jûqɪ^N:3}aq¢¤íÇ—Û#™BH~R´6&‡'9Ô¾®Yè/HaØ·—o™ª¶'MØ‹%Í_·:A¥ í»Åˆæe%„ä;ßؼâS©†¶‹­ŒIš±ŒÐ§ íU‹o=͈/#?êœØò•)k{ýx\‚/ŠyU	!ùN\ʍX`Ú®,Ú~6Ì£ë‚=Œ1¤¬íèml¬e„#W¶-OœØN£tžÒö=OÚg5äE%„ä={’8=智ýLk¬°Æ°É
-c ¼écHfçÔµ}SÌe´ÆHcý\}õ«ØJÇøxá"Õ7HÛcþ±ÚƒñˆÁ{ñšBˆ6ÞÅù6*Ú©ÏJ{üö[âÙ8zn!äø\Cêñš–º¶£ü‘=«mqúÏñ¬z±ØaFà°õ—êϘQ†5|Om7zý=bkk]
-({ðúBò“’JXá’w©îŒxÁÆiɼK«Z¤£í֏2âýO¯úÔ­}b$ÏÃUš§¶O0ÎÜßs`
-j;!„Xá›SOÛ·Äeã™ZÊÚ¾a½µª/âÓ´»9snãµBomÅr®ÔvB1Óð‹NϪíÚéìŠYq–º¶/îa©ë·F‰ºNw<E>ˆû°ºiûùÔvBñ¦‰9N×Ìm‡Ú´];h¡U0WuÔÒÑöS‡S¶6ÈÑ+-ŸSvW"q’›¶WûÚN!ÞÔ¼'>¼Whm×êô5‰îÆAL‡Þ#¾zpl5‘ïšØúvfm×
-o;nº«ºõ)ódYrÂõ=SÔÇëcõ4±ìÝ⓶1֍Óyq	!yÌ6½¾úkãÊéÃd §Ú®iµO~ü‡¿×n˜;ñ¹3ë§ú	m×´ïþqQÉœ¯{7qîté»Sÿ+[>ãÍžÛ×X«û[?¯,ù÷ÇGªó
-Bˆ?£cñ¶2 ݤí„B*—‚å1KÄŒWLm'„Ê≩:&
-ΊIð;ÔvB‰®¶6)qWýfË‘©í„1Ž3LMþí Ø/1¤ýŸ:ÔvB‰,…_Æ
-	g¿÷ü˜åÇSj;!„Dmg¸øüôËÂQÛ	!¤òØæK»²¯¾<ŸCm'„J¤ð²éez»¬|µB*•‚Ãn{ïÏ%Ê–ýõõ Îu²ô!ÔvB!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„BH¡ðÊa„B|‰ž¶_B!þDOÛæE#„\Ôö‰÷Bñdb4µýaÎ:BˆŸNRÛ	!„ÚNm'„j;µB¨íÔvB¡¶B¡¶BµÚN!Ôvj;!„PÛ©í„Bm§¶BµB¨íÔvB¡¶SÛ	!„ÚNm'„j;µB¨í„B¨í„Bm§¶“üâíÙ„ÚNm'9F¬Þ‰­@¨íÔv’[ü te+j;µä¿=Ù
-„ÚNm'¹Å<àv¶¡¶SÛIn±xˆ­@¨íÔv’[” ϱµÝ•:gÜ8ô™ç7¦¶“¨QÀ[lBm×)Øý¤‹:¶-6Öêß¾:埶¡¶“hÑPܸ£Ù„Ú.¨Ùg¦.åón,’«Í¦!AÅ "j;‰Û‹Ûv›PÛ5­Õì„”¿]SÓšÿ3ïT£¶“ÑRÜ´3Ù„Ú®í¿Â¤äo|¥/”-˜¿)VtµDˆÄ=û›PÛ·´vÓ/ì*ÿ}¢èÀ×8î#½èj;‰G‹[¶”Í@¨íIù^~_§ÝZ]2E,­ù(¿ªÀØxAiæ&¦¨í¤28UÞÐuØ$ßµ½þ9õÔD_.z4Öwï›ÜÜC®ïCm'‘¡‹¼e·e;|×öóÄ¡dWc¥HöÜ1ÃdS0QÜDm'‘áRyïÉv ù®íÏŠƒ‰µcäy{7QðµD†ëä=|ہ件?„ãkÅ%buoóöídGžÚN"íRÛOd;|×ö⇰CruªXÝÒ¼½ XIm'‘á^©íç°H¾kû?â‡P/¹:F¬Ö°ì°(¡¶“Èð˜Ôöl’ïÚ.gO÷K®.¶Û‹‚Ôvž—Ú~3ہ件s²Æòwqªy»ôò›Lm'‘áMyßËv ù®íýÄaJ< ¤v¿ü]¼`Þ~Ÿ(Fm'‘AöVðہ件ïo¶zÜ[º¡bÓnÉÍÛ¬©í$2|+ïál’ïÚ^ð½Œä;Púht_óKýµA|kݱ2 A=j;‰?Ë[ø¶Éwm×Úër^:eÄ7+åÂ׋¦Ûv€î§Ú?SçLm'ÙGZõbہ佶kƒÌa —5k®wÞ'¼ô’
cõ¢™[PÛItX oÚilBm/–”öõÇiZ/KÌ_lØ7cçLm'Ùg2f¶KH¤µ]+¸d‰¡ãK–«ÌÒþß!™;gj;É:eò¶]ˆ ÔvA½ó^Ÿ4»×Ž­^±:™Qo§ž3µdÚ±·[‚P۝Ôï7uP1ëáƒ2zÎÔv’u¶Ši{c¶¡¶»R¸m³âLŸ3µdD§¤hÁ– ÔöJ;gj;É:­µË€¶l	Bm§¶“Üá`ñlàX¶¡¶SÛIîp0ëgàl	Bm§¶“Üát`ÊWÀÅl	Bm§¶“Üá|`ì»@o¶¡¶û°ý 	µD†Àg/ w°%µÝ=°ògUë÷¦3ÇxåH–¹
x[t#aKj{Æ´ýJ0WŽd™
Àpñÿ‹l	BmϘ¶w
-Òö9¼r$Ë<<Ñx—-A¨íÓv휛|X üÌ+G²Ì“Àý
_³%µÝ‡¯K2S×ÏÔv’}^nÿ_¦ò·’«ÚžI¨í¤xè}ð[‚PÛ©í$wø¸|?`9[‚PÛ©í$wœ×(+`Sj;µä¿
Ø‚MA¨íÔv’3ȐÅÀöl
-Bm§¶“œa	p¶hͦ Ôvj;ÉÖ
­´ùÀál
-Bm§¶“\¡¨h®MNa[j;µä
-õô<Øã€óÙ„ÚNm'¹Â6BÛkjW±-µÚNr…]Mšö*ЏmA¨íÔv’+ì¬Ô†=À¶ Ôvj;ÉŽ ækÚ=À0¶¡¶SÛI®ÐAÏ sðÛ‚ä·¶ïÝ%j;‰
-g“bISÙ$¿µý.Cm'QáB`Œ¦u
&°-µÚNr…«ã#3„䳶w^Hm'¹ÃÍúHû!À"¶Éom׊Ž}¡ŒÚNr„;ç4­%°mAò\Û{Ï•
->ª®ÔvC4m[q?×`c¼×vm÷Rñ[ø(ËçLm'ÙçiàM«-îç¦lBm׆RÛIN0"m ؍A¨íZ;j;É	> zŠ?ÿ²1µ]«]Am'¹ÀWÀ%âÏLàx6¡¶kÚ,j;É~ Î&Ù„Ú®iïSÛI.0
-8Yüù¸ŒA¨íšÖoñâW¨í$òÌÚ‰?o
7°1µ½R ¶“ì³Ø_üy¸“A¨íÔv’#” {ˆ?
±1µÚNrƒj ¶o^fkj;µä
-„¶×¯>`kj;µäÛm/»ß²5µÚNrƒ–ÀFù·#ð[ƒPÛ©í$78 X*ÿ¶æ²5µÚNrƒ£€9òï>À*¶¡¶SÛInp
-0UþmT±9µÚNr‚.Àòo}Ã^†j;µDŸK/åßÂr 9›ƒPÛ©í$'¸x__X	´asj;µäý€Wõ#f!Ôvj;‰>÷ Ãô…_€ŽlBm§¶“œàQ`°¾ð-ЕÍA¨íÔv’<Ô> ®esj;µäo7é/
·³9µÚNr‚O€«ô…Ç€‡Ø„ÚNm'9Á ›¾p'ð,›ƒPÛ©í$'ø	è¤/Ü ¼Åæ Ôvj;É	þNÐ.¾`sj;µä€Ãõ…ÎÀD6¡¶SÛIN5p<0#íÚêÝw
›”PÛ©íd³Sì¢/ü›vmÃPqÛ”PÛ©íd3SÀ6úÒî@IÚÕý|ÌF%Ôvj;ÙÌl%´½®¾ÔT,ÕN³¶=D›š²U	µÚN6/;
…úR
-¡ËÛ¦YÛ•¢\ÉV%Ôvj;Ù¼´Ö‹€–iÖ6RjûwlUBm§¶“ÍËÁÀbcqpHz•.•Ú^ÑœÍJ¨íÔv²YiÌ6§Ò«lo`ÓßÀõlVBm§¶“ÍÊéÀ/Æâ Kz•õÆÞLf³j;µlVÎÆ‹£€éUö!0°€=Ù®„ÚNm'›“ÀgÆâñHî©Rm5p´6	¸ƒíJ¨íÔvkÆ{7›\¼c,>
-Ü“V]ji}€?Ø®„ÚNm÷å!¬ÚŽ7o¹xÉX| x"­ºn¾Ò´+€}Ù°„ÚNm÷{Ë_œË›7‹AÒX켚V]Ÿ·‰?cûÙ°„ÚNm÷áX =yóf‘'ŒÅ«ÒŒSkCÌ@þ
-`A[–PÛ©íÞ<"´ýNÞ¼Yä% ¿±x^Òd&%ŽV‹¿KvlYBm§¶{3[hûS¼y³È;IW£S€©éT5øH_øÊ–%Ôvj»'{Jö‘¼y³ÈgÀåÆâáÀütªLt–UgÓj;µÝ‹›¤¶Í›7‹ŒÎ3[kÒ¨©Þ¦¸}L½õÀIlZBm§¶ûôÓ' 
üœn,n/»Zê5ü‹¬½¼Ì¦%Ôvj»Ë¤¶/æÍ›EfíãoÑ؍R¯é
àmc±°º6Û–PÛ©íŠÿ
-x÷fÅÀÁÆbx”¶H½¦kŒÅÚk€Nl[Bm§¶»3ÉðîÍkVñåå@Û”+jXnŠ6<É€j;µÝJ
-Ñû;m°+ïÞ¬QX
4¯ü“rMg oX€õÙº„ÚNmwã8`]­%À¡¼{³†colºßþ—rMš#‹Ëv[—PÛ©íjñ6UôÝy÷fm„¶×Š¯|Ž ‹uiríIàs¶.¡¶SÛݘ\¦}\Ì»7kì
-lJ¬¼ôJµ¢­+€“«G eMÙ¼„ÚNmwÒ¨h¦½
-ÜÈ»7k´
V%V^¤ZÑYÀ\Ójáà
-6/¡¶GSÛw›‹²å‹fÿ:éËÏÞ|eX¿z™­½ð“¦
-cÀØlr8° ±2x8ÕŠ†/š×ß²y	µ=šÚ~,LÈlíßé½È»çy÷f€?+w /¤ZÑ «yý  |{¶/¡¶GRÛŸ·j;2šþ®Q™nm}œP%Ù¢“þrdÐ;u«t¯Àš k&Óµ=ªÚþ6ð@ÛÃ۟ѹû•7õ_˜áIÏ€ùšv>0žwoÖèf:¹Xω—]Ö’;ÍO
-B¨íQÒöÑf³·Ç2÷­X²·ÀLÞ½YÃ’ké©ßo/9r­î.zò{±I¾j{­ÛÞôa0¥*·éD sbå`Eqæê–N©'Š¿mEµ¼{³ÆMÀ‰•c¿R¬g
p¦³g”Y$oµ½'ø§*·éàøÄJõ =X]Cüݨ¨ÆÛ7[4OU‹çè²Ôªôr{ɁYóFòUÛÏÒö¿«r›šb
-¾îÈ\ݏ
ïêÑ[óö̓G+-€²ÔÔø
-—7ÌíˁØÂ$Oµ];í&Tññöõ¦ÈšvsFg=gÇÇò7pØ6‹<
-Ü›Xi,ž£©9)¼<â(<È&ùªí¾Tñ¹ÔêV³Ç}E¯/cáx÷*¶Ñ—æ
Gñöͯý+Õ†ŒŠ,
::J{ÒĉPÛ#©í[	)¨kú‹×Œ³3Uw_àûØÒOæ	[’aÞz&×ÌÁÜð°iKGé1À¶0¡¶GOÛíó/fÐ…ô{ olé3&É"_—$×懧RK/W§ä=õlaBmž¶ï,7¯Ÿ,ʐaÄÖå@ëĨÁm¼}³Å@—äÚ4àäTjù ¸ÇYÚH¼×mÁ&&ÔöÈiûÑ63žÆIAN—‹’–ÖC€!¼}³…PóS’kã€óR¨¤x%pœ³¸ ”9³µ=ŠÚÞøÅRðcÆBˆ¼<f,ÞfÎçC2Ì\ËLõ'ÀU)Tr°±¶Kùà61¡¶GNÛ»ÚøÞ
-|–‘šk¬Ž9¥J®ÈT¥U‘ö'næX
-ìŸ\‘˜åEà;û·•‡PÛ#§íWZ
-Ž6ÔÎDÍÇkj˝s8æT§ò”Æ@2ÈF erí©Ô‚åòðZû¸’ÊC¨í‘Óö~öÑ’j«€™¨ùQS°Ù£­	}rŠ	À°ÍzÒ¢Ýeý^`høJª¯Ú¹mx1£žÊ„PÛ+‰b‘M¼mö`O‚y@·øJ«Üµ¤ÛE(ë'›õˆ30ù›Ý¼¾’vÀÚênîÛ܏.Bm§¶§ÂP³¿ºNwsŸÔÙ(KDžÚZÈOÜ¼'…”â·Íz2¥†)[`TøJx͈ôÞ£òj{ä´ý5à§Tìœ~Å·c“ÃÀŽ¹yOþ„ÍÀx`£iõœ”#~ÜìºáÜŒçY$„Ú^	|ì´˜û¸,ýŠÇ[Ì5Vûåä-¹S6÷;ÉþÖ¨¾'
„®£úFK8Piă'„Ú¾ùœo+zx+íz›X} fš£Äç}ô(λoÎShg¨>XºŽ]Mîö[
ë¨<„Ú9mÿ
-8ÕVt"°:íL—XÓèw>BrƒŸum?nsžÂ)À4ÓjJ`: ³Ü·¤3˜jûfd®ÓôM&_:,ÝzßN:¥J>´„*ÌvÊ·¸psžÃÙÀ¦Õf┪‡­ã
-à÷-…›€](=„Ú5m_	´±—¦Ym­5ÖA˜r4ïæÍÀo¯·VÞ'6ûgkÇ+ÒWæG³Ðö&ak}ÐÛÒqažô„PÛ+™‚r£˜­ÁT謬nÕŽ§rñŽü	¸mP¥Z€_·–\|`^O%º—xͺÉcÓdà”Bm˜¶o!:y
-í…­€ò&éÕ;ÊæÙ'ó³U–¢ùZô¬Tç¥Çì
€¤kñóú)¤8œé±‰Aµ=‚Ú.Ù‹ùÀ9iU»õ&àHsÁÅÀ׿ù®ÿÈÙ¾EFÑìd¥™UÞ¶NRî
ž6¯ÏÚ‡­uÐÖcÓp` ¥‡PÛ#¦í{¹Z¸½ ¼˜Vµ½¿,>N¦FûÞÛ˜]Íe¼âVwYåÇ`­µäQàaóú$ï>¸[YÃX¸?¥ø4„PÛ7+îÆÐ]DiZÉ—¦ØL‰ÏYí{ï<!Ýme»‰²ÝtÔÊs^š/>ÍšÖôyÛ<õhàҐ•d˾e{N¿Ké!Ôöˆiû‰®NŒ
-Ê€}Ó¨u? Âb@úÆFúÞ»EhêB[ðãÛõÐÅ…¥À•uÅâÒ˜#ú
-ް̓¾Ü²Ös‰>Û¾§ôj{Ä´ýlà—âï½¢‹¨ñ0Æö´p›³OJ¥^Ö²ßbÍ4'…
îTÙNžÆ±–"{؈çÂÛ›Þê;’Aµ=‚ÚÞøÜ¥x ðe}ËEÀåÖ¢‚Mn†y­ïÝ92×ñ)ªk™‹vGìK3E3Î6ÊÓ°ºøŽ±ùN
-¤Y<îóÚÖÚ1ÀOµ½Êkû
-ÀH—âÀ©!Ÿl¨o+[b߯Æ2̍Ì@Íd=¸@osÑmÆ¥}£—ΐgaMhû“mî´?ðRÈZ¿vÎ%$h">°.µ‡PÛ£¥í¢ƒþœ[Ï{pJÊ•¾¼i/›æŒ[#íèÓÖ¯T–B
—˜Ÿx¿#Wƒ*Ñ’ä©í³mº-QVOàýµÎõU*,ZP{µ=ZÚþ(0Ø­\tEŸHµÎ’I°Í=Ëíe';º U—ºâ\÷Xné ‹GSEsCL?®¬ó¸Ojû–¢ùÀáæõnŽÙŽ j”Í=·2è ¡¶GOÛ_ú»•_œÆÚåÀÂ"{áH§ö+6{::uö J
-û+“fàwÄç¡+Óyé©íVÇT{H Ž¡OgwñåŠ<·2è ¡¶GOÛßuØ~ÄhV‘zô¿qÀ GáSÀö²{„L­©Ëx<0[Ûb™9ŠÚô¸­¡Ÿux¦ùZj»5o™íRÌ	WéI_W3£€+¨=„Ú-mÿÊe¨Dgª3“z'­¥wÏÛË^–:‘×ýK€ot#÷5[%­Šíõ¥m+q¶q†l3K|öZ¢`sAñv®Ò«½’¥ê0è ¡¶GOÛ'
\7²Tç`²³´'ð¡½lŒÔ©Û¢q /kZ%IcÁ‰D¢Òy©²2/­×ÍuÌVH[Ù“g씇3?zÈ7J'ƒj{ô´}†W®»©&_*˜å:Az>0Þ^6[ÊÔèh\Æg{4=^ûêƱ’ß“ßsžÝ(kH°
-«cjsQb‘ò†Ž¨A¼ôñÞz=ðµ‡PÛ£¥íÿºn¨¹8:•Û
›\ŸàÒ•Ý]`c­H\ÆÏcƒÎ5çÇ
-‹öIÉèIg/¬œÓhl˜k}’´²û	ñß1T­¿z½½éœçòX&„Ú^µµ}£g(”ÏbÕÐF¹·VØŠä0õšŸ •Îï†Áo`]S¹0Эá
- _圆xDÎþÞê˜z°ÄºÓ*`ŸPµ®öóÞzœg.UB¨íU”öy¸$=]‡Í©-„ål—òD7×6Æs0ðß{À]‘¸Œâ5fo½Åæ
Ë…Y&£Ês^ºcË‘Ô^ZðX˜ḉëKSÿA ÔöÈi{ïð´{¥–|é,`Um—r™ÅskkQgÑ2½€±Q¸Š
-±Î®64Ó´½Í¡.Å·ø¨rÎã6àµÇ­Ž©_­;ý
-œ¦ÒƒýÐ7­ÔÆ„ÚNmÏ 2ô®×¶À	áküÈ=ˆnàa³Œ¼xo 4
-ÁJöIô]eÇý	ݦ3ùöL`JåœÇPàÁ~VÇTçpøwÀa*õ‹ð+(*sÉ©Kµ½*k{[`©×¶¯€ËBWجÜæ Ÿ`®cd}0¤`1pr®â©ÀïÆâÅâqÔ¢`6Ð3±µò2/},>ö"à;SÑåãôk¾øm_Jñ!Ôö(iû1>¡†›}0U¹
˜åž±é' ³µäé×ùº›kÕãʤ€M^ÅòäDEåe^’9«O°°;M_é5ðpwÀ‡žAñ!Ôö(iû>¦w»x’ª|[¼Ÿ
=¬%.2¦Ì¤\Å{€gãËŠŽ»x$3Zl’¹õ*ƒEzokŽÛÛ!}ù¼ü& 	ŸóÒBm¯ÚÚÞM÷¤wçòüŠö‡Ftò
-p»C§‘#þ卫þU|ÕS­èwÝ7Ô<ì1·’œ—jV ;4¶&®~ xÒº×]¦‘
-ÿ¢2è ¡¶GMÛ¯õ‰,p"ðgØú[‡‚Í<±Ô:ÕLOHשê_Åo‹+gIi/3[ýTV楝ÅçlöL–=éˆÂv£{¿†¯¯Ó¾!	¡¶W=nÓ£¤¸ÓJ¼ú„«®ÚïùWñQ¯Z
-vJ‹ô(ÏWý«ø·9yEÁØB¤WVæ¥#€Eöü¬Ãaš/¾Qé¾~5 Ôöèiû>)8dè’Fáªë llà±í
-»9DZ±P´
S«üE,,±øïvMs­yûC•Ô³í¢ÏN|o±q|¸Þº—x¯ø1D¥'úFø\'Bm§¶ÇæX`µ-çC0#|„þd)¸06~³#P±uU¿ˆÛX
+xÚ일ÕßÆçÞK—” b X ˆŠ] ¢bëTT»@‘°»EÅ0PDDÔTP@Né†Ï{ÎììîôœÙ¸÷Îîóý wòìì™ÙgNüBÓ!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!$/èƒA!9b°"!„ÚN!„ÚN!„ÚN!„ÚN!„ÚN!Êùúä5+&ÞÑÐC3«Ÿ0ð§7¬›õÓÀkf@Œöþ~öæù?<´—ã˜ê§¼:qÁÖUÓÞ¾|j;!„¤Å¡\w²›fVíõ,¿¾º«Àîtã¸ù[–üòôþúŽoùiáÖå<×¾Àyl÷ñ¾ÚÍr…W¬H|Ά'ê¹êx‡aS‹»ö‡™%bs¸°ž·–’¿œ¹>¡†%ç9µ}·¿¬ŠùÏ^NÑ-ê·)¾{¤hü\»%¾úÝŽöcï7•µ¡‡é:šüdùœE‡:µ½ñò/µB‚8f‹I7¶´kû
Kí’¹Ü!ºÕ>0íž½mÁK¦ÕÅ;Y=ËRVÙy‰²šNµ}ÎæNvmo8ÔvBQ`‡Õ=üݦí95sYS›è~hÙýéM–Õq–cWYË*>Ð(ªÊDÇç¬kký˜‚1 ¶Bˆ
+ïÀcoÁH·ŸXEן“}k”ÕÏeßä*–SϵBT84> r{óÚ‡shû±ñõ­_ÿ˜ñµãÂhûköc?9®~ýc?Ž¯¡ïmbL°®¼¦m­Ý®]`ìëe9uV\ÛÍã41j¼kb™Iô	!$“Á-Gèk}íÚWàëb­ëkŒÕìÚ>ø¸¦Žú(9T~Ë~uZ?g¬L·{ƒ^VA_KY7ÄVfÄFçë5Ô¼Èíâ¢ífþî9Ž·—’ŸÔÛÓÁ[ì#4±ÕËbkÏŏƘmfÕëα
œ¡qUmg>xõØWâe½l¼­<uFlå$c_£u±õVmŸ|å‘ÛÕܹ¾¯¶7±¼‚·—’§œf4ÛëûZµý‚ØÊÚ†ñã®35;ÔØÛÖX&¶jµ¹‰‚o/«‰ñ^9W,ï[œ¸°
±
+·Z´ý¹*É+÷Òö{žàÝ%„ä+ÄtðÄ†ï,šù|låõä	Cb[Z¶£±³ª±~¤uÕrì›É²†&E¸GlñáľS¡yó©¿iÚ^÷ø ~ï.!$_®¶hæϱ•‹’'\l6Z¶™Mp·sÓ_cå’dYÝb[ƈÅA±Å3ûv‹møÏãT/m¯òYÜ–³.o.!$o™S£N´h¦a™Ò>y±nó£6Á-ðÑöc’eµ6]Åâ—^F6ÕL§¬íOÇMdvæ½%„ä/†¹à®‰
+{Y4Óp4Ú%yBs{Ú!°¶u7mO~”Ö0¶e…Xœè¥íMM§6Ôö^ÆÖMóÖBò˜â˜ÖHl¨eÑÌûn­†aÜ’²¶›Iãñ%bq†—¶·ôÒq·m'—[Ïá%„ä3L­cÚíõc[V§¬íβVŠÅ^Ú~Dmokñà6ÞXBH^³0&†&60ÞnŒÙÌJY۝eÉñö©^Ú~˜º¶o??nŠSÀKÉk¦Á.°hæD‡L×Ø–ŸSÖvgYcÅ⏱ŽܯRIÛkýNVƒ÷•’ß¼“Ã'^³hæ‹ûv#FÁK)kû«É²[ù
bшdsBêÚ^vóﶼ­„<çF#ðn-c}»-ͼÐî—ÚÈÈãÑ-emO–Õx}2`AïØâõ©kû#Ɔ5­xW	!ùÎQ†"^i¬?l9°3lñdâY7vJYÛ“e½bÄ;h,–0ÌæΤ‡ÏѤíÕŒÕË♣NäM%„ä=EóŒÖnk}µK©-dÜͳ§¾–ˆÝø‰–º¶1%Œ.ÞÒ¯cfle!îû̉­_¤íÍckÇ[.”Bò›{âC%}v¬uÀ‹ŽøíÇÇ×?h¿Í6Ç$b®wHGÛña‡m¶9öS‹%LÂëhR÷«79| ËqQ]OmßlnZ]F8XOÕdŽãþîñ¼¿„ü¤ÉJÿ¼KŸ¹íY–¶[0bHÖ™ç¶óÍSÛZò.­w-û*Þ_BHžr…¯¶kM–8÷Ío¤¥®í¶òV41Ž=ªÔùAÏxkûgÔvBñ¤ðm‹>f×уþ³+梶ZÚÞÉšîú°Ä¹½ÒüvUÍ[Û/£¶Bˆ7UG˜ÔpH¡CG÷˜nÌ?LQRÐví.s«Ý䥪»Ùò9[n.Ð|´½æßÔvBñ¦àʵqÂ[
+]t´úõË“r¹äªªZzÚ®]¸11©ºåBv}+ù9Åïíîý1:»O£¶Bˆõ/5sÓê¿žl¥i…®mä“ž8gã†Ù?=Ù±ZÊ’,¸aŸænY4á‘–Žcš_óñ_ËKVL§×vÁֺ櫥[7.Ý—7BüÙ3S=Ãx&¯&„’e΋)ðTj;!„DÃrUc½ú
+µB"Ëq†â>³I©ñ²±Þ…ÚN!‘¥jÜæË“w¨Õö¢™ñ8¹YNm'„òâjWãÁS³ðIÔvB)/
+‡¸H{¿l|µBʍ¢ÇÊlʾæÒ¬|µBÊ‘öß[”ý…²ó1ÔvB)WZöö÷’MÅ+þýîñ³keëC¨í„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„B!„ÊAá5/Bñ%zÚ~)!„ø=m’7BrQÛy˜Bˆ'¿DSÛŸä¬!„øé$µB¨íÔvB¡¶SÛ	!„ÚNm'„j;!„j;!„PÛ©í„Bm§¶BµÚN!Ôvj;!„PÛ	!„ÚNm'„j;µB¨íÔvB¡¶SÛ	!„ÚN!„ÚN!Ôvj;É/Û‰u@¨íÔv’cÜ…µ»²µÚNr‹Ÿî¬Bm§¶“Üâ/ 7kPÛ©í$·˜ÜÉZ Ôvj;É-V O°µÚNr‹-À«¬Bm§¶“œ¢€÷Y
+„ÚîFýk?Ÿº~íŒÏzîHm'£¡ÐöѬBm—ìu÷„Å[ýr[3}­ÊCa°u`cj;‰;‰çöWV¡¶kZA%†”oè,Û=_ÃÄÜ}©í$J´Oí?¬Bmךþj’ò+µ*caa]j;‰‰‡ö?V¡¶[µ|ëáwÈ?ÿöÙ§N½6ýçÉåõ¨í$:#cV¡¶ß"õ{Ε»TovÉl±´LŽÏªÛWãe¹ó>j;‰§Ég¶6ëä»¶×^.~	?Äšæuˆ5Þ_-ˆï-xK¬®i at m'‘¡«|„w`=|×öî²»›±Ò¢Xþ.þ35zê­ºQÛId¸L>íX$ßµ}ˆø!<X$÷›÷?*6¼Am'‘ázùÆz ù®í‹ÂɉµSåïâóþcņ)Ôvn—ÏðI¬’ïÚ.‡Û÷H¬í)w¥íĆ¥Ôv’Ïðy¬’ïÚ.GØk&ÖjÉßEUóþj³(£¶“òàù_Åz l·;ÚíÌû³ÝN"Åkò¾™õ@ò]Ûÿ
+o?œãí$R¼'Ÿá‡X$ßµ}°ø!<“XäðUº—v2$R|.ŸáçY$ßµýB9žÞÂXÙ]·o_V+¹»ö2Ú·“H¡;à
+e=|×öZÿ‰_ÂغúrÝc~©¯$ýRåàåZú¥’èðòþœõ@ò]ÛµåOaöe;UovÉ¿biu™¤©ÛWý‡/µTnfÈgvëä½¶1ǁ,9F7žÕ»eí:­ûÍ•ËÿlCm'Ña¡|h§²HÞk»¶íD“¶÷ÔªýÂøí$¬‘OíBÖ¡¶kužç]ZßE¬6üK$²èózV¡¶ö¼gâÒ­‹½-µê›©:žf¾T)jŞܪ¬	BmwÒ°ï—oX7óó^;fôš©í$ëlÓöƬ	Bm/·k¦¶“¬³+PV´`Mj;µäm€õ+€v¬	Bm§¶“Üá0`É,à8Ö¡¶SÛIîp<0óÿ€ÿ±&µÚNr‡3Éß—°&µÚNr‡nÀ؁¾¬	Bm§¶“Üá*àËׁ{X„ÚîÁº­°êÑUo{χ́â	Éý¢ñk‚PÛ3¦í× €i¼s$ËÜ
+ÿ
+fMj{Æ´½{¶Ïá#Yæ1`PàCÖ¡¶gLÛµónòa!ð¼s$Ë<<r1ðk‚PÛ3§í¾üµdŸ7€;ÿLbMj{9Am'åÀ@ßcY„ÚNm'¹ÃWÀ• +Y„ÚNm'¹Ãxà‚@I
«‚PÛ©í$gø8£€z¬
+Bm§¶“œAÆ€¬RìĪ Ôvj;É–‡hë€6¬
+Bm§¶“œaÐZ[ ɪ Ôvj;ÉŠÊ€æÚàTÖ¡¶SÛI®PWσ=èƺ Ôvj;ɶÚ^Cûèɺ Ôvj;Éö Š5ímà6Ö¡¶SÛI®°?°Zö(ë‚PÛ©í$W8
+X i/².µÚNr…Nz˜›€a¬Bm§¶“\¡ðk,i*ë‚ä·¶÷G0Ôv.ÆhZW`ë‚PÛ©í$Wè|™!$Ÿµ½Ëj;ÉnÖGÚ³.H~k»VãÌa¥Ôv’#ܼªi-M¬’çÚ.hû¯Tðï³|ÍÔv’} 5mñ<Wge¼×v­ùj;É	^Ô´ZâynÊÊ Ôvíj;É	†Æ¢
+l
ödej»Ö–ÚNr‚ÞâÏ2à`V¡¶k…¨í$ø¸Tüù8•A¨íš6‘ÚNrŸsÅŸ_€³Y„Ú®i¯QÛI.08Eüù¸œ•A¨íšÖyäÈû©í$òÌÚ‹?ïýY„Ú^.PÛIöY
(þ¼ÜÇÊ Ôvj;ɶ {‹?O Ï°2µÚNrƒª vïÞdmj;µä
+„¶×¯>fmj;µä;	m¯"þv~`mj;µä-ÍòïÀï¬
+Bm§¶“Üà `¹üÛ˜ËÚ Ôvj;É
+: sä߶ÀÖ¡¶SÛInp*0Eþm”±:µÚNr‚®ÀÏòo}Ã^†j;µDŸË€oäßÂR 9«ƒPÛ©í$'¸øH_X
+ìÇê Ôvj;É	nÞÖŒ˜a„PÛ©í$ú<¼¨/üœÁê Ôvj;É	žè? ÝY„ÚNm'9ÁkÀ½úÂÇÀu¬Bm§¶“œà=à&}á
+àNV¡¶SÛINð9ÐS_xx‚ÕA¨íÔv’Œ
zè÷
¯°:µÚNr‚߀ÎúBà}V¡¶SÛIN08Q_¸øšÕA¨íÔv’,ŽÔÎ~auj;µä‰P' 3Ò.­îòJ	µÚN*œ`w}á``YÚ¥½ˆ²ÓY§„ÚNm'LM ÛëK{
[Ò.n>ð+•PÛ©í¤‚ÙVh{}©©Xª•fi{‹2Š›²V	µÚN*–]²B}©ºÐåÒ,íQ®a­j;µT,m€õÆâ& eš¥
+—Úþ#k•PÛ©í¤b9Xb,.K¯°ÂåRÛËš³Z	µÚN*”ŽÀ,cqÐ)½ÂöŠgýX­„ÚNm'Ê™ÀïÆâ kz…õÆÞ	Lbµj;µT(Ý€qÆâ(àªô
+û¸·€V¬WBm§¶“Šä*àKcqX<’{ªT]£ý
+ÜÃz%Ôvj»?G4ã³›Mú
‹/
¦UÖÁÀ¦šÚÀ߬WBm§¶ûòÖìȇ7‹Ü	¼a,>
+J«¬›o5m—2`V,¡¶SÛýzù+óùðf!èÏ‹·
o§UÖWÀâÏXàV,¡¶SÛ}8@o>¼Yä9àQc±gš±`jnŠÈ_
+,,bÍj;µÝ›§„¶ßLJ7‹¼
Üe,^4™I‰c€5UÄßÆ[ö¬YBm§¶{3Khûó|x³ÈIW£S)éu/ð©¾ððk–PÛ©íž´’.ìÃùðf‘/+Å#é56þšè¬¨Æª%Ôvj»7ImÿŽo\`,¶
Ö¥QRÝâ¸}LݍÀɬZBm§¶û´Ó' 
üœi,î$*»jê%ü‹¬½¼Éª%Ôvj»K¤¶/áÛEf
ã
+oQٍR/éQ`„±ØX[‹uK¨íÔvw. ¶Š|z³ÇàPc±@¼J[¤^ÒDàZc±Ö: 3ë–PÛ©íîd²‡|z³Çz u|y%Ð.å‚–šb„
+IF2 „ÚNm·R]´þN/öàÓ›5
+Ë€æñ•cS.é,`Q¢‡Õ	Ø\ŸµK¨íÔv7Ž6Ô\
+Χ7kÈ1öƦçí)—ô´9bAqÛ.fíj;µÝC->Ö¦ˆ¶;ŸÞ¬±½Ðöšñ•ïÒdq£.K®=|ÅÚ%Ôvj»s€ËµïKøôf=€âÄʇ@ŸTÚ®Ø-¹zPÒ”ÕK¨íÔv'-²fÚà>½Yc?`Mbe0pwªÌ5­.®fõj{4µ}Ϲ(Y¹xÖ¿~óå{o½x[ÝÌ–~#𛦽Ȁ±ÙäH`abe ðdª½ 6¯ ~`õj{4µýaX˜ÙÒÔ[‘ ¯ñéÍ'Ó+÷ ¯§ZÐ »yý  t'Ö/¡¶GRÛ_³j;2šþ®Q‰nm}½œP%Ù¢³Þ92蛺UºŒW`MõÓµ=ªÚ>x´Ý‘Ï:ûŠknºkQ†'=/hZ7`<ŸÞ¬ÑÃ<tr‰ž/%º3¬[î3¿5¡¶GIÛG›ÍÞžÉp4Þ÷cÉÞ:
ÿðéÍ–\KÿKýy{Ñku/ђ߇LòUÛkÞñž«€É•¹N
ÎN¬œ
+¬ª’¹²¥SêIâo;Q,ŸÞ¬q0,±rðoŠå,º8[&L™EòVÛ{#€ù•¹Ng '$VjoΨé	ÀÚêâï. at YU>¾Ùâ^óTµx®H­ÑH/µ‡¼
˜É0o$_µý‚ mŸ]™ëÔCPð
+pOæÊ~øPeˆJØŽo¶ <Xi
”¤¦ÆW»ô0w*b
+“<Õvíô›|XXÉÇÛ7š"ÿiÚ͝õœËßÄaÛ,òðPb¥±x¦æ¤ð.ð”cãxà1Ö0ÉWm÷¥’Ï¥V³š=î/Z}Ç»P¶½¾4èÀÇ7[¼
+Ü–X©ê0dT¤`)p†ckoš8j{$µ}[!uL?pÑÍ87Seß
+ü[úÍ<aK2ÌG@ïäš9˜{ÚÅÛ8¶Ìa
+j{ô´Ý><;8ƒ.¤?
·Æ–¾d`’,ò
+pirm
pd*¥ôquJnld
+j{ô´ý `¥yý<`q†#¶+Ú$F
+îàã›-~º&צ§¤RÊÇÀƒÎ­D¿®«˜PÛ#§íÇØÌx'9].NZZòñÍBÍOM®.H¡*«ã›¶2g¡¶GQÛÏ ~·l˜˜±" Ï‹w˜óù3×2Sý9Ð3…B
6×rÙ¾8ŠUL¨í‘Óöîö0® _f¤äêkcN©’«3Uhe¤ãI|
ˁ“kC³¡¸øÑãùíLå!ÔöÈi{/àˆ£Mµ2Qò	ÀºÆòÙ9sªsiJc d3Ð2¹ö|jÁòGyx­}
\Cå!ÔöÈiûmöÑ’ªk€N™(ùiS°Ùc¬	}rŠ	À‹z
Ò¢Ýeý!à…ð…T[´wÛ18£žÊ„PÛˉGc‘MŒ0{°§NÁ< G|¥uîZÒí.”õó
+½‚â
+Lþf7ï†/¤=°¾šÛŽ‡+úÕE¨íÔöTxÁ쯮s…9‹Oê´J‘§¶òS;7ŸI!¥ø³B¯@¦Ô0Eb»
+¾»½fDú #©<„Ú9m¸Å)»¥_ðíÀØä°A°Kn>“¿¡¢ï
+l6­ž—RbÄ€›]wœŸñ<‹„PÛˁϜsӁËÓ/x¼Å\c5p at N>’»–¡¢û$Z£úžüºŒj›-á@M¤žj{Å1èfÛô4ð~Úå6±ú@ýcŽŸKܨGqÞ«"/¡½u¢úp`Qè2ö ŠÝ#ì·6Pyµ=rÚþ'pšmÓIÀÚ´3i\jM£7Þù
+É
+þO×öã+òN¦šVSŠ Ó	˜é¾'õ˜Á„PÛ+¹NÓ7™|éˆtË‘tJ•|b	U˜;ì&”o1pQE^ùÀDÓj3qIÕ–q5ðµûžÂb`wJ¡¶GMÛWûÙ·îM³Øšë¬ƒ0¯çhÞÍ›?ßn/¿Ol<vzGé[ó«Yh{“°¥>æmé¸(ozB¨íåLA©‹QÌ
+Ö†`*tVW³jÇó¹øDþÜñx¹Z€_±n¹øؼžJt/ÑͺÉc×$à”Bm˜¶×¼†ö­Ò&é•;Êæyc&æg+-Eõµè]®ÎKÏØ I×â¡æõÿRHq:èⱋAµ=‚Ú.Ù«8óóÒ*v»bàhó†K€ï"þðõûÔÙ¾EFÑìl¥™UFX'©/™×gÖºhç±kp7¥‡PÛ#¦íû¸Z¸½N«Ø¾À¿–§S¢ýìµfUu¯¸]FÇ]Q~×1
XoÝò4ð¤yýWï6¸ÛZÃXx$¥ø4„PÛ+wcè®bkZÉ—&ÛL‰ÏYígï!Wضí)¶í©¦”ŸóÒñiÖ´¦¯Ùæ©G—…,ô[ö-Û{úCJ¡¶GLÛOrublPìŸF© eÖÒ7¦0ÒÏÞ-BSÙ‚ß©‡..Ü
+ì]^—QEÜsD_Á0Û<èû@ÿ¥žüâ³ï'J¡¶GLÛÏ~vÙü“Wt5žÆØÞns¶‘â9é£ÔǺíÏX5ÍIa€;Uv”—qœe“=lÄ«áíMo÷‰É „ÚAm¿øÊeó½À7i´-WZ7»æµyh·ÈÜǏ¥¨.ªiÞ´b_jœ)šq¶9X^†ÕÅwŒÍwj@ø Íâuð°×¾6Ž
~B¨í•^ÛûÃ]6
lN}ù$`S}Û¶¥Àaö㪯ÀÜÈÔLÒƒô5oºÃ¸µÃÊÑyé,yÖ„¶¿ÙæNïÞYêwι„MÄÖ¡öj{´´]4Ð_uky¯NM¹Ðw€÷ìÛ¦:ãÖH;ú´†õË•å€PÀ¥æ7ÞÆÈÕãåhIr­Ôv‹YŒ6Í–(«7ðQÈRçúŒ*– -¨=„Ú-mà¶]4E¥ZfƒMÉ$Øæ–á%öm§8š •—:âZ÷^ii ‹WSYsCL?+¯ëxXjû0˦À‘æõŽÙŽ ª—Í=÷2è ¡¶GOÛw¹m¿$	´+EEöÃ]œÚ¯®ðttêì
+l)¼X4¿'>]žÎKoIm·:¦ÚCúrö_®Ès/ƒj{ô´ýC‡íGŒfe©Gÿ<îØø<ð¨}ÛƒB¦ÖUÆm<
˜¥Õ[aŽ¢6-nkègži¾“Ún
+Ç[b»U€9á
+=Ùáëjfp5µ‡PÛ£¥íߺ•èLqæcRo¢µcë}ÀkömoJŠHwÿRà{ÝÈ}ݶƖ6@ÙNúÒå8Û8CÖ™%>{M±a{ó†ýDï"\¡½¼’¥ê0è ¡¶GOÛ:»îxÜ\P{€Iέ½OìÛÆHº#·ñnàMM«½4i,xo"‘¨t^*¯ÌKus³Ò¶ö以á̏žðÒÉ „Ú=mŸá•ë®SªÉ—
[TRUNCATED]

To get the complete diff run:
    svnlook diff /svnroot/pomp -r 1150