[Rsiena-commits] r128 - in pkg: RSiena RSiena/R RSiena/data RSiena/inst/doc RSiena/man RSiena/src/model RSiena/src/model/effects RSiena/src/model/effects/generic RSiena/src/model/ml RSiena/src/model/tables RSiena/src/model/variables RSiena/tests RSienaTest RSienaTest/R RSienaTest/data RSienaTest/doc RSienaTest/inst/doc RSienaTest/man RSienaTest/src/model RSienaTest/src/model/effects RSienaTest/src/model/effects/generic RSienaTest/src/model/ml RSienaTest/src/model/tables RSienaTest/src/model/variables RSienaTest/tests

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Thu Dec 2 17:17:46 CET 2010


Author: ripleyrm
Date: 2010-12-02 17:17:45 +0100 (Thu, 02 Dec 2010)
New Revision: 128

Added:
   pkg/RSiena/src/model/effects/generic/CovariateDistance2AlterNetworkFunction.cpp
   pkg/RSiena/src/model/effects/generic/CovariateDistance2AlterNetworkFunction.h
   pkg/RSiena/src/model/effects/generic/CovariateDistance2NetworkFunction.cpp
   pkg/RSiena/src/model/effects/generic/CovariateDistance2NetworkFunction.h
   pkg/RSiena/src/model/effects/generic/CovariateDistance2SimilarityNetworkFunction.cpp
   pkg/RSiena/src/model/effects/generic/CovariateDistance2SimilarityNetworkFunction.h
   pkg/RSiena/src/model/effects/generic/CovariateNetworkAlterFunction.cpp
   pkg/RSiena/src/model/effects/generic/CovariateNetworkAlterFunction.h
   pkg/RSiena/src/model/effects/generic/MixedNetworkAlterFunction.cpp
   pkg/RSiena/src/model/effects/generic/MixedNetworkAlterFunction.h
   pkg/RSiena/src/model/effects/generic/MixedTwoPathFunction.cpp
   pkg/RSiena/src/model/effects/generic/MixedTwoPathFunction.h
   pkg/RSiena/src/model/tables/MixedConfigurationTable.cpp
   pkg/RSiena/src/model/tables/MixedConfigurationTable.h
   pkg/RSiena/src/model/tables/MixedEgocentricConfigurationTable.cpp
   pkg/RSiena/src/model/tables/MixedEgocentricConfigurationTable.h
   pkg/RSiena/src/model/tables/MixedTwoPathTable.cpp
   pkg/RSiena/src/model/tables/MixedTwoPathTable.h
   pkg/RSiena/src/model/tables/TwoNetworkCache.cpp
   pkg/RSiena/src/model/tables/TwoNetworkCache.h
   pkg/RSienaTest/doc/sienaTimeFixDoc.tex
   pkg/RSienaTest/src/model/effects/generic/CovariateDistance2AlterNetworkFunction.cpp
   pkg/RSienaTest/src/model/effects/generic/CovariateDistance2AlterNetworkFunction.h
   pkg/RSienaTest/src/model/effects/generic/CovariateDistance2NetworkFunction.cpp
   pkg/RSienaTest/src/model/effects/generic/CovariateDistance2NetworkFunction.h
   pkg/RSienaTest/src/model/effects/generic/CovariateDistance2SimilarityNetworkFunction.cpp
   pkg/RSienaTest/src/model/effects/generic/CovariateDistance2SimilarityNetworkFunction.h
   pkg/RSienaTest/src/model/effects/generic/CovariateNetworkAlterFunction.cpp
   pkg/RSienaTest/src/model/effects/generic/CovariateNetworkAlterFunction.h
   pkg/RSienaTest/src/model/effects/generic/MixedNetworkAlterFunction.cpp
   pkg/RSienaTest/src/model/effects/generic/MixedNetworkAlterFunction.h
   pkg/RSienaTest/src/model/effects/generic/MixedTwoPathFunction.cpp
   pkg/RSienaTest/src/model/effects/generic/MixedTwoPathFunction.h
   pkg/RSienaTest/src/model/tables/MixedConfigurationTable.cpp
   pkg/RSienaTest/src/model/tables/MixedConfigurationTable.h
   pkg/RSienaTest/src/model/tables/MixedEgocentricConfigurationTable.cpp
   pkg/RSienaTest/src/model/tables/MixedEgocentricConfigurationTable.h
   pkg/RSienaTest/src/model/tables/MixedTwoPathTable.cpp
   pkg/RSienaTest/src/model/tables/MixedTwoPathTable.h
   pkg/RSienaTest/src/model/tables/TwoNetworkCache.cpp
   pkg/RSienaTest/src/model/tables/TwoNetworkCache.h
Modified:
   pkg/RSiena/DESCRIPTION
   pkg/RSiena/R/effects.r
   pkg/RSiena/R/effectsMethods.r
   pkg/RSiena/R/initializeFRAN.r
   pkg/RSiena/R/sienaModelCreate.r
   pkg/RSiena/R/sienaTimeTest.r
   pkg/RSiena/R/sienaeffects.r
   pkg/RSiena/changeLog
   pkg/RSiena/data/allEffects.csv
   pkg/RSiena/inst/doc/s_man400.pdf
   pkg/RSiena/man/RSiena-package.Rd
   pkg/RSiena/man/setEffect.Rd
   pkg/RSiena/man/sienaModelCreate.Rd
   pkg/RSiena/src/model/EpochSimulation.cpp
   pkg/RSiena/src/model/effects/CovariateDistance2AlterEffect.cpp
   pkg/RSiena/src/model/effects/EffectFactory.cpp
   pkg/RSiena/src/model/effects/generic/NetworkAlterFunction.h
   pkg/RSiena/src/model/ml/MLSimulation.cpp
   pkg/RSiena/src/model/tables/Cache.cpp
   pkg/RSiena/src/model/tables/Cache.h
   pkg/RSiena/src/model/variables/DependentVariable.cpp
   pkg/RSiena/src/model/variables/DependentVariable.h
   pkg/RSiena/src/model/variables/NetworkVariable.cpp
   pkg/RSiena/tests/parallel.Rout.save
   pkg/RSienaTest/DESCRIPTION
   pkg/RSienaTest/R/effects.r
   pkg/RSienaTest/R/effectsMethods.r
   pkg/RSienaTest/R/initializeFRAN.r
   pkg/RSienaTest/R/sienaModelCreate.r
   pkg/RSienaTest/R/sienaTimeTest.r
   pkg/RSienaTest/R/sienaeffects.r
   pkg/RSienaTest/changeLog
   pkg/RSienaTest/data/allEffects.csv
   pkg/RSienaTest/doc/s_man400.tex
   pkg/RSienaTest/doc/simstats0c.tex
   pkg/RSienaTest/inst/doc/s_man400.pdf
   pkg/RSienaTest/man/RSiena-package.Rd
   pkg/RSienaTest/man/setEffect.Rd
   pkg/RSienaTest/man/sienaModelCreate.Rd
   pkg/RSienaTest/src/model/EpochSimulation.cpp
   pkg/RSienaTest/src/model/effects/CovariateDistance2AlterEffect.cpp
   pkg/RSienaTest/src/model/effects/EffectFactory.cpp
   pkg/RSienaTest/src/model/effects/generic/NetworkAlterFunction.h
   pkg/RSienaTest/src/model/ml/MLSimulation.cpp
   pkg/RSienaTest/src/model/tables/Cache.cpp
   pkg/RSienaTest/src/model/tables/Cache.h
   pkg/RSienaTest/src/model/variables/DependentVariable.cpp
   pkg/RSienaTest/src/model/variables/DependentVariable.h
   pkg/RSienaTest/src/model/variables/NetworkVariable.cpp
   pkg/RSienaTest/tests/parallel.Rout.save
Log:
New effects for multiple networks. More ML. 

Modified: pkg/RSiena/DESCRIPTION
===================================================================
--- pkg/RSiena/DESCRIPTION	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/DESCRIPTION	2010-12-02 16:17:45 UTC (rev 128)
@@ -1,8 +1,8 @@
 Package: RSiena
 Type: Package
 Title: Siena - Simulation Investigation for Empirical Network Analysis
-Version: 1.0.12.127
-Date: 2010-11-25
+Version: 1.0.12.128
+Date: 2010-12-02
 Author: Various
 Depends: R (>= 2.9.0), xtable
 Imports: Matrix

Modified: pkg/RSiena/R/effects.r
===================================================================
--- pkg/RSiena/R/effects.r	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/R/effects.r	2010-12-02 16:17:45 UTC (rev 128)
@@ -288,8 +288,8 @@
                 }
                   for (k in seq(along=xx$depvars))
                 {
-                    if (types[j] == 'behavior' &&
-                        attr(xx$depvars[[j]], 'nodeSet') == nodeSet)
+                    if (types[k] == 'behavior' &&
+                        attr(xx$depvars[[k]], 'nodeSet') == nodeSet)
                     {
                         objEffects <-
                             rbind(objEffects,
@@ -864,13 +864,15 @@
     covarNetNetEff<- function(othernetname,
                               covarname, poszvar, moreThan2, name)
     {
-        if (poszvar && (!moreThan2))
+        objEffects <- createEffects("covarNetNetObjective", othernetname,
+                                   covarname, name=name,
+                                   groupName=groupName, group=group,
+                                   netType=netType)
+        if (!(poszvar && (!moreThan2)))
         {
-            createEffects("covarNetNetObjective", othernetname,
-                          covarname, name=name,
-                          groupName=groupName, group=group,
-                          netType=netType)
+            objEffects <- objEffects[objEffects$shortName != "covNetNet", ]
         }
+        objEffects
     }
     ###################################
     ## start of function getEffects

Modified: pkg/RSiena/R/effectsMethods.r
===================================================================
--- pkg/RSiena/R/effectsMethods.r	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/R/effectsMethods.r	2010-12-02 16:17:45 UTC (rev 128)
@@ -21,11 +21,23 @@
         sink(fileName, split=TRUE)
     }
 
-    if (expandDummies && (includeOnly && !all(x[x$include, "timeDummy"] == ",")
-        || !all(x[, "timeDummy"] == ",")))
+    interactions <- x[x$shortName == "unspInt" & x$include &
+                            x$effect1 > 0, ]
+    if (expandDummies)
     {
-        x <- sienaTimeFix(x)$effects
-        x <- fixUpEffectNames(x)
+        if(includeOnly && !all(x[x$include, "timeDummy"] == ",")
+                          || !all(x[, "timeDummy"] == "," ))
+        {
+            x <- sienaTimeFix(x)$effects
+            x <- fixUpEffectNames(x)
+        }
+        else
+        {
+            if (nrow(interactions) > 0)
+            {
+                x <- fixUpEffectNames(x)
+            }
+        }
     }
     if (nrow(x) > 0)
     {
@@ -34,7 +46,7 @@
         endowments <- !x$type[x$include] %in% c("rate", "eval")
         timeDummies <- !x$timeDummies[x$include] == ","
         specs <- x[, c("name", "effectName", "include", "fix", "test",
-                                "initialValue", "parm")]
+                       "initialValue", "parm")]
         if (includeOnly)
         {
             specs <- specs[x$include, ]

Modified: pkg/RSiena/R/initializeFRAN.r
===================================================================
--- pkg/RSiena/R/initializeFRAN.r	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/R/initializeFRAN.r	2010-12-02 16:17:45 UTC (rev 128)
@@ -451,10 +451,11 @@
         else
         {
             z$targets <- rep(0, z$pp)
-            z$targets2 <- 0
+            z$targets2 <- ans
+            z$targets2[] <- 0
             z$maxlikeTargets <- rowSums(ans)
             z$maxlikeTargets2 <- ans
-            z$mult <- 1
+            z$mult <- x$mult
             z$nrunMH <- z$mult * sum(z$maxlikeTargets[z$effects$basicRate])
         }
     }

Modified: pkg/RSiena/R/sienaModelCreate.r
===================================================================
--- pkg/RSiena/R/sienaModelCreate.r	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/R/sienaModelCreate.r	2010-12-02 16:17:45 UTC (rev 128)
@@ -23,10 +23,10 @@
              n3=1000, nsub=4, maxlike=FALSE, diag=!maxlike,
              condvarno=0, condname='',
              firstg=0.2, cond=NA, findiff=FALSE,  seed=NULL,
-             pridg=0.1, prcdg=0.1, prper=0.3, pripr=0.25, prdpr=0.25,
-             prirms=0.0, prdrms=0.0, maximumPermutationLength=40,
+             pridg=0.05, prcdg=0.05, prper=0.2, pripr=0.3, prdpr=0.3,
+             prirms=0.05, prdrms=0.05, maximumPermutationLength=40,
              minimumPermutationLength=2, initialPermutationLength=20,
-             modelType=1)
+             modelType=1, mult=4)
 {
     model <- NULL
     model$projname <- projname
@@ -93,6 +93,7 @@
     model$maximumPermutationLength <- maximumPermutationLength
     model$minimumPermutationLength <- minimumPermutationLength
     model$initialPermutationLength <- initialPermutationLength
+    model$mult <- mult
     class(model) <- "sienaModel"
     model
 }

Modified: pkg/RSiena/R/sienaTimeTest.r
===================================================================
--- pkg/RSiena/R/sienaTimeTest.r	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/R/sienaTimeTest.r	2010-12-02 16:17:45 UTC (rev 128)
@@ -62,10 +62,10 @@
     {
         use <- !fitEffects$basicRate
     }
-    if (sienaFit$maxlike || sienaFit$FinDiff.method)
-    {
-        stop("Not yet implemented for finite differences or maxlike")
-    }
+   # if (sienaFit$maxlike || sienaFit$FinDiff.method)
+   # {
+   #     stop("Not yet implemented for finite differences or maxlike")
+   # }
     ## Identify the effects which will potentially be tested
     baseInFit <- use & !grepl("Dummy", fitEffects$effectName)
 
@@ -183,25 +183,22 @@
         derivs <- sienaFit$sdf2[ , , estimatedInFit, estimatedInFit,
                                 drop=FALSE]
         DF <- array(0, dim=c(nSims, nWaves, nEffects + nDummies,
-                           nEffects + nDummies))
+                       nEffects + nDummies))
         DF[, , 1:nEffects, 1:nEffects] <- derivs
-        ## copy over the others
-        subs1 <-  cbind(rep(1:nSims, 2 * nDummies),
-                        rep(toTest$period1[ttt], each=nSims * 2),
-                        c(rep(toTest$rowInD[ttt], each=nSims),
-                          rep(nEffects + 1:nDummies, nSims)),
-                        c(rep(nEffects + 1:nDummies, nSims),
-                          rep(toTest$rowInD[ttt], each=nSims)))
-        subs2 <- cbind(rep(1:nSims, 2 * nDummies),
-                       rep(toTest$period1[ttt], each=nSims * 2),
-                       c(rep(toTest$baseRowInD[ttt], each=nSims),
-                         rep(1:nEffects, nSims)),
-                       c(rep(1:nEffects, nSims),
-                         rep(toTest$baseRowInD[ttt], each=nSims)))
-        DF[subs1] <- derivs[subs2]
-        D <- t(apply(DF, c(2, 3), mean))
+        for (wave in 2:nWaves)
+        {
+            thisWave <- toTest$period == wave & toTest$toTest
+            subs1 <- (1: (nEffects + nDummies))[thisWave]
+            subs2 <- toTest$baseRowInD[thisWave]
+            DF[, wave, subs1, subs1] <- derivs[, wave, subs2, subs2]
+
+            DF[, wave, subs1, 1:nEffects] <- derivs[, wave, subs2, 1:nEffects]
+            DF[, wave, 1:nEffects, subs1] <- derivs[, wave, 1:nEffects, subs2]
+        }
+
+        D <- t(apply(DF, c(3, 4), mean))
     }
-   ## We have now set up all of the ingredients properly, so we may proceed
+    ## We have now set up all of the ingredients properly, so we may proceed
     ## with the score type test of Schweinberger (2007)
 	fra <- apply(G, 3, sum) / nSims
 	doTests <- toTest$toTest
@@ -285,6 +282,7 @@
 					  IndividualTestStatistics=individualTest,
 					  CovDummyEst=jointTest$covMatrix,
 					  Moments=G,
+                      Deriv=D,
 					  BaseRowInD=match(which(baseInFit),
                       which(estimatedInFit)),
 					  Waves=dim(G)[2],

Modified: pkg/RSiena/R/sienaeffects.r
===================================================================
--- pkg/RSiena/R/sienaeffects.r	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/R/sienaeffects.r	2010-12-02 16:17:45 UTC (rev 128)
@@ -204,7 +204,7 @@
                       timeDummy=",",
                       include=TRUE, name=myeff$name[1],
                       type="eval", interaction1="", interaction2="",
-                      character=FALSE)
+                       period=1, group=1, character=FALSE)
 {
     if (!character)
     {
@@ -214,7 +214,9 @@
     myeff$name == name &
     myeff$type == type &
     myeff$interaction1 == interaction1 &
-    myeff$interaction2 == interaction2
+    myeff$interaction2 == interaction2 &
+    (is.na(myeff$period) | myeff$period == period) &
+    myeff$group == group
     if (sum(use) == 0)
     {
         stop("Effect not found")
@@ -231,6 +233,6 @@
     myeff[use, "timeDummy"] <- timeDummy
     print.data.frame(myeff[use, c("name", "shortName", "type", "interaction1",
                        "interaction2", "include", "parm", "fix", "test",
-                       "initialValue", "timeDummy")])
+                       "initialValue", "timeDummy", "period", "group")])
     myeff
 }

Modified: pkg/RSiena/changeLog
===================================================================
--- pkg/RSiena/changeLog	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/changeLog	2010-12-02 16:17:45 UTC (rev 128)
@@ -1,3 +1,59 @@
+2010-12-02 R-forge revision 128
+
+	* data/allEffects.csv: removed to effect from bipartite bipartite,
+	added altDist2W and simDist2W to group covarNetNetObjective.
+	* R/effects.r: fixed bug meaning covNetNet effect was not added
+	for behavior variables. Altered code for covarNetNetEff to cope
+	with new effects.
+	* R/effectsMethods.r: now interaction names may be expanded even
+	in the absence of time dummies.
+	* R/initializeFRAN.r: make targets2 for maximum likelihood a
+	matrix of the correct size, containing zeros.
+	* R/initializeFRAN.r, R/sienaModelCreate, man/sienaModelCreate.Rd:
+	Add multiplication factor, altered default ML probabiltities
+	* R/sienaEffects.r: added period and group to setEffect so can set
+	initial values on basic rates.
+	* src/model/effects/CovariateDistance2AlterEffect.cpp: fixed a bug
+	in calculation with parameter set to 2.
+	* src/model/effects/EffectFactory.cpp,
+        src/model/effects/generic/CovariateDistance2AlterNetworkFunction.cpp
+	src/model/effects/generic/CovariateDistance2AlterNetworkFunction.h
+	src/model/effects/generic/CovariateDistance2NetworkFunction.cpp
+	src/model/effects/generic/CovariateDistance2NetworkFunction.h
+	src/model/effects/generic/CovariateDistance2SimilarityNetworkFunction.
+	cpp
+	src/model/effects/generic/CovariateDistance2SimilarityNetworkFunction.h
+	src/model/effects/generic/CovariateNetworkAlterFunction.cpp
+	src/model/effects/generic/CovariateNetworkAlterFunction.h
+	src/model/effects/generic/MixedNetworkAlterFunction.cpp
+	src/model/effects/generic/MixedNetworkAlterFunction.h
+	src/model/effects/generic/MixedTwoPathFunction.cpp
+	src/model/effects/generic/MixedTwoPathFunction.h
+	src/model/effects/generic/NetworkAlterFunction.h
+	src/model/tables/MixedConfigurationTable.cpp
+	src/model/tables/MixedConfigurationTable.h
+	src/model/tables/MixedEgocentricConfigurationTable.cpp
+	src/model/tables/MixedEgocentricConfigurationTable.h
+	src/model/tables/MixedTwoPathTable.cpp
+	src/model/tables/MixedTwoPathTable.h
+	src/model/tables/TwoNetworkCache.cpp
+	src/model/tables/TwoNetworkCache.h
+	src/model/tables/Cache.cpp
+	src/model/tables/Cache.h
+	added new effects: to, altDist2W, simDist2W. Altered altDist2 and
+	simDist2 to  be generic effects which use same functions as
+	altDist2W, simDist2W. New two-network cache with mixed-two-path
+	table.
+	* src/model/ml/MLSimulation.cpp: changes to ML routines
+	* src/model/variables/DependentVariable.cpp,
+	 src/model/variables/DependentVariable.h: added calculation loop
+	for rate effects depending on behavior variables, and stored
+	the product term for the scores. Also stored product term for
+	model type B scores.
+	* src/model/variables/NetworkVariable.cpp: fixed bug in
+	calculation of symmetric model type BFORCE scores.
+	* R/sienaTimeTest.r: added code for finitedifferences and ML fits.
+
 2010-11-25 R-forge revision 127
 
 	* man/s_man400.tex: updated examples of sienaTimeTest.

Modified: pkg/RSiena/data/allEffects.csv
===================================================================
--- pkg/RSiena/data/allEffects.csv	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/data/allEffects.csv	2010-12-02 16:17:45 UTC (rev 128)
@@ -174,5 +174,6 @@
 nonSymmetricBipartiteObjective,outdegree^(1/#) xxxxxx activity,sum outd. x degree^(1/#) xxxxxx,outActIntn,TRUE,xxxxxx,,eval,FALSE,FALSE,FALSE,FALSE,FALSE,",",0,2,objective,NA,NA,0,0,0,0,dyadic
 nonSymmetricBipartiteObjective,from xxxxxx agreement,"mixed triplets XWW, W = xxxxxx",from,TRUE,xxxxxx,,eval,FALSE,FALSE,FALSE,FALSE,FALSE,",",0,0,objective,NA,NA,0,0,0,0,dyadic
 bipartiteBipartiteObjective,outdegree^(1/#) xxxxxx activity,sum outd. x degree^(1/#) xxxxxx,outActIntn,TRUE,xxxxxx,,eval,FALSE,FALSE,FALSE,FALSE,FALSE,",",0,2,objective,NA,NA,0,0,0,0,dyadic
-bipartiteBipartiteObjective,xxxxxx to agreement,"mixed triplets XWW, W = xxxxxx",to,TRUE,xxxxxx,,eval,FALSE,FALSE,FALSE,FALSE,FALSE,",",0,0,objective,NA,NA,0,0,0,0,dyadic
 covarNetNetObjective,from xxxxxx agr. x same yyyyyy,"m.tr. XWW, W = xxxxxx, same yyyyyy",covNetNet,TRUE,xxxxxx,yyyyyy,eval,FALSE,FALSE,FALSE,FALSE,FALSE,",",0,0,objective,NA,NA,0,0,0,0,dyadic
+covarNetNetObjective,yyyyyy alter at distance 2 on xxxxxx,yyyyyy alter at distance 2 on xxxxxx,altDist2W,TRUE,xxxxxx,yyyyyy,eval,FALSE,FALSE,FALSE,FALSE,FALSE,",",0,1,objective,NA,NA,0,0,0,0,
+covarNetNetObjective,yyyyyy similarity at distance 2 on xxxxxx,yyyyyy similarity at distance 2 on xxxxxx,simDist2W,TRUE,xxxxxx,yyyyyy,eval,FALSE,FALSE,FALSE,FALSE,FALSE,",",0,0,objective,NA,NA,0,0,0,0,

Modified: pkg/RSiena/inst/doc/s_man400.pdf
===================================================================
--- pkg/RSiena/inst/doc/s_man400.pdf	2010-11-25 17:39:16 UTC (rev 127)
+++ pkg/RSiena/inst/doc/s_man400.pdf	2010-12-02 16:17:45 UTC (rev 128)
@@ -509,21 +509,14 @@
 /Filter /FlateDecode
 >>
 stream
-xÚ•VKoã6¾ûWè(#’âCí)»›´[ i›¸§Ýd™¶ÕèáJ²SÿûÎpd¯å*-
-9œùæ=dl‚8øa¿óý°˜Ý>pˆ„kx°X\
-&Ó$0<e‚Û`±
-¾„Y=:Ügå<’±×M;ÿ}ñÈš‘,×Ló ½ÔËçû§»o¤Ã¦õ™í€Ð®íŠ¦&ô„Ń”
-R–j¡Q(Ò’Yž‘à,=öK;W<lJ{ë”
-6r0ggo¤	xÂd¢…L˜•ð,³© ¼ç}¿0è‘áׄÏÅ®tÇÐéD–)a !fRHBXÌ­›Š„ïØFp/uñÇ
-ìš"ËÀ-¥È2C %"i™VŠ«•ñ¡êqq$èfMߟÿ‚´¬¾›G‰Tá'·ËÚ¾r52ö—Œ&|é³ãÓÍ#g<,òî{:zڍ¹våŠ$>6eé6nd4š@R|ÜT:xýÔ 2¯š.ç‘7•`…º!@óx2÷‹‡Eð€Åtl&Ò4È«ÙŸ3ééßNÜáö¡âÁ§fö+ü®±O¬Ñ	9º€ö- ÓÀ‚O:ÁèË™ä2€êgÜjrðnÙõm–÷ïä/‰/ "®
-ô…胹îiGê˜6É©¾Æ*>wו¦UçÞ*ª}	i¤žIÃÏõÁu}±¹ ­LDK›ûjW´EN
-ϠO*(
-ߐ£ÁUûJwÐEÇ®è¦å‚%—†rfÿÍàÃã0oªÝŠª÷É®m6mVS¿Í|¡|”e	ä Š
-?%Ô<kÛÂ! †þÝcájBŽ(V.¸I~ }®N>£Èš$ªêφ+WXÓ1–;xçË=Hƒ¹5 hB€4Ì‹“¦ú2bíë ›å9ô\Qo¼OñØ™0¤4ƒJX¬ŽuV9m ˜š6jÀ݁{·"zEšÁtÚƒE£öûâ©“ód8ú¢CãÅüšv3%ŒêšqÈ5]¯þÕ¿sýÀ\²ÿaž™Ò
-Ó3Q*\l©"¯#ìKÏØ!‚‡•.*دqÄM¶“‘,æ|âª×<\‚öò¦²tS
-ªœlÅ’APœ¥[M¨´†%ö„õü‰Ï¦Tj¦¾Íƒým‹;Gý[ÒK®ßu°ÍïxßK`ÜS5}—y¡×¹BVnܱæ[ä¨áî–*â;\¯ã~IØ»üD8áÕ ÎV?Oø¥XjÎñf·ðyŠò–yƒïЗYç=’oqøö'—µ%F….™k¾3FSxFÀ þÏ©lù?òN
-.ýf}Gx»|øPÊB¨ÍÕdk¨Í³¢îðnÔ—)Ãt"¿µEßÃLð?¶páç¦_]º‰û%‚iý˜áÇՏû¢ÎƒiøXPé`8/=›#Ìö<Ô\áq—~ú¸vãÚAxèùëÞû¸m±42ŒG"àQá6å †]½».ŸqÜ*¯€ J<¿†:&xü
-š ¤D
+xÚ•VÉrã6½ë+x$«L±09yÆv2©²“±5§™(
+’sQHÊŽþ>Ý ©:©”ªD ÑýzA/ Á6 ÁOúÎ÷Ãrq}ÏTÀ¢fÁr0Á‰H“@³”pf‚å:ø>duÄUxÈÊ(”‡›¦~_þ²z"ËQ,h'õüéîñfà›èÐœ(ub{EhÛvES{ô„ÐAÊ)IW(+AK‚˜3’Ž†ýÖF’…ÍkÒÎ:iÂW‹€\#ÌÉÙë{¡–‘(î b„<CLÊ=ÞÓ¡ßô@ð«Ã§b_Úãhü±!’k@ Dpá–‘áaSyáòx¸çºøc
+vÍyËÀ-)½eŒB baˆ’Ò#©•v¡êqqôÐÍÆý®eýC'B†·vŸµ}ekdìÏuøÜg=Ƨ‹bg,,òîGôxøF™²åÚK|lÊÒníÄh0ÔÃÀÉtpûÖæ¶B]«(v6z ~åq95ŒÎz·\0XЀLK¢¨Õ "
+òjñçB¸Cÿï#÷@¸¾¯XpÛ,>Ãï{dGäøÚe¿H9¦<7Œ&H|ÂŒò®Ý¬º¾Íòþ«Kè@Ì”†ò1° }P—… ÌDQ:ëà•ôTXT˜FžÊª¨%Ü /—4üT¿Ú®/¶g¤Mq¶~sW틶È}í¦á£…äIÃ7ähpÕ¾øƒ( cWts†2N’sC™f÷ÍàÃh˜7Õþ Ý»ë¾m¶mVy¦~—¹BâHC¸ÈsÈùÔ£æYÛ”îsVq²žÒaÒ‚›Þ  ÏÕè3Šl¼DÕ@špmËc:Ų¯Îùò Ò`ní= hB€4Ì‹QS}±öe€ÍòÊ­¨·Î':u¦!ô ëcUEî7LM7ànÀ½]{zå5ƒé~M*﫣ζ’ás肵GÙ%íjNå%ãp×ht½þWkÜÎösIþ‡yzN+4ÎDÊp¹óya—zÚÖ<œQf˜Q°ß`w›-'-elfJMsæŸ9RÆ©!a at u‚ÍÍ ³˜2¨’³´ë•F“ÄŒXOÏpñÙœJEä÷~0 ¿í°Wç¨çõz×µ«:Øæs¼o‹0|6}Ÿ9¡—H"+·vˆXó=r¾al™ñ&ë´ÞxvÇ®‡?Nx0ð“ÕO3~I’êS¼‰‡[º{ãÒß[:Ü8Ê:ç	\‰Ã·elÖ–?f.1døNM᳟þgW6ì÷îß]¸¡f\E8»\¸P
+
+!Tú¢³5¾Ì³¢îp:ªó+Ã4’ßÚ¢ï¡'¸k[¸p}Ó­ÎÝÄý
+AŽ~ýaÇÕχ¢Î+lƒiøPøÔÁ°Nj6G˜Ý©©ÙÂá®\÷±íÖ¶ƒðPó—µ÷q×bjd„Ã{ÂnËA
+¹xr¿à˜‘„SÆ©„—אgÓÖo¿{Ï£'
 endstream
 endobj
 345 0 obj <<
@@ -3393,29 +3386,39 @@
 /ProcSet [ /PDF /Text ]
 >> endobj
 749 0 obj <<
-/Length 3048      
+/Length 3050      
 /Filter /FlateDecode
 >>
 stream
 xÚµZYÛÈ~÷¯Pö‰¬6oz$>bo0ž`ìGꑸ¦H-ëߧ®¦HŠ{²›'6‹ÝÕÕu~Õ’»Ø.ÜÅÏ\y¾ºyvõ.ЭU†Þâæn‘¤Êu“EiåFzq³YüìxJûË•Ö^èüßçåv¹òãЩ͝©M¹6Íòß7»z—,R•F^„lÜÅJ'ÊORæðÓΔ°(®Áõ4?Ôƒa¤7€u4ÿÓû·_žsõbSÛIÏ™cÞâ3qò†ß³Ã¡6ë<k͆?´»¬åOÇ¥—8UÇdŸémegZ&û¬Ä¹]Vð—¬ÜŒ§V¥aBU3a_ÕB©Maî—aè0ϱX%òÃÔ‚ºŽø
-®dz‡Ïä0LØ›v—LÉ÷‡ÂìA›È‚'$bÉOY—:‡¥vêj[g{µ\¥ëÜXŽý–²SeW沝<æ“¢VËâÊB>Â]UóìªúJƒ€g\ç ñq™øh0/ÑÎu×î`%Î%$R/R>•ù¯S7B¿ÁeÕž¿½T¯ŽRÇsµÃÀóœCá§;´q"¢á=Î ¦yU2!P.~qC÷PWxàû¿3›Ñ’çsÇþHgæY{\~ëb´
-ŠGÉ\ÇáA IZØHƒÄ±:?~7/–«H'Î?˼ߪÅÁ‘“'À“'#ÏycYÝ’ñÑ­F?µY›7m¾n¾B8»_\™bÃß_ƒÌÖ¨™Ð›m׶‡WWª¦¢£~QÙZuŸ¯šÜ”ÙÕyhŠÅG–õû ömÖäk¼_ÉX8 Çõß)ÁqI‰¤ŒŠ×ú3OÚËl䷽ą)ø=§,Ô§¶ÅÏDµþ4÷
-?¡ƒ­\=¥¡íx÷Ù#œÛ=:ÖÎ+RåŒ^©ós†EÖáCÖ!R†šÁè"H/ÍH©«[šfv¹rÎ|"g]­ùdUt­„ä²ÚLχ“‡ñ§à…f[€ô°z'$	m˜Êdb%'?Žv¶2í5ñÐJ/Î÷Iˆ©uü`*.ÎÈ.¤©ÿ (ÍêrÆÉ¿ ’vçíŒÆÙVêÁ®! µæÀÆYçÅFOœŒL“fl‚äG‰fkν8NžtÞž£7–r…<š5@;+Îek[œµe·ç,M#§@÷dtÐ
-CÓ´öŒSËÍÅ7² ”ñÀK/Æ,Nzš{!7Ò¸ uV¬»"ãøÁ/œ§Á°-ȐÕžf꺪›á[āðáTüù‹åñ¡ZÍÕ$[Ps¤Q¨û¬þŠëлe0\¯YÓ€ËyR€q ôÔö€‡áÑδ0…)­TÀÃÄNˁmEF' †®@Üqº†‰
-€¤5©gæ$ëªlr0éφ¢ÅkŒ€ZfbðïUsÈ˪©l([§ˆ9ç;ÅWb^Ëï÷ï•u.-ýÎdžª/ìÔvà9áX`=S%Ï`Á+½l?_uì]Ï™‘(ÉåÐ?$3N;’>àý'¶¡€–$°-‰iÛ¾'Ù™âÀ£‡Q&Ž àÝfþz—òãDîÛ|ÙAQÊ ’11Çg93­îÊr¾·ÑVIÜ77ןCÍt7‰Šµ7èn‚0vÀ³Fv­M¶áQ»««n»c)8a u„ÅEú¼Ï	´®â%‘%¹™Qô‘_ Ï0üˆ]&ÑØ­`7<°f]Cj‰’”5¤²BÿüåÆø7ü¥1”zu@Ž…³Ïò‚‡$<kB—+dü×Ðl£êäV€­õ
-aú*Œœ_!m( É>”ya)×˪iù5—M.t-â&à=À¾Û㐑Թñ¢PE ƒ¯ØÎGæ½…qwd~½B
-܁á!p,©ø_Ô×t<«4§DɺÀ§¤)-cZm¶ À &ï±÷8e4žDõ>^³ê˜ˆQ(I:êuÕä·Å±_t~ôU«hQ¾Íy$À^|œØa(@öÁW&ËÁbQQ·§rêZùL½(Çc)ºXSf2»’È•ÓIe—Cm)Š²@ùû’§‘yÕÕV™M“mˆ`ãŽÎ`Š‚#BN9ò¥®áDø°Ã,;;~­Áa£ì´æÖÛóXò(¯JìªQ«Šßg
-£S£wÉscD*ðƒá5É°ªýO;¦©Òá×£ÀS®ïÛY§ÛÜž-°§ ®Z€¼±>ßQl QÜÄù­3uNx^2vt`‰ý!pqÈã=#€k—ô@º&ó
-Mbå†É“¯ŸŸH*‰ÖÔàt-œ ý“'Á$ 6tqÓ;¡R0À³³Ó$kMÃÑóà%ô'зýñõÇ·7çÒ¡JýÔJ{5ÃJŸë=ͦh½;cŠV£:~õ.IœDÊ‹±tƒÀ:a¯wf½„„]}‚ÅÆ„€'ïñ­÷ÆÄ¿`.í+/<—| Çè`\ÝÇÃ0g‹P’%Tna€ ˜ÝP’â84BÌVt郣¼È ô3™3R8ÌÙ!V–ŽBg·éÂxèV>ÂëýJî_$B"_Eq2¹€²ºŽ­ŒôåÑVÆ«ë«¿lþ“oþDúÍè4P¡îD!+¹,ôCoª ïXñ¹±÷4ìõÔ¥RU
-5hr6³!#Ûã.žÂ¡^¢Õ?D¸³Þß(H äZ¹*·ù2àç©|â;>~ë·=ÕO*Á 8ôµe…'´ì%µ’BÙyæyJq ?;AËZ˜wÐl
-.‰'(%/¡[,
-Òk¬'ÖˆIÑ„ÙplËÍ%êAMüGj†v•ö’ar‹m[ËuÜñpb>tà0Va܇C¶þuôiÖu~ÀDˆ6ûŽ£ô;2ÖÌí!ˆÝ /»áäà Ó4#¾ºÇk®¬æÛÕá¢Ö'ÒÀp͹á.2ԁ¨òÔ+ö  eµ”!MÅ£MÞŠŒ„~½‘	ôkDxâV®[Φ»‰[\¨N A½¸7`ÕµBQÔOê  "*Í%šómb_ÅAŸ&(w—­«¯ F"µ3xÃŒÜ;•3Øikd‰àü—g¢J¯zÇÏŽN8Z 8mÄ©P{ì†c½m»\Y÷»X±<h6]ô, yáÿ«b=–’µ‚ÆÅÎä΂„0=HbþIH?JóÀô{ò2	Ô%ÉÀÙ‰:' ´ä*ˆâ¯¢B½osZfÿ…°.±¡@š-…¯~ âtb[LÃA1¤ÿ§€s~ɺ¶Ú¨ZC:<2‰¼ãl^-\l3/Ñ	$Òå8UwœbÖò3¿ï3î/	ÐÁû8ÝFz$à	öŠ¾Œ+f…AhËk(öT2ùuJÓÏ$ø‹	-IJƒ\0e‰&
-KCWÄPh³úˆ¤SMÆÏX»é'¯‡²¨²
-©	çð0ÒÑm†&ÅúY ž·y)Ü<¹Ó?‰Ñ³¸««ý\%ß`¥áÞ¯ÚþJjPTMÛ©Ž6tÜ;nèBqæºu©Èûfk|5èN¤ÇòÁ-v‰‚Lr&49Þ¼™æ±`‡tº=ôû	]‚:ò³Œ '¤~½aBmór¿‘éöžÜNøá…‹
-è甎¢§ÝJ½@ˆ”8¯¯_~dÞ¹BµC¥T»¥cTOZæd'ÓþMÀA~É
-:0]Àñ|‰7@Ù8a’™‘fï`Z¤|)I×ᵁ³Ï0½c•¢³5²åøå|
-^Øf#™~öòu#¾ÞˆßvÛV¶/¦uÃØB}¦¤MY­÷yÿÄÀ§Ìêü¬[1Çðö‰UMÒËûa
-¹ì¢mà¡üGŽH÷e7r¥¾mìGþJp>Š°ÏÙÅô(b­ü49]Ÿ¡d`)tƒ9œãŸ®"ú½v¢+|&WØZ2,›<†T²D'÷GÈ[¹’ðüPФáºáS#b§#[Ñÿ¨üŽÚ‘açÌv	ã6z¡¢í+íËÏéþØÆoožý#ï¿
+®dz‡Ïä0LØ›v—LÉ÷‡ÂìA›È‚'$bÉOY—:‡¥vêj[g{µ\¥ëÜXŽý–²SeW沝<æ“¢VËâÊB>Â]UóìªúJƒ€g\ç ñq™øh0/ÑÎu×î`%Î%$R/R>•ù¯S7B¿ÁeÕž¿½T¯ŽRÇsµÃÀóœCá§;´q"¢á=Î ¦yU2!P.~qC÷PWxàû¿3›Ñ’çsÇ~cÖfsnÉ:èHA˜8È$, ðÖ d¢SçÇ/ ÖæÅr¥óÏ2ï¹·88òZ2><y²0zcYÝ’½Ñ“F?µY›7m¾içûå*ô\çc÷‹«#SlxÎk0Ù5q“íÚöðâêêááA5À¸QdÕ/*[«îóU“›2»:H1ôÈà u?ðœÛ¬É×<8¾’p@þê¾S‚¿<)äÂ´þÌ“6Ç2ÛÓ!ñm/á`
+~Ï)ùômñ3Q­Í}C›Oè`/WOih?ÞÄýcöçö@GŽµóŠÔE©¢WêÀ<ÃTáE‘õóuˆ”¡fðº	ÒK3RêJ<v—!á>g>‘³®V†ü²*ºV"RXm¦çÃÉÃ0SðD³- at zX½’D4Le²ˆ;&/mÜÄl󌿕Ñh¯‰‡^Pj|Áp¾OBL­ãSqqæà@v!MýEjV7 3Nþ‘´;og4îȶR>pé ­56Î:‡(0zâddzœ4c$?¢hL6[sîÅqò¤ðö½±T)äѬé ÚYq>;XÛâ¬-»¥8gi9º' ƒVš¦µgœZn6(¾áÈP$¤z^z1fqÒÓܹ‘&pÀux¬³bÝÇ~¡\
+OH©å&«7<ÍÔuU7öváéæóËãCµš+E¶8 æ<H£PöYü1±Úy·LF)ð5k° C8Oê.À‚ šÚþð0<Ú™Ö ”0¥±Õ
+Øa˜xÁi9°­Èè„»Ðèƒ;N×0±l´&õÌœd]•Mæ!ýÙP´0
+‚ÀÊLþ½jyY5•
+eë1ç¼s§øJÌ`ùáþý£²Î¥¥ß™LÂSõ…Ú\ 'ø
+¬gªä¹,f¥—áç«Ž½ë93%ù£ú‡dÆi#Ò<€þÄöЉ¶1mÛ·";Sxô#¸Äàº[€Ê_oNÞc|È}w€/;(JáBò!&føð,g¦Õ]Yη4:Ð*‰ûžæúb¨™¦&Q±öMMÆx`ÖÈ®µÉ6<jwuÕmw,' Ž ¸HŸ÷9ÖU¼¤1²$—#3x>ò䆱«Â$»ì†Ö¬kH- SҐÊ
+ý#ðC–ãßð—ÆPêÕ9RÌ>Ë’Xð¬	]®ñ_@´ªW[¶Ö+Dç«0r~…´¡€&ûPæ…¥\/«¦å×\6¹Ð¬ˆ›€÷ ûnCFRçÆ‹B¾b;™÷ÆÝ‘ùõ
+5p„‡À±¤âQ;Óñ¬Òœ%럒¦X´ŒiµÙ‚V l˜¼Ÿ¶8‰ê)|¼fÕ1£P’tÔëªÉo‹c¿èüè«4VÑ¢|›ó
+H€½ø8±ÃP€ìƒ¯L–ƒÅ¢¢nOåÔµò™ZPŽÇRt±¦Ìdv)$‘+5<¦“Ê.Ðÿ7Rÿd6€ò÷%O="󪫭2›&ÛÁƝÁG„œräK]Éða‡Y0vvüZ	‚Ã"FÙ	hͬ·ç±äQ^•ØU£¿ÏF§ Gï’çƈTàÃÛ‘aUûŸvLS¥Ã¯G§\ß·³N—,¸=![`O÷>\µ( yc}¾£Ø@£¸‰ó[gêœð.¼dìèÀûC !àâ†Ç{F 1
+Ö8.ét+LæšÄÊ
+“'ß:!?‘T­©ÁéZ.8Aû'O‚I l辆'wB¥`€gg§IÖš†£çÁKèO oûãëooÎ¥
+B•ú©•öj†!”>×{šM1ÐzwÆ­Fuüê]4’8‰”céuÂ,^ïÌz	5»ú‹-Œ9OÞã[Á\ÚW^x.ù@ŽÑÀ¸º‡7`Ρ$K¨*Ü 0»¡$Äqh„˜­°S^â(/2(ýLæŒsvˆ•¥£ÃÙíDº0º•†ðz¿’û‰ÈWQœL®  ¬„®c+#½@y´•ñêúê/[À‡ÿä›?‘~D3:
+T¨{'QÈJîýЛ*Àã«U|nì=
+{=u©T•B
+Z œMãlÈÈöø„„§p€‹ä. ø!õþFA!ÔÊUé¸Í—?O5à_íñ[¿í©~RyŦ­-+<¡e/y¨•ÊÎ3ÏSŠùÙ	ZÖ¼ƒfkp7<A)y	ÝbQ^c=±FLŠ&̆c[n.APjBà?R3´«´—“[lÛÂX®ãŽ‡ó¡‡±
+ã¾8²õg¨£oL³®ó&B´Ùw¥ß‘±fnA¼pè† }Ù
+'ç¨ ˜¦ñ™ð=^se5Ø.8¨µ>‘΀kÎ
+w‘ D½§^± -«¥á¸h*mòæPdl$ôëL !ÂG°rÝòp6ÝMÜâBuꎫ®=Š¢~RQi.±Ðœoû*ú4y@¹ë¼l]}m1©Á.`äÞ¹¨œÁN[#ûK|ç?ˆ0à8UzÕ;~pDpÂÐj Åi#N€Úc7ëmÛåʺßÅŠåA³é¢gÍÿ_ë±”¬4.v&ÿ^$„	ðèAó/1@ÊøQš¦ß“—‰(H æ(IÎNÔ9¡%WA
+øê}›Ó2û‡¼(„u‰
+Òl)äxõ§sØbŠi$ý<œóKÖµÕ@ÕÒá‘Iägójáb›qx‰N ‘.Ç©ºã³–_Ïø}ŸqI€ÞÇé6ºÐ#O°Wô­`\1+B[fXC±§’ɏ‚Tz¼˜~&Á_LphIRä‚‘(Kì4iXº"†B›ÕG$j2~ÆÚM¿t=”E•mHM8‡@€	Žn34)¾ÐÏð¼ÍKáæɝþIŒžÅ]]íç*þò*}÷vxõÐöWRƒ¢jÚÖHu´y¤ãÞqCŠƒ„0×­kLEÞ7[ã«é@§p
+ =–n±K4`’;0¡ÉñæÍ4;¤›Ðí¡ßOètÈБŸe8!eðë
+j›—ûˆL·ðävÂ/\l@?§t=íVêB¤Äy}ýò#óÈZ¨E*¥Ú-s ‚xÒ2÷ ;™öŸ@€lZðKVЁéîˆçK¼ÊÆ	3Èäˆ4{|ƒÐ"åKIº¯
+t˜}€é«­‘(§À'(çkð:À6Éô³—רñõF<ø¶Û®°²}1ͨÆê3%mÊj½Ïûøß>eVŸàgÝØŠ9†·O¬j’^ÞSÈeàhåÿoDº/»‘+õhc‡<òW‚;ðQ„}Î.¦Gakå§Ééú%K¡ÌáÿtÑï
+°]á3¹ÂÖ
+”aÙä1ä ’%:Ù¸?BÞÊ•„秀‚&
+×
+Ÿ;ÝðÙjŒþGåwÔŽ;`¶K·Ñxuh¯Xi_~N÷Ç6~{óì¿F¼K
 endstream
 endobj
 748 0 obj <<
@@ -8187,7 +8190,7 @@
 /D [1403 0 R /XYZ 88.008 808.885 null]
 >> endobj
 1400 0 obj <<
-/D [1403 0 R /XYZ 453.597 4439.089 null]
+/D [1403 0 R /XYZ 453.669 4439.089 null]
 >> endobj
 1402 0 obj <<
 /Font << /F61 600 0 R /F8 356 0 R /F7 488 0 R /F11 770 0 R /F51 487 0 R >>
@@ -8565,23 +8568,32 @@
 /ProcSet [ /PDF /Text ]
 >> endobj
 1447 0 obj <<
-/Length 2015      
+/Length 2005      
 /Filter /FlateDecode
 >>
 stream
-xÚÍYMs㸽ϯPnTÕŠðSœ[<o%•lR³¾íîa		E* 8¶kÿ|ºÑ
-Š”¯¼cOr" ‚@£ûõënP,¶±øþàçÕÍ»÷×™\È,N³"YÜÜ-ÖU,ÄzQ2…\ÜÔ‹Ÿ¢«åJÊ$>îT»Õýr•–y´éöeuM=×ÑS+Ûm©óe™ÊHÛÞtm¿üåæ/ï¯×‹*®Š¤ÀÄb•Èxð&7;Ã+ß.WÉ:Ò[Óú,RŽoy·¿o\dz,MI„¨¾ƒæºˆÍÊ¢®mi~­2M|	ßMOr¿34F]õ³©Þðžn§iµ¡‡†ŒìRFñr•Uô³ÈÅ?l·µj¿‡Sâ	ñPRÆUžÓ¡ú]74(Nš‚ÂÚ~hpÙ4ãeqt”æ¯Ý–†`ÿ¬Ñ4¯kiìãç?þ@­ÎÒÃoÆ•>¯î:»åï¬>€~ʨëQhã:”ûq¹N£Ä–(눂÷×2›ØÀPeœ£ŠÓ|Mç ‘Ê“o¦¦ÄV
-ã~n"¤ %¬’ü¬\_â^ɤøp²,`n"ŠŒ #ŠRdŒ“_Ÿ‘CŠ¸U„àêµ/ ‹-aouwðLªèóF·ŠÆ<Šáyëu§©ŽË„Ú„-hlºƒñKÃ
-ªih°Õ÷Ô¸ÓÊ
-ÖãÞ¾J/ìb[[M=)|=ƒ ï-§{Ç&ïX³þ 1ËòÉ9Ò fzökeÙwC»q ÿñK½Úó$ö$÷Ä–Ùëø9«­Ø+™ÇE^¼Ôl?S4Y91YJ&Céü¡@ŒéÁ@Ô0^S{œrm^ lùRa¯âêÑKÚÅ‚Únp¦ÕÁs¡LW R‹Ÿ8ÕxG$ ³@}4
-ŒÃf¼7nGöø-°ˆ94<«Ö¼t[óÊA{9p™5ê¶Ñ}üœÃ¯R á/û=/.qøüÕ^ŽþÞY¼”v;lçLiYSeÝÙn?A”(Gäþ`CêSô0-Ós«ªù~é—úó¹‡[¢ÿmÄÉ—Nc¶9º¤ :ÛCô¥d±Žjåµ0^ þI
-¦0ǁ©ôl`§Ì_Œ3ð!à¨qDCVo•­¡ËÛ{¿Ä=l­ù«0Ô·{Ó¯ÎÆÆÄgì´Ÿ@äT_¬Äâ…J<ÇŠÈÐI³@ãY¤9àqÃNÚ;;l€ßUCŸê†´Ôèvó¿{ßyÖºaƾ£œ`þ™Š³ŽüÄöLo…ZïŠIšøÔæ4a³ãà:‡¥ˆ‡øÀ	¦Ý4CMŸ%Ñ Dg›GL°RO¯ýa¢OKC5NÉÚ° Øî XPF§|„®Ï•¾;‡ÕKi÷ŒNŸ„¦§km!^.áhùµ$-VIrIg—“tòB(@<~JРœö$nÏa~¿Óíð!5fõ ¼ãip©dÍ9$‚„OÐ;È´T3JBaD~?NÊ~„“9Cù! €A¦0
-ò)
-ct§äïýu>:ÉD¼ù(ÆÓªˆ³t|ÿ<€’²‚4ö$ª”¼‚>Tû†UîЗÉÛæhè?	T]ÀA½
-y­Zx+¤\
-œ$„X±QÍfh”{šÃ:eݘSP²Öú”±9!ÜtL(þfA™±†yæ´@Où­ZïuhET«D\ 
-Á&¹À-Ø÷)"ôo—¿¡ÚÓ¬š9±~D-«:ÄÇMwtXеÓÌæ;U+o(çäÌÐÕ¿¶æ9XŠòÈÂ:`¼¢ë Ø‹àðŠò™6 ö`Í4&$ö¡Žd……+¡7I7þ?¼"Xv,N¿¡7®É31ñFèL½±Š¤,Ñóu4“ƒ›£>Òâ…L+²èSçëƒÍ°÷‹X7.8P>T£›àM\–€*·Åàîvûž„Øûêâñ\Ž5/¨ÔVLšþð¬Âèô¯£/Y¾ˆ›|r˜Ê|ª6èIY ÚÒÁ±íœÓüb‹£E<¶äôž‘Æ	M8uâ“ù>y¸6Žz3÷ÅY—àgªŽä+Õ‘ø@g¢èI™£*qLéq˜R:hžGÑš:‡—IäaÐìJÐFEc‡¯-­C	_eÁÔ=Ó4‰CΕD,³ª²	W4ëPÒÿÏæDurÁ¦ˆß|%|Š,×Gmcç¨mìI	ùªä»áTôð*džñ“Kxg°6¥uÆ;^‚”‰ÇÅç¼"ñ‹>!¼3º>½ÀT–nYõIxŒßµ ÇR™~4-3pô¾v¶óh;ÈÓ+19?Åâ§U.Ö>K¸ßÏÊ@}ü‰€¥hË—%)þG㍯J¥ñßX¼Cà¹ÏgÛŠyxNÎJµ9þvh;Ɇ‚×aúeÍ£Aæ…è
-ƒAÑs»rd.¿Þp"ý˩áÊ™án­’à 8åvL#KŽôå$¿+Çü®ô¿^ fíSž¤zåIõÊp“^R4<ãœ:úK}u,§éÀŸicK´6!E;^LÎ@**$úoÂ="1“)÷$SÕã+)%¨¾À,è|ñô¦Ã’7Pg§¦e3Ž(Ú¢íVôK„Â#u7î‰É">µâsSÅ3ð!@!ˆô6%ô9~¿‹‹þsÉPú d‰R¸"háBñ ¶')hvØôØ< ö„ä:ñtRANÉ¿ñªyúð§›wÿ|b‚è
+xÚÕYKs7¾ûWзa•8æÁGªö°–­TmÅΖ£Ô’=@$Db33à3–Uûç·ÝÎPŒBÅa¶ö"<úñu÷PL¶1ùö•àÿoo_½¹)äDi^̳Éíýd¹J…XNs™Š¹œÜn&?%o§3)³2¹Þ©f«ýt–/Êdmë½rzC½ÖÒ­\e´£Îçi.í¼±Ÿþóöoon–“Uºšgs<ILf™L—r»3¼óÝt–-½5M(Õòæ
+Ÿöýºµ<ËÑ”LˆÕ4—óDѬ"±MõHó7ºU¦Š‚OaÝP“‡¡1ꪟ…ÌõšÏlwšvë<4dâ¦2I§³r¾J~¥ø»³[§ê´D
+Q))ÓUY’R~g»
+ÅÉs0Xã»
+·ÍÞG{i¾³[‚ó‹JÓ<ÛÐØõ§¿~¤–uôÅð—~§O³{붼Îé=Øg‘XB›Ö¢ÜÓež¤ ¶DY{¼¹‘ÅÀ/ †UQ€0”± ÒâhÍЕØÊa<ÌÍ„3™ÍDvR®Ïñ@Ÿd¶üæh[ÀÜ@™f FeNÛÿç9¤Hb¹¶ÎúÈT–„ðkë4Ý“=ó$ê<Ù:€CÚ+ãŒgûÖ6 n£+ÿœÌ3b&K°ãKeþðÖØ)xï:®‹<˜vÇÒ˜ °7
+£f£ZÀ,Š"ùhe.ݲ‚cM6>"3êõåÔú¨Y•Õ‚(0ûŠ…i@>òÿX÷I¦9ý7¤Ñ-"×^Ñ
+UµïŒo³\±;MMýôr
+\«æ„cºˆ
+¯Û÷QdpËSö„ÕòÔ;å	_ý iLkTEÏÓ²PÕAĆ”ó¸É—êU£ÙÉf­Ú>2ïÕº™¦‘“àT1V 
+êVe'ot£>ô‘sí4è|A?ݘ/¡$É"¹ë02d™ÔZ5&o¨&êƆ’á¹g,¢iÉ¡F¨ ”VmŸÚ„؃†Ú“ç¡"Ò€¹§©”°a`̘ª UŒ|œ«üÈæ\w*(b¢¿z•î*}é( ª%ó„ä*jÏßšZ‡ØÕ¾¥aËŸ±È¡ñŠ æl}…PÐÔÛ˜`d§›µö4Š;6jõŐ«xie~	Ù®2;‚ƒ.=eW,Ýœ%±,´ª
+T“ÉQ–Ì9K1KÒ gÖ×'Šéž?z¨m¡ƒmÜØ…ø ÜT,pY0_)‚…°Ó‚íymW×Fû kX£ë°Á¢Žþ²‡Åñ„‡æI{ǧ… 
+[ïâ’>
+N) ñ_ðýê(_e:ù‰ù—ÛOxڏïÓçX
+DPº\~-K‘ Å,e~>K)Ïs±ì£(p¿@Dn ´ñh‘XÌÙ*ùôFQeÁw‹DSØz*3j†Uk»7qk at 85*Å"¹‡TܹC‘	Kˆ/Æî”àA¼—Ïb^
+-ÀÅ	¿“°‡°?P¯œ¿žR´ÊYè~Æxµrì˜û®	xñ: ¿^Õ<IÅ3w‘à`(üv&”/‹Rù„Ü|FËÜ—“ûbçÎÅá;”¯óå|¡˜oC™ ÄE·p)Ñ@¼í ¼u¼€”B’/X …¿ª(ƒÊPîH›'Dõ	ãÛhÞ’
+í<ä=T·üÁ/¿>úÅ9Ñ_^0ú©¦D«eÐ'Ǧ²ŽmD¥²Ç”X0äÉ
+àDêÓ…·¿œäØaè‘]á/£Ã1$ÅŠéÑ‚é•E`ÊŠZ¡~”¡~ÐƸJ -"Ëò4äôV¹
+tùø™x†Ûh^‡|w—«“t쀊þ*‰^x"³½TìžJŠ˜†ùzÄ9ýÀJyÜpúÖukHöñ†¡ÿÝ2R…Üê-õðf}t)^È‹cû‹a6b–g†EÆNÇÁ'éÊWÈýš`šuÕ“‚^yÎUÄžÐú‡«~ÊfÄŽ
+
+É^ØñÝ“½©¤ÇŠ«S=º¾üjº=aLÊ$¸=—¥§{m¡Nìÿ”Ü,fÙ9ïGÅårs¼JŽò2§9ªÙc|mŽHxl¾èù‹œ®ùRi+à[àªê¡â!¿íS±ZÐÌGnƦÂ,JÃXÔ‰ò½¹)‡2g…H—¢ìÅxúØ;O‹¼ÿþ<~²Å
+¨¬¿úý ‰Õ Ê. |”R˜^©bЛ	]L‡` 7.`>›MÄÛázt).ØmãÃ_nUµîªÁPO][åÚžHħ©'¯§g<Ex†²Ë!óÇ8ù­7éqRù½˜«Y&ÎÀ„`ôV¢*à/•'²ì˜H	§ÃM`ðjkâ“g,Nä;µ‰.½\4€,)\õØ;*ìk ]ÖEÈ@JÑ\`΄Â'ži"`ûGþ³Ž÷Æõàwƒÿø+†LøüøƒÊUÄÊUü™q¸¤8,Ä ¡3ŒÃU"åã°\&#i±ªµ4#TXüI¦Í‹ä
+FXã|<¯Cä»kÛï;x‘÷ø.Ud`Ñ­uKà®ö$K(Öø¥¶Ê gzý¬ÝÈ_lj¢Ùä|`6YÍ=)çh¶|ŽàØÚ¶ÕüŠJK«-¿D~{¤qB“,GÁ1˜XÍá÷óQðâ¬Sø™Èe¢$Ÿ§‹"'mVã9ïo_ý£®«
 endstream
 endobj
 1446 0 obj <<
@@ -8589,7 +8601,7 @@
 /Contents 1447 0 R
 /Resources 1445 0 R
 /MediaBox [0 0 595.276 841.89]
-/Parent 1451 0 R
+/Parent 1449 0 R
 >> endobj
 1448 0 obj <<
 /D [1446 0 R /XYZ 88.008 808.885 null]
@@ -8597,73 +8609,75 @@
 330 0 obj <<
 /D [1446 0 R /XYZ 89.008 771.024 null]
 >> endobj
-1449 0 obj <<
-/D [1446 0 R /XYZ 89.008 181.225 null]
->> endobj
-1450 0 obj <<
-/D [1446 0 R /XYZ 89.008 165.569 null]
->> endobj
 1445 0 obj <<
 /Font << /F41 418 0 R /F8 356 0 R /F14 784 0 R /F61 600 0 R /F51 487 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
-1454 0 obj <<
-/Length 1992      
+1452 0 obj <<
+/Length 1955      
 /Filter /FlateDecode
 >>
 stream
-xÚÍYYoÛ8~ï¯ð[ vIɺú¸í¶è{ õl÷A±›¨/%Å
-úçw†3ÔáhÓiŒ>$¢8$53œùæ°Xìbñî™8yþ´yöò­\/ÒUùÑbs½"X¥¡¿ˆ#¹‘\lòÅßÞG!ã‹6¿ôû^¾MF{pÀ¼]ë)–"ZúáÅ2ïry]›Â—µgԍnt]IŠôÕɱðÅ/rå‹d±”0å‡tü—{øb‹Ô1òæöÂO¼,×[úö¶Æ÷›‹0ò2£³V54_f8K,í3ZäÇž¢™R7®vô»C/+:ÚxY•Ó 9d¦a!uuèZšÑˬ]Ý'ä’¹^Êp•®åC¥¼Te=°ì¸©Kæ^WÙá`ꃘ¦ò[\êôz	Y/4­àÒµmYK 	Í_iµÕnY¥ZÜ~ĵùÔ<@Ö‡Šúa[þ*\^K|Õ]Ûk»ª‰KȆÛÖEvUðΝ½éÊ23·E(àOÕY&¯¬Û'”èum¨Ø]Û¶®rÝ‚{d}¤Ô`?½Ãô—ÐÜ–¥j3í3^Âo½ŽCßËkzVuËeeQˤæp±„
-j«¯o™²W4èMŽ.g´©W½º§¾æ'M7''â}™ÆQ+êåÛp,|à'«0rÂ4ZUÙ¯µå0WÅ7,–¼f	ð“†;¯Ïèeª­	€.¹JhEÀOù
-ø™|wü”Ž‘ÿ¯ãÈ©ðæ[|
-=°¾=ëèGÝî‰^hg
-]©†¦U(0UéYSŸ,ª«24·Ó7øÅ_TÆÔæÅÅ2”ìêH“™Ùu¥s¢+º61½°mÑåê÷ª¸uˆH
-´1¡îØß2VäH8\Äœ#å¸ÊžAÅY<žÑÓfúâ¿ýxþu/”r»Wó†®`Û«d„G‹ò,Æ5``ÄòŽ­Éº¢©.Õ€Ã>b°,º²úfä%øMЗtí&Û±r³¢U†°·Â'Òå	SÀæÐrÍ‘
-‘“Õ4™sFÍô®*ô'+‚³¶¶âG¥›=ŸCPÈwf­êå™Ä:1pãX1ÒÍõ±ÅšAW´úP° ;SwXÉ© ‡Ð€q»N¿`©ò“P•ÁÆ&—\¡“?™w¼ÕŸØUVªÓü¥k5Wö~èu
-@&½“Ôˆ•¦¹EÇzzž“Ä»êv48î•E~À8µ/Ý\$G¹Lçà³Ú
-ˆË- ãè"Õ_<IpWðÙ„Zɐ)œn%«Ìª‚ÅU9ÝÉï¨d&Êiz²`¿‚ˆ°^{—ilhu­½!U„hÀKŒÒUhéL!{Óa¦ {ï—ŽX}´p]ÄOGÂÁËH8и‘åܧHˆ4ÝšÔ³¶ÚYÞ¯À»c$ò&(åVpR„´”¼–à„kðë(ÈŽµº¹ØÚ;9-%ÌÕ§|-t€EXñíºŒ§K?‰]úI8Ò%’@XT‹/×ák.B¾ë4-²^ˆðŠ–´æÖ†PœmkšShj˜’ZÂ^Ñ \+üVêý‹L}5›«ªœ‰Ù>†Ó¬n;«Óô
-fÀðq¼µŠŒ<‘ç±YA<üIw®„ɱ²W€œõNUJ·£»Ù}8
-:Ö†êò¬‹ä°ÄcɼàC'8!Œ€•á¸O¼ï‡+Ñ#r$¨ðÇ‚I
-i}!¹ëÊB²„•vA
-äC›Y,Â2Þ¦ùÙ—£´€£ú(3ë
-}ž
-A·6÷÷nœ¯	gŠÕc@‚
-È–=Œ	Y°r²éŽ9ôvåWNkª¨wgQîÁ4ôÒ”ž`Œ’ŒŒ á<Œ1aîÀĤ÷™pþ´ÅA³[›ÛÌ$*}}v·¡÷¼ VêCóü1—4y²2Þ^̸&¹êÀw'¦Uc64®òIót¦I菜ۨ'}Òˆú¤O–2¿¶®€lHnI¨eŒÊ†ö RlO0'»ï\JdQ±M…m}#	ìbock8òÀ–»UN¾þT‰á¾áã4³Ò´º(ˆÚU¹­ca6Wœ
-ÍB^}pLƒñ‡OLáÁqìzj0²RÆX Ø‰„0˜ár8¼‚B¿¶@±œÂóyÅ›·x4è­À"Òóéáý™¥†ÒµUÌ`Â8‚’’ûdãõøžsèà»y¥ãÏ5õp¶‡3zß[,ƒ?˯UŽ¦H8ù®ë‡ìÍYÆöÖß<£~ß¼wPÌqIóG¸…?s=eÖëFQ<4¢ˆ,(žÄ¹(fA€|Ei0æ8¿•äxPg@CK±±HòDñT3ð®ù€fÀ[ÑÖ!gDŽ öfø·ëûõÌv1ÏSº‰5~8Ã_4?%¦Y®8ìx6s²†v0‘Ïk*µá˜s›o´föW k¼3jêû]£ÌyR´õ×cC4®µž,NPÛ¾ƒ=‘ϧùÕ¤äÀN‘Sÿ3œç‡ßÛÖ³ì1®õKF
- ÕnW|ÎIn5‘+ð’ðK’¾x¤D“ß&"±m¿¯†ÎýT1VB"VÉ`0“Ÿ¶Žalëñ=5ȏXt¿íJ¨øãõú<Ö¸k
-Å\· KŒ;¿¨,dâ[íbE	}4õ'k~Þ<ûÿk®Á
+xÚÍYYÛ6~ϯð[d ò’:,9MºA4-6.P íƒÖ¢m":JÊfÑ?ßÎP‡×I¼iÖÈ‹Iñœó›ZÌv31{óLµ?­Ÿ]]Ëh¶Z¬–Ár¶ÞΤ«8˜%K¹K9[ç³÷ÞßB&óÖ¿öû®®ÓÑì…0n×B
+_¤~ æ~/½[›¢£>êF×}I¿œûÑJàÑ'•Óðm·£ŽæuVU&Rú8øçÐdE§qÇu˜ûAêÕ¦}#ËÀË*>²ÔUm¨»©QÙ’})Ý˜Ho2<3½¶Æ6òŠl'ÞãOݵ4Woiî`€@˜˜‡DíµnG›ˆÙ'™ùÚ þV)'°˜¤ƒ”ñc2~I” ÌJ™3j¬¨±£íâZÝê¬pçô媬D©ã$²‹m‰"èŠV
+¾þÖnR{+º?–õ’ %ÝV Ï;\¯Œ"1êŠ4u!9
+ºu°V hd­0%eˆÖENŽ¸ØLî‚ãešL	’SfïýXOUyß•
+Ì(qf¤àôئ¯®ñ°|ºFW;F
+ at S,ª\Û=FU'Ëm¦ð§Éµ¨x±Š˜ó“Dmê®ÈéÔªnÚΰnõ!3ms£YýùΗ4‘1fùíš^Œ5•L4…¸ ¦â`ÐTššKoG},ÐîLÝêßévO½
+pÒfƒk'^[ïQGY®7t4Ò³úë-¹U|Átꪸ?4IïÎIg é7g_±ø…l A›w‹Ž 
+Íš82N±‚]ò"¾"B 3cN0Ö NI)AË©ÁàD¥ZkóP͇†GÉèc?’dtEUûÊ>«Ü­õ¡íïÌZjU¶Á½ûS‚‡8 ›amäS+>_†ßlÅK?ˆÏÀÁxÓç`aì›%Z™h‡hc‡l§8zmm°ƒs¹œÕ†`Úl±±³ØXÌyÜŠÕË£c!ûå%rˆtJÊ¿_ CŠE"VŽ×9Dƒ&žy%‡{KRoˆ‰ÇpWêfÀ`’"§!ðÍ^ ß(ç­—6 ëeö šM˜ô™ê1NŸÏä*ëbGL]ö5;L}°ürà˜€Ú	ó˜†$[Ⱥƒcß~«ò±¼¾ƒä€¯åq ‚­—v)8‘
+ÚÖf¬A1 te™™{Ä]DQF¶L^ƒ¡ä)µ÷Š²§7B¹F8"÷Ž :´ºÌÚÞaz-4÷e©ZãLûhá±$¿íe¡6¯©¥´;Šú€’ihÂ1µÑÛ{žÙ+êô6GÊmêAŸ®Õ[nù6ݝˆú2›­©«ëxÌ|¤HG™›¶ÿVÒª‚
+Ÿ×L‚È+£À5zcù~†r‘¦ß?åø™žŸËó4-# ˆ’å¸ð‰’ØëÛ³ÜhžR)œ/´#…®¨nˆ½FÊ&OÖÔ'‹jˆë†ÆvšS"šRÆÔŠºXJ°«;ÌÌ®³¹sO‰®NÖu›¢ËÕ1$’ ¹ªcËX“ª.r”Ûtm¯9³ Pq ĉ2œÑÓfºñß^žÝ壜ð¡j^“
+6½HFXA‰¦K û –wlMTðšêR½8ìã Ë¢+«§bà­ºs8D’ÖM¶cÙfE«8—Œð\Jä#I9‚`
+ØZ¸¸·†ÈÉ f™sF½íë5ýÁòà¬Í½$PÉÖìù®¬IgÖª®žJÂGløPäC‘ÓEøiqS¶d‚•œp
+w¡³ëôv*?
+Ué¨ÐŸÖ=OÄúµþäØ構	{]ãfseõ㊬¦OVh`›[ë>9Í)?Ï`çnOï"Ð}‡qj
+^ºž§¡G¹çà³Ú2ˆË©–…Þ
+Dª¿xà®à³	µÒ!S8ÞJV	µ‚Å)T}d-ac¡ü¥Ó9Á0áÒé#
+í ®ÈREˆ¼Ä(õ~ïÙë0Ø{‘JI¢‹«sð1bkk±´”	q£¦[³ò¨2´´ßÚ˜äMr! F)bZJ^
+;[ðë(HŽµºSVÐ;9-¥}£èS¾–:À"¬¸˜,ƒtô¤ñH–8Ì¢Xé¼—Ðs³|ÓiZd½;à…-iͽ
+¡8ÚÖ4¦ÐÔ80%µ{E>ráûHóXdê[ÿÔ»h¡Ê1›ÁÇpšå^ƒÂék Qky*/#g~;ýóÁ3&DÊ^rÖ;U)ÝŽJìfcôá8èXªËKnÿTø–c,y‡
+>2t‚ÂX+ñÔû!pÅ2*äˆQŒ…))äK~Ø;ve!™ÃÐr» …Grˆ®Í¬aoÓÜŽüpG˜è£ÌIoèóTºîMëso7ÎWèo„¢Xü0äÞñèÍØ`¢eÁbÈɦ;N¡÷ôñ·—š*êÝÅE”û,˜ÆÞjE-Ø£$##h|Æxâԁ©5H1~hÂñ‡È8J]œQ}}öðAïyA¤Ô‡æù%ž}Ï0—U:ý_F¦M%Ãh±ŒC:nLÖü¼~ö38l0
 endstream
 endobj
-1453 0 obj <<
+1451 0 obj <<
 /Type /Page
-/Contents 1454 0 R
-/Resources 1452 0 R
+/Contents 1452 0 R
+/Resources 1450 0 R
 /MediaBox [0 0 595.276 841.89]
-/Parent 1451 0 R
+/Parent 1449 0 R
 >> endobj
+1453 0 obj <<
+/D [1451 0 R /XYZ 55.693 808.885 null]
+>> endobj
+1454 0 obj <<
+/D [1451 0 R /XYZ 89.008 689.385 null]
+>> endobj
 1455 0 obj <<
-/D [1453 0 R /XYZ 55.693 808.885 null]
+/D [1451 0 R /XYZ 89.008 673.445 null]
 >> endobj
-1452 0 obj <<
+1450 0 obj <<
 /Font << /F14 784 0 R /F8 356 0 R /F61 600 0 R /F51 487 0 R >>
 /ProcSet [ /PDF /Text ]
 >> endobj
 1458 0 obj <<
-/Length 2190      
+/Length 2215      
 /Filter /FlateDecode
 >>
 stream
-xÚ½YY“Û¸~÷¯˜GªÊ¢	ÞÌÛÚko9•õnÙJ*UI0"Fƒ@Íx²>ÝèI5Sã-Í‹DЍ¯¿>]í®¢«_ÞDGÿï7oÞ}ÊÅUVyœ_mn®Dœ…"N®Š\„Œlꫬþ³ùëøÒ»Oåü…(,¢
-ÜÌ/êaµN’$Í®7z¸m-¶ÓàæÐmÝw4úï(‹º~ †îhÊ~%¹]ÅEp·Êò@îÔ_Vë4ÍxB·ŠÔwÙîÅK×Ú¨íЛGXU„GG]·æîE–éKeûÝô;£¬¥3ô|êV~×í*.ƒCK¾Ã&UÀ3ÈtÛ¯ÖÐA¿5MÚrK]ð¼ï;Ø$ŽAÛ"ý®,h3)«`o@Ÿ°÷@ƒîœí~À®Gî‚P©¥f½ZÃ}üzÞBO
[TRUNCATED]

To get the complete diff run:
    svnlook diff /svnroot/rsiena -r 128


More information about the Rsiena-commits mailing list