BSgenome/DESCRIPTION0000644000126300012640000000211312227133625015342 0ustar00biocbuildphs_compbioPackage: BSgenome Title: Infrastructure for Biostrings-based genome data packages Description: Infrastructure shared by all the Biostrings-based genome data packages Version: 1.30.0 Author: Herve Pages Maintainer: H. Pages biocViews: Genetics, Infrastructure, DataRepresentation, SequenceMatching, Annotation, SNP Depends: R (>= 2.8.0), methods, BiocGenerics (>= 0.1.2), IRanges (>= 1.13.6), GenomicRanges (>= 1.11.46), Biostrings (>= 2.23.3) Import: methods, BiocGenerics, IRanges, GenomicRanges, Biostrings Suggests: RUnit, BSgenome.Celegans.UCSC.ce2 (>= 1.3.11), BSgenome.Hsapiens.UCSC.hg19 (>= 1.3.11), SNPlocs.Hsapiens.dbSNP.20100427, hgu95av2probe, Biobase License: Artistic-2.0 LazyLoad: yes Collate: utils.R available.genomes.R GenomeDescription-class.R SNPlocs-class.R InjectSNPsHandler-class.R BSgenome-class.R injectSNPs.R getSeq-methods.R bsapply.R BSgenome-utils.R GenomeData-class.R GenomeDataList-class.R gdapply.R gdReduce.R BSgenomeForge.R Packaged: 2013-10-15 03:33:41 UTC; biocbuild BSgenome/NAMESPACE0000644000126300012640000000314612227064204015056 0ustar00biocbuildphs_compbioimport(methods) import(BiocGenerics) import(IRanges) import(GenomicRanges) import(Biostrings) exportClasses( GenomeDescription, SNPlocs, InjectSNPsHandler, BSgenome, GenomeData, GenomeDataList, ## BSgenomeForge classes: BSgenomeDataPkgSeed ) export( ## Non-generic functions: installed.genomes, available.genomes, GenomeDescription, newSNPlocs, BSgenome, installed.SNPs, available.SNPs, bsapply, GenomeData, GenomeDataList, ## Generic functions: organism, species, provider, providerVersion, releaseDate, releaseName, bsgenomeName, referenceGenome, compatibleGenomes, snpcount, snplocs, snpid2loc, snpid2alleles, snpid2grange, sourceUrl, SNPlocs, SNPlocs_pkgname, SNPcount, mseqnames, masknames, injectSNPs, gdapply, gdApply, gdReduce, gdreduce, ## BSgenomeForge functions: forgeSeqlengthsFile, forgeSeqFiles, forgeMasksFiles, forgeBSgenomeDataPkg ) exportMethods( ## Methods for generics defined elsewhere: names, show, length, "[[", "$", score, getSeq, matchPWM, countPWM, vmatchPattern, vcountPattern, ## Methods for generics defined in this package: organism, species, provider, providerVersion, releaseDate, releaseName, bsgenomeName, seqinfo, "seqinfo<-", seqnames, referenceGenome, compatibleGenomes, snpcount, snplocs, snpid2loc, snpid2alleles, snpid2grange, sourceUrl, SNPlocs, SNPlocs_pkgname, SNPcount, mseqnames, masknames, injectSNPs, gdapply, gdReduce, ## BSgenomeForge methods: forgeBSgenomeDataPkg ) BSgenome/NEWS0000644000126300012640000000076312227064204014340 0ustar00biocbuildphs_compbioCHANGES IN VERSION 1.28.0 ------------------------- NEW FEATURES o Add seqnames() setter for BSgenome objects so users can rename the single sequences in those objects. This has been a popular user request for a while. SIGNIFICANT USER-VISIBLE CHANGES o Add sanity check to "getSeq" method for BSgenome objects, raising an error if the supplied BSgenome and GRanges objects are based on incompatible reference genomes. MISCELLANEOUS o Started the NEWS file (this file). BSgenome/R/0000755000126300012640000000000012227064177014045 5ustar00biocbuildphs_compbioBSgenome/R/BSgenome-class.R0000644000126300012640000004465412227064177017007 0ustar00biocbuildphs_compbio### ========================================================================= ### The "BSgenome" class ### ------------------------------------------------------------------------- setClass("BSgenome", contains="GenomeDescription", representation( ## source_url: permanent URL to the place where the FASTA files used ## to produce the sequences below can be found (and downloaded) source_url="character", ## named vector representing the translation table from the original ## seqnames (as stored in self@seqinfo@seqnames, the 'seqinfo' slot ## being inherited from the GenomeDescription class) to the user ## seqnames user_seqnames="character", ## mseqnames: names of "multiple" sequences (e.g. upstream) mseqnames="character", ## where to find the serialized objects containing the sequences seqs_pkgname="character", seqs_dirpath="character", ## where to find the serialized objects containing the masks nmask_per_seq="integer", masks_pkgname="character", masks_dirpath="character", ## for SNPs injection injectSNPs_handler="InjectSNPsHandler", .seqs_cache="environment", .link_counts="environment" ) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Low-level helper functions used for delayed-loading/caching/unloading the ### sequences. ### .getObjFilepath <- function(objname, objdir) { ## Should never happen. if (objdir == "") ## TODO: Put this kind of checking in a validity method for BSgenome ## objects (that's what validity methods are for). stop("internal anomaly: objdir is \"\"") filename <- paste(objname, ".rda", sep="") filepath <- file.path(objdir, filename) if (!file.exists(filepath)) stop("file '", filepath, "' doesn't exist") filepath } .loadSingleObject <- function(objname, objdir, objpkgname) { filepath <- .getObjFilepath(objname, objdir) tmp_env <- new.env(parent=emptyenv()) loaded_names <- load(filepath, envir=tmp_env) ## Check that we get only 1 object if (length(loaded_names) != 1L) stop("file '", filepath, "' contains 0 or more than 1 serialized object. ", "May be the ", objpkgname, " package is corrupted?") ## ... and that it has the expected name if (loaded_names != objname) stop("the serialized object in file '", filepath, "' ", "doesn't have the expected name. ", "May be the ", objpkgname, " package is corrupted?") ans <- get(objname, envir=tmp_env) ## TODO: This is temporary code to make temporarily broken BSgenome ## data packages work despite the big internal renaming I made in ## IRanges >= 1.3.76. Remove it after all the BSgenome data packages ## have been reforged. if (is(ans, "XString") || is(ans, "XStringSet")) ans <- updateObject(ans) return(ans) } ### Return a new link to a cached object. ### 'objname' is the name of the cached object. ### 'cache' is the caching environment. ### 'link_counts' is the environment where we keep track of the number of links ### for each cached object. When the number of links for a given cached object ### reaches 0, then it is removed from the cache. .newLinkToCachedObject <- function(objname, cache, link_counts) { ans <- new.env(parent=emptyenv()) if (exists(objname, envir=link_counts, inherits=FALSE)) link_count0 <- get(objname, envir=link_counts, inherits=FALSE) + 1L else link_count0 <- 1L reg.finalizer(ans, function(e) { link_count <- get(objname, envir=link_counts, inherits=FALSE) - 1L assign(objname, link_count, envir=link_counts) if (link_count == 0) { if (getOption("verbose")) cat("uncaching ", objname, "\n", sep="") remove(list=objname, envir=cache) } } ) assign(objname, link_count0, envir=link_counts) ans } setGeneric(".linkToCachedObject<-", signature="x", function(x, value) standardGeneric(".linkToCachedObject<-") ) setReplaceMethod(".linkToCachedObject", "SharedVector", function(x, value) { x@.link_to_cached_object <- value x } ) setReplaceMethod(".linkToCachedObject", "XString", function(x, value) { .linkToCachedObject(x@shared) <- value x } ) setReplaceMethod(".linkToCachedObject", "MaskedXString", function(x, value) { .linkToCachedObject(x@unmasked) <- value x } ) setReplaceMethod(".linkToCachedObject", "XStringSet", function(x, value) { ### This means that an XStringSet object with a "pool" slot of ### length != 1 will be permanently cached. if (length(x@pool) == 1L) x@pool@.link_to_cached_object_list[[1L]] <- value x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The names of the built-in masks. ### BUILTIN_MASKNAMES <- c("AGAPS", "AMB", "RM", "TRF") ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Accessor methods. ### setMethod("length", "BSgenome", function(x) length(names(x))) setGeneric("sourceUrl", function(x) standardGeneric("sourceUrl")) setMethod("sourceUrl", "BSgenome", function(x) x@source_url) setMethod("SNPlocs_pkgname", "BSgenome", function(x) SNPlocs_pkgname(x@injectSNPs_handler) ) setMethod("SNPcount", "BSgenome", function(x) SNPcount(x@injectSNPs_handler) ) setMethod("SNPlocs", "BSgenome", function(x, seqname) SNPlocs(x@injectSNPs_handler, seqname) ) setGeneric("mseqnames", function(x) standardGeneric("mseqnames")) setMethod("mseqnames", "BSgenome", function(x) { if (length(x@mseqnames) == 0L) NULL else x@mseqnames } ) setMethod("names", "BSgenome", function(x) c(seqnames(x), mseqnames(x))) setGeneric("masknames", function(x) standardGeneric("masknames")) setMethod("masknames", "BSgenome", function(x) { if (x@nmask_per_seq == 0L) return(NULL) ## TODO: Put this kind of checking in a validity method for BSgenome ## objects (that's what validity methods are for). if (x@nmask_per_seq > length(BUILTIN_MASKNAMES)) stop("internal anomaly: x@nmask_per_seq > ", length(BUILTIN_MASKNAMES)) BUILTIN_MASKNAMES[seq_len(x@nmask_per_seq)] } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### seqinfo() accessor and related. ### setMethod("seqinfo", "BSgenome", function(x) { ans <- x@seqinfo seqlevels(ans) <- x@user_seqnames ans } ) ### This is a restricted "seqinfo<-" method for BSgenome objects that ### only supports replacement of the sequence names, i.e., except for their ### sequence names, Seqinfo objects 'value' and 'seqinfo(x)' must be identical. setReplaceMethod("seqinfo", "BSgenome", function(x, new2old=NULL, force=FALSE, value) { if (!is(value, "Seqinfo")) stop("the supplied 'seqinfo' must be a Seqinfo object") IN_THIS_CONTEXT <- paste0("when replacing the 'seqinfo' ", "of a BSgenome object") if (!identical(force, FALSE)) stop("'force' not supported ", IN_THIS_CONTEXT) x_seqinfo <- seqinfo(x) if (is.null(new2old)) { ## Support no-op seqinfo(x) <- seqinfo(x). if (!identical(value, x_seqinfo)) stop("'new2old' must be specified ", IN_THIS_CONTEXT) return(x) } if (length(value) != length(x_seqinfo)) stop("the supplied 'seqinfo' must have the same length ", "as the current 'seqinfo' ", IN_THIS_CONTEXT) if (!identical(new2old, seq_along(value))) stop("'new2old' must be NULL or equal to 'seq_along(value)' ", IN_THIS_CONTEXT) new_seqnames <- seqnames(value) seqnames(x_seqinfo) <- new_seqnames if (!identical(value, x_seqinfo)) stop("the supplied and current 'seqinfo' can differ only ", "in their sequence names ", IN_THIS_CONTEXT) if (any(new_seqnames %in% mseqnames(x))) stop("the supplied 'seqnames' cannot match any of the ", "multiple sequence names (as returned by 'mseqnames(x)')") x@user_seqnames[] <- new_seqnames # using [] to preserve the names x } ) setReplaceMethod("seqnames", "BSgenome", function(x, value) { x_seqinfo <- seqinfo(x) seqnames(x_seqinfo) <- value seqinfo(x, new2old=seq_along(x_seqinfo)) <- x_seqinfo x } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructor-like functions and generics ### .makeSeqinfo <- function(seqnames, circ_seqs, seqs_pkgname, seqs_dirpath, provider_version) { objname <- "seqlengths" seqlengths <- .loadSingleObject(objname, seqs_dirpath, seqs_pkgname) if (!identical(names(seqlengths), seqnames)) { filepath <- .getObjFilepath(objname, seqs_dirpath) stop("sequence names found in file '", filepath, "' are not ", "identical to 'seqnames'. ", "May be the ", seqs_pkgname, " package is corrupted?") } if (identical(circ_seqs, NA)) is_circ <- NA else is_circ <- seqnames %in% circ_seqs Seqinfo(seqnames=seqnames, seqlengths=seqlengths, isCircular=is_circ, genome=provider_version) } BSgenome <- function(organism, species, provider, provider_version, release_date, release_name, source_url, seqnames, circ_seqs=NA, mseqnames, seqs_pkgname, seqs_dirpath, nmask_per_seq, masks_pkgname, masks_dirpath) { seqinfo <- .makeSeqinfo(seqnames, circ_seqs, seqs_pkgname, seqs_dirpath, provider_version) user_seqnames <- seqnames(seqinfo) names(user_seqnames) <- user_seqnames if (is.null(mseqnames)) mseqnames <- character(0) new("BSgenome", GenomeDescription(organism, species, provider, provider_version, release_date, release_name, seqinfo), source_url=source_url, user_seqnames=user_seqnames, mseqnames=mseqnames, seqs_pkgname=seqs_pkgname, seqs_dirpath=seqs_dirpath, nmask_per_seq=as.integer(nmask_per_seq), masks_pkgname=masks_pkgname, masks_dirpath=masks_dirpath, .seqs_cache=new.env(parent=emptyenv()), .link_counts=new.env(parent=emptyenv()) ) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The 'show' method ### .SHOW_BSGENOME_PREFIX <- "| " .SHOW_SEQSECTION_PREFIX <- "| " setMethod("show", "BSgenome", function(object) { mystrwrap <- function(line) writeLines(strwrap(line, width=getOption("width")+1, exdent=0L, prefix=.SHOW_BSGENOME_PREFIX)) showSequenceIndex <- function(names, prefix) { index_width <- getOption("width") + 2L - nchar(prefix) col_width <- max(nchar(names)) ncols <- index_width %/% (col_width + 2L) col <- 1L for (name in names) { if (col == 1L) cat(prefix) cat(format(name, width=col_width)) if (col == ncols) { cat("\n") col <- 1L } else { cat(" ") col <- col + 1L } } if (col != 1L) cat("\n") } if (!is.na(object@species)) { cat(object@species, "genome\n") cat(.SHOW_BSGENOME_PREFIX, "\n", sep="") } showGenomeDescription(object, margin=.SHOW_BSGENOME_PREFIX) if (!is.null(SNPlocs_pkgname(object))) cat(.SHOW_BSGENOME_PREFIX, "with SNPs injected from package: ", SNPlocs_pkgname(object), "\n", sep="") cat(.SHOW_BSGENOME_PREFIX, "\n", sep="") if (length(mseqnames(object)) != 0L) mystrwrap("single sequences (see '?seqnames'):") else mystrwrap("sequences (see '?seqnames'):") if (length(seqnames(object)) != 0L) showSequenceIndex(seqnames(object), .SHOW_SEQSECTION_PREFIX) else cat(.SHOW_SEQSECTION_PREFIX, "NONE\n", sep="") cat(.SHOW_BSGENOME_PREFIX, "\n", sep="") if (length(mseqnames(object)) != 0L) { mystrwrap("multiple sequences (see '?mseqnames'):") showSequenceIndex(mseqnames(object), .SHOW_SEQSECTION_PREFIX) cat(.SHOW_BSGENOME_PREFIX, "\n", sep="") } mystrwrap("(use the '$' or '[[' operator to access a given sequence)") } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Subsetting. ### .loadBSgenomeSequence <- function(objname, bsgenome, user_seqname) { seqs_pkgname <- bsgenome@seqs_pkgname seqs_dirpath <- bsgenome@seqs_dirpath nmask_per_seq <- length(masknames(bsgenome)) masks_pkgname <- bsgenome@masks_pkgname masks_dirpath <- bsgenome@masks_dirpath ans <- .loadSingleObject(objname, seqs_dirpath, seqs_pkgname) if (!is(ans, "XString")) return(ans) ## Check the length of the sequence if (length(ans) != seqlengths(bsgenome)[[user_seqname]]) { seq_filepath <- .getObjFilepath(objname, seqs_dirpath) stop("sequence found in file '", seq_filepath, "' does ", "not have the length reported by seqlengths(). ", "May be the ", seqs_pkgname, " package is corrupted?") } ## Inject the SNPs, if any snps <- SNPlocs(bsgenome, objname) if (!is.null(snps)) .inplaceReplaceLetterAt(ans, snps$loc, snps$alleles_as_ambig) ## Load and set the built-in masks, if any if (nmask_per_seq > 0L) { masks_objname <- paste(objname, ".masks", sep="") builtinmasks <- .loadSingleObject(masks_objname, masks_dirpath, masks_pkgname) if (length(builtinmasks) < nmask_per_seq) { masks_filepath <- .getObjFilepath(masks_objname, masks_dirpath) stop("expecting ", nmask_per_seq, " built-in masks per ", "single sequence, found only ", length(builtinmasks), " in file '", masks_filepath, "'. ", "May be the ", masks_pkgname, " package is corrupted?") } if (length(builtinmasks) > nmask_per_seq) builtinmasks <- builtinmasks[seq_len(nmask_per_seq)] if (!identical(names(builtinmasks), masknames(bsgenome))) { masks_filepath <- .getObjFilepath(masks_objname, masks_dirpath) stop("mask names found in file '", masks_filepath, "' are not ", "identical to the names returned by masknames(). ", "May be the ", masks_pkgname, " package is corrupted?") } masks(ans) <- builtinmasks } ans } .getBSgenomeSequence <- function(objname, bsgenome, user_seqname) { seqs_cache <- bsgenome@.seqs_cache ## Using the 'if (!exists()) assign(); get()' approach is NOT 100% ## reliable: ## ## if (!exists(objname, envir=seqs_cache, inherits=FALSE)) { ## ... ## assign(objname, ans, envir=seqs_cache) ## } ## get(objname, envir=seqs_cache, inherits=FALSE) ## ## because the symbol (objname) can disappear from the cache between ## the moment we test for its presence and the moment we try to get it. ## It's not me being paranoid, we've seen this happen! One possible ## explanation for this is that the symbol was candidate for removal ## from the cache but that removal didn't happen yet because gc() had ## not yet been called (removal from the cache is implemented thru the ## finalizers registered on the objects that are copied from the cache ## and made available to the user). Then the call to get() would trigger ## garbbage collection and that in turn would trigger the removal of ## the symbol *before* get() had a chance to get to it. So now we use ## the 'try(get(...))' approach, which hopefully is 100% reliable! ans <- try(get(objname, envir=seqs_cache, inherits=FALSE), silent=TRUE) if (is(ans, "try-error")) { ans <- .loadBSgenomeSequence(objname, bsgenome, user_seqname) if (getOption("verbose")) cat("caching ", objname, "\n", sep="") assign(objname, ans, envir=seqs_cache) } .linkToCachedObject(ans) <- .newLinkToCachedObject( objname, seqs_cache, bsgenome@.link_counts) ans } setMethod("[[", "BSgenome", function(x, i, j, ...) { ## 'x' is guaranteed to be a "BSgenome" object (if it's not, then the ## method dispatch algo will not even call this method), so nargs() is ## guaranteed to be >= 1 if (nargs() >= 3L) stop("too many subscripts") subscripts <- list(...) if (!missing(i)) subscripts$i <- i if (!missing(j)) subscripts$j <- j ## At this point, 'subscripts' should be guaranteed ## to be of length <= 1 if (length(subscripts) == 0L) stop("no index specified") i <- subscripts[[1]] if (length(i) < 1) stop("attempt to select less than one element") if (length(i) > 1) stop("attempt to select more than one element") if (is.character(i)) { name <- try(match.arg(i, names(x)), silent=TRUE) if (is(name, "try-error")) stop("no such sequence") } else { if (!is.numeric(i) || is.na(i)) stop("no such sequence") i <- as.integer(i) if (i < 1L || length(x) < i) stop("no such sequence") name <- names(x)[i] } ## Translate user-supplied sequence named back to original name. idx <- match(name, x@user_seqnames) if (is.na(idx)) { objname <- name } else { objname <- names(x@user_seqnames)[[idx]] } .getBSgenomeSequence(objname, x, name) } ) setReplaceMethod("[[", "BSgenome", function(x, i, j,..., value) { stop("attempt to modify the value of a \"BSgenome\" object") } ) setMethod("$", "BSgenome", function(x, name) x[[name]] ) BSgenome/R/BSgenome-utils.R0000644000126300012640000005431412227064177017034 0ustar00biocbuildphs_compbio## vmatchPattern/vcountPattern for BSgenome setMethod("vmatchPattern", "BSgenome", function(pattern, subject, max.mismatch=0, min.mismatch=0, with.indels=FALSE, fixed=TRUE, algorithm="auto", exclude="", maskList=logical(0), userMask=RangesList(), invertUserMask=FALSE, asRangedData=FALSE) { matchFUN <- function(posPattern, negPattern, chr, seqlengths, max.mismatch = max.mismatch, min.mismatch = min.mismatch, with.indels = with.indels, fixed = fixed, algorithm = algorithm) { posMatches <- matchPattern(pattern = posPattern, subject = chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, with.indels = with.indels, fixed = fixed, algorithm = algorithm) negMatches <- matchPattern(pattern = negPattern, subject = chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, with.indels = with.indels, fixed = fixed, algorithm = algorithm) COUNTER <<- COUNTER + 1L seqnames <- names(seqlengths) GRanges(seqnames = Rle(factor(seqnames[COUNTER], levels = seqnames), length(posMatches) + length(negMatches)), ranges = c(as(posMatches, "IRanges"), as(negMatches, "IRanges")), strand = Rle(strand(c("+", "-")), c(length(posMatches), length(negMatches))), seqlengths = seqlengths) } if (!is(pattern, "DNAString")) pattern <- DNAString(pattern) algorithm <- Biostrings:::normargAlgorithm(algorithm) if (Biostrings:::isCharacterAlgo(algorithm)) stop("'subject' must be a single (non-empty) string ", "for this algorithm") pattern <- Biostrings:::normargPattern(pattern, DNAStringSet()) max.mismatch <- Biostrings:::normargMaxMismatch(max.mismatch) min.mismatch <- Biostrings:::normargMinMismatch(min.mismatch, max.mismatch) with.indels <- Biostrings:::normargWithIndels(with.indels) fixed <- Biostrings:::normargFixed(fixed, DNAStringSet()) if (!missing(asRangedData)) { msg <- c("the 'asRangedData' argument is deprecated ", "and will be removed soon") .Deprecated(msg=msg) } if (asRangedData) { msg <- "using 'asRangedData=TRUE' is defunct" .Defunct(msg=msg) } posPattern <- pattern negPattern <- reverseComplement(posPattern) bsParams <- new("BSParams", X = subject, FUN = matchFUN, exclude = exclude, simplify = FALSE, maskList = logical(0), userMask = userMask, invertUserMask = invertUserMask) COUNTER <- 0L seqlengths <- seqlengths(subject) matches <- bsapply(bsParams, posPattern = posPattern, negPattern = negPattern, seqlengths = seqlengths, max.mismatch = max.mismatch, min.mismatch = min.mismatch, with.indels = with.indels, fixed = fixed, algorithm = algorithm) nms <- factor(names(matches), levels = names(seqlengths)) nms <- nms[unlist(lapply(matches, length), use.names=FALSE) > 0] matches <- do.call(c, unname(as.list(matches))) runValue(seqnames(matches)) <- nms matches } ) setMethod("vcountPattern", "BSgenome", function(pattern, subject, max.mismatch=0, min.mismatch=0, with.indels=FALSE, fixed=TRUE, algorithm="auto", exclude="", maskList=logical(0), userMask=RangesList(), invertUserMask=FALSE) { countFUN <- function(posPattern, negPattern, chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, with.indels = with.indels, fixed = fixed, algorithm = algorithm) { data.frame(strand = strand(c("+", "-")), count = c(countPattern(pattern = posPattern, subject = chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, with.indels = with.indels, fixed = fixed, algorithm = algorithm), countPattern(pattern = negPattern, subject = chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, with.indels = with.indels, fixed = fixed, algorithm = algorithm))) } if (!is(pattern, "DNAString")) pattern <- DNAString(pattern) algorithm <- Biostrings:::normargAlgorithm(algorithm) if (Biostrings:::isCharacterAlgo(algorithm)) stop("'subject' must be a single (non-empty) string ", "for this algorithm") pattern <- Biostrings:::normargPattern(pattern, DNAStringSet()) max.mismatch <- Biostrings:::normargMaxMismatch(max.mismatch) min.mismatch <- Biostrings:::normargMinMismatch(min.mismatch, max.mismatch) with.indels <- Biostrings:::normargWithIndels(with.indels) fixed <- Biostrings:::normargFixed(fixed, DNAStringSet()) posPattern <- pattern negPattern <- reverseComplement(posPattern) bsParams <- new("BSParams", X = subject, FUN = countFUN, exclude = exclude, simplify = FALSE, maskList = logical(0), userMask = userMask, invertUserMask = invertUserMask) counts <- bsapply(bsParams, posPattern = posPattern, negPattern = negPattern, max.mismatch = max.mismatch, min.mismatch = min.mismatch, with.indels = with.indels, fixed = fixed, algorithm = algorithm) cbind(data.frame(seqname = rep(factor(names(counts), levels = names(counts)), each = 2)), do.call(rbind, unname(as.list(counts)))) } ) ## vmatchPDict/vcountPDict for BSgenome setMethod("vmatchPDict", "BSgenome", function(pdict, subject, max.mismatch=0, min.mismatch=0, fixed=TRUE, algorithm="auto", verbose=FALSE, exclude="", maskList=logical(0), asRangedData=FALSE) { matchFUN <- function(posPDict, negPDict, chr, seqlengths, max.mismatch = max.mismatch, min.mismatch = min.mismatch, fixed = fixed, algorithm = algorithm, verbose = verbose) { posMatches <- matchPDict(pdict = posPDict, subject = chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, fixed = fixed, algorithm = algorithm, verbose = verbose) posCounts <- elementLengths(posMatches) negMatches <- matchPDict(pdict = negPDict, subject = chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, fixed = fixed, algorithm = algorithm, verbose = verbose) negCounts <- elementLengths(negMatches) COUNTER <<- COUNTER + 1L seqnames <- names(seqlengths) GRanges(seqnames = Rle(factor(seqnames[COUNTER], levels = seqnames), sum(posCounts) + sum(negCounts)), ranges = c(unlist(posMatches), unlist(negMatches)), strand = Rle(strand(rep(c("+", "-"))), c(sum(posCounts), sum(negCounts))), index = c(Rle(seq_len(length(posMatches)), posCounts), Rle(seq_len(length(negMatches)), negCounts)), seqlengths = seqlengths) } if (is(pdict, "PDict")) stop("'pdict' must be a DNAStringSet object ") if (!is(pdict, "DNAStringSet")) pdict <- DNAStringSet(pdict) max.mismatch <- Biostrings:::normargMaxMismatch(max.mismatch) min.mismatch <- Biostrings:::normargMinMismatch(min.mismatch, max.mismatch) fixed <- Biostrings:::normargFixed(fixed, DNAStringSet()) algorithm <- Biostrings:::normargAlgorithm(algorithm) if (Biostrings:::isCharacterAlgo(algorithm)) stop("'subject' must be a single (non-empty) string ", "for this algorithm") if (!isTRUEorFALSE(verbose)) stop("'verbose' must be TRUE or FALSE") if (!missing(asRangedData)) { msg <- c("the 'asRangedData' argument is deprecated ", "and will be removed soon") .Deprecated(msg=msg) } if (asRangedData) { msg <- "using 'asRangedData=TRUE' is defunct" .Defunct(msg=msg) } posPDict <- pdict negPDict <- reverseComplement(posPDict) bsParams <- new("BSParams", X = subject, FUN = matchFUN, exclude = exclude, simplify = FALSE, maskList = logical(0)) COUNTER <- 0L seqlengths <- seqlengths(subject) matches <- bsapply(bsParams, posPDict = PDict(posPDict, max.mismatch = max.mismatch), negPDict = PDict(negPDict, max.mismatch = max.mismatch), seqlengths = seqlengths, max.mismatch = max.mismatch, min.mismatch = min.mismatch, fixed = fixed, algorithm = algorithm, verbose = verbose) nms <- factor(names(matches), levels = names(seqlengths)) nms <- nms[unlist(lapply(matches, length), use.names=FALSE) > 0] matches <- do.call(c, unname(as.list(matches))) runValue(seqnames(matches)) <- nms matches } ) setMethod("vcountPDict", "BSgenome", function(pdict, subject, max.mismatch=0, min.mismatch=0, fixed=TRUE, algorithm="auto", collapse=FALSE, weight=1L, verbose=FALSE, exclude="", maskList=logical(0)) { countFUN <- function(posPDict, negPDict, chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, fixed = fixed, algorithm = algorithm, verbose = verbose) { posCounts <- countPDict(pdict = posPDict, subject = chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, fixed = fixed, algorithm = algorithm, verbose = verbose) negCounts <- countPDict(pdict = negPDict, subject = chr, max.mismatch = max.mismatch, min.mismatch = min.mismatch, fixed = fixed, algorithm = algorithm, verbose = verbose) DataFrame(strand = Rle(strand(c("+", "-")), c(length(posCounts), length(negCounts))), index = c(seq_len(length(posCounts)), seq_len(length(negCounts))), count = c(Rle(posCounts), Rle(negCounts))) } if (is(pdict, "PDict")) stop("'pdict' must be a DNAStringSet object ") if (!is(pdict, "DNAStringSet")) pdict <- DNAStringSet(pdict) max.mismatch <- Biostrings:::normargMaxMismatch(max.mismatch) min.mismatch <- Biostrings:::normargMinMismatch(min.mismatch, max.mismatch) fixed <- Biostrings:::normargFixed(fixed, DNAStringSet()) algorithm <- Biostrings:::normargAlgorithm(algorithm) if (Biostrings:::isCharacterAlgo(algorithm)) stop("'subject' must be a single (non-empty) string ", "for this algorithm") if (!identical(collapse, FALSE)) stop("'collapse' is not supported in BSgenome method") if (!identical(weight, 1L)) stop("'weight' is not supported in BSgenome method") if (!isTRUEorFALSE(verbose)) stop("'verbose' must be TRUE or FALSE") posPDict <- pdict negPDict <- reverseComplement(posPDict) bsParams <- new("BSParams", X = subject, FUN = countFUN, exclude = exclude, simplify = FALSE, maskList = logical(0)) counts <- bsapply(bsParams, posPDict = PDict(posPDict, max.mismatch = max.mismatch), negPDict = PDict(negPDict, max.mismatch = max.mismatch), max.mismatch = max.mismatch, min.mismatch = min.mismatch, fixed = fixed, algorithm = algorithm, verbose = verbose) DataFrame(DataFrame(seqname = Rle(factor(names(counts), levels = names(counts)), unlist(lapply(counts, nrow), use.names = FALSE))), do.call(rbind, unname(as.list(counts)))) } ) ## matchPWM/countPWM for BSgenome setMethod("matchPWM", "BSgenome", function(pwm, subject, min.score="80%", exclude="", maskList=logical(0), asRangedData=FALSE) { matchFUN <- function(posPWM, negPWM, chr, seqlengths, min.score) { posMatches <- matchPWM(pwm = posPWM, subject = chr, min.score = min.score) posScores <- PWMscoreStartingAt(pwm = posPWM, subject = chr, starting.at = start(posMatches)) negMatches <- matchPWM(pwm = negPWM, subject = chr, min.score = min.score) negScores <- PWMscoreStartingAt(pwm = negPWM, subject = chr, starting.at = start(negMatches)) COUNTER <<- COUNTER + 1L seqnames <- names(seqlengths) GRanges(seqnames = Rle(factor(seqnames[COUNTER], levels = seqnames), length(posMatches) + length(negMatches)), ranges = c(as(posMatches, "IRanges"), as(negMatches, "IRanges")), strand = Rle(strand(c("+", "-")), c(length(posMatches), length(negMatches))), score = c(posScores, negScores), string = c(as.character(posMatches), as.character(reverseComplement(DNAStringSet(negMatches)))), seqlengths = seqlengths) } ## checking 'pwm' pwm <- Biostrings:::.normargPwm(pwm) ## checking 'min.score' min.score <- Biostrings:::.normargMinScore(min.score, pwm) if (!missing(asRangedData)) { msg <- c("the 'asRangedData' argument is deprecated ", "and will be removed soon") .Deprecated(msg=msg) } if (asRangedData) { msg <- "using 'asRangedData=TRUE' is defunct" .Defunct(msg=msg) } posPWM <- pwm[DNA_BASES, , drop = FALSE] negPWM <- reverseComplement(posPWM) bsParams <- new("BSParams", X = subject, FUN = matchFUN, exclude = exclude, simplify = FALSE, maskList = logical(0)) COUNTER <- 0L seqlengths <- seqlengths(subject) matches <- bsapply(bsParams, posPWM = posPWM, negPWM = negPWM, seqlengths = seqlengths, min.score = min.score) nms <- factor(names(matches), levels = names(seqlengths)) nms <- nms[unlist(lapply(matches, length), use.names=FALSE) > 0] matches <- do.call(c, unname(as.list(matches))) runValue(seqnames(matches)) <- nms ## create compact DNAStringSet string <- factor(elementMetadata(matches)[["string"]]) elementMetadata(matches)[["string"]] <- DNAStringSet(levels(string))[as.integer(string)] matches } ) setMethod("countPWM", "BSgenome", function(pwm, subject, min.score="80%", exclude="", maskList=logical(0)) { countFUN <- function(posPWM, negPWM, chr, min.score) { data.frame(strand = strand(c("+", "-")), count = c(countPWM(pwm = posPWM, subject = chr, min.score = min.score), countPWM(pwm = negPWM, subject = chr, min.score = min.score))) } ## checking 'pwm' pwm <- Biostrings:::.normargPwm(pwm) ## checking 'min.score' min.score <- Biostrings:::.normargMinScore(min.score, pwm) posPWM <- pwm[DNA_BASES, , drop = FALSE] negPWM <- reverseComplement(posPWM) bsParams <- new("BSParams", X = subject, FUN = countFUN, exclude = exclude, simplify = FALSE, maskList = logical(0)) counts <- bsapply(bsParams, posPWM = posPWM, negPWM = negPWM, min.score = min.score) cbind(data.frame(seqname = rep(factor(names(counts), levels = names(counts)), each = 2)), do.call(rbind, unname(as.list(counts)))) } ) setGeneric("vmatchLRPatterns", signature = "subject", function(Lpattern, Rpattern, max.gaplength, subject, max.Lmismatch=0, max.Rmismatch=0, with.Lindels=FALSE, with.Rindels=FALSE, Lfixed=TRUE, Rfixed=TRUE, ...) standardGeneric("vmatchLRPatterns")) setMethod("vmatchLRPatterns", "BSgenome", function(Lpattern, Rpattern, max.gaplength, subject, max.Lmismatch=0, max.Rmismatch=0, with.Lindels=FALSE, with.Rindels=FALSE, Lfixed=TRUE, Rfixed=TRUE, exclude = "", userMask = RangesList(), invertUserMask = FALSE) { matchFUN <- function(posLPattern, negLPattern, posRPattern, negRPattern, chr, max.gaplength, subject, max.Lmismatch, max.Rmismatch, with.Lindels, with.Rindels, Lfixed, Rfixed) { posMatches <- matchLRPatterns(posLPattern, posRPattern, max.gaplength, chr, max.Lmismatch, max.Rmismatch, with.Lindels, with.Rindels, Lfixed, Rfixed) negMatches <- IRanges() if (append(posLPattern, posRPattern) != append(negRPattern, negLPattern)) negMatches <- matchLRPatterns(negLPattern, negRPattern, max.gaplength, chr, max.Lmismatch, max.Rmismatch, with.Lindels, with.Rindels, Lfixed, Rfixed) strings <- c(as.character(posMatches), as.character(negMatches)) strand <- rep(c("+", "-"), c(length(posMatches), length(negMatches))) ord <- order(strand, strings) rngs <- c(as(posMatches, "IRanges"), as(negMatches, "IRanges")) RangedData(rngs[ord], string = Rle(strings[ord]), strand = Rle(strand[ord]), space = "1") } if (!is(Lpattern, "DNAString")) pattern <- DNAString(Lpattern) if (!is(Rpattern, "DNAString")) pattern <- DNAString(Rpattern) Lpattern <- Biostrings:::normargPattern(Lpattern, DNAStringSet()) Rpattern <- Biostrings:::normargPattern(Rpattern, DNAStringSet()) max.gaplength <- Biostrings:::normargMaxMismatch(max.gaplength) max.Lmismatch <- Biostrings:::normargMaxMismatch(max.Lmismatch) max.Rmismatch <- Biostrings:::normargMaxMismatch(max.Rmismatch) with.Lindels <- Biostrings:::normargWithIndels(with.Lindels) with.Rindels <- Biostrings:::normargWithIndels(with.Rindels) Lfixed <- Biostrings:::normargFixed(Lfixed, DNAStringSet()) Rfixed <- Biostrings:::normargFixed(Rfixed, DNAStringSet()) posLPattern <- Lpattern negLPattern <- reverseComplement(posLPattern) posRPattern <- Rpattern negRPattern <- reverseComplement(posRPattern) bsParams <- new("BSParams", X = subject, FUN = matchFUN, exclude = exclude, simplify = TRUE, userMask = userMask, invertUserMask = invertUserMask ) matches <- bsapply(bsParams, posLPattern = posLPattern, negLPattern = negLPattern, posRPattern = posRPattern, negRPattern = negRPattern, max.gaplength = max.gaplength, max.Lmismatch = max.Lmismatch, max.Rmismatch = max.Rmismatch, with.Lindels = with.Lindels, with.Rindels = with.Rindels, Lfixed = Lfixed, Rfixed = Rfixed) nms <- names(matches) matches <- do.call(c, unname(matches)) names(matches) <- nms matches } ) BSgenome/R/BSgenomeForge.R0000644000126300012640000005745412227064177016671 0ustar00biocbuildphs_compbio### ========================================================================= ### The BSgenomeForge functions ### ------------------------------------------------------------------------- .getMasksObjname <- function(seqnames) { if (length(seqnames) == 0) return(character(0)) paste(seqnames, ".masks", sep="") } .saveObject <- function(object, objname, destdir=".", verbose=TRUE) { assign(objname, object) destfile <- file.path(destdir, paste(objname, ".rda", sep="")) if (verbose) cat("Saving '", objname, "' object to compressed data file '", destfile, "' ... ", sep="") ## Using compress="xz" (instead of compress="gzip") would produce a .rda ## file that is about 20% smaller on disk but it would also take almost 3x ## longer to load it later on with load(). Tested on hg19 chr1 with R-2.14 ## (2011-09-20 r57033). This is why we stick to compress="gzip". save(list=objname, file=destfile, compress="gzip") if (verbose) cat("DONE\n") remove(list=objname) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The "getSeqSrcpaths" function. ### getSeqSrcpaths <- function(seqnames, prefix="", suffix=".fa", seqs_srcdir=".") { if (!is.null(seqnames) && !is.character(seqnames)) stop("'seqnames' must be a character vector (or NULL)") if (length(seqnames) == 0) { warning("'seqnames' is empty") return(character(0)) } if (!isSingleString(prefix)) stop("'prefix' must be a single string") if (!isSingleString(suffix)) stop("'suffix' must be a single string") if (!isSingleString(seqs_srcdir)) stop("'seqs_srcdir' must be a single string") srcfiles <- paste(prefix, seqnames, suffix, sep="") ans <- file.path(seqs_srcdir, srcfiles) is_OK <- file.exists(ans) if (!all(is_OK)) { missing_files <- paste(ans[!is_OK], collapse=", ") stop(missing_files, ": file(s) not found") } names(ans) <- seqnames ans } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The getSeqlengths() and forgeSeqlengthsFile() functions. ### getSeqlengths <- function(seqnames, prefix="", suffix=".fa", seqs_srcdir=".") { if (length(seqnames) == 0) { warning("'seqnames' is empty") return(integer(0)) } srcpaths <- getSeqSrcpaths(seqnames, prefix=prefix, suffix=suffix, seqs_srcdir=seqs_srcdir) sapply(seqnames, function(seqname) { srcpath <- srcpaths[[seqname]] ans <- fasta.info(srcpath) if (length(ans) == 0) stop("In file '", srcpath, "': no sequence found") if (length(ans) > 1) warning("In file '", srcpath, "': ", length(ans), " sequences found, using first sequence only") if (names(ans)[1] != seqname) warning("In file '", srcpath, "': sequence description \"", names(ans), "\" doesn't match user-specified ", "sequence name \"", seqname, "\"") ans[[1]] }, USE.NAMES=TRUE ) } forgeSeqlengthsFile <- function(seqnames, prefix="", suffix=".fa", seqs_srcdir=".", seqs_destdir=".", verbose=TRUE) { seqlengths <- getSeqlengths(seqnames, prefix=prefix, suffix=suffix, seqs_srcdir=seqs_srcdir) if (!isSingleString(seqs_destdir)) stop("'seqs_destdir' must be a single string") .saveObject(seqlengths, "seqlengths", destdir=seqs_destdir, verbose=verbose) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The "forgeSeqFiles" function. ### .forgeSeqFile <- function(name, prefix, suffix, seqs_srcdir, seqs_destdir, is.single.seq=TRUE, verbose=TRUE) { if (!isSingleString(name)) stop("'name' must be a single string") srcpath <- getSeqSrcpaths(name, prefix=prefix, suffix=suffix, seqs_srcdir=seqs_srcdir) if (verbose) cat("Loading FASTA file '", srcpath, "' in '", name, "' object ... ", sep="") seq <- readDNAStringSet(srcpath, "fasta") if (verbose) cat("DONE\n") if (is.single.seq) { if (length(seq) == 0) stop("file contains no DNA sequence") if (length(seq) > 1) warning("file contains ", length(seq), " sequences, ", "using the first sequence only") seq <- seq[[1]] # now 'seq' is a DNAString object } .saveObject(seq, name, destdir=seqs_destdir, verbose=verbose) } forgeSeqFiles <- function(seqnames, mseqnames=NULL, prefix="", suffix=".fa", seqs_srcdir=".", seqs_destdir=".", verbose=TRUE) { if (length(seqnames) == 0) { warning("'seqnames' is empty") } else { ## just for the side effect of checking the arguments getSeqSrcpaths(seqnames, prefix=prefix, suffix=suffix, seqs_srcdir=seqs_srcdir) } if (length(mseqnames) != 0) { if (!is.character(mseqnames)) stop("'mseqnames' must be a character vector (or NULL)") ## just for the side effect of checking the arguments getSeqSrcpaths(mseqnames, prefix=prefix, suffix=suffix, seqs_srcdir=seqs_srcdir) } if (!isSingleString(seqs_destdir)) stop("'seqs_destdir' must be a single string") for (name in seqnames) { .forgeSeqFile(name, prefix, suffix, seqs_srcdir, seqs_destdir, is.single.seq=TRUE, verbose=verbose) } for (name in mseqnames) { .forgeSeqFile(name, prefix, suffix, seqs_srcdir, seqs_destdir, is.single.seq=FALSE, verbose=verbose) } } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The "forgeMasksFiles" function. ### ## AGAPS is the mask of "assembly gaps" (inter-contig Ns). ## If 'filetype' is: ## NA: then AGAPS is an empty mask; ## "gap": then AGAPS is extracted from a UCSC "gap" file; ## "agp": then AGAPS is extracted from an NCBI "agp" file. ## AGAPS is active by default. .forge.AGAPSmask <- function(seqname, mask_width, masks_srcdir, filetype, filename, fileprefix, filesuffix) { if (!isSingleStringOrNA(filetype)) stop("'filetype' must be a single string or NA") if (!isSingleStringOrNA(filename)) stop("'filename' must be a single string or NA") if (!isSingleStringOrNA(fileprefix)) stop("'fileprefix' must be a single string or NA") if (!isSingleStringOrNA(filesuffix)) stop("'filesuffix' must be a single string or NA") if (is.na(filetype)) { ans <- Mask(mask_width) desc(ans) <- "assembly gaps (empty)" } else { if (is.na(filename)) filename <- paste(fileprefix, seqname, filesuffix, sep="") filepath <- file.path(masks_srcdir, filename) if (filetype == "gap") ans <- read.gapMask(filepath, seqname=seqname, mask.width=mask_width) else ans <- read.agpMask(filepath, seqname=seqname, mask.width=mask_width) } active(ans) <- TRUE names(ans) <- "AGAPS" ans } ## AMB is the mask of "intra-contig ambiguities". ## AMB is active by default. .forge.AMBmask <- function(seq, AGAPSmask) { active(AGAPSmask) <- TRUE masks(seq) <- AGAPSmask amb_letters <- names(IUPAC_CODE_MAP)[nchar(IUPAC_CODE_MAP) > 1] for (amb_letter in amb_letters) seq <- maskMotif(seq, amb_letter) ans <- collapse(masks(seq)[-1]) desc(ans) <- "intra-contig ambiguities" if (isEmpty(ans)) desc(ans) <- paste(desc(ans), "(empty)") active(ans) <- TRUE names(ans) <- "AMB" ans } ## RM is the "RepeatMasker" mask (from the RepeatMasker .out file). ## RM is NOT active by default. .forge.RMmask <- function(seqname, mask_width, masks_srcdir, filename, fileprefix, filesuffix) { if (!isSingleStringOrNA(filename)) stop("'filename' must be a single string or NA") if (!isSingleStringOrNA(fileprefix)) stop("'fileprefix' must be a single string or NA") if (!isSingleStringOrNA(filesuffix)) stop("'filesuffix' must be a single string or NA") if (is.na(filename)) filename <- paste(fileprefix, seqname, filesuffix, sep="") filepath <- file.path(masks_srcdir, filename) if (file.exists(filepath)) { ans <- read.rmMask(filepath, seqname=seqname, mask.width=mask_width) desc(ans) <- "RepeatMasker" } else { ans <- Mask(mask_width) desc(ans) <- "RepeatMasker (empty)" } active(ans) <- FALSE names(ans) <- "RM" ans } ## TRF is the "Tandem Repeats Finder" mask (from the Tandem Repeats Finder ## .bed file). ## TRF is NOT active by default. .forge.TRFmask <- function(seqname, mask_width, masks_srcdir, filename, fileprefix, filesuffix) { if (!isSingleStringOrNA(filename)) stop("'filename' must be a single string or NA") if (!isSingleStringOrNA(fileprefix)) stop("'fileprefix' must be a single string or NA") if (!isSingleStringOrNA(filesuffix)) stop("'filesuffix' must be a single string or NA") if (is.na(filename)) filename <- paste(fileprefix, seqname, filesuffix, sep="") filepath <- file.path(masks_srcdir, filename) if (file.exists(filepath)) { ans <- read.trfMask(filepath, seqname=seqname, mask.width=mask_width) desc(ans) <- "Tandem Repeats Finder [period<=12]" } else { ans <- Mask(mask_width) desc(ans) <- "Tandem Repeats Finder [period<=12] (empty)" } active(ans) <- FALSE names(ans) <- "TRF" ans } .forgeMasksFile <- function(seqname, nmask_per_seq, seqs_destdir=".", masks_srcdir=".", masks_destdir=".", AGAPSfiles_type="gap", AGAPSfiles_name=NA, AGAPSfiles_prefix="", AGAPSfiles_suffix="_gap.txt", RMfiles_name=NA, RMfiles_prefix="", RMfiles_suffix=".fa.out", TRFfiles_name=NA, TRFfiles_prefix="", TRFfiles_suffix=".bed", verbose=TRUE) { if (!isSingleString(seqname)) stop("'seqname' must be a single string") if (!is.numeric(nmask_per_seq) || length(nmask_per_seq) != 1 || !(nmask_per_seq %in% 0:4)) stop("'nmask_per_seq' must be 0, 1, 2, 3 or 4") if (nmask_per_seq == 0) warning("forging an empty mask collection ('nmask_per_seq' is set to 0)") if (!isSingleString(seqs_destdir)) stop("'seqs_destdir' must be a single string") if (!isSingleString(masks_srcdir)) stop("'masks_srcdir' must be a single string") if (!isSingleString(masks_destdir)) stop("'masks_destdir' must be a single string") ## Get the length of the sequence. seqfile <- file.path(seqs_destdir, paste(seqname, ".rda", sep="")) load(seqfile) seq <- get(seqname) mask_width <- length(seq) ## Start with an empty mask collection (i.e. a MaskCollection of ## length 0). masks <- new("MaskCollection", width=mask_width) if (nmask_per_seq >= 1) { AGAPSmask <- .forge.AGAPSmask(seqname, mask_width, masks_srcdir, AGAPSfiles_type, AGAPSfiles_name, AGAPSfiles_prefix, AGAPSfiles_suffix) masks <- append(masks, AGAPSmask) } if (nmask_per_seq >= 2) { AMBmask <- .forge.AMBmask(seq, AGAPSmask) masks <- append(masks, AMBmask) } remove(seq, list=seqname) if (nmask_per_seq >= 3) { RMmask <- .forge.RMmask(seqname, mask_width, masks_srcdir, RMfiles_name, RMfiles_prefix, RMfiles_suffix) masks <- append(masks, RMmask) } if (nmask_per_seq >= 4) { TRFmask <- .forge.TRFmask(seqname, mask_width, masks_srcdir, TRFfiles_name, TRFfiles_prefix, TRFfiles_suffix) masks <- append(masks, TRFmask) } objname <- .getMasksObjname(seqname) .saveObject(masks, objname, destdir=masks_destdir, verbose=verbose) } forgeMasksFiles <- function(seqnames, nmask_per_seq, seqs_destdir=".", masks_srcdir=".", masks_destdir=".", AGAPSfiles_type="gap", AGAPSfiles_name=NA, AGAPSfiles_prefix="", AGAPSfiles_suffix="_gap.txt", RMfiles_name=NA, RMfiles_prefix="", RMfiles_suffix=".fa.out", TRFfiles_name=NA, TRFfiles_prefix="", TRFfiles_suffix=".bed", verbose=TRUE) { if (length(seqnames) == 0) warning("'seqnames' is empty") for (seqname in seqnames) { .forgeMasksFile(seqname, nmask_per_seq, seqs_destdir=seqs_destdir, masks_srcdir=masks_srcdir, masks_destdir=masks_destdir, AGAPSfiles_type=AGAPSfiles_type, AGAPSfiles_name=AGAPSfiles_name, AGAPSfiles_prefix=AGAPSfiles_prefix, AGAPSfiles_suffix=AGAPSfiles_suffix, RMfiles_name=RMfiles_name, RMfiles_prefix=RMfiles_prefix, RMfiles_suffix=RMfiles_suffix, TRFfiles_name=TRFfiles_name, TRFfiles_prefix=TRFfiles_prefix, TRFfiles_suffix=TRFfiles_suffix, verbose=verbose) } } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The "BSgenomeDataPkgSeed" class and its low-level constructor. ### setClass( "BSgenomeDataPkgSeed", representation( Package="character", Title="character", Description="character", Version="character", Author="character", Maintainer="character", License="character", organism="character", species="character", provider="character", provider_version="character", release_date="character", release_name="character", source_url="character", organism_biocview="character", BSgenomeObjname="character", seqnames="character", # a single string containing R source code circ_seqs="character", # a single string containing R source code mseqnames="character", # a single string containing R source code nmask_per_seq="integer", # a single integer PkgDetails="character", SrcDataFiles1="character", SrcDataFiles2="character", PkgExamples="character", seqfiles_prefix="character", seqfiles_suffix="character", AGAPSfiles_type="character", AGAPSfiles_name="character", AGAPSfiles_prefix="character", AGAPSfiles_suffix="character", RMfiles_name="character", RMfiles_prefix="character", RMfiles_suffix="character", TRFfiles_name="character", TRFfiles_prefix="character", TRFfiles_suffix="character" ), prototype( Author="The Bioconductor Dev Team", Maintainer="Bioconductor Package Maintainer ", License="Artistic-2.0", source_url="-- information not available --", seqnames="NULL", # equivalent to "character(0)" circ_seqs="NULL", # equivalent to "character(0)" mseqnames="NULL", # equivalent to "character(0)" nmask_per_seq=0L, PkgDetails="", SrcDataFiles1="-- information not available --", SrcDataFiles2="", PkgExamples="", seqfiles_prefix="", seqfiles_suffix=".fa", AGAPSfiles_type="gap", AGAPSfiles_name=as.character(NA), AGAPSfiles_prefix="", AGAPSfiles_suffix="_gap.txt", RMfiles_name=as.character(NA), RMfiles_prefix="", RMfiles_suffix=".fa.out", TRFfiles_name=as.character(NA), TRFfiles_prefix="", TRFfiles_suffix=".bed" ) ) ### Generic transformation of a named list into an S4 object with automatic ### coercion of the list elements to the required types. makeS4FromList <- function(Class, x) { if (!is.list(x) || is.null(names(x))) stop("'x' must be a named list") explicit_slots <- getSlots(Class)[names(x)] if (any(is.na(explicit_slots))) { invalid_names <- setdiff(names(x), names(getSlots(Class))) stop("some names in 'x' are not valid ", Class, " slots (", paste(invalid_names, collapse=", "), ")") } y <- lapply(seq_len(length(x)), function(i) { x_elt <- x[[i]] if (is(x_elt, explicit_slots[i])) return(x_elt) as(x_elt, explicit_slots[i]) }) names(y) <- names(x) y$Class <- Class do.call(new, y) } BSgenomeDataPkgSeed <- function(x) makeS4FromList("BSgenomeDataPkgSeed", x) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The "forgeBSgenomeDataPkg" generic and methods. ### setGeneric("forgeBSgenomeDataPkg", signature="x", function(x, seqs_srcdir=".", masks_srcdir=".", destdir=".", verbose=TRUE) standardGeneric("forgeBSgenomeDataPkg") ) setMethod("forgeBSgenomeDataPkg", "BSgenomeDataPkgSeed", function(x, seqs_srcdir=".", masks_srcdir=".", destdir=".", verbose=TRUE) { require(Biobase) || stop("the Biobase package is required") template_path <- system.file("BSgenomeDataPkg-template", package="BSgenome") BSgenome_version <- installed.packages()['BSgenome','Version'] symvals <- list( PKGTITLE=x@Title, PKGDESCRIPTION=x@Description, PKGVERSION=x@Version, AUTHOR=x@Author, MAINTAINER=x@Maintainer, BSGENOMEVERSION=BSgenome_version, LIC=x@License, ORGANISM=x@organism, SPECIES=x@species, PROVIDER=x@provider, PROVIDERVERSION=x@provider_version, RELEASEDATE=x@release_date, RELEASENAME=x@release_name, SOURCEURL=x@source_url, ORGANISMBIOCVIEW=x@organism_biocview, BSGENOMEOBJNAME=x@BSgenomeObjname, SEQNAMES=x@seqnames, CIRCSEQS=x@circ_seqs, MSEQNAMES=x@mseqnames, NMASKPERSEQ=as.character(x@nmask_per_seq), PKGDETAILS=x@PkgDetails, SRCDATAFILES1=x@SrcDataFiles1, SRCDATAFILES2=x@SrcDataFiles2, PKGEXAMPLES=x@PkgExamples ) ## Should never happen if (any(duplicated(names(symvals)))) { str(symvals) stop("'symvals' contains duplicated symbols") } ## All symvals should by single strings (non-NA) is_OK <- sapply(symvals, isSingleString) if (!all(is_OK)) { bad_syms <- paste(names(is_OK)[!is_OK], collapse=", ") stop("values for symbols ", bad_syms, " are not single strings") } createPackage(x@Package, destdir, template_path, symvals) pkgdir <- file.path(destdir, x@Package) ## Just to avoid codetools "no visible binding" NOTEs .seqnames <- .mseqnames <- NULL .nmask_per_seq <- 0 ## Sourcing this file will set the values of the '.seqnames', ## '.mseqnames' and '.nmask_per_seq' variables source(file.path(pkgdir, "R", "zzz.R"), local=TRUE) ## Forge the "seqlengths.rda" file seqs_destdir <- file.path(pkgdir, "inst", "extdata") forgeSeqlengthsFile(.seqnames, prefix=x@seqfiles_prefix, suffix=x@seqfiles_suffix, seqs_srcdir=seqs_srcdir, seqs_destdir=seqs_destdir, verbose=verbose) ## Forge the sequence "*.rda" files forgeSeqFiles(.seqnames, mseqnames=.mseqnames, prefix=x@seqfiles_prefix, suffix=x@seqfiles_suffix, seqs_srcdir=seqs_srcdir, seqs_destdir=seqs_destdir, verbose=verbose) if (.nmask_per_seq > 0) { ## Forge the "*.masks.rda" files masks_destdir <- file.path(pkgdir, "inst", "extdata") forgeMasksFiles(.seqnames, .nmask_per_seq, seqs_destdir=seqs_destdir, masks_srcdir=masks_srcdir, masks_destdir=masks_destdir, AGAPSfiles_type=x@AGAPSfiles_type, AGAPSfiles_name=x@AGAPSfiles_name, AGAPSfiles_prefix=x@AGAPSfiles_prefix, AGAPSfiles_suffix=x@AGAPSfiles_suffix, RMfiles_name=x@RMfiles_name, RMfiles_prefix=x@RMfiles_prefix, RMfiles_suffix=x@RMfiles_suffix, TRFfiles_name=x@TRFfiles_name, TRFfiles_prefix=x@TRFfiles_prefix, TRFfiles_suffix=x@TRFfiles_suffix, verbose=verbose) } } ) setMethod("forgeBSgenomeDataPkg", "list", function(x, seqs_srcdir=".", masks_srcdir=".", destdir=".", verbose=TRUE) { y <- BSgenomeDataPkgSeed(x) forgeBSgenomeDataPkg(y, seqs_srcdir=seqs_srcdir, masks_srcdir=masks_srcdir, destdir=destdir, verbose=verbose) } ) .removeCommentLines <- function(infile=stdin(), outfile=stdout()) { if (is.character(infile)) { infile <- file(infile, "r") on.exit(close(infile)) } if (is.character(outfile)) { outfile <- file(outfile, "w") on.exit({close(infile); close(outfile)}) } while (TRUE) { lines <- readLines(infile, n=25000L) if (length(lines) == 0L) return() keep_it <- substr(lines, 1L, 1L) != "#" writeLines(lines[keep_it], outfile) } } ### A "comment aware" version of read.dcf(). read.dcf2 <- function(file, ...) { clean_file <- tempfile() .removeCommentLines(file, clean_file) on.exit(file.remove(clean_file)) read.dcf(clean_file, ...) } ### Return a named character vector. .readSeedFile <- function(file, verbose=TRUE) { if (!isSingleString(file)) stop("'file' must be a single string") if (file.exists(file)) { ## Using 'x["isdir"][[1]]' is safer than using 'x$isdir' or ## 'x[["isdir"]]' because it will fail if "isdir" is not a defined ## column isdir <- file.info(file)["isdir"][[1]] if (isdir) stop("'", file, "' is a directory, not a seed file") } else { file0 <- file seed_dir <- system.file("extdata", "GentlemanLab", package="BSgenome") file <- file.path(seed_dir, file) if (!file.exists(file)) { file <- paste(file, "-seed", sep="") if (!file.exists(file)) stop("seed file '", file0, "' not found") } if (verbose) cat("Seed file '", file0, "' not found, using file '", file, "'\n", sep="") } ans <- read.dcf2(file) # a character matrix if (nrow(ans) != 1) stop("seed file '", file, "' must have exactly 1 record") ans[1, , drop=TRUE] } setMethod("forgeBSgenomeDataPkg", "character", function(x, seqs_srcdir=".", masks_srcdir=".", destdir=".", verbose=TRUE) { y <- .readSeedFile(x, verbose=verbose) y <- as.list(y) if (missing(seqs_srcdir)) { seqs_srcdir <- y[["seqs_srcdir"]] if (is.null(seqs_srcdir)) stop("'seqs_srcdir' argument is missing, and the ", "'seqs_srcdir' field is missing in seed file") } if (missing(masks_srcdir) && !is.null(y[["masks_srcdir"]])) masks_srcdir <- y[["masks_srcdir"]] y <- y[!(names(y) %in% c("seqs_srcdir", "masks_srcdir"))] forgeBSgenomeDataPkg(y, seqs_srcdir=seqs_srcdir, masks_srcdir=masks_srcdir, destdir=destdir, verbose=verbose) } ) BSgenome/R/GenomeData-class.R0000644000126300012640000000656712227064177017315 0ustar00biocbuildphs_compbio## A container for data in the form of a list of chromosomes. Each ## sub-element can be anything setClass("GenomeData", contains = "SimpleList") ### FIXME: ideally there would be some sort of GenomeDescription ### object that encapsulates this information. For now, we store all ### the metadata fields in the SimpleList metadata list. ### At least that way, all the metadata is in one place. setMethod("providerVersion", "GenomeData", function(x) metadata(x)$providerVersion) setMethod("organism", "GenomeData", function(x) metadata(x)$organism) setMethod("provider", "GenomeData", function(x) metadata(x)$provider) GenomeData <- function(listData = list(), providerVersion = metadata[["providerVersion"]], organism = metadata[["organism"]], provider = metadata[["provider"]], metadata = list(), elementMetadata = NULL, ...) { if (!is.list(metadata)) stop("'metadata' must be a list") md <- list(organism = organism, provider = provider, providerVersion = providerVersion, ...) metadata[names(md)] <- md new("GenomeData", listData = listData, metadata = metadata, elementMetadata = elementMetadata) } setMethod("show", "GenomeData", function(object) { cat("A GenomeData instance") if (!is.null(organism(object))) cat(" for", organism(object)) if (!is.null(provider(object)) || !is.null(providerVersion(object))) { cat("\nbuild: ") if (!is.null(provider(object))) cat(provider(object), " ", sep = "") if (!is.null(providerVersion(object))) cat(providerVersion(object)) } cat("\n") nms <- names(object) if (is.null(nms)) nms <- seq_len(length(object)) cat(BiocGenerics:::labeledLine("chromosomes", nms)) }) setValidity("GenomeData", function(object) { org <- organism(object) prov <- provider(object) provVer <- providerVersion(object) if (!is.null(org) && !isSingleString(org)) "organism must be a single string or NULL" else if (!is.null(prov) && !isSingleString(prov)) "provider must be a single string or NULL" else if (!is.null(provVer) && !isSingleString(provVer)) "providerVersion must be a single string or NULL" else NULL }) ## coersion to data.frame methods setAs("GenomeData", "data.frame", function(from) { ind <- names(from) if (is.null(ind)) ind <- seq(length(from)) ans <- do.call(rbind, sapply(ind, function(chr) { cbind(as(from[[chr]], "data.frame"), chromosome = chr) }, simplify = FALSE)) row.names(ans) <- NULL ans }) ## seems common to store Ranges inside GenomeData, so tie into IRanges here setAs("GenomeData", "RangesList", function(from) { ans <- do.call("RangesList", lapply(from, as, "Ranges")) metadata(ans) <- metadata(from) universe(ans) <- providerVersion(from) ans }) setAs("GenomeData", "RangedData", function(from) { ans <- do.call("c", lapply(from, as, "RangedData")) names(ans) <- names(from) metadata(ans) <- metadata(from) universe(ans) <- providerVersion(from) ans }) BSgenome/R/GenomeDataList-class.R0000644000126300012640000000261312227064177020135 0ustar00biocbuildphs_compbio## Conceptually a list of GenomeData objects setClass("GenomeDataList", prototype = prototype(elementType = "GenomeData"), contains = "SimpleList") setValidity("GenomeDataList", function(object) { ## each element must be a "GenomeData" if (!identical(elementType(object), "GenomeData")) return("The elementType(object) is not 'GenomeData'") TRUE }) GenomeDataList <- function(listData = list(), metadata = list(), elementMetadata = NULL) { new("GenomeDataList", listData = listData, metadata = metadata, elementMetadata = elementMetadata) } setAs("GenomeDataList", "data.frame", function(from) { ind <- names(from) if (is.null(ind)) ind <- seq(length(from)) ans <- do.call(rbind, sapply(ind, function(sample) { cbind(as(from[[sample]], "data.frame"), sample = sample) }, simplify = FALSE)) row.names(ans) <- NULL ans }) setAs("GenomeDataList", "RangedDataList", function(from) { ans <- do.call(RangedDataList, lapply(from, as, "RangedData")) metadata(ans) <- metadata(from) elementMetadata(ans) <- elementMetadata(from) ans }) BSgenome/R/GenomeDescription-class.R0000644000126300012640000001137612227064177020721 0ustar00biocbuildphs_compbio### ========================================================================= ### The "GenomeDescription" class ### ------------------------------------------------------------------------- setClass("GenomeDescription", representation( ## organism: "Homo sapiens", "Mus musculus", etc... organism="character", ## species: "Human", "Mouse", etc... species="character", ## provider: "UCSC", "BDGP", etc... provider="character", ## provider_version: "hg18", "mm8", "sacCer1", etc... provider_version="character", ## release_date: "Mar. 2006", "Feb. 2006", "Oct. 2003", etc... release_date="character", ## release_name: "NCBI Build 36.1", "NCBI Build 36", ## "SGD 1 Oct 2003 sequence", etc... release_name="character", ## names, lengths, and circularity flags of the genome sequences seqinfo="Seqinfo" ) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Accessor methods. ### setGeneric("organism", function(x) standardGeneric("organism")) setMethod("organism", "GenomeDescription", function(x) x@organism) setGeneric("species", function(x) standardGeneric("species")) setMethod("species", "GenomeDescription", function(x) x@species) setGeneric("provider", function(x) standardGeneric("provider")) setMethod("provider", "GenomeDescription", function(x) x@provider) setGeneric("providerVersion", function(x) standardGeneric("providerVersion")) setMethod("providerVersion", "GenomeDescription", function(x) x@provider_version) setGeneric("releaseDate", function(x) standardGeneric("releaseDate")) setMethod("releaseDate", "GenomeDescription", function(x) x@release_date) setGeneric("releaseName", function(x) standardGeneric("releaseName")) setMethod("releaseName", "GenomeDescription", function(x) x@release_name) setGeneric("bsgenomeName", function(x) standardGeneric("bsgenomeName")) setMethod("bsgenomeName", "GenomeDescription", function(x) { part1 <- "BSgenome" tmp <- strsplit(organism(x), " ", fixed=TRUE)[[1L]] part2 <- paste(substr(tmp[1L], start=1L, stop=1L), tmp[2L], sep="") part3 <- provider(x) part4 <- providerVersion(x) paste(part1, part2, part3, part4, sep=".") } ) setMethod("seqinfo", "GenomeDescription", function(x) x@seqinfo) setMethod("seqnames", "GenomeDescription", function(x) { ans <- seqnames(seqinfo(x)) if (length(ans) == 0L) ans <- NULL ans } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Validity. ### setValidity("GenomeDescription", function(object) { SINGLE_STRING_SLOTS <- setdiff(slotNames("GenomeDescription"), "seqinfo") .validSlot <- function(slotname) { slotval <- slot(object, slotname) if (isSingleStringOrNA(slotval)) return(NULL) problem <- paste("slot '", slotname, "' must be a ", "single string (or NA)", sep="") return(problem) } unlist(lapply(SINGLE_STRING_SLOTS, .validSlot)) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructor-like functions ### GenomeDescription <- function(organism, species, provider, provider_version, release_date, release_name, seqinfo) { if (identical(organism, "NA")) organism <- NA_character_ if (identical(species, "NA")) species <- NA_character_ if (identical(release_date, "NA")) release_date <- NA_character_ if (identical(release_name, "NA")) release_name <- NA_character_ new("GenomeDescription", organism=organism, species=species, provider=provider, provider_version=provider_version, release_date=release_date, release_name=release_name, seqinfo=seqinfo) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The 'show' method ### showGenomeDescription <- function(x, margin="", print.seqlengths=FALSE) { cat(margin, "organism: ", organism(x), " (", species(x), ")\n", sep="") cat(margin, "provider: ", provider(x), "\n", sep="") cat(margin, "provider version: ", providerVersion(x), "\n", sep="") cat(margin, "release date: ", releaseDate(x), "\n", sep="") cat(margin, "release name: ", releaseName(x), "\n", sep="") if (print.seqlengths) { cat(margin, "---\n", sep="") GenomicRanges:::showSeqlengths(x, margin=margin) } } setMethod("show", "GenomeDescription", function(object) { showGenomeDescription(object, margin="| ", print.seqlengths=TRUE) } ) BSgenome/R/InjectSNPsHandler-class.R0000644000126300012640000001365412227064177020562 0ustar00biocbuildphs_compbio### ========================================================================= ### The "InjectSNPsHandler" class ### ------------------------------------------------------------------------- setClass("InjectSNPsHandler", representation( SNPlocs_pkgname="character", # single string getSNPcount="function", getSNPlocs="function", seqname_translation_table="character" # named character vector ) ) .check.seqname_translation_table <- function(x, SNPlocs_seqnames, bsgenome_seqnames) { if (!is.character(x) || any(is.na(x))) return("must be a character vector with no NAs") if (!all(x %in% SNPlocs_seqnames)) return("must have all its elements in 'names(getSNPcount())'") if (is.null(names(x)) || any(is.na(names(x))) || any(duplicated(names(x)))) return("must have unique non-NA names") if (!all(names(x) %in% bsgenome_seqnames)) return("has names incompatible with BSgenome seqnames") NULL } .get.seqname_translation_table <- function(SNPlocs_pkgname, bsgenome_pkgname, SNPlocs_seqnames, bsgenome_seqnames) { library(SNPlocs_pkgname, character.only=TRUE) pkgenvir <- as.environment(paste("package", SNPlocs_pkgname, sep=":")) COMPATIBLE_BSGENOMES <- try(get("COMPATIBLE_BSGENOMES", envir=pkgenvir, inherits=FALSE), silent=TRUE) if (is(COMPATIBLE_BSGENOMES, "try-error")) return(character(0)) if (!is.list(COMPATIBLE_BSGENOMES)) stop("cannot use package ", SNPlocs_pkgname, " for SNP injection:\n", " '", SNPlocs_pkgname, "::COMPATIBLE_BSGENOMES' is not a list") seqname_translation_table <- COMPATIBLE_BSGENOMES[[bsgenome_pkgname]] if (is.null(seqname_translation_table)) { warning(bsgenome_pkgname, " not in ", "'", SNPlocs_pkgname, "::COMPATIBLE_BSGENOMES'") return(character(0)) } pb <- .check.seqname_translation_table(seqname_translation_table, SNPlocs_seqnames, bsgenome_seqnames) if (!is.null(pb)) stop("cannot inject ", SNPlocs_pkgname, " in ", bsgenome_pkgname, ":\n", " bad seqname translation table (it ", pb, ")") seqname_translation_table } ### Calling this constructor has the side effect of loading the SNPlocs ### package! InjectSNPsHandler <- function(SNPlocs_pkgname, bsgenome_pkgname, bsgenome_seqnames) { if (!isSingleString(SNPlocs_pkgname)) stop("'SNPlocs_pkgname' must be a single string") library(SNPlocs_pkgname, character.only=TRUE) pkgenvir <- as.environment(paste("package", SNPlocs_pkgname, sep=":")) getSNPcount <- try(get("getSNPcount", envir=pkgenvir, inherits=FALSE), silent=TRUE) if (!is.function(getSNPcount)) stop("cannot use package ", SNPlocs_pkgname, " for SNP injection:\n", " it doesn't seem to define (and export) a function called ", "'getSNPcount'") getSNPlocs <- try(get("getSNPlocs", envir=pkgenvir, inherits=FALSE), silent=TRUE) if (!is.function(getSNPlocs)) stop("cannot use package ", SNPlocs_pkgname, " for SNP injection:\n", " it doesn't seem to define (and export) a function called ", "'getSNPlocs'") seqname_translation_table <- .get.seqname_translation_table( SNPlocs_pkgname, bsgenome_pkgname, names(getSNPcount()), bsgenome_seqnames) #if (length(seqname_translation_table) == 0L # && !all(bsgenome_seqnames %in% names(getSNPcount()))) # stop("cannot inject ", SNPlocs_pkgname, " in ", # bsgenome_pkgname, ":\n", # " seqnames are incompatible and no seqname translation\n", # " table is provided") new("InjectSNPsHandler", SNPlocs_pkgname=SNPlocs_pkgname, getSNPcount=getSNPcount, getSNPlocs=getSNPlocs, seqname_translation_table=seqname_translation_table) } setGeneric("SNPlocs_pkgname", function(x) standardGeneric("SNPlocs_pkgname")) setMethod("SNPlocs_pkgname", "InjectSNPsHandler", function(x) { if (length(x@SNPlocs_pkgname) == 0L) return(NULL) x@SNPlocs_pkgname } ) setGeneric("SNPcount", function(x) standardGeneric("SNPcount")) setMethod("SNPcount", "InjectSNPsHandler", function(x) { if (length(x@SNPlocs_pkgname) == 0L) return(NULL) ans <- x@getSNPcount() if (length(x@seqname_translation_table) == 0L) return(ans) ans <- ans[x@seqname_translation_table] names(ans) <- names(x@seqname_translation_table) ans } ) setGeneric("SNPlocs", signature="x", function(x, seqname) standardGeneric("SNPlocs")) setMethod("SNPlocs", "InjectSNPsHandler", function(x, seqname) { if (length(x@SNPlocs_pkgname) == 0L) return(NULL) if (!isSingleString(seqname)) stop("'seqname' must be a single string") if (!(seqname %in% names(SNPcount(x)))) return(NULL) if (length(x@seqname_translation_table) != 0L) seqname <- x@seqname_translation_table[seqname] ans <- x@getSNPlocs(seqname) if (nrow(ans) != x@getSNPcount()[seqname]) stop("reported SNP count for sequence ", seqname, " in package ", SNPlocs_pkgname(x), " does not match the ", "number of SNPs returned by ", SNPlocs_pkgname(x), ":::getSNPlocs()") ans } ) BSgenome/R/SNPlocs-class.R0000644000126300012640000003555512227064177016631 0ustar00biocbuildphs_compbio### ========================================================================= ### SNPlocs objects ### ------------------------------------------------------------------------- setClass("SNPlocs", representation( ## provider of the SNPs (e.g. "dbSNP") provider="character", ## creation date (in compact format) of the flat files found at ## download_url (look at 2nd line of each file e.g. ## CREATED ON: 2012-06-08 14:53, and use the most recent date in ## case of mixed dates, e.g. "20120608") provider_version="character", ## official release date of the SNPs (e.g. "Nov 9, 2010") release_date="character", ## official release name of the SNPs (e.g. "Build 132") release_name="character", ## URL to the place where the original SNP data was downloaded download_url="character", ## date the original SNP data was downloaded download_date="character", ## reference genome of the SNPs reference_genome="GenomeDescription", ## named list of "sequence name translation tables" (one table per ## compatible genome and each table is represented by a named character ## vector) compatible_genomes="list", ## package name and absolute path to local directory where to find ## the serialized objects containing the SNPs data_pkgname="character", data_dirpath="character", data_serialized_objnames="character", .data_cache="environment" ) ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Constructor ### ### Not intended to be used directly. newSNPlocs <- function(provider, provider_version, release_date, release_name, download_url, download_date, reference_genome, compatible_genomes, data_pkgname, data_dirpath) { data_serialized_objnames <- c( "SNPcount", "all_rsids", paste(seqlevels(reference_genome), "_snplocs", sep="") ) new("SNPlocs", provider=provider, provider_version=provider_version, release_date=release_date, release_name=release_name, download_url=download_url, download_date=download_date, reference_genome=reference_genome, compatible_genomes=compatible_genomes, data_pkgname=data_pkgname, data_dirpath=data_dirpath, data_serialized_objnames=data_serialized_objnames, .data_cache=new.env(hash=TRUE, parent=emptyenv())) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Accessors ### setMethod("provider", "SNPlocs", function(x) x@provider) setMethod("providerVersion", "SNPlocs", function(x) x@provider_version) setMethod("releaseDate", "SNPlocs", function(x) x@release_date) setMethod("releaseName", "SNPlocs", function(x) x@release_name) setGeneric("referenceGenome", function(x) standardGeneric("referenceGenome")) setMethod("referenceGenome", "SNPlocs", function(x) x@reference_genome) setGeneric("compatibleGenomes", function(x) standardGeneric("compatibleGenomes") ) setMethod("compatibleGenomes", "SNPlocs", function(x) x@compatible_genomes) setMethod("organism", "SNPlocs", function(x) organism(referenceGenome(x))) setMethod("species", "SNPlocs", function(x) species(referenceGenome(x))) setMethod("seqinfo", "SNPlocs", function(x) seqinfo(referenceGenome(x))) setMethod("seqnames", "SNPlocs", function(x) seqnames(referenceGenome(x))) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The 'show' method ### setMethod("show", "SNPlocs", function(object) { cat(class(object), " object for ", organism(object), " (", provider(object), " ", releaseName(object), ")\n", sep="") } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### snpcount() and snplocs() ### ### Creates objects "on-the-fly" (not serialized). ### WARNING: Improper calls to .get_SNPlocs_data() by the .create_object() ### function can lead to infinite recursive loops! .create_object <- function(objname) { if (objname == "empty_snplocs") { obj <- data.frame(loc=integer(0), alleles=raw(0)) return(obj) } if (objname == "empty_ufsnplocs") { obj <- data.frame(RefSNP_id=character(0), alleles_as_ambig=character(0), loc=integer(0), stringsAsFactors=FALSE) return(obj) } # add more here... stop("don't know how to create object '", objname, "'") } .get_SNPlocs_data <- function(x, objname, caching=TRUE) { datacache <- x@.data_cache not_cached <- !exists(objname, envir=datacache) if (not_cached) { if (objname %in% x@data_serialized_objnames) { filename <- paste(objname, ".rda", sep="") filepath <- file.path(x@data_dirpath, filename) load(filepath, envir=datacache) } else { assign(objname, .create_object(objname), envir=datacache) } } ans <- get(objname, envir=datacache) if (not_cached && !caching) rm(list=objname, envir=datacache) ans } setGeneric("snpcount", function(x) standardGeneric("snpcount")) setMethod("snpcount", "SNPlocs", function(x) { objname <- "SNPcount" ans <- .get_SNPlocs_data(x, objname) if (!is.integer(ans) || !identical(names(ans), seqlevels(x))) stop("internal error: '", objname, "' data set is broken.\n", " Please contact the maintainer of the ", x@data_pkgname, "\n package.") ans } ) ### Load raw snplocs. .load_raw_snplocs <- function(x, seqname, caching) { objname <- paste(seqname, "_snplocs", sep="") ans <- .get_SNPlocs_data(x, objname, caching=caching) empty_snplocs <- .get_SNPlocs_data(x, "empty_snplocs") if (!identical(sapply(ans, class), sapply(empty_snplocs, class))) stop("internal error: unexpected col names and/or col types\n", " for the '", objname, "' data set.\n", " Please contact the maintainer of the ", x@data_pkgname, "\n package.") if (nrow(ans) != snpcount(x)[seqname]) stop("internal error: nb of rows in object '", objname, " ", "doesn't match the\n nb of SNPs reported by snpcount().\n", " Please contact the maintainer of the ", x@data_pkgname, "\n package.") ans } .get_rsid_offsets <- function(x) { offsets <- c(0L, cumsum(snpcount(x))) offsets <- offsets[-length(offsets)] names(offsets) <- names(snpcount(x)) offsets } ### Load rs ids for a given sequence. Return them in an integer vector. .load_rsids <- function(x, seqname) { all_rsids <- .get_SNPlocs_data(x, "all_rsids") seq_pos <- match(seqname, names(snpcount(x))) offset <- .get_rsid_offsets(x)[seq_pos] idx <- seq_len(snpcount(x)[seq_pos]) + offset all_rsids[idx] } ### Get user-friendly snplocs. .get_ufsnplocs <- function(x, seqname, caching) { rsids <- as.character(.load_rsids(x, seqname)) snplocs <- .load_raw_snplocs(x, seqname, caching) alleles <- safeExplode(rawToChar(snplocs$alleles)) data.frame(RefSNP_id=rsids, alleles_as_ambig=alleles, loc=snplocs$loc, stringsAsFactors=FALSE) } .SNPlocsAsGranges <- function(x, ufsnplocs, seqname) { if (is(seqname, "Rle")) { if (length(seqname) != nrow(ufsnplocs) || !identical(levels(seqname), seqlevels(x))) stop("when an Rle, 'seqname' must be a factor Rle ", "of length 'nrow(ufsnplocs)' and levels 'SEQNAMES'") ans_seqnames <- seqname } else { if (!is.factor(seqname)) seqname <- factor(seqname, levels=seqlevels(x)) if (length(seqname) == 1L) ans_seqnames <- Rle(seqname, nrow(ufsnplocs)) else if (length(seqname) == nrow(ufsnplocs)) ans_seqnames <- Rle(seqname) else stop("'length(seqname)' must be 1 or 'nrow(ufsnplocs)'") } if (nrow(ufsnplocs) == 0L) ans_ranges <- IRanges() else ans_ranges <- IRanges(start=ufsnplocs$loc, width=1L) ans_strand <- Rle(strand("+"), nrow(ufsnplocs)) ans <- GRanges(seqnames=ans_seqnames, ranges=ans_ranges, strand=ans_strand, RefSNP_id=ufsnplocs$RefSNP_id, alleles_as_ambig=ufsnplocs$alleles_as_ambig) seqinfo(ans) <- seqinfo(x) ans } setGeneric("snplocs", signature="x", function(x, seqname, ...) standardGeneric("snplocs") ) ### Returns a data frame (when 'as.GRanges=FALSE') or a GRanges object ### (when 'as.GRanges=TRUE'). setMethod("snplocs", "SNPlocs", function(x, seqname, as.GRanges=FALSE, caching=TRUE) { if (!is.character(seqname) || any(is.na(seqname))) stop("'seqname' must be a character vector with no NAs") if (!all(seqname %in% seqlevels(x))) stop("all 'seqname' elements must be in: ", paste(seqlevels(x), collapse=", ")) if (!isTRUEorFALSE(as.GRanges)) stop("'as.GRanges' must be TRUE or FALSE") if (!isTRUEorFALSE(caching)) stop("'caching' must be TRUE or FALSE") if (!as.GRanges) { if (length(seqname) != 1L) stop("'seqname' must be of length 1 when 'as.GRanges' is FALSE") return(.get_ufsnplocs(x, seqname, caching)) } if (length(seqname) == 0L) { empty_ufsnplocs <- .get_SNPlocs_data(x, "empty_ufsnplocs") ans <- .SNPlocsAsGranges(x, empty_ufsnplocs, character(0)) return(ans) } list_of_ufsnplocs <- lapply(seqname, .get_ufsnplocs, x=x, caching=caching) ufsnplocs <- do.call(rbind, list_of_ufsnplocs) seqnames <- Rle(factor(seqname, levels=seqlevels(x)), unlist(lapply(list_of_ufsnplocs, nrow), use.names=FALSE)) .SNPlocsAsGranges(x, ufsnplocs, seqnames) } ) ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### snpid2loc(), snpid2alleles(), and snpid2grange() ### .normargSnpid <- function(snpid) { if (!is.vector(snpid)) stop("'snpid' must be an integer or character vector") if (IRanges:::anyMissing(snpid)) stop("'snpid' cannot contain NAs") if (is.numeric(snpid)) { if (!is.integer(snpid)) snpid <- as.integer(snpid) return(snpid) } if (!is.character(snpid)) stop("'snpid' must be an integer or character vector") prefixes <- unique(substr(snpid, 1L, 2L)) if ("rs" %in% prefixes) { if (!setequal(prefixes, "rs")) stop("'snpid' cannot mix ids that are prefixed with \"rs\" ", "with ids that are not") ## Drop the "rs" prefix. snpid <- substr(snpid, 3, nchar(snpid)) } snpid <- suppressWarnings(as.integer(snpid)) if (IRanges:::anyMissing(snpid)) stop("cannot extract the digital part of some ids in 'snpid'") snpid } ### Returns a named integer vector where each (name, value) pair corresponds ### to a supplied SNP id (typically an rs id). The name is the chromosome of ### the SNP id and the value is the row index in the serialized snplocs data ### frame corresponding to the SNP id. .snpid2rowidx <- function(x, snpid) { if (length(snpid) == 0L) { idx <- integer(0) } else { all_rsids <- .get_SNPlocs_data(x, "all_rsids") idx <- match(snpid, all_rsids) bad_snpid_idx <- which(is.na(idx)) if (length(bad_snpid_idx) != 0L) { bad_snpid <- snpid[bad_snpid_idx] bad_snpid_in1string <- paste(bad_snpid, collapse=", ") stop("SNP id(s) not found: ", bad_snpid_in1string) } } seqidx <- findInterval(idx - 1L, cumsum(snpcount(x))) + 1L rowidx <- idx - .get_rsid_offsets(x)[seqidx] names(rowidx) <- names(snpcount(x))[seqidx] rowidx } ### Returns a named integer vector where each (name, value) pair corresponds ### to a supplied SNP id (typically an rs id). The name is the chromosome of ### the SNP id and the value is its position on the chromosome. setGeneric("snpid2loc", signature="x", function(x, snpid, ...) standardGeneric("snpid2loc") ) setMethod("snpid2loc", "SNPlocs", function(x, snpid, caching=TRUE) { snpid <- .normargSnpid(snpid) if (!isTRUEorFALSE(caching)) stop("'caching' must be TRUE or FALSE") rowidx <- .snpid2rowidx(x, snpid) if (length(rowidx) == 0L) { ans <- integer(0) } else { rowidx_list <- split(unname(rowidx), names(rowidx)) loc_list <- lapply(names(rowidx_list), function(seqname) { idx <- rowidx_list[[seqname]] .load_raw_snplocs(x, seqname, caching)$loc[idx] }) ans <- unsplit(loc_list, names(rowidx)) } names(ans) <- names(rowidx) ans } ) ### Returns a named character vector where each (name, value) pair corresponds ### to a supplied SNP id (typically an rs id). The name is the chromosome of ### the SNP id and the value is a single IUPAC code representing the associated ### alleles. setGeneric("snpid2alleles", signature="x", function(x, snpid, ...) standardGeneric("snpid2alleles") ) setMethod("snpid2alleles", "SNPlocs", function(x, snpid, caching=TRUE) { snpid <- .normargSnpid(snpid) if (!isTRUEorFALSE(caching)) stop("'caching' must be TRUE or FALSE") rowidx <- .snpid2rowidx(x, snpid) if (length(rowidx) == 0L) { ans <- raw(0) } else { rowidx_list <- split(unname(rowidx), names(rowidx)) alleles_list <- lapply(names(rowidx_list), function(seqname) { idx <- rowidx_list[[seqname]] .load_raw_snplocs(x, seqname, caching)$alleles[idx] }) ans <- unsplit(alleles_list, names(rowidx)) } ans <- safeExplode(rawToChar(ans)) names(ans) <- names(rowidx) ans } ) setGeneric("snpid2grange", signature="x", function(x, snpid, ...) standardGeneric("snpid2grange") ) setMethod("snpid2grange", "SNPlocs", function(x, snpid, caching=TRUE) { snpid <- .normargSnpid(snpid) if (!isTRUEorFALSE(caching)) stop("'caching' must be TRUE or FALSE") loc <- snpid2loc(x, snpid, caching=caching) alleles <- snpid2alleles(x, snpid, caching=caching) ufsnplocs <- data.frame(RefSNP_id=as.character(snpid), alleles_as_ambig=unname(alleles), loc=unname(loc), stringsAsFactors=FALSE) .SNPlocsAsGranges(x, ufsnplocs, names(loc)) } ) BSgenome/R/available.genomes.R0000644000126300012640000000353612227064177017553 0ustar00biocbuildphs_compbio.splitNameParts <- function(pkgs) { parts <- strsplit(pkgs, ".", fixed=TRUE) nparts <- elementLengths(parts) ## Some packages like BSgenome.Tgondii.ToxoDB.7.0 don't follow the rules ## and are made of more than 4 parts. has_more_than_4_parts <- which(nparts > 4L) for (i in has_more_than_4_parts) { tmp <- parts[[i]] parts[[i]] <- c(tmp[1:3], paste(tmp[4:length(tmp)], collapse=".")) } ## And just in case one day we start to see some packages with less than ## 4 parts. has_less_than_4_parts <- which(nparts < 4L) for (i in has_less_than_4_parts) { tmp <- parts[[i]] parts[[i]] <- c(tmp, rep.int(NA_character_, 4L - length(tmp))) } ## From now, any top-level element in 'parts' is guaranteed to be a ## character vector of length 4. uparts <- unlist(parts) idx4 <- (1:length(parts)) * 4L data.frame(pkgname=pkgs, organism=factor(uparts[idx4 - 2L]), provider=factor(uparts[idx4 - 1L]), provider_version=uparts[idx4], stringsAsFactors=FALSE) } installed.genomes <- function(splitNameParts=FALSE) { if (!isTRUEorFALSE(splitNameParts)) stop("'splitNameParts' must be TRUE or FALSE") pkgs <- installed.packages()[ , "Package"] pkgs <- pkgs[substr(pkgs, 1, 9) == "BSgenome."] names(pkgs) <- NULL if (splitNameParts) pkgs <- .splitNameParts(pkgs) return(pkgs) } available.genomes <- function(splitNameParts=FALSE, type=getOption("pkgType")) { if (!isTRUEorFALSE(splitNameParts)) stop("'splitNameParts' must be TRUE or FALSE") url <- getDataAnnotationContribUrl(type) pkgs <- available.packages(url)[, "Package"] pkgs <- pkgs[substr(pkgs, 1, 9) == "BSgenome."] names(pkgs) <- NULL if (splitNameParts) pkgs <- .splitNameParts(pkgs) return(pkgs) } BSgenome/R/bsapply.R0000644000126300012640000000571312227064177015650 0ustar00biocbuildphs_compbiosetClass("BSParams", representation=representation( X="BSgenome", FUN="function", exclude = "character", simplify="logical", maskList="logical", motifList="character", userMask="RangesList", invertUserMask="logical"), prototype=prototype( exclude=character(0), simplify=FALSE, maskList=logical(0), motifList=character(0), invertUserMask=FALSE, userMask=RangesList() ), validity=function(object) { msg <- TRUE if (length(object@maskList) > 0) { for(i in seq_len(length(object@maskList))) { if(!(names(object@maskList)[i] %in% masknames(object@X))) { msg <- "the names of 'maskList' must be vector of names corresponding to the default BSgenome masks." break } } } msg }) bsapply <- function(BSParams, ...) { if (!is(BSParams, "BSParams") || !isTRUE(validObject(BSParams, test=TRUE))) stop("'X' must be a valid BSgenome object") processSeqname <- function(seqname, ...) { seq <- BSParams@X[[seqname]] if (length(BSParams@maskList) > 0) { for(i in seq_len(length(BSParams@maskList))){ if(names(BSParams@maskList)[i] %in% masknames(BSParams@X)) { active(masks(seq))[names(BSParams@maskList)[i]] <- BSParams@maskList[[i]] } } } if (length(BSParams@motifList) > 0){ for(i in seq_len(length(BSParams@motifList))) { seq <- maskMotif(seq, BSParams@motifList[i]) } } seqMask <- userMask[[seqname]] if (length(seqMask) > 0) { seqMask <- Mask(length(seq), start(seqMask), end(seqMask)) if (BSParams@invertUserMask) seqMask <- gaps(seqMask) if (!is.null(masks(seq))) seqMask <- append(masks(seq), seqMask) masks(seq) <- seqMask } BSParams@FUN(seq, ...) } if (length(seqnames(BSParams@X)) > 0) seqnames <- seqnames(BSParams@X) else seqnames <- mseqnames(BSParams@X) exclude <- unname(BSParams@exclude[nzchar(BSParams@exclude)]) pariahIndex <- unique(unlist(lapply(exclude, grep, seqnames))) if (length(pariahIndex) > 0) seqnames <- seqnames[- pariahIndex] userMask <- reduce(BSParams@userMask) if (BSParams@simplify) { sapply(seqnames, processSeqname, ...) } else { GenomeData(lapply(structure(seqnames, names = seqnames), processSeqname, ...), providerVersion = providerVersion(BSParams@X), organism = organism(BSParams@X), provider = provider(BSParams@X)) } } BSgenome/R/gdReduce.R0000644000126300012640000000320512227064177015712 0ustar00biocbuildphs_compbiogdreduce <- function(...) .Deprecated("gdReduce") setGeneric("gdReduce", function(f, ..., init, right=FALSE, accumulate=FALSE, gdArgs=list()) standardGeneric("gdReduce"), signature="...") setMethod(gdReduce, "GenomeDataList", function(f, ..., init, right=FALSE, accumulate=FALSE, gdArgs=list()) { args <- list(...) if (length(args) > 1L) stop("'...' must satisfy 'length(...) == 1' in\n ", "'gdReduce,GenomeDataList-method'") gdlist <- args[[1]] gdnames <- lapply(gdlist, names) nms <- unique(unlist(gdnames)) listData <- if (missing(init)) lapply(nms, function(nm) { ok <- sapply(gdnames, match, x=nm, nomatch=0L) > 0L Reduce(f, lapply(gdlist[ok], "[[", nm), right=right, accumulate=accumulate) }) else lapply(nms, function(nm) { ok <- sapply(gdnames, match, x=nm, nomatch=0L) > 0L Reduce(f, lapply(gdlist[ok], "[[", nm), init=init, right=right, accumulate=accumulate) }) names(listData) <- nms do.call(GenomeData, c(list(listData=listData), gdArgs)) }) setMethod(gdReduce, "GenomeData", function(f, ..., init, right=FALSE, accumulate=FALSE, gdArgs=list()) { if (missing(init)) gdReduce(f, GenomeDataList(list(...)), right=right, accumulate=accumulate, gdArgs=gdArgs) else gdReduce(f, GenomeDataList(list(...)), init=init, right=right, accumulate=accumulate, gdArgs=gdArgs) }) BSgenome/R/gdapply.R0000644000126300012640000000217012227064177015630 0ustar00biocbuildphs_compbio## An apply-type function for working with GenomeData and GenomeDataList objects: gdApply <- function(...) { msg <- "gdApply() is defunct. Use gdapply() instead [all lowercase]." .Defunct(msg=msg) } setGeneric("gdapply", function(X, FUN, ...) { standardGeneric("gdapply") }) setMethod("gdapply", signature(X = "GenomeDataList", FUN = "function"), function(X, FUN, ...) { new.elements <- lapply(X, gdapply, FUN, ...) cls <- lapply(new.elements, class) ucl <- unique(unlist(cls)) if (identical(ucl, "GenomeData")) GenomeDataList(new.elements, metadata(X)) else new.elements }) setMethod("gdapply", signature(X = "GenomeData", FUN = "function"), function(X, FUN, ...) { new.elements <- lapply(X, FUN, ...) cls <- lapply(new.elements, class) ucl <- unique(unlist(cls)) if (length(ucl) == 1) GenomeData(new.elements, metadata = metadata(X)) else new.elements }) BSgenome/R/getSeq-methods.R0000644000126300012640000003615712227064177017075 0ustar00biocbuildphs_compbio### ========================================================================= ### The "getSeq" method for BSgenome objects. ### ------------------------------------------------------------------------- ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### Low-level helpers called by "getSeq" method for BSgenome objects. ### .normargStrand <- function(strand, length) { if (is(strand, "Rle")) strand <- as.vector(strand) if (is.factor(strand)) strand <- as.vector(strand) if (!is.character(strand)) stop("invalid 'strand'") lvls <- levels(strand()) if (!all(strand %in% lvls)) stop("strand values must be in '", paste(lvls, collapse="' '"), "'") if (length(strand) > length) stop("too many elements in 'strand'") if (length(strand) < length) { if (length(strand) == 0L) stop("cannot recycle zero-length 'strand'") strand <- IRanges:::recycleVector(strand, length) } strand } ### Make 'strand' star-free. ### If applied on the output of .normargStrand(), then returns a character ### vector guaranteed to have only "+" or "-" elements (no "*"). ### If applied on the output of strand(GRanges), then returns a 'factor' Rle ### guaranteed to have only "+" or "-" elements (no "*"). .starfreeStrand <- function(strand) { ustrand <- unique(strand) if (length(ustrand) == 1L && ustrand == "*") { ## Strand is "*" for all the elements. Replace it by "+". strand[] <- "+" return(strand) } if ("*" %in% ustrand) stop("cannot mix \"*\" with other strand values") strand } ### Assumes 'names' is a character vector. .normGetSeqArgs <- function(names, start, end, width, strand) { start <- IRanges:::.normargSEW(start, "start") end <- IRanges:::.normargSEW(end, "end") width <- IRanges:::.normargSEW(width, "width") l0 <- length(names) l1 <- length(start) l2 <- length(end) l3 <- length(width) max0123 <- max(l0, l1, l2, l3) ## Recycling will fail for vectors of length 0. names <- IRanges:::recycleVector(names, max0123) start <- IRanges:::recycleVector(start, max0123) end <- IRanges:::recycleVector(end, max0123) width <- IRanges:::recycleVector(width, max0123) strand <- .starfreeStrand(.normargStrand(strand, max0123)) list(names=names, start=start, end=end, width=width, strand=strand) } ### Assumes 'x' is a RangesList object with names. .newGRangesFromNamedRangesList <- function(x, strand) { seqnames <- rep.int(names(x), elementLengths(x)) ranges <- unlist(x, use.names=FALSE) strand <- .normargStrand(strand, length(ranges)) GRanges(seqnames=seqnames, ranges=ranges, strand=strand) } ### Assumes 'x' is a Ranges object with names. .newGRangesFromNamedRanges <- function(x, strand) { strand <- .normargStrand(strand, length(x)) GRanges(seqnames=names(x), ranges=unname(x), strand=strand) } ### Error messages refer to 'x' as "names" because of the context in which ### .toGRanges() is called. .toGRanges <- function(x, strand) { if (is(x, "RangedData")) { if ("strand" %in% colnames(x)) { if (!identical(strand, "+")) stop("'strand' cannot be specified when 'names' ", "is a RangedData object with a strand column") } else { strand <- Rle(strand(.normargStrand(strand, nrow(x)))) values(x) <- DataFrame(strand=strand) } return(as(x, "GRanges")) } if (is(x, "RangesList") || is(x, "Ranges")) { if (is.null(names(x))) stop("when 'names' is a RangesList or Ranges object, ", "it must be named with the sequence names") if (is(x, "RangesList")) ans <- .newGRangesFromNamedRangesList(x, strand) else ans <- .newGRangesFromNamedRanges(x, strand) return(ans) } stop("invalid 'names'") } .dropUnusedGRangesSeqnamesLevels <- function(x) { ## There should be a better way to drop unused levels! seqnames <- as.character(seqnames(x)) GRanges(seqnames=seqnames, ranges=ranges(x), strand=strand(x), seqlengths=seqlengths(x)[unique(seqnames)]) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### .extractFromBSgenomeSingleSequences() ### .getSeqsFromDNAString <- function(subject, start, end, subject_is_circ, subject_name) { if (length(start) == 0L) return(DNAStringSet()) subject_len <- length(subject) if (is.na(subject_is_circ) || !subject_is_circ) { if (min(start) < 1L || max(end) > subject_len) stop("cannot extract DNA sequences beyond the ", "boundaries of non-circular chromosome \"", subject_name, "\"") return(DNAStringSet(subject, start=start, end=end)) } if (max(end - start) >= subject_len) stop("cannot extract DNA sequences that span more than ", "the total length of circular chromosome \"", subject_name, "\"") start0 <- start - 1L # 0-based start shift <- start0 %% subject_len - start0 L_start <- start + shift end1 <- end + shift L_end <- pmin(end1, subject_len) R_start <- 1L R_end <- pmax(end1, subject_len) - subject_len L_ans <- DNAStringSet(subject, start=L_start, end=L_end) R_ans <- DNAStringSet(subject, start=R_start, end=R_end) xscat(L_ans, R_ans) } ### Assumes 'ranges' and 'strand' have the same length and that this ### length is >= 1. Also assumes that 'strand' is star-free. .extractSeqsFromStrandedDNAString <- function(subject, ranges, strand, subject_is_circ, subject_name) { rglist <- split(unname(ranges), strand) plus_ranges <- rglist[["+"]] plus_dnaset <- .getSeqsFromDNAString(subject, start(plus_ranges), end(plus_ranges), subject_is_circ, subject_name) plus_dnaset <- xvcopy(plus_dnaset) minus_ranges <- rglist[["-"]] minus_dnaset <- .getSeqsFromDNAString(subject, start(minus_ranges), end(minus_ranges), subject_is_circ, subject_name) minus_dnaset <- reverseComplement(minus_dnaset) unsplit_list_of_XVectorList("DNAStringSet", list(plus_dnaset, minus_dnaset), as.factor(strand)) } ### 'names' must be a character vector or a GRanges object. ### If 'names' is character vector, then 'start', 'end', 'width', and 'strand' ### are assumed to be already normalized (and star-free for 'strand'). ### Otherwise, they are ignored and 'strand(names)' is assumed to be star-free. .extractFromBSgenomeSingleSequences <- function(x, names, start, end, width, strand) { if (is.character(names)) { refwidths <- seqlengths(x)[names] ranges <- solveUserSEW(refwidths, start=start, end=end, width=width) names <- GRanges(seqnames=names, ranges=ranges, strand=strand) } ## Check that 'seqlengths(names)' is compatible with 'x'. #if (!all(names(seqlengths(names)) %in% names(seqlengths(x)))) # stop("sequence names in GRanges are incompatible with BSgenome object") #if (!all(is.na(seqlengths(names))) # && !identical(seqlengths(names), # seqlengths(x)[names(seqlengths(names))])) # stop("sequence lengths in GRanges are incompatible ", # "with BSgenome object") ## Split 'names' by sequence names. grl <- split(names, seqnames(names)) grl_seqlevels <- names(grl) ## Loop over the sequence names and extract the ranges. dnaset_list <- lapply(seq_len(length(grl)), function(i) { gr <- grl[[i]] if (length(gr) == 0L) return(DNAStringSet()) subject_name <- grl_seqlevels[i] subject <- x[[subject_name]] masks(subject) <- NULL subject_is_circ <- isCircular(x)[[subject_name]] .extractSeqsFromStrandedDNAString(subject, ranges(gr), strand(gr), subject_is_circ, subject_name) } ) ## "unsplit" 'dnaset_list'. unsplit_list_of_XVectorList("DNAStringSet", dnaset_list, as.factor(seqnames(names))) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### .extractFromBSgenomeMultipleSequences() ### ### Assumes that 'strand' is star-free. .getOneSeqFromBSgenomeMultipleSequences <- function(x, name, start, end, width, strand, exact.match) { nhits <- 0L for (mseqname in mseqnames(x)) { mseq <- x[[mseqname]] if (exact.match) { ii <- which(names(mseq) == name) } else { ii <- grep(name, names(mseq)) } if (nhits == 0L && length(ii) == 1L) subject <- mseq[[ii]] nhits <- nhits + length(ii) } if (nhits == 0L) stop("sequence ", name, " not found") if (nhits > 1L) stop("sequence ", name, " found more than once, ", "please use a non-ambiguous name") ans <- subseq(subject, start=start, end=end, width=width) if (strand == "+") return(xvcopy(ans)) else return(reverseComplement(ans)) } ### Assumes 'x' is a list of DNAString objects and turns it into a ### DNAStringSet object. ### TODO: Find a better way to do this (current implementation is not very ### efficient). Also maybe make this a "DNAStringSet" method for list objects. .listOfDNAStringToDNAStringSet <- function(x) { if (length(x) == 0L) return(DNAStringSet()) subject <- do.call(xscat, x) DNAStringSet(successiveViews(subject, elementLengths(x))) } ### 'names' must be a character vector or a GRanges object. ### If 'names' is character vector, then 'start', 'end', 'width', and 'strand' ### are assumed to be already normalized (and star-free for 'strand'). ### Otherwise, they are ignored and 'strand(names)' is assumed to be star-free. .extractFromBSgenomeMultipleSequences <- function(x, names, start, end, width, strand) { if (is.character(names)) { ans <- lapply(seq_len(length(names)), function(i) .getOneSeqFromBSgenomeMultipleSequences(x, names[i], start[i], end[i], width[i], strand[i], exact.match=FALSE) ) } else { ans <- lapply(seq_len(length(names)), function(i) { name <- as.character(seqnames(names))[i] start <- start(names)[i] width <- width(names)[i] strand <- as.character(strand(names))[i] .getOneSeqFromBSgenomeMultipleSequences(x, name, start, NA, width, strand, exact.match=TRUE) } ) } .listOfDNAStringToDNAStringSet(ans) } ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ### The "getSeq" generic and method for BSgenome objects. ### setMethod("getSeq", "BSgenome", function(x, names, start=NA, end=NA, width=NA, strand="+", as.character=FALSE) { if (!isTRUEorFALSE(as.character)) stop("'as.character' must be TRUE or FALSE") if (missing(names)) { names <- seqnames(x) } else { if (is(names, "Rle")) names <- as.vector(names) if (is.factor(names)) names <- as.vector(names) } if (is.character(names)) { args <- .normGetSeqArgs(names, start, end, width, strand) sseq_idx <- args$names %in% seqnames(x) sseq_args <- list(names=args$names[sseq_idx], start=args$start[sseq_idx], end=args$end[sseq_idx], width=args$width[sseq_idx], strand=args$strand[sseq_idx]) mseq_idx <- !sseq_idx mseq_args <- list(names=args$names[mseq_idx], start=args$start[mseq_idx], end=args$end[mseq_idx], width=args$width[mseq_idx], strand=args$strand[mseq_idx]) } else { if (!identical(c(start, end, width), c(NA, NA, NA))) stop("'start', 'end' and 'width' can only be specified when ", "'names' is either missing, a character vector/factor, ", "a character-Rle, or a factor-Rle") if (is(names, "GRanges") || is(names, "GRangesList")) { if (!identical(strand, "+")) stop("'strand' cannot be specified ", "when 'names' is a GRanges or GRangesList object") if (is(names, "GRangesList")) { unlisted_names <- unlist(names, use.names=FALSE) unlisted_ans <- getSeq(x, unlisted_names, as.character=as.character) return(relist(unlisted_ans, names)) } } else { names <- .toGRanges(names, strand) } ## We don't need the result of merge(). By calling merge() here ## we're just making sure that 'x' and 'names' are based on ## compatible reference genomes (merge() will raise an error if ## they are not). merge(seqinfo(x), seqinfo(names)) strand(names) <- .starfreeStrand(strand(names)) seqnames <- as.character(seqnames(names)) sseq_idx <- seqnames %in% seqnames(x) sseq_args <- list(names=.dropUnusedGRangesSeqnamesLevels( names[sseq_idx])) mseq_idx <- !sseq_idx mseq_args <- list(names=names[mseq_idx]) } ans <- rep.int(DNAStringSet(""), length(sseq_idx)) ans[sseq_idx] <- .extractFromBSgenomeSingleSequences(x, sseq_args$names, sseq_args$start, sseq_args$end, sseq_args$width, sseq_args$strand) ans[mseq_idx] <- .extractFromBSgenomeMultipleSequences(x, mseq_args$names, mseq_args$start, mseq_args$end, mseq_args$width, mseq_args$strand) if (as.character) ans <- as.character(ans) else if (length(ans) == 1L && is.character(names)) ans <- ans[[1L]] # turn 1st and unique element into DNAString ans } ) BSgenome/R/injectSNPs.R0000644000126300012640000000265712227064177016222 0ustar00biocbuildphs_compbio### ========================================================================= ### SNP injection ### ------------------------------------------------------------------------- installed.SNPs <- function() { pkgs <- installed.packages()[ , "Package"] pkgs <- pkgs[substr(pkgs, 1, 8) == "SNPlocs."] names(pkgs) <- NULL return(pkgs) } available.SNPs <- function(type=getOption("pkgType")) { url <- getDataAnnotationContribUrl(type) pkgs <- available.packages(url)[, "Package"] pkgs <- pkgs[substr(pkgs, 1, 8) == "SNPlocs."] names(pkgs) <- NULL return(pkgs) } setGeneric("injectSNPs", signature="x", function(x, SNPlocs_pkgname) standardGeneric("injectSNPs") ) setMethod("injectSNPs", "BSgenome", function(x, SNPlocs_pkgname) { if (!is.null(SNPlocs_pkgname(x))) stop("SNPs were already injected in genome 'x'. ", "Injecting from more than 1 package is not supported.") ans <- x ## We want the original sequence names, not the user sequence names, ## so we use 'seqnames(x@seqinfo)' instead of 'seqnames(x)'. ans@injectSNPs_handler <- InjectSNPsHandler(SNPlocs_pkgname, x@seqs_pkgname, seqnames(x@seqinfo)) ans@.seqs_cache <- new.env(parent=emptyenv()) ans@.link_counts <- new.env(parent=emptyenv()) ans } ) BSgenome/R/utils.R0000644000126300012640000000110412227064177015324 0ustar00biocbuildphs_compbio### ========================================================================= ### Some low-level internal (i.e. non-exported) utilities ### ------------------------------------------------------------------------- getDataAnnotationContribUrl <- function(type=getOption("pkgType")) { ## Just to avoid codetools "no visible binding" NOTE biocinstallRepos <- NULL ## Sourcing this file will define the 'biocinstallRepos' function suppressWarnings(source("http://bioconductor.org/biocLite.R", local=TRUE)) contrib.url(biocinstallRepos()["BioCann"], type=type) } BSgenome/TODO0000644000126300012640000000131512227064204014323 0ustar00biocbuildphs_compbio- RangesList - Make GenomicRanges() accept IRanges as 'start' parameter #+begin_src R library("GenomicFeatures") library("Rsamtools") library("BSgenome") st <- system.time bamFile <- "NA19239.SLX.maq.SRP000033.2009_09.subset.bam" tx <- loadFeatures("ucsc-human.sqlite") ## FIXME: need to align chromosome naming conventions. ## bam file uses "1" and tx db uses "chr1". ## ## one solution is: ## runValue(bigPat@unlistData@seqnames) <- ## paste("chr", runValue(bigPat@unlistData@seqnames), sep = "") ## st(bigTarget <- transcripts(tx)) ## or load serialized? st(bigPat <- readBAMasAlignments1(bamFile)) st(olaps <- findOverlaps(bigPat[1:500], bigTarget)) #+end_src BSgenome/build/0000755000126300012640000000000012227133625014736 5ustar00biocbuildphs_compbioBSgenome/build/vignette.rds0000644000126300012640000000052012227133625017272 0ustar00biocbuildphs_compbio‹}Q]Oƒ0íCFbüX|ïƒÏü7Dɲ M|m @#´5Ä7ù°@ïÜpøÐö~žsï雃š"C©¡Lc¡.KË.n¢¹z¯–AB¹È©/Ê„º[^ëÄâ¡ ””aÊxÒ¥Ž{oE¥ÀqÛŠ (IpAÂw’P]ûtÇ,d”K¬‹*@Æ5“)^2QÉR¹&<Â2¥§ñªÿ(¢xl6uÜ{1X ÿ¬ÞÂu}}?:xã–°zíÙÀ¢}Ã[ßA* Ÿ”‡2_WÁJÛ7§åì™ìlkŒÉØŽ’:¿ÒëÈ5T`’±„çê×`À`½Q?`¶OtlÆI¾ÿÀôY³&÷Ž±ñ|mN@ð3”G@o?Ó¯Z”Ñh^ŠÚ²óV÷ou5M³Nf¤‚‰ è´2ºq©ú•·û½­ÖYBSgenome/inst/0000755000126300012640000000000012227064200014604 5ustar00biocbuildphs_compbioBSgenome/inst/BSgenomeDataPkg-template/0000755000126300012640000000000012227064200021350 5ustar00biocbuildphs_compbioBSgenome/inst/BSgenomeDataPkg-template/DESCRIPTION0000644000126300012640000000070012227064200023053 0ustar00biocbuildphs_compbioPackage: @PKGNAME@ Title: @PKGTITLE@ Description: @PKGDESCRIPTION@ Version: @PKGVERSION@ Author: @AUTHOR@ Maintainer: @MAINTAINER@ Depends: BSgenome (>= @BSGENOMEVERSION@) Imports: BSgenome License: @LIC@ organism: @ORGANISM@ species: @SPECIES@ provider: @PROVIDER@ provider_version: @PROVIDERVERSION@ release_date: @RELEASEDATE@ release_name: @RELEASENAME@ source_url: @SOURCEURL@ biocViews: AnnotationData, Genetics, BSgenome, @ORGANISMBIOCVIEW@ BSgenome/inst/BSgenomeDataPkg-template/NAMESPACE0000644000126300012640000000046512227064200022574 0ustar00biocbuildphs_compbioimport(BSgenome) ### Don't export @PKGNAME@ or @BSGENOMEOBJNAME@ (the new and old names of the ### BSgenome object defined in this package): the object is created and its 2 ### names are dynamically exported at load time (refer to R/zzz.R for the ### details). #export(@PKGNAME@) #export(@BSGENOMEOBJNAME@) BSgenome/inst/BSgenomeDataPkg-template/R/0000755000126300012640000000000012227064200021551 5ustar00biocbuildphs_compbioBSgenome/inst/BSgenomeDataPkg-template/R/zzz.R0000644000126300012640000000240412227064200022531 0ustar00biocbuildphs_compbio### ### .pkgname <- "@PKGNAME@" .seqnames <- @SEQNAMES@ .circ_seqs <- @CIRCSEQS@ .mseqnames <- @MSEQNAMES@ .nmask_per_seq <- @NMASKPERSEQ@ .onLoad <- function(libname, pkgname) { if (pkgname != .pkgname) stop("package name (", pkgname, ") is not ", "the expected name (", .pkgname, ")") extdata_dirpath <- system.file("extdata", package=pkgname, lib.loc=libname, mustWork=TRUE) ## Make and export BSgenome object. bsgenome <- BSgenome( organism="@ORGANISM@", species="@SPECIES@", provider="@PROVIDER@", provider_version="@PROVIDERVERSION@", release_date="@RELEASEDATE@", release_name="@RELEASENAME@", source_url="@SOURCEURL@", seqnames=.seqnames, circ_seqs=.circ_seqs, mseqnames=.mseqnames, seqs_pkgname=pkgname, seqs_dirpath=extdata_dirpath, nmask_per_seq=.nmask_per_seq, masks_pkgname=pkgname, masks_dirpath=extdata_dirpath ) ns <- asNamespace(pkgname) objname <- pkgname assign(objname, bsgenome, envir=ns) namespaceExport(ns, objname) old_objname <- "@BSGENOMEOBJNAME@" assign(old_objname, bsgenome, envir=ns) namespaceExport(ns, old_objname) } BSgenome/inst/BSgenomeDataPkg-template/inst/0000755000126300012640000000000012227064200022325 5ustar00biocbuildphs_compbioBSgenome/inst/BSgenomeDataPkg-template/inst/extdata/0000755000126300012640000000000012227064200023757 5ustar00biocbuildphs_compbioBSgenome/inst/BSgenomeDataPkg-template/man/0000755000126300012640000000000012227064200022123 5ustar00biocbuildphs_compbioBSgenome/inst/BSgenomeDataPkg-template/man/package.Rd0000644000126300012640000000324012227064200024004 0ustar00biocbuildphs_compbio\name{@PKGNAME@} \docType{package} \alias{@PKGNAME@-package} \alias{@PKGNAME@} \alias{@BSGENOMEOBJNAME@} \title{@PKGTITLE@} \description{ @PKGDESCRIPTION@ } \details{ @PKGDETAILS@ } \note{ This BSgenome data package was made from the following source data files: \preformatted{ @SRCDATAFILES1@ @SRCDATAFILES2@ } See \code{?\link[BSgenome]{BSgenomeForge}} and the BSgenomeForge vignette (\code{vignette("BSgenomeForge")}) in the BSgenome software package for how to make a BSgenome data package. } \author{@AUTHOR@} \seealso{ \link[BSgenome]{BSgenome-class}, \link[Biostrings]{DNAString-class}, \code{\link[BSgenome]{available.genomes}}, \link[BSgenome]{BSgenomeForge} } \examples{ @PKGNAME@ genome <- @PKGNAME@ seqlengths(genome) @PKGEXAMPLES@ if ("AGAPS" \%in\% masknames(genome)) { ## Check that the assembly gaps contain only Ns: checkOnlyNsInGaps <- function(seq) { ## Replace all masks by the inverted AGAPS mask masks(seq) <- gaps(masks(seq)["AGAPS"]) unique_letters <- uniqueLetters(seq) if (any(unique_letters != "N")) stop("assembly gaps contain more than just Ns") } ## A message will be printed each time a sequence is removed ## from the cache: options(verbose=TRUE) for (seqname in seqnames(genome)) { cat("Checking sequence", seqname, "... ") seq <- genome[[seqname]] checkOnlyNsInGaps(seq) cat("OK\n") } } ## See the GenomeSearching vignette in the BSgenome software ## package for some examples of genome-wide motif searching using ## Biostrings and the BSgenome data packages: if (interactive()) vignette("GenomeSearching", package="BSgenome") } \keyword{package} \keyword{data} BSgenome/inst/doc/0000755000126300012640000000000012227133625015361 5ustar00biocbuildphs_compbioBSgenome/inst/doc/BSgenomeForge.R0000644000126300012640000000212612227133531020163 0ustar00biocbuildphs_compbio### R code from vignette source 'BSgenomeForge.Rnw' ################################################### ### code chunk number 1: BSgenomeForge.Rnw:162-165 ################################################### library(Biostrings) file <- system.file("extdata", "ce2chrM.fa", package="BSgenome") fasta.info(file) ################################################### ### code chunk number 2: BSgenomeForge.Rnw:494-499 ################################################### library(BSgenome) seed_files <- system.file("extdata", "GentlemanLab", package="BSgenome") list.files(seed_files, pattern="-seed$") rn4_seed <- list.files(seed_files, pattern="rn4", full.names=TRUE) cat(readLines(rn4_seed), sep="\n") ################################################### ### code chunk number 3: BSgenomeForge.Rnw:512-514 (eval = FALSE) ################################################### ## library(BSgenome) ## forgeBSgenomeDataPkg("path/to/my/seed") ################################################### ### code chunk number 4: BSgenomeForge.Rnw:545-546 ################################################### sessionInfo() BSgenome/inst/doc/BSgenomeForge.Rnw0000644000126300012640000005740412227064200020535 0ustar00biocbuildphs_compbio%\VignetteIndexEntry{How to forge a BSgenome data package} %\VignetteKeywords{Genome, BSgenome, DNA, Sequence, UCSC, BSgenome data package} %\VignettePackage{BSgenome} % % NOTE -- ONLY EDIT THE .Rnw FILE!!! The .tex file is % likely to be overwritten. % \SweaveOpts{keep.source=TRUE} \documentclass[10pt]{article} %\usepackage{amsmath} %\usepackage[authoryear,round]{natbib} % % NOTE -- There is an obscure issue with the use of \url from the hyperref % package that will trigger a MiKTeX/pdflatex error: % ! pdfTeX error (ext4): \pdfendlink ended up in different nesting level than \pd % fstartlink. % \AtBegShi@Output ...ipout \box \AtBeginShipoutBox % \fi \fi % l.96 \end{document} % % ! ==> Fatal error occurred, no output PDF file produced! % Transcript written on BSgenomeForge1.log. % The error is hard to reproduce. I've observed it on the r34270 version of this % vignette and with the following version of the MiKTeX/pdflatex command: % MiKTeX-pdfTeX 2.7.3147 (1.40.9) (MiKTeX 2.7) \usepackage{hyperref} \usepackage{underscore} \textwidth=6.5in \textheight=8.5in \parskip=.3cm \oddsidemargin=.1in \evensidemargin=.1in \headheight=-.3in \newcommand{\scscst}{\scriptscriptstyle} \newcommand{\scst}{\scriptstyle} \newcommand{\R}{\textsf{R}} \newcommand{\code}[1]{\texttt{#1}} \newcommand{\term}[1]{\emph{#1}} \newcommand{\Rpackage}[1]{\textsf{#1}} \newcommand{\Rfunction}[1]{\texttt{#1}} \newcommand{\Robject}[1]{\texttt{#1}} \newcommand{\Rclass}[1]{\textit{#1}} \newcommand{\Rmethod}[1]{\textit{#1}} \newcommand{\Rfunarg}[1]{\textit{#1}} \bibliographystyle{plainnat} \begin{document} \title{How to forge a BSgenome data package} \author{Herv\'e Pag\`es \\ Gentleman Lab \\ Fred Hutchinson Cancer Research Center \\ Seattle, WA} \date{\today} \maketitle \tableofcontents \section{Introduction} This document describes the process of forging a \term{BSgenome data package}. It is intended for Bioconductor users who want to make a new \term{BSgenome data package}, not for regular users of these packages. Start {\R} (make sure you are using the latest release version), load the \Rpackage{BSgenome} package, and use the \Rfunction{available.genomes} function to get the list of \term{BSgenome data packages} available in the current release version of Bioconductor. So you confirm that none of those genomes suits your needs? And you want to make your own package? If your answer is yes to these 2 questions, then you've come to the right place. Requirements: \begin{itemize} \item Some basic knowledge of the Unix/Linux command line is required. The commands that you will most likely need are: \code{cd}, \code{mkdir}, \code{mv}, \code{rmdir}, \code{tar}, \code{gunzip}, \code{unzip}, \code{ftp} and \code{wget}. Also you will need to create and edit some text files. \item You need access to a good Unix/Linux build machine with a decent amount of RAM (>= 4GB), especially if your genome is big. For smaller genomes, 2GB or even 1GB of RAM might be enough. \item You need the latest release versions of {\R} plus the \Rpackage{Biostrings} and \Rpackage{BSgenome} packages installed on the build machine. To check your installation, start {\R} and try to load the \Rpackage{BSgenome} package. \item Finally, you need to obtain the \term{source data files} of the genome that you want to build a package for. There are 2 groups of \term{source data files}: (1) the files containing the sequence data (those files are required), and (2) the files containing the mask data (those files are optional). For most organisms, these files have been made publicly available on the internet by genome providers like UCSC, NCBI, FlyBase, TAIR, etc. The next section of this document explains how to obtain and prepare these files. \end{itemize} Refer to the \textit{R Installation and Administration} manual \footnote{\url{http://cran.r-project.org/doc/manuals/R-admin.html}} if you need to install {\R} or upgrade your {\R} version, and to the \textit{Bioconductor - Install} page \footnote{\url{http://bioconductor.org/install/}} on the Bioconductor website if you need to install or update the \Rpackage{Biostrings} or \Rpackage{BSgenome} packages. Questions, comments or bug reports about this document or about the BSgenomeForge functions are welcome. Please address them to the author (\code{hpages@fhcrc.org}) or post them on The Bioconductor Project Mailing List (\code{bioconductor@r-project.org}). Don't forget to visit the Bioconductor website \footnote{\url{http://bioconductor.org/}} and subscribe to this list if you've not already done so. In this document, we call \term{target package} the \term{BSgenome data package} that we want to forge. \section{Obtain and prepare the source data files} As mentioned earlier, there are 2 groups of \term{source data files}: (1) the files containing the sequence data (required), and (2) the files containing the mask data (optional). \subsection{Sequence data (group 1)} Group 1 must be FASTA files. You need 1 file per sequence that you want to put in the \term{target package}. The name of each file must be of the form \textit{}\textit{}\textit{} where \textit{} is the name of the sequence in it and \textit{} and \textit{} are a prefix and a suffix (eventually empty) that are the same for all the files. For example the FASTA files available at UCSC in the ``Data set by chromosome'' section for Stickleback (\url{http://hgdownload.cse.ucsc.edu/goldenPath/gasAcu1/chromosomes/}) could already be considered to have names of this form (\texttt{chrI.fa.gz}, \texttt{chrII.fa.gz}, \texttt{chrIII.fa.gz}, ..., \texttt{chrXXI.fa.gz}, \texttt{chrM.fa.gz} and \texttt{chrUn.fa.gz}). However, because the files will need to be uncompressed after download and before they can be used by the forging process, the suffix will need to be set to \texttt{.fa}, not \texttt{.fa.gz}. Also the prefix here is empty, not \texttt{chr}, because \texttt{chr} is considered to be part of the sequence names (a chromosome naming convention commonly used at UCSC). Note that, alternatively, you can download and extract the big \texttt{chromFa.tar.gz} tarball located in the ``Full data set'' section (aka the \textit{bigZips} folder) for Stickleback (\url{http://hgdownload.cse.ucsc.edu/goldenPath/gasAcu1/bigZips/}): it should contain the same files as the ``Data set by chromosome'' folder. You can use the \Rfunction{fasta.info} function from the \Rpackage{Biostrings} package to see what's in a FASTA file: <<>>= library(Biostrings) file <- system.file("extdata", "ce2chrM.fa", package="BSgenome") fasta.info(file) @ \subsection{Mask data (group 2)} The mask data are not available for all organisms. What you download exactly depends of course on what's available and also on what built-in masks you want to have in the \term{target package}. 4 kinds of built-in masks are currently supported by BSgenomeForge: \begin{itemize} \item the masks of assembly gaps, aka ``the AGAPS masks''; \item the masks of intra-contig ambiguities, aka ``the AMB masks''; \item the masks of repeat regions that were determined by the RepeatMasker software, aka ``the RM masks''; \item the masks of repeat regions that were determined by the Tandem Repeats Finder software (where only repeats with period less than or equal to 12 were kept), aka ``the TRF masks''. \end{itemize} For the AGAPS masks, you need UCSC ``gap'' or NCBI ``agp'' files. It can be one file per chromosome or a single big file containing the assembly gap information for all the chromosomes together. In the former case, the name of each file must be of the form \textit{}\textit{}\textit{}. Like for the FASTA files in group 1, \textit{} must be the name of the sequence (sequence names for FASTA files and AGAPS masks must match) and \textit{} and \textit{} must be a prefix and a suffix (eventually empty) that are the same for all the files (this prefix/suffix doesn't need to be, and typically is not, the same as for the FASTA files in group 1). You don't need any file for the AMB masks. For the RM masks, you need RepeatMasker \texttt{.out} files. Like for the AGAPS masks, it can be one file per chromosome or a single big file containing the RepeatMasker information for all the chromosomes together. In the former case, the name of each file must also be of the form \textit{}\textit{}\textit{}. Same comments apply as for the AGAPS masks above. For the TRF masks, you need Tandem Repeats Finder \texttt{.bed} files. Again, it can be one file per chromosome or a single big file. In the former case, the name of each file must also be of the form \textit{}\textit{}\textit{}). Same comments apply as for the AGAPS masks above. Again, for some organisms none of the masks above are available or only some of them are. \subsection{An example} Here is how the \term{source data files} for the \Rpackage{BSgenome.Rnorvegicus.UCSC.rn4} package were obtained and prepared: \begin{itemize} \item Group 1: \begin{itemize} \item Single sequences: file \texttt{chromFa.tar.gz} was downloaded from the UCSC \textit{bigZips} folder \footnote{\url{http://hgdownload.cse.ucsc.edu/goldenPath/rn4/bigZips/}} for \code{rn4} and extracted with: \begin{verbatim} tar zxf chromFa.tar.gz \end{verbatim} \item Multiple sequences: files \texttt{upstream1000.fa.gz}, \texttt{upstream2000.fa.gz} and \texttt{upstream5000.fa.gz} were downloaded from the same \textit{bigZips} folder and uncompressed with: \begin{verbatim} for file in upstream*.fa.gz; do gunzip $file ; done \end{verbatim} \end{itemize} \item Group 2: \begin{itemize} \item AGAPS masks: all the \texttt{chr*\_gap.txt.gz} files (UCSC ``gap'' files) were downloaded from the UCSC \textit{database} folder \footnote{\url{http://hgdownload.cse.ucsc.edu/goldenPath/rn4/database/}} for \code{rn4}. This was done with the standard Unix/Linux \code{ftp} command: \begin{verbatim} ftp hgdownload.cse.ucsc.edu # login as "anonymous" cd goldenPath/rn4/database prompt mget chr*_gap.txt.gz \end{verbatim} Then all the downloaded files were uncompressed with: \begin{verbatim} for file in chr*_gap.txt.gz; do gunzip $file ; done \end{verbatim} \item RM masks: file \texttt{chromOut.tar.gz} was downloaded from the UCSC \textit{bigZips} folder and extracted with: \begin{verbatim} tar zxf chromOut.tar.gz \end{verbatim} \item TRF masks: file \texttt{chromTrf.tar.gz} was downloaded from the UCSC \textit{bigZips} folder and extracted with: \begin{verbatim} tar zxf chromTrf.tar.gz \end{verbatim} \end{itemize} \end{itemize} \subsection{The \textit{} and \textit{} folders} From now we assume that you've downloaded (checking the md5sums is always a good idea), extracted, and eventually renamed all the \term{source data files}, and that they are located in the \textit{} folder for group 1 and in the \textit{} folder for group 2. Note that all the \term{source data files} should be located directly in the \textit{} and \textit{} folders, not in subfolders of these folders. For example, depending on the genome, UCSC provides either a big \texttt{chromFa.tar.gz} or \texttt{chromFa.zip} file that contains the sequence data for all the chromosomes. But it could be that, after extraction of this big file, the individual FASTA files for each chromosome end up being located one level down the \textit{} folder (granted that you were in this folder when you extracted the file). If this is the case, then you will need to move them one level up (use \code{mv -i */*.fa .} for this, then remove all the empty subfolders with \code{rmdir *}). \section{Prepare the BSgenome data package seed file} \subsection{Overview} The \term{BSgenome data package seed file} will contain all the information needed by the \Rfunction{forgeBSgenomeDataPkg} function to forge the \term{target package}. The format of this file is DCF (Debian Control File), which is also the format used for the \texttt{DESCRIPTION} file of any {\R} package. The valid fields of a \term{seed file} are divided in 3 categories: \begin{enumerate} \item Standard \texttt{DESCRIPTION} fields. These fields are actually the mandatory fields found in any \texttt{DESCRIPTION} file. They will be copied to the \texttt{DESCRIPTION} file of the \term{target package}. \item Non-standard \texttt{DESCRIPTION} fields. These fields are specific to \term{seed files} and they will also be copied to the \texttt{DESCRIPTION} file of the \term{target package}. In addition, the values of those fields will be stored in the \Rclass{BSgenome} object that will be contained in the \term{target package}. This means that the users of the \term{target package} will be able to retrieve these values via the accessor methods defined for \Rclass{BSgenome} objects. See the man page for the \Rclass{BSgenome} class (\code{{?}`BSgenome-class`}) for a description of these methods. \item Additional fields that don't fall in the 2 first categories. \end{enumerate} The 3 following subsections give an extensive descriptions of all the valid fields of a \term{seed file}. Alternatively, the reader in a hurry can go directly to the last subsection of this section for an example of \term{seed file}. \subsection{Standard \texttt{DESCRIPTION} fields} \begin{itemize} \item \code{Package}: Name to give to the \term{target package}. The convention used for the packages built by the Bioconductor project is to use names made of 4 parts separated by a dot. Part 1 is always \code{BSgenome}. Part 2 is the abbreviated name of the organism (when the name of the organism is made of 2 words, we put together the first letter of the first word in upper case followed by the entire second word in lower case e.g. \code{Rnorvegicus}). Part 3 is the name of the organisation who provided the genome (e.g. \code{UCSC}). Part 4 is the release string or number used by this organisation to identify this version of the genome (e.g. \code{rn4}). \item \code{Title}: The title of the package. E.g. \code{Rattus norvegicus full genome (UCSC version rn4)}. \item \code{Description}, \code{Version}, \code{Author}, \code{Maintainer}, \code{License}: Like the 2 previous fields, these are mandatory fields found in any \texttt{DESCRIPTION} file. Please refer to the \textit{The DESCRIPTION file} section of the \textit{Writing R Extensions} manual \footnote{\url{http://cran.r-project.org/doc/manuals/R-exts.html\#The-DESCRIPTION-file}} for more information about these fields. If you plan to distribute the package that you are going to forge, please pickup the license carefully and make sure that it is compatible with the license of the \term{source data files} if any. \end{itemize} \subsection{Non-standard \texttt{DESCRIPTION} fields} \begin{itemize} \item \code{organism}: The full name of the organism (e.g. \code{Rattus norvegicus}). \item \code{species}: The name of the species. For the packages built by the Bioconductor project from a UCSC genome, this field corresponds to the \code{SPECIES} column of the \textit{List of UCSC genome releases} table \footnote{\url{http://genome.ucsc.edu/FAQ/FAQreleases\#release1}}. \item \code{provider}: The provider of the \term{source data files} e.g. \code{UCSC}, \code{NCBI}, \code{BDGP}, \code{FlyBase}, etc... Should preferably match part 3 of the package name (field \code{Package}). \item \code{provider\_version}: The provider-side version of the genome. Should preferably match part 4 of the package name (field \code{Package}). For the packages built by the Bioconductor project from a UCSC genome, this field corresponds to the \code{UCSC VERSION} field of the \textit{List of UCSC genome releases} table. \item \code{release\_date}: When this assembly of the genome was released. For the packages built by the Bioconductor project from a UCSC genome, this field corresponds to the \code{RELEASE DATE} field of the \textit{List of UCSC genome releases} table. \item \code{release\_name}: The release name or build number of this assembly of the genome. For the packages built by the Bioconductor project from a UCSC genome, this field corresponds to the \code{RELEASE NAME} field of the \textit{List of UCSC genome releases} table. \item \code{source\_url}: The permanent URL where the \term{source data files} used to forge this package can be found. \item \code{organism\_biocview}: The official biocViews term for this organism. This is generally the same as the \code{organism} field except that spaces should be replaced by underscores. The value of this field matters only if the \term{target package} is going to be added to a Bioconductor repository since it will determine under which subview of the \textit{Bioconductor Task View} for \textit{Organism} \footnote{\url{http://bioconductor.org/packages/release/Organism.html}} the package will appear. Note that this is the only field in this category that won't be stored in the \Rclass{BSgenome} object that will be contained in the \term{target package}. \end{itemize} \subsection{Other fields} \begin{itemize} \item \code{BSgenomeObjname}: Should match part 2 of the package name (field \code{Package}). \item \code{seqnames}: An {\R} expression returning the names of the single sequences to forge (in a character vector). E.g. \code{paste("chr", c(1:20, "X", "M", "Un", paste(c(1:20, "X", "Un"), "\_random", sep="")), sep="")}. \item \code{circ\_seqs}: [OPTIONAL] An {\R} expression returning the names of the circular sequences (in a character vector). This must be a subset of the \code{seqnames} specified above. E.g. \code{"chrM"} for rn4 or \code{c("chrM", "2micron")} for the sacCer2 genome (Yeast) from UCSC. The default value for \code{circ\_seqs} is \code{NULL} (no circular sequence). \item \code{mseqnames}: [OPTIONAL] An {\R} expression returning the names of the multiple sequences to forge (in a character vector). E.g. \code{paste("upstream", c("1000", "2000", "5000"), sep="")}. The default value for \code{mseqnames} is \code{NULL} (no multiple sequence). \item \code{nmask\_per\_seq}: [OPTIONAL] The number of masks per sequence (0 to 4). The default value for \code{nmask\_per\_seq} is \code{0} (no mask). \item \code{PkgDetails}: [OPTIONAL] Some arbitrary text that will be copied to the \code{Details} section of the man page of the \term{target package}. \item \code{SrcDataFiles1}, \code{SrcDataFiles2}: [OPTIONAL] Some arbitrary text that will be copied to the \code{Note} section of the man pages of the \term{target package}. \code{SrcDataFiles1} should describe briefly where the \term{source data files} for the sequences are coming from. \code{SrcDataFiles2} should do the same for the masks. Permanent URLs are a must. \item \code{PkgExamples}: [OPTIONAL] Some {\R} code (eventually with comments) that will be added to the \code{Examples} section of the man page of the \term{target package}. \item \code{seqs\_srcdir}, \code{masks\_srcdir}: The path to the \textit{} and \textit{} folders, respectively. \item \code{seqfiles\_prefix}, \code{seqfiles\_suffix}: [OPTIONAL] The common prefix and suffix that need to be added to all the sequence names (fields \code{seqnames} and \code{mseqnames}) to get the name of the corresponding FASTA file. Default values are the empty prefix for \code{seqfiles\_prefix} and \code{.fa} for \code{seqfiles\_suffix}. \item \code{AGAPSfiles\_type}: [OPTIONAL] Must be \code{gap} (the default) if the \term{source data files} containing the AGAPS masks information are UCSC ``gap'' files, or \code{agp} if they are NCBI ``agp'' files. \item \code{AGAPSfiles\_name}: [OPTIONAL] Omit this field if you have one \term{source data file} per single sequence for the AGAPS masks and use the \code{AGAPSfiles\_prefix} and \code{AGAPSfiles\_suffix} fields below instead. Otherwise, use this field to specify the name of the single big file. \item \code{AGAPSfiles\_prefix}, \code{AGAPSfiles\_suffix}: [OPTIONAL] Omit these fields if you have one single big \term{source data file} for all the AGAPS masks and use the \code{AGAPSfiles\_name} field above instead. Otherwise, use these fields to specify the common prefix and suffix that need to be added to all the single sequence names (field \code{seqnames}) to get the name of the file that contains the corresponding AGAPS mask information. Default values are the empty prefix for \code{AGAPSfiles\_prefix} and \code{\_gap.txt} for \code{AGAPSfiles\_suffix}. \item \code{RMfiles\_name}, \code{RMfiles\_prefix}, \code{RMfiles\_suffix}: [OPTIONAL] Those fields work like the \code{AGAPSfiles*} fields above but for the RM masks. Default values are the empty prefix for \code{RMfiles\_prefix} and \texttt{.fa.out} for \code{RMfiles\_suffix}. \item \code{TRFfiles\_name}, \code{TRFfiles\_prefix}, \code{TRFfiles\_suffix}: [OPTIONAL] Those fields work like the \code{AGAPSfiles*} fields above but for the TRF masks. Default values are the empty prefix for \code{TRFfiles\_prefix} and \texttt{.bed} for \code{TRFfiles\_suffix}. \end{itemize} \subsection{An example} The \term{seed files} used for the packages forged by the Bioconductor project are included in the \Rpackage{BSgenome} package: <<>>= library(BSgenome) seed_files <- system.file("extdata", "GentlemanLab", package="BSgenome") list.files(seed_files, pattern="-seed$") rn4_seed <- list.files(seed_files, pattern="rn4", full.names=TRUE) cat(readLines(rn4_seed), sep="\n") @ From now we assume that you have managed to prepare the \term{seed file} for your package. \section{Forge the \term{target package}} To forge the package, start \R, load the \Rpackage{BSgenome} package, and call the \Rfunction{forgeBSgenomeDataPkg} function on your \term{seed file}. For example, if the path to your \term{seed file} is \texttt{"path/to/my/seed"}, do: <>= library(BSgenome) forgeBSgenomeDataPkg("path/to/my/seed") @ Depending on the size of the genome and your hardware, this can take between 2 minutes and 1 or 2 hours. By default \Rfunction{forgeBSgenomeDataPkg} will create the source tree of the \term{target package} in the current directory. Once \Rfunction{forgeBSgenomeDataPkg} is done, ignore the warnings (if any), quit \R, and build the source package (tarball) with \begin{verbatim} R CMD build \end{verbatim} where \code{} is the path to the source tree of the package. Then check the package with \begin{verbatim} R CMD check \end{verbatim} where \code{} is the path to the tarball produced by \code{R CMD build}. Finally install the package with \begin{verbatim} R CMD INSTALL \end{verbatim} and use it! \section{Session information} The output in this vignette was produced under the following conditions: <<>>= sessionInfo() @ \end{document} BSgenome/inst/doc/BSgenomeForge.pdf0000644000126300012640000075465512227133531020560 0ustar00biocbuildphs_compbio%PDF-1.4 %ÐÔÅØ 1 0 obj << /S /GoTo /D (section.1) >> endobj 4 0 obj (Introduction) endobj 5 0 obj << /S /GoTo /D (section.2) >> endobj 8 0 obj (Obtain and prepare the source data files) endobj 9 0 obj << /S /GoTo /D (subsection.2.1) >> endobj 12 0 obj (Sequence data \(group 1\)) endobj 13 0 obj << /S /GoTo /D (subsection.2.2) >> endobj 16 0 obj (Mask data \(group 2\)) endobj 17 0 obj << /S /GoTo /D (subsection.2.3) >> endobj 20 0 obj (An example) endobj 21 0 obj << /S /GoTo /D (subsection.2.4) >> endobj 24 0 obj (The and folders) endobj 25 0 obj << /S /GoTo /D (section.3) >> endobj 28 0 obj (Prepare the BSgenome data package seed file) endobj 29 0 obj << /S /GoTo /D (subsection.3.1) >> endobj 32 0 obj (Overview) endobj 33 0 obj << /S /GoTo /D (subsection.3.2) >> endobj 36 0 obj (Standard DESCRIPTION fields) endobj 37 0 obj << /S /GoTo /D (subsection.3.3) >> endobj 40 0 obj (Non-standard DESCRIPTION fields) endobj 41 0 obj << /S /GoTo /D (subsection.3.4) >> endobj 44 0 obj (Other fields) endobj 45 0 obj << /S /GoTo /D (subsection.3.5) >> endobj 48 0 obj (An example) endobj 49 0 obj << /S /GoTo /D (section.4) >> endobj 52 0 obj (Forge the target package) endobj 53 0 obj << /S /GoTo /D (section.5) >> endobj 56 0 obj (Session information) endobj 57 0 obj << /S /GoTo /D [58 0 R /Fit ] >> endobj 74 0 obj << /Length 1167 /Filter /FlateDecode >> stream xÚíXKo7¾ëWð¸ tiÎð±$PˆÝ¸IÑÄN$ ‡8‡µ–…X’#ÉI~gH®´ŠåÖ£y(q¹ÃáÌ7Ãá·< ŽµPKkÄ肺NZê:ãe0^ŒÆâMñlQb]|*+­T±^ð?% jËI›^4iüƆÔhŠ9K̲À¸¡‡u“®©ßœ³Þ÷¥Å‚_M¨µåÛÑïÇ€ Öb4JY D¥k©ƒËFµK’ÿX¢/ÎêÒ8,x!´Å)«m&ùÒ+]´+Ö,*/PT ·îýÖÎYtMꮢ d2[7OÚþà>µwIsU5ÔIÃqé±`sÚqšóì†]¥=¼¤Î”Ñ ¶ZÄN”:jòà9ùG^³ŽUËãËíì$¼µ’¤Ù”ÚÈ€~×F>Ng¹uçÎOIÅŸ%(_ú3!Üùw‘ûKþ•sªˆYÌyw }Ìè¿hVôôž±DªaŸ¡Íu+~$0¡í~…<Ú²ÿ‚½ÎØ?™'¤9ïÿbàgש¦UÖÚo,;1¦׋€É]öNeèU-£¥¦s#WÛŸ“1‡­D-kÓ½_E-tÐs‹•ðt4ø0PP™V„&µÁÖâ|6xóV‰1½$óè$ñâS ð–zWb8x58d³³,ù%بª¶õvý%¯Î?ãérGh$˜ÐYüËžB RÙËù¬¸­‚ÔöÞÈDª‘*Ì^dЉV?2h½Dí¿2H ¯Æ‰©°SUmð+Ügq‡Ø=4¥B:³‘ö˫ЉUœÞAò©M‡ÃŽíÎ3‰ží#™"kN g˜Ðn4ÄíÔf¢²!Ä1PÒö~C÷9ÆI"Óu,µË™±¶Dú˜•öaÓéó3O÷ùÆp>>¨¸4Ëm‰±®N.qõ†êþJROóg×5þŠxNí”Ú(÷9¾/oç…STŠ6Šr&µ|ÆŽiÛzÿ­ñŽÿx<ºî[ÉIû¶OGT^.æ—º{ÄÎ[Y;ÿÅcgœûŽöÝN´Œ“öËôjÝú2O‘³ï`—N,çà»Mý‡QCRßYîìŠÿ8ßï#0èó“øËq\¾ÙÛŽuï3ÀÂîI„º"˱ÉPLÚ5™Ìb¬gC,¦™´{lÑÁÊ°UþáÞÆ& ã%S Õ4ó§|}3åÊ{±È72³f½}oˆ,§»• ÞdÝ*«D¢,±Y-ˆùH­;ÙLÌÿ+i endstream endobj 58 0 obj << /Type /Page /Contents 74 0 R /Resources 73 0 R /MediaBox [0 0 612 792] /Parent 87 0 R /Annots [ 59 0 R 60 0 R 61 0 R 62 0 R 63 0 R 64 0 R 65 0 R 66 0 R 67 0 R 68 0 R 69 0 R 70 0 R 71 0 R 72 0 R ] >> endobj 59 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 455.02 158.233 463.886] /A << /S /GoTo /D (section.1) >> >> endobj 60 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 422.665 297.977 433.464] /A << /S /GoTo /D (section.2) >> >> endobj 61 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [93.148 401.648 224.524 413.508] /A << /S /GoTo /D (subsection.2.1) >> >> endobj 62 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [93.148 381.189 208.275 393.049] /A << /S /GoTo /D (subsection.2.2) >> >> endobj 63 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [93.148 361.288 170.039 372.127] /A << /S /GoTo /D (subsection.2.3) >> >> endobj 64 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [93.148 340.828 322.994 351.668] /A << /S /GoTo /D (subsection.2.4) >> >> endobj 65 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 310.407 322.874 321.206] /A << /S /GoTo /D (section.3) >> >> endobj 66 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [93.148 291.88 158.722 300.597] /A << /S /GoTo /D (subsection.3.1) >> >> endobj 67 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [93.148 271.421 244.121 280.327] /A << /S /GoTo /D (subsection.3.2) >> >> endobj 68 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [93.148 250.962 263.817 259.868] /A << /S /GoTo /D (subsection.3.3) >> >> endobj 69 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [93.148 230.502 168.993 239.409] /A << /S /GoTo /D (subsection.3.4) >> >> endobj 70 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [93.148 208.111 170.039 218.95] /A << /S /GoTo /D (subsection.3.5) >> >> endobj 71 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 177.689 218.297 188.488] /A << /S /GoTo /D (section.4) >> >> endobj 72 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 149.2 193.122 158.066] /A << /S /GoTo /D (section.5) >> >> endobj 75 0 obj << /D [58 0 R /XYZ 78.2 705.06 null] >> endobj 76 0 obj << /D [58 0 R /XYZ 79.2 700.753 null] >> endobj 80 0 obj << /D [58 0 R /XYZ 79.2 476.585 null] >> endobj 73 0 obj << /Font << /F35 77 0 R /F19 78 0 R /F42 79 0 R /F47 81 0 R /F8 82 0 R /F11 83 0 R /F54 84 0 R /F56 85 0 R /F51 86 0 R >> /ProcSet [ /PDF /Text ] >> endobj 96 0 obj << /Length 3545 /Filter /FlateDecode >> stream xÚ­Z[sÛÆ~÷¯à[¨k…½ÈLÛXiQ&iÛyè¤y€Hˆb, AÚq}Ïm ’¬4±œ={ö\¿Å廯™i§¬ föîfVÖÊÌB]¨²Ö³wËÙÏs}v®µñó«3=ßžY=ßÃî;;·Å|yX`kÝÑØ/ï¾½x]ÍjUX1ƒIÊjÔÞÝâ\øëáåPÏ—@Ä”óôàoÓnÏLäa°š/[œ¸ØÉ+×05Ì[yEb-7ï…#!³ÒÝ ÿÞ@W‡ÄVHm»âÞ†yö.cÚèJUÁóÄô%L»¢µà½n#«VÀ~³oà©.`}¯ç .ýþž}" ]8僄ÕÙ¹‡×®öÌJ’K5_‹€Êþ-ña9ÚM»ÄWd×MD)ÒÀX¤o¬r¦šÁ ªÚ{^gõíNÖ³vþ¥ÙÅg פƒ°†øÁMóZn5üƒ+·'©m g(H6ÊÏ–¥Uu¤ü’ÝvÂq<ïpµÕáiI×Õ#ß?éˆì”´ªo¹ãø€ý¾?&›UÛ+–ª1A™~ å³ð^Û7HsÏÌ‚e*”ö‰Ý7SÛQΕq _ =$i»ÂÎ{<¶4>á@wà-KŽÏ–4·Í}™±`“D±f²gDGÚ¦¦~àõaÝ^Ì°Ûs@æÎó»®Y2…a•‰ý—^ÕÇš«Á‰@\¥ŠA hßxe: Y¾ÙÊê¬Ó'BÓ‡Œè¹>¼Öcsh`úÒ?Þâ<_Ë3ò©Hš¢ºdp<ÒîO¹¯­²¾ŠÜ£:¶Ñ4YŠÀiH¦å‚¯ÚýÐO úï¢Ë¤aº:ai ‰¾zÂe¹Ò‹Ër%™™91³ÉÍhíUY†H¼Ácø@Ç@Òj9ì|S[!?Š¶cÏÆ.'’‘ŠöµÑsÕªÔõø¨XwQÇQŒ¶l¿uIû^a Û.%²DŸˆyl síø¥dJØXˆŠk‡ln˜«\*ÖúM"ß&2œÃ¶Y`¾Æ¥Ôn2¯åÐ/™Îg{$Iªb§"¾à ¢ÞÄúæ<©°áù kC™E¤PÆ„ˆžïÄ9çÇžÓâ ËÿÓd8±Haº4ÜÌãUhQë¼èº; D+ðlžvTßKý>fWÛÕDeáfÊMŽ‡J Ï)Kê‡kÇž¥J‰L¿Ïu:x,·™O´ Í-Uù9„¨^¼`„»¶\BR&ýŽô=f¨2©þr3Š9v¬¨Žym†üXÌ‚ÇÄ €o]øGŽÄìÜÑi$‡¾‹&?Jä¹üåæKWè¢ÜóÐ:óð NÚ¤ Žôä¹aäu<¥ÌµÁ!ÂPë i·9 2¾ÎCJw-þ¾Ycõë«LyŽ«uY„OàF}Í‘¯ÖåT­›T­[ ¡wÔçe E(nøz\{âF£CNš=óËQj¤ú²œËp¶ÏcGR ÿ h™§êQ°2œ™ th5Ա܈é9=hª ágµ# Ý‹+ò #]x\¬6‰Õ–.e&Iv”P ìVEç4á`ÄorÞ¾àƒâ –ÚÌbPo¢'ôÙëQ%ê©Öóßö]É Õquz³ë‡wÓºƒ¤SÐU¥tÃ{ €¡dÛŲ1ø\D„ ÑnYÙȾ¡g;`á£}C;î[ "Ûw]Œö Mr˜ý{Õɵ ®žï6Á+ùjP)ŠÏÝý> »–]!þ£f’:µXRR£Û­šÈo¿á¤c¢ÖCÅÁ°< Z&¨tJžÁæH=´ý¥¹?Dä‘ë{xøÄ#Ǹ¾u}Ó'1˯Fü<å°ûz“ÛóK×8" ä ¼x/NŸ@…ëxasxáNŠí´·Ÿ¾F×þõKþ'¶.¯&Å÷:zÚK:ûV‚˜6íüÕÕl‹¡…„O룳€±’7ë ˜KdF+öRúW ݺçþüòi“'ä8¹däžÄL2”×ndhvü˜ù9Ú¢‚hQ²<‘î}RÕŒ«¶úNë%N8-£F&ÁO7’';7@É·⑓ôµ*L5$äÞ¯8uÄ ¨}Ì/R Sh'ÿ ér 5½¶#09¾0QþCR°aìò‹ÑÔrT]ÚŠÉ Œ)gVíãõã =H6+F6Iª,(†€íì8`;›Ki*«:M]j¨äMš g®†ÑíxNºš¥áµÝÄ:eP¶²¬ƒà¿ò¥ gÇ Ž,êžóIOc(¿ÒŒºP^W')| žÝ–¯ñ¼i›¥žŸsžrÅöõ§ˆ’<¾°+Œåt«öTŒS®)€™ÊßP‰s`= )|>½E[6àK®ÑåFHu/Ç嫤T¾Ìó£ò( ¬réN)½/dA¹ébkˆ©Ì^¦»¹c¬úTe<Þùü’Ë ˜Y7¥ŠÚ(]ÿ™ÙzOî›ó[+_û1Žþ#K¥6Ô²/Ù³-hÝôqã9†oxñ2Ò?³ƒeTg'§)ÓŽ¼”îy6Iw§‡äå¦Óòóå[BÞ%”FtƒÁx¿!r1¾ßËÌ]ÌÖä²!·ô¤©wr¯Q—óbþŠQôÜ`ê½\Æ;6A¿Œƒ&mxÖ¾“_áÞ<¤LkÇ=èt\zeˤ|·âíš ÁÄ¥¿"bŠ ái!·©´Wî m²ËpÍÌD¦îùI;H; ä °?Ý9ÀóãŸJДäxü5‚t{1Ú²Ruqt ßS¬wrÝnl5ÿ.^×[>$@_)3Èï:9[–O'Óõ¥hK”ÙWò{.rßÉد"û8ÿ 9këUiõHÐœhAö÷h†_°žãfn¢&§q}¸ík9õ5…T༧äo']ñTx(*åá1sýötgAUÖâCºÅN‘þáš¾.Bád_E,´†`lNþü1ᙆóà~À»×c<ôø^’\ƒL¥AN«Y º²LÌ„«?|ýxµÍ— ^]¢>œ\I T$¦çEžüUÔV¹á^ ¿oD`¸£xÆ÷:Á+£C~Uô :Ræ—"òGC%<»Í>I$Уß@E# jüõ”0• ð 6¤œÕ1ƒá/èþ…š¯É&²¥§gª±áùž¼ö}Á’ù[yè;ú|b!ÍeCùÖ€cHõýÔ7x¯0Øxùz%…TŽC-%4ż¥ %º6J/_2ø‘.îã'GÎ@φƈ{±©kÈä«'€°à"ÂQ™}ŠØð«>ClBY!6n ¼8ORÁÅ"x·™xq›˜ÄPl—‘”Î51@n…u\îY„½YÇÖáÏ-–ñNm„ÆD7Ð7n AÏÑä1 YäÑÒ÷ª³þýà‰’‘YKkÐ ¹©1´{|ñw/~{1¥˜iþ˜T‡^ÄÏ›?ÿRÌ–0òí 4²®fiÞf¦+0úÑ»ÙÛ?¾¸ÄïRÆÛVüòˆ«S¨$kUVnT–Š̺,4å¢Jcv©*-WÜ"³ûû/ñBï‚n:›-ÆÅÔ.Á€ÅQàäh¯(X®.0TtØsÁ_?h›ýÅŠ¹çÁ’Ñ.7$E…²ÛoÄŽ˜>gn‚ ¥Õ2Ï`ùš½ ”@‚&qyel‚Ë äòâ³ø°òaþÖ¿’„ Uâ5w• •ä¢y‹ endstream endobj 95 0 obj << /Type /Page /Contents 96 0 R /Resources 94 0 R /MediaBox [0 0 612 792] /Parent 87 0 R /Annots [ 88 0 R 90 0 R 92 0 R 89 0 R 91 0 R 93 0 R ] >> endobj 88 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [344.967 356.535 351.426 368.567] /A << /S /GoTo /D (Hfootnote.1) >> >> endobj 90 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [296.222 344.58 302.681 356.611] /A << /S /GoTo /D (Hfootnote.2) >> >> endobj 92 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [480.75 287.697 487.209 300.287] /A << /S /GoTo /D (Hfootnote.3) >> >> endobj 89 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [93.44 153.135 308.031 164.611] /Subtype/Link/A<> >> endobj 91 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [93.44 143.652 230.858 155.128] /Subtype/Link/A<> >> endobj 93 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [93.44 134.168 197.001 145.644] /Subtype/Link/A<> >> endobj 97 0 obj << /D [95 0 R /XYZ 78.2 705.06 null] >> endobj 2 0 obj << /D [95 0 R /XYZ 79.2 700.753 null] >> endobj 6 0 obj << /D [95 0 R /XYZ 79.2 241.843 null] >> endobj 102 0 obj << /D [95 0 R /XYZ 94.436 166.435 null] >> endobj 104 0 obj << /D [95 0 R /XYZ 94.436 156.952 null] >> endobj 105 0 obj << /D [95 0 R /XYZ 94.436 147.468 null] >> endobj 94 0 obj << /Font << /F42 79 0 R /F8 82 0 R /F54 84 0 R /F65 98 0 R /F56 85 0 R /F59 99 0 R /F11 83 0 R /F7 100 0 R /F21 101 0 R /F70 103 0 R >> /ProcSet [ /PDF /Text ] >> endobj 110 0 obj << /Length 3409 /Filter /FlateDecode >> stream xÚåZYsÜÆ~÷¯`éÅØ*-„90'U”:NE.—DU.çÚ—,q»¦˜_Ÿ¾æÀ.(“–JUÈÌÑÓÓÇ×=óòò‹VŸ)•7e©Ï.¯Îª&×g®)òªQg—˳d:Ÿ©LÍæJé2{ÛAå_ðwè6‹n67U™-[¨ïá¯åúEY@mÕÿ-vÝq»‚jöÏË?½¸¨Ïš¼qÚáŠÅÙ\»¼®K^îÑoð‡.?ë™®2löÜð~㲎+3 /;{9«mvŽm5С,ô¿E’‡|6·Æf›Õ&ƒÙiпtËÑ28蛹ºãEz® øv… ü[H?Üþ5²@ˆ»Ÿé:¬s‡¤·lÚÇî[Yá@Ü£ò 7ã ;fXiŽ™ZçµÆÃöm?+u¶¢Î<•1@x Ô, á’µŠS¥¼wEÞ¨ÊÏD<*³K\š:ŸÍ­5yUVgsî‡o×rúÛ+üµY‹Á6¯¹yOÕñáA^•ÉWž¢LöLÕ«-JК©V*![UEn Eèþz‚GU^ÙÐaGBî ]'fÔ&/]èÿ;è95©*s[kß‹¤'F‰Ø´ëÈâÑÔÆåª(5µJ§>0¹n’\ ú™Ìyr°p\¶ª}‡;âjÿT¾x<3Ÿ²mûhQô‡I1ðKŒ¤mtãlnêŠfbuBe4THæB¦Ð:(™VTDÔ¨çrbµÊ]cE9;å h¤ 'Û¢ªM¦à̬~Ò™}žò.Q`¬Þ³MöŒ@ØNg^‰‘ÁÊa«Â_ØÑ`Ùûk,³=XÝÈ­°Õ0Êà­M òÄ°¹´v4šðŽ ²P‘—X aŸ_sË“ˆ$Oˆ½ƒÙ;vDZåEibìä…è;•`U¢˜Híf»ŸRG°«•=ó“‚iT, â¡çx˜ƒì,ñü¸7–Œ¹ØòÈSǾ—¤˜gË*K‚ª{«]²T¬w$QtŒ€_PèëŠmr‹ªû«Õ©˜æ›N Z=©L§kXY?b€mZ•G!î+õƒa÷¨¾¼ê•‘jßôÜs…Ü\™†ñTŽJð‹8ʇ£l…”)ô%àbó÷ŒbsR›†J†öSˆWFuÒLv"¼†hâõv“ÀnhªŠ—ðûî4¾}- ©töÝvßñç‘“ 4 „;öQlZ¿<ÛJ^P³ôŽÉˆô²V¨œ²UDÙF ”»bàúv!á]eÆéL9¥ G¦*òºÐÿ¿áÈõRÞ}"\ \Åü¡èñWà”)ç²áz>@‹˜*El A¶«’ ÛUÇ›ÚAN¬p¹+ÇD“°Ç¡©1l:%¹¢Sƒ1Ž®¢Z‚‰ÜR´„rÒ{$b§Q» •˜Æ)ÉÞTxÍã„ìÖ€e*Öþ¸ö‰}ðXæ*"Š¾,ó2ºqìt  óÈTQW¼ÑIª€© U Àq?ßK?Ë°ï=-« µ`\°N(Eœ×e“°J˜±•sadJeT’k:´/%m>¤ËQ&ÉzÎw@[*-_1YUJ@3ÀF5žZ 6>S5/µ¡Q7¢}b…%U„6-ì?9˜>9”•´û;Šc!+]ÉI»`Ó×Pœsq5ýx äâÈ@×3©z¯µLô¿•ïÏyög¢úØ]e Žã§dØNšÂ]€ì§ù­tEî¼MÚ7G‰‡gãÌOK}Ø÷;Ô„f•„Á`À™ë©°‘cî•R…&ÍÀ_ üYž||Ù;1.7U™Ütiºé²ÙkÚÌ!|ÅÕú»ä~Ë_néÑ>q¿uésŠÙÛÒª€5¼µSIS)¥©Ó's€J¸ÜK_ x°@aÛŠ@Ò Ïš˜sk\öQYêÒÃ`+8=[*JkK–ɃEÐñ¥Ç™K±0†ÒöÐeA{½ÁôeÃ_îddÓ1!hŸÜ»©$Ý {jooŸj1› ]B ‡¼ìáŠó`¢ªlÝ¢'7Üãªì\¼É«2™lWJ`µ'*™úa$Õ¨ÜÅÔÂÄ…žS½ÐS¹jTz¡ì²L߯˸;:SýODLý¹ÌM©óZ¹£ã飳$„Òû"ƒ/)à†ƒ ––mïíå’¿GÿnØ4­H Ø³K~šÄS”M Ú-Ý ŒüÄZ§Ì¢R įãD&ˆÙd2jجkæÚ­ìiÕî$AžÎCh!gL‚ç8ö›óïÉèRËÚ³—L­.³ßLllÎôÎüêò—ÝŸ¶`»¾£¿ˆ`Á%s€7N-‡™¿BƒßîÑ»ýòçnÚýœMëÆŒµpߺÑ,ŸrÉö!´­r…éEöâd_×ð(>„¹…Kî {x±ÆáîBùMB»r!W,iÏ݆-çî8ÓXƒÂua±¯ˆæÊU#–Ó¯ù÷¿$fº±‰˜EvÛ v›»S^ûïw žÑ]LažpÙ&\6!ÅŠí„6%S@ŠÔúfì´èþt‘ÚË®çÃ!Ôâ ú¸‚ƒô¶Ú9«r?åÓŽ@3"éf)éJx‡âQ,¼ä¾áNrÇÅÆ0Gx¹ÒúË͈â•öë&R È—í„ã+>¨æ‰ÁW$o.ÆšÎBÇA‰™›éxuZ'··µ‹‰á¯7šÐ˜H3Ô¤‰£:Iób%܉jÌ®©`®Ÿqͯ÷Ý«—ßÆïíj'Ù’²:yITÖ Ý‹ìy$Ç‹µJîÒj”f)¤¡ ·Dy“µcK>ƒØnâjTìQŒ)zþ8˜óóSÊžZTN_âhN§mC €Ô&I²=~« ë‹wxþVÞ’Ï£Í Øf³j Q(Ÿ¤Âú>YèH~à¯$¬«.× †µ|Eµ‰½®e>¥H'toA&ª{~úêÄUÉ''(É9~ãT“NºjÄYø8~ãä\òÆÉ9™¢:^ÆÓ8ñ$CaZ¿ü¥ßžè§?Dú_}ã4Ú>j¥uÙŸoØqÖcKª*aüÔ³ W<»pÁ3îµE®ï½c¨Áz©çSìgšŸ:ÊÏäùÔ›2¦ùF≔ñÔõHú±¤+ä¼Oûð]Æè%$6‹ŒO%Ó›Ždîkþ|°2žd}ôD·Žñj¼ä ²Ob³û­š¼®ŽÞ¿Æ$‹ŠÅTgò2pWÙ§ãfàžážžù¡²£wr˜X ˆ`ÞæKð‰ß,ãú[^Kú6Õ…;éŠ8³½½µƒž0¼¢fh¥ìho;FL1 §i§´'j´:²²J\ ࢛‘‹vǶa¤ WŽØ q^bnŒki¸¿Á/_üáò‹ÿ(/åN endstream endobj 109 0 obj << /Type /Page /Contents 110 0 R /Resources 108 0 R /MediaBox [0 0 612 792] /Parent 87 0 R /Annots [ 106 0 R 107 0 R ] >> endobj 106 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [82.07 592.139 407.728 603.999] /Subtype/Link/A<> >> endobj 107 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [82.07 508.453 386.846 520.313] /Subtype/Link/A<> >> endobj 111 0 obj << /D [109 0 R /XYZ 78.2 705.06 null] >> endobj 10 0 obj << /D [109 0 R /XYZ 79.2 700.753 null] >> endobj 14 0 obj << /D [109 0 R /XYZ 79.2 370.886 null] >> endobj 108 0 obj << /Font << /F42 79 0 R /F8 82 0 R /F54 84 0 R /F11 83 0 R /F56 85 0 R /F65 98 0 R /F78 112 0 R /F59 99 0 R >> /ProcSet [ /PDF /Text ] >> endobj 119 0 obj << /Length 2451 /Filter /FlateDecode >> stream xÚÝY[oãÆ~÷¯Ò¥ŠÕ˜sáܼA¶HЭ×yh²AAK´lDµ¢ï6>ç6äP¦½¶Ó¢@dÏ ‡gÎõ;ç ß\žœž“R•ÞøÉåõ¤tJ;7ñeªòRO.“ï“N ›4‡éÌZ“,šÍT'¿ƒßl‚Ó ÞPm¦&O>ñä}ª<[Õ<½nv<ØÃâ ½H4ξñ¯«&?¯UÓ.ÿ6I'3“*—•ÌÍù´p ÑIódˆ¤ErÃox¸†aÕW°¢ ðc –ÞÚtüÂä¢ÞNgÆ'uµ'ü&ì®wxüéyæ#ýèÒªÔ`Š˜Q°½ßôAÛcm«Ê,ìíuA¢ÍœÍ’¯oIV<9¿F‚A8TRÍã3TêWgoa鯬E@ø‘Œ6¹£ÀÃ9Š±a’W,OšM¯°ÀP¿"š ÁAëV«ÒúÉLÃÐI1GFPë;ätÝ´Í:ØÑ0çŽæi‹áËU¿ç †¸¾ì=$zŠŒ7äA(}Ðÿåˆï°Œ‘ñœÜ­(>ÄV$–ˆ‚hWƒòöBµÙˆkÅ#û«ŽŽš#Á› 8ý«Û~g³¬»pS群¿Œõ÷W8Ï9ÝÇ|öšß£•9 Pƒa/{QÕš& ïk^$ÁÅ2´i§k|„>Úîy¡Â‡mÓ+QMÉYÄëŒý[ëÈÁmš)gòà┈qÑ–\åN‡ ÛÝ43Ä.røq„"„Læ»ý‚cD5[tQHºBÂÐÈ;ä³^éÔ=ŸôÙõ£ìÀɈæ=ˆQŸç)D0Û¢ÌY§À¹†^2§¨Z×ô¸=…9cµ%g‡ €­Ú1d= Xé@ƒ_fË7¸í' vYíT I`v]ZÆqátš\ÂðâœEðÞ D;èÅÇ?hÿÏ/1·T›.¯yi, [~tð`QÝÇgãJÐfãó•$¨Å>;>Ð>.«Û C,Ê"‹¼ˆÅq±¨±ø Ê8íðfE¥ÍL·(•qvè Ô ”lÀX¾ÔvèâÝ—Œ±KÇ(B&„Aˆ+7ý+=4Ör`PÍ’g©˜Ü— !K×üC¾À<ÂÊÐÁ•‘<:öa$rÎ*›Ù ‘èÞeZ¥ÊÝ?„R:UF›ÿS”zŸfšÒ€¿MÞUë¾PûOâ,œ½}.ÍJ£Š\30I=‚Šú|uœÆ¡ü ˜áºdY…2¢]Ë)›®ÐßF ÓÍDPöÒÀZJƒjü$óP¼ wWWQ‰… sÍ?uœ>ÀJMîÎGï8„ÉxP‚²Ÿ4ß, 68ÍkÆ øÙ)ø³qÉ–9y–Ô‘'$º]õ»–Û^…DÀ_¨”ÖŒMY<¼¡Êd½ã¹`É}Oõ9rì¨Í°;ƒ*‡CÎt®öŽ¤"$ ñÓTe¦sÔ`l:¿3½ä³A•¢¬é‚å ¦Ã%°aµ£ž.$±H»Ÿðé¥8èäÛ/)êäKŠ ÷»ûÇ8ê”ú%¤ç`ôC-ä] © pTx´q}x„"Ö<3¼…Œpe×ÅÞAÂ*½mPWÛF\ßÝŠ&oÆ"ãC—Ù04¯%è$4¯…e‰\⾎†Ÿ3Øï4’NþÀ$©i¸”ÈÚÈŽ[Îkøè·B䈕 -×›#ùUc žX­¼$½šÏ¦Wÿ$”ÕÎçqñ h’kËýÖ*ºTz µ"ªØñÜŠêÿ—¨¼Sý(ÿ‰›ÂÀ°í¸C˘¥TmqÎœYhAÞkë–Ôb|! ]_ ïQ»B ?|Ø…ß=m Þ²:F÷ÃyJ¬<í.z©”Å{‡Œú Ñ*ÛAQf‹'fq%—QWÈF;¸Âr÷ŸÏã¦/ÉÉã°Ñûøò ûÁKTÓ­ôP}d%d¢žªG ihb| 9—®~¨”ú64jèM§_ßR«y ùÈuOZP%éqONy_–ôÙ{4÷± |£8f =± 3Çô #nÄÏV܉*W2¯äÆÃ\ ­–ù!Z›ËZ-ûLþ7ü/P[†›^®8fpø…œµ‰0ë“Àeø:ÑRôÄÒ¾îE–ð¿~Ö[¡‚äT°€Ý†ç‹hO%·nU'óÈEøö¨Û†O(Ç×"{ÍwoÇÕܯ¤Õ’ù° #¯åË@Í‘,µÁìÕ"*d‡Õ›Ô¶üQ¢£AÙ‰>{pÂ%L{z ì¿8ß¾\—ÿí|;RxçÏ*¼/ðs`fB"ìÊê8Ü×hž*ííc}åß»/~Ïê-QŠþ¢‡Îì±:1‹ëÄl處[‰ñÞ2Se™?·N,ÈJÄIW(â½Mpˆ]5—Q½àì ^ ’•Æ·€<Õ‘ŸßÓ=Ù4'¾<ùp‚É-èI^*3Ñ+ëÉ|}òýéd‹”-‹Ém[CÉ¡ºE®&ïNþqò?Ÿ=Mç9×z©2…‡úÍ÷ŸN$³æ)$é2O5åíö Ô¤EÔät¿}pzzCY¥a L² Bòê0§¤¡h¾Ë† ›ÚÇ·åÙS¾ž:åOßáßm{Êœ 8ž1+^ù\ª‹ÿ ¿”G¸~âï§#Ÿm@»&wxg¯Lé#-£UO¡ð endstream endobj 118 0 obj << /Type /Page /Contents 119 0 R /Resources 117 0 R /MediaBox [0 0 612 792] /Parent 87 0 R /Annots [ 113 0 R 115 0 R 114 0 R 116 0 R ] >> endobj 113 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [506.935 452.823 513.394 465.134] /A << /S /GoTo /D (Hfootnote.4) >> >> endobj 115 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [224.116 299.119 230.575 311.709] /A << /S /GoTo /D (Hfootnote.5) >> >> endobj 114 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [93.44 109.81 323.962 121.286] /Subtype/Link/A<> >> endobj 116 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [93.44 100.326 328.194 111.803] /Subtype/Link/A<> >> endobj 120 0 obj << /D [118 0 R /XYZ 78.2 705.06 null] >> endobj 18 0 obj << /D [118 0 R /XYZ 79.2 553.782 null] >> endobj 121 0 obj << /D [118 0 R /XYZ 94.436 123.11 null] >> endobj 122 0 obj << /D [118 0 R /XYZ 94.436 113.627 null] >> endobj 117 0 obj << /Font << /F8 82 0 R /F56 85 0 R /F11 83 0 R /F54 84 0 R /F42 79 0 R /F65 98 0 R /F59 99 0 R /F47 81 0 R /F7 100 0 R /F21 101 0 R /F70 103 0 R >> /ProcSet [ /PDF /Text ] >> endobj 125 0 obj << /Length 3281 /Filter /FlateDecode >> stream xÚ½ZKsÛF¾ëWð*˜7ÚÊ–íªœƒ“µµ—MRµ0 Q܈MR¶•ýóÛÝÓóÒrY»JÌ»§ûë¯{ðâúâÙ•v“º¨­´“뛉¦PÒLl]®“ëÅä×é.¿þéÙU•·ƒêI髯ß\]Δ0Óõ¥˜6û?àïþûË™Vzú[)ô”[?‚±ÙN& 1‡6·ðÛÁ¯ƒŽtÍåøð;àèüËKøýy¼²JÚÈ0ðÇKé`M~} ^|Üࢺ_´ _‰Ó캵/x=-íô/ßBá%oBçrк:N÷š­xmÿćíþx…JÚV¡ ÎÛÝÑJv~òf^Uû‰wŽ»næZÖ¨“™R C+'3!ŠÚÞòŠ»à¾|¤ƒN®¨•ò’pgF*«˜~"ÙSñ+äã(qú™Pe¡ày¦«"Ì/±‹¾„HCCß²Ê8“÷5UQ‚üYtá͉¼ h¦­¢t÷$0SMßÓA\üx}ñþB@m9^N¦ª'VÈ¢r2__üú{9Y@åO“²Ð®š|¤¦ë‰.\…§|7y{ñ÷‹h7ƒi-”4–q*;»45–°XQqd[ ¥‹JôØÔÀ.a¹¡ z³JÒ„ÏJ(ZïºÁU’ÑKHÖH¨z ©R„þOòV…–ÒîÂÖúV8“@Z(x°EU±ñ\]Vša {´À‚D(©à¹ÙãÊï× ð&\sð]°gwo¾ß‡¬ïi‚n¿•¦„âë €è醕 ÙUšGÄe,L\ÑÞ¿]¥Ç'òPˆ²ÿoÙ]Îp½ô——²"éá–`Qþ‡ï+ŸO#DÕ. âSÙ¦–¥€û€i°#ʧ¹ÃÕ=@o ¢oy›ÍšD¯°ž,ôAX€–Ö6·y’¯F(kÊ©¾YK/üÅj7²'©sùþ0J1êJžp“ ò›Ž–ä–î·Þ'ê²,JÛ× ÊF‹k†¥i¾õ¥$O$Ê“gn}@HÏÁ!³¬·•ÍrÌ8N¸5YU —Ö?ÐÚ"w¿ó/³(Æ¿8íÝ„-¬5OæÝ$° ¤®⯢QÐXÛÁ¡t]=¡wƒ[èq%+¼åŸô²k™9Äò6å§Åp¤Ò|6 ûyGV]|Õs~ÒÖ_EˆQ©0bÃ%µlŸ6*Y§?Ä vRM_‘¿©§‡lqX^ñÿ܆lIXÕì£;ÈÆÆ·Á%»ú@yÓ†`šGîü¨ëäH5ò™×¾LG/ï·þ?ŸÝ½÷œÇð,¹7–s’^3=~ Ïà÷-£üGU¬*Fœ ð¹ÒöÔi—ma9AæÕ7¡*Z×?,"«ë Ÿ™P’#m%{G´‡[oØòÁ78G1 C–‚qVu´»¼€š» Ÿã´©¶®’»c‹© 0em}†Q–À.+…»/4ǤŠ“‹¿xëˆlØŽÈkݲCŸôvIêÖ­3××D @í©óüR!Õ´’œõràBI ¡0È÷³VǨ.%ŒB]¼ÒŸIs@Ú$Zb@íÇc¹”ý Öõ©ð `S$%JûD]‰[Ñ/¢‹‡Øz‹ÁRêf™šE˜¦?œ«ìµ‰06ÍŸ®¬Ý8Eëµ2­ÄÔ„mt¨Éý9ÖoøÇ`€w>ù5ìXC%¦ú10s˜ 0’^VÞdä ËcHã/,ÀåáWV¦–ÇŒÿG÷h Úfçm,î|ÉVz.t®eQ‹I‡†ü[X¬¡×WÜŒÏÒšRzϸJ¹Wš‚|üoîöìK`Èpã¶Xÿ¨éý>^*ÕÌÃ&G½Em «b4€›ù‘•ë%üÞÀï+Ð5?#.¼‹곧ü2i ݧÂÍi gYÄos_óæxˆÈ o)ìsÔÍ5˼¾Ö*=LöªîX¾œ€ã…µÁ°ëð ”>”f½lÐÖGD1"qçH9 e±wÌФG”ÎO¥ì ´QþÑ“šÍ’Î}ÕúëN² ¡]‰7[²Š~G @êzúöàÕÓOÐì#Ê`L!¥y]°`ÃÐЋšÃz-aþKëÆ_9Ñó<%íQ©KCkýóºÙÄ0‘ôpvô ë8/‹/ð[××Ñ>@W*诱UùJä²QCr´Âû.æJb%í趫,?ÈÀÜct©ªuý4§ïr¦4ŠçÜ…Ö…)幋/ðJ8JOÎÆ&^“™¼î6H“÷ÉZHǬźq}yuÞZ” ·Òœ/rÁ„JÀ"˜2áÔ¦Ÿ5y~ÒïxN›˜×òòóŸTšˆÃð:•3›Í"Þ‰Št1ìsz°Ø[è~Ç©‘_7o¸~ †ÿùc¼ðUÃ]jð܈$eÃKêfDJïÛ£$–á»63¸k3§Z§„7#Ÿ½[èp/yeÝÇQ˜h   ÐOy’¢²…xý«´¯2áîê¿J†* endstream endobj 124 0 obj << /Type /Page /Contents 125 0 R /Resources 123 0 R /MediaBox [0 0 612 792] /Parent 87 0 R >> endobj 126 0 obj << /D [124 0 R /XYZ 78.2 705.06 null] >> endobj 22 0 obj << /D [124 0 R /XYZ 79.2 635.025 null] >> endobj 26 0 obj << /D [124 0 R /XYZ 79.2 452.104 null] >> endobj 30 0 obj << /D [124 0 R /XYZ 79.2 415.522 null] >> endobj 128 0 obj << /D [124 0 R /XYZ 79.2 310.177 null] >> endobj 129 0 obj << /D [124 0 R /XYZ 79.2 278.296 null] >> endobj 130 0 obj << /D [124 0 R /XYZ 79.2 209.992 null] >> endobj 123 0 obj << /Font << /F47 81 0 R /F8 82 0 R /F56 85 0 R /F54 84 0 R /F42 79 0 R /F75 127 0 R /F51 86 0 R /F11 83 0 R /F65 98 0 R >> /ProcSet [ /PDF /Text ] >> endobj 139 0 obj << /Length 3843 /Filter /FlateDecode >> stream xÚÍÙrÅö=_¡*®\…ÚÓ=Ó=3¼áàÜ‚ '<E%Ù±–«‘0ù{ÎÖËH#Y¹U<8êéõôÙ—ÎÅõ‹óW…h­jkÍàúvPÖÊ \©²ÖƒëÉà—a®ÎôÐœ´6vøv ü-&øïzröÛõw篪<Ý£ªTií ãõßÀ¼Ë·ðÏË7ðÏ·ð÷ã56~€®xùFeeé—ÿšébús'-O¶õ Vµ3çŽtaUU¹ÁÈ•;'kŒÎd²K&cKû}”‹Œáïào*7JÖåNÙ"÷ ¿:¹Ê ¯šùôlTØ|¸Yâo1¼›Áò?ÏL5œrâŠÆ,5ïãî¶H¶×™S™ øÚ4ë3k +G…«‡«3»ï`QÆ~3u6ª²rxÍgTãåa@K:` „Á‡1š´…v‹£þ¾Å±u¼V²ßªã~ÎàšÍ®iyàš[ÜôA®A}0õãî>p `V¨ª4@Rb†ÿbÆ8ÇÞ7Ó† QžÈŠ<€øaop(§KµÜD:áï¶eàqå19ŸÊŒy3‰CË[î,âÍz·#ô¬<·Áîé„ûýqQÃ]“%NZ…ƃqZ& jž;“}D×#¥Á>Ò‰û̜ו²e`ç ˜ö6°°¦‹-áoÞÏ%…V¥Ë#—Š"S‰PÀy9!pVàuƒ?+²>’pÊ} ÒÿÖxþŸ³€æ"œ²hæ‚_+øí²u#fîšnÎÇüšÙì‘›ÅeS?m_ØT¸œ÷-s@7h&-䶉QÁzäöKBUÖåÒG–¥Q^™áj+”…6ñèÝ4@²ŽÝ÷2Õ⬫þ´f“¬!zÖ"¶ZYय™à š[dÞIÑ”D…zÇM+‘t?<ËÀœG¯h§„£wΟ’"ñªc-½$¨dÂú>¸z°¸s>BiBé‰h‹îT8¸R9úM"kÒÊ̇w+*m¬T2l© c£õ±šE×ê]Ñxrþ |Tv¹®ôú…?˜­\ºe`wÏ™Mª‰qÂã=+6l¯ÖEʬI®½£ï¦„>Ü‘ Mé*08û†·êånÑ-/÷±e2°¾f[¹+SÍá©QWT¹ª/|®…Fø³&lÒn„„Ä6wÜIzß•lº¶¤å q î˜o\)lƒ]Dé0Wv)­€~™½Œ “}ˆl‚s`[vH<Óýˆ\¹oüÔ§Ì $ ­•vÁoZ‹ûDÓV9·O´ïª*À¨ Ë<÷ºzmÄø÷ ã”ÎLâSEܲÖé‚o’SÎO2ÍcdpBœ8!dm‹áå1–×y­Ê¢HµF#Gn‚†Y“Ÿ¨Lhê­|>ÐuõeªvÅŒFü1káË™,^ðp¤¯fî£ØfÊV¿KßÈW¥PØžNáo¸Vîï%t%¨‹À>¡`¿ìcdecøðþ žðÓíìü„¯…Pž›˜¾û»j•sò®ß Í„>›ïiÿ)Üö¬8+¯ÞóœÕž½:¾ž}@Åxe$mÃ?+¯ŽÉ‘[ ãdÈÛâWQ7$Žb©qV³–9Vä¶7ì²p[wUžxC>Þ°c·t¸¸ÆVÞ±Áf³`ž­*SuÙa×Ë ^z"Qø»–vV]­Z×6F½B £«á¤á¼—‚PênÅy36ÛŠëZÙ®%ŠT¥Ðönô ãÁt@Ëê¬VyˆßJd=  µª‡ò¾4@Aøûg/í±È:àA;®Ã6ü—yWç“/¹µ»jU…ƒæLÜ-ÄC4±8 )‚ŠzoìRæ©iE¸¯'ázª/å6Ò%˜—Lƒ´€CPIæ/—Ìß•·»£ö” '³ìú ÏOV§&avjîÙI@ïÒÝùy $'퉬IÓš0.1BLLÀ sEB#§ìf%ÄÑ?©ig‰!?—ÛºwOLàå)Bž9`¹Op [q§Éì0Wï;0¶ŽX/t‚eø ,YÄ2´Û‡†ãp jhpN^j`‹u5«îѬ-Ï#LyÍtøè7Iv¸î*å/9%²õ&Ø»J2—¸v,»Þú¤æœwkøçÝËŠ“´"j„¤¦‰ãî_'vÜ,ž2&ÝN©;ÁƒÛÊË~ÖeË\Ù:ø°oÅ¿ºŸëÛàƒíS¸»Xc¼|Öœ/Nקpx®Ã¯½oº©—wd½ä–-Cúбž“ŠXÌ[/ojðDb(MŠñ&ñÅRŸÅ`z»L}–²GÀ§å:>KÜšÈ}B`å:¦%{ú.¯‹èšJä½î&¤¼Û+ Ïy7ÜçIšþén¯‚OÅð5§†èïÙ\ R@%öIq8ù–âç­è“ÀIäC¢¿¶¯€Å;škNþU“î“ÌNR*É{,éÑ<õÇ$l.]ØÃ!àŸ¡+òO«…ÇŒ§•Á©Ï6žÇÅXOÌý y“ ô¶)1·YÄ<‘‹ç¡¤'b®‡#ÚÛ—Í`n’÷ A”“’Š³Ý¤¯Æ 3ìy½ÃH¸pµËEÈÂyl‡aÒÀ-0\p_çh äÊöëcŸÂ%U+ü@öyŠwj:Í~>Öh+tU .Áºn Ö*ÁÂ@tU|%9)ÁºXDÃöGæ;¥ÖÔ[¡£Xãlë¬ØŸz+ »á¢M­¬®>£»BQøçqWz2°ïÅcy#ÝG²Dè‘»|'KîSY=y–Leù¿È…ч’Æ–B×g{¡Â#¿Ñú°Êš$LÿËWØTM;ü³Ç'•:%p÷¼Sa!‰NQÈ(à—TuRÒÔšKåËð²ÕºSpQgUu”LÚÌ+·J÷‹%t#ìVÝÑ•±± :äK­»ï"luð]fUChiTþñÂJw [}Éú4”¸|¹³Úãt[öF“¸Âç»luT:ó¬VEÞ)Í (¾–߯E$/YR¿‘®kêÚ秌6‡¤SR ùÑh¦b6"‘LN~ ‚]—,ÿ7qÕVåµ{†¼b].÷|7ã)y]HßüTyÕ=ܧåÞ°s+½1”wu(óFq™È,J §ußø°Á 5}9)8Z[ÔÕðÆ+‚Ýù± ÝñMl–Èùîܺ¿ÙÚÝ·Q¹K”€ë*ø¼ØK#qg€¤œ¤HÐçœNÝ™}A¯öÝé´êCÛ“r)̓"^eª(ªEüJº¾ïñ‘ß­“­ý'†Øü q¬5õ vm)Üý¤äÛR¼»uREü=é{xªF‰‰8 {HÔåpå_`hªÞħ4úîÍklTü¤eê“öõµ‹¯;ËR?‘%îàô@nŠãéCÉJÙ-¼ñ ,<©Q¥ƒ:vÄ»úbÜfŒelÈcþæä` ¼›»O äñü5ô& þÆIÀ8¥g†Oä~{rÜKÀ°ó)ÛFÝ7‰‚zvo£NêYÜ·ünÓtßÌP6¼óöOqàñ!0a2«g “ZQ $ÃÞ6þMÓ>Œäú]SþÌ*UEæyMÿ¢ŠfÀ7‰gÕlx˜Rã͘ êÜsïÿA¶ì…¤…©Ç«ÂoOìp»Hƒöv,ÅO΄£(ìp²´OÂJçnlƒë»"WQáÅ f:*šÌôEVù’U‘ÕG]±<ª„ž×Ò¦”×ÒO>•vÊŇær!<;V@=$KÎs´c?=öðÒ‰8ÆóOˆ©a2iB1¢í,úðÄÏ82) fê˜ÉUe³øÖ‡&þõ(«áøì„Cp]ª¬Ø Áƒr¢·sµe= y•Úq™õ†ß‹úxäâ‹ÚÑáà~ÖUç¡2+ ¯Â+[ÑMäÍè&ž•ŽåîxDeimT–…è[ôw$6-3üàíHëY"Ðiæ¾pÊæŽ2÷´UÞT„£dRêâb4èS“ЙR¿ÿR¸ŒRY žtÖÕr‰˜g ¤êüpm?<Ô °¨Íª›3Åâ×" ŠwÞ2ð”ä!qGaãb:ªŠž_ô&¾J.ù˜ÿÄ7ÎQÁm`ùðèØ ¿ïÀ»OÐ`:/àwÝ°}å\«2–‰–7ÝLVz`€?%‘€^R¸LÕ°ß^D./DBÞ4ºŸ™±Üó4 WU W÷5=>MÃi¥­î<|qyýâ/°/hþï>º(•)ëÁxþâ—ß²ÁF¾€–­«Á#Í›tU*]£®|¼}ñÓ‹ üŸCF@´ËÒrLå`¯L96ÓG9e6(a^¦¹Â…iC7¤I÷T·^}ÿžŸÉœ/°´°ëˆkÐüþ1%õ Èß#>—ØsÎ~æ–¬U{Ž1.ãJÅ_zŒC̾ÀüÀý”wMßTÉK„+Y þÉìApÙ¹áˆAG£¡;¼÷Ë{î—[Š´Ùb5%Ãpþ #œŸÎ±LóõO!Ç|Sû…d (Ÿê“@¬ž "»rcªHµš°îqÏ®/suÞióÚtªøqHÌûͼ' 0Úã0\žœçÒ¿1¡Ê³ endstream endobj 138 0 obj << /Type /Page /Contents 139 0 R /Resources 137 0 R /MediaBox [0 0 612 792] /Parent 87 0 R /Annots [ 131 0 R 133 0 R 135 0 R 132 0 R 134 0 R 136 0 R ] >> endobj 131 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [200.199 530.004 206.657 542.036] /A << /S /GoTo /D (Hfootnote.6) >> >> endobj 133 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [530.373 415.473 536.832 427.504] /A << /S /GoTo /D (Hfootnote.7) >> >> endobj 135 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [403.492 176.369 409.95 188.401] /A << /S /GoTo /D (Hfootnote.8) >> >> endobj 132 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [93.44 134.009 393.668 145.485] /Subtype/Link/A<> >> endobj 134 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [93.44 124.525 294.338 136.002] /Subtype/Link/A<> >> endobj 136 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [93.44 115.042 323.962 126.518] /Subtype/Link/A<> >> endobj 140 0 obj << /D [138 0 R /XYZ 78.2 705.06 null] >> endobj 34 0 obj << /D [138 0 R /XYZ 79.2 700.753 null] >> endobj 38 0 obj << /D [138 0 R /XYZ 79.2 493.167 null] >> endobj 142 0 obj << /D [138 0 R /XYZ 94.436 147.309 null] >> endobj 143 0 obj << /D [138 0 R /XYZ 94.436 137.826 null] >> endobj 144 0 obj << /D [138 0 R /XYZ 94.436 128.342 null] >> endobj 137 0 obj << /Font << /F42 79 0 R /F83 141 0 R /F59 99 0 R /F56 85 0 R /F8 82 0 R /F54 84 0 R /F7 100 0 R /F21 101 0 R /F70 103 0 R >> /ProcSet [ /PDF /Text ] >> endobj 147 0 obj << /Length 3885 /Filter /FlateDecode >> stream xÚµ[ëo7ÿž¿Bè'ùP±Ë7Yܦí¡E›æ¸CRŠ%?.’¥Jvü÷73îr’%Çþ°6Éåò1œù̓£ïNŸ}ó£Q#)E´VNÏG> 5r±>ÊÑélôv¬Å‰›“‰”ÊŽƒò <—óÍÉD{3~WI3_@Ël{òÇéÏßühã(Šè”ÃѤѸÑDIa½Nã½S²â®®èŠ%9ªRŸï`À7ð\À3‡çžÀó?~7­ßÑÀ¡×¡+—þödbŒ¿¹ÄoáÏbûÐj¼œâ¶ÎNT_b‹¯qÜ í—ê*ý[§ˆ 4eÓ>÷ã'Ö§ÜN«[ÎÓ7ï*[!Áð3¢Ù”ô"Êš¯xwgð|äòÅðNµ“?„¹$ô§2ÑF ¯F ´ÑþðcÙ2ùÿì‘]Ž·ý)¼Óé½ãçש£³å¦ƒ°Ò䞯ûC‡Yïmþ &DŠohf\ÖèõÉÄVÐÊKºÁÆÊõ/ø"u(ΫùŒpÔ€gl«ªÛ/Ïs}±ÈÕxKÁ™æ8ÎY= |¾JÿÏW¸ˆ þ™ºNÕiúG¬sI,7=c!BŒ&A "‰i"Á_È©óÜsµ©{b}ÿ@E˜S ©S¢ªêcYó9nó¤ðð¿b¾»d2býk˜@ijæ^8í·ð(xª¦vþOû#,þÚoú§hÞ³¨Ï\NÃÔ*Þ¾ç=N¹×¬@œ4Ó.…kK.úܽ˜¤=×ÞÎ=¶AxãóQ Êr„.U8^–Ϙ™7LÓ÷Lî,ßCòìD ¦gíø-Ãñ«Søó–^>ÿ哉ÒnXÖƒÒÈ=²ò¾/긶–¨ã ÔŠB¢~] hz[È/VYηX³$äÎj¢zHJ€Þu4·¤’ÎhAi,dÈ„1TòP{dZjØp¥Úœ´[¨@ÄéåUÂ,ð%Œ+Ü¢z ÔáD9ÒFÁá°Óö–õävνH{Á›fÓ}6‘^Šêá o…«j&Ù®Ó²2·‘¹@âE˘âª=üI›ÏÛ•û1,za]=K¨Èô¤²ÑGçDâ´R&•W›ù€õ½ ¥ììÀÈ_Ûx¡£ Ì[ÐýCÖ’irÆŸ®ºÕÛ€µB…ÐÛ@Ù&Kå-™"/”•š.H7­–܃×þß“ ÇóiYš“ÞãÈ›Õ2U~–Ø ‘j§ÅDˆ‘sì;½]°­‘ý³`™ä®çƒTU! §â@’­€Uk°¸j:u€Ï»šl/YüBOoD¥¡h + )u½JÇiÀPñÒ·Ïs1Ðøk£1öÙe  ”‡Ã¡|Ù¡Ó!RÚ…r£c‚r48O ×ÊìÀq'´{pζ!ä×ÊîÁq|[ÚÚPmpGÖïTäâ†G[óép‡Âp+á<µJÅ$ddÍ+Sà|q£Ámv@ìµ;ÁÞY„:O³ž%œo¬´ß¤NØ7|à…‰¨ÍÖÛ-o;¿Î–ñ´eÙt-º¯Ø¶ªŠ§cL©ý¯íÀë/±ƒ¨$Ó00©ÁbO´`£h“Þ!R`ÿåtû1YRغnõ‚ìô†É]¥úvøß4‚ëu£ñUÁ’ †hræ¾ÛfɬÇûT0ZÜûÔa’AÇ—ÕnuØÃŒ‰Ê{õ¨ÐBGsØ+Þ7B¾ÏÎ>ÓäŠQ~H•PU[éÉa®ÒU ø[L!‚>\0:Ý|N¯2ì~Ê&Pjºœrå./j‘ê¡•³Õš_ÏgÍ·«Â¨Ûa¤"†ZýAp<œ¬?ÜÖj¨VÇ°Ò©y#¼Ô唵žvZh©ÚlIŠ(½Z1²¼zSž„§µ–ï ®Uu°éf=Œh)¤Æq¯A/¼lå^Y*%mG²Ù›Âýž › ücAä9‹›¼ȾŠÆçãCgT@§mAgÛI×A|ä ŸÃŸÏé-±zæóP|•»¼¸Eê\8¤²Ëç<Öª)îæó(B­zÉ~ÒÍ07€2ÞåÍ>—˜Ô8SÚØŒlN…5²sÒÎpoÝ[«iE»›Ãì³µñ³µãZuÙºmŠ*êGdU¯PjsgÛŠãÎgÉ@†96<`rÞ™nr+x8Ò&žÁö»Ëdø2Í^ NT4Âvüåm^ÉIw†4E®’~<›Þ µ-Å»-1؛Ҿë8«Ø cuWŒ'V óT8[-‹x2~uNîûr𘬸Õ(à¾oÖ Ÿ./E.›Íñª·t ¥ó´÷ªõzIa€Û¬ªñ(š¤iŸÅ+ ÒàPNÈBR!ݨñï¯Ù&0Ý47#ÓÒ6M«ÇuKkàVÄÙ2_·èÙ·¼0ªK[ƒeÇ6QÕ`Ùw‡e¥Aí¿Â:Ô±Ž ÏŒå"ªlAÍSŒé Œ8]ð>§~w/SØ7Û|±M|—¹1ºþ–1ë5F›…‹™qt.½JïZš¼e£b´0v}à#ÁXQ¹Ç$æJ6…îÞ»\ãûã ôm¬>ÊÙ}ñF6È^D¡Á£Ôñ¼Ý5–}ÆY2»‡·‡Lpï Òõ)Žœ –3¥$™Ê×Þ²Ô)ó,V˜³”«ºê@Ê꜡†í¿œ£ÞtˆY ŸýpúìÏgØ¡É‘Öض# 6’Šat¶|ööj4ƒ—?ÀW‡¦;êºiîf1zóìßϾÃ{òÖ¼ø§J#U16Ó‘Šš]mv¤ðò£¶þ9€°ŽúL¦×Í%qk`#§Â}„ims®=º%øƒ@`80µŸœ.¤À³lXlSXIyÃÑÅâÒ!ÃHrKHôŽ›qç`!áËõ|@‘¿/ßEŸO÷e, .·¸b9`æ-4Θٗ¾há°Kåš° H:(¡e¶­¡ºÞ°!hh"jcf¦2­^»Oi¨Ú‘ÀÊõœÝì™uPåks3…^ÚUH|Kƒ)ç(JƒÿY‡¦¶ JPÞfÂæ¾ñíœl`õÜNßØ9qA¯zfD“ÅQ"@{@€èí ™ ™<«´å V†5Õúä¡wt“Ú¡ìÙØ›ì3¬Ó=_¾Y¿JÆs²3ë¢×í“[Xªñó7§'ÁŒŸçà;Ûø“xª:æq>Í÷.¨¸•Æ›-n ¶©•ìw,ÔA (Ï—kúL§Ï©¥ËºØ¶ãöJy!£yŒs?D¡š{-ÁcNÀø±‰íŒ7J اŸ WÜ^ ÉØ ”=xŸÃ”ÿ‚ç9[ìoö,÷†°?ÇJïOsÞߺ&ÒMo¾€Çz¶¥‡\u+tc]°p®Âû•¦RÍìŠsôn9ò­-¾¼¢SqŸ€kªPžrß¹&ŸœkôØïs®ض¾qljGdzÕɽ‚Cn/ ®ðµkKÿsTÖt¨¯Þäô§yÊU¾|)?5«œ^¬;KÌPºÃÁˆ„EO*>ÇfZZ‡áðº×ãßrúÃMJ$ÍÔ¹Ú6‰¥¢¥¦LK(~F¾¥ y¸E 5®®‡˜("LÛc-EƒÜO£RŽ À|0c\q›/’pþ^² 5ÙIàU7S¤ÎðE(Êù!ËçÉX[[ø’PjÞfü•ã‹µZ„)uVk@ð˜u¨h²Aق϶‰H å 2…€Ôw‰¦ɶùÊg:ùô¬ˆ²ir¥‘>w‰·áC†™úT hÈ ^ÐÔå]Çc(³$»8W¼×Ï­€•¯ë¼ã±“>‹Bãn¼h–‘éü˜A»'à¯v²äð]‹nnž€³Ú+À H¨v†µMíË ‚¶j؅ùԜ‘ÐÊ ­l!¡O©!!½ÝÖ–w>o›Ò¯.†bñ2hác<(CÆǸ.]/yÍÇÚ;ÃrÉ¢˜-ÞF:JKjÓëYêXK“߇q^ íìè¾ DUzSÝS¦£ke:R;É¥çd@™ØŒQÓÂ(£Œ¨Lç@(¤Kzq%¸â‹)l3Iõ Kù\|Â…5;Û2¥·#¾øÆÅ/ÈÅ[.Éèòª‘ÒÂw‚æZA™òQÙí/—GWˆP§…yÓ¿XSs›ˆcÎfù&ѧT j­Ù¨ýë œ¸„9¤eÕIáŒ`¸È5³n80˜lx”_MpR¦­s\Ô¥ó‚“{Sd@1ÜÛäç/.çyåÇ›WDv˾:%Î4V{Æß"%TïqìsÖô,d—„«Î{vªcçdë¼ WkÙó¾qOi6Á˜a×?nåvñå­«-mS)°Œ]–ëìýgÙûç#þ”Úvxÿˆfñ)Í%-tÔ÷šKà2ºæÚö=û%SžG° ò)çÄõ‚@¦º?0€‰2BúÐõÒžXÞÿ{‡# Ž×œœý@€oßo ߦȨíÐP°µâî›U:ë¡áœµ¼ËÑ!ìþ‡³ærÅ F)5¤`°ùá€dúcújqEå¤ ±áf÷/ ƒòôšÓ? N÷f™µ`âí®ª‹‡ÌüлªHu|­/)\Á e¤ŒTÂvs*zŠ8øû)D8rênoR),Ôæ ”O_ÿ˜z¦»á T<þák•8d[akÅŒ…Á³mU^®@c«h}»±Êÿùø\ Þš²ö ëÏ1ÌЗ1‰R-m¤B³ŠòÈu%‚æmøœðe¹? endstream endobj 146 0 obj << /Type /Page /Contents 147 0 R /Resources 145 0 R /MediaBox [0 0 612 792] /Parent 149 0 R >> endobj 148 0 obj << /D [146 0 R /XYZ 78.2 705.06 null] >> endobj 42 0 obj << /D [146 0 R /XYZ 79.2 700.753 null] >> endobj 145 0 obj << /Font << /F42 79 0 R /F59 99 0 R /F56 85 0 R /F8 82 0 R /F65 98 0 R /F54 84 0 R /F11 83 0 R >> /ProcSet [ /PDF /Text ] >> endobj 152 0 obj << /Length 1181 /Filter /FlateDecode >> stream xÚÍZÝoÛ8 ï_a÷à³jI–lnš¬Ýv؇6÷´C>œ.[švR¬÷×O²©„uóQ³]ÓŲLR?R©´»G§‘ð8g©RÂ뎼8eÂÓiÈâ”{Ý¡÷Ù—¬Å}Õ 8Ê?6õi+±ò³Ÿ¦Þ3åj61¿YëK÷ï£ÓÄKYª…¶²B/š%‰ªu¿­ÈT„èxÊ yIV”TJT?ÃV âпyTõ Á½ž¤©ÊÄIXX¢ÌrÊØ™—ëÜÖnêˆòuf´Dìÿh)í÷.³x ÷/mgʴ߉»VJÛTǶ‹Ô\O-—…0˜/»ŽýY^‘(å·¼æcÙÞËW’Æ¥q £ÕÔJ"ÕÇ’§†Ô ›A(¦åÒ’Ùy©ÅôújýEšÉT;†ûù³b‰1OI΢$1£›°HV¬oŒjBú0Fß”üÃ>oM¹Uh%*k^ÎiiãFðnȸíÕºOå˜wz(€¬2 ÷¿š2‚^WR’þeªÁŠë¶üÂKóeÐ![à 8áõ'° A9<í÷W•t[}‡Ô™#iW@nÛ?B½—}ÍS~@ÝYç5î²Úán˹±q6`k-·Ôÿa†¾§ÄY8 N‰`Ø?jàMlÐÈÙ‚{ Y$D¥ÎgCÍMù²2þ.ëXUÑûÊtÊ»2ç@¶¡½@²Ü{¹2­›E”=\7¯^áÕÍñ¶Q¼]€O/ ÏM~Ý9`v¼²©}ãýâmìËÉ~ñê¦xÓæx;(Ne@ë|wæÐs˜k›qpê`ç3nŒ9-9>§n 8-éu Áõ }\ b9ZãlÃìt;E²H¶–/KIÑßÖ=Dw‰Hx%¸I—ácì¯^v’Ý5 {Žpf>§ßâS¼ñþð’âK²?¼1ž„„x±àÅÛþ`l­Yl⧢lXùðÚê.P¾q;Ç]‹ð&5{ÀzäÈå”9(h¹ð)°&¬j?XS VB®ûï ”§çhò k¾<Ÿ­d¸x#(¸ãÇá.j±n×¼»‚²{£²o²¼ %.¤ûÁšR¸¹î_ðÕ­-'PÂAá¤nÂ=CkŒ.’G:¨ã/OIуÏP»íûíuÇÈ—Š±eJ9œ‘´<ø”˜3!ž£s·–¾A{Z·ÏͶ`.PÜî Y¼iœ‘´<ù;u Í[ý²t ÍYB.uW¢#ãíÿh°m¿ÃѾG£4¹í¾3¼{ý·i8|½'©~ÿ¸ÿ»7ŒÝ=ŽP°):Pr=½† }Žr²û¾q€P^9Úî áBÔ qÍÛí /Õp_gHã .#r÷‚®œ)î‘ýÄÄ’œt~JGô endstream endobj 151 0 obj << /Type /Page /Contents 152 0 R /Resources 150 0 R /MediaBox [0 0 612 792] /Parent 149 0 R >> endobj 153 0 obj << /D [151 0 R /XYZ 78.2 705.06 null] >> endobj 46 0 obj << /D [151 0 R /XYZ 79.2 700.753 null] >> endobj 150 0 obj << /Font << /F42 79 0 R /F8 82 0 R /F54 84 0 R /F65 98 0 R /F78 112 0 R /F56 85 0 R >> /ProcSet [ /PDF /Text ] >> endobj 156 0 obj << /Length 2106 /Filter /FlateDecode >> stream xÚíZYoÛF~ϯÜ>H…µâòfÐHœºE4£EÓÀ uXª%R¡¤¸Î¯ïìî wxHJ#Hƒ<¬Mî1;ç7³K=>œa'Iè†á´%Â턉#¢Dv†ãÎëî‹žì¦ÐFÐnðùÚÚÃ^?p½îx|ɺ3h9´%¾ h¬¿€öÇÔš9’ßB[ãüWÐÎîöHÃï½þÖq:})E†Ï!Ú@[Tù»@¶7ØÌ>zèÃXÒSÿv!bÐ%Íàç.tÓ]íÚप2êâ¡@UÌqqf†­ps®ˆÐ(â)’X£’Y!Ó–ä—« ÔR]áæ92 6ãʱ™rwæ±E¥ÈWÝ©ù‘¦Ë…G›_ Åõ¸ç%$Ý0væÖ^O˜¾iÙ#CM¢œjŠä$6Âé& Zþ®RÚUbàxø_½'m´HŠk´]†ôÖh–ûò“–­×èš$óœ¹ocÛ–õûü£°4ªŽqK&Ø•·c†&9 áSŠt&HÌôËðë Ÿ¶ˆsh« û–M(Ou8™¥Æ¤zè _Œêµ Y545ÏÊx°ö'ÇÙ¿Âã/Mè#GõwyJŽ®T Y‡úV”sÔ•î–ݶò>F’·È‰œâ˜ÀmÖ,“mYßûHÚ-Ò¿fº3˜{Á <ù˜s¤ñÃîµ?"x/Ñ™~Ç"íöP€[9*•ÏòípË‹£ö­ß¨Éo[è3”Y±(¡ÄÜq‚[Ìpû›CFv–D'£ØÄjòŸÕEêñY³ë2Ⱥ÷0uôÎ|ß*£—(£ÍwÖZŒ)U1ø1‚Uº{'·x Eù% Á·U«ÕMcÔÚBsY£q¼'lY@nXúO›ZUWJ†ÚNÓ0îþá eøÓôœ!Ç$ì êzUË{\o¨£V„~Élö”A‰úŽ6]0}KKo±e@1jš‡››<ówlÇßH¼·J:d¾º‘„Nl–üG’sï—\ðAä”m|)¢Ð¯hZQÛWž&û „ǹ¨kýî1Ö,‘צ»@ÌSÓê‡Ä™4ýøŒ4Êá+æËÿâkÞòDUå¶ì®™xú?4ï¸f›«Z ;Øéã: 2Í×éö²ŸãÞ›½¹ãNåBÆ7uZuñ}zPý6ÿ|ÚSÓ~Æð&t_ÕÐçá¾›Ùý¾Æ¡ìõ¥ãGÝïlNMw^¬ì"úÛIƒ¸é{£ÛŽó¯Ð¨r ¸³ªà”S!™wÀÙä*—lΚeÆ‚ñJ…Ë«Á¶ãÑ%Ž©9üŽæŒõí;²œ×èN¿\\Ž`B÷þoJ-_Ö4;ªãzh³ßc¿¦yÀ†ƒó˜ÝÜK_$>@ç'ŽUÏ{±ß-r(<ÏífyÏ}õË­zž¨gEv­xZbAfº1³ïznÜÍ·fЖ¿S½¸b™êÕõdlV˜»Q=´Òׇ*cûÊ#Jà3YÜ0¡ƒ“2` \óGmDp¦‘þ®çªð"Ê„V+˜Î ³)É¡/µ4oŠ«‘榄Šºnœû®Rªç‡®"Ú÷d"\)5¨{‘gˆû€¸Ò @Ó‰¯v3+ù"¿»™‘d’“IBá{>ñ¶1J Xªö¥â(ˆK`hÅMC¸>RP†ö¤K‰:ö´ºeˆòj6àÕœêµ)煮»ë Ùgcö î\ ;,'¶/šlSn9®iÝEžŽÍ“æbÒBØ÷…[ÚYG—¶@–/ÛMëGBF¥úvH“tS¼©W"+U¦X…W5bÌÃ?%žHܪçÔPâÔÏ6Û7#Ö‰DTvÛê#où•&3ì&bƵr]ºh #WDNptyÀ]©jÞé{Q(š&T½,WT´œš‘¹¹ & ˜MÌó*5ʯ#Äd …ôäý@ÁÜBgÅì0ÓqiÖ bõÚ‘>÷ ßÕ’+%¾“&q,"?âá çĮ́ßžï‰(ˆ;}72Ädòí=ãŠ]ÒÈ Þ3rÐ]wAìYñþ|¾rûõi:µœ·ç=­-É>®z}7ìNèsn¾·õ½$6•D€ÑˆŒÐG¥Êû‰˧¦Ÿ(¼^k‚ùg¥ÙØ<”.¬ßtŠ,Æú°èdòÞ©xMÐx¢ž;J‰µè†ò2t\‘VÁFQ7)Û@óâšËòó ŒÓ9o²6ƒ%=‰Ò´\£ )ß’(þ•0À$~èÚîÔº°;V,LSúš»i ¨Øn"?ŽÆ Ëð½Û[ÅîH+?Ý C Ið¼6ÕÀˆF#{ë†3Œ#„•V…(`ÙÂÇF%t·L§u•x‰i½ò#Šf"U齂Xî?³Œ4ÓšËL¹Æ„uSRKÚùõTú¤œÈ€’Á|X.CÈ>ä#½JÝd£iÒ „ëDŸ1MúI Ã!/:æB!£´#}s’Ïrª2aJ¥üqX4få'x$†@E™ zR­Ú;{Å®¶ ûéù®J)vE,ã©”œa®ˆö;J_…皯‹-å«vÏ E\w”ÐzW¶*¢_9ècÁ¼è³;"ŽÝjbº°‡Ÿi»–¿Èز³þ2âGÌ7ìFˆN”ZJݶ oµ9‹]ž ‰6.Cñ#÷ó8:ɺ£UÎ*öÐPV2¯dj3×%ŽŽ&¶ê)&vFÞZ&”çI~"éôƒX$PÍTu83( WjW˜™X×v²_uf{møŽ+C„!l•€ ð8©:òàçáƒÿ®´‰Q endstream endobj 155 0 obj << /Type /Page /Contents 156 0 R /Resources 154 0 R /MediaBox [0 0 612 792] /Parent 149 0 R >> endobj 157 0 obj << /D [155 0 R /XYZ 78.2 705.06 null] >> endobj 50 0 obj << /D [155 0 R /XYZ 79.2 356.911 null] >> endobj 154 0 obj << /Font << /F56 85 0 R /F8 82 0 R /F54 84 0 R /F42 79 0 R /F51 86 0 R /F65 98 0 R /F78 112 0 R >> /ProcSet [ /PDF /Text ] >> endobj 160 0 obj << /Length 1130 /Filter /FlateDecode >> stream xÚ­W]oÚH}ϯ`ßàÁ®gì±=Q·RJI—Õ&·ê*­"‚ÒÚ¿wfÎÀ5˜*©òpåa>Î=çÞ;¼/ŽÞœª´¥CÊ´UܶD…Q.[©ŽÂL‹V1j]µ@ɸÝíˆöÙ÷sHÍ;²ŠÌ´ï]÷[j®ÈJ²Ù Úßaï:ߊ¿ßœæÌi £0'§ÌÃ$v>×zañí‚Mš˜Ñ‚ÈÍý —* ãHx€ MZv‚8Ž-ŽSeÎ ”ëÛ ÏgZÖ{éüR¯´ë´@fí5M ª‘»éPïÏu"Õ¡ˆcÏ®9üFä#Ù"G "³0‘ÊÄfŘ2›êÌ=QÚhZú˜ýt'S«©²Ò+(,‡™SöUÚ.ÇÆz‚”Ü5ÈS¡Žs—l©%±OÍs²K²‚ì„ìk¯RiÞy9µá³ÄMD—P61à8D¶DÆI* LÔ A¥Šý¡:Rµ/+[GdFþlJ0™rq½5†äC Ö“™éߧHØ1§»`%6{ÄÚ¹k8–¦V‘¬œŸðs<­°vukS}år[æ WÚ¦R ü°ªGÅ©²óšÊß ´‘Ÿàµñk–ŒÝðpæ‚,\T¢yì"í‡ ‘ï;—î%Κ%Ìb€Xß[ô}Tä>¢¡=¾¬ßð{øv8¦fHá+]7.ˆ#ß`åjG€ŒC-¤ïð8d›°²ÄÍdJÊfMñ¢õ͹5ûº U]ì÷ÿÈL`zdoŠ9Ÿp.„h›ù§à›SÍ¥iVÃ<Ǽ3à P5]`w›²r…l6p,°þì÷ø%B‹=ÍÿnÎ7wÖ û ?ÕÌï xçÀðççq}!_iµ‡ßÚK`d}/ÃçÚÒ­¶¬YÛü]°\¾F}œìäó`Ìu3¯{u9ìÄÇáY®ô^õó4ýµ“»-—àI.„È]"žœ;‘q×UÚ9dKü^;aý^c-ÖöPÁÅì¯,œ)üÅ9Ú¾‚JØ•ëš³Ù÷hÙÝq|(«,€sö¬àOŠÊ½D”dkÅŽlºJe*´õå×ÍÙtÓ8dx#ßÕÖô\(Q•¬Dü^(}QÙÏ“{^LUíõⵎ¶‹]Í>£NñÆy^-î.g×HpËÑçm¶ÙÔ‡¦ïý7R‡‘ÐÄH%a’ãÿ‹°>êGÿn¸ endstream endobj 159 0 obj << /Type /Page /Contents 160 0 R /Resources 158 0 R /MediaBox [0 0 612 792] /Parent 149 0 R >> endobj 161 0 obj << /D [159 0 R /XYZ 78.2 705.06 null] >> endobj 54 0 obj << /D [159 0 R /XYZ 79.2 570.05 null] >> endobj 158 0 obj << /Font << /F56 85 0 R /F8 82 0 R /F42 79 0 R /F78 112 0 R >> /ProcSet [ /PDF /Text ] >> endobj 162 0 obj [514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6 514.6] endobj 163 0 obj [894.4 575 894.4] endobj 164 0 obj [525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525] endobj 165 0 obj [531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3] endobj 166 0 obj [611.1 611.1 611.1 611.1 611.1 611.1 611.1 611.1] endobj 167 0 obj [569.5 569.5 569.5 569.5 569.5 569.5 569.5 569.5] endobj 168 0 obj << /Length 149 /Filter /FlateDecode >> stream xÚ31Ô35R0P0Bc3cs…C®B.c46K$çr9yré‡+pé{E¹ô=}JŠJS¹ôœ ¹ô]¢  b¹<]ä00üÿÃÀøÿûÿÿ üÿÿÿÿÿýÿÿ@¸þÿÿ0üÿÿÿ?Ä`d=0s@f‚ÌÙ² d'Èn.WO®@.Æsud endstream endobj 99 0 obj << /Type /Font /Subtype /Type3 /Name /F59 /FontMatrix [0.01204 0 0 0.01204 0 0] /FontBBox [ 5 5 36 37 ] /Resources << /ProcSet [ /PDF /ImageB ] >> /FirstChar 136 /LastChar 136 /Widths 169 0 R /Encoding 170 0 R /CharProcs 171 0 R >> endobj 169 0 obj [41.52 ] endobj 170 0 obj << /Type /Encoding /Differences [136/a136] >> endobj 171 0 obj << /a136 168 0 R >> endobj 172 0 obj [277.8 500 500 500 500 500 500 500 500 500 500 500 277.8 277.8 319.4 777.8 472.2 472.2 666.7 666.7 666.7 638.9 722.2 597.2 569.4 666.7 708.3 277.8 472.2 694.4 541.7 875 708.3 736.1 638.9 736.1 645.8 555.6 680.6 687.5 666.7 944.5 666.7 666.7 611.1 288.9 500 288.9 500 277.8 277.8 480.6 516.7 444.4 516.7 444.4 305.6 500 516.7 238.9 266.7 488.9 238.9 794.4 516.7 500 516.7 516.7 341.7 383.3 361.1 516.7 461.1] endobj 173 0 obj [591.1 532.2 532.2 591.1 532.2 400 532.2 591.1 355.6 355.6 532.2 296.7 944.4 650 591.1 591.1 532.2 501.7 486.9 385] endobj 174 0 obj [525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525] endobj 175 0 obj [562.2 587.8 881.7 894.4 306.7 332.2 511.1 511.1 511.1 511.1 511.1 831.3 460 536.7 715.6 715.6 511.1 882.8 985 766.7 255.6 306.7 514.4 817.8 769.1 817.8 766.7 306.7 408.9 408.9 511.1 766.7 306.7 357.8 306.7 511.1 511.1 511.1 511.1 511.1 511.1 511.1 511.1 511.1 511.1 511.1 306.7 306.7 306.7 766.7 511.1 511.1 766.7 743.3 703.9 715.6 755 678.3 652.8 773.6 743.3 385.6 525 768.9 627.2 896.7 743.3 766.7 678.3 766.7 729.4 562.2 715.6 743.3 743.3 998.9 743.3 743.3 613.3 306.7 514.4 306.7 511.1 306.7 306.7 511.1 460 460 511.1 460 306.7 460 511.1 306.7 306.7 460 255.6 817.8 562.2 511.1 511.1 460 421.7 408.9 332.2 536.7 460 664.4 463.9] endobj 176 0 obj [777.8 500 777.8] endobj 177 0 obj [555.6 555.6 833.3 833.3 277.8 305.6 500 500 500 500 500 750 444.4 500 722.2 777.8 500 902.8 1013.9 777.8 277.8 277.8 500 833.3 500 833.3 777.8 277.8 388.9 388.9 500 777.8 277.8 333.3 277.8 500 500 500 500 500 500 500 500 500 500 500 277.8 277.8 277.8 777.8 472.2 472.2 777.8 750 708.3 722.2 763.9 680.6 652.8 784.7 750 361.1 513.9 777.8 625 916.7 750 777.8 680.6 777.8 736.1 555.6 722.2 750 750 1027.8 750 750 611.1 277.8 500 277.8 500 277.8 277.8 500 555.6 444.4 555.6 444.4 305.6 500 555.6 277.8 305.6 527.8 277.8 833.3 555.6 500 555.6 527.8 391.7 394.4 388.9 555.6 527.8 722.2 527.8 527.8 444.4] endobj 178 0 obj [638.9 638.9 958.3 958.3 319.4 351.4 575 575 575 575 575 869.4 511.1 597.2 830.6 894.4 575 1041.7 1169.4 894.4 319.4 350 602.8 958.3 575 958.3 894.4 319.4 447.2 447.2 575 894.4 319.4 383.3 319.4 575 575 575 575 575 575 575 575 575 575 575 319.4 319.4 350 894.4 543.1 543.1 894.4 869.4 818.1 830.6 881.9 755.6 723.6 904.2 900 436.1 594.4 901.4 691.7 1091.7 900 863.9 786.1 863.9 862.5 638.9 800 884.7 869.4 1188.9 869.4 869.4 702.8 319.4 602.8 319.4 575 319.4 319.4 559 638.9 511.1 638.9 527.1 351.4 575 638.9 319.4 351.4 606.9 319.4 958.3 638.9 575 638.9 606.9 473.6 453.6 447.2 638.9 606.9 830.6 606.9 606.9 511.1 575] endobj 179 0 obj [625 625 937.5 937.5 312.5 343.7 562.5 562.5 562.5 562.5 562.5 849.5 500 574.1 812.5 875 562.5 1018.5 1143.5 875 312.5 342.6 581 937.5 562.5 937.5 875 312.5 437.5 437.5 562.5 875 312.5 375 312.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 312.5 312.5 342.6 875 531.2 531.2 875 849.5 799.8 812.5 862.3 738.4 707.2 884.3 879.6 419 581 880.8 675.9 1067.1 879.6 844.9 768.5 844.9 839.1 625 782.4 864.6 849.5 1162 849.5 849.5 687.5 312.5 581 312.5 562.5 312.5 312.5 546.9 625 500 625 513.3 343.7 562.5 625 312.5 343.7 593.7 312.5 937.5 625 562.5 625 593.7 459.5 443.8 437.5 625 593.7 812.5 593.7] endobj 180 0 obj [489.6 489.6 489.6 489.6 489.6 734 435.2 489.6 707.2 761.6 489.6 883.8 992.6 761.6 272 272 489.6 816 489.6 816 761.6 272 380.8 380.8 489.6 761.6 272 326.4 272 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 272 272 272 761.6 462.4 462.4 761.6 734 693.4 707.2 747.8 666.2 639 768.3 734 353.2 503 761.2 611.8 897.2 734 761.6 666.2 761.6 720.6 544 707.2 734 734 1006 734 734 598.4 272 489.6 272 489.6 272 272 489.6 544 435.2 544 435.2 299.2 489.6 544 272 299.2 516.8 272 816 544 489.6 544 516.8 380.8 386.2 380.8 544 516.8] endobj 181 0 obj [654.3 667.6 706.6 628.2 602.1 726.3 693.3 327.6 471.5 719.4 576 850 693.3 719.8 628.2 719.8 680.5 510.9 667.6 693.3 693.3 954.5 693.3 693.3 563.1 249.6 458.6 249.6 458.6 249.6 249.6 458.6 510.9 406.4 510.9 406.4 275.8 458.6 510.9 249.6 275.8 484.7 249.6 772.1 510.9 458.6 510.9 484.7 354.1 359.4 354.1 510.9 484.7 667.6] endobj 182 0 obj << /Length1 1896 /Length2 13699 /Length3 0 /Length 14874 /Filter /FlateDecode >> stream xÚöPœéÖ àîÞhpww‚»»4»» î\‚îîîÜ!8—™3gfÎ÷ÿU÷VWu¿ëÙkËzöÞo5‰¢ ½°)È(²s¦gf`âˆÊ‰h23˜˜X˜˜Xà((T-m€ÿ=‡£P::Y‚ìxþÅu9¿Ÿ‰9¿å@vi3+€™ƒ‡™“‡‰ ÀÂÄÄý_"È‘ fäji cHƒì€Np¢ {GKs ç÷<ÿ}P™P˜¹¹9éþtÛ-MŒìrFÎ@Û÷Œ&F6‰%ÐÙãBPñY8;Ûó02º¹¹1Ù:1€Í¨én–Îe ÐÑh øC2@ÞÈø—48 €ª…¥Ó * 3g7#G àýÀÆÒhçôîâbg t¼g¨HÉìvÿ!Ëþ‡@øërÌ Ì‡ûËû@–v:™˜€líì<,íÌf–6@€‚„,ƒ³»3ÀÈÎô¢‘èÝßÈÕÈÒÆÈøðgéF a%€Ñ»Â¿ô9™8ZÚ;;18YÚü¡‘ñ0ï×,ng* ²µÚ9;ÁýQŸ˜¥#ÐäýÞ=ÿj®µÈÍÎë¿ÈÌÒÎÔì¦.öŒjv–.@)±¿8ïGpÿœ™ìLLLœ\ ènbÁøGU{àŸFæ?Žß5øxÙƒìfï2€>–fÀ÷8/'#W ÀÙÑèãõoÃÿ"8ff€©¥‰3Àhni÷Oô÷c Ùð{ÿ-Ý:LïãÇ `úãó÷“Þû„™‚ìl<þ¡ÿÙbFi-)aÚ¿$ÿm¹¼èÙ9ô,ìLff6çûƒÏÿÆùûþ«þÏSE#Ë¿ªûWD);3€û?"Þoï¿B\ÿš ª¿Ö†ð¿äAïó Pý3þºLìL&ï_ÌÿŸ—àO—ÿ³ÿG”ÿ×ñÿ¿I¸ØØüi§úáÿÇndkiãñã}ž]œßwCô¾!vÿ—ªüÏB‹€lLÿ¯MÊÙè}C„íÌmþ¾FK' Kw ©¢¥³‰Å†è¿]xnciT9YþñÂÐ331ýÛûΙX¿¿TœÞ{õ§ ø¾Rÿ›RÜÎdúÇî±¼÷ÝÈÑÑÈî½õïˆàÅü¾¤¦@÷?gÀÈ`r~w¼‹ó˜áþè(€Qä£?'€QâÄ `”úqþF\ïLÅÐ;SåoÄÍ `4úqÿAïQLþF(f4ýd0ÿ,ïaß9Yü‹Â`4ûåYþ ÙYÿ€®ÿ„`ÿÃrqü—ÿ;Åü_ ÀøïèìFËÁw%Öÿ‚ïRlþßµØþßW‘ÑîŸÌï®vï-ü—ý]èoÈöî úó{©öÿ‚ï…ý«læ÷ÂœþßÛæüO®÷ÈÎŽÀé~¯ÅÙ ô/‡÷r\þIþ.ÄèøûÿÌ“‰‹£ãû»öÏ¿úÿâ?_ì@ ;ÐnidÂlUÜv_#ŒïF¿7Î?C±§‘JMïµäøÓå :™º:3pÃñN8y¨euGœêVh™øÅ븥:ìG¢Rë“÷³A¼òÔ^+Üâ$VÿDá±p]!,½ªÐ¾÷‹ƒ·z€õ‡ðiŠ\.$Å|ô{·^I÷º¾²•ÑÐù=¥ýjøç²iúµhÝ€âYŠ<ã¬9ÒÎô„04hîȳ·w3h9oÄÒñ´p>'1¬E^Ú›,±sžkª,N¸ä¸Ú8„nÑF§(½D¾Jc/x•|‹Þà_ÈæŒø2¸Ü›0'£ŽK꫈ã\JÏŸá/ÛNÞ™ãf’áh£n2! üD\ãBQ"i–XE6TbE`é÷ðBF¨’  nJû³‹¨óäL­ƒÆ;á s̯q[¢;~ôíö,_Žç‡ŒåFS’²PÉf`ëdËò XÓc*y>âÊCN1õ…^:}oy ß~Ó[}° óþæl«»ÎÓ ïÎ…­8þd¬Xx~úRÔg1¤ÓPƒq‹4‰bÐξ3éÌòÊšØÈyL'Å‚-‚tZžÅ5(ºÁ4‡aëD ¡1©ôhªyBB0Õ'ˆ4ó’Õ~Z&¸¢t†vÂv TŽú¯7Éfïg09F ˜°Ëu–Í:äiRÃs)KÔÖ±MÓg4j˜YÝ÷›gKi°¹aL˜ÃÚs–åó¥$ÖH©p“5â6GS„ér°ØRòOÏÅê´r­š¢9×súî Lú2Y=Bö<ë$lJ~xÒ–ñSü|ï(‘Á÷[\:¿ö)sŠAÞ÷¸Ô_}¦ÆFVšÖ` Æj¦~ÎùUËUf)Ÿø'P×&MöBÉ!–O=AJx>ïèÛ¨ Ú`ýå‘„X·$™zkу«uäs3ƒ8·gy‡v¾eo¶üwbF®G\Ò ˜)”ÒÏÂËœíó‚¤åÙYØÎ'_‡Üxi¦öÂmØá;à%$E4v™CTˆH^û YhNð?ÎŽâGsñhÆý¸²Q+ǃn–Ê¿Ôq+‡ÀÛ5¥ÔþeXŒ;UšÓ¾^ƒàdú(ñ-åV3Óþâôd€ª)÷¬ˆÑfaJ`ȲNì¨Q<ùWóZæÖg3dh݃dh¦CXÎS"#å }TªôgYl+T²[·u–V²V»Ç-r嘆)U´SYè¤D½I¯rÍb÷G¶>Éd7ôÆŠÝoÅ{‘#óÕz·kcëN‰šlxøùŠb3+ÞXSA²8RZŽ“rÂnsˆý/^·¨4ëg§)¸Sðèt*J»H,ßZóŸ*(?•ØUâêÖê)Eñ m¯µtsØàÚ1s‡Úêµ]\Ò3.—éj‘sàéШ‰G’õ7GËå)œP!NÔ2ˆ=oÉVo—áèÞÒl Ý{²~*þF9™Ìñ-ø‚%eõcd-UòMºµ¿a-ŽØÆ+cí D²5ÚPBìëTûj$gÃ;ýC‘žÇ0œí¹ïºŸ|´Ð îJGê_1ažÐM(:‘}©0H–á¤]œ}R¸æÝö'7½vr9BѪÆÆQå‚Ó`ï)•è{ì}Š ŒL“£¬å¬GmAýꬽñ©ëHèçÍž,WÜÌNZHÓ^ÜAx²|ÄW=ž,]G×*{mfE›2Üþ³cüî8g(‹Ô©û·Ù‡ò ¡eŸ­ƒ%Òù ¸!S©xqX:€UǾÞ~Ÿ+C—³{ f)ìy‚µx—–M~õ7Ó0z 4ü¯º[Ѹdh¿oüÄ¥2;X bˆVvÕR¤šaø«bÞ÷”myá=·Ö–YmÝK'(`èî5ÑÇÆ-.Ý‚øßB§¾' èÒÎÕ[œ²<;“Ÿ÷„MýZ%‰fòûùLlJûÏ'‰a–ê $@€Wœö!ö ür¶â„‡aí“[óØöü¼O·%¨}Ñ$´ÿ¨Œ¡(b)p½;y\t~²â®.1§+laý”ÚXµ‰’ÉIü" òüœæcG?a„¼ž’k17„gë[ÛÂoÛd€5¡XÖц±ÞÀR6ôßù˜•ùÞíâÃ:U¡¡KJTËK!Ί§1+ÓüÈ-=ŽªzW[5ì½Áçó¸(ý0v ºÈÀö6bJ,á3[´üe`·ó1«E@ ƒ˜S̪”8IŸþ‰Écjã´''–ìVFÀ³±ŽÏ©û‚æ|Á^µŠË“ÄOÛ3Þ†»ø»¹{Þ[G9}ë»{€T zpY–cÓ-‚;ŠE•…ÉŽµúˆÊ`g˜ü½ªÅ ‘jâ-Æèx(àwp,U‚†©“šÔ=ÿ¹ÞãLŠœ÷ Tz¼©ô½®V™2R¹¤‡?r›)ʆü—‚f/R,›ÝH€žõ`—:\Ú=øù…ð9?ÿĽã-@}WßïŽfÏÖý– ø»‚àŠ_·¸†äá5·G¤1ۘ˲eJq>M®´æg}t%Úbñ6š%œ}ìfjõ€ãy)B®ïîóu:|÷—th>^?SºjýŽ¢=³,:ÅNûñï‹*ë6e®œ 7D–ðáÿúÁu™YòÓùB­5hY†Õ:"aíët²³¶j™mèõ"@ÿ6òb;û« å¶ûZ¼]'_§+ú%$ÕL—í5*¦6Wé£UËuÂcp]|äGóÖ0bó” Ðú*" ¡Fg›EDQië*Õl€åö e!§®ã{P~1`«~3í§ŽÎdx¸®`¬†óß`#oK Bé¾2A¥íZwUNuÕ])F†x¬®ã 3B×ÌT(©hÌcg>b‰Zd4òB·]hÙ<à0zBZÐ îà°”|ÃŦ??5¼Ü1%–ÓH`ôÌ͉°SØÜ9éU9TœV®MRo`Hï¸l³ô…æ¼Õ<0'{—`éÇbdž3¤¬(¸ù4±4lø£ì^‡/xIŽ¿¬Øõ{¹?”É+«×I#ÿªäbn^ÅÙÕRœlMÔ kõ'» :Ïû}%Z ÇfëoŽÚás ÕpÑåÍ.¹‡Ò{.(€"ª½Å7ÃróððþŒ‘çuªæ‹ÅgÓ1jô*wI•ŠÖîz洲в¸‰l0ÕÖû4>' 1՛隠6d…œóŠŠ‘ðX•ÅI‘mâÿ¬pÀ·!>%rDa ñb:">ì“Ñ’ súÕ0 °ß-ï‚è¤oIŠsxâQïG—Ôä +zQ”à»­ÜŸ`ØF‡ÿbED»4X!cƒ¨ÄŽ‘9,Tf5ò,zi¬J}†\œKZ'Ðàv¸æúT·åMŽÍÀv”H#4ã$¸gy>aVoÜ·­ëÃ$\Þ³©Í÷àJ[6ü±ZVt·5yœ¶„p… â ÆW‚(wÑé¥þÊÀµ’dŸ%]©=¼pGâ¬áÇalis|„¬Î-žý1A¼Òa@4UÆjÃ×BöMeCÆ•ÇŸ%^Ð܆U\›˜È_¢¶{—%ÐÄ(eG½ æ^†*r\Ž6UöRx9Õ(F­y?ìÈ"ˆˆž9[úÀŠwï!7øë†VFì#•H;:ÕD© ó^õ˜8wñÝSBµ(·îpeS‡ž)ÌÇ×:Á¸ûƒãH§Aeþ Ô܅ߤŠpµ Sš'‘T+À߆r¹ÈuÑI—cºEIÆD<ºOrvÑ©ŸQ}W !ÀéÑ%^sBw»¾¯¨^:áøQ®±Š®Ä‹xZLJ@ánC€_ 7S‰ræ+b±Í¿)QŸ¿AÊ¢Û¢G·ë7ó]ÈHU‚d#ñ‹¦/R‹óy)fyÑ°þ»½Š E³¥÷HÔƒ³7˜Ìo,c¾|N9þ‡ÌiNl§¡I»¼ÀI”Æ©27¶u”…NSFã31_êêhs¶â<Öƒ—5IJ0F{ù n ädÂ%ÞÊ6çÄ}Dððhûƒ#„#Œ‡n7¹tLTF0/Ø¢‰ ÿ&ãÒ”+íX!¾¨Â}ÄÀ»WOy›Yê·ÒZÀÊÅ­LúÄNPçšš-h:í f‰¥Ì"ŇÚ?kç—gâ&.ê÷ßç·+ÁÄ°¹ î‹¾ ”ÒìÝIYdaÕeÎ+>ñ•óí×N‡ _Ñúü[-Ükþ_ÀSŠG„}&·o¼è_ššÈw/õÇ!rè´2%žV“ ÁÓs(À“${°`XµÓQ‚a©QŽ«T”1!¥áG—§ªTŽ™·ëî4w?E¦¯MAÒZp1„a × Æ¿±ù@ÑöÝ䥞›ŠŽÎçñÞIö¶×øö÷i“ ×'àä•ÖO£Ä[!:”eË`_ýe…Ƚ—Ä4*Ó¢fnåë>êO&³Ò0ÉÜîö¾¬ö7QûÌ|¨’>”3'&gäº4h7/ubmओÉÊAžË„oŸ ÎÝOg[GxDZe&ïý(ÿÚÒ„)E¬i’¥ø{Ñ7¢‰Ppct¸«_ÔÇö‚9ÄA8“DmE¨ðmÙÐk„¨òx‰ÑÏ-Ÿ¦äFßH‰¸…ù5PN‘ßÁÇç¶]Âo-˜4þaåÕJ¨BÑ›ÀúË­@âõ$ÔɇFó¥gQæ›UqÚµ‰½žŸo_§ÐN\W*kcUËKVX E287§üø¹§oœ~wW$„€­l¬ü÷oˆãº.ÜÐ0€ÑõÇ bµgj1Á±y°yj36å;–²óØ)Í––QD72"deO|íQj‡­M/À#úÒ- «ÅŽÊÉFÆ/EÌMT±á¾÷Ô\03'½0‰ó)Ý{qJz|³ ÞQ³É(ßy³ ~‡ÌŸMÒ½åb$Ú+ís2bøCÓ&]¿¨öøò5qâp²ˆ'?¶ ²~Æ  )•þrÛýA‘ó>!™l„è‹2m³‰ÚV9¡ªê8U65q㳸Œ¾é E}'éÕ«JƒL_Y¥7§C˜Ûœä îbÆc6ù¦zÄ”|^ûâ«í4‡‹®T¨ßfJôU°±Ž“BÒp!#Vê^¸\xpyÎiÎ:bÈÙ-fÎÒ½y™zOq^œ‡á1TC…ú² %¶Gvx™¦FŠœúRhéØñØH–yÇA©%Ý îâüùõ&Ÿ.cï‰ÿJ½f>f¥ Ghâ¬gKÒàuÝ?÷yÞö"‘ðî{뉼 ÕÌRÖ×så§Y±¹¶l=ú0ðß»Š×fÔŸN\ŸÙ"'ʻĥÕýÆu¸;l‹x!ÂOã!Hb€'c'¼õîúÓgA«òA©£i‡ñVœߎÈ2ê¦>Î@'- × üQ—¤òÛ´ÜÅÖÙ•*Öæj>ØÉà¯á¸¬F?4C>–,=FË `’w’e¿]?Œ—%¾v‰¤ç˜77p}„€“݉W7÷çûJQ×Ë°j^Ž»ýDƒ“Uú½‡æõ»+Õy˜Ä€gÒ¯KS,œ#œÚõ ŒUyÝ{­vg XXjóÝ ]ŸK†9õɃƜ1é¼·d™³âH€Àg‰¡c5˜dÒû¢á*S‹;¸R鮩ÙO! ጂí¼[EÛ‚/‘6Ùæ¢U!êjýHH9°7*Þ€$=tÒ£L©^ÙÖË´¾>íV©—=÷8Y7xµºIU^hä;ß\¶ÌÁ826•wag˜Cw­zî¬ËÐaÆuƒ0ØU>#’Éä cëP",Tàìߘô!äâB]ñòe˜¶£@öÔnl÷ /}:¤%àòðPR9vF=OšÐô|Ͷ=\bu_¸‰°”!‰©tr‰šL0ª[âwÄý®)xmÓ”<ªî§a걶Â.W7u`½zÌtÄxÔý Jý›)»plþþ¥±Æ¸Á]»Æ<ºÂ"¹Jçåy:• s½†\¦Èª#zÉa͹{ϺZIï˜<3ƒG=qÉø• #‡•ÌXó¸b[Ø9½9»‚·Wª±ZÆú›eYãrT¿Ã¨Óíó%åJÞÉ AA#éuUä­Wýƒ•Ê·&ó[ßÍtÃZm–胭Épï(¨I¯]ai“%åûB;Sªuä•L´«¦;ؘ¡j™´èÈÕëÏažÊF«73„ŠÏµ/ I( GÃîý™¢B­¯Ñ‰röã|:_b˜&K^€¼ÚªG7_hCJ•uò­ïÍû&ŠcÞ00ƒ¦°“Œ B:HËô¿Ï_Ô´o, ÂÒì<ûᾞ8þ>Yºô®âáiBQ‡’QèRóDZýl|a$Y-ö©ú”œƒœÍY¶­¥ZÚ¼®MêL^ Gt>Ó¡ÁˆA& •®¿AÀ_4ÁÎ&†óS¶­Y"útˆ3ùo Nt23…$—<.\û úú¯C£k 3Ѧ¼Ø;(ˆKëM8— —(âxRçSL¤nªøݘHôƒefö_ýløhœPFû¥ëqOÛò3ÛÍðæhL|ðC|{Ñôh›Œd-¸è\MÅH«pÒr^9SQ#ú:m“ö!>c©îqFÇ ûò„}R]áÉSÊ/d\ÝéËT³SfWóÉU˳a)#•…/2–pµÕû4ò›˜Y«áû²VÌsò^òU>óy©K(†§0Œý êC1 [RgZêöwþ0§)0A&WWœpµpO«¿XQ’‹Õ’i|Œ3ýF<Öùéõá+eM‚¢Çك̤Ï7û²—!ó$Ÿ”H=µkºÏ³á8 6¶švª]¢imŠêâ¡!Âú5ÊÇ_í`œòG¾î3 X,ÿ­¬J"ÊæÃMBw †„«jèn³B¢BjcvÑ–—ÁÌ^CŽàíO™µ+!ÖË!|¹zaétlcü*»R6@“v­´HîÄrä6ùé™×B:Ç£ÔG<÷”þVÎÿ‡€p ·4Ø…ScUJr«HÿÎh§Ì¿Ee½ŽI}=ßäZÎÆçY}çtïìµ¹f‚bSÕ,oê>ÌõáF÷½ú?k.Î¥I>FSŒ®¼\ºzŽ›±·G®] Qž~ ÊêòóÆ™gËe'0W /t£ ‘É·S¬¹Ò™×Î6†p]úmò­´¾C‰B¨‘‹˜¶E €öÛKEÿ m4“î@~JCÀÀÿ¨Ð4b•µ¦'?L·þ„a7»Õ?8ñ®áÉv¡’CgZŠoÅñôqÊ@Aß])ê)b;<|¸ÚÇÁ#pŽƒãº©‚óó…1¶˜í1)!b¹Û¾´Jd±{q3Y,-™•¿-j{¡ÎQ¼ésÏsós¸¿J¦·]èn˜,Šòäñ½ŒñÞN)XX§Þ½èNG®kWVSh²ö†ÌòÍ#£06ÉÇÈÁÊŸ£Û00%Î hNHù(ø¾6üé­R–ÛSÜH‡­*F¢ª[³dËÔÉJ]bf{ˆÓ÷q\âÎ&•~³z.Ù+:‡»¦°tÊÃ(™îÒ:´K©¹ܨ/hí™l”#ȉX¼½Ð{Äà܆frp}2”ï¤×RV¬y¬}õêÞe>4 ½×¨}bâ=­6ã8ï1 Õí œ Wõå/\†·”ç$-:ʼäØ*u>òúÊLûJfrŽM0FºZïÔŒ-ð%žõÛ¬A«>¦7Gü Š³(_*FogŸÉÓ'72pá2UOk({3#C¡„7ìñ—|A8.†+¼eÌмLŒ‚Æ[?œ“Œ¨x=ã d˜ëtqnÝÕÏ+ßù]qn^¬>ZÉ]D]åTOuœÏÞóã‰>"<|ØJ@ ö¿Šê Q’ßø5ã]š>Ëò÷™û{¥ÏW7ш÷µ'Úw õkQhHEyCÖw‰”ñ¶ƒV:¢ðP ‹# P"ZŒÝÖq˜=|o¨ÄþDœñÈG‰rW„É2aÆ…%¯ÅßÙ¤Q‡‹cæOM䦖1âýÛH¢$„T/9ÌÆÅ\ƒá#ÛdFß’„=™µE[¦÷³D`ÖÒ;™‚ðvue ÑÖxã,¢ªâk;wNÓ$ší4óL Ñ_œ„ãpíÐkvªomgQÈ°ùèIíjÒʦ6q0µ–‹ZÎ÷pK ‘;y/åEšáFH冣0w!nÆÿ¨ Yü6ÛÓgœyh%ÙWA:XA[ÄS?4›ýK2DaˆfZo…Þ&Eo¥AçÊläŒ 7‡`ìÖ*#ª´ëȴ̵ˆød¨Kxûó‰šÖ%L4tú˜§þM®¹”H“Vkq„-M!^Ù'Së¶ÚÍÓ«qzÐÓÓHAóuûÎ- ~;ÙDž×ºô-$5sy`Õür)Ed¤ãlkoÀA̳¡’·liÕDC.Í¿-ó4WœúàC}º2ø&êœØ]Iü˜þC#"3\e×êâÏx±ÑLî5+#A÷t|æõƒ¥¹,åÓ@äÙ|`^(Y¸û¯¹¬­†¶,á³ZEFËž Ñ·,8ÿÁì¬cÙ®EfE4¿¯ìàέ…cì ûÝÔøYKXF(õD«zPôƒÚŠ0Š4PÐw~ˆ%µO\.©Ž¹ºQMùŒ¨ö[â+›ÚÄ-*a©¦ÅíŽlû†yqŽX­7™§Àí)ÿ2õJÀ*eOàGRè«þ¦°ç±³½œÒÈŸqö 5·‚ú?iöúkÆ«£1– ±kw³éU…·¤°s´&;ê=§Q®Ä3ÀöŠd£2-`Élg-šüú*ÀE²(™3ë±´Ó3¤+ Ã×™Dã˜æ>×ųÀÙDEÌv¦+÷fìmtAL‹·~|v]8w+"N¥~ßn¶¥se©-6Kv‹×Ä"ˆQX6=-ƒÉqf¢>àÈñhûÝ;q õñ§PÔRçÇ_ 3ÂÔ5æ· å[dkbfˆ1?9ûظЋç‰©øÁ µ“oçEë°A|ÃÁáîÐÅx˜ O™§X‰´tq0X ÃwÞö˜½!øÙø>­m­i*Z!ÅRùì+¬ƒŸ5åqƒ øCÍÇ«G5´ìYM¼¼“Œ%“ÆƼ9«%·Å÷™ÜÜáÃ@3…ú€ú½ø¤9q>éíÚܨ‹\zgÑw÷¬V˜¼%·Ú|¿+‡›fÏ¥öÌ}SÖàxý±+õ+ÝÌÕQ-8¸r¢î%ê«Ùp€rËò§x]¢s’¡hLW*³`›¼ ÉØï@x¬—¶_ÖFÚôY„,â×i[QUæ$h´”røe¤ŠòÒ à²gž"w7ÏKÞ×. tO27•õ ëLjU:3šÔTõl”¬rÃfûJŸ úx×¥$'(ô|¤…VÕhNÊ ‡ÝXƒÌï2ÂôzqÉ܈ ìò4ÚVÊ©c˜-!­ô`¸žg|ÈAEHP%û¹¿òid‘¨ß –ÂÔšÒ>׿ò·ÐÙ¼ÄÊ|Õ›¡`]-@Οn¥r?Óo™pp0ys#cŽEö”~ñZ¯0É›ž¡$=·¦ ½ÿw͵ðÊm®â‚r±´ÚŠöŽ gÎmÚàO²FIP Pý–´Ì;r;ø¹ª‡\˜o¨ Â*ÉíHXž&‚4Çjk82%jŽJ̓$FCÁýÜ¡ÐAúDò©·'ÝQtÜ2*Ž’ÄÖÄg@*hY/ õyL­JøÉOÝUŸŽ9®^ú«P*MÆE¿¸+¦‰ BS­F‡ç<ÁS|(e¾ Ë”áZ¼|73J Dú Š"3ä9NÙåîU0/WØÞ Œ~„#„ª¢IP6ídnQ‰Ùkið°£X¢íUµÌ H†ÍÄ5³ý|¢&bîÅ‚ÈQ¬øvh¾D¢-m×ÇZtãê=5ãýSŒnñ|_d±M“â^ÃdDú0•|îAB{ý·I“ñÔÛx-ÐcŸ,w9-"ºbÃ#Òr¿Ävš½‘/4urï¹Øçn\Z.Ÿ<°,Ù˜˜^Wì’ññ]YÕ^*¿òñULúîÏ{b„© {•XˆB²}ØnÙFÑšK®®:Â’ÿ*Ðj'û5¶D÷ó6–=Öš{žqĨ Á…€ÎÉÃx}ƒSáôÁùÚJ>ï‚å¡áƒDî8s%žCÒË÷MYJÊ'¹ÌE\(‚¹F‹ÊÞ|RjŽß\”i4ÅÁ½!ßêùàV•¥7>1™íi¹{›~[˜æäxãUFb\óé_‹¡b«I®ôˆmoŒ"ˆ!zx—ÕÒkØF¤Q‹>bæž5œVÕ[ÅqÝä5]LêkØEÙ➉­KVnøñ0‚Üw¤Ü©ò«o 8ç ­+DE¸ÐrÉ”‰r-=vð„ùXŒ9Ä“Ò ¤n#@üKƒ bñ㤠·©"Ãþt$¸K(zö‡ÿ&»µY‰ "²¬Åt¿)7m‡R"›ã̦’ë;4Ü {þÕð#ÏÚÑ ÈãßÏ¢±¥fÜÚñT8ÒêÕñ¬Aêh:73Bˆ¶?[ñºŸxæ’ÐJ Ø¡2«5˜ "ÔœÄë|Žó;5Ó~"2ÇÈæ¾ÂaZ-R ¾Ð¬† ‡§*„Ã#9aÝ3U)e¹”a‰Øâò}¯°ß+N^g¾"Ùí&£tN/íTµl‹‡W»¨óÇß°8ɨҌ¥j ycp¼ØÆAzóÌEQà‰º-”I¦<6!ûĺužÛ™©šõüœ3½¨t‘Æ×’e¾¯Nš¿ûv«RñR '¬pŸ¼Éˆé,+ë²ÉQê í3r¬‚¹ü×fãøC„¢$MŒK#±ÎÄh«d£ö³cÒ§£Gk3,[í¨Œ0e«¶RN3Ôº¾l;¡JÖ(õ†p–^õêœù®Ó ”y+ƒò¢3´ÄQ¢U“~;¡ÆÞ50¦¥±mÊð¡ù&&^í7ùñµ¬' Â.ð|­Ü¤÷¢?qRŠÎòL¤7 º\eÊé§È7Š÷mÒ›p Ñ&á z<$+ÕpQ(õ5j0€{^[4*ûß°\‘Ñ:ëck g£ÍkŸ•Nfù Ý{_Kj-|À"_:‰.3Ù†¾1ÇŠðÄeUãÇ4’XW\0ë"m.ÛN;¾q(•ûqn5íhÎ=UÄ\@o;gB4¯}%=Rãò!WukÝOxµõ@¿¡À–$ Ó57áÐÿ{9¯ç³û™-u™Ö"Öcé µ†ˆÍb©VµIû³èSCòóŽžÙæ• œ¤¤ œ;Ùª©*Žx`}Ž¬…>øÖålTæG‘€âª&5iÓH=Ð&<¸us£ŠXî*CßSÁ½éÙÆnN– «­¦¸¡×ºËØ%(2®VL©‚›WÙ¸OþÑž#î2Ùœ(4q-sôg†Öò â,‚:‡BèèqlÂ=×u>öU9¤XŽOVÒN•«Ts±®•Æ’ýj¦>.ieµöNxœTË´…[AVl·XtjKâúpMYŽa°ëܸðC™­#¬1a?=îü Ö>Ì^èH@´Þ‹zU1…sÈŽ–…”´KícŸ%Clüó3ùËÝK œÍž½n»m$ÓåM\š™$å÷îI¡ñ\~³@!ž„ôNÉt‰Ê‡ÄaÏ'Mþ^ø°sæ dó;H8M9AðìFë.»¶¡• ‹xêh³)ìãÜEn™áUF¤Š#E€Ý·z§ÜfОEŠ•µ«KÍôRÕ×ëžµ ?^’º8Ïy2Ž©…­BCc|?bŸ‚Âù9µ´‘ÙgÇO ^:ÇN.Ëq®>ò©â¥{ã¿p1Ã,FEº}Zfl²g6énC1"^ÅÈ vEm,É)-+.?|¸ŠÜ:¨œ‹*Ñ»{†ÓwT‰Õî#Á ð&ÙÛ<åw^^ÖtqÀsÝÑ’ÅDÙe·y¹ŽCYêïÁÒWL:ª éR|ÞÀÞ~R¯ŠñÒðø=™Ë|Ý$¹ˆlg p‡Ú…ˆ ”:R}ÖË1óJ!zÍF•0F{Q¹ôC‚;**}]ŽÚMijm e‚é¼A.]cb’±<~èëøFb-éÀçØÏ’R×ãçêÜ·¯SNñ›³Qâ-7Ž¨|v•KþÁªoÇy¹Oò«½Ž{Uó5úOßc%÷Ǥ”¸[˜jWe õ1THa~?Çwcä ™‘ LdSméî‡çoÛo¾?ýCÙCñ‰wK”;óVa“5‡–Œ/ÓWôW¼êoHäî·bѧÇ/䯅W7ÍZ›&©²ô2SQT$3‰aY§7ÌTUgù,‹ˆƒKž¢Rr~:]öžÕ™LíÉdé`1b„U.àQHœ4Ðò—G `&yCÙ(½Hï™/à÷Þ Û„·ÇVÜ™™.èƒkR÷¤ ¸Ó%ȦÕzêšúÚ99y$²2è D¹ØÊv–f‚Ìõ:ñô¹©°Rñ8Wñ R„íBXº_÷Ö”÷[áUž‡µP|”/—GÓ¨ w4¼SᮊÖÑŠåÑ)öêÔïŸ$Ò§i‹uí¶¼ J©ß×ÎÞ„]"K™÷Ñ™Zòòn0:œÃ6|—ò,]½È1;¦#µr¼G5y‰h˜0>MW‰Þ´Å»d³¡/ æS‹q&L3“ª œšo,<Âiž´ ,îößeËDv…œÍu }¡.ù!ͦPÙφä¿[´¾­2Ù|dPvs–SÝž&qEس÷H:Œ oše®gX©gàÛ¶Ky(’Cð©wtm1®ÖéNžÃ8ø2ÙDi×NTKÂu¿ü¸þ /LA'€&Rä*ÜK"Yω)1¾à¼ˆêéØö¡Z°úaåÐK3ZMx¾À}Û.& æ`Ç`¯]‚k£‘:^Y©³š)ùÄ2pyñ .žÿÐÞ½þ€¥ï·­ÛÛGlsÁ$'ŽzqñkÄHܬÕ+~ ~B*| g•I šª| ûùD@™Ìèpð$8òÔRŸ™§IÙ%ñK„+ÿ@uÏFµAOh¿ð”Ç`õ.HsŸc°g(O¬®ªˆ5XN.Dš){øÛš5Ü­/:±ÉàTé‹ñì‡8h1;C¹'Ï×»^2Oœ‘sÝÁ„šú¦²¶NÅ ß~Zg&% gÁ¹/ ‘Ù.3uCðƵ†²¥¶F•ˆ&Íø“l¥™¹o#$Fåïuú9|>ñúQ z’ŠÑ¾¬ å¿Êî3Û%µgptdšKï~‹4KxÖ—:x øOu@=š9L‚…¤åZ…»„~¡yxEâäÑd{U—¶¥*‚ë šHSW“'åºW»só…6•%(ï)òpêœÂ>$g>ìÚ["‡6œ‰÷‹Þﲌš8ôRƒÔ ¬rü^™²¢i‚W‰ôËJ±du*±"7Å`œZR”€‰œÁ×ùÇ/§îÏHC’èµ);7þNy‘—$»ÇZK\’)ëž#wH›çÎlÜhX]7›OF߶¡…,Å—Ü"ïYaçdËfû- éprÇÔ…)·UõZ%k3Ký H„’ƒxãÏŠ"c¯ýœÖñtBR¶©®V âÓG ÍKsŠ2§.¿ §37‰Ü%9^}µå*ããüø¦š[—ŠÊŽ%H™„±xg0N™ Ý°eµ®–öÌš+‰^5) mQ±/zD6Ù¿ÞæDUGýË“vø*\Ó/_È­›MŽÏèº$g×tÌ*Ⱦ ì1oï7~Kø¬Ø‚d¤E…:N "0CŒ"Î’4Œã–K#®Ë#¸Áè;Ùa¸õdï‘Æä©“r‡4ÿ7üEz³.à\Ú<5Ü*ú@ÝJ¿•sYwŠŽ`'B–[í¸;zeà7Ç -ÿ²ï»‡¹Ûz‰Dc¤ó¶È©ˆTF¨Ûó#ëdÔzJ;‚DL4W”öìß <—ïKF[4N(šgÎë5™§oˆd Ò5Ïæc^Én%ÆòbitJÅ4Ë–òG¡b€‡ì˜õ`¸CŠf¥ÈO0ÍHdìð\-[LJÎk‡Ë¡Õd^ç_êcE‡ÝMMTªÄFÒײc¸¤%XlHɶ°W'÷ÝOx~ÿ°M=rHþƒ9» |=\$?K#ÜÖÏ«2ã#oÃ/“¶$è(Ø$»ƒPS¿~˜ˆõî×Ùõ2TñÑû?°RO"ÚQãÈé ‰åóòÝ‹ÜÔZ¥²W/ë•o:êK)±B:¶EàÏܧ*»RØh?:4âm½+!'i4Wa _•ý×ÀûG 18õ×—±×)»on½‰VR!€¸¼M(êŽ)y!"^}l*¡„òc„ž²ŽriÜDPx‘¤[GÓBz+¿ç7Sÿj¦é= / SÏå¬(†«÷[¹ ;˜ò³#‡c~"¿-íl)4¶¤|¤ÀÙ§û:5°"—1¸Ojeˆ[Cª6 Zª‚åW`Ù(zØ*Aˆ§È‡ŒÇóéÀk0âƒÜ‘|£Ôº›pb4ÀñÿŠÁ4Ö;hÁ[ó…R†´>Šú+Œa"£ƒ•OA0#K"6å…´m«[3j2NˆÀø¼Æ³Tµ35€´l­¼¼èzqi8vãYŒ¸ûšˆAÌ~Ä5r‹£H3Hj׆j.¼6& ÞêRÆB>Ä0gºõÜ||A9%w¿P´%xœ”ó ü2K»+÷PSf$·Irì¨~ƒŠ‚*_‚p™jσ™Ò|5¢O—#±ÛoþmÏ!Q 7ÆPþ-‚îÕ3ß KÜrÑ×)…\fw´B~ý`ãS=ÓÁ ¨•yëh;nÂÖj8¬FÏb’@"¹l•§xóýlS&-Z²ÿ0Ðp•›ÌÑó'¬äÚÏ ÍêfqXÅp×îp—€û•B‹ê‡íìŠSоznͧúiY¯=›\›·"‰‰‰OswÄÉDk¿ž.*x…û ù ë8¶¾S .«´ ñGSÕ4"öpd$2Ñ…]¶˜z! ]#¹A¸ˆïv܈àY9wˆ‡‰{z›Õ@îIøÖr/¾Ð³Ñì¢L¾=LY ÌðØí-l("?{Û/Ú "K( õvêuãyêA;ú_C‚­#}øúIøD|¹“».—`=HƒÏž Ù·‚MIr!›õ\©+³Æ¸ê™õ%;T´h£„7üÁúiîêyÜèŸ s=÷%_˜¥ èB‚’à||'p.¡Ùþ¹5Î┧ôpÃñZ%H¢qƒWÑI“í1%Ú€ºüi·©§? Îw_]¬&¥³ÕÓH†Ò¨,3¥H í Ëô ¶:ø)vÙ²Á IE$`³Ï\¯ÐˉwçÓH&¸ŽóL‰Ô=÷D`#z¼ ÃDh#ؤ¢ÅÅïýcEvOõd,\ÝŠIÕ2©ÖkVËGÙhµŠžˆ;ŸœùóömŒˆ¶Mšüq¦«‚}¦b|$á´¥ûï~Ðýò½l¯[‚ Âè£s¾´cêYåé¸fÐkœ¡iªÛÅ…õÏVð§ˆP¨N!} -É“‹/cÒ9“í·ð;äêÈ›^ë4áN½†Z‹-–ö ‘ÜÔÔ£%Gà iZÖ"×n&tŒÏ9käÝÖË€[»åáP•œm‡özµkJS‹]çâ¹õ~7§Z½uv™í'¬~U–Wü ²h‚½-ùØûƒ9­&.õÓDKÉnu!¿éǪ®+¼›£Ò $íS}[ ¤û¹àn#õS9Ò9†§[Ðj)ûº¼œ Áê—·Ê4Š®±tÄ®†¶p8ñÁÆ—ÊžÐ[Dºœ«ƒUR…¬˜F Ä)¸{q¬‚Èቀ¶f±Ã¥,ÛƒAž jòdW×A8Ý öo„CÌ"sšÃzøÅÏS§‰¿òFl$9óo ]R~­a”Cwâµ½zjMÙZ/=³áG¯Æ-…µ(èÞ|­’¼~ùüyb6ö!U£Ë¢¾QQUóY: ¬‡&CObú‘C$u37F—v{_/+ÛÑE‹Ë‹'©-7s«.2lù6¸Ësñ´jøRæBý r}©¾tˆ®ÝLD>«µ/Ji°ù!+ð :—ßÀWúâÙOÂ*¿£’0Ññ›o ¥°íã½òv¢d&Ì] <Õ„~g$i—<à}-6 “p4(¾Ä!ÛúøŽ*cU¬9'‚šrc·ñêãÏ}{ŠØÚªé+ˆ·?°æÚÅô¥RÑÔ)~T$qÑ»ñ“_±ä^±Îµ—á¯Fe8¨6¢ÛÏ?þ>ŸÐƒ4ÓÔw9Ï$“éö–þš9/]OƱP!%„•àk­Î^µ ’¶@ËvÚ±ŒC zšÝq¬k^ωAá² q}KÒn“ùÒ(¤‹<Θ îaµé(V“³Îc«–}^þÜa ™3ÊK“™ó¦ñùª.(th9¨®ªë~Ê3dˆL‹™mV\³ ×ãj3öËE°)}þJe¢m¢&Ãæƹ±ÆBà´î:èÿË» endstream endobj 183 0 obj << /Type /FontDescriptor /FontName /KJYIAK+CMBX10 /Flags 4 /FontBBox [-56 -250 1164 750] /Ascent 694 /CapHeight 686 /Descent -194 /ItalicAngle 0 /StemV 114 /XHeight 444 /CharSet (/B/F/I/O/P/S/a/b/c/d/e/endash/f/fi/five/four/g/h/i/k/l/m/n/nine/o/one/p/r/s/t/three/two/u/zero) /FontFile 182 0 R >> endobj 184 0 obj << /Length1 2055 /Length2 13593 /Length3 0 /Length 14845 /Filter /FlateDecode >> stream xÚõT\ÛÒ C @p »;A‚»»Ó@4w—Á%¸†àÜ-¸;ÁÝÝ]çÜsOr¿ÿã½ÑcìÞ³jV­5kU­MA¢¨Â dbc·80°02óDä„5YXÌÌlŒÌ̬ˆª`+Ðíˆê ;{° „÷†ˆèðb:¼ål iG+ €…“—…‹—™ÀÊÌÌó_¢/@è6È1¤m {D ;°™¹ÃË:ÿ}PÓXxx¸èÿYƒìÀÆ@@è`²~YÑhP±1ƒ\ÿ'5Ÿ¹ƒƒ-/“³³3#ÐÚžÑÆÎL€†à v0(ƒìAvN À_’ò@kÐ?Ò)ªæ`ûÿ8TlLœv À‹Á l ‚Ø¿„8BL@v€—Õ*R²[ä?dÙÿèÿÀÂÈòoº¢ÿJ†ü 46¶±¶B\Á3€)Ø P—etpq !&Vö6/ñ@' Ø hôBø{ë@€¸ø¢ð}öÆv`[{F{°Õ_™þJóRf1ˆ‰ˆµ5â`ø×þDÁv ã—º»2ýs¸–gˆû‘)bbú— G[&5ø“#HJô΋ ñ·Í äà`ffæâä€>@.ÆæL- êj úÛÉò—ùEƒ§»­-ÀôEÈl zùCt·:vŽ O÷?ÿ‹YX&`c€È AüýÅ 2ý~9;° @‡ù¥ýXÌýþ}Ó{é0ˆ•ëoúßG̤ª¡¡&¡D÷äÂÂ6.w6+ €……ÀÅÁ ðüß<ÿVà¿êÿ¶*ÁÿìŽùwF)ˆ© €ç?"^ª÷_!Nÿtõ?cCøßäm^ú þÝþºÌÌÆ/–ÿÏCðwÈÿ¿Þÿ+Ëÿkûÿ߉;ZYýí§þáÿÇ´[¹þÃxégG‡—Ù³y™Èÿ¥j€þ3ÐÂ6V&ÿ×'å|™!ˆ™Õ¿eÛ‹ƒ]@&Š`cóÿ4ÑOá%¹R´±ÿuáX˜™ÿïeæŒ-_.û—³úÛz©ÿ]R blcò×ì±rp€vv@WDæ—cåำ¼ © ÈåïÞ01Bl^B/â<¦6vˆ('€Iè/Ó'€Iø7â0‰ü‹¸˜Lâ¿€Iê7zaÊýFÜ&ù߈À¤ð/â~É¢ø½dQùØ_Zû_Äó’ø½ä4ú^rÿ‹þª“ÉÀú²˜Lÿø_ø2,/Ðé7ã/¿£Ýñ/³?àË.Íÿ…ì/õ3wµ5¹=3^là?à‹Ë?à‹«?à‹ëßåEÊ©^n&›ß‹½p_¾1¸_6kûÛýkûrÍC¬@¦¿­,ÿXÿ3‰ÿš_ŽÚöeþlþ(ÜËWŽéÓðEéu`y‘eÿ|Ið;ÝËd39˜Ûþ(äËnœmþx©ƒãð¥NÀmÎœÒK´ËßðÚÝØÑîE‰ÃßÒË,üÿýÝ\@ƈ³Ó6Æ,*šn~83lóOPlj$Ò0¸ÏÚ5;Þ¡ÀÇÓ”¥ú-Û] Å÷ýD[X£¾ü8Güè¾__Ü«Ôxïñ`­<¶Ùˆ83ŠÝ=òm_¨²‹è !ƒêÇ-ÇOê¾–0õЭÒ™Ÿ¹Q³1nœ;%\*» 烦7•¶Ê8e ÇÂÕ¾èúæMRd¥Má’Â90!ТŸ¸ N^^M gŒ<KGÓ!z„³åºk¯°FÜN¹-«²Ú·á‘ãiãÁ\¢ŽQº ï$HãürÏÿ)öÝ”HºV ø‰½œ¤u–¯p`duw×ÀW¤u},(ÒXiB¸o×J%£=³’+oü‘Å Ñ^©eûÛ-¬d2ÕÎ_°ÛÒáP‘58©#Æê}À%µ \ËNðNÂ/μìî.¯qªª˜gïÑ3¬FY:íî@—·‡-¯¸nN=GF$ é:ªZ‡ª£P„}dÀ~s’Œp†‡é½Ý¥èÏ–Ðác¯d,Ë—¥[ÝPž;äÓ÷ýçôù¶n?"¿ZùõIuÓ1`ƤP4‘lÁ+Ýy= sJƪ’ýC'n¿+MØ]p°XÚÏ& ‚«,ü–’M…_lv‘w­HÄ;\5V0þiפLØ$ÆcLªpô(PRßù³jiшLTô˜%­ˆM#6§-„qpô¼Uš›óWé$_¢*ž\ßiµ@€.5^±¼_Vzòš?YŠ@­¶Eû•yv_5]¢Ú“sÙóé:âCyÔFÇèšîª†<£H.µú¸î±üÖafóÏ:¶w(°“B‚gVhöírAŠµ×…H-®¦*®ù«Ó­F+ï†: y‰l#º¯×z£~È;ÚMÓÈò;šDLù÷ŠÏf5´+N†éçyâÖÖöµM"n0仩ÑÍ¿g+ÞöºZ—ÌuÆñwÛTâ}5ÕßHŒ2½:Ä7†eìÒPˆã„ûµŸ:ÙO›/”s&™Cf~2¹z‚ÎíáDs34M›·Vql(ï¯2Ì>ãlhlá·Y\RêS¾°Ó›™Ïõ)Êzo«Sy:aµµSˆ¬=Œql‚Ë£|ûü¤t­ƒä¡‚¼ Iq{›‡ÈW™x̺x¦²È)v¯g¦_Ç7ù*t>{!Ì-F¤”´¡BÃ|€ î§šÛ"öýÚnZîÿö)×Xã«¿hbÏ#^>7´ÿr7µ.j~@Ã0FöëÎÙñÖärÛŒX’QR¢…sžÊ/Ê~.í3Ï‚Ô…(=º}7P ®:¼NRÿ|8ëj†Úåõ¶öï˜ä³qê¢Ú e í¥I“s2 ¶ÕeÈGÙu5Y^ªŽ×¹'Ó û•,XÑÅ$·¾„^ÀJ.öoþÛ°_vÆ[»àéùè ÕÅqŒ·ØºØ~ àõp[v!™ÀÂY5bm A¢–É›Õ~µWòm=o'[yO²òt’ȇ2LxGÁÆXÓI"÷r¬†ƒv¥²‘ç¼9¸•ßzïVJZ†¼VžŒ3ÑɾÉ_ Á 1å1PÜ+óDÿVpU";³•ˆ_“¿‰ÀÛDÄíz¥†@'{{‹gù™O€^Ò«T¿¨ZM Ìëú’Íkœ‰ Lƒº‘É`¸¯¬7MQÖÉà­Ûá4(»òø‚ƒ‹.í¢£Á%Á‘ˆ!î5Emhë(82k¨âÅXrþg΂è¸[žïNüæbmšÔÝ®QAò7‰ðÔ<øyÛ8&Ó|ÙKšì…°$‘'Èš")p?ÄÞK_EµÔ¢éÎLêifaâ6$¼¯*My˜µ¢­›$àÕ"¬f ´í㺊¯“m¸¯ê™ÑNïñªì±º¼½,Eo4Ibù6ÄËä{0#¡ÇìAl^ð ÏBQ¦;çaSw´Ä+…[MïK”V׬½å‚"ù@ü ÚõÝêVÑéÛqéªxo¡}X¸7[N×Lv£Ss©þÚDŠh4ì?L§él5 >;x8t"•µÉùÌ3E–œ›‰OïÙ…0âœÍZ½%oÙÀbž~Õ:¨¹Ön×ñÊX7äD0:b™ìî¶nÊL·»( o}óR°[Õ±Öæ±… Ó3ª¦:ŸmO)µyŒiÓ"ÌŽ„jÙ×DÍ”…›óôBcoœHéØ+É—rÆë¿%ò“•‚>ÊÐj¼j )sxmÐÇ Ý׃dD4œœs®myR`œUÙ)à"X½d»ió=­^BÖgV!×\àûÒPàÈÎȘ*°¢.–ú®­¨å'«Ô¢Êª@ÏÍvÞ_Α•‹ê]¿¨ZZa 4P­THN /ñŒù1ÄÑܶÞ;–#¶9ÒaZU™\n°WïÖ¹ËÚÇbߨJÃéðÂ; ã?n}Ô‘¿ “âmxûC||$kzn*>É”'ˆ”5gƒ66œ„§ ù{ òõª ò¯KGªcç´Ç²¯®¾Pâ{‰K¶U¬ï1ëc;=¥h—ªp„EF\“ ú a›Ø¿¢?ð®Å—‰mgªë°ÔŒ«ŸÜÑû“Ë؈3›Eñðž3–LÙ%ô‹-c¨Ý·;†x’ªŸ–ô@Òµ3FøñƾS‚Xåƒæ}×ötèÃÙÞ¡wÝÕö)éÝ*8i;Dô@‡|W0tùéØ ÝS=EÕ™8ÞƒZnFîRe¶œçÌ|~/[†¨e¯¹a¸n†£‰Àòé‡kp½AËQ¢¸ÁX’±å¥|ÊdØ 1Ä0ûÎéÖ krü|RÌ9Ùá[ÎÛ1÷§c„‡¢íµÒ]q§Kµ "¤V«#D X³ªI´Ã@ N¯\t¤I¬Ò˜}K+‘ŠcWÔ† Â'bšQ HÆ”xª¦Z’k‰wæä¶×¹ö§æÂ9b°Tv /ù÷ ‘ÕZÿÂ.½ûÂíš bp4´»vJ‚:Ô¤žõfˆ¯úTôœÂ}¬¯Oéeø©ñŒ‚á•´Zw¦ŽéUM®I&Fü@ã`ì0_µ×Ÿé¯Í¹Ž¹å²ÙGö߸íðð®V®Z ÛQ×™äZTëÿãb„uLù#“»é¾’È©g‘IBï¯+¯™u»Ê]’2öÆÇŒ±¨ËÆ/¦Š96µ‡>­rtúTô‰(GœLóîæ3C}Ç}L!cÉ{ƒÛ•*žãO‡ÒÁnHcöA¡S5¡«Ó8oò—*½ÜRdÝ? éB)›“Ó„ñºÉ«HË.ºZè§wÆõÄUCGu¾§Wõ•Ñ†ºSd†ôƒ“VÄö¢ðâY£ìÈ]rj_Ó&Eð‡m¡iÖäØ&à7‡‘÷Ê£ÍTP„³À®M;Á±,˜9 nû°sVrùJ^Ecï“o~«‡vÈ?s=۪ܼ<¥'?ç9M-”—@¯ó›0IaŽ¼ 4Vèñ6Õ/!Æ+Ë6w>ÅÞŸ_7É™Œ²×)Œ•«|ƒV!M$¯iý×Ï’³x01¹C‰äQ TÓö’Yj‰)haAßäõ)ó¥<.o螧™ ªI‘x‘ £LpTàOJŠ~r–ª9_*Šýº÷&=9Ûçìàë&ÎDÓ! taÆ„z·þˆ”t©íîîÞq±DÌ€‹|È=ÐCU£ý¦ª}ÈHafòÖ«Ñ;Êh}GFc²h_-Ó-è ú*;¬_>-(ûŠ^ 0 :¿Ù~e%Pó°]²j¼žÔKÇd%œ9æ… ãxÍ°•‰Ô"›ª…¡aÜh9Š±‚óEÐû§:½‰´.ù‡ïÅ„ªÊm˜rÜí¢Þu£²öZî!¢UdìH7þ¢îÀ]‹µä\4“þ ª¡!1ä*ÛØMdàÄû«‘w8Ð,Ó&((ý@11”vÒÖï|:{}Åž°\>\3 IÛ>–L¬R5–!T%yÎ0F|ƒÂñèW=´Ö¢‘J[­ÚÄÝg é±®R·ry1¨èü­ö s´?}úøÃ;S$ìÇ= 'ޜǙÞN…kOûMÝàæ–û…A%aèKs[¥5é´Q_&.ˆ¯F¥RVÉ02;ìÒçF¡™ž\NMžsÅÃEXA’åœ75ùR‘<úÞ¶ÞdÕ,9ã²’5öóz Œ6q.eýb—¼ý‘;iiwê%%‘k}1yšìTRfDÿS'Ù¥ÐÏwµM+ðcm⊡,NmÕ1Û¯a®—H¤—&ÁVb‹2™Ä†z§ƒ^¨è’ÉÛ–*’7ÓÌ>k´¾ŽË°ónF8?üìÙi~¯ý‘QCq>†g†uÖ‹¯¦Ii>ô™3jF¡eûüneRc˜µ\÷& ÅM¢ìð–Ï.z|t5m6Py&¸g43¼Âæ”ØF|ìÝŽÿÐk¢yUyQ¯)æ Užz¸Ò@o4ØÉ°²R*Àà|„ÛäøƈóUFá³M&=hÃ<-®ÉS`/)Áé;ã.ú‡u¸§PŠ•|áͶä †ìœ& ç—×JyäÆ#fxMÍ¥”™Ê€-]r‘GníÖÕu¤ ¶»ÙJ/ëCKDå†\ïÚu»FÉò}û„¹¹í¼ÍâBÆ×zOíz8Ù|$5Xæ4ƒ€SI¬B«… ¶yß~å`·n”.&\Þ±¿Öc^cýŽÉX°îy+§MxâaÙäLÛN=¾ØOn(‰)´q Óª<×>\š:™ÈhaÐð»&èTœÒBù÷—ÒLÇHä^"D$Ukž™o×}^ËÉT" Õjó^eâµ´¿Ž¶ñÄ,WÊZâ Sù‚[«h®=¼5çTÿ˜¬–®„æ.Â;®âÔÓ¿Ž;‘ìh*ŽõwD ¤MVæk_>[«!=æe„Ù÷NºA ,¹š­V}%K ÏS)áÅOnf1Ýý j¤®B|Fl…éŸx¶ã)4¯éÝ"ZË4S Éxñ- ¸$®9ºåÉN•Œq¸G!·ä :ßý~–4<9…¨é´Ë™lî+µ$=-™V…ÀV;ó..’  PêíÈ5|H¡­åŒ¾|XÓ—û9îz/aR)K˜ÇIRAñ^fÉv%š>ybÛŽý^ÖKC”ÎþßDC‚³´Â•Þ¨^“VF"·‚¬óˆkl›mŠÁ -šòvX(Aú|.~•ë£t¤¨ÌôÀ‚Ÿö÷Ñ9ÎF.çMûØþ$?5˜¬ãö·v|[ibq8ÆÆÁqÒCd “›:¡Ó缞¹6Oïj!©Rñ–Z‘U­ûŽãwÇêêÇ`Ž€_8YÆXùú³žQ©“݇æUŽ‹òµ·È(‚†]…Ôêzk´¦Ñ}¶ŒOÔt D¬Hù_’~]Ðì§èaއؿMãH| J#kdå›,§¯c…Uç3ØÜÀnyM —ÓéÉ´5¯‰ßç|kµÎD*Rê ‹DW£âä°Ö¥¯.d]¸ܤ(=Ö+«g`ГìÅœ>®‰z«ÁckÖ¡g-›IùX\u•;æ³g˜£ŸÁ¥F•&b,áëu}kîÍƲ7°:qB©ìB ó¡ýyËcŒø4Ï‘¸óf¼v ¹¼oÞ¸ž(VÔ>ÅÅ쳶ú+½…°\¿,brÍLŠ¹0Ó ]¦dܘÚJåï@BGÓ_l)\óPï=ñ¦6ÑÑóêpštk›3çŽ&‡ÌáÁbu]ìj>}|“Šq½íS-“Àÿåm‡Î[Ë Ž§‘,GÊ …iÕD=¢CšÕÚârHcBæw$ðÔ7^y’ŸýžþÍ #÷ÕÂ^„û]WòÂr WEéW :e4¶+¾+Üƽæ|ç,¥b Œ \¼´ WváˆGïZQF°Úz%z×ÒС.›ÊÏ8‚ð˜ÎYƒdãÃËx×Ûifº¨≕;‰É¥Ãªútæø5xF¯–-â4JŠsÿ™ÑI¨3ÊŠ¶¨ÛBã ‹W~†Vê2%˜×(äHå×ßÙtšo%ðøôÖ8k‹å5ø3ùyè2´¡ÛÜŽÑÞûà#+»›9Í™¾+ëpd^_ðÈ9JV Ï'Ö û|¯ÐRg8²Câƒë±o)Û%Öû|d›qŸ³MÓìI2‹œÐÅwÒ?hÂkzbJŽ„Ö7è~Ř6€Õ5z•©/v=O6Eo\ ¬È® NeѾ5ÊœÜ\-ã¸áHáU‡qË“ôtéi¿¼·ˆA]³q¹™ØWÕ2‹ Þr§Äû²ñ[nEëË|b8 IÙGe.Ò5îÔþEI³¯ê…üJ7^G{ΔÝ&” ÙF7ƒ¦P¬—“ä|9ýA>}öäGðÖ{\çL7BOvUZQ -±ª3*™ òò´ÒU~¯Ù¤ðZìiz)—£ÈDÁæ.º ‰7ãËä}x½ÁÙäHð s<®E¤hÃjVw…§øz{ '£zx„1žðÁÂÅz°¯n£½æú¨&÷öáÑ/ñµeÓ´ã£ÊÇ~¬Ô³Eö—ò[NjɉXˆx±ðy©Ž¦b½¤ô…ÚÝÆíÅ_C3z:]‚iºx"ázá‚e­ÍÏ3kO•R6«ŒÑžØ7€‚'eïLõRgjÀž­Ö»‹V™ þôåHá”®Ýb+‰¼Óvžo»hI·;2Hz]¿üˆGñÍÞÍP§–Eå6z'óa—…G*éò¼‰“’™ð Ð|÷$X=µ-ä¨z¹pËÜ~8ŒN?l­3W"Ö—År«Ò[ëC²Ò¸ø®ñ9‡“x*›Ë„Ò+ñ”…DÆÌ2„ÊFÔôí[[©¯Ò½FO€mãø^)ƒö3;?3éqdŒ®êƪ¼ì…pPA“Ô^xÖ@Â;½Hfá÷û,Õ'´ZÂ`3 öþÁ7[µl ÑAôÊOÙчÄ)3†ë¢¨<žÉ-ár6rî6­Ôoר«©-ýM¥$|ª…$̃0vÒNê_û‘­}¢Ž¥kO™%BòU餻uìlðÇweáV ŸH­ü¬OêZ3y9›¹§£Öå·æÝFòNÚ¯‚;V³:&có®ŽeGL@-˜^ô¬Üöø'ÕŒx§âµ)€Î mìí‰[(ÜWŒjôÊGråø¼SVCŸWŸ¥oÉ«‘Ì·¿[¼þœ°»Ê°É‘,FtÉÑ’¡Ú|o,û Ÿóä™VóUL\:¯3,·n½ŠˆÙT‰–B—Ãööú{ÛêÃmƒ4¡…þÄÏÜ@j‹…lÕ«Ž/’ÄWáDŽì2BÌ•IÉ„Nòð4.‚†ÚÄeY~,®Ì^.Re—d<øl¼UÐ' âÉPF¯ö¥QÏÜ+LîyºÐ·oôsèÔÏÓ´r½P Ý‘†%€Š`Ò»oG'ºü‰¼a²´1ò˜é_çÎŒ£çLrŸ¿Ÿ~lÝþàí%ýÔYo^ªdbÉq볜_TÏO AFfß ØÇA| h'o8Y£-ã ˆµ¼”¼ˆÆuñ<['P¶4ruRÓáŽÅ+‘ÉÜÚÒ«dÀs‹ b‹bQw" ë2͉_¯Õ Ñ3÷•Â·K%fw¼Ä¶ˆÇƒ³c'Ö¹öCÑ9/óQÎÿDHVT¥€½N¹Çð9M@'ÁÀŽr½V¡åxÈ´ƒâËMc_ûŽFßÞ-¤˜+¿ÅEÅç6/:!ˆ4ËÐBë4\L³åžâãƒR<7Ñ>æ µÇ’´¦¹OkoV¹˜ÌÔjÆ¥½>nº¹µ#Àù Ý{™ù³Hš®¿±ªz¿#aå7·f–u9èIŠ4fõ³™wøð”FRŸ67þl½/i©ŽÉÛJ°çÇoSIBJ_¥zvÓÍ8ºUß‘Gù Aëô–>hÙBþqžO¥®MÈ’U·ð™„Äý®`ðŽ7¯pò&ÏÂÔ¯‡²ï=F~§gùÅæ„?™µ6äCôÇ.†#1„†MÚ ïm:Ì~¬‹0Å ÄÊbÖùîµõúì]¯€dqå }µ#N\ì‚vOÆÌÔߎÒôÁÚÝ»w§jf•„iWó@Ðy—4!‚æF= ¾ìfnãíϦlUm%~±la ù’“5­vºB:§yYÚ‘>–•®­5^‡rS7 ï«W¥éÁF#RjË·§ƒôgÝJÍ®ˆ©h18çÃdA»zÏOFǯZž·¾-ƒá4“~u ‹Ÿ \Èò7ÄïÖÆòkº¬w‚µ­ï¢&…×Ú z»Šˆà(Ï…­®RájY›GÇB'~n(ðÙ[¯¼ùu]jÆý®kŠå<¨á8«-ÚaŠT¹Íç©ê¬•âÉyPoȤGEs/ÇkŒÍ¾éõƒD¬ ¯u î8/'·=G´lÿ}h¦ÂAÊCôBÈæÎZ_0"³€«—wt¾¤HÑ~”hƒwP:<]yenCy>u”eªµ–®ä{ŽßvÂ^³"ÑÜË–p‘>+%>ر::š’Ÿ¤ë†¡%×ÙÎvDnÌ;KIÝ° z¿ïYõ3ì ¡)€½ù]{­òü+sÚiÂQgÙ†+þ¼ÍH¦ôà*Ôr*„¥·1¥FÖŽÇ­[úâ`@—'P Ža´ð]:â>]ô²üóX;QìzoÏneÌ'1EÞ<©6BC as|AºÐŸa•œµº³Þ^1´-ÙKdsÌÃ4g÷O$Ö›U…·žè <ß ó<Ðj™àFÃÚ¾~:“ ¾ûÉs‰„¨.ÆGê(ܨÓèV–ì¾Øé õœQ‹(ísºóUÞ€ÒùR”ÚcÕfKåÏú¬ÜÓŽÊæ×웤äÎJ‹=ú²b†¸hOÉ¥¾–»Õ]á°"¤‹${b^*„Püæá9èP]¾É‹Q A{« ¨Ø/ª×‘º ¤my•dñ‹-Y›‚4ŽŸ%Bð8É[¦o™¿‘š›¦$®Íf~Š¦9¯‚>,CQxï½xkõ¥qFaä ÆVOíýFz]ÛûeÆaó‡–2x19þŸÔé†Úô»=ôV9m3»ÃrÐjï“=½¬vÙ´à̯YO“>zëßpeö j-_ØÇ \ÍŽtøV,Ü~R oÏÀ"€Á†oŸá ixìžaP;õmPU'ç/dKÊ­ xDz ÔOâOK4ƒ™ìˆ‡ã}ëtáLL:ñ>NV–¼‡\œY¹%à;½HCÖðÀñ6†åUæ5¶U1õÏV%Éxiyíýc¶ˆ×M˜FÔ¨þ›sNÂ4Ÿ?’¹?Oèú+°¡Ù'ë«íÀãˆÅ%Tbկ׵z+MŒ¦ËI‘_C'PSuÃ+•}‘»y†uY]óDÕáu`–<á¸Õu\÷‹?§[$èQ~£Ëª’·¤CmˆgÎ10dzã`TƒùCŠNåûÞ”ðü*žž nq[Œ~ײç†1¥QR!­bȳ1Uƒ ŽWÊM–îúk‘ì=a!c¹ïˆ+×Ë7sp^"½M^e8{_ŸÝ<`è´ºÕÐ6|HgÛYÞŽ“‚kô§ØÒ‘Dö&ù¿e·E a貨àì)Mÿ @B©Œß ÓŒhÉÝ·õïÕVçuÒ&L×2ÐœyM‚Xß”e[”KEnÏòAzþ¸]–·8€ @’‚&¢-ë‘°¼ûRìðuW•èŽÍ å$ê53tÏ~¾¦&ê³ „k„ÁºÕ8?´›‹ºN´ú{JLü­‡ûωôÙ‹‹W¹{ŠrP«ØaDÜuª6Cíð=~­*٦ܙdº¨vËß ^owG§ÒmU¬WàøVBZ¸œœ@Áþáq…cM¥‚zÒo÷U#/7?ãµôNL{µŽÑVm–1€ìú¸ÿU~’O"*<Ü£,»IƺE“Á#¹SOøʌʟo’ÑTÑýš&)³½j;pUMzà‹­àä™fÒÖ',üUÁ=´C4«>PwƒKÇ() ÛMÌš°rH¶Ù±¿ÏÑåŽÿÞ Õé« ×Z|9'¤'óšoB›I^OaP–5.‡LM[ÞfD²ž šQlöD™¤ìcFæFš?­`=ƒRájK/ô+ÛÌ—>æŠR!|QuÓl'Ļ-£d7â:Ô‘ qü”¢Éê<7¶ÅÏßPáÐr`¡¸{qMÇ3à ¤‰Å™:væNR´¡J*cn«0©ÑSo.Ãû~ÔS3r¢ Y,…^âûÐ!ŽµóoˆŒ¡—ùÛcñO¶˜ùêpøe”:!@ÔØWïñ µ²c>XÿŠ‰Þô¾mÅJ®Œ]Ý4„pe u.¨­â©ÌX…ïžNÆfoùÑ7UÇÔÃõÒK~„Ó{0Žè¤buê½óÜàN4•n‡/sÇ3oÐK`a-¸aã¹  mÃo­×Ÿw3œD”ôt%áù•{2MÅ/Ùå8N±Æ=*j¿&aˆß–4L%$$*‘1ćz{$¹ R¢]R§Õg 8΃‡½“k~­32›/+￸šó-*b¬œQü>Š ATÇ·£-êc‡áµ’´Ùv®¸²¿}K"ž9uŸ†£µ’¤ü¥î!‰rØmŒXfÑÊu¶¿Ã8)ºÎ”ôó¤xÇ1…’„‰¤ÉŽ]Èrr ]#ø¬c‚/Nö¦Ï!^9^tUäǧ¡u«°eæÁp¯Nc]ž©oÚ*Žó &¼)·vXÕJè®ÏD.¢€XÍ%ÑöÖqH¬ò1×s°ï3¸”US\]F«ŸÉÉH|4j¦áîðÚ ßáŒÑà›A»” 3J›z¾ÒU㌠&M…«æ÷| ºï‹yC²‘- ¦ÈÿšFâ‚y^D ÏûB0Žü†‰©[¢êÕO\š®%?Ãh Äbƒ&.Îë'N?í¸éFq›nL(J‚M«ŠæEÇé«ô& ‘K–9ÂEŸÆ\F'G÷ªœÏˆƒ‡bªXæ_¼”·«‰ ~ÈÁñ¤Êƒ÷D(*â”idepßìài­©Ù§“ËŒóâ¼ëEˆSuˆÕ pƒå]¶.Mø”‚!+Ģغ]²dtÊq–; ïÂçŘý(S ÛîTÕ²Ôbê¡JB ®"¸Zð¾–)_~ÅGZñ>4ÎøŽáuºAÎwG¹¨½çxæ]m’O©øá¯>Ì^x*'$¥q;+iI”>¶6Eõª÷HEÝÕþç»p‘}WInð« ±Šµ¡—áÍešpÙÍ÷Wî7Nè;e³¢¯~Ð:d·Å´3n ¾26%n§xÚ_×EÇó³`%ã°Ðy†.ev˜$2Vǧ/«ßƒS–W¦º<¸>šµ6Cñøé÷zéaqOip9ø\9§Æóíã´ò ó´FB®Õ¶ÄU_“´â.®hYLjKÔtô$ `­š ©^'1M¥ÇéI׃¦Œ÷C ›>y)KÙY^‰FiáÞ¯œá'§¹f´ ¾¦ãJŠêyõè«oݳDÊ椣YÕÄ°–K~± àL>ÚdƒˆQïnŸwQuöÖ°t qÚ'™ß±/€d\‘–¸Uï¶"h§nÛG˜§ð—hùH¢õ9GVë¶V{7N\0€Ûn¸Cx6t›ôD?O}1ºÐ¹ç~*W$ F!—¶©‘eãæ(祗ØÛ_^…ƒ‰|ö4`}šÛ\¬Ûæ1ÕõæçU•úåQ· Á]}[ – ö<•\×!aþÙkåÏ„o# ó??sK›”’Ò½£[ø|®¨qƒîäÕˆ¤p]χÿܾè«m &k_T Síú–c¤ñuš®æ›$ -ºÃ´¥_Œ!>Ã:S蓤™êàûO»P¯«ïŒO@2ƒ!¤}êEÿ†xp³f'“« -¶§¥‘ÌI†œ¹¤ ­Œ«¢v\¯•ã*ès{$¸ä Jäë§%@l/°£“çähY9”‹¾Ê/ßJGyO’X›GÉu—*å›uÉG%ͪ:#C<Ũd7XXW]n¡…ãu8…бt|C:œ ·ðTöñFæ¾Á:ªâT|"ëæèú»Û¢–mÝZX“RîE‘„†×Ÿ’ÖD‡Gä׫> rõH6Ñ÷»Ø› -&GÙ¬*ò‹e#p¸ ¾ó¦ïg)aˆ·fü³‘¨ °,^Ón7pç˜:Ï‹ì¿Ã=5tJ7&ù¼¨@ŽFþöiµmTúzKˆ`í‹]gS`ú2÷ŽZû‘8:\@gÎ牑ß>¾Ì¸éɯ «(2¸­µq´Îª0òjåÜv·¡rÅý·eñX•c<–˜FuÇh@0ƒ¢„d&„EFUÄ…$¼íu‹½w²]¤TþÓ\í{Ë¢T€-IŸÚ+X³;áGÃV“¥Uÿ^’[j"³CÖéuÇqD –’wÒýwJØ9#ÉX"™ᡸ]«{šoÇ'e°ŸE´³G°‰iUrÌ}ò]LÚRÝ8A²â†—ìz—˜`ΰùæŒËEÜÁ£R‹»hqùîK÷ f©Á8ιê¡~…ËÝK“–:$’gÎ3& UÆÜzHIà­N…zPwWÇ;ð—„Syþä d1ëLÄ4zÀ$ þ×€gÎFT%+Ïê "¨x±1cøå]ZP±Ú7®rÞ#RTOFO¿Š.Çz è(–^=ŸÔbŽ•WòRqI®?×C/†ž‡âRÑJ´ŸÍ¨Ó oQõQ½¸'6ÞÐHZh‹©°–*‹6beºp{TE|dxª§¦ø”vtì(äê­}kÀoÄuûúœsúØ‘Ù.sìÜPÅBÔÏPf.Ë'Ž8µ.öËÆݾôõ–õÛOÝîq_W*p.¸} žŸ¥qìù’†ßéæ?×oŸÛ,¹¼bÝôœÈ—½¬®aàÄÑÂÙÛ+Ñᯌ À‹ÀíýhõõÆ¥³ Yí;³z¢£¦¬EbCÙE„8ÛsXáW­%A©øÅB*æjþ|Piê=<¡kwªãõóÉYóÚ6Œ8ûŒÖÂszéWÒƒ ¿8òÀ¹N’¬†WF·®yQЀDÄñá$µzÝ¿e£‹œ÷tÍ¥³Q«Ó“é{ç =€ŽE2<Þ²‘|ã™èxsòa§É®©ó#³¸Wr%3 Óu¸ p¥û€‰m­'YåÆ‚àà¬rÀÒ¹^Óµœß…Ë8Ë«{„qV€óù×I+zc€Ê¸vç£{!%ºëWY»‰”ž|Þy§ïãM*nt.÷ù›ž»´¹ÛaIðI¾¹$óWâµì¬ÌA}…~ýO³ºY£ÖŠq^éôKÂœd)š[‘Èw绦Z’˜„ÙÏñny•·p))Ãé",}_Q±ÏkûCÕÕçj„bOPrý€47 öêê Ÿ>f:ª¦FTiFÈäÄ&æÌ¿_›¼ò°éô…BQ`5èíãšøI¹ùu¼GÚÅ‹Õ2kg¬ß?2ë¼hÆvg‡»Œ3– ׬ ÜJççÏýrñtn5cX(ÿ¹Gúd­uà¸Â],F]µsÿeðçô¯¢6•3%Öö¾;¼^“°¤n©ñ¨ˆL…4Nø5:POojÃóÇ CíC~=eΉÑ_Ô„T˜ˆWl¯¹–Èíx®µ>jíèû:›Ø@­¥ñÄì Hsm>ú‚­ ËÌ)ÙçþFÖ¶î!]oS,ßvô†ŒÜÝïsoùx÷}[‘}‚kŸ+¼§þõûÊÏgµ~ÒˆDÐÄÁíJavr.OË™-^·XåIVVAŽD¢Óƒ¨O«Þùïß;îrå%q 9Öè,Í–~IZG·Êy> endobj 186 0 obj << /Length1 1591 /Length2 8511 /Length3 0 /Length 9544 /Filter /FlateDecode >> stream xÚwuT”Ý.]J·ÔP2t7J‡4Ò È Œ C—´ ÒJƒ¤t7HI—t·¤4\ôëß½Ü5kͼÏÞÏÞûìsösÖ;ÌôšÚœÒ–0s°ÌÁÉËÅ#U“1ÐyÆËàááçâááÃafÖ  à<8Ìz`¸f/ö/Ž, BÜÛä@ˆ{ªÌ ì ðòx…Äx…Åxx|<<¢ap1€Èb Pã(ÃìÁN8̲0w8ÄÚq_é¯GЂÀ+**Ìñ; ý ‡X€ìj „ øÕ}E   ³€€îÿI”°A ĸ¹]]]¹@¯œ¸`p맬WÂð솻€-¿Ú¨ƒ^ÿnŽ ‡ cqúÃ¥ ³B¸‚à`À½ ±Û;Ý9Û[‚á€ûúígª °ýdÕ?€?·ÀËÅûwº?£%‚ØÿYXÀ^9€ìÝ!öÖ+ ÐPPåB¸!8 {Ë_DÔ vrA  ó{ÂïŃ ÒZÐ}vèd‡8 œ¸œ Ð_]rÿJs¿Ñòö–²°W¯Àö'œ_듃ÀÁ÷;ïÎý÷ÛÙÃ\í=ÿÁV{K«_­X:;pëÚCÁÏäþdÝ›pþ±YƒAaa^Øv³°áþUDÇÝüÛùÛ|߇·§Ì`uß Øb¾ÿÁñt¹€¸3ØÛóߎÿ"^^€%Ä0[CìqþÉ~o[ýï§qóÜ!/€ç×çï'“û9³„ÙCÝÿ¡ÿ>hn9MMö¿›þÛ-#sxrò‰8ùy¼|ÂaA€÷3ý½õÿÛª ‚ü¹¾e|foˆþÑÆýþýÕŠËŸóüS>¬€ÿVP‡ÝÏ5üG/xy,î¿xÿ¿Åð;äÿ¥_Yþ?dð¿kRp†B3€Qþ/èêþ'ç~²÷*QƒÝkÅþ©úà?Ä-ƒZþ¯ït¯i{ëûyçäàâøÃqR€¸-5! ›?æé¯ã¸¯…؃5aN_7Ð}Ïÿøî%hawË8ÝÚoø^aÿ­+oo³ü%E>A!¹ãÜÏÀ=xòÞkÖìö{ÌÜ\ö0Ä}à¾Co€ ŽóëhE…Ü _¦?(€Ûâoôk=Ü–ÿ‚¼nð¿ ?€Ûú_PÀ ù¼Ol÷/xŸùÕ?—Àíð/xŸÊñ_PÀ ÿ¼Ïìô/(àFü†ÿÙ g8üþÒø=´÷Ûôþ}CÁn` œé ˜…x my`Ãy©4•+çÚ Ÿn×QØ –þª<¥Ë†–¿¬ÄÅ1æÛ)é–±õ·‹D;|ywÕvdó™xûÔ(äõON ¶˜†W’Èr³é³tŸñ; 8§+]Å€ÔÁÅšŒvÉñ¦×âÔ*Üzå13š”¢K]¿¨³¬»ÆXÛ5 ¿Ý·Äṯ'4B·q! ë$üLF •^΢=Èõ ¡§¼šïŽ–s9µµÅBb™~´Ü27A |ÑVF+t›ºÑÿƒ\Va÷,ÊÉØIH¶¿fÞsžº¸r›7z'«Ú‡×FÌœ½+¢EÍ ÷í7Ñ!ñBCF‚4,\Èî(4?HÕ/šKŸjGë.}Á£¼ÈÏÑC45üš¢cÉfte÷¸Ü#Â’h+HK°=Ù9m€²ò‡Ô$vê—Cñˆ”B#nïÏ0ÎTΞT$rŠæW«„©Ò¹ßGµ[å\Q[XCSÚ=d†Ý…ñJØöx6²¹ •kZŠ«$ÅÏ%g€Åëp‡êì™)²öÈôrÀ*/çâw¸JsGeÆ‘)—à¤m÷<æúêjÍÅ^«c’Ñ2YgMù¸S(žp•ö dÒÜç©œ×2d ž¯`’0‚Q›‹”׸/¿N™Î›$QÎ÷ãÚSæ,á}жEêNæ§Ú“#••°£Ô%¤ßLÑEÏæŒÔ ”¯V (\‰~Ç/ &ložVGÏ;ìÛ‡ üн.ÿnÓ(¹S¿•L¹]fì@Jyð©µg¡K§$^{^-,ç¹Ôïc’*½ÙÇ”–2½aÑy·ªÅ¦¡ÅʇŽI\/ßm‘JYæYYKgÉïÇ1Çs(_ƒr‘žßm®÷°ºD<ÙgóÆN öpÈgrËì3ýªËöƒàË+¤a8li±˜bäY¹dÿ˜¾V½™p“ AY<,[±x9ðîÅ.w¡À'¦Q ÜϳdÏ–ìH#p†¹Óp ALÉ¢@õFŠÄ¦~i´Èù6IA"jõɳ%¤6´pþÔ ·`ú‡ÜZ!ÆVcuaw>Ô,¥ìy2hí_e}U¡t ‹Ê°zt›KÞnË?qcTT¶Iõ݈ýÉøVeÛ'H:šbp8°b¹/k .IõÐÒb¥bëÞ¶ÆØ´ª°éöÏÅ;öDò}\}cAEd`¹®±<3ÖeLèn U,Õ E<ÃÙO|åm9¿›Âb\«'úásQyzé«ù˜i.‚î©tòž6íO‘q’|)’»ß:Aàêâ "ã©~k6 Ô,g•4“® ž×ßœ·Ô3@/“ºÞí…½ÓŒ ÃÑtÔÖS;Û‘sZ'i‡eñàYë!³*>‘7Bî8©ìmøMŸqzçãzíÖv<^Êce÷‰ôqliù‰Ý¡§±C܈•JŽŒ÷mq‘˦DýÑ=¢T–i+MIT½t–ß „¿õ¨PÂȲO|ó±3rf·ÃÙ»F?üìVK¨DáBꤠ÷U^SF¿VqýñäB²S¶¹,1Oå—gsOEæû>‹oKf\}î6—œuòŠµÞ³Æ†EÖjtË ›v¡ˆ·Hçû—»ô ÝjSôù™,çÛëé5`©j-¡F_Îw _:Ñq¦(|UM VøH)¸—<§>fK“Leï½"‡¾eYQ®F‡ /Ìò5Ù+€i©“gâëg/ñ ÆTXÕèÆ,øcM?eð¸bϸ+´ðU_ÈÓcè3¬$$ø.MX¹ç~Þ!`d”S0×f^±>¡oLÏ•ûÎ:¬ÇŠf‰'Ë4üTö^G8p ·ºu¯7íb½z拯 qqYhÐ(­Àž9߯©à5WY+y±ƒvôöwÛ-lÅ›¾µ›—ñóœd}7Üj,)›(>ä”Jóåóøôƈ—?¿scÒ(¸Õ‰ }]®Ì èeþ'o;a…Y–´ !Íò‚ž;¡ äŒ*9¾N$¶B°JlhÊ\ô³øŽµóðwßÚEo¾ö—Œ+6ù1}ëRÁp šiMÍgìÞ{è ™ŸWaI/^`ž¡3üɧ~˜çš£üÝ;¨·süyjyb9²ÕlsÌŠ±vÎ[6Ï Ôóö^¨)f]ÔWÓ§Íj-–¶o{ Ì78çOŒòå=Õ‚Âym¿*KKŽ­ŠÚ§òïY’ub1,¢’LF0"×r§§&–eì›fV9³ýÌ@oÏÏFËÅ{Û ÅÂD¡Ìø…R“ˆ3v½jq,"˜SzA† “ÂF•ßò±·ÞQIŠØ³’’x¢¦ws`jÐ!µí;Êljš ù¬‘Ë7 ¦M™^d(Ѓª—í)(îdê9RÓ 1ö€‰ø³’Y´ûÏê¾¹rg(×Â’ ™·ß_aQÈË’cL zÀ;Ñí®Œ{í.†ÎÑVF¼ËF¾;êvË AWÉ«…)‚󦮾JÔ”MzÑË3èv4B&ÅFÎ!VQ/–¯vWjK£ëgG=M©\dVðvï *“.TÓ~é Ç4œsÂúU…ee¾0…Kìs†:ï¼æCt®.«§‘ca½§®ûYí×,WŒO½žd³[)ioY·TðìcPÔ¸n5£n4(l5Jy¨ûÕ@›FÍL°U)›FŒÇ –Dw54¢³H[ùÏÄó•;~æÐàîjŠ’†•¨Ïe%BüÅý!’7œ4AD¯[LìÌgTmDi'Tñ…ˆD 3)[h,íÆæÑtÙ‹Pž³óè7Üß1›¬EÜR*m?÷>ÃüŽ¹‡þšpgJu‡—˶êûÚP4UZþ¡›`ÙÍñŽ©h$ª!¦ö‰ÅXþÚOJ(,œjÉÙ#{+#õB¥ß²j?ŠÒͺrºCjY„DÓ$D¦²B¾öynjÉ¢f;ô2ëØÌUfùÅ{<>f¥~þ½8¤·æ’÷‚ÏŠj7hÜ„ËZ‚+Vh)¾î+šºLÞðs]†[óõoXµ±¥­èóQ1º® k7íÍôfQo»÷,;uG›íÉm5_µ¿n–ÇK¢~Ÿ‹eû^“þ‰Á1£O‰feêµ gfx)eŸô_ŠidµŽZR ù pzFÒt5xÊœ!¢ÜUºê*Æ1%Ýh¹”æ¤ÂãMï|Ž¼GgØsèšbcÙníKµ>Ó÷GYϯÆb­žpRŠí‘œ.—ê+ GÝ^Ãœ*Ã+us¨â·äbJ›Y¦``fdÿ+ZÂ&z¼ª g¬*e€¹õJ†í©VaŽAx¤ì­YÑéäáM€Ý-é>™„™~ãD!ñ»û‡†™äRS‹ ,yŸl"râ˜ÈðJüó!š<‡ìÈ.2ÂóÖ#r“ÇsÂî¨t–ÒÛ›C'B6qN SÈÕ®œ¦¦@Ñó–~Ëï*$ ù\Å%dVþÄMª¬\,Å6×Ã.{ÓhCi8Ïü­8LŸÊ$\e±ìŽ|Õ*Îû£–bÌJ•pß»³w.H–åj~NgŠI÷ÿc ôèIëh,x$u k1#Ês‡^(ìÞ«?Iõb߬n-jˆWÇ~ä«QK°ò>Ú1áqªÓˆÝÎEÀ‰r>b} ‘ñrAë ¸ d{ÛŒBà¨i!6ˆ)‘˧1"òÁˇz,Ú¶2vVBäy7xW–EO3ˆkPï4½jvÖ¦y¥_K0vd½“õ´á¢õ'Öj–)I=¶éØWâ=lÁC±ƒa1î‹»`^Lj>:Q½›]á'ä4™:ŽcsÃÏ|G£ÐrÚC,-%p´¦C©{0ª"½–ð­¬wpÎÍeKêtÑù,$’!¦96”Lbé+ÀÖ9° šÓK%úæ¤0Í Uüš´W›ßùQsO¦ñÆÞér­ãI‰Ý 6]קsVhå¥À0;.ÓúUÕ iZ¾›¿&îðOá¼ÍxoW¬¬”Û6è•P’â'šã…™è¸V]NÞ?LIi¡ù„ë˜V€ У£wC^¨¯/M:ÿ…ëÅH†”ˆ> ê†)>ÛL‚j´V¹PL¡Ï¢p {T?™Ž³šædÞ¯¼R-3ÏKY NíõqÏ}¹V\sIV"5'’ÊàPç²ÕAfZz/W,Xž‘H¾ù>f\¢VïÉnoÞWC&¤"Öç$^$ÃHvgÙk» vä\â;ùv„ Cº??Ÿ™æëgUúfy¡ÀÕÜ@‰¤&ˆ™'Št¥UN“)ƒ3JÁ²ßø ãv؇둴KWmýƒgèFjÀL§Û&a;a&QI#¯œîêJtl:ª¹Õ Š0 ã˶ÚZLtR•­Õm)š½¹e[¶a<]/Ò™sºhœ‰Öአ(¸uËjÑëJªMÞ´ê\_¶ÔI\øV´é);K_gýø´PZ£rfmMH4Óy©Ͷú[ï-¾ö˜LƒÛO?N;+çäu³˜#ÿ± çÝÃÖ"›«‚eþM½Z‘ÔšÔ’¶²Øöxç·Í¸º5¼åøôöªœêdøC‚CÙ”úXæˆf? ~(G²;›¡§²åmäA”ômÑ «˜¿{Ó;ƒõXâf/lÝØ&yu’¿bÊù'î)%û3ó‡$Nqº.WmU£šÂ´:Ë@¬¹9ÇÉ‚1³”§k=ñ<ãͱ÷Ó(Qƒ×ùÐ~¦Á× lÒá>ÉYŒÓ\¯¤1½¯«ít¢#sö~öIÜâÝj2t 3èÃŽÏ9_ƒ§Ÿ_ûu÷&žÑžz–qE-ë~ ©€ÜÄØw.‡ ¡-¼ºl$ÞÑ­»š\-Êm›Ã-͇Å?Z~+ÍÂSÆ‚Z`«óÚõ|‰ï²¢AãžKÚ& ¾$ÒùðæmOpû±—.¿‡ö&K‹qÞyH¨ŒØ–wu'lÑ!“õfFC ºÙ·–¾£ìÙ©$Ý$J”°Üý¦y«dÖ§Œ>.1òç Cp9šŒA;ˆ ùµ>Îùó’ÍÚÒÚ²òÆ\!'l£zO1¶”IJôú|ô`ÔÍE­¦þŠjº´PSøä5²îê|ÜQðNŸËVp©X*ZÇ~¼{› •°&¶®ràe²÷<~ý«:O¢HdkU¦î7ïoäct'ÆJ3uÔûç–)­ÅU;×Û—ÃÃñÌh…M»xF-ô‰é«˜#­û{|ŽY'™ó÷ ñ<Î ò ±Mö~áñ¶ >M—íí bÔÊò•<¾á°S,;k ¨&&]«^ÅO~^"»O-ðH;Ç¡Ë3£qZSå©Îc ‚Ù­KœaÙÆ.X ‚élrÙþäú=o3wªÕ»0ê *ä ùcwL•/\øŠ&OÖ¥¸™ló 5žž@áëA³*é/(¿è¿ÍúšMü©ÇQœêƒuèÜ' iÓ̹d®è <@j³%¿`ëNþ |âzþ¼å¢’U^æÚC^Ä„UïÐ'u³J#uµè†³µÑÊA,ßÖÆRhg7 0æðdrˆX\JVRyËîòùIcŠMŽÖQïM£“‡È×d¤›äæñ“n|¦^zãàøÞ Ÿ¹2LkÙÚ²6h$ë¨!{ßÞoÛ›Uý‰þésVB7ƒó¼;Z3àe„»±z[ÅÑ¡úéy-jì™X˜;ésÙ—ÓÁ¸C¥RKŠ ¸åq¿&ƒÂý»¦Ø0epwìf¢lhSóðik‹å²d9²ªù5(ç™ènrƒMv­žR ‚•§³ëÞ&æ8žÇ¬ª†´®,mBg&’Da°¨ÏˆÍUEF# ¥¿·g:u ua` È.êÖœ>Œ(%oÄhÊö§ÔûØ0yGéô}'›Sz<.¾®½«ìSÀOæ²,æeyØgJ¬BÐÀC­®ÒBû,¾/|J =•ÝûYÄ ½§ g_4g£Ý&^4Òä¿g¾À¦løš~An¾ôÒ{6]è“ê¹m­þ°ìsU¾K+Q÷óäLí¸ÈœÊÉ mV*Ã÷+û vß^WçC¿8KèQ&¥S’f ïßÅJ÷î1!Õ;® “}Öp¹3º|M÷SV|Û¹=®6E½IoÇxþÚàËi¿¿;ýñØ"9Eø>Jpžä¹ì€7!qÍ«¬6ÖÐÆJÄhÓ†æ Úð GUËËáuì™´KÁÉÞŸ¼ÀºÎØ’¼Ÿ[©ƒ{d.Ï:pNL2·ŸÒuÔo§&'“ùñeî/×a{ØÍn‹ŒèþrÎø’}Î>Sp*é¸{‚9™M¡U%C—a°àÚÝ,hXÛíhÜ Ûò´g Z%ËÊ‚ç5´ MëpEȺ^‚"âñ½Ò¬…¾¾iÀ\nÄØ$IS«f©±Ýj}´„ <›5áÝø¬g¬ ém*Õ`رdx§ è#V>É“ÞÆ{/¼>±E¾sñŠ\xÅö0Á©Ê6ºZë¼;\úFO O*YÁÇ• ‡<µW'XâÎ-HÙ°[´º}zÃGû¾yhb R×ßrdUÈDs-*æ÷}®ˆë¾rû“”€¬þÏjeÚÝŒ'_`LmJxYø9Úçßä §•dK›P…†ë­]‰__ªkFP\nsÓÝÐKùðûÝb,Šç6ÇYš+ñy^Šðë³ÉÝÜ W«Èûº;OP’:ªŸïùÉñl³@e4=('âsŒ'£¸®ª7¨é8I~tc]ŽÂZ8qëè¥UéqcÜLéLÜ»)¥5­§˜ZÊ%mØɸ·s~°_Bc–¿¶Ó¡*Ó¶Ñ]‚Ï?Œd&zJG^±øšõE›I+Ï|ƒèìUÍ;‚åÕ‰àæÕ?âØÒjÐ;£%Q²>ÁO¨ÎªsåŽ;^OxñÖ!8'„Ì»\#¼P«3áði†½’ÙIù¦dÿŸnßšÏ^ÄgÉ-¿ÜM÷9³ 5|aÓ`“B\AæZ”Îm¿… fàH:ôÈ`}w;pÿ®kØ^ š¾óˆTì‹£Iz±…x_Óâp—wÛ±Ž¥Ž}A-@Iíä`íffYÍv¤l¾Á_‘jDí¿éÄÞí«êºžr úpƒku}ËØûpIç²{øxU¯ þ&ˆª\¡iBÊmAñóYñ>Ò“º>6™e>q­ÜÔ0‘ÆÇå*¾´¾KUFi"á`ü‘æÀÙ×4tf¬ Ç“2á¯]|„I«z^Ñ|«Ë}.£Ë‹ .¯X‚¸æò7CÞbF ‚Í%ÙVR‰‘‡ÇP²ž5?Ϫ¼áO°èÍe¢1©HSXˆ÷Ò˜4ôJN'Ò]¦ñâPš”R«Ta¥Êùˆ°Å}ˆînIdÂn+,:Çbmš<_ùa¦D¥¬?‰ž=€ºxÆ(OúD#Ÿ3êÇUÎ÷ÈLæ>˜âA¬Ë},g`Î}’÷‡†9#·¯ÄÜ—ÔúnÌ):PH“"FßA»-.®} bXï&?^{õX˜KÊ·KTíò<á¸p¦8ë (YYLEH„WÞ ŸqM·ßa§¦Ü­ðu6då#0ªAaYZÑ'Jªtn}–ÓN~ßÒ©ßÊÓä|˜ãtõÎ4š(rÕ:\×ãQó4lž Ý •žÃ¸hù̵Íòt)Ö X”ˆZŽ¾ÔÆËHù8ŠªiºJ®?ñ³ •}ê¼€¸Ñ£»ø‚K³Sp*}…l.÷¸ŸÈSp =µ„=×htéEÓwÔ5Á­ñ|¡DÝÑà=UÍ iˆ÷ì!§ØYö5N@Yê²}ÛÆþÌRfïϧu…Ü»ñÛ¹^c¾)Vš²yžn„ò¸MUÖtæà|«yGƒa$%Yi˺…CO©U3ÍáI«Ï%–²Ðñˆ¬¨ÓzîÂøäñ†ÕúM·ä¾¡²òYÃ:zt±¥|ô~œïã$μܞg ©cÚÌlD¡êg´ÂB±-»:´Šÿ¥[±BY‹Ôj F}Áò&ÞiúGž2”iÂÔµ SaÄK’Ý£G¿oþ²sw! ÃoÝÌØhJåðj‹=NpA­š¸s{UB½êŽSMGóõaÞJuIUV‘ GYgõAúöft¼z«V1Ìûž5„¢ZŠGøHÿ¡_{«_ÎÕ)­XêʃC’øTJ†Õåâ)©zŒMÜojrÕ[ílFeúÓ>&æRë^E‰`¿ú†çw«fŠ»X9ãÓ»ÕÛ6–J ®P[«õ HºTÅ}ã;{é€Ïæ×\ß)‰Í¦Ëöjî|ŸB¹p8‡,{T½pC9õÝ' %¾yômdÓé Nù»Ÿš‘ Ã?Xü5£èk>_ù*ÍÏN?T÷Ü8Ï‘ú©1k‰‘…5qnn:riæÐ-—a+µAÊÓÎFeœkŸù$ïõÚÔûèd‚†jWJÝEO#©í_¬ù¥á6ùãrâüÍ–Ç'ü†`4 Æ^nßõ°^Tc·NL¥5˱.Þl³BYy`úTþbžÍ3½u›”¯‰¡¦¨1\õœjŽ’rªÐaA>]çË!%­ÊÓCH; IF©Là 2sžÞ4UZÔ}£D'”¾TW(™‡Õ0²¾8^íýp‚Ì¡s¶áŒ—üs àî¬õy…=ÈssÇ/‰ðß¼qmðT åä‚s'®ÕÓO¸Æñç‹êiEþïÂz*ÚÑ_ˆ%"¸ñÝ©&Ì>~ï—D¯SíÅoÖ’aíã#i4«S¾ºº\à´šŠf܆½¬=/ Ñj8¬ÀÛ$;¶öªùJFCûø9™^ç`ÀJÙÔ#¨|*Zb/‚´Û·âgVvÎ7Ã@Ò)þPŒ"ÙBYŒ^õ¨ôÌàÕ ?N“„×É`q:¿!ˆ‡FNÔS×܈Úú­ª…ª@OÆG½4fšŠñì»íÊjñí¹Õ Q1R~ÇàC«bYç’cïÐú´þÂLïé"{æÛHXéZ³x‹UÆ™šüUra^D9<ñVÂgúO´ÝšrˆýlÈÂÐ~2ñ‡Øç"g…® wãbｧǸAÂ*í-‚JĘêµ8bþ¸‡™S,X #''·ì˜töWº8R  Øúµ6CF›,:¤N¥ðŒ¡$ §¬I‹½Ç,¼<L††¦F2P×îzF i r’P€ù‚HéPn9Š+„&ôîŒÅÍw嬖Q˜uí§"™Œí>ÙgÞ§ñ;ù“¹A’¶†oë‘þÓám endstream endobj 187 0 obj << /Type /FontDescriptor /FontName /DPBFPX+CMBXTI10 /Flags 4 /FontBBox [-29 -250 1274 754] /Ascent 694 /CapHeight 686 /Descent -194 /ItalicAngle -14 /StemV 107 /XHeight 444 /CharSet (/a/c/d/e/g/i/k/m/p/q/r/s/t) /FontFile 186 0 R >> endobj 188 0 obj << /Length1 1438 /Length2 6052 /Length3 0 /Length 7022 /Filter /FlateDecode >> stream xÚwTÓ}Û?RÂPI‘f*pÝÝ)’c ±m#é’îTR¥DBR@¥ABBEéx‡z?Ïs?ÿÿ9ï{vÎö»úú|¯Ïõ=¿qÞ¼kįh´ƒ©!X~°H ¨¬«« A aHÀÉi ǺÂþÖ8Mah ‰úe4 ‚ÅëT X¼£.Ôzà  ÁbR`q)(IþíˆDKU p{ ®P ‰€aœÊH”7îè„Å×ùûÈ å‚%%Åïü *ºÁÐp(Ô…``nøŠPˆ+Ð …ðÞÿHÁ-ã„Å¢¤=== n$ÚQŽçÐŽuÂ00´Ìx¨qƒý&à;Á1¿ FH¬' â®p( Á‡<@ØÃÐ@|u ‘¦PCüvÖùípøçp€`ð¿Òý‰¾HGü †@¡H7á G8à®0 ¾šŽÖ {AØ_8B\1H|<Äw…Øá~µª)!x„ða h8 ‹ÀÀ]/0 ^¤Á³*Â^éæC`1€‹þTàhîÞ‚†ë‚@z"|þ–à{‡ öP‚&¸û˜¦Ê¼ ðo# Iˆ Kˆaî@˜ÔI𢀱7 ö˾Pã1øù ( ÌîÃÿ|0‹~óóùOÃ?% ´‡C±@;˜#øwv¼æð[ÆÏ ÷Z€ðôAŸ=YáfD¸zÿÛý׈î©ÝU2åûù_F%%¤Ї_XÈ/$ ‚A"@qüƒß?óüëþFÿK{ÿÓÝdÔD8 %.Pàïo$¨Áýgox€ÿ,¡‡Ääþ7ÿ-A¢ (þ üÞ‚_!ÿ?ò_dù_ùÿß©=puýeçþíðÿØ!npWï?xB?Àâ—C‰_Ä»šÁ~o´.ÌþÀí¿­šX~IŽx¢óƒE@"¿õpŒÜ fŽ…:ý&ÓßÓÀ×p…#`w‘øÅŃþˆß=¨ þrÁàgöÛÁàûk¼2 ¿jÿìCEÚ_줨‚FC¼xJà%Q ¿¼ö0¯_œ X|Ùè€D.-&t¼¸áðÇ€7üÖ€‚®M\(þQ úÆ·ó‹&øVþ–]0˜ ˜œ@B¥ƒ«ƒ[+™=ùW†dH¶ÒÍ…ø‡ ¬É°Ýª£6‹ FÙYSÚÏÕ&»ÀjÖÎmzJî‡9sv|–kØk½EöùÙÕÖÙíâ&Î÷/'ú°Üš l$xb–¢Ä&UŒî&¸ËEÕN.oïØmÄIéûWuçÇDO.º5q­½ÖöÊ’,zIÓ/Ÿ ±Mv}Æ+¢» å~r‹ ZŠ¶ŒHÕ˸¥-ÓzHð¬ Zèíîbíˆ Ôòx´ò#K­*ÝÇ¢"r¹Âtæ鵟¹Å›4>vê´ ›öÝ/æyR«õ¶–·7­nr'µ‹;Ù&9Dƒ¿àŽX©Q3tJiè¼üÕHûéœ0v¢†^¹ÄŒig:\ãõ\Ù'V­°mï©ñΑ…Ÿ´S5-†{‚¹ïè&Èž•.ñ«ã|ãáJØüWe õ²*}φŸCÐÓ×ì™}îq3! ‰4§c¹¢Éàæsjaá«ð´r“k‚uŸ{/ÞÛ÷Á‰œ=ÝimUâšr¯ˆBÄÐDãjf|3 žoßÔBÓ«¢•qžn‹û¾^‹V:½nÈB¿2\‹›è×…Ô£‘R@öœgm‘Á1 ͷʦ—ºÂ÷ØJ ãì Jôò^ïÒ¿íA¶Ù .Ð 9Èó¸7=S)Ôèñ“€ªÞÍÍÌÖ¸iz0h_³>@Ú^äi¾q!夨ԥcºÛPíXÞ™ i>ÜðõËæÑ4¸«.ÀcóžÝr÷;±pŒæqÓ6Wˆ<ìÝûƒxÙ𠇦z™ïÎÚ?q¸4ºîÏqÚìºqXQ¥K.ñwå­Üpè GmÊÇÎøÕ`‹i觯ye>:£›\áíí€~ólÉ¥þ¢…ãƒouórò´S˵Æyûß =3Æ¥al™°¦-€à6yDó+K½÷É×Æk~ÁyaØÕ)ó§AͷĶݱÁ Ç~í4«#I<•¡ÄF†cæÉÞ7hd²0µBÎÉúÖ-‹AÍTœíWbM²›C|äÆcóJ+ž)»!çW@Cœ¥~OPÓ7ì?û8Ñ‹ÈEÒD^¶öT)ú®3ص¿ÖE´Ûß±^Ph«“'C] K³T*u7)²ÂNNØzw÷®Ü*Ó†®¯Ú»r?ßü4FŽÈð²Ð6¾8ö.˜¼¢%åH7bTd‹Ý–bÈn`§>â><‡šj2V‰qÛ uoF`Cì‚fŸëm† YAáÅ}‘sÙ-Ö·èô—ÞÓNÖ¼Ú“U¾–»ïExÒÖ1énæ ßá­ëŠôõx^(Yt£2÷–¤¥–úìÞz†_‘Ø3!?í Ð7ÓJú¡—Ñ—§‹ÅÚý"@Û.J á=g®ßä<æÌ7d>iÜ‹©ì!öò yEë°¬ÆÏ‘y+ÓŽî&wÎEÅÀÐ+]Ó{mݹ ±+Û…bYq_¤lŒTä(}w¾fæÜY‘7ÓÖq4ÌàyU59wÑgéÀJƒ«&ìÁÊ(»µ· ҇ʒ°u.5 î(ÀÓŸ!GqGEòC 1h‚ȯi-Í6»å!—©GôÉÌæÞ.•ä–<8ÍÄǸ&”sUˆî]y3ZrT÷þ#y`ÿ¼Î=ÓûÏí¾ˆ˜çX ‚ :ÓË©Ž»TTß4ïn׉k­?|Òo’Z¹Ÿ¹Ô s=6Ö`éCŒžygvÁLzzÎbB‰g²"‘!ÂìC¾VìÀ «ôåUf\Sà¬^9W2S’ú{°B]¨€ $¡tïˆæ¥a5\GQk€ÉGAmB"×b^î y¬äÞ€jO¿ªG‚5¼œÇÓvÉ.‰?ïUy#½ÞÕ;—Kõʯ6z•Fdé]ǃ¸!ßœcºöH«ž‘툔½Ù’gA›tH«  Iýà É;káÀ(K¨KC/<ÆÃÙòãY9U¢ûóòz}n’6Kþû7£Ùr6µ:<,hƒý¸:VÑýü‡Æ v:~‚rC¢.4_d <ŸêŸ‰Ó‹þ ¿Í,•üáÎSz»òñu½ý7ô”ËWt÷ß÷Þ_’K¾FÝ3|¾reå‡0ïçÛfÙ*kQÛc¾Û97Ô"çû#Ϙ֧t¥mì R´49ê›S:ïõqd w3t_£=Èײ`Hðw˜ "’¼“òB¬æÓ ðqþ˜¿'âåæ3£;$òàXù 2Š ÅñîyoWîGK:—š†±/ó؉¶Lâh¾}Y#og|á¦0ÊKgL'7­ÚDXh¦ïÈ?•2ÑMY©±ŽZe¸Ñ e»Ef‰+8}M%8:ƬêlJâ“ ŽØW%›êœŽŠz›iûâFw–R¿ûNÕc/8+Ù¯‡˜Ê–ã&…§Ú'´ü[V-ª[ëÎÞ Ûžzä¡è “+º¦fÏ3÷>ÓÞãÇ®¥§­W–U á²ßÿˆ.$ȉaÁu®]³¶/í2V# r› 47éGXmx²ï§ïŒÛÀ¨T¯a¯š@E¿¼U^Tˆz„ì¥êõÒQyÛ¦˜Yÿð´[¯ˆõ!P'êk–Cת wÊ£AD^õÔDÖ4|&æùðȳhÌÕÎÉ–˜ OÇè9²J"¶U‹güD¥§ _ö®­•â^¥¬Ä¢ËI(7F9 •žSè FÆ}–jT¢ßNÌ}à PgÎ?Yal »É¾͉ÜUô"¹óÅÜëß•ªOù©]Z^6åô¤¸.îž¼Ôf+w‹šU˜³)PükõCûýæ±v²;†0r·q ¢²˜ö”ÿÀ÷òï¤æ3‰Š§nŠ¸É½ÏYÄö­zÒ·–ÓýHGJZQó-û©×•Õ‹®$ê½Ë­|Ü5ï+ Ô¾üMŒª]qþ`¼×Öv¹ÕYJ‚ðÁýšØ€ó3“"NÞc1fË;õJ«‹‰Sñ2ý+w£9PDÎeí=ëžØ>xɼ¼@ëùxNÃÏqà+“Âî{ÍÙÎ!~O–¯±Ê—·úØÒ*‹+À—ýä>pX×Ò•t¢R™'Ì­羯|R¡•a®‡ ÇùáÜÅôS•ÉÒø¾½eid™¼ßx†ârý ‚SÖr¨>OPÓˆq#à™¿1W LRŠ7\gºr€8½\nž*§KH®¶âéçâ¯3¢ðùkéë«ê²]Ö/œ>nð¸Td6ÁÉ%ìÆâ0Ö7½ÔÏâCÉ(7ôB3îG}s®XR£3žiywõd+ˆÉpºòãT›_ðÑÒ-êFVñ­>$ \'èPݳۊº£\î¾ÓÉzjN»©™ŸÙ3žFŒ~e9]ÿúÑ›óO'†0¤­GÂb3ÚþJþËðxyE–Ã{å¡ë¤UÏ&šÌHöQ¡ã;.¤Oƒ†úóØ©¸'­t—?PS’SÑíÏÄY–¼×O®r~ç-˲[bUdÄqœ=€~ ¸E¢b_)~'t*Fc(B^…Û’h½Mp†ƒòeWUã*š“¶„¬Ð5…R¹Ü¬r¥°µ©»ƒ³5ãÒ{?< ös3ËZçÿQ§»¨8„ÃØbìüâr¢'O;1 t6‰˜AÂÔœ%µð¶`JýÕ×/R]¿EÍ9YªÛÚ]Ú‡°Id4ppÏm÷Y›ÓV¸gÔŽïm-í(“ÜzqîÑÕ¸ç|FM#Ÿ–{<3 È:Ö°**P‚‘jµêe–Ö*yU-ïÚV[ ¥£Y>#¸[x°{F–?½Á?þ(È$Øo'šœ8sêr"¸â3Oº>’„ÌÊ£ Ž}ÛC´ô¥PB“:5Ôòf³§A÷‡ÔXò1âô5Ô(`“Yôæó„œfPrä§)…›)õþË*äc·%¤¯<|²]{¾ƒ!f͵ި”uTþþ4¾6pVþhmóî²tŒUb ÚÿP#±"Bû“¢sgMLù™¸ºã㦴£7ÌR”GJ²’{—ôn2pdò6ˆÅï÷9¡)÷n‘³ÃJ¥×®Œšu ”Øû¨ŸTÓ‡È æÀËõ…1^ðÊHÓçîWâ+^$•QM >;è]òô¶šŸ°ÌšÁ¹»};“ÏøX¨]¼/í³·gÜ$òˆ*´=÷ul±ÞÓ­qªÒV—Í….û¯M'UÙÞ âðB«+4Ð8¡Ýïjó7ÍG'_3…fËo_- #N?Ûè¶ ¯L¼O€>8õn21 tY ŠÃ¿‘ÔõG0¿xØìÛb~w<ÏôU7÷:nndÃÍÇãÕãN=,oîà (JzÕ S…4Öe|Ž?3{C„•³¸¸žD­äh+ñÊáì×j¦KDŠú¹Ü塘7UœÜ3'¨!•i[B\$iü¨H í-ÿÊ»¥]ᛲTw Ö“Rɸ7Ud¤kœ+»úŽç'5WŽ„0t¬OëçOkCÕßêõFB{„Æ6@Ó„Î.‰¿W~l­¬”·µVI';‹Ž±MÙ¦Ëru/㲚mK׃1gk¯%jX¿È¢À)?(¬cÒ¶¯Ñ]§¶½ëotÎ.«={.¯z´ªÍœ™ÉU÷‘¶ä"ç°ø-è5n%ØütÏäI©{I/¡møì@‘¢,ÑD¢§·Ç‹Â\a9ºªZ¸ïêRl§€0àÛ”6ŒFä$Dy‡VÐOÖû±½\Ó^ÿ¨mjtû…ÓbtN2JUªÕ³?;g„^JC‘˜ÛYÚ)«¹·Q¬ÕkûýM’9¡×Ö\ÂzQ—¹èˆÀ”SÉm²f ÆÜIP!´Î¿£‰^«ðÊRhãV`¡”;1}OŸ“·öl홚´Ì½óÜw!?ý;}·_4Ì“SÓî ¢ÛN‹Ø+¶»ì6ZzókO–]K9]q»  ˆ?æs¢Ê]e=mËúÙíUyÕÛ? £É·6]nÏæî&(åûjQðœïjX3“ÒùÝIõ0‘W‘á HÙ²*È<-ø–üò{B駹uõw½Ô‰$ Ækšºû‹ÞQô"‚º¬¾• m·semŘzHIâ±Wi‡$\úÙàO×He쎒³r›.–rÂùؤe¯f«O?|ˆ“ 7B£¸B«9"\ö–ß*,‘Õ¥EAtÂ_§Ü »Ý_ ó=IÛµ«øÄ–Nq«&1RJí÷ÛhÕgã™w·B¥–Œ%OÑÏ%Ì—õª.lî&‰šºú±Èfµ[ö<‘ê”/µbT_r%TÑoá‰%Å¢·5åY/›èŽ&$/cÛ矈铅9+M-IȇÈ^Q!yCÏbñx×[%i²í²›Y‘Íí»(ÈyŠ¯'µ¦íeY'ñ…ô`^ñ he£n ÷)*p­z+¼úJÿiì‘ )ia{ Rp?;ÂDáE‘¼³Ç7HÏ+^¿¥1lsh ³ËöÀè4_ª™vy/šjoŽ9NÑx\dïb†_q÷6•ée[ô¢ÝåÏò'þ©>LçWy¯éš>¾[1ÌÏ'üáf:1Ï]ª“‘²dæõìÒzHV°Š² ¬fì§jõ£EøÉ|±' —n£wLþ=å‚$r»£¥Æ¢>rEÏëÚù€ƒW@–²ø,ò|U±eVW3t˜ ©ÈÙ¡n¿ “•qxºÿ_i¬'òÞç…w9‹I;(Ò|ù+¡:TÄÁ»µÆÄÔ¹ßpþ}ÔÔ„YçÌ:ÇL¡âã…eê|÷Ûr•¢«æ#Û6dÉx¹Å_Hø? ‹»6ºÐÓæšüZ‚ýz={u÷«F'­“†¢Ž<–§ÜÎ1çv+¼ô²¾Øhæ;ÐÑDM7ȵa«²ö-FÆ´Ù“ ´<štð„—=V1h;•¿¤sºæˆú!)ÔW8ó¢Æ¾”ˆJõaâI?W'Ý£¤=ŇušäAµ³üï—¦Œl•¯<w‡gÐËØR PØꆹÑJ¬±™¾m(Ëèw}/¯¯ÏÔ?š72æ•8Jh«ÓÙ|ÕÜ œ@îâŠÌ‚¾À¥zIÍZø¶‰SµkZÚ~N{~~†q3.muz$†žÚØÖIä’2»ÙÕ’\r|^P§c/F¨}9óªÂ‰ð{ËoFzROòéÿr$^/š'3‘ŸãY7´ã9™BF7¤­ÉEŠ]]êêõçI#×O¼xÖkî)úVðÖÀ¢¯Kz 7Œ‘CaNëE«:EãB"[ï^G HwyÛ 5b¼ÎÙµ½r‰ß0[®wè˜|´äKŸh¸SËÚV³¯¦€èƒ[ƒ»ùxl> endobj 190 0 obj << /Length1 1388 /Length2 5993 /Length3 0 /Length 6935 /Filter /FlateDecode >> stream xÚwP“k×-D)" — $¡ƒôŽô"½R ]¤A)ÒD¢t¤ H‘.EšH‘ÞA•öG=ç|ßùï¹w2“¼{ïµËzž½2óòq™Š¨À±ŽM,ÆK" –ÔôõuT!` ƒÅ(ùøÌP^hÄ?J>sÎ…ÅÈýD ‡€zá}êP/(8 / ÜÄbž”|jXwÊÉÙ ßèïG@&@de¥…§*n ÅúP/g„¾# ŠL±0ÂËÿ_%å½¼Üå@ ___Q¨›§(ç¤($ ø¢¼œ„'烀¿HP7ÄßÜD)ù3g”矈)éå Å!¼‚!0žøo ðíS=ÀÐùÖûþ:" ù§Ü_Ù¿ ¡0¿“¡0ÖÍŠñGaœ$ 5õD½ü¼„(þ E{bñùP( uÄ~Ï4UŒ(žâ_=a8”»—§¨' ý‹$èWü9k`àjX77ÆË“ò×|ê(†?xÐß÷ëŠÁúbþ1‘( ù‹ÜÛt ƒòðFè¨ÿ»(ÿãsBx’`iqY1á ü`Π_-ÌüÝ¿ƒ_n<‹Àw¬;€ÄA¢üe€'Ôxá¼ÿø·E pÌ pD8¡0”ÿ©Žw#lü àP~€ ¿üëóÏ“~ÉàX Úÿ?ðß· 2Ò21ÕQ¿þ7碪ªX? @" ˆˆI‚ˆD Æ?þ»Ð?Gð7ýß^#(ê¯ñþ«¢‰dþ°ÀßßL|þZÁ¿¤#ü»ƒ¿Ó@ð?°K‚aø/Èÿ·~§üßöÿW•ÿ·þ÷HšÞhôo€à_ˆÿuC¡ýÿ‚à—ÚÛ /},^&˜ÿ µ@ü‘µ* ÿß1/(^&*'üª‹@$DÁü(OM”n„ò‚9ÿY¦?~¨'^S^¿¯é—À«æß500,ü—¼Ä$¥(õ§Ä_-Þ’ xÂ~¿—‰b°^ø?z €Äâ(ݘ”rúõo…gƒüñáéùÛñ¯n0o?ÎïûÆò·ý[Ù„F9ù »îRÞøý• «¯ÈÒ€˜Uç~ì…Å¢³ÏŠq¨šü¯âÏïO¨¼]¾ÿcŽnC¬ð¼ÖÕ’ìj?{7ý¾ãdU#)Òñ‹ðÝ!:…ŸžzÞb˺--Ö·Å1p'Æ:“nßå¡«Â{KcYkZòüueG¥Î;ä5›¢—ˆâï“3ÉȈ_" oRÉj*S}­22Ú¬Ã빯<°õˆ]síGzG¯˜äBçT±0!j>u}Ê]÷ k]ññj›‹îí!`„o±Mƒé8Q0ô 1ÑùµHô'5jÖ§Œk™’¥h¶N÷`Ÿè¿Žó¼;Eƒ­EÑ+½3ûÔ<ü^^~ª¬”¿ÓÛp,Î`..”¾º÷Øššïùc¤Ù´^Ñ\_yó;ò–Õì eƒ{É £.‰¤³zR×eíeN.çmÇà 穀¦|ƒF…„š#ØžŠrØÑF-ƒWúÌ)ì=‰F¿=éqôà@wM>ÔŒ«›Ò—±šÓP=9ˆjû²å_?¤L¯º!7µ­²Këqj—j{Hza쓲ç©q½læ ÓmñUÿÓþè>Y’îžþaÁ å­£ý`¹Ùbÿ ×ZôD3Y¯¿®»—AÚõ½Þµì (¾,®ŒÈÚÞ,3³Á]½ò½‰AJ`@mÌZo[oïnIËsCïIƒÛª¸+]Lë?>ªÜ[ZK^R`[i¢Y®úÖ·°;=Z»#!ŸõªŽ-_ømýtï>G|pfeŸy)•+Ç&ŒÏ?¥?„²_/ÍX¨zpÍ°+v¨ù+U×Ïq}LÐüÀð³y/oEÖ7•%ñÅM£ÿ´ZíážÍVI4’dz4µƒøÂz›³çk·v_D²‹^ŒŒùF¤Og6Kª ןä &ÂçŒg]Wx":2Ö®3€ÖkxnôxŠ\Ø Þ9:q(évÙÍ\‘çæ¢Ê­ ƒ–-ÖÉ á÷F\ xæcšøG• ´/9tž¼^¹@bgÚO…¹2wà ÷eØDÜr•Lºù“Ž¦À›ÈŒõˆ×¶É½ÑÔ×Ío…F©¾Ú«L³'7¯X¥V€÷¯¨ó¼Mf(øøB-AÔ$ZÑÑœ×m‰™TüÉ#Þ¥IÞakÜ.„:ˆ”éEe||IèÜ\†Ðý䉱VØ~žuÍ‘Bhdë~iÑ'Hûâ–·Ï#RÜÐyÇBŸ§õÛ u²Û¤¢ 9°Æ3VÚVBÈ“íX$mº§`x¡Ä`¯†9y² nÎy«¡;ãªm>[ÞüK)ç@qÿF·¡$XçØ8#j#:œo#qg>u4ÂÌyd!Iz²5ËyÆ ã«€Å=°ó=Ð&¯â{ñà¶!À b?;ÿDTù+a_þ°dÚØ»‚›ø[¯«Ò¿Ö3ü`d¨„Óìeq:]ÁšÇÄ”¤¡ MŠ ,)tê.wD/,“cLéÌd&—N³£ÏÊHIç(ëÓÇ{¥hzýSزÁ?Þ¶¡CG­F•§[A??av!‰µ\]þr.>G>÷·hg“4wAä#(L[—ú]¿SÕ¾Œæ¬»»tb÷Ë¥›wôMZÃ'‚ÏnÌcì~’ûZ‘“i2S~›¾s‹)°ú[BMnÍví÷ý °_t[”å}&K8¾Oéøií?˜öZѤ‹6¨2¼"¾ èNj‘ð»~ÒÕ@ÿõƒ7˜ü͆EÔúò=–—ħœ×hb¤lÄݲ¸¡PýdFHîÜ×bÕ¯«Zè‚B]wånZÝñÀlyÜI+„ðÌÜ ¼?_ó8oÏ1;î-lÒö@HI)Å‹¸¼Ø:Û2[½p–mÏú™¤H–²­Sq…æ’Ç…Áä€'Ûº :QÐòÕÜ3Á–T^1ýÕä—3]7I†3;ÙÖÓ³ƒÂ¤h)£&ÙH³Ù¨žž©7úN€ïvØ Î©³,ÎK¿Q 7=SG£Í™—H¾L1tHê4°7šÆ|³7´w‡vSv ðœoÑu|w›ùâ…„¦kn<º"8[Š¤nŠ÷aY0àWnȈÅÂeÛh-z<9 ¤Ê|¥}5ÌÛBaâ°<±9[ŽUš®÷·för‘+>aç™àí ¦¤ëãpøæ2†jY@x¼sÞ¬dâÞ0ìŽ×*\ š<ó^Þµ„iõ¸¯¢âòB«üÙ žŽÊ(3úÜÌ<éP“IžÙ€«È'–Ö„º¹$Ú,édöêÖ…¼p©Sô}}Ã\ðg”ìå°öÉÚÐ[s®ŒmÜ ð2 d¥ó©Nö;p@•ÿϘ·Aq¢9ù³G-›6Wž^|- Ü«r<–Ôt±ðkÇ`ŸfÁë²Ï„§Ž“ü ŒnîŒì3ÿŽÃšiar$%¯?Ò«@,V¸eíT-=X&p˜×(féjÏŒTó­Œò¿–,üDÔ¢<ªT ãK¹QõªÞ‘˜Ú¾7ÒtAF³Û§É4¼QöÁ†Î*‚'æUÃ@ÖÉ{ Ž%í=Œ!(¢äp»½ë^.ADÉXÿ}û U´.”…"¯Õ½æçgØtGéÛkO»ø̱:Cæ„çtqaA_:^ŨÌô¥9ψÛH,ÔldÀØV•ÊùöÔƒè«.rF]ø^È+‹²MÌ?D$ooaN?ÛÌg‚ã*·ú:²i¬ÑU|CÔ:N•: ÎííûNë© iFâþì–²¬öŸuªlÖ_Ë}¾Û]›¢ž£/ꘙkÝž< ̼ôÕóõ𯃾צ°Á.šçObzs ù,ÒÖczo]6ö×èOÜ•”UÜZïÑíéa•ÿ)´Rt2›-·¶þ¾d¯“¬xx,¹šCúŒq¢Ý`‘ý]⹓ЧR7ý×ÝÁí‰ç÷­²¨ÇBŽÖ©w¨Î/'Š5?óö©õFoôN±díT LG<õs/se«¶ív‰ò|eߥêýg„»LcÒ½ð»6å…òƒé·¬cÃÈ3´•de/‹ÝÒnØãúç{…M­jVbåîL\2+à‘Vü˜lÃÌ ã4Hj?©ŸÕ^úŠPnP3ÅRuÆ(V(,›Íî.·µ9‰Ûç^³‰ð{Ã…’Ê/Ÿö|ú´£dê‹õÂÏœaL¸·Ô´PrC˜@áÛ‹u—Dû=//U³P„XLtŒ,«}e|–ps<9-GušHÆÑOïʽ}ï}6ŠdåhLø^‹AÞ¹W—ö'!'ßÆ”¥¬|«ð±ôxþ4i**ã Vc©~"Žœ§õdÞ›BQ‡òâ¤C GsR4A=÷ ä@Þ­ó²4L·&ˆÚ™ªAÏŽøçgÈ ‘‚<&Uåsbç9’­rS\.­'JJ&Ëù„<¬éýж¤Zžñ¦<jÎsM2zA?BïQÈm[›»ˆP].Maù¥QÛ¨P!ƦEySj²íd&õã’ŽÜ ÝÞz­ègKµËÇÃpöÕ¤%ÂUâªSÛŽÜ&ëßÕ¶¿!F¹ë¹Ò…q먌ÜY‘¾U¢bë(ÕÏAI%?J2Æèoµ†úm,&zo]W¢{Mv‹z¸'3®ëÆÊê†ÍKÏ6ÍI´"ÊŠ84íH¾‹ )î}wÒwVÞê¸0ü‰Ö1ã$Uå­”Ó´…ìÖS¸v3ßŵòÕO>j­Ž0k#c•çAWD[̈×ßËÜ»"~6ºJB`FyÁéär'•;;ï§;%K Œét§:äp‘XŸ}©¯dürêÔßój`¶¶ƒÞ@&äÇÉX›î­XÄë²¾%»9ž´cm ¼)Ëò#ý=utEÝC´Ê¦ÇN¤ ¼–}ü¸…goŸ_þGÈ#=#_¿Ëüƒ/Ýjĺ]f×.Pó¹——²—J%žÅû›wÚô†ÄÂG!ºÀtáå@‚5³WÎvæCÈoÿÑ‘d í$s )Õo7ÅMÁwK_/…½Ü§\w/\Úx¤m¯-¼]±|Ø\ÎMÒ|t¶”üÐÉHSˆ÷™Ü}–e¼¸íkJ'$λ9úäl¶ŠŒSÈ.äª}ö5Lá[ê°Z™“¢A¼ÏñÉÒ=’BC8'J+ÿ(Eî1ã ‚X«î]çòO¢±0†ë"“±qn+ä1J-µÓU,,÷®Òùmö«8ðèSdÒ=;_(#i[©Óp.hj%ò­‘šË*C‰ ysÒm¾¡6©3Íór½¼[6åEÀªŠø:ºÖŒ°Î𓙇 ÄÐ¥·~$!5hþ<¼£Ñs´;jY×.ÆÜ8òx8’.ÐH•_#¥R˾@PüÄ®›Þ»ªö¸ÓÌÅAtH¸'*þâ´Zë'8úÓ:1AXÂÈm½ãbL)µØYr±ì‘3¥4)Åú"<ßwþ\Þl«.R”BíЕPÉ¥WƧÍ% ÑEPë]\»õšˆÃ®hUSÒ¨…pq«H³ ; ²ïY6|ÝASÒêÀ„H:= AªÌßÄÓ[Ë4n׎ FÚ@âŒíäãO¹ÑÞö²5opG©I-Tyê&½Ú¦—7kÕ`JŠà5CZÄM‹¥ih÷§þ¡ã•-©Ñs²ÏÑ6튼ÁVA(»&ÁòN¢•€‰Yý¥"Ùõ:Ç Œqâ=ГjаùBüÊœ¿ˆx5Go'Ù¼¥L0AÁE¿ë“«ã)Ps$ý”>Òžy¤°r_¾ºn@¿ ìPÛòläõv>Înyž#’°Å‹ÇI³Vn»ÒvcÍ´ëòTGo(Í4AÉ^V„ëRÑ£;êçÂ\÷Ûß}+0Ð¥A[ŽœÔ¼ûòËý¥µX+ܶbcÖ{Q—MP0Tm‹òì,é9éÆ Ÿ:LŒÁÿrœ¢_ŒÔyº4âçòÏrèc0$Wc×U5ïb Á/.ßï‘é$å!BÞã+Ù-£ —n]ýöAê-ËRõ9QDàsþ`£G>ñ²lWàšg ÍŠ ÄÎ;ý›Ç%>œoúO²h®u€ùN1•Ñ¤3ô…›5 ÜNéŸ ²}ËÎ 6œTÓ#×”t= s gÏpeï$å-TÏ5† RzIóÏ5…‡ø¥Š×X)ÝÌpiªv¸4›isÒЗ©ÙÓúí¢‚CõÙ±q ÚÔŠÚ+æ]ÛâµÏ¶4±j=•9¥ÛÛñ¾†ƒùÅÔ—U>ÄÊ‘1×Z;´ôźXLÜ™Fãß%pÉd\ÃÏ÷ãLÑà]Öðñ‡$ÍÁ½;ÓcÒ[9ßi@ǦÅÝÝÒË¢öÉcJ°¼ý/ÚÊ/f›[!®› Ò6.&¶ºB1}¦ÒçG¢€$xí"\bö`.‰˯<Ý°@ine1ج'{XÐÌ-ˆ1xoɪí^û\ØÊý¥G/³àsã I{H°bÁYÁ+¶ê/•H n’IåŸýÒ‹E#C-àO¥5×ï:“ZûènŽÏ_ñq©1¯¹MÉÀ*½=]pQ‹‰%½GÝ}0¨£·dßi‹¦ÿÀþ^òùLHÇeõÁþî7ŠL,·µWivÞ'‘+.|,•O€YŽv´kŸEa–?¼LN ± Þ víjê¥Í9ÞIÞêVù‡Óâ¿â ºéº?Äco·U„Ìœc##jý(_Ïa,©¤@D—™a¼u<$.lI0~ÅG»ÙE½ƒÏäÝuá—.ù|*dÝùÀè~›(NIIÃ{ &ÿÞ¶ÿí¶vb‚á{?öÚÛi»êâŠUÎ-Ïܾ¦¸E»#A×–+7ቌüúTL…!š§Þ ¶a2:ãWù¿‰dõ#;Ê2.=«îë …Í2¢ÙæH¯¤î®9'g¦Ok}%É'ê:>¸¹WÞ÷†¤Šõ «öR¨ç˜$1Sᢽ}_X@iç ÇqjwyQó±ˆìÔQÀ\T{W¬÷n¤€™à§uÓ—+/×ÚÕª?¬a…n~$µÔ½UtùÃC1Â.­RB ŸˆX~‡væ†7 ä4ÅÅ£ÃÞÄk¸úzù–l!GêÂTwH¢9‘|Pš’'¹6ÀT!~ÞÚ jÃî W²ë#"Ã,ý(ýaæØAU\  Øsõx“"^¹K¬iè£cÎÑ¢ñ&“檣ÄÈp.í¦ÂÝOk¿FÞ¦O:|2 {{ÈÂ=³LÈÜZåzB9óÜ-ß*e‹4ç½ â±2 G…å û‡—H4Éwzò½Ú^¥e§˜sÌNÚ”¯'bHhgŸa-ltó”F.W€:ìu:¡‰i63·p¹}äd\ÂëŽR¥Œd#Ê/&(_}6V¤r£þxn8Ê6cz2£¹ªpö]Ñ~òuøV»dL‘ÌD:øü ûŒÿPË^±­W9XjƒwÉaŠ'Z]ÒA=®ý]ùm KÂZäø.ÍøCãæÛý6u­¤EUm…:©œPïAõõ®ìèKJ)•Ë`¹'-­û«L‹Ë*QøÊ =Û¢»¸€h&xÈ5¬ø3VÛ¶ÑÌ`ë«´¿/’g¦_ö6u½–ÃÇ­fpk»:ëQÉÏÿËry] endstream endobj 191 0 obj << /Type /FontDescriptor /FontName /PGRSID+CMMIB10 /Flags 4 /FontBBox [-15 -250 1216 750] /Ascent 694 /CapHeight 686 /Descent -194 /ItalicAngle -14 /StemV 113 /XHeight 444 /CharSet (/greater/less) /FontFile 190 0 R >> endobj 192 0 obj << /Length1 2622 /Length2 22225 /Length3 0 /Length 23710 /Filter /FlateDecode >> stream xÚŒöP\éó ãÁ î0¸»»wwgpgp·w ÁÝ]ƒ[p .Á‚ÜÉîþ6Ùÿ÷UÝ[T çéî·ŸÖ÷*2u&1 '3 ”“#ˆ‰™• ¡¨ÆÆ `eå`feeG¤¢Ò°Ùÿ#Ri]Ýlœùÿ0pš‚À²7¦ °¢“#@ÎÝÀÆ`ãægãáge°³²òýÏÐÉ•ðÆÔÃÆ È srº!RI89{»ÚXYƒÀ4ÿ{КÓØøøxÿ:sºÚ˜›:MAÖ@0£¹©=@ÝÉÜòþ ZAkÈ™Ÿ…ÅÓÓ“ÙÔÁÙÉÕJ˜Žài²¨Ý€®@ À¯„J¦À¿3cF¤hXÛ¸ý-Ww²yšº`½9ÐÑ |ÂÝÑè “ÔeÊÎ@Ç¿þ6`üS3Û¿îþ9ýË‘ã_‡MÍÍœM½m­–6ö@€²”3È Ä0u´øehjïæ>oêajcoj6ø+rS€”˜*Àœà?é¹™»Ú8ƒÜ˜Ýlì¥ÈòË ¸Ê’ŽN@Gâ¯øÞظÍÁe÷fù»³vŽNžŽ¾ÿKG Ë_IX¸;³h:Ú¸¸eßüc!þ–YA.VVV>Ðô2·fùå^ÃÛø—’í—œ¿¯³“3ÀœÐßÆþ‡èëfê€\Ýþ¾*þ‹ÙØ6æ €ÐÊÆñ·w°hù77ßÕÆ  Ï ž=6믿Ÿ ÁãeáähïýÛü¯þ²H(¿y#§ÅðwÆÿêÄż¾Lœ¬&v.VÛ¯!ã?øÿ×Í¿ø_òIULmþ –N¾¿sïyxü3´ÿ¬ à¿ JNàYh¾+«9ø‡íÿóüuäÿßÜÿòòÿ6úÿ7 )w{û¿Ô´éÿÔ¦6öÞÿ€GÙ^ E'ðr8þ_Smàß«¬´°qwø¿ZY)x=Ä­ìÿ-£›”ÐBÅdný÷ ý¯ `÷ö6Ž@'7›_— € Ü°ÿ£/œ¹øBq÷ê/¼Oÿ¥”t4w²øµxì\ÜSWWSoDpëÁˆ àËÞP  ×_£ `avtÀéù,\u”› À"öKô7â°ˆÿF<àIûx,o~#>‹ä¿ˆ‡À"õ±X¤#v‹ÌoÄ`‘ýÀ| ¿˜Oñ7ó)ýF`>å/˜Oå7ó©þF`>µß̧þqX4~#pîš¿8­ß‹öof×ýñu¦¿8N³ß‹™«©¹üŽ±ý–sü+ÿ{#þU€]›ÿ‹¸ÀÎÌìÁÓð? 'ç/‰ƒÃoÂ_cÂbñS{§ü÷/½‹;xµþ'áž {S‡?¼€Ëfù‚Y--m~ã_Úß‹ãôøÍÊöKð›€ë—¹“»ëîÁV@°ëß9‚aííl tüÃ,ûƒŸœ–íÜ»? ¸lö@pMÿH |G²üöÌ>êÞ­?ôà9ý|Øé?jp2οÕ`gÎà©ãÚËÉöô¿ÍåGí ¾äœþhׯR¹ünÎ/ätûëøw&Ø @@ 3ûÿÐppþVü—‰ƒïÍÅl¿ùGØÀUuû] ð!7 ƒÍ'Žë— Ðãfp¸_Rÿ¦.¡›½©›õŽÁ™þ¦ßó, kWàc .ÈÓé`î@p=þ€àÈ<ÿ˜>ði¯? ؽ÷\.ŸßÁ=ù]ÿ¦úÏ]iîî î请ø"ýþë‹ôš#.Í;™ „ÙÖ†µÝ}#ôdÚš¡ÚÕN£cò]rmw@}•LW“²îz#–<Üózu[’ö‡è2é“ïQsÝ«ˆ–DÕÖŸ~Æ jÓ»­ˆ‹S8“EGb_ú‰ˆ˜4D÷üž\ü´‚í ›!;å¨ò\ÜyQU 0ï<û¤½¾ô—¯Œ½ßUÝ«á–Gz,ÿÊ«c\2K•o–=‡Gb"†§Ç8÷B›ýq3ƒ‘;ùB*—À€èËQì«·Áþþ~Îg­RƒÝ­ Ÿ_úÆØ4µ¯øAŠî‚oiñêÀ¢W³`1i. cê*Ókæö̵hÇÆÞÏcKl;yÉ€0ÂÌÄÏeXÆ®äÊØ5­Æј Ïv@âƒKñµ¶­nKÛT¢e¾¯_^³(ºÖGAMݾ?ë\Ö†G˜nߦ¶Ü 7Žlwûk—ˆô‹Yy²ÑKZë¿[]áÏ$N…-Cuie±^3.{$ó>š† ú†\ˆ?°m±²êñÂöBŽråù]¼÷¯ª?WêؘE_°÷Ä0 } åVz1ëL=?/·æ4ÉzK›Ÿ)Ù•ÿ-ŽFU X?ZÎr¾Q…Ãü¦Ì›TáÃ×âÅ e1§¬tïîBõð;ƒoÛ{¾BæS­*ÍÖx®BU²ãh¦ñƒúà!ñÐð>¾‹ƒ­›Š q#ìC'­ûó*ÏHñá÷›>z2–˾¡¢)^Rì—?Œð[2\|SÜ‹ÿ)H'êGc{m»ò-rÖëµ÷TY{+ÐÆíÃZÏâ„êw>½ _Ç·ÉF§·)}í« J8ûš\1éÐö Ôd ÛAWëB´1ïž-ß5}Óô«[&úœ9;\?ƒ§xÕÎÁŠ%}7H/?¶@ÍNe•dVãq+7†ŸÎèî XÉÞ‡çóÍýCz^Ä,7}F+ýG”þ”Šé¾Î‰Òu‘¾Bù$s:¼ÑÉÛMƒs«\PµHÙöûɾ럎pGží‰{m”yJM™EËÊ7ó“¢ÅÚì^¤¼.d _«· ŽvØ´Xb†Ä…D?_?œ±~èÖÍwò¹§<¹Ÿº ¢ê«êœÆöÜü¶ÉnèTÞ»¨6~‘µEs?Èw8•‚Ãå¯gC…_L±€/òæ¾ éZþ –B) ÃSpäR¿ô¤.c:šùT“#ísWÊ÷OhˆæÃíØS›ì£µÒCݼïŽ25 ZÁÃ|ÎÖ¦þcõ¹âñw‡>ÑFí¹·UxEU«fT¬Ki°ô&G¯úò×Y,ôfÛ·S©H²çó“h‰Ñ©‹+°ì –ãœra–K䈮ßfÛ TûŽv!ÑR´,êÀ:JÁ} ‡†HƒãõU[tú€ÞݧK»c¬}e&ö(ï礈dŒ9?“ª¾þL”ÐŽâ½£xðÂT‘÷Ù¨ýÖ”C /ªÌv”Ï’ !uAšÔÀáMB‘¾mŽ¦¨¸0%ݯ÷´¦íPùÒâ3#‡€a_~_AÞ#'\ „YÔÓ'òß×¢‹‡YUZ±ÁgÌ? þVr¦†Ó„SÜÞ*;]Þ®’Í|Ю3äuóÏXBG+wðêZ5¯ECåå‡GhÞ="p„ñƒóó2A¨k uâCS¢;ÎE|XŒ ƒ½/ü-Põv>ÞXÔ—›ƒ@f]ÅÔcÚ_sÛøSî8Ö€^ }ùÎ`,FMœ"à™sÐ[ßµò1„à*Uœ--Åü¶ñÈTŒjefåœ Æ6^ÞŠy’ÐãÞ·áV¹BB¢äRòRwùf?Ó:´‚ßÛÓÚ[Uwg/›}­Š]#k:(ŸK™5Ø|º7åTeÃý4¨àÛrÑ*n*+|p3²;)p³xŸéˆê“Ð ÿªªp¿ˆžH!Çßð=úy¹+Ò»â‚òP¥7ÑŠÒ<|”² 6ÏÔ‰b‹V„›ŽöÜÞrqRÊõ—‚ò»G*ãEÊïÅÄðF<Þ&~ûj_@½_§»»PG³4¡½<µJÝUÀ,xÆÇÎ`±A°YúêŽ`–CÐ#È;Øç#&S<—ˉèÍ|©ŸçÕ¼µbs¯*ÏFv›dÖç,T_d7óLb0€ÊŠN•€xÖDoÆj×úÉÓÉHv*xœ Š<½ð1t·¤Ö¸$«ÇW±1ˆrW›S¤ëo7σhIÄí1§OÙLVyÝ™¯ÜN·—È®„Î}†ë¦©ZkÖó¼ ‡XÓÜBÐç‡ð1´Ù¤¼&OgR×VÏ ±õ^ZÞ?ê—ѧ³É )|ðRKœ=.»Q²‰ß&¤ß,ö—2»ŠóEQb;6éJTI°=ôÊ-D)nKy!¦ì”"f£å?AæÍv}ŸM´–z …CZŒQºz÷R`c³Øâ¹²çç 䇪×ëômï>æ'o÷c†a–C»u}䬗ŽC‘4 ×:,°Þhî£ÂVMœ*vRiïÛšF ¤,o'Ÿæàh»Uá[à;Ö‹uã‹€¤1Ù®"A9v]Ö¾çWJ*>r›ù1˜ÔH* gŠœeD¬½NÍÎé‰QfG9Ë®}†Yë¹>p¬ÌgöR¸K®ü1sd\»—^ Ãp壉wyŒêg„Èá$ÕäB)úòU œ‹Ø#%À…q¡¢IhÑ[u*/J-òS¡wÇ–2‘~bÎ¥tÇWî,ÌÎ#×*þtUïÆ}ú®ÁŠöºÌ [•$¬_½Å;ž(íÖßÌOªFÉgÈEùàà]MgSÿÎcøжçF»4Z¡OM܈XMÜÔ¾óÈë‹qÞ‚n6-—bI ÌúÞé ÖÙ»W˜ï[«Ðê K²Ø…oô/å“ù3I:=zC­M4T¾3¯ªÓL '³^²6’-ªjCšc^Ò%º]tÄ®pMym|}ì¸ÜÒ¡ü¸ S‚eR@qL‰N5þ†cd¾b…õ¡> g N Ö„äÓÔI©¼xÄ·sn`_C÷*iMB¢pÒ}§ªsÂ[‚Š‚Àº®· Ù÷õÅ—,±¯Ôñišðï€`ä>ÛŠ~Çòªø*IË*="0Ñ‚½¢êõ¾l0ÉNƒ¦ù<çµ@Ž`¼ ¡ãâŽ{0È^A‚-Q§À5NŠè’°Ðçòµ8Xd'zʇMB¡‹¨P…­7€8 ¥Î>ŽÄQ!—¢¸<–lO{1SO OÒVÝeqpVâ’çÔ~¾ó£ë]YüfúN&¥jC¯y¦†Ó=VÓ¿³¿o¿÷ºK0M6š¢›|üâžlR~Vw·t&_žêÀ¼X²¦é˜äg¦øÒ˜¬!a:Û-€âj¦ÝuL_õ­‚u¹.ÓnH€ºë³·)@QEWºlnJ€„&–ȦlW':\”+èÃÚú4-â]V‚0RvohãðÛˆ‚×ÛnØ®Ø!^«)ˆ{Ì=ÂËSó55ù“v©ÕËö}Ô)5‚ûËŸ.ñt–Ó;R>™&ƒ"Û²æ¢ê2Ô)‚/°mNa€Ž¼˜ÁÙR!DÛZŸË9ú¯L«Äȼ½Û¶ù/f°rÌÉ ½ÎaSBÌ&Ÿç£6Y,ý9ÖS2F?n“K—¥ WíÓX*ºM¿š%ÕÑÖ|ò¼©olÒí«5B š] ²$“é8‹V–yOj|ß-pQ;q˜°%×ä‘Zl¸JH¹ôªm…FÂZ$˜+]0LõdôS÷…hb^6B†ie]VºX ù»·‡öNÚuŠ´—qp®%+& SŽº¾¶+&~öPÄÕ&-4²öyOŸÉvëǫ́ôŒû&ÀIÖ¤ M8›!/Z)ÛA›d7žfn;ß= Wñº{¯Rº^¦¬]%»#Zú›»ô2pu{=­Îe?Þu£j2VAv€òèöløe.ó:”ÃûVh«ÊÁ‡ÄRZÏ.Sp8•î}LÒü‘›}>¡9á™2zTqš'‹]$(S>ÛFx£â±ÞTAJ[M BxÕ:G"mXrîp˜f8Ân‰m¶dDWãƒ-'CŸìšÔ˜2;þŠ¡ëúúøÍþ¸Øe ’WjÅÐk€D1:òSy<#ÝV‹iyÑp‹õÖ$Ÿþl‰û ¼ú>Ÿüü0ô> ù2SÊO«áÄåPý-(¯hB—ÁÐBoYÚ”—6Û×\ %å²]æõþ~Ö$]” >o¶05'{â=[ucÚŸ*õø'Îöû&‹ú³Ø:/ëí—€]„ƒ&îw¢P~0•Ç¤Øó«‘uFËÜ„§,9ÞÓ?MLÏó1>¡¼Ó¯™x÷ÚäkǘdNa'A7ì±) !r¾ÏžÍ¥‚i.†¿íȧýaÑŸ…ïvýû½Ðöδ`_¥ï:F¸½Ocu¤GõE­±Ñ+ó¹ŠNÁˆnÚç=!ufR˜¦*ü }&o" 0©+¥ê1I)8]ëv+iñm02xŒ¢ÿ€=ÿ¤:²YªdfΰÒÖñ-,lj!v©D¡ÍgúÊê»Õ¸éÎûx÷:©¼étÁ^LﵦòÊ)¨ú6¨!«›NvÞxÎR™Œñ‚Ì…Ë £î) SmVšæÉUòmñ‡S<ÂÇtEWé2Žñ9P-¥Ub<䇾oÞª ²°ƒžû¯ïÝv?ý´ã“Õ¹þ`YX–5 ½õ2ùô“s风äqIÊë!æï›d]S½äôr+ê<¨]˺$5ðD°g¶+(ÄÔ_—Ää*ö";›[á1–1„~¤(åïRr{Ôªhè¢GQ¬àU+¤¾pN”œî‹dBLÒÜßöÞJáZhI+Ì32ìã¸aWJ?m±4•¹Ôõ ß@ZÇô£UÞßë‘Tú„½)‰"sÜ122sE…méµ­MvÛ"…_ †_6'ZoäæüR[ZtÐü§K$\ß áh ‰  Yâ=A¥~HRñ€}G>Ó&3C1‘ ‘׈*uû`°Oðtk4›ML$ŽÐå÷] ðÆ /EÆ}–ûEµÿi*&[•cÈLÀ‹¢é=)Ç©ú¹­úÉ UH.á‹ðH¾òËi±«Ö·à|/ÃOÍpmÂt[g¹Ýõ†AöÙ÷Ð\N¯õ÷ó§¤^3*Q—Ò`Ú”½3ø¬¤Ú-{)3;~=EÚ%¢Á"º(u†»¯ô‚ôJ]§{õ³`%]«õ†ö<\p;§e³Ô›Fë¸æÅ/PtFê°ÓL$᎞þOŒH‘zJM’ØS×5·HºH±j°ÀzŸžÙ›sŽ¶¯ˆ ‹ “çgÝM.“8\©ãL¯îØPhÍ¿hõƒaÒ¢hšó¯¹e‘ HÓÃöWo„ù‡µŒB Ï}䣗eõÇ™©7 ÷]Ć?ãÐ\ö¸vߑʲ„[* ÿ¡²^:B'É‹ò¨YœõàIW}n…ùnÛe–Ö¢¸¹f;Òú•Ë RqV›› S³èDyhiž¸mò*?Õ©¨½ò‡]€Þ¥›_xˆaŸÂ\:æ»bþ Ëò9‡¶’1Ž³¸ùsu$ö>!ü„yý/‹‰rY«_pHªˆ.qÌ—ñ‚ïÑüàFA¶lÓ™bû®Ïï°«»¦«ŸñÇäŽ5 BC.„M®ßóóð°´EÁÉMQ¹IR¹U>/k|š%ך,q@œCI$c{Vp~Z?76}ƒ6³Ü —B­±-jÛTÄdb¯£Â«ÝI '6èÓ˜¥÷…~¬½½þ#{ê§SÌê} ] ÌôwÂl½ÖçkÊ%ízjOtÚÆ`ј„¶T¹ÆÞ¢òŽ\ŒÙyÔ«>³ù±–\”Û›ûزñ5qqçs·Xá£f#> ä(”dÉìα”zl÷´ùt¬iÓMö>BuM¨FHÿAÏ°”é’×( †ôqß}Ø9ËÌoo8)/ØW¤>ÃUy .šl•nðСVV÷.!³æaÉN]-ê…¶Ú[6§Õ¬quœmœ€N´„PFÚ¨W ã Ÿ±¶j9´2_°çu¡¢·=$÷øÌy¼Ö‚¿lÏö½?¼^G®öÏék¶Ç´÷UíSϯ:ž?ÔÛ9:@ÈÔ³'”íO\Pc7=bá7'W£ø<£™ÍRÓn¯¼ ˜hõŸO¶‹îCœShßhn$Z+F 0Ã樕œ(‹ÚdVÅ? gò8ƒô=#Ò?WŒÄÑ…Z®É:}ö˜oº+­žü±E2l·Òx‹1‘X¹õ~«sÿ“ám³*ÒK‰åà8 èó ¶n]B¦˜“+¼È Ÿ˜Ù52Qö,p—ÓòéÌQN¶–T-*E–é”yLèŽg&GÔΛUκ*"PWw¶šMJÌá€5_d#}-³k<ÁÔRÈ˶™“¨]eb"€’å ‹Ñÿ>ôš(‡W”æJ‘u3áå¡L3>ïµs‘†}hµ¾®Ø¯o`ü”òü`ÜI— “[^×€4ºXøHÕð\> \âž,OÔÃ(§²OÆ¿¾3”Ì!nŒÅ¿ ão²>TðjÑé`âãÈyë)Ø|±\/À·K^Ð>©#üsó…W+?<`ÇŸR® þu­±Ç5Å›å¹o¨ëaY.†ì=ßdi•ßžÿ´ ý†#!`)7õóK÷ öÇó¾»ç0Äð†F[J:¶X3çb;Á¦ËìÅ qvh\P‡JiT~¦é Âg¼Rÿiû¾QYÐ.²À>ªaÑdÝÕI˜qh]a2äPüã•xÆ+OzS ë×v‡âÒ—ªÓ¯?Ý:ºÍã>¸ ¨ïæà^d«[ÔRõ× æá;VN2&=Ö¡T ÂQíxgÎòUœð®<`„˜ÐǺÛ<2–‹ÜÐíå"ð—Ý ?‘ã Ø3鎻keUv:Õ—ý°R}>mH‡ “”SXûo ° ¸mù¤nªµHìr…¯#‚Âz?¼J)ú¾š—ס()fYÎz¦bLéDVŹ¢üéŒd¸ôBꉟÜö…ͼ{bÑm²-Ñ*âNŽ(N Â…`ÜMSW>ˆkˆ¼•}-rrs—øìõ‡÷¯Z¬«ŒŠ—ŸG¬U˜ ý]ÃýÕ’¿¤¦n²xçkÚ^pÜfè}}wª(LÛfAÕ ?Å\˱ƒYëÉM´üÈ]Üñ³/± šï¾j%ýœ¿ªG<ùçýJTØ8rÚ&SÌüÇÂ|Õ÷ ãçé+ôrÄøM¥·!U–þÓåŠ4–úדvxjÜñvv²e[³‘Ü€ÜY¥{\Aú{ïÂ]ÉU®HY‰ª)Ü­Ç)ÂÒî×·öõ éX|^ê“Ê–U:ºï…`žé¶ yùN‘-?&¥¢óéÐ@ëY¨1iKÑT¶„×U#œ™–S¨‹ˆºry]gPs½²¥H¯¼ÙsíüÚg<]ç®ú!MJï ™­õpNÜìE9bæÉPÝŠ­QgÙË×\¬e«‰Né*ÆŸ‰Ñˆò#*Aî ¹¯EÙ$^|ˆn:†ˆkÇÊɽ5ýU®šT\‡èGHwÓ7CÊÝe{ÙxT/»Zk2B÷…;¥•/ ™›XÍ–G^ t©#7çï Hˆ­„Œˆ¢“V„ÕÐ f•ŒîŠª4}õš4ÄU–jû:ýûË‚ä¤Ä·£V½=è’LãË7x².k/p¼x ý/[mf‰;ø šÄaõ¢rsj~ y’=õsì(‹M+æÎ,r ¤ŒÇYxs÷!7b$Ž6+ÁŒHŠÍgü Ün_Ñ·rI³SRôk–´D,¼Œ=e29ÄMÆAȱ1ÃÖ: Øyÿ.·¿ÐzЈOÕoQ ˜UIÆf'’EÀ?xÍ„kÕSï ¿åê\GÐûÎ «â”ClLÙÁ5rP„Ïi®v2ÝÉœÓ4ûc¢Æct¸_\;Å­Æ|™ˆ•/A'Ý_íعy4Ïqy†M­–MM‡b†_zØ9}åxÕ®é4[WHà¦sPßÉñ G6Ç,,™qœBšÄ7ª½ê¥œîŸöDÅÔ Iƒè,êT¼™ßÈñ¢e¹|åÝÄ´ón$i»è Ø» ‘, ÒúÙYÝÀ4»´©ð%~ £†KB_ŸY†Çf+ƒ˜€¶¦öë*“p» ÆS7Þ”Ñm! „ÁüÓrßkÇýVýuýC­T[¾½D™Kk¨yÏc§æÚz_Ca(ù—ëã=FjƳò®ùZ”ÝÞ‘~Ú¡®Fwðbø†Î•E;0DczsLøýçä®TÑÓÖZ€T»§àÒˆH*pЊöØ)47yA‰idîΆÞ<‡tÞ ¹d×8Ðkì.sŒIÀpÝY«SMü‡Ø“üËq•_©N@NœæLݺÚH<×7à=§ÓnDÛ婪hÿSg±–†pÅ”m³ñeÔ«òË…Û’ø<ˆÏÆÎ+¢§hþö‹>ªîªÒþÞj™DÔ µ®&¾——%¬"”û·´¬wÙ³8´Lu’æƒÐTÕ®™Gb%=Ouùy¹™ù('Ú?Ë HmOnr)üd­ÌW4ùëwß]%õ9ùïú§©5A=9´Ïÿß³7 ÅuÓ±fá ãO¶”ÏA;ÔÖâ]òñ¼ÊJ›;Íð¯eÒélÜOd‡‡š×E°Sø(‚Ê“Øõ4¡ãÜÖ†}Ì2”òË‹•)9|çuoH$¬ÚAq÷}àÙamÕÏtïÅXõ·ˆõÚ]«¼ÇP;0”ÌF´j æ½ÜQ¤Š $Ï2VËxqˆ[_KÞàŠ¾ž…·w_Œ¥sùüê1˜×Hû³f©³0æƒlDþØfü)ÇÌ´Šd¯dhÆ9ù4Èjf x¥ŽÉ´ü¼Er£åñóOÔ¾º–‹ *jÆbížd‡_ ,°`í‡ë-ÕÎåša²ïÛ0^×؜љ oú N® ån´šˆ\¦Y+yåÏ5¯®ÄÍ8µv=+¹Eo[`SÇ_Ý‹Á¯š”X\öH¤Uô°Ãð‚ÐÆ€•ÐK·K¢ñ,µ¢¾a^,a4n©Ë{s8ºDUüñD*3ꜹú¨þòSZ—ZceI! d†-Që<>梓^Q$`° {­4¤¡Et£úÀ6îZÝ°ÞG5]*LÞá b±º¤EáÈqa "”X°hv~ùQN3Êq.­Ê8‘ñœ{ê—F5âCËB@;ÁÉ+f4Õ Co Œ!³rB ðAný²¼©piÝB¥ÛU«㆟X<óMp–ò€˜®V=þu[f2ç U—„Ì^±~=|ƒý`–íyºCgˆê.—BÁ•ó÷"'?jöå£k¯ϋŠ½tiÖõ¯ÙG¦Æú“ª1S\Êò!|Ñ_hÛ¸ zé‡_7x¼j½òÞǺ0* ÊŒnZí'h¹jzÀ À*–ÿòzw„N3ÝVìyÔ¬»éK½àeÖ>§Î2š¹>@ê¼æ“ÈJiw4‡ð.–(ñF¬Äes%ºó1«9M`‘#ö•‘òœóR»GYrÌ:gÇšPÕº I`ã‡(—±C)òp]z´( ŠêV‘L¡6w=Q~.?ñËÌÄ+¸qÐlnÅò¤@â7ÖQœ·XæÉL»if±—×ýå%á?~¾ò×ý&;gáÒ Šh? ÓFë‘XXâ>•EVF‹J-† +mejêðôJ´óÍ<<ðÔ¨+3“'Ý„¦“èNŸ¥ˆ¿/fU·5yëϸ/PHØL˜z+ç®mÚd’ÃÆÑuóº$ðq6KŽyn‚øusú…a#ú^.W랆ý|pƒE©˜í©ªeò‹aÞ³ðÀã1_áñ£tժȋÏGêz–ðÅ’•|šÓ‡M l¥ÇP­ã,èâZ匟_ x—ã»´@è¸õ“e»åÅûZåú#ZäTç}Ö)2ëíj]Ä=üòÐ.$G¦ÁŸc8Û€ e sÈK6ÎõZ\8´Ëp*êÙ¸9’­²ç;q3^ [$vaǨ1*ÎéÃ=œSšdt–SPûV£ØÅVdOº:ó¹!&°´êhbòQ>ßÑ' }~(ã°8îf)³½oqp,”² tfuaõ,-G+ÄW²*œÔ}3ÆûÎÐ)š4å’ѨzÑ™žn5)Ð{•-ìð?åNEobT6â#yyoº¨pá£\ÛÍ€Êndú ã}€k#·XÞ‘2µ>Í‚‰NÖMí@€¾Î —¨Z}BÐ÷¦Ž¨tÈ5§BûU†Ï.^ȃ¨Œƒ B¹wß)g4+óŒqMÇÑð&Uá]{kÚ˜DøË’\ß¾cþ4¥E +²™Mâig¼~X•ƒŠñ2Š€tã&½´P$²z>nu^°nÕE¯EÙÇpë]¡}O?¹yH¿ç";ª”ãhí[;4ÇÞÃ\ "Q¸æSƱÕ>Aõ½dÛ&‰4W éýë zÐ1?®ns,/U­ü†U‡ê­z¦gwðUûT0b›„ŒæMã)¦ŸW‚øÕR2IÆ*Ÿ>êºÓITNÇ™£°Î7áŽô-Ü–}qž†f^õÀ<žƒíJ¢üâÏá–k!û„c@jêdžtœÖ€} ÷ön&Ñi¢‚±Œ!½0wq÷jƒÉg3ù%™@K‰ÁüÅnI€ƒÓö±:õBS·Ñyçœ;sÇ-^89}O߶K€h¶d,Ö/ÝÔF€'˜l™ O†‘õ›/i §Žu›u*("¿HÏ9Nï±Yå-‹”Bf $Ol»ßì‘S1¢½€áŠë^ñç6.û/êyßß0 ‰ŒPΔ¸-ÉkfÏ–/ÜÖ³jÚo:’Á’L¦5¿ú<#ÈÛzë_àš‹sÝçzïþnº)êþèûÏFã§ÞBý«D챨.}±¸/UøX̺qŸÊ–´S5¤ç±m¸œ, |Ë5X‚åÓiXª%SÆGn匯fä6Ù‘¿ß:íË¿tseÆ¥«±àoÕf¯¥p‡Ø,²Ã7Þ\%5,´ÇýÃV'J÷ÂˆÒ Ï¬U㣄€Ôup3¢¸Št¨ÖŸ†°'&R0BhÃã„êç «%&ípwÙ²ÌÿÊ‘QÛ%¡9!u·bÅ~`wºw/ö2·[ª¬³MGߎī§¸«Œi¦ª,ô½ÁbƒPHó{yØUÒ‡°l§À„åYå£ ™µPž'*¹åï—¢äÎ6³ßpîëz÷Þžiâe íK- …}™v8:kŽ¾Chà*ຬÿaUA®kÏ$-‰³À«!P!+c¬E a.ï8hÎøÉÄRÐÓ–R$÷må»^OÿûlN”[ruÚ)ú6 –ñ»g¼ÛLjnjÀðª|Ó¢á!‰ïòÓ<¦ºV8ñ91{wG÷ #È J º±åižó²E“Ó £Ä2d>çIËI$ÆðûPצ‘W JwA¾ wDÖ"ò‘ú]sÏ”éåÚ‚M–U™lG ¦€©_zE•°TùÆ3æ'Yõ«NŽ–}ñ掣•ÙH A¸®/Aã—)Îý ;•"ü rºî¹à/"¾(jÖDp¨H¿"`»âU¾nMÌêqç×·õÑ~. â y¤úÒFcцirç׃¼/†ëãéNjTEŠ¢>AP”²$<ËÎS¾ 5«-„®ÊÐãß!J()!#+7ܶyÁøÖ|èTÔ+eVfáÆBÒ*ÑWùZ¾O{![ #g¢Ìp”>±.¤ê¾³Leä°¨%Ü:Ôröû´qh#ç8¹8^–pÞ³(Ž{‹ëj¶ ;…5¯å6·KÖtäÖ«Ì 0&z6­êS¿bõIUÜÞ ìU¬@χïR¼/wšœÉ;*v9©Ø0m© $ ©çíiáç!ÉÐi>[\\}át6^'Ò}î=á4_ Û_5‹›¡ÅÛ—v§}RBù,Úç¡Â©X#iŸ'T$25ޔŹm bZô¢³ÝÇO¯ª6uºæ‚ !ï ’²^HÛmN+$/ÔY¤zR„ÔÎÕ€*‘VVWW#²•—ë,O@©1q{]¦+~Ô8ÕH#SKáh_yŸ˜Çi; é9ÛïÔ¹ËSŒQº/”p‘„ïù25FüŠ*ÞQ0¼öµB_ ì6n}=µÐÍoÙFÉÝêÁÝ=F©XühF%mÙOßpK.¨ÑwÕß9(dE­Tˆ!>O9˜±ƒQ܀ƺKÕlÕ\uÜê)“ðˆ§+¥lv„õ¥s%sÖP´óÝÄ72è*Šý0çªÜð×io?§/¡^“©~ 9ÝÛ"’•[ žTŽ’XÝ]¾8Ê ÜÑèì|¤¼$ÊK¿MŽÃ\3ñòõ¿e …Ì Hᡤte¡c 쿵{¼×kž÷Ñ[@Žë_qæ—˜8ðî¼1Í৘Ó]¢ÝNŒ„’¿¬_ËC±¤^çWÀ83.Å·Ž/÷òÉò+÷š¶ÁN´;·=åT}„,ÖA؈S€–@réqé¢7Ž•xC+-.f*ïÞn5¾÷M¿ ÆpLË–ª½Ñ ª»ºòÀ0{WÍÇÒ\ù-îw¼%o–œÃ¯“¸:—ˆR—¸¸æ+ª¸¹ù“sœžŠ; Äi£Ý —Ÿ ÏFäá[˜ÔAm!_t—õGÕǘy3Z¤óéñp‚y•Š´§ð±”<ÙÏÙ~ämFÂԪƣ·»«E¡|ã`±Ã,!“ÁQ"´ñð ¡•1S¬…Lú#Ú'I ™ïDUIˆ$ª?jÝ`ÀÅ&‹bó²}_Yüúq`éXHª m2ÕwÈdut¹ë+¶p<íe&†6÷³.çüë©Éæ¬q+ÂUg<ƒxÒ¦:³L6 ˜bXÍH2ËÈ ,¾ ,ã$V%þTüÒ#?¤÷ <Ø ­ts(ð™`„Ã3 9"P}åWª4o„8ӈǠ’ûž08:«Ô; ØvÇÒÆŠDQ°¤¶ãѼ~Ì¢@ug,T2«÷U¡¸¶ñŽŸÓ§Ó!ÉžÈ.7¢ó3´²Ômr -ìŽo3DÛ{E×j![SHåÉð^³p@n‰Ù$äŒÀÁ~lpËÝlÄ_ØÎæÞ|%¦LúÙr#dµ¥ÛšBIòæ5­yàÎÖ‘ök¶éSº2>2ˆuÄ|©EÇë¯~Œ*Ú›ZA­ƒ[ý©Õñ‚Ðå ‚’•Mbêý$ŒÅ¯d¡ñQýÅîÈÛ.:cJ¯ÛƒW&¨ï c’×+pú»t÷_ ™h“?öKd«D©³**˜9®‰,ã¢êÙÓT‰¡²ø„9”|IvÄVˆ.´s.eçŽgF+3x_›9Z×ÂÌ´Qsxµ£@Ay¨q g%KôSñò—¼2¦ãì^o!3Ø ¬°¼ý‹"O׋KZF2Çʧáðoãæ*#¯äTOÑ{¦¤¾ '|58¬t=ÆI€ê ;—\O·™2ÕsøMÑ:ðà†û³S¼³™±ç%¬ºÆb–­B±áu\¦&i_Vâ›—(ÍOçB¹C,´ÎÑÞËL@ µsþ2ÈŠ+4+àCˆïŒFS_šç‡w¨Ær/[tn±;"Î5šqýY®@'¼Ùš2Ç÷}“6´‘ö’¹¼#Æ"M¼_XVÈ8;C+Ö²ç^‰pœV©>„vÉj må…Ú@ôsÕ±ãxª°ûÙ°xÖÂ;û¦5ßòûEàOD’reK¹§8ŸÃKñ:$•ä1B¶)‡S~~Fê <60-ù¸LR¼U< %’?o_Ä$}VÀq'¾«T¦ù0$ðª\»°=§ 8c8B–TýCOQO3ÂÏþÑ!(ÍÎÌ›]“9b·U6B0^¶—õÈ׆žaÂVü“ñG ¦ÈLÏÛ©H™}‡º=#RwÜà<¬ÍRÀÈ^[rë4K–ö50Ù¨Ä)¦Æ§’ƒÝràëWqp›å„¬}³´5Iô2"%hûÏvݱæQìµ[ÒBþZ€Pø£îxò¹žv¾P¹Â0Poø«9ƒb` ´S-*À¬?„] c=ŸX.…¾ƒÒå¼ï 3Ñd° ³s ÆMÞJÙ¸A'Øu]\çêVq:qÞP®ìM´€+ §Esñ”ÝqŒâß,½å¶òMV—Îo0q¥á}y°¸Ù~M”;|qw%ÿnIõjF¾Ø/lót„‰^gß. M,½ßCÅP«R¸ðýô(Ý«DŠµÐÛ&.KÒÃ#‰ôØŒ^"<þÙ¼rÞ(ä´6NÍÈÎÓµJ¨–aü!×ËÍAyúÓdËšIjùUß¾R×@>e1E/Þ1¹õ#HcêÚi•n*ÖÞí Ù7KãÒ¢jdÅÃÉ"ÿÅ÷À¸äŽ>1ǾÙá†íH‹Nlê½bz½”)WE±ÇWO†QÎ7<ŸØÏgv½¯Žx2vSG5¢*å‘îËP»;\çËï¼'?|ÛÉSÏïà/ŽF¨&ž ˜ÆugàÀêg°ëJ½†â/,™Ó9*×xWšLþ¤E˜dC.CÀ:¼ªqÔZtHÚOÔê!9yKxƒœvº5I”¹<•lEÕ WWø½>“Ð\tÕY2ÖŸbýüTÿ4L#Ü&"©½b¨ŠdJ“Àip«‰ ±`’þª}¢>b€»¨•›Ùú4C$^1}^y2J¦ù6Lÿ¶—¬(eGïû®|O†œá1Kã5óñÌœ|ã¸lAN'>¿n@®î懷©%ü&ð8¼ÅÌŒ¾—n•ë€éOW‚B‘ òšKÌ_?ìæÌúåHa—D]kx£”òá‰eÂû!y>r|Yiz€wRž¤ôŠη* Š:r¼ö€YF31w‚*u<â»g[7ß̹tß–kç³Üœìô¹$çn ¿øœû­Â£Þ=‰IÏúçK4 Ï(˜°óQÀ´Ë½œâ«FøT(Ã)”FA±Î’OŽQZÍŽA¼¼UÖozŠ ™dƒb9f£¿D¯+ \¹vˆ´:½8Ud¡ðË\láX%•±ç‰ V]ÄónY›7æ|ÈŠÓ††D›;¿X*ÁŒxó#z‹ùîp´Ø ¦v-Þ‘‚ v¤]‹ÇÐuL{Oª4á-1*¸R––;+Ý6ØOÕ2á³m?K«s·=Rø·É{ÓÈÛÈîôbo$¥SH4ðPÁ $Z˜k¶Mé¿Q¶m-W¤Í~ÖßàÓý ÄYÙ0Lœé!ŒRGæu“¡yµIKlçÜ\¾Bx¿Îì˜o³‰÷ã,@¶Š,ÍSv5^h ¢àJã§}r'oªql7Žü wIÊ¢Ù¡lìnîA4&6_ÚC²:ƾ|ùzóÀÍ·OG·ÔžÔÓ-çYW÷ìZÞäAŸ´·à•Ûî³b_ÏM«ÂaùñÔ,=® Ѭ–¼‘lÏ÷†ø²³·–›ó´WØT7R@ i¾ÇÚGÿÆ ”Í‹•¬à€c  »¨Ö®s>™Öÿ*¼ã(QpºS EÆ¢t¢$[µ. :•ÿfÄ=H× 'x—Œê(D¬­ušdÚµgýo4cF×%:œA–M¤‰=‘Ô“¢È~91˜¯nömËÉ¡oF¼HF¾4Äð.Qâª\ÒøÒz Þœ¿šö3-„[¤5¨¨K™ÞmŸr²+xzF‰ý®à Ög3 :¬ÂoL1O#.Iÿ¾-o'Xâ[h"| Î¥†ÜJXS»ªX»ì±\£É lUÆÍÛ3WÉçîÇëÂèó1ÐwhØzÊ­¶§¶¢íܵ¦Ê£Ô: Úoð„}QGñÖ­â Þ¶Ž] +‹§¢X~·¥Õ!Jæ©ÉS<Ò¼éÚî6Mã1)u±€-Sö¿Ô;è4¾™8ÂÇyÌ žHÀ1 Šièoþ\:Ui¦B’XÆqK¼V«öº‚)B¹|ózÆ9Ö|ˆsNòÌ%Èpu…E䶌¡¬À £^·5pÅq ;éS‚oEÿ¿”ˆÒCÚùÅ/¨¯ØÒFû<­ö)Ú¹<÷Ê¡CLgK¾,äk)ÔŠG./þh4Ï…35dDštÛˆýóÊ“û„vŒvþ0»`p¼M&©áâšVó¨Ôݹ!Ü™ïÆ|é¨ÿmGy Gç͉‰ÀÝ—hß1µ!Í‚©[—v\ÊÄVZ!åEã"Y)š,+ë »%î';t¦ÕP“z{d6{ò7A ïq·†˜ñ FVÙÚ*L[»âï{î,˜Mm¸¥Øw°“º;^‡ò£»lÄUçZ|îhêĤLÝÐaŸ¦á@‘öÙ'‘84‘ˆë rÒ&³Ð,°DÝû  ÷Þ0ˆª"!†öJÎïÚò2¢Žð®^“<´xË*–ú C'm/·êؘ`!±ã¼ó. :W/Ž+ѸU¿IuýÌ]¯þ[I³Åfg×·‰ú”q}ä>Þ›ŠÈš‹ùlæ™E=œÒ²°}'T>ä 0çj¥ë`,öÈDuŠ»Ú;§ç/ê(½ä§\†ì¤òÁËøX˜ñÊ‚E·y9 "<-›˜ÒÁ–[‚«9ï{cÚGß¾§qÚ²yGO¬«Påóΰï:.vÒÅWtΧکðEÂÙÔöv—òé =´áeÀu%¢qõ³ÔwI@à°ÀK?b@PŠ…Íëúrù Còš<Š€î“Òø¦ˆê˧K¬•Tˆü {÷ìÛÓ5¼Ö‡åO5—P‚Ðg´ÜEi)Cx‡ÕƤY"Y°¹uôbŸc¨ß¼¼£…ƒªÃÛÃ6X¡"&…Äë»ég[Ýz3z[œàÏå@¥&’¸U)2M¶Äq؆ÛÝšOЂZxF»ÛJ?­ŽœVeSoBP±cw'?Bëp2™‡±µ‰Ì(™ê‚L±'¨Hì9Òª2-µXWîë¥wÞ«JÑí(K'ïùŠ—­¼ÍúJ øܦ‡÷Øè†bÚZL¥ùåŒ.<¶·ª)Ö&KE™  ¢ÿPa(i¥d¦ÊYÎ’«b«]Ç°7—³ÇÇ’”’%«‚õÿÊ5å•„ûøFyúèòð&ôqÝ;„=6g›pÐ!sYPÙÓÑEÀæÅb~Ж#â&›j1׆«®·’ÞAaÛ …¸÷X_ÚýkJµÃéÚðc{4[ìíCYxN[¨åæªUar™ˆÊV! Ú€eäÈ=†L/¿&‚4ž`ÜÌ^_¾!#\¿ŠÇ#G‹ÉB¿Îw¦ê„^¾º«Ùä"óÓ ·Þð£‚S–DÆŒYbëø:gΆQ–}ºŒ©ÜZ@[sþ°$W§(&Ÿ½È¾R]îKZ9W`©¤[ɸ‘Î.þ ÙUŽ,¯ ðÈVòƒæäµ7 ¤myÆ2©¬šÚ°Ûj™ 9|Ø[èñ~&ÃÓxÄoA!cä6¥U¾›à_ÂUt×96{TÉ--˜êDsÁ^GI‹P²‚-Ba}”˜Âƒ(ëçké<0«üuÖ{mjì`;û¬¹£z£í&NsBQ‡EwÝÖÁ$¹‡‘ B”Ö–O.ONâÓ@±ÛÌFsB=v,ÕÔ!ʇSö70ýR/QD;ÐóÏèXHà.à§rÅBòEm:‚‚z䣫?êBð±0ìÒË9a¢*,Qøà*9vH-Þ¶-vGšýX³Ûa(Ùù) ¬â!mM EüT¨Î@‚˜¡,™˜º¨ú¥©úI®¬ÖYôü ,,‚°»K¿÷$!º„°¦{®ª£H8öJŒz&BA11¦µ¦O*+)|KDwí¶¶– õòÅÓpH!÷óUë£ynûfÆÌåòƒ^./moabÖžƒ.G¾Ïõû£Ù®ê¸Ï …Þ†ORmÿs§W»¢rFÂC¼xó۵ѯ]á kÎí>ÌVõ®»E\‘ê—×oØlEèèˆ6æÄ™>?¡€)cƒ@$H›å­sÒý;ÈmIõZÝeÑ“¢!áLŒÉ¤\Ú·ÂÅ!³`!ícÀ×õ£Fåc¼¨«2€”C²4wêµ½Fäý˜“|VÌaùb¡pþçEæ¹ô¥:)Aê/éaMKQ¦±î²š”¡eÄ£<Éؽæ™8}åg|µó,î²NQß2I¹cPwI¨.ÏDèÞ ´z.Á9U¬‰ª+ Ü‚ÿ\õi›¢`v&@ZÞŽŽDQÁa‡€ÒØÃ,ß‹'×1˜…û¼ •jCóëÔE:d Ú)sÔ¶MÖya³ÊK@*HÓmÙW&h±Vá¤Sÿ+ïÓRÂDY7+9È[{–Á÷@®qJ¾"Õ°gýž5ôœËZz>vžˆ~:áoB?xƒª„Íx1²ÁX(v×s´v°°P¾‰a Q—-Á½z"À,;l6¿*Ì£+vÛ\ìÃóÁ¯TiÙ¦~}³2ˆ”±’“†Dˆ‰É˜Íôh”äPu'd!|-•¼ø#òpÏX  Pª¿ ¤ÒPz–‘n™1ؤÕäA Ø|Y \W ¨?…+O4•ýÑH"ì†~µ=xñ¡ˆ¢Ts¡»#þþxE1‰â¡%ÑÏÌÝœŽ¡s=‹¶É^^^lõIÿ*ðp¯½g·qôõýɬm¡|¾?—u 4’ÂgµÎŒGTM6g~´©'à0+ljÌœô“XÁMãŒÓRÆ©ˆ`Kx‰4Ô­Y¬Da÷ËÔQp3srÕ'íq®ë2dž ^jóÕñgd]zþSþMVÈô[Ò0•"»Jú'¶m¯‡›ˆo».Õjg|>âBáüÔ+5 'n¤e²ÝXçJž÷<`ôïÊÛÅÿùÕ…®¦VµtáoIÊ IÍ)ŒäHëÕ—kêøR+펜U‰‚ÔÂ8ø¬¢çG”8Dêreâ“ :ŪÃqgä‹wï,oj¤þqa!ñrò…c¡WŸd3‚„¦ÆÞ—Z·çôÍ1…8AÁä;0e^í‰ß_&SÆîÃ$ì ¤¢{£iÇ œ-œ>¶”õ§KÕ’Ÿ³Qƒ$Lƒ jùtÖÅ;w%í’²®eØ"Y©”ðn©›©å8«A[KV6€7¶õÁ­?óÈÿä ØEXó €clWÚd!Â^S š‡ŽüÀ,wĉåi;˦E°ÔòïðƒHI OˆÆJè|íëÔo‰¼ª'ƒJŸ²1ŸÜ˜F›*.NÙI‡/–±=6'×µ¨½˜X;Á¸.ŒÒˆ¡,Tî­Vbaž:¯öŸcâ˜Czjþýô„€pÔþ G $ „šE„ωl1¯ËgGÚ=$bòNDG%Bۯײ{wš}y4¾H±IN½ƒE¿¦À;»¯!8ÏׄžÎÄ+tCØ°:a©tÕáânã“ÐTÃ>Û/´xxÛPö» ’Öa\®¼Ïâ Å£<Ët‘œUj[ˆüÚÌØñþ Ý‡øàèζ• '÷+‰¶ymXòGhò?ll³1Ôr¼J·”yˆ…1Ëuˉü NtóY±×Ç;è}ò€Èr¥E2"{=³*;1í("AEgQ\¿Š^ʼ=­ŒÆ\ÆiVh?x£gb,€h‘ÎÅw®DE Ï}yKð€ ÁS d¢8bƪæÁm%”éîFv%Âg)Gnz¡„±Œ#úÎ ¿âWêEù÷ÒŠ¯ª)Ü.~ܸyHïe„ktCí‚°Boâ¤ç¼­_˜PkÖ\²øØàw xcèºwpéÇ›HÉì™,¾õs©ÎÇ—FLÃmñÔSeN‰Ýp…û~ŸŠKD9IfqO½Umy§Ûtj«B Èep1 bBèêN•¡ŠJ!ž9K„ì¢sµêý:¬Ö ìúüCïÇß"Î÷aÂRšµ»ú×%ч¶¸påòÀQóí³ÒFŽöyVº¨•LÐæ|y¬?4èEݽ¨Ž"WnS±OÙËFC@Äè(Ä ¥/šŽÌ•c°AXžQŠÂî[{Œ‡ NŸç'1"úÐÞ_c˜Õ@¦é¢ É™®f—m8ò¡°§±cŸÝ9ç™Ñ‹ ŸëÈ<ãAÚ:G06+»&@w¤ÖÍÁÛó=W‡œIè»õ=’ÚÍÌ)D#í!ÝrL8w¹àaÀkOß.Ngdzsª3¸Iý`™AÑÀM•Žîy¸ö¹ºJ(j>õ;ûUÀ`±BÇÒ7bá˼ùÍ„a¨Ê™A•äC<±P…N!I„ âònŽÞhËÁ$lçåKI’YÁN&•«rÞ¼ W´(#@¬©ö^)Y9au-!·ËÞÎÚ‹Hãš…,ç(¨ùWYOùÿ•þã Hú|Õ–Æž4BL·ªK*¸$<#~ËÓ((-ZÖNªKmñ­¶ÞK’)‘y8>K®ãÃT½tM€íG¼–ÝSÑdòVÚVâÙèiG…YÓ°´ödÏ]ÙíDÎ0*p’4ϤOò}~s†eö®ãÜ~2«£ùø…†/ïö¬‡+Ñ!’|„ª’v’­ýåÝ̪ѓ,ô™ŽÕÌ(åB.›Èw5ãA„@Ïf¼@Ç.{c,ÈÊø?ã’DÞ0˜‹0’<š7'Úôèm}Ñ«„1 ÏxF¬ï•uò`zÁ|Vw®yáŠÎ —^…à§|65ðßê¤ÛçLä”nBrÇ;îUXº·˜4C«ÊUiÒ²03ŒÖª ÌÓD!k2 ¥Šå÷vwyô„ET1ì1$¡ï´t#8a2ƒo…‘ÙÿE´·èÛóqKo¢ádpoèEO\‚HØE Þùð§4Ž½ŽŽoÌÕxB4G¨ÖRUú¶©Uñ ßD°L¥öørÊ(Îñl4ÀíE6þ®‰‘:ìb²&Õ†P–¤Fˆ:7qskž’?ǹžkà|„šz¤ Ï¿r Ã|›;Â:iº‡˜¾” ‹qFTžw!‹ÇÀ:iõ[üÜ¡nË<@äYxì"ˆÚ Ò) FN´|êì#gáÃzç…+G—žýÈ>³dV3S+Ö¯ëç¾zÞ÷($_hx~-DýÖ×ЉdßèëÊ`òºÆ°‰Þ"*›=®nHÄÌv±©Ø­À4OJªòd £3oöš¬YÂcÝI݃¹~4žódlP!sTÇè¯ i–ºúÅU"idI6Ç líޗøO |ó qì=ÕedÒMÞ®³øfËÂíèå|®œ÷¼t-K)ç¿|Ò›×»A6¬fW©K³ýð|-JRÁo´;=V¾»;Wæ{!÷ŠÃ.©þY¤r5áeXÉî»ÇÓ)3íÒÕ¾¹}›Ô‚È#“8)­¢ t¾Im!XÕ_ôNC©§Åohær  G(U†Ÿƒ%é'÷£Ø_¤¤…îˆyu±z(jû 4ÅÚÚÂ÷ ü¶Ê¡(®}Ae,6$ðÖ¬µHMÅÁY©Â þ6›=ïhÙ诮L^>Í•rq—!ÃNðtќ헓~zà§PðÄÈÕç™[qPÚèÿ…M±‰TcSÆW«\úñÏ‘øndg3ãÓ20Ñ)JèÞXh)»).sÊ®Õî"ùúqP!þ8¥ïXK¯¢ÌF^‡U¬{ð’‰éXO÷2ô€'+0¤€Øé»÷|l2¸ó]¸›U&ø»5æ͵{Á+2 ™p‘d`ð¾×ˆh'HLNÑ\fz"2ãqvº6z/¬ÙLПL†5âîë`\w¸[fm8gEt¯KÐåLÒF&dÒ,œw÷Øèâòs©Ð†žƒ\Ž'©ERÆ!„zÍÂ톣ÊÅ{0‡Juî¸ï”Âd Û@i¸+;G'Ðp’Þ'—.ë¸<¹5g„}¤ùçek~’Rñ}‡ë„UoC®Þ¹Å¥£Šñ _ÇöÁIøFݘɼ•TŠ@:0‹¢|9çf@«r8þHAlÃálÆÔ¶¾K@ì$QÇ’tÅþø”ðzë)yKIç¦ÇýêîûÖ/­ºò·ïÍû›YΫœ8—jº“À>_‡ S^j8ᯩ%$Ó¢€ü ì­q@ÚÉåû”÷³æ´“&còe(̾U¤‹ÔŸ±·ôAÌÅT¤.BŸ¨—R2Êœ k/ݽäóÏ°nô78 í^ÜAXì ¿,›ž]j=`&MU©êØȆ1£2†@ñö{¯lÅÿå_¸ê+.¦ ±+ª$ ϸƒùÀáøD5=’]nm¹ÓîD<*¬}ÉÜ@ƒKÄ_d2Jæ¢ [Û^«è+Ÿ$§üT¢&-™<ð€yÿÆ £ÏUO+ûEíëºþ”b¾=@}½/‘_ü¼Øqˆô_ÃJˆÐ¬ÄÉm”Õp#OF4¡êŒ÷ãF4ȸ¼JQï–IH Ïpœô=âyRšâÞÝ„e¬1˜ù|{Àn„]• 9&ÑÁœ9Kü"Ãt´Î‡f¡P0µâ•8±zH-´YK9p÷#‚%NØ,t{eRm2öÛØqP÷§çѬR¾î¬œ†Œ¨À•‚4O%¿Ü³øŠ9y[zÚú¾prü%°G ¡7¿¹×ë]`ü=Tl5wèzÞ“ÿ<íA ÏÕ!n_Á|ÎW+¿|ÄK ©¸ªìL…ЗIšØ³•6J¼­¤ùó«A:—¯¯.ˆ¨ T¹¨  ƒhÓ³Ž!±Éú10ظ_²g>™í\—í¹Ížr WÉ[ûØàÒ¥[Êp;ŽXSý'ñqIÀY·j#Qþòͱ*s¬÷Z€×)ác4ìȃ§«8pH6ÙQìöòU¬SK •—8’Uœ˜húef%÷6Çõv0qÒÒBt€u˜5¨˜îˆGÐp›5íðÿë}Ø *e;ùxXCD˛ͽ¨jd¥wÐÓ!)çÛnÜ #@vÕsÆ_½â“IbÄêX^Ö'5 fKŒe™¸=¸—ÞÙ˜ÔÃ+¬¤…¥,‚}5“l]á4&WNOôûÀC9ãDÏ‘áQ%:Ž#í§,…C6-y±=ÿípõÙ”t«CE“îˆ g 0cëÏTÒr‡Ì?ÊáWªT6™©Ê|m× Fß}ç¢},sh”^ȽßØ•$Á5ÝñO{ƒU¤C9`ãÖ Âcãyêdi\ »*Õæ+óÃR¦-ç±0LV¸çwcFûò/ô=WzóžùÄ処6JI½vùͪ6‘åí?ú’­¨{7Á…í*ïê÷).§®¨¸:=}À—>Ä AX×’‰.%Íš…Âå¦G&-è‚2>¸p”'b>µ0•‡½[DH^¸U›#'R/eøÈû¯ÔÄÄËÉÕµ”¡Ä#Â]°{YÝq»‹kö†¬8XõÂlÀDÂy=[ #Eá-Uz‘RI0lQw¾$(N.ìmáW§[Æo‚ XÜÇùRå&;üN(k:Þ~ýà´¨ @’ælùCNßAEçÛóTe#´€«‹yx§æÚ³µ¿@‚Ê>ê±p,R³x¢ WŒ•f¸jÂæ ý)ðf…CèâÝŠ)m¹täÉ¿0 –ΔH8y†Þ`1'xºi<˜7>yðWïÉþÙÆíÞÝœ$$¹íGˆ¬ò0¨Yä¿ðwdÓpMråšvn­€·¢ CX%úî%5«š=lnbÿBά+ü|ÑtC/‹Ã°ô:¹"¤äPÃ6?[Fn¨ß7¯e72@ae”½ð¹÷-e¦…ƒ (H •Ñ¥*ösˆTe÷4ˆÆgÅ—…‰SY8ÍÌÍÚß­×+vcWmRÄÔ¿=ez8R™Æ×ìiáS##0\uçöD¼Òt/eð" Ï‚ê”/ÓóêNŽ¶ØñF=<Àª&B)ÀæB.-zb |b‚,FbˆÞ Õº•ÞS|=„ƒ„†¶ˆ¡¬À\ÞŽ˜z‰ž'VmuJÜp¡±uòi!ÅûX´ÒÖ{ô žÊyŠwD¯¼0V9K&Ýiù5Ì r{ůɛŴ±>-Xgò”hÁ endstream endobj 193 0 obj << /Type /FontDescriptor /FontName /CODDJV+CMR10 /Flags 4 /FontBBox [-40 -250 1009 750] /Ascent 694 /CapHeight 683 /Descent -194 /ItalicAngle 0 /StemV 69 /XHeight 431 /CharSet (/A/B/C/D/E/F/G/H/I/L/M/N/O/P/Q/R/S/T/U/V/W/Y/a/b/bracketleft/bracketright/c/colon/comma/d/e/eight/equal/exclam/f/ffi/fi/five/fl/four/g/h/hyphen/i/j/k/l/m/n/nine/o/one/p/parenleft/parenright/period/q/question/quotedblleft/quotedblright/quoteright/r/s/semicolon/seven/six/slash/t/three/two/u/v/w/x/y/z/zero) /FontFile 192 0 R >> endobj 194 0 obj << /Length1 1914 /Length2 12150 /Length3 0 /Length 13328 /Filter /FlateDecode >> stream xÚµTê.L#Ý 2tIwwKHwÍ€0twwçRÒ]ÒHˆtHH—tJ\vœí>çÿ׺wÍZÌ«Ùoô¢7ÿqq½ —ã_þ/½eµø|aó;÷KU–Ž®ÎÿÒ¿Tfõ¾ä²rþã⼤°þ|é£Í¿à‹ƒý¿àKu¿!ûK- Á—Z×þbûò?ä_ê—LÿªŒý%“Ë¿àKëÁ¿‰¼„[;ÿEí%ØÝñ_/}uý|©ÔíwòätþËü¿ÍÜÕÙùåþó)xÙÂÿà?_{ ÐhŽ¼8çh.b[Òy[+Nâμ=!ï}´í`Û »hòß»ò¡«âܺ÷Ëz4 T,…Ím¿Û©áQDy¨øÆ«cX:CS`–;KH‰f&{ň}ê1su= ™|&WHdBö=Šå,ñÖ[爻›õúþQƒÃ¥‡ˆšH ö {lŠÖ[b/M`Þ»¬dÍy,}¿k|Ã!…Ý~Þk[YíÖyÿ܈–fR€žˆW>:f­].É¡”" +÷tEaÍCþœ·ÍÌåJ’ͳŠ=o· ÿvï=¤Ák‘¯^‡1\Í/µÔÇN i E(Ú¶zˆ%X52ÿ>ú·©•ÝDš¬­+à‡UN½{àþw Š‘aù™3¯onû›Œö¸§—æÙŽƒÝ;ã.DFЩ4MMAÂ{µí©)&’hü†\2×kþ6xâXªÔœ¬ü6Î&U”!cÃúíC†ìš½ŽwäÛˆƒMÜ ÍŠgñšª|¾¬b$9Äø¸»˜ðqW|Ù¯R«Øá qOôa…ÚUŸ/Æ?]œ1³ ±TX©K` *Û§àèå©$¼=™.ˆã&1âoìÃ}(Ulg„÷ù)ƒòìÝ X ¨˜“~³F”÷ë}' H—-›QºÇaZý»':¾ýcÿýÐÈN"ÔA"O½Õ+p+Üf! ¾ÈsÝŠÓîkö@u­Zhßø!=«¦lÖýóÞþþB³îÇc´û0¼P+îA?Ø ´á(ä»`R~٠뀿Éã‹!Nõ)B´P‹îJ…>¨9‚·¯ß3F_uÓ„n ¹Ó±ç»^)K¹5Çäaæ°Èö7ªƒ:=ôN~'á{MgÿbÉUNVº$g[i‰ùéö¨:m@%Ä.O¥b¼íò½¸£XæÆʵ¶oóßlÝv™ ŒvûœœTpú â ZÉàAw¿OËÁãmâd9gIp3ù€‰k÷huF¦T9iСŒøñýìu¨VVÙ7oÙ:ÀŸæ$N6FQ{31öÓyW>‹¾Ë ÅÏæ‚é×ëŸaH*f"Žtx×O‡Ãϳ± Ï‹PhÊ·M'•3EI®ÃVt6ÚšuÇt0iñÝPb? ÷šèP’U©©gó‰ø‡ú)£­– „ø+~ü,n–}›T¦à˜O ð5¨½E;+“'º¾j»“VCÛü~5_÷Áûöš÷x^†tá΢¿D-É×n}f¯§è ¥/e{»Åà;P±@vÙ~^{À㥨"•k‘¾ÕM…¼˜qCÞDFe¸~?BÇGÜ,2ÍÈ>áGxÏ“XBî+<§”ÓV5ˆæMë9í[g{NB]ózvy=NêXþY܃q¬ˆzƒbÅŠ\ –P.@Š´RP­W êXs=àH”ÂþC¬ÒâÇ)+•½eÜP~ÞdÂûf÷ÉdÑ6ØÉWkùiZf¸¼F?ì²óʯ?š£!+÷¤0^ -ÆÊ’ö|(^_ôÉNšé{¡Yül>^½V¸‡>Rf?ã¿‘ÌóÍ:‹^‰cq­é+$á5¹Þº›æeÖûNU­¡Vt‡ÓöùÊ\2llaÚNSäÝø— q}.!ÆdEcõI™ðžqþ‹Ä>ÞjA…±<ýy£ééñ¼¶ò7ĈáÃéÄ ¦¸‘¥4¨Ïb¼\(bÏPx\ôI¤,ÂÐ?ãä&y߬éœ>~ÛdòHu×ñ «Ã’ãÄ’"H2jŽo*˜†$0Ò¶q9-8ÿðˆ}Øà¾Î7²Æȶ;S7‹Û&—´72Bó]jf~Ï/Ö>µ|^E«ëxú€˜ßâå®åœlŽË¿¦ŠG¿•'dÇ×X#˜ZÁ;$Çš\Ô•®¶$GØÁý©j:an[³ oþ ©Ï8ãJpL,ÎÇ(Sòm§HtÂ`euÔ¯ú´Uð8 ¤ÛÔþ>³740"]“vµ¯ö]CkuÅ”@Q-®Ú&4¢ÄïøÈ.Ýe9­Èž;Q,JZWìG‘ƉÛ8Q“57.®\{x~dHÎEÓèj\Ñ©]Æ Û~ƒ‚8α“)U€|ß>Å3A& ¨<5±Ž™ÜˆïNC¦ã¶ñ ðF¸Zã+ÑC$P£Ç†©+uMgkåðÄý­Øðåߥ]­ "¤ÿró:æAœ‘]ÜÇ¾× ‹Ù‰w’'¨¢©¥­sé–:ºÃëËÞÈm_)^£¸TMÎS‚õ*-Í0¹“)ë~½Î>ñÒ˜ï‚.èð+犉£j3}u¹a^·Ú³~/½tÕ‘¸§‹XPt©¡@§dûGd51žå#voñïä¨WHYàØ-ô'™Q×Þk …UÓ¸|­¹‰«rÊÎýrUò%oTZyèÖKˆ6&±ì Èò‘CžÃ”U—¨Ž„šdŽO–zÛÈmì¼(·½_õÞ*¨´†õµóniæžÕx*Mr´à£ÅAwZGþŒø£ùá@ÆhûdAხÅwúF¼[ÇX “ˆÂBq¥{U³˜0fPqbø~ .ɪ©$rÐÞŠvdX–^…±—fÆm3Ũ"Ä€V§©a}OôÝÞ­›¿ƒÄ˜ún†hŒÚI2;kð “iŒ¾U)i¶sIõ—Vt’ŠSÁèØ\Ò¤}6ÿ[v\}@5÷G]qúºý¤v…,T✔iáQ¨´S\܆é{¬Â(ƒš»:†/Æ\‹dŸ|u j˜š,æDŒÌWµ¢y±Ù¤õÁo†qqˆ>Ú\Ãý*ä UÓnÖ> î'ÆÁtuP—y¯ô/)Õg‘ö| 5®üÕò‘Q+h±ÇE·BﶠЎj½Ú]´×©o£ñy<¹ïqÜ”‹O¶ÜCaÌèœî·p®÷.y°@MÚ|“üMìÜi¡9±+JrÃ«í „å ·Ï¦v¤YÝ­xCú†v6piŸ„¼Ö€x°*aeëk!û[‰ÚÊIl*…­zè¦Óž‹§¾³V2'6¼q.Ô„N¨6V¢"¯Þ[)JÓ¢ÔKËyö2RÑ[pÝŸ+}Œ|žld j´‰'jŽ(<M(˜© ¾Üùp›ã‘·`øE8¢Ñ¿¦ƒ¿{Û«Oþ܇Áfg, ¬r·Ž²“xd‚¦‹¡™ U"ôëXæ·»17¬x—ªÇœpLÒ^al~e÷¸J9Þ2IDÐêI=£•–†Š6›c¢ÏÝâ¢J.§eòòÖ3› -RÃÕT)¹­!àû4„ÒºôÇL VóèPô[Q,&Ãõ“ݱ¶BAô!‹qéŽ3Žä7¥Æ¡G)Žè›Bß;*`"êH‡Ðz1`^‡{(%Èw!w]VéS[HièÍaÞ¡~ë³íoYJ¶ñQaÙ•æw7S‡iw@ôJؘËn¤hÊâ°:…)ž{Àå)Ã\_7C4wÎ o;_NÔ&fG÷§\鎱7Awp…‚ÉzU$™ñ•ÅË7„ù ¬¸…µ<ÆÇèá=ûŸ—ò¤ý_×ö.ù0}•!—sòqR£!)I‘Ý•Y%äÝ „#0«ð”†¾ÐÍ2¸Ý=‰‹Ò8Ãj6BH>;sšâ³ P¼¶ü‘4´ß¥žC«ç­E2U°lüŒV¾Þ_ÚÄšž©mŽˆ¶Íž¼À ñLäk aEmŸCÐj߬)½\,më; ÊÅd4’ñ%&§EU%Ù‰k `Fx8ñK#vèó³=MÉIz%ãFª5 T<]`ÁD4 Ó-¼Œ»Ô Š‚àÄ’EFÌùì`óÓ"æt  ¯Z:óbl4¼ëôµ0ÞrG¾ÃÞ>fÕ‚é"%ÔO PQs–<ˆlËöO¢”xAÝ×ت~©yc«½˜‚¯¶TíÊÛøí¨ãÖÖÁ9,*‹B±rJÄïœrHkƒ´iâÚÏGQÏMMÜ`Wv§©™ù 2*èç»\†ÑŠuk!5Lüj},íܪý"<´½æƒ£[Éc„ «ò—p?u™&´«P žšlúõhãÊX¸›ÃêVÍÕ]_¤á®áGaUI߇cŽ•¡»Ç+\ÚÃA”}A`,ï||‰|ÚmLÛ;Ë^ÖöÄk¤¨_äDk'Ùy@ õ>qÉ2_cç@xœW²¶ á7 ~v©Yc‹JtâÑ¥Ëj"’¤íkJF¾÷†ao%\[éÝ3†h³² Œ'3ŸÔcÙ|p÷$=»Kl”cÅ”Å2bq3n,kú·¾ßs¬Ö¶™s.à‚£!-Äñˆšç*á>æûÒrP>\Èmç7+ðÔ•+åîDY)h{V+w_…4a¢®fЬ ‡^ÇòÍ]yàQ².ÑnÛ§ÒoÕUŽjŸž}R™·à†±Æ*OðÅJp/™MÉ’Ø{!é— 'Rrl°º»ÈÉWªŽíñþðÒójËÔ²88 ,GœSTú:ŽE "½¿˜o>©é£r^ÆÔ¦IFÝè<%¼™PMJxlÜå6K-z³¾Á:sjä,È-JÌ?ºpŠ!ò.Gy^VÏ1øãÚMN¢Uz˜“°wØ´1Æp&یܸý—FWí®é/Ÿl±ÆM-y¥ÍKƵ¢žÏxˆcæ»ÕKFBé9jÜãnÌîÕŒÛJ ñwiìAZ…PmÂE· ƒ$,Có‰rÉÔ>À ÚxoÉQ5rY£Ð‡Bç“X øu"ó}bž‹›?íÇ»¥÷=Ê&|ˆÜÁ×ÈAÐ@QJÏ Q­ª 29qš‰(0ñŠñ~¢ËΉð@<ÁcÊJBþB ôS<ŸÄ¯œµØ;¶f//G–ÿÝ%·OøĈQ;öc ŽàÚ¿˜]a¢¢œ1v¾¶»ü­~fK¬ £¹Õ•Ø‚Ÿƒ¥[™$ß÷Ñ!œ044~ '=±x#¬à±AØÒ|^§–JŽæÔ wo+xë‹zÐZð-ÄvÔ {Ÿ­E—ôBD©Ž<ŠÒÙÞÀ¹ïˆ:z5œg·¬¼’ÿáª,!‡AwÝpG0 ¥]C¡Ã3ÌÒé¸`õ÷u¹õÏÍ:¦_öåg<îbëÙrŸèG¸q…ܹ$Ø­u*’EóŒ0(&\Ã}O,§í²v½‚¢íz-F;CsÇon ŠJ)KO¹Š:ð£âîñª)lã~¤§7õ&”W(i $‰2y+€¤w©5¸Bë‡\TfÒÕQS,»ìäFÎ#ê‡.Fç¾Fýø·Êh—æ>'õ„Ê^Ɇúü÷ÈA°üü@sCµio/É:ØðvQO•võ9–¦u *“Ê@ Ò ]bŽ‡x¶È6-i°Qý÷="5¯)aK¬Èý4†[+[ñïÉtáfªB5›%FßâÞLS`ô¸Ín;, (P$Ö1 U×±ª×à †Vã÷Õ!Ó_Vãܸç`R¶8¤üá%Ã$}•¤‚Q01­§¬$EB¶ùy—Üš/¦È‡ûTqW„û[4 7½âÆ=Þ´bX0W‡ç¬XÞ*|nÜW‰ÙŸúºä­)WHɘM°bR#SÏÆ)JJ™}ʯԴ”œy,¨±lco*Ý«ÄöªØcz–ës4pO2² áÙ°DÞÞuc<ˆ}Û€òšZªå®Pî¶pWUjažÃÝ?»«¸2*Ý¢ÛAy˜Gåf>kÍôò”ûüž¯–c¤x‹ó¬pâü|Þ6û²0˜%P= i˜@Œ£+*Ñ Ê°'×L{­€¢PyµÄiÏ´ï'[’e|§}üwPÇ4²´T,j£➤³ÀYíÖöÌÑ;L8á¢-¨Ä=Üc¹ÚM$°ø|Þ¯$5Z[ÞŸH6sõ«£ôÖ*°±l³}taßq‘ïH áé'~8nmßKÅ|1§ñOöÇz\ªß»ÓãHÜ÷wë¥ÃU?}ý]Ìä‰SGÿ4cÎðZ¾ ®·RÔåu^ƒmšö+¿ýZ ׳¼¯FÒ7›Sš&ŒÄë­ˆ•kæA–Ñ·"ç™rù1cæ.”_­ýHÊ$?¯“Œ¤Ä()S½Å!ÓÆ8Ñ@]uK…-Çø/ŒW¼õÉ1-Á—ßåÂß0ùŒ‘w×òÅŸŒ@‘%%UTƒT0d†{ ÑŒHÖŽZϦ>Ê §D€m¥R{DN¥d-¶òÚüvp²Œ‚¸’–ÄŠæÛ1*3§\GÑ7·Á~#IÁaG@u’Î?nï2yS¾~M_Ò®LFÅ’@OHˆQë„Ö<®ÀŽ·‘¾¸Õp ùQB ê*"¯.s†¯[©YgÚ*%ûbö4Pí,¥M ÍL FÃVÆð*mÑwí¹•¥i×ÕЛïñêîÏ6Í£˜Sÿ\z Ä©í‡Ê1±f“tÈ¥ûÅv4 x‰æ˜cÇK“)ºèöÁŽ+]5ꊺ9øuUŸÂ2H=…SÝ[kÈÉy“¶º¼‡APíÍñL[ð¡P`Õ‚D§§ó”dqd©¢ÚÉôÞ%‚òE6L‚A)Q¹mˆï ó%4d}ÆÞ_ƒíg¡bD $d\p9IIHÈŠðT°t+)ñðÔLŠ“ÌZGÜgÆm½ÞÍgìDNÍô“õXÒÌk¦”­¥² \ÉP­héþA?Íá_¢BS+j¨íAÜ´†¯©B³©„ƒ¢,N6U¾‚ÈÏ"ósÞšÔ+Ð_‹Áˆÿ}6²ü4MHx'|¤5?fOrb¨û& gßIÞ9¤òµ®0o”œÃáiË ²WN\GUàŸÀ¸Dþ¶õ.Zò/y» Ú:•h¹Ô¯mTÅú#gFa¶ m¤­^Ò~7¥Ä¥¿WJØ46i.……ùÝ/AŸJÿ'‹ê­  ÿ˜Û[ŒØŽÏ'XVcX^Nœ¯Y1œ:õ©iloÐÈBÅŠË£êpŠ6e›<=ìÉXŽGûS¦Uº /ßs”g‡Ûý"P{?‰6¢Ï¹ìr$ŽGÆÏb[zÈZ÷hÇ[Ž)¯.[eñ†1z(}6†š~0ûHxªˆßE$AdÊÔ|žÎ䢸QnØ™,‚˜xÏ÷Ä–LLÄ[)H*‚1IÙEíGÑ+–p[çè¨.z>)U­K²W¨®ß+ôóZêø¶9 ñ;ä3·Z㦫,oé° ¶;z"öŒÅ[K©è“§â_’»èÓ÷?âÞ¬™vö´4€±n˜¬“/߆ˆ<ùÃwX°…kVhÚ‡Ûéð=šï9Å£5g]-­!Ô´gB»WÂ?;_®âŸíÖѽb|¾P"úŠSÚk¯KÁð…^ Í@Q][T.(Ý:à5 —*òm%ªiý¼¿ê`k:½i]¬éÐ^ZCñ¼|×. Œ×kšh)ÖzúŠ9Ï‚ìnF êÃûêý«^ßLžQñ/ÈÜWÈ6½ùßÀðìÒaŒÆ|5v/í¹u6®£ù,Aøh…3±Ö»ó­¬µ ^¸*Û]Gñðm>ùsWˆú}ÄqU•`Òèé™°Ô¯I 3Û#hþF±|$Èk¦î2þ'½“ƒ˜¾_”¬ØÒ½1“P(1–Í# åo¨åØàØûOXØSŸ©à¬_óî}1`$ê ì—òë %f %N¢:` V‡Ê™Ëß´ÏI8ÿhÜŒ¥‚)<ˆº;?3C«½Üß‘&µÙéœBUµ!]º[ïA?0ÄV–Bõ ¼°}öÊ:´ð×è‘9F€lV#›Ë4-,Ï® ÷eÞo ³Ñè©hŽI­9>ÄÆ×£%ø’±¤*¼_i‚ðãY.ûAŸ½óäLÙÎkÕqܾiÑmAçFi7{è´¾·|øyÀÃÏœhÝ~¬ü:zw“öœOˆ´2ÞP/rÒÕýîâ~S~‹3Z0F£}BÝS«ÞÀ߸?ÞÄÖ ëBÐ.SIÇUN§}W ‡¢_ßÀ£R })XöÆ<Ö:ŒW4vîn¢ðÑq´¿(ªÒË¡}H(ùJY0ínʪ_×oŽdק•àËå)&wX\“vK´K/Õ-ÅÆg{¿ÔÓ©B×^à7á å}Cn¡U‡­D¢uA˜Ùšè! ‡âÙ£P }ß 4È‘ù8q¾ ·©“«Fá5D®Yع!ãCß#ññ5Ë{.7Ž^Ç { 9A[ ÜD›ý7×+œJaÅÒ¹Aµ¿ðœÃ1<¥Rg-r!3'.¬9øb¢€rûÛ!¨\ìOuãL´Õ1bèìvÐ( E ùç«KR uäèêà±K†Æᬩ ‘ˆX`zÞh»Äq؉ڕâ1{ `¾YÍ~1`!¥ý’…δ~kD" $Œ€çR…Jê}™M¡GAÏBÌnì_ˆÍg‘ï½æ•uïKÈÎbBDV³_+LðËòÙ8|'ÕQL\AeðÕêíFYúD¶RÞFŒ–>0;p+izèê$ÃH6˜ºSRxÊ×Æ‚Aä‹^ˆkE0i#aë†äí•”P”ȃ’v¤-k€h ñÍn¹3ׇœZ;4 ÚŸÖRŒÇˆ¹ü £ëÆw¹Çã*$ǘ¢'e’¹›ýWB¼á¥B®Å&Û½]û­Så’ó·Ls?êHùË„‚>ö§–û!Éˬè[–R^€üéü¾ÝLÈœ9E‘lhÞpœšyý€éì²AEšfOÈÓ›RÑ)Ÿ®A|˜ ÚÏHòN5¡jÓ¹ÆmUûâ·‘Js}qÚ‰·VåÏ „ð´óäŸð>±Z—ôe,Õˆ¸@`u39â×qį‚Ü Æ#š|J§¬žûº×ñÂçlàW B-ó¸>ž…›˜“r<¥Ì=#zÈæGU°]Q’¨Z©? ,ÀW€¯53¤Ò3#òOa©f|¸ú¢Žj³<ßóþÏwAƒ5{F¬–\ÆÔ¨DÓ, ¡Ø ÿæóK©xÙaÈ|~ä(\`×:vîÄX1.&³HôbÖRÂ%†ÃÉdAÌ:ò8²Ò ˜ÆU´Z¾2YP¸½peÜÞA]™eõ HO³¤ ê^j8~3\ÃktÑ_Å e)©? ð(ï‘kkŠ>QƒÑ{®;ÞuI¯Æ€<]Šð(1cÒ83¢çzß7a%1§´ÄšKƒT@š<ÐŽ®%v¡åÙD1ÌQ *|óK ³[—–ìçÒ§Ã]ßùK6ÏܬïžÁãôŽ*£(ÞSÞ5àÂü¯¬ƒ€‰6¾A×Aë…ŸÞI¾~^‹‚“Š_X˜)íªÒvÒDz¢hóùn6Ûn@VÑmÜ> »ÌƒO‰oLIa«ÑóÁ}¢åb’ÞeÁA’4ö¨}%vX‚Œxñq*n(r±CþTq6ø¶÷a_ýW²ª˜íµE†4c'¸£ƒŸ &J53b‚<ý­·„iK¼ôÉ3â‘+½GXå+ñwŒvÍÑ–1õjÈSA Zx›]’yi¼%3}SJ×âÛG$~kÍI5ôô?‹Èí“~"‰úѶڧ ĉd‹CZXx–ãîåg«½“U‰ô­Êœ¦•×©uîx™€Gõ²w0nTÈýŽenZÅ}K‡ÞDJ©œÉô‡n–³/Ê7M eˆ¾¿È',yRƒ˜f‰ÍMNwÛ_ËŽŠ¾º7˜UΪÄfY|¸½ûÅ5°˜_.Û¸ÿ†î"â6gÙæ€Íz KÓÃÒõé¢ú°å.+iÝxŠáÖyŽk¤¶Z½Ú^µWCcï–IÉ$~€È\n<¿amñˆÑ4ê­~ûS)‹Ùí“„õ¯ï±u=×ü]»µ¥¼o¹ƒ ›eÑa8áûžZÜ7ᘠöT–†Ò¿¼“÷F@\™aà”‘ûâ&+¾üYO¥d¶ÀŽöª´Ü›44iIB5Eg½T‚šÁ1~Õà±½¨³Íì­FdÒ‰*,>ffx¤‰j«¸XºJgonk™Ö9/dQ^Á$ äÖµÒ¤ú³šë6Bü±î@fDóÙ¹ª™CÛ‹ýa|›ÎÉðÑ`¤Ïë¨Q?½Qʃ¥¥Ï¨é îËb–Ÿþù¹J€/ÓÚg÷+ƒûWÊû4Èô¹¶M‹%›\”S"ù+÷JÞø™ÆÅn`åÁ7YÜTͬK^ÿ;é âE¶Ù¾b¿îYnU¼ö3]f&ÁõÏGwº{…î[&0¶5N¢D¤¥”ïlÞyÐ$–ëT÷áO ËëUÎŒ®ÀwÒ$œ>l|c¯r‚ĬijüÔóDãêµëúŒÔ;]niýcƒ¬äéþvãt'R²…6Ø€û8È l­žï¼Òi¿z Ú§Õ,“ mK¡<Lý8~%GÚç­†ü!)L¬GåMV ©R€Ñuå7Æ™êÕ—¶Ô––ÛsÒ&ýgÖŠö< ó‘¯Bð|ýÇNŽ«ñp„°ÛH‚·Î‘”o‘g”š–os6Y?[¤RRË: JÊt,ý´È)§L‡ÙsŠv”îI baPw]ÄVu«&(PáàQ¨$¨{WÈQÕô Ö;dd¾TwÓüN%w'¨=¤ŽsÆyzyL©Ì&¾£Æå£~cAêõj>!„ü~Šf¼¬¿Þ7Ÿ:°Cô­:)íkžL© T²‹0˽i9œ+ûïÏ?rJ֙½)ïYwU¤“x¨V5G—Ì:̽c‹}zRÑ"9|è5'ŒÄxl”¬’¡=«LYÙš”TÅÖŸ4et_c2Ы#~Mµå§ß^»ìÉ+»—Ün<¾<[Æ¢ žjUìQáâÛµ5ç‹;ÚùhÆnµ9”Ujw oFŃû#¬g¹‘ù‚›øK÷*½d¸\N1»œ=ö ³—ÎÇ1îwme¾î…Öãñ}»_-BÞ“á§oSu]‚¬a3jd‰f‡KÜ|†Ðºyø\ÔÜûÛà-Ä »3T?¯ÑlÚØkŒ [:lÐ8=¬En o_%µ¸Ö½ëV?Ç\=altûy ×rt]Ô_%YÞc¶,MâÈ<R®§ ìþiÕ–¸ Œ8Ž‰s†ÔsxúeÍÇÊ$Á-aòð'ò…ÈN»ÐíòŽøãèPrÖÔVB10èÂdAÙwù}‰\Aì <®ÇŒx¼ð‡1Ý 0:iãOª‡lRd!·SrN„n~B¼XÓc'•}3É%'Ȥ¦¨‡ìáYþv•[Øvj¶è¤2M³<î æ¸Þ rHÙ(ÙuªÉr GYæ„r'wì³2)å…Æh´ûÉ-ìn@•°%N£ÙMâÞ³9 "‹j'QòÜ)G\?œÇÂ:7n²ÒB¨›Uyu]‚ÜèÞƒ»_è*®M¢÷ù ø>Fâ=*j@Jk*ŸTØ(Ý8>!<™K,kªWw\}ÏÔh1ÎŽ€ µZpJýTÍfýÛuÆ-¯’¡Œõ‰þ›Q¸ÝmŒòtü£ŒÙk Ž¯b]~Ït©wËÜ{ñŒ=Ç©_xWW2™ZÅ™µ!dM™2>íï6ži†VS9uqæõbÎNʾâ[Þ·øD}J{eàÛ'°b2·ÑK`©§gÈký|ÇwK>tTz"ê%FÖ‘4‡v½L)ñ3#fv±YÝóƒâĉé…è$Ï»MƒÊll÷SÆ·z¤°{GÊÆ\rÃÉÎ"=,üU‰š :ég…$yè™ZŒÕi  sïuê?Ú¯J¨…¦|¬PD—‚­ ¯i€[vÜßmjœíšHÆ+0QcÛ¸Z Ÿ—1ýIrÓöeù¨O)oây„óÜXMäËE…lGÇa…>Ï4Þ5Ÿ-l•±|luŸRRŸÆÎ}¸B©®@²‡_æk×'&EêY?ge‡DgÁ— (ÓxpáÊOrÌ5ôQ@ˆzï«Vª2 zо=‚¦vÜ~öœwR?RØÔÎû… æ %ò<'¸ÑãQø 8ƒElŒyÑ#"¹´µn§7âßam’~((Baª¿ntRø™Éï%ª71½rëÙûé¶ëÔꓨ ožûAîJÞàNî7‰Ù!uŠÖ)/\†ˆ–£[ñy¯}t‰cÿ>WfènqØ€e ÃÍÆuaH lhÃr©"–ã@…¦®™’Hò ¼à¹²þ1fEc0ÊRÎÓÔœ¾TU½™Œ K1óômÄ")†|yÆŽ#)–3€í. Å¿öÛ‘¡ü¬fîb—¨¤lzE¨!çøF®œ(@ø²£Ôö ~ ‰ÁdzÞy#’-½§MçƒÓÜakà–,¦õŽA¿E ù«¯ì ƒ)4´Ùw­™³ñQõ$e+K §tzsÑþ¤5„xJŸ(íî%=k±s~H}ó)‘,v³Lî÷­±[3ëÑØ £ù@bx¾ã _g[x±³Aj ‡Ú|æþ:b¯”$ÉS4ŽNK“ÀvÍÎtµts\Õ3¹(>ÌÍk957ŸÕ‚ºìkíPÆØØ·VÇæýÛcç§ÎØ]ÔŸt®3+Ö $*™ìB"iƒ“U[£ÎX±UùÙ¨Ç\–ãš^O»L(‹Ü°›ûØPc7x¼ ‹GbJa¨-- Žz†ÇQ:kÿœ ˆ`SÀ,¨Å¶FÃ奦Ni”ƒïðR\ÚúY*º“‡=1aC:¼zÇ€Ÿ{"Õ>™´s#õ»§ã‘eвWË.––瞢$C•'(²˜—¹5ÁeÓ³£¬0šx&:ñŽÃJËÓ¤7³ê jD™ºßUæ?)¨ º¾.'Îöþ”4Q%Ëí+# ¡Uì*åêÀ‰=Bj8u ¡ ´h#ô‚Œ¢yÅRY^u8'ÞÐÁ²ÆíXù©Ãèü–Eã~9¿ÌPª]£âÈS.©ë¨Â¬7Î(›Ul\KÍ“ïžñ[)‡$¹hõDo0{ÍfŸ>åˆ:-Hl9’Îêòm 86†Ô®ñÁØ„B‰Bõq8ì¿Â/ÔE5Éjü„ëEÛ§0ŠXnÎ?sG¼C!¦¸¯Ù; *<µÞ.Çšµê“´³à®ážÛÁ*-Õñ¦¢ijË°(¬Ž"cŽbÇì êÔÆÅ™M™º¤µp îbù¨NY_ØÄi:¯  —šu^ìNºÈ1•,¸.Ld`~¬A°)0±ºÎ3#k¬nOŒ '£XZÃ=«fù±¿,ùT.ãòj›^I±fÀ{žBþý„™~",ÙÊP<µ³÷Œs=,ÅœqV¹pS˜ŽDú+7|_)4Ê׺;äΗÝôº×ÛÔsg©-&—0øî?•(›×¯æ¤h~4•twKiœPM2aAIÚigT -sÕ¦õÐg¡¢Ñ&Ù_çįŠªq/•Qì[û3tÆ‚õ­æäJUXXc™2þÕj¹Íókðr2 Ÿ×ç&ºjëÍïZ*TŽ…+ÎRžm4(¦„7Ärb&è<¥0ž Œ%»Jï^“¿— Ûgn˜vö( ´CηÌ.¶ ÙÔX>¯þÅǨZ¶1׺îÔIbßö*;Ö³9w[åÑ\LoAø*)iBW'jØÉäDƒqqˆÙ~ú#ìÞ™`yvßx~´ê€œ‘É$aÐ@p¾Pü#+ÛñD'cNt%¡ª”ž FnÚmGž½1A åÂáù’¶jAÑÀÔH‚) ¢ßÏŽ–μLù”W«òÒI“ ìÕ‡¸Ÿ>UÐ7°Þ ¤Qåò ÔL¾Ã6o(E·¼n2¶÷™J5ø•r8xà}1_¼ëp"÷ºöN¶ s5€Úªé—ÌÛ¯ˆõŽ}Þ^üÝfØ$ÆÀ´Sp=ǧRE5ô®h9K‚èœÞÏ£¿¾ýú0QÛˆŒ¼f‘¨Úò1=þ¢± ^FlÅ™Š}ÂæØG;L)š=åÐg1†Eª€«ÍTy0M†ãñI±r'_:f z{ªDW …¤<ÈoïQên¨ØÄtns¢ë[s)¦¿ŠÒæ ô‡Ü#ò#ÿ@ÝS¡~¤¹±&•ó{ßœâ=p¡ð˜ØSRuícô ?úaó÷‘Š–'¢ U¨‡£]Œ)V…_È}=”âÇ·¬Ï_·ã@°š‘Ëú?ûßÁ” endstream endobj 195 0 obj << /Type /FontDescriptor /FontName /FKELYS+CMR12 /Flags 4 /FontBBox [-34 -251 988 750] /Ascent 694 /CapHeight 683 /Descent -194 /ItalicAngle 0 /StemV 65 /XHeight 431 /CharSet (/A/C/F/G/H/L/O/P/R/S/W/a/acute/b/c/comma/d/e/four/g/grave/h/i/l/m/n/o/one/r/s/t/three/two/u/v/zero) /FontFile 194 0 R >> endobj 196 0 obj << /Length1 1620 /Length2 9132 /Length3 0 /Length 10178 /Filter /FlateDecode >> stream xÚ¶TÜ5 ’Ò%!5tH ÝÝ))À0À3tw§t7H ÒÒ Ý% ­"Ý)ú¾÷Þ÷Þÿ_ëûÖ¬ÅÌ~bŸ³ÏÙÏYÐQ©i²J˜ÃÌÀ²0¨3+P ¥¢ÁÁ¹Ø€@N4::-ˆ³-øï0Ý°£üG”#ØÔù)&mêüT§ƒ]l\^A>A À  ü«æ(6u…˜TØŠ0(Ø N fïá±´r~Zæ_?Œ &‡€ËŸv€„Ø2…TL­ÀvO+‚Lmš0ììñ_ŒÂVÎÎö‚ììnnnl¦vNl0GKQ&€ÄÙ  v;º‚Í¿TMíÀ)cC£hYAœþŠkÂ,œÝLÁ€§€-†:=u¸@ÍÁŽ€§Åš Ê€×ö`è_ÅÊ°þ>Ç¿éþîþMþi6`vö¦PÔ`±^Ë*³9»;³L¡æ¿ Mm`Oý¦®¦[S³§‚?;7ÈJ¨LŸþ-Ï ä±wvbs‚Øþ–Èþ›æé”e æR0;;0ÔÙ í÷þ¤!Ž`ÐÓ±{°ÿu³6P˜Ôëo`š[üaîbÏ® …8¸€¤ÿ.y ¡ý'f vð@>ØvY±ÿ¦×ò°ÿIrü?)ðñ²‡Ù,žD€} à§/4/'SW0ÀÙÑìãõÏÄ#4€9ä 0[B hÿa ƒ-þÂO—ïqŸ¼Çþþüû—Ñ“½ÌaP[ÿ”ÿ¹_vy=e YõW)þwNRæðbåâ°ròÜ<>n€Ï³ü[ÿ¿´ÿ‰ª™BþÞð?„ P @à/ Og÷/®»‚ñï‰aü÷ ª°'+ƒŒÿq¾!zúÃñÿìÿ?-ÿ¶ÿÍòsþÿnHÖÅÖöOšñOþÿ“6µƒØzü]ðäd秩P=ÍôKuÀM² Øâb÷¿YgÓ§é€ZÚþû!N²w°¹Ädõ—…þu Oô¶(X æùýÖX9€ÀÿÉ=ÍÈæé=qzº«?)ðÓ8ý÷’2PÌü÷ÜqòðLM=ЀOöâäáxq< ¨9Øý³ìlP˜óS àIžÀæˆöûFyyì’¿C瓵þø¹ìšÿF|vÓÿ ;èßè÷ÎÙÍÿ9ìàÀ'Z‹À'^ËÀ'b›À'f»ÿ@Ž'fè?à3ìð‰ÙþÀîøø$Îùð‰Ùíü¯#¹8:>=-Lþt¾ÿÂÞ10Ø B[š‡„‚­kƒÛ¯«%HÝXwÆEfèvtÒ˜X½–;\n±P’™ª²¿:^J$îÁYÙ’a¼_¦|ðúÙRÖš¨Þvç}ÿ6^cj§ mq’p`âýO‰º~òçd¬Zâ»ÞÞolZà?)Òå9¸ðc©à_»õɹ×õ— ßQß­âUB¿/ŸfÑŽ6 (™¥Ë7Ëž#¦Fvf%GeÆ;vÇž½¸œÁËx¤TŒ…æ³ÃU䥿ÎùîfÎsµB‹Ó©‹„–DŸ˜áotŠÞKò{Š"Ñ‚WiqN3ÛgÁƒb¶Ñ~Ú¢"£ñŽ¯—õ¸R7Šôþåz$½;8´cd÷ÊßõØS¶]ª5jW'DOν[¤ÕN –ô— ô Gÿò“÷õœËâTI!ÄÌsعÖùî…c*£àýœò8wÍÅ÷ÝÇ–2ýŽ½ü ’z¸zX{_ÕfÄ’å– òp¾¨¥óub¯fv力šD½E=mo#Á‹² ¾Žž—ÕRÙ¼›xSTª"ÿlƒf{aÊC_®# tM¥U­»‘zåciã -G´IáUùÀ.á~-zªrpCÒC¿¥3·wÁðý’Ù}Ójºý+wX¹‚[Š=æp‚pŽ4ÿü±×¢ï®ƒS(ØîCîa“«áÚµF*²½,÷_÷[u:£ƒNX´êæ(ÍQMÖ؆µ,IyoqÍoÉ4àÄ…™Êçï ±“uiF'^ù׿ʵ4_Ö8¤N>¶“óÏfò#›Ù¨Ã~YÑóV¿ß½JBnÈ&c¹:]ø-s8BÍ雂eMU{ÖÀá²»ŒflzÒy—O­eœ¸E‹*t+sÓ´˜ТדŠ«€£k7î§UØô©ÊÓþÈNPð¬ýz×òE‡Ú>=Ìi"ªÙ7à4Rij̈²auÎö,Þpý¡(1Þ+Rnèj8ò[Äu‰Uô3¦Þà=ž¯x3J'ÝhÌHñåWâ‘wõ"ϹÑòNÝ Ç ò˜%œ„ªÝa¦2æGaQ‘NÄÙsÒk¨ø8¬^ÆÉê­I[vdØ”þnqrX2~ë‚߳Ѽ_ v¯¼¸õ|«à–7¼há/~·»îïWyO'œ«S%ÛaªP=qÞOzË;5îäF5‘$OŒ÷šY@exšúYM¾«$~ôÅÇþ Q&‹’¨‘ùTl„ärÝKȯh.WÒ<¾¼µPR´³ ™„j°¦Ï‹í¿²bã÷ðmx^ü©¦to•ªß.qI š"J emÇô…‰Ú¼Ó®ó9Ÿ{;¸êâéyD…²ØA‚µ™#˜ë×8ºgBFŽËY,¤v/ÝÄ•y"îí,‚ôršlÒÙˆÀ¦[[<'‡Ï‚ËÞPEúkB†ÒàÑ&»¼†UÜ<‡8©ìkQtô3-£š¦Ãi`ÊÈòrƒ€Æ<>ÆæÛ…î¨ø99‰ŽËC,ìø¢ÏmÉ¥n%:zZ=kA[þ‡ÎT§Þ³ãVC¯P˜Y¦°u­ø¸èŠp­2H×ø¬Y^»Ï„5]¬¤i¹„7/w*õª«'û0œé*hÁÅÚû•bú'Ì'w—= L·ÂÚ.íW&HUö\“î å+sû:aaæí„õH¬³ÑËD›Ø.Áƒ™~#‰Ãþ,!Ñ¥ Õä‡U=²6BWä<óËòß ½ã`ˆ7(W{Ô½ƒþ;ÌA:Y@¥éP­ôèuËÁr“#g+ZsAG©Û6×È| ½³¬ùÅ¿º~5¼¶È”dªAО’²ág«ÃTÐz­mÊ͆$}Þ€/Ys9"‰¯AbOcÕ¶ŠŒ‹µ÷iSéí×°‹O*ç—KÞÚÒ‘ké梘ǘû—Ž»§ÕÜí:sª)ö^lDñO°ëk‘¼àëЖdw!Àp»Öå ¸òÕ~Uh 2¾²’†ìÖwgQj •|/ä褘ےPèT*ÂWç8©¾C\ 4k{s02 ÑØ8jøå[82º-ðHÃ@ŠlXÒT–ƒµŒn?¾W¯ÈÃó¡ÙÒ/.ÀRN¾2|BŠ1àÝÒÌÝr}k¾¼ð: ê v›´âÚ’¾ÙbŸÜ¬;Ñkú¶C„ÀÏýz["ë¸÷ {˜(Ídà/oŒeíV"D ƒ)no¯‘£K2lFÙ.îv¤‹¥Ä«Üâº"þS\ Ó¶ÇUþÚ‘úTêžkKÙù¼6¾›gkóc²!B!sü:Üb8O›\wyú ?\cÔ·qû÷B•ˆUê²ÌÑÌFÓ;ºjà›]#œ´ôî­ ×ý(ìBŒÌW{„?bpàáWN^”_ÄF‰ü*l¹ÌqiÑр͚” |[Ëþøæfîe‘ ->»¨g£ßR΃õ7d–ZÈì;÷ÝÔVO'ÛòÌ(ç{&qÊBUí[!tBÑgË !¯€"2LåÌLj©K…–"¶õÌóš«pg7ƒníYz „ ¶ê:³Ì`&@&'äŽ#SÁ×äDYñΰæ+e­du°ê›Þš5·nGd?,;§vn¢:·T-X€ûjŸÃ_¢ëÃWbÀ5Ž½B%µNldÌA¤Ö¡,<¶>+Aƒ%i// Sζ÷ß7Üè’wp° _w¸7î`ë>Jeä6«†é*oQw‰–¥­æ#°ËBF‡QTÜxÞêM:¼Oê ¼ÁˆÖ>…X›µjLµM˜ä¥~ ÷1"Ž£ÄMŽtߥɰÄé‘{Dp¼@Õ]æÜqn·Fò?U/Ñœ?8¨?¡?R¬‘ší]=UðQîŠÐ4謼µRÊøú=±”›Q¹ü0i¯2*?—­¤‚šˆ˜k›jýf"¼uº¬pÇâ>Ü­Êç×ûåMšûìÕ椸ù€!ÇUUìk˜ ¢DxckC:å4@ìó„ðÐÇ`•/s&ŸÌ¯jð¥Þ \Ò—|æÆ5¥•·¡½Á)‡8ã72¤ðòµÃ…^PòRåŠIúµÖT†íˬt¾"Þ·œ*":DôJ~´Þ“ ¬mcK凢pY50g~ÜçÇ*k{¤WÛMŸØ[…kr:_ªÿD[öœ‡kˆô*Lò”´hÛísn—^¹F³ßÄè¦F†þHWpUOLÇc-0nøÆÖÅÔž(bh©–õ¾"©éăi¿‡èy#3F¸˜A§å'ºÉÄ/QÔ§€e_ŒHÛñ/•žÊøiã‚wN% Ž#äT‘~4o8ýÇ×$¯Ö?Žn3K 2ÞÒ䈺ø¤! ¬Xm” ¨§áå<½á?PkŒ_êMð1Ù£hõ|5)(óæÂÕv½Ænä×ÔdŽ­î‘GÙ¦Oúo8ñÛ6vÂ|dÉ7sáÈâµxÛc3e$Ä®_´ÃÔ„ðVˆRo~¡{°ít?Ùµxù¦pî%ró:G B@`ÁÝE®N¼}8žÐÍ|ŽV<ƒú sÿëXàEðribS`O·j¶:©Íú‡½PÝ\TÛÖK=±ìõÒ‘¥N•ò{WÖ­eã*pÑ4+) B@Sª˜XýŒÛrÔÙcRB´]~ù¥ÈåÎHûŒ êÓExh Ó<¡kZκ,&nšÏ3@£Òa mˆ’¨3WìRñWÖx¯Åh©2aø U]ˆ^,¿Vsl Ñ=j¥']Ã[ù©hÛº ,8§£v^,ë›yQá<uV°5šc°fyp¢®‚Þ^ÎÍwnr&‹Ž>/ãñÖegn_”>Ãõ †\´eÑב¤$½ ö­ŸîÒ3_!Q•Ojòæ*Ê8Q©M@—÷Š,©{§Ç ÿÓ”tëT›C®1Wý$rb¨LvåAUloð3HŒü-B£Áœ+æ ÈMKhÌÓzL7¼bÉ,GHyô¢é;4ª9ÒÚ~œfS©]/®ß@‰8ˆIÂiålM8xWeßÖÔdß°R‘>k’O±TùSqJik£Yï,¡Š, Ò7³›qXdþ|¾×xߌpü]·ºÔCà†& ~ê»]2im…ŒømmIžT 7—µŠÎAreí.,[?&Å…fžÏéÞY©·ðÂPêÍ“ì“ Å]JŽøR$Ž{up2]Úç~7›1òoµØ/ʾâ%•„%?V6"Ÿ# JÔ‹öÍ¥¢i¼(Êðèˆ •ÒlSéªi½ø&¼Œõ IQž •`hJø¥ÜkmnkóÊö:sþÏÒd;†jî¦\›‚©j©Cªù|©WÏ8-?”÷WjÔòÔØ:¤¼l¥ì»ˆ> ››]˜Ýxæ›Þ Øü…*زbFÿ|1-dÒeï#&•ý[±œn«®?Ëó1_ëÈZeÑ pqø<> ùˆÑ‰¶wú¹¨deΦLÛ×@‘/H´ÖkÚ‡ @_þÛÒH½ù¶1ÈÖ&ùFä„XºîZh£mW¶÷݈ðú¢KÂaFUÆ1x·,/¸hŽ™sÓb½â 5H…/Ï^²r­w÷ ×ÝfŠ‡È×ó¡ŽØü¹{WýD™×È­Ÿ-7àˆ`[Dÿ8ÓâÜüÈî ÐhS¿^»&e4w«aS…~nö7e8ÛìÆÐÄ 'ž«f•N!K‰5´¬«úb0ÊG5˜Ë ¨Äo|¿ðnGçÓr¶0Ó)4m•<öD–|‰ÜÇTkfKž½ªZ•“Êë#´-LâSoa±ª¼ »G‹P¡ ÂÅa\hxH»%p:¤Ze‡ÇØì RW>E2_näˆUª!­$¸yF „ÔÀ«§‡‘ —ý“pâýF‚ºñùOø3šó¹Heuöâ’04ëx¶Õ†£àÛytûÞÌX÷¯›î4cìÜ°Ç­J·èýXæp¬`I}¢MõFú×e\–uœÆ2 ì1› •žç5‹ýˆ÷ê6¸!~Ê©Ÿïw%Þå6‰\*º^°î¥»ê¦ißι·¼ÓôdئuëO•‰)$ÐÛÀ²•ƒøy]žê»iCõ-¡öÓ›JAsÚÚBåj¼Ï·Z #I\¿­7q'¡PvÚS»(1¢@­¼À8øf &GùRÔC¢þ[×¹¢Ù)x¤[cš—gå< ¥„ãÇ€žzÊìŒ7\+д›ê±TK“sk§‡ãVÛ¤tʯÕãPI4ôÐ/Ó¾@êɲ߯»Y"«qj$©ÐÒùnÒüèB}öóõñA`¡dY¯þËÖwƃç]è&_!’Ëñ—°£-¾È -ŠÒ„¯±´C2ÓÈw,9LfB¦3 $Äѵüл(‚¨Ö&æÏ?¶öhÐìÖH(.V¬â‘ÌîÓ?ÙhþdËÜöT€{dIi36uôl|o‚•BñÀ›÷7žl*uÔ÷µ‹ðmOÒÀ+²:‘+†;¢öÜuœÚ³ŽÈpe…ÙÇ ŸÜ$h›lh¬‚ÓîèKE ^Á:¢3¯&E¸ªêú5û½­³¼¤ ±*|¬¸m*´dÈWÉ'ü4ñìU°ûUÕ­ÕÓÐ'g+¶àµÁvý©ìðü\‹Sw£°˜,É÷Õ~ùq¿P’í2p;üUn¿ô‹ˆ¯ç$ù¾/Ö«ÒO… cŸwÜ¥MêÔÝ,JíS:dË¿4ß”Ó0*ƈ3 øLöˆJRP™ÜŸ0vZ<¼f‡Ù»Fœa[GÔ×B'Á?rŠfì–+Ÿ½å ž‰ʬÇò؉£ФÁšjz']è ùù^ÞzâML?E>cíém­lå«ž76‚÷c¬|ÍIÝyBzÙƒÏØ%/M„jÃ3›®Mì6J]EHMíÓ·/KdÐë 5Bªà—q­y’´ºQq¾{H4h*føšÁ‡WQ²Äül׫Ñô ±PšL"ªÈIäšó_›KFD a‚ÃHrüÐÛzi‡¤ÍŸÈ÷*…øå³êûŠf8ãµ2g0z­-N'Ákz´% ‡Ê4#¸‚¦LÛ$‰òZÖË™ˆ±œìéáoäîùwDò/Y*{ˆ#™Þ72îå¨ë(”~’°«g¯3½ãœ•N°7y‹1u¹æ}a2Qs>áá×>^“<# ­ÑãèÅλuõÃöö¶û°V{s;ae~.¾V~)pu©œE×’Â¥ÏK-Œ-ŽÿÙ蕾%ÑŽ¬i§S·›êoÄCõà(㺴NsËH¶lu’ŸÕ§Õe«…£¨ÛØ*ÞA®á›zË-~â0Tö*ÍæЂdh™9ðÀ7§ÊJýÅ‘³ Z[—Ë ú…âªÇØ^U€%}:­ìðbÚ[>#!òsóUvà\>”_þ#¿‡R÷Øí 6­ý6ºUë€Ka"Í!äR{–/#!¨ÇVev-ÌhI>Ž¶ÅvÀAºz+ } G …œ¹ÑÎkÌ;V#M|#MÙd¯ôž(õ#38¢^»¦^ýL¶eô5ÊÁѤß³[+KøÍ´ûãZML¯£¶¤1<¡F‰sJeqÒ4lãÁû¨¦{­Y ªøOˆùÇÀòºTwþxÂì4 û³ûêƒME|âS»$ê´,qš©Åø_ú!žj娈¡¹;FõÑfˆ¦ƒ˜Âõ£WíÏCV¼W4Í2ØÈWv 1ÆhscáÓt÷¡ÂF%TòâNŠŸÆ¤ú.?Qv"r}ù•è’#3ër¡0E±8¿ü‚R)ôÚQèÁxÂôÐ6‘àž÷Ì„såQç/Óì¯ 'ëõðà3v9=Jµ¹QWüú™ý‚þ­L¦B¬&4 Ø5c¿7@“qü&k.úÞW]!O¿'+½‰¾žbR£J¹ Çû(Õ•ölåR?ô¹h²±Òóóõ>Í¥t½c×3²~~ö±$„)ûÎÐþ6p2l÷ÚÃÆïèzð”>W©|ö$ÀQ+š»ï&êDóÅЪˆqטCU€,éÈr,žªÈõ ¹w‡a?¥…à>û×úÅ4£WSó^‰£ÛÏU’±YFˆHt’fº¨ià^ ^²â³W} ¦äϲùZòuÉåÅˆí žœbXã”‡í€ Ú·w¦>{”›‹^` ä@ ²)ô-xëÓ’j$åE8ö€iʦ­Hv¶ŠMÓ3j‰F|¯¢%õ¥Ôe]Ü1¹/Ϥ*²^ÛΙ½TP-L'¤Y¹Z-+[†-KtãkûêÇÃÃÆE­+ØèãïQ-Ðü¦Ð…¸}?Ðü #|$1Ù²†”ô¬˜¼Þä"|†§9T¢Ÿ‡”ÛpÛ›ÍH£s11;¾ŽÝD}ÞÖ·¿©ËES³HÆøEf/)8£Ñ`æžN`%–ÙÉÀ߉9&9{¿³ ðâ]ñ2Åç¨èµhÖÓõ‰,Ï8Ð@k2H÷”æ^ªwÞ¯êI9dÑÉ“V}%XÓÐ}ž±I¿ÿòhƒWk¹ %"C(\ÉÛ¶ã{º`ã:éµsኒã#àW$E`ŠÜJØè(S=½¤E¼jé_SíiDJÁ#%¥_*h4ãZÏNÜgÛeëkl5ª¯6ÇÎò÷ ^ƒšÎñ~HÅH:’ “ì¨Ç‰•MÙ‹JœJ¥öq"ÛÈ+_ö]‰t¿¥oÞ˜ºu¹¹ûT¡’d„ójß;qBW.¸é–òVŸÅÈ,˜îݤb|á±A¬f© ÓiåĆyNkþ!]Žú")óqTŽ3N †õnY(èìn/hS+Äì~@ “Ô Tk B!ì™äÆ+‹rèÈ®CGÊãÀùöI½êLœöµ¸øê¼™õ!'¼ó€ulqRÞýÄp«È¥Þ–lúÙsþF¡ j|¼Pëšïžý“MR~7LÓìÒ,/×ù~»q—‰Aæn7’ IÓ_¤Úy_>ákY)úWFÀ1J«ÚÁ? qoWÑi—[‡òš Esú$ëòz»F­Fâ‘ã–P4µ«¶;Fï·Ñ¼0 Õp•l¡4øBjb†;Ú¶­åþºM\ù(‘Ne/ ûÙùÔ¥¨™(4ØQmõæx³ßEFÂó3WéÛˆ¥å皘R€¢ãYÃM¶H´<ÓAÚÍ…QB£¼„N´‡§Äš¨ûlû~ó€wOº5òê’Œ}Ãýnœ´§›§¹ΡƒP`^Rq:³)lÐ'mÚQÙô/ÕK¬Ê?¸­xéd’öòª­$T6ä:è‘èdû(\ÍJH!Ów|NAH.´q!4œÈ]râÞÈå&…]Ûsžl|¿,µHG}xome„p¦s'œwJYQÎךøÇ8uл—1ŹæmBñ.N¯áÐô*U _ýQO½Ìtpt*Ú–¬ÉÍ©;f¼Ÿ8÷ÌSGšÕד쌅…ÛÜíc‰? s2RëiÔ¼Fk†¢ÔÒ`Kó$v%ýç1œïE}Ö{ùãÅäcc”]T“Ëä´—— .R0WQŠÃ€ëK3¾è¡»C79.ÃùËâˆôÚcI…×¢Y:&*Ã¥òrXQ©£±|ÝŠ‚m%Ž¬qÌ«ÍŒ¸’f'w‡„ÐÀ6”ÝX¨/(Û°¢âܵc_ÉR= Ñ.û“£]µn“Ýâ#ï-‘£?6ç}eQè õ®­ÜØ¿ÄMGóỉ³é¼–¹O‰Ã0•[º4o§Ù ˜õ Ñ1ÚûëPWV¸‚”ð®ù¹ÒÖ7´R´ œò\X(0°‰Sìð/ßÇù™É$ë.ç﵈o¬ñû#FEŠm2³à¡Âª9ÊÅ ‘'çÄ¿ÚÚ& ¦‰@žݺϲù} æ¨sðÂåe%ÍK'"¦ÑÉÏ!ÅÿeÑŒš6-’‘›‘dv4/Ü_z"¨ú2`µ«²ŽR3 ^¹y„‹‘_ßÈøŽ·$A1ȸÀ]äý¬AùbxñÏûh¨«Ûj^‰boÏút¼Ø·Ä»(À±WlÙãF!&;q†Ô‹ã<§˜szŸqzÁ›»=›©ˆºz’4ù®<%¼ÊðÛZ%¼cä‘—AÚkø¦M³àg1´nNxA%!ädòùhóáà ¾k«¿j§@ÕTǾÏGž^DGíOsçŒ{YˆDø§\QyE7pzi˾D›çH|Ž“J'‚«ò«ò15¿%>Ék#®¹g½¸$zû“º:õîZð•˜&Mݨ“Y«ÙCòDçæ#;e¼úµh÷wxéT]5ë/ÛՉά œdìÄö]5Ët.”búOC­@{´Ì]ùA+#MìS†9q¶½üifñ|1sµ±¼I_[hd¸æRg>Eñ¶ˆoÄr{ütÍÆì¾evÉýÔ”tPøSSJr•©:Pm\þÅ`äË»}9«šåc*óÇCn•Ôêû7ä‚ðÙôZ‘ÉY-ñ?W%4§ÐxÒ\sÔÌaÓ'|ê¨Ù`DÛ“©ZÍ¥2û€òEÆéo+÷­´ó ·V¥•ž”c¸Ì»ÒH^=Ävv· ƒ†/<íýÂ9SÌ’¨µQŠùŽ=ýæ"µ´Ë 0*_ÌÄ$Œ!èÁ¥ÙXOúÀþWHµ\y 9¼s„32öÃ9^ôJüÖª/ȚסºX¿kkòå5BræÁTƒK¾ g2Ÿr¿ô&”å E2|«íTh)2Ë]M.^Œdï1sœT˜º8\aŸ;KIdþ¡÷¶™ ˜o ?“ÌÞE’êôþ…Xåì(vôaºë]L°ðÐD¯¹³µY‚¥1ôW°#gòáŽúO]‘œ‹eZµQ— £ôw¦*µ(8OLŠDâ³ÉÛï$Ÿ:Ç’MòÍóDpGbºßRâ—ï…DS} b`ØÃúî¨,bbتÝݤ¤.úþ!Ø»Þú ¼ZÇ_î}_Ôö˜ýož– yË°éÌ‹wÒ8Ï´—o"_óZ3KÖ™ ôa³VÂæ§äQÏŸ_„::ª…%2u2EëxŽÖ!Ä­É\,é¢ÌîÎ@d”¬¥DòëÕENßÑMdþÄïòôs€ë<œõý,ßosãÉÿµ H¶žci®ÙWÁÕRñ,ÛÜk>~¯]F»¿ ]ˆa&dP<<[ˆû¢t§àbR÷°#aô>Ùqƒ‘Né ßÓ½ïqeˆðèEü?+KÒ endstream endobj 197 0 obj << /Type /FontDescriptor /FontName /HYLRFQ+CMR17 /Flags 4 /FontBBox [-33 -250 945 749] /Ascent 694 /CapHeight 683 /Descent -195 /ItalicAngle 0 /StemV 53 /XHeight 430 /CharSet (/B/H/S/a/c/d/e/f/g/k/m/n/o/p/r/t/w) /FontFile 196 0 R >> endobj 198 0 obj << /Length1 1499 /Length2 7155 /Length3 0 /Length 8159 /Filter /FlateDecode >> stream xÚwT\·6] H‡ÄÐ C7HK7H  0Ä Cwww‡„tˆ”HH‹´”¤Ò! €Ä}ë{¿ÿ_ëÞ5kÍœýì8ç9ûÙg­aaÐÑ瑳…Yƒ•aP?/P  ©'y@<ÂüŠÇb†»C`P‰ÿð+ÀÁ S!aš0(@ÍÃÀ/à‘à•@ ø_0¸@ä ±hòÔ`P°;‹ÌÕ±w@ wùk `·áð‹‹‹rÿNȹ€á  B8€];Ú€œú0áó¯ìR„«Ÿ——/ÈÅ·—áàxA=°;î ¶ü¢ й€ãÅc8@Üÿ€õav/ @Î0Ô™àµÃȽúªmW0ô`?¸^ €Ÿ—ÿïrfÿ*þNÙØÀ\\APÔ`q´•5xÞnjû+äìC惮àßNþ_0òü~®0W€’8bFþàù¹ƒ<ÁÜà÷ŸŽ[xüü[ˆ ` ¶‡@ñþ©Ž„ÁvØÈÎÃ!Þ3 Rxüà¯Ïß+ ¤¶laPgŸÂ7—OSÇÔH]…ë7á¿]òò0o€À# ðó‹ D‘‹€Wù›ÿ_Ü£: ÈŸgþSQjˆÿAywÑðüSìŽ àß;hÁ:Øÿ‘½9Phƒüâÿ?‹ÿwÊÿOó¿ªü/²ÿïó({8;ÿö²ÿrÿ?^ ÄÙçO?RÅäDhÂsýïPcðC¬ ¶…x¸ü·WBN†ÔÞùïK„¸+C¼Á¶:„Ãú«ÈòÎ(XæùõÌxøÀÿò!gÍÆ ù”¸#;õÛFŽÒ¿·T‚ÚÀlÍœ€°‡ƒ|ðGZÂ?~äpÚ‚½ëÀÇ …!)$½€ Ž÷«ŸÈ$¾?(!á?AŸ)í¿$ó€ÿ ‰øÜ?Â>w°'òáøB"HIÿmóøpð䑈ì·ý/B6p8rÈ Éö/û÷‹{ƒmð–æa6’áŽÍá]r½x6'¤gY6³9xü–à¯=®°38òC×áßå2Fß‹ë]²"‹Üiö-ü ;+VJ÷p« F,Y²ÔÓ÷Úa’ʪèe%mz 9_Õ¯xÐìλγV|'°_µ•LOÑ­ò÷ö¯>Ç»smp¦Qòä7ЯšÜ°ÓôI+šÙr<º^cÁ@Ÿgr0=_JÑ\Ê’“¾Öb~Nɯ›åTGèP³5@ìOÓôšÃtÄæh…l¡+N: 9cR¤÷)Ú;¯26°Ç{;ÌÇ ø® Þ¼g½ØŒî —óúÏ]›=µPpF²|Ä2¿³äFEL‘“Z¸¼Wn†ï4Ž¾pˆó2ö°ìû<'òÆŒ¼5Uº/Ñh؂Ƥ¦]@–¥ ¯®sp—#–O]/½#È,}¸<ŽY^cj~× Ôß›)Ü!È¿Øã2ê½%“y.»E»àŠˆ¬±—î ƒÙçÐ¥ÅbŒD«ËQO »oþõ®’q…ãȱ9ˆ°<È<ï¯+1Öät›Ç½4–Ü‹/¤žQÖÝyÅ<_^¹—\§ã$;8îóÊç.Z(¢“D óûêÚñXª›´‚ 3à˜"³ý‘íR_f[à騿®X¨ÿzŒ5¿•o]“#  %9s¹âÚÔüA)ï0ü¨ê~qà—a÷žÆ—Ö»z>999¬ðEà\ý9ŽÝZ_Í-éOY$·ŒlÚÚÛ™·CÈûÇõàÊ`~0{Ð(µ°ñ*õÛ[c«ïÍ—ïûqGù›¥ÙŽ“ó¹çWªú¿…9 %-í)Ø)å‡_)[ÄNÅùdBüiÞÙâP`cMñ±÷²Þ~íÕi,—©pç/Žw¹¶‹›ÄBùñ·x6*Ѥ6Žúþìeö †' écîxR™™Äˆ³xn‘–t4F.Å¡öS¸ƒ†”¶—È–Úµ—â_7—{’É‚~8J1ð9 Ô<Ëzóe·G˜z(£©×þÎ5u—b“—t-_LµP}ÒÆü,_›þº 2r69 À s÷ÙêOñÅö1´Yñ£’lwðUD×^”˜è*CóD#,Å=µƒÒ‘~?P¾T«L‡þ¢ïøñû‘ql&ù,dt)b—‘eOEééûg×öåËø*éé)"颷ø³¤ôçØì u<ù`Ž¶á­grÆCþ!‚R?L¸ 3Z/­o¼êc‚&ƒ"€wF‡+ ,M¦õ¹÷¤i©koUG"†Kœ®®ŽÄCÉèÐYG(—˜aì’œVùž²¹³ê¿Fá4la¦{±˜I÷ %1d¥7­*=Wh{à™nI¿hN·l\PõC~£ó¼É’äµpkå Ô,çdõ›áîMëHÝñ§­W 6=ðcObÕ, #Õçëõ‘æú‡‡Œª‰õX[žAEî¸X©n&®ùX“:wÂþwèþpí1¨Á¨66;ò@²Óu#ÿ…â½H¡k@£ë§Š=÷Q1¹¡íWY_ >ï¾¼+1AâÙŸÝÓhÙüzÿÅxÃÀ1äÞÑꡲQ“Ë7úC%LËûuùœVSÚý†û§xÃéê=u*oGiÝýƒª]Ôž½a¦ZmH<ª°•ó$‘¢rܨïmÆä1Æ(Š<Ãx8ä_!Ò‘ãO¿™“<’¤’DªšÕf5`çäöðÑŽiÊZÀ–òFú Ž`yø{k ÕJ{ÃBaœ0ppÝÈÐM•ÜëÔ/ÅÄÜוß8¾’K@¨p†lŽL%œ{vfBïK)犾Çàã;mè1/Ùë3â}‘Ÿ3wzR† Fí*î¯Çà"~64N-âU.ß QèsÕλ×DL¨ü¶/KË[Ñb¼HŠŽâ ®‰)pÑ{"‡vd#ÊÌ4p>4½òKDwŽ«ìÅ©u›ˆxrˆüåçÜ”*‰¢ CŠ>#,“ù•ÔŸ{ü7èÑß5ƒóÝ1®žtN•Þ-èq± Š¢^ãÐ7¯0Ä4} ´»hQ&Ø«¬m èôÆ Èê³ø·Z³4~¾½É*Ý×bE IÈP*i¿5QS;Rü+K5ML«Þ¹“ÌÀèÓ5Cå:÷.v¦õsqxôÆ|ƒí>‘/ßnÙÕº`Ù†#YJg/;­ªNÞ 3[CY܃‹Ö¶‡cÕÞŒ­ƒgÖÙBBOæ:·R»Ðf‹×‹H½~_ô6O}ýYÄH‘8¹™ª_¶Î•Lu˜0ž‡ +ûa5ù÷YàJµgQóIq‘ä±ßŽà7FÀ+KÞn ë"°qñ!Qu©Xß{_5TŒîYÍCØ~ÎöG¿åW½;mÛù8X=^PncãbÒzß<´Ìø|Éy.½hD„Ñø““ÏÒã÷Ìg<*:å3°N Ù<‡Ð½d/à:"îQ‹Ê(½W³aW±J:©f#Þ„(5³| Íá%m¡õÓ\-m9„EÓo›F½#Þ %·ý¨"HQ}lßSšg‹*]„6[o=0w®{§‘ê`ƒ¶wmÍGP­à´k”{»¦ˆëQL Âĵ¼C)ÃƬ=|3yANÌnï#ì¬wÕþÓ¯{ûžéë zÝüø6`ÁKÛs×8c{dëò"×?©|Ì—}±Øíõ*Ep6ÀGýµê /oU(*¤Å V+·>†‘¿èPh¼© ;Mž{|ïSÌ5ÎvùCYo” ßðõèØ óEëðD' Õ½É%Ü)UÔ’@ì‰Ì²P :˜âňáë:J¥šKåv˜$ðÃm0í±ìÚò̲‹Î” 5ãÓpÆÐU#>i¢°'õEÐ&Å¥>Å£JÍ-Q&1Öù}žŠÊËbŸèÕ€xÞÚÙeÚŒp[£Jx“ÁÚÜûÑp£ ì3b¼5Y\Æ(MúfÔÚ».‚d):.¶1;ÜD5\éúÁS”}7•'û%‘N>çô¤˜ï‘Y Æý(pÂaùÞN^²(]®ð¾øûQãG­ |qrÑV¦êæOo‡4ãÎÏóW šze[ä}ɾ-èMw—ê’6ûÖT-X“¸ÇUìŸÍê<Ò Ï!ÀPá^è‰köoúÖmžor&çjv}Ç.\WˆíýðÍvj9/û¬{ã•äƘÿº%–¶AÑ\!ö“½q+:Ìðû×Ì:ÆKe`“£°“åii;%–÷eÚÔT‰®¶Šå«.g¾#˜Uó;È"›_ΗcúöF©§sax«’9áya7Iœivb»L/]W›u3•\~êlÏíм.=¶¨¸à.]x&þ™(qI)Ìwùð‰MiLcžÈ-­ÌXáòƒòIËB§_PN³×a/ Œ±s“çVh‡xÝÛ‘)Q†Úó3lÊuø>4šÒ{xE6 šójw±™ËÀ©F!^Ÿ½,A¸>jl~í™ÌûÍ'XN˜,}kèý7; YGŽ»!ï¼jŸe­$áÒ8{îY ‚¸ÜèCå„."–¯sJV‡õ(³òÛÞA^?pØWF#sY[žæžŽ‡„’ÆiUœMn7-–MÊÈã;q±¢½y4Ê69éþ&,²3ÒR²;§¶4ÖíœÝ²ê¦½@â ‹wI‚ã0”œÎl—ZÃú1È«u\åßû^gÉe(àM/_´GÓ¨£aM?Gk¸ù‚©÷Þc|8,&°ü¤hz` Äwéyò:DQÐÉ0ã̬wf‹š{¯¦y¾ŸŽ’’{ GûÞËz3&Éc¶ëÁ&,">â–ÛÖ¸Œûñ×¥}sþÜ¥žÒG;‘ùô ÑÕùù>V"&:œí[gIèiðµ^1lR?˜M:ÿV§¶þ‰|+ƒ­6ŽÈ^…1‹}¯Í¦Añ·üµ¢Ö*[Œ;Íh¾Ž§ZŽA‡}fZs2Š9M_~§Ý’drpXQýÊ$ Ù °ÚZú³IßK8©!1…q–~ȬÅG±Fm„›iÜ:èMŒix´§(À›h=[ý‹da\âTºÏ˜gp†¸ˆ*‡*#.3CÊÀßóË—bÝç°TvR½Ý¾¢0CýgV„Rô—¤ ~T±*S}à.®Ð°-v…ÐroÜ0¨¦œ· l<Ì2ï]d8ÎK')åbÌQ \(±Œ¶Õ6’ pÙÂu;gÈKIù$ûRŠ“?¤\(üþú(ÈÿŽÕ&|°ç(ÿ§êv@'ªðÇCVüP)¸¦eZ㉳ÂôRÞWÂ`êQL²-B¦ŠáäÄBé2žÜ\šk'ü»_{]]c,?7$î×!:Á·ãGñ¡]µ'QÉíöåݦüÑIÁ[öTçøØÏÒNnõ †ÚcÞ^~Â/ù‹kl’ókBôÇÜ{"Þ6_5–äš@aKOªÎ4PšcR‹=È éó>áæJ—O*L †›uxùÅnPWU/¯ ´uññtÃîÈè Ó}VØË•È8{ÊôÔ²­G­‡ GãÓ9à…g­ZqoŸ{ h fýÖï^ ’iw/ßX¶&$JíM„Ï*îsáVÞ¡®9­QÇ4 Ò‘¼ %‘ú¸ áÝ=özL-Ñ8;ÁÜ…# ÈÒvS!]SwX3K§«-pb.!®ìᔌњO0+ßcÅ"¥®úÁ4óóÅ6%ºPA@©/ÜTv”b”é”Éæ优ød2~°‰ ÚÜJwýç’{æ›òr_½™R |Æi·¤¿ée{é韥Ö]r¿ •Fr­ Sx|tÍ ÔE$CP˜ãæCýí´óTëñøš¢¤rš•tª9éÖY·|¶ž¶å*v©E¯’ñ&fCE­8lzò /¼ãÎò`b·éÇzÚ CîÏb3):ƒ!p³? üC‚Çc¦ÜîëÅüÆœ*þˆ{FætEÏ2 P»Ëe_hÒl€¢œcÑ]xl¾Óöˆ¨¡úPüegçºæÛí¶Øô®F [‚ãò÷åÒÃÛ!Œ<™2Wý› FLi}2¯í¬& -å `Ðt/­î¬{“>| ÂÏ&áÖ²P’DN>B¤óí÷˜Iÿ‰[ÐÀÓ:átSW@œ{E>•âé' t­A5 ÒÞ–ìò;੨Üdìz%ž‚Š*P¾L‰j!mŠ³ûªZŒ"Mæá6ZØUÂçljCs:;oöA]AbïXORwõJm)sç2³A_íÏVÝ“¸#ÊB²¬€Ë#%=OÕùÞ§UûA;:†/Šè$;kW-{,«Œzü*Ä ¯nŒáSÃf2¢(Ãz›„ý¼JwÌÑÑ‚Ñ"¢ÛîCkÀû8íðEts›Mê÷쯉VG Ã…¯÷)œÏäÎD_S4™“ÍoÒòNMThOzv—)´Äl»[W¦ÔÍ×Ù:´úíZéV{l>Š©Êª<&j½©‹_겕ÃâP’™RL|á뮜3ÒâóE‘'yï6-édɾ¤öÍ@èëxd]eÃ-Nã®EŽSŒ…´ ©¶òy€¿vø¦ë`ÏǨîîæ2jýþé.ªW'^í·\¾|¦ó‰v­í«Ê8 +ïž4ébÔ oIf ³ ©(NçÁOxX7cK[O¶Ú!~‡Ü‰Å4“æÏ8Ò("DîYú²HãH£Ó%æv’KšÙWKôƲ…Ñ~èÅ*üOU¬Ÿ4f‚"&¦Còz[mÊ…»Ð¹äÝF»¯/ÿlÊÓ¥ }ƒÁŸ|¿¸ÐüÝÁe¶Lš—ÙÄ>N#&Íçì;)¦ª0ÿC+`é|ÌÔ24ß)'ÓW&<ï´¿Š£â7utQY“`!”›¤Rî›ûRÆ —º p]lˆ¢…zæ}b|Ÿ‘S¸Ç÷2Š´rCÚþ)ðŽ¼2éúÔÉD„/– Œ£èÕxâ1ös‹Ûú‹šÙéüsr»]‹o¬ýúóORß‚_›1=èÕϹ‹Ü›Ï´dÿPŽ"~ß¾•&ÌÒ-kA/VB1.™¡òçq¸&ÛGÞmzš çå ½ £åbɬbYx’'•5¡¥Ú2ëbq,¶ìJžµ Ã|»äÜL‘ÖoE˜áJÙe—)Öž*Ó÷T‘9ë¹2ÖÞHÊ4x×5øp¡O6-õ¶_Z” `½RŒåÿ<ÄLvèõš±{ì}߸û$}K=ݤ££l(g¯ v[Z¾¢d{p…Ú}Æ^ÕcÕÐwdjÎØ]´ÖC]lëƒB®ª×¼ vRr?÷$çªÿÜêð¨ŸØ¾½¢ý¥tË dß®@\Ñ2÷”pðRCßÐ9ø¶È. Œà2Á }öuà½ô¦¶*Ð~3Oo1þdMs|°¥ ø”#uB¢PÓêtwsAc8 %lq@P}ÂÈ£vAÈ‹•XI03‡ÿœIþSLA9ËGYÖE†Æãóõ­)ÊtwÁÒØ‚yÍO.vÝ­^H”+ºìu PÙæO)´ñ†µ7j$Ù¤S®eÞöflt)­„ ÎIû9¸V¿Û[¨ÒÉNsìòê×NêeàI}ðdi%ûT!M2^rhù)-j™ st¤ª‹úhwáà)`÷©pÊ1.¡±½ÙÙÅÑ•©ìLšÛγ¸ã†r{Ïm˜Oó“¥'Ù„šÝéç´éJ ' ‡a­bOº<ðÄ—ÜÚÂÈÚ……ÄÉꣂ )|½\µ‡OUä­¾øsS“_ÒÔ–(À+¬]þûÂæ endstream endobj 199 0 obj << /Type /FontDescriptor /FontName /MPZVKG+CMR6 /Flags 4 /FontBBox [-20 -250 1193 750] /Ascent 694 /CapHeight 683 /Descent -194 /ItalicAngle 0 /StemV 83 /XHeight 431 /CharSet (/eight/five/four/one/seven/six/three/two) /FontFile 198 0 R >> endobj 200 0 obj << /Length1 1499 /Length2 7144 /Length3 0 /Length 8150 /Filter /FlateDecode >> stream xÚwTìÛ>%1º$•IHÃF ÒÝÝRc ±9@¤‘$¥Q¤A@¤$$¤Si$图õ{ÿÿ9ßwv{îëŽç¹žûºŸ3¸n *:"`jHZ,’*ëIA Q!HÀÅeG»Ãþ@\f0o‰þ¿²7 ‚Æb*46L‰jù¸Á¢@°„4XRŠ€@R"½¥*_¸#PW¨…DÀP.e¤g€7ÜÙÝå¯%Ê KII üN*zÀ¼áP¨ A»À<°;B!î@c$Cü«Œ í)-,ìçç'ñ@ !½åx€~p´ І‚yû¿èõ °ßÄ„\@8êØé„öƒxÀXÀ…!PØ„#̈Ýh¬©Ô÷„!þÖù#@øçÕÁBà¿Ëý™ý«ñ;…"=VLéë ú²¬Ês¤0Ív‰Ùl¨&ŠjL6l:º°K2YmL_?ôbS±ªû « ‰ÂZÐ¥WÙ7üÜV-®\/Ÿ;ù´'~]êþUÝe3#'V ×^Kh“^”}Œ7³~P<Æ•çð|œ‘-xƒ˜fÏŸrìèx”&gèŠM+‰¼/Zˆ±Zy|:8ûÒDÕÆÄÉdÅxÿˆæãÈmŒÒFªÃgLIá\Á˜µOQŒè—6õ‰%I™xÒ7ò½ø·Öœlµ’Ö÷#Ô£+¦S_¬] ”߯ðÄ_[¿åôÞ§ÚÁLÜ(£©}ËÞzñBRù¤:ƒ~I"&T‹ã³¬ì÷S¶=ïGÓ¾lrÓlê‡L©·"…ÉÙ ÉÕ(t«Cº„=n²ðåÁñd³ß‚—¶ç´CÅiåȺ .H“´lËk²0ì Ù„Ùæט?ñ±ÔðG»¹”Žâ¹êûm4ñÚÂ#Ùs»-¼f'šññg_4ô&{2Bþ¸hpÜ<:™7;9uümóà ü"’x·ÎÔµØûíx«WuO;…ŒiÈISùäSjïCƒˆVž®šw;#[’v’.Ç™?T¼uh‡ßq¡NZ* )ág}b¼jyI§´¾õŽŸ…™í¬–\ŸLló„»%ÕÛ»îŽï­Ø·eÖ´«–›ò"‰w¾Õ˜ï‘º*é9=jŸi«7è3‰›$l,ú±ãÜýJõŠ¼ÏGÅ‘.rRô±!ñqš“•±S€ÙFv‰ÇBQãâüˆÞ©ÌÏœ8ð$˧¥<‹E·I†QÍÌ9.–‹àÑû€Iî™U“Œ+ÞÒzNM®Á+¯…'šU‚º4ÉCfþnƒþÝ[ sïÆf²h­æµ$\Bw_-M˺(NWÎ~$”¦jåHD:Lø6ÎÑ`-Ö—l‡”yÛ¸yÝ7@É}׎ ¯•1ÝÌùN8²ó'µŽàØo³êϸ1àÏm Žƒ*!Þ-)*úV‰%ª}BC‰_d7“y¸lKš…EÌÚêxë[˜ŸûÔݳÂ3¿·í±ÛÈäÔÈDt†Õ豈Ñ~.¦ÎDÇãP÷xÅö±Î“¬aäÚ“º7<Þ° ¾)ÌÚ»˜$á·ýZ?á«Xõ€Tíÿ©îÏVæ˺µmQ§é¯ˆ×÷ݼ:çQïÙ¸œÿ´rGYë¦øAøÓÃÝ[~y£¶_“ÉNé&» '}ŸòàŽˆ „Á:öß6Ë Å,o¥É?V©ò‚yµ§vP?/g%®ÌË-!öWÝÞr}I¿ž˜Ï'Š|·X‘f9ÆÂðë ]Ö„vË EGsËæ>¨ëÑÔ:gí8Ù|ŒRfGy"Â*sEÂÀ$Ñ3YÕ‹i׊M<±£1+½"œ×GÚ!|~åâ^±±Ã‘ZI UÆ|÷PM x÷™A©dtðÛµ¬É‘³Ø¼§/+ýC<$:eÌlµÝñÙÍ~T¼`W-¼C©Nu’·Ö½ÒU×Õ¢íÚL±þ.¶Ó8Ý>ÑÚ–’ùêÙ9¡M6'¤Û‚Û@Ùõé´:‘"Œ eÉÉäp^Vûyp8%}—‚2çó&«Æšóg§ ÊN~Ù2ê€Ý«èÕþY6É¢_’f˜#ÏóâH¾ß£PŸµñ/è—zû¬6îY 9$:Ï= aÿÐ œ¦uì&¡¶³É¥`òMRì¢gœY™í÷’Š$n·Y2ïz/ǼL9‘[)§d»M¬Þ-ï]h$‘YB‘Ñ«Ã óë(bLúÒ™®Äï=¦”]ŸÉÎ}Øî ÈL[¸UýR„ñaÒÜìÌV¼I4ãŒñ5·UÂ)å~>ËsIËhYˆÓë‚M˜wm$/ÊãøÐœâLw‘]âm¥Yu³UÖ¦D'À“ÕËãd§šë§s{Òy7“15¨×²ÖaÂRZ}¨ÝmÕ]ôzÙ& Î7xXÓQäþMgôÉS¬oÎt£pÓð}#®åÆ/+ê–X•_YÝD´*æ6`²²+3Øš2ÀјLÕãè-¡ #=1¦F·ù5:?ÚÌwQî)U~kÎÌÚ¢µ*N,S•7àj¯zž8ãÈór{½0KÂ<ܦ”;àbŠBìÒ^×·µ—î©d” ¥î G4©ÓUG›wpûIclÄ;uŸ­›}«O.Ÿs•4ƒØAúÚ¾± b8¶G·ÖŠYœÑŽ¥×YôÓfîíóRïh¼zG4¦h7­ºÙô´ëªø‡©sŽŒ[W1ŽSg•RùÚÄ>×—£Ô.šqÜdœ×Z¦¥=„„"…½Ò¸Ê<ÝJ¡Â,äÖN_W}´ 7Óš)´sV÷ž¹<÷õ·ñÀ{*N¶½ÎÇî½s’Z×w×úή¸OÈÎê=i6~uåPé÷jüìzT€áQæû›QVéLiŠhã¡ ­ã¡~ÙÊ2³.Z Bó\ƒáу s¼\O {Sa‹©£äzíç¦Þ{fÙ»)BEèæ×jZ‚½Çk,Cr ª¦kš‡Ç¹è{ÃOÙŽªë.†ŒÉ>6èßUrÇY9Ô¡6ñì±|冀|LÆm3|.½3ãšüu¹d^zü 8XžCµÑo-.-ea:tÅ3Êœwæ°ÙÅ3÷ªÉÚµª/IZn }ÖÞÍUƾ±ÀžC¼ùÖ•ƒ¿g©§×:c“<ðô~@ÊzYŠÍp3¥þIóŒŸ*ì‰'±Ùù÷ó àë  M+Ç—ëY šdËš£™§BEÐ͑ q¤|ßJ˜[2üö®_RQ“içPÝ:ȧUllŠžà{ù¤ ©UØÝ°PLÍS >~$n®`‹Gg.76*¨ŸâµFP\|ß«2¼ Ž…=øð§·f_Hß6Îb9ÔÑÜöQá5P¥¥BÉico‰øYéUF³ùñ$žíÇ€këao‘ÃÊÕ³[álŠ"²mJ§ò;ïÚÙ¢©+íÎv}!µç?¼„Tƒ€äÇ¡4‰»py‹X‡b᳇Áè°ì¶ŸøŒxcÓWu:CàÍÛÉ:ŽVÁ‡"‘æß3©…6ÅŠ‡ í4Ùr ðߨºÞ¯2´k%_µ!ñؼ‡ûŠŒ\EÆ`Üïjs³@¨ÕB{’’;Køí‰Ü}:æy»«]ô02oà»vlJ¢N,7´,ö¨îÎÑÉÖù¨ÜGŒtÆ„rtí‚Ïã&9‚’“ݽ?¸tÏŒ¿:ÿ(ÅþP£ €¬Dœ¸°î½ë6›˜Uãï÷¥ÍI[á5² ä¸Q_tš/Uˆ Û·ˆaËá°D釯ƒÉ†âDª…ê½ÂÁYt%æÎ|—k;–„n8f=aùl2ÙÚ.F´ö³¤•ÙuߤÝcœO¬ÿé6ÄóJíÊ€X¾Ã—}Áj‰#zÊ.äŒòUÔXiòå­´ƒÔÜw$üƒË³‘ä©)ðôú©¯*’ }×U.šN+¾s¬¾>šiCªžë€FAž¥ˆ²T­tMUœóOÞLý`GÚdøƒ80ܨ+†|ˆ®‚Tz’%”›‹àÄq 7ëÌl1g;Ü­¡3ÚóÙ{f»Õ`S-)Âùª5jï%À_’nµÎXõz“xeAŠ~öäð®éiyä+/²**skÊŸè÷WÙr¼bñŠ æq> eŽè]p—k:z|_K>¢TuÀ ë^k´§“e>’ë̃4ßÚ¾5–Ìc¯Õÿê3“”PTQAI˜È•¨hß‘¦SõÃþÌétèzhY㫉2Ÿ¦X­7®~*CŒ`©½^m[sI+\žšO­nw¼»ï3l) Ç]ï!´#~Xþudù-YsD$عÓÙX÷ÉaÿZ­O*Iíù’™#Ò¤Á®\•3²88B£c¥¼ùÀáÅÕ`B"#o1‡ÏOXÁÆìÑŸL>•aw0 áÕÍà˜G2÷­ªëÀ/ORl$kÓ–/SÖZ)d©$bŽ7¡!79ì_ uíë5Vž¨+Ç2A»4ã:xœ¨q«ÉÀ”òK)_åø‰,µ‰X”­èr•=EÑñz~ú1ç¿w|¥¡Ï bôÙ%Bç/&.j†z©´T &ðíXa¦.ñYO§»à—?mù‚Ïú{¼6“´ÜÔhIHî€8`u„©÷gŒƒìòdäñõúh|V ä'`ÍÛÀÒ«¶îm‡ }Τ¨)¬(ÛPÂõ ‘ÕNÌ­ò¤"ôýUKÕo?}Ãû'.ëïȇR* Ë|¥¾ò/ÝíŒx¶ÔQ9Új¹“ÆÐ&9nk ŠêÙ×µo™²˜ê;Fâ=#!›Ñ³‰,ùùåœBÙx/ßÓa¢´µ÷ʺw}ÚÍ("ž/0¹­e´«ìs›äRX%ž£Ö2˜Ô|Së<âëÒ¨ ò9cf þ ¥Iª²Í|¬Gøìý·s 6“mMQ”!!¤Wù&<GxwñE) Q„}qÔö]€B•¹òlÿ·Kª§‰êœ›ZS]GcÉiú5rÚüÈYùÕf¾ ‘riÙοúl>MI1ýuÎÜêYŠ”Õ*ÿ|Üè1]QâºÉ pvÍ à¬Ü®÷FøqfêvlÜ]µá›êÅûÜ—-7¤ßv—8Òo]·ˆBi¾;²()ð÷^gG]4¢àEzœž©¡Ÿ<ëdLŽ@}I¥j›{§UÜ=_p-^÷ ÷çt]ÿÖaRÄ}§©Ï3å…/•R,Œó@ªK–Pñ’@ŠxŒ{BÙÁJ˜Hªèg â6§[w9˜v5¿ž¹èÏ;y“Ú“®2~Ëz»mØ¥·áp ÍØ›–INBâc5£ÛBà«üÖ.ÿ§°I$røº ¹(&â*u±´V¶»}ÂïXh8ÕÝa´(˜z#:Ü6\97ë$ÓÏ+æ[ìX–8×Ú®F7•¶µwo{¯Å~ ° :îÛvw7“ºÅž± û1Û`Ôps^Lߟ‘î_T!G:`p8o£lùìŸnT ?r™±ž½¾ËÉàqÛÊEïÑ]¢ªZŽjEu %ùZ¶îaš+˜í-ºÛEø‡ü1v¥[CiSŠÍ¸íEí;&÷)€T]jUöa)žÀiOZŠ›ñRuhH)t¦8€hòIêøËüiW¿eÀÅM!êó©ñ5ÒèÅ|é-÷þuÓ(š.¶SP¸»_IEÊ**:øF:¹6Æ‚|׉¾Îy)®8‚ÚÈÈ_É¿Q¥'ëM÷â/ïÊ++î9ÔГø[pƒa%– CG¥ uÖó®¹C ÔìUÛDgÓ/YýHzËû2áŽgXѽ( ¿¯õ|<åìM÷n—ûäK÷ñá?÷~æ³#8@+›^RÃî­¬„@9³Gìe 8ž !Þ––©NË8¼,‡~œŠZbá§y‹ýs8ô|lFXM,9qc'R¶Aâ%òMÉK†ƒÓã7œÆì’-7ÛA¥\b•üº3øh¿mFàp\û£qbžàS÷Ðï]Óï !J—¶þÐ$Q†¿“î0ô=ÔYò¬™ I ^q-Z¶¾NEƒïÒ@b:âJR¨ÛßUšðTS'Ìpâ">Ï…wã¾Þà`ÉÌõå2m9RP ºÈn™œÏ^¿˜XZüiŒîVö³åठ“U+½&Óž7oqÌ“~j¦T®LÍÖl4„¬!Y~ƒ² b—8µÁ´ˆž ©¬Æèíq©‹DˆAbÃ5ma'jBFP‚ü…“”g‰ÇDA‰@*ÓÁ^Fg¼oTéBëêŽùBÙ˜µÖé¹ÄHdf†CJÜG'híDú·Ÿš×¸–59êêw¶²­àÄ®ÏxÀJY:Ø;›çI‡dó=pˤ’c¡ßú‚FÉÏ“­¦Ô,o*´…ãÙdU3ˆ¸ 6ß ãµØ÷iM¶ô]àLñ·%ßEhgÍKÕë‹» ‹Ä…¼\vx”p¤ZñPê{4G»Zª‡åLézHžŠç«4V +®ýóa (ÕE7Úµì P4'kÚšÈ÷”ªJÔÈZ(etã^æû|ÑÎqáèW±©‰²í$í¹‹×¶U÷IEv¹”˜8Ëtk·8ïðl¢’|0‡Y^íI‹¤ŒèÝ>ð¢&ø"–~”È™(1³ô­êx¯QKØÀ` cR÷&å—O(/•è[‘[Baön×U”*[R“­œ¿åXñ§ÑÐàWáŠóµ 1×—7#íÅ×#U{8ú Kj—(pŒ½©ÆÛã%,+:m3½39öST‡Y2aÝ9ëyOUÚ»M#{Cí;oجOöv¦SB@.G¹o€¡2Wwèò’„O¾HE÷[¿3˜?ÝR‰l°}ÕÖ™Œ°~ȉCU©Ü¢æ°ûÝ]×70^ˆ­±)oOsæ5Nåz'_²rÁ©Á<®éìBý£J&fO4Jg,øÛ<µ‚ó}o=<[´˜D#Kú,^BòQd³95|Ɔ–:Jv÷Â4Ì ”hº Ö€ö{-¬!,Ô%·îùœÁO&À ð\$ùæÂIëå2™ü?ÐLö¬ú ÷{Úvµ(dpøø ˈ-;P \óà .ó|ÕñP/ Óät˜«­à¤—»àL‘'tÃÞ‘½»&œ†±ä¥7éÒ*õ$3Ê»QLœ)ÎX°Ó”®ŠÁÎÿÞ•ýG5ŠùÕÖDÌ N‚Œé\‰i! vŸmùF»sd¦ˆÇ;2ôìMG~¥ôÉr8¨ûšû<æñÓÅQ Á(Z÷ò1y†{Sá6ñxdã¸ÝÕßoÇFƒ¿7 h ëfXë'ÁÞì2x"ŸV1¯lop|š1Ê}zÿ¬ÔSèÞÊŽé×JyaKi|›‰ñyqγ/1ý;íN‰(c[J0}dëG¬™‘ ºÃ–èÊp´+¶Rr —‚§zBu­·QçÇgnn!ݧæPJCòû΂sÓWëþBáãË̲ö­ßc”X›1$ßô?±“39ä¼÷òk"Êù̦Ð3$¦$‰þf{é ÊkïýÙ$}¿ø¡§„žøÙÞ»÷9ìËk~ü#“UÏ)?ÁŠé/Ÿ×7[ž„ÿÈÚ¸#¦CGº¹øXìR™\â¡~ü*½¢>üñÛ,·Õ°5íŠÍS©–®yʱ¾ÒV‡/˜ŽMEƧ½Ü¹y(X¬ë5níßææ›bª ÀË$üò€y§¯ƒT¯Ïéœ l™íAuºXw/ù/µ+o¿ÉËn<-ËP‘W©‹€äÑÙG÷k˜ú¤´úÙÆõ®ÜâÁ‰€·6ÌÄA¢ J=_0BDw«¬÷†œ/l™º„ÝØ1§11,e2 ’o•ÉÆj£>%»6¡f‚;îYfž” QçU]®Ñ1}`IÌNÖËqÞפOà E9¨t\Ê%ZëÞíJ—ÙWhH —Yµ1ꄆŽM+åå0Û‰ Lþ~³þGÛê^æÉ'd‡Ïîõ<–ø˜ÑËï²Ô/…Ž{®†¦ÒïM¡4‡+©›âOì’£ÖØmsͺ÷#½8\º:zú;3#ô“±í‰5VÊÅS˜éjgŸ PÎ,ˆ<÷Mr¿s­§jéŒyõp<Ÿ5³ò >Áê,@ÎÄszÿÔtå<2!¯ÔGJ;ý\âŽïøOR…|t“{×:{³™B4)H&÷Ë”QÇáÁƒ Ï Œ3ó˜ Ô³¨“0U‹›N{*y9«A •æl#XƒË#¶A„‰„\Ô¹(6s~kŒä’Äͼ:?¯OÎIî¶5O)w/P³4~bUŽº”+T1¡ƒZ´äúÛ±½;å™!!ìÁx,‘µã¾y©]À/¡ûàÛ ,CÙ”_Lë«ÚTY(¬‰›2"+O³jxnÓG.O<î ëpjw˜BU‡èÍ ÌkËúHûRÄ•¸Ì¨ÜIŠù–µúÈŽ1.'$˜]hßó\´ÿ&nŸrœ`pSöMÌÜØت{^{÷õxÖÌÝ.^Ĩ«ž@©pÛëïŽûpüäÙ÷›t´Oyø\ÚPK©ÍsòõJ]û¡ùôÅOÔ+f]“ݤR2Ú)\ý'¹ Ÿî¶ÉZÍoǶ?¹ûúÈpÿ8;ƒtƒ.£Ç¢½Ø, !Ãã¡ûˆæÖþ1ë­’÷åž×½ABæ˜Ø“ŸßL|JÞuêD¾§ŒÂÎM>iZ™ûLs[ˆ@òÂlÌϪS3~ˆI_v%4º —Û3å#›´Ð‰ìqHÙ”O$þ‚·4Vö=w@`f²üÀË#‡ÇTyÔ‚KÁRe+dËSú/©J¤Îj. 7ÔI_QóK¥ŒYð^ÆåŒòh\ -Í_ýxÉ%‚yþâcYÄwŒõ™Kí3ÝOŸiŽ·^¹,2ÜB¾{iÆgY4²s Ýt¨b“y<åÚôöãÃ^§ÃfÓRI“Ò[£G€öÏWN{·è‹?Y­É¿Òõ‹zó:—èA[ªEÊ« ¨5Û§süa2_qÊÃ8ïê—.t¢w |½<q¶áŸÈ}l Üp&¹³ o„` Wï|£T­KUx÷Ÿ¶ ¸s± jI¤«¹àóP5AfÏê×:åùÇKõ2|Í% K<IÓ³2 øüû=Ô"Šùðq2¼nš½Ð‘:Ö }QBØVöu:â¦jƒÊÄ刄;wn·™ÝŠÕ¼UtÁ¶h\Z«ú»Dóx?ö_—ö³Ñ%[Jø;§ü×fu1(ªñ÷ÕéxP|§²èð€è.}W·׺fÕzŸä»“uÛLJ¦õïôƒ’·"tRO+v£ÿwmÅr endstream endobj 201 0 obj << /Type /FontDescriptor /FontName /VPWRDP+CMR7 /Flags 4 /FontBBox [-27 -250 1122 750] /Ascent 694 /CapHeight 683 /Descent -194 /ItalicAngle 0 /StemV 79 /XHeight 431 /CharSet (/eight/five/four/one/seven/six/three/two) /FontFile 200 0 R >> endobj 202 0 obj << /Length1 2169 /Length2 12921 /Length3 0 /Length 14228 /Filter /FlateDecode >> stream xÚ·uTÛë.ŒC±–âÜ!¸w(îZ,ÁÝÝ]‹[qhq§@q+înÅJq‡›î}Îî>÷ûþ¸+k%yfæwž±_BE¦¤Ê$²3KÚÙ:3±2ùbòªrjj¬@ÈÎ ²!SQ©Y8[ƒÿh©4ÀŽNv¶|ÿ²s9CdâFÎSy;[€¬‹5€•ÀÊÅÇÊÍØ€@ÞÿÚ9òÄ\-@yf€¬-Ø ™JÌÎÞÃÑÂÌÜrÓ¿hM謼¼ÜŒˆØ€-LŒlòFÎæ`È&FÖU; °³Çÿ¸ å7wv¶çcaqssc6²qb¶s4¤c¸Y8›TÀN`GW0ð›6@ÁÈü9fd*€š¹…Óß*U;Sg7#G0"°¶0Û:A¹Ø‚ÀŽÈýU9€¢=Øöoc¹¿ ÿI€•™õwÿ9ýÛ‘…í_‡LLìlìl=,lͦÖ`€¢¤³³»3#ÀÈôÛÐÈÚÉrÞÈÕÈÂÚÈbðWðFIe€„ã:™8ZØ;;1;YXÿfÉòÛ $Ѷ 1;°­³òïøÄ-Á&Ì{°üSb+[;7[¯?ØÔÂdú› ÈÅžEÝÖÂÁ,#þ+ˆùÌ ì à<‚`ws–ß—¨y؃ÿR²þCxøxÙÛÙL!TÀ>¦`Ȳ—“‘+àìèöñú·â2++daâ 0›YØ"ÿñƒMÿÆ.p´pè!MÈ þ~ýóMÒg ;[k?æšEDRFQK‚áÒÿ¨EEíÜ^Ll@;;€‹•ÀÅËðù_Gÿ¤à¿ôÿ’*Yü'¼9”±5µðþÍ’¾ÿ2qýO{Ðþgzèÿ{ƒ‚¤­ÁÚ?S äš@ÞXÿŸgá¯#ÿ#ðÛËÿÃüß1IºX[ÿeAû_“ÿ…‘…µÇl íâ y;ȨØþߦšà¿g[ ²p±ù¿µ2ÎFa±5ƒ4</3×ßb 'I w0HÉÂÙÄü¯æùo9 7X[Ø‚•ìœ,~/ ë‹ò2&V%ã)Ú_*0dÀþ÷V [;ÐïIdãä9:y !­ÆÆÉ ðb…Œ,ìþW—X˜míœ!G†>S;Gäߥåâ°ˆþýx,â/€EâÄÍ `‘úƒØ,2Ä‹ÜÄ `‘ÿñ,J€Eå‚xQýƒ8,j'€EýÄ ñiôAâ4þƒ >L¬œ¬œÌÿH!Ñ›üƒ8 ¾!kËæßÙfýÙ!@vÖÖFŽÿ²€PÿIÇoäàéÕ?›Mÿœ¿‘Ë¿@ø™ýqÑ›ý~Š€ÿm ìOÐÒæöæÕüÇ"³ø„dÂê_’Š?qA8Yÿî—?zHlþ@ÈÞ`ù—oÈ®b±û„Dhÿ'ˆ­=ä!bk 6uþ#eýôïÿG ÉŸ=d°íþ•R5;g0Èø_9c…HÿÅŸÂîO¸rÿ[FVVˆã?×@æ€ÅÙíß!CN¸ü):ÄÛ_9';Ç?¥c…ìF÷A¿àÿ “‰‹#„—ó_{2iÿÅ=ãÀ`w° òâœÉ»`ËÚàÖÛjB7¦1ö.õëRäkè-f˜n<«BŽ¼+žä,q¥asÁJ]XyXèЄ1ÜnV¼¢m̈o1CÞÂHG3×ñ+ð¡þB¢8öÄGã¥æˆy|—>%+»Ö¦}«j‡íG|«³·ï ˆ@HRVPñJqŽŽç>𧢴µ¯2ÂÌ`»8Ð20,E¶ãëä¬Ê×ãÌŠ¶·†³s½¢hœ~3¡RÈε¿Œ µK¸ùÚG;ØîÍÛÞ ·Cw2EæÒì]0 Þ,ÊÁ&øRP 8r+ã´D\º“>‹KÎŒ²}»’‰QÔ·wŸ¡æ›CM³|eêpTd.ý3Ö3›»ähПkZšö4çíT‡ÅÔˆ!Å\ŽB?Nhž e˜Ø‚fä¸ÙtˆHsã1þõ‹uüŽ$WüƒzüWÚ³IýÎëèÈþj²e{'`FxGXEñ®iÃ÷FºD'Þ ´Ãûï7æ°|%$ÕtyZY›Ü“¶h fùLz§\õu~u•ïVz„ÖËO²2Ä—hyOÖû‘¸Ž³ëŠTà?·P $¼ÑŸX€ÞßÉ'¹?›–¥Wt¡¿Á¶ØoØìQc=:9Eí›–†öiÖé‚z)¡õh…¬D1I-GfÚ½›‚-ÓP›,èbé€VŸ"Þh¥òŽµK–€³×1é‹nkGÌ8Þ4ñ'ËÐE’U°§yã8åHhè Ìxðˆ»S˜h‡jÞdÕåîz©ßëIÛ‚˜è‹Èhˆ–ýëwÞð¾éBGTâC&˜èp Gsaa^ŠÊŠ»!›hN•ŠyÄÛNÌá )ùs®©-¾=ÝÚ•É«]šuóáÒBÞŽÄR´©ëol_™€×¸ü¤„~W)£h'üƤSýŠEzf€Ÿ O•4cíÔ/G™ÖÞžÁ|>å&#)¦ ¿úÊôvgÝÓ Ó…ó´•ÜŒƒÀþ]‚z¡c¿Éuí…ßNj%Â/XN¼W•ÇP,R}É|::4j÷Êúbòlè¹^ŸR‹à3?qÛ[ä},uF¢ý†Ž`Õ$B@B'ÏŒ®ÛU§¢ýašÚrͽòí~ÊÃŒ‚Ø ¶ëVkˆ®¨Ó—ÞÀùžFÆÖ—Wñù«/ ÈΩØijGþÉ\=×ä½I.Of‘ ÙxébP tL„&^›k-1~(XÌàØD¬QvWP”Yoqº/ëSÖÃ(hh÷, êÕ:Á$Að|¬³.†mŸŠ®SîoOb¶ˆû‚’®pºûÕòäKÉË…B[s+Ñ'¡¯Ï¥]œHŸÃ£(ÒXò õLÛlFÌ£ÐuG§A«ó¶¯GÂ1/jëêÕ€1Á¼Œô'!¤„²JFö§þ©KùHx0NTZŒ¦‰þG×ÊÁç“×П ì;˜Ïö¬6T²=ãºØÒY}ODGµ/·k#ë”_'±a”?Æ^ìƒdX_ÇîG›¹éÀ,*‰(7룈¤ j°›¶¤Wô'RÜJrÇ|Y3’¡Ró{Ýõî\' ×DJŽUó’üCþ|ÄkVŠC½×Bop£Á$´íö?ÚÏ—´úðyŸ×n¿×o¤)®´¤qÇOÿDÉT°ÄA‡4<©}sÄì)BO0‹“ã÷ñûý‚«‰Ö~ÜÒ[ õØqfW5ÝÎÝÓÒ˜u¥ü³5Ú‚%3R¡¥§âÍUsYIŽãÚz 8Ô£Tå+Œ,ÑF¾Ìùw’I’燆O„§^yÑ|‡oùÖG‡=ÅRž6ô¯98³ÜytiNªºË~\û=ÀÕP/ºz[Û·…'ày(.§øvexb$·¹Š£?›XJ’Ò³ ×Þ­¤#I>êêÒèì;|øú‘–õ-•ñç§Qñ”šC1rWaå·WŸ¯WÒh†dÈ€v†|»ˆgÔ ˆ*ÊbåÒ;nÉkä,¸y¥jº&P­o@ñj&Ѧ±þa$9žÌeÙù2Â2p&kÛ ZŠ8j¤ÚØœH[7ƒäžÅ^—ó&q0Ÿ|©ø¹oR(ÒEÉ;™£ï¿*ÑÖBPzÔŠ“SÐØŠn>ÍÅO<äk´ tµ4Áo¼{„éóƱa‹¤"гMW•¤ÙÓäøÈÙ¢dBƒw •CrOðI.btû€y¹Ê׋ªbQûËy8Î@ rÇÙr/!w`ÿi %xá9 òñDA,‚vÚ¦pún ª;£èypZ8i“9Ù¥+jQóˆ¬VÈ\ÛÔ‡mP$´ã–y'ÝNz !ÿ‰;ºé"›ªþtö»¨õ.sj×,C#G;Ü(5毗6×ol³üÈ DËÆÚF¿æ¬ÛÆÑäp}ô%R½“ G¼Ó2$›Õ”†?°ÍѧOìN¿Ékµ§Â®6.7zÆûNISçêþ¤rÇŽVňÏc þ¦qÛV¸è>ûèb+Jz^ë1i¿îÞ%ÃIÎôÙXÉ£Kà€¾Ð^Å8vá=솧¼¢±ž &ºaxMЊ ÐÙH¬Yufˆ‘rª*Ó<,£’)ö§CN¬š¶à¸_ßÍÚ¡{ˆ.”W>æéóAîýèŠö¤º7鉦2ï}-ŸzÄy—iQ€ ÚaSÈEvj êœF¥ÝJ„âùg¶$3h²»¯ÔÞ QîwÃã]‘ÈØu²_ò¯xÊ#€…³K ½ŽgÊú»Z ž“žŸò 'ðÒHûè³GÛ?eÅ^’'­I‹ T²uìóª3.Hmt*–!¨œ} â]ÙOÀll¥øìwNæôM*×[¸öÈÂê$P±x(±ñõuÞ-Œbÿa’üDÓÕˆ:˜O‘ ÙBÑš\™ìÓŠcòNä{ÁŒA%p¶c!1xèŒúxªäøû ¥o:Æ™Ùëi`. l¼>ön>Å0\z÷Õ QTp:t΢{9~ªöÅçI/îø©ò›FòÛÆ£#Š¡,,¹òK¹¬«fjc„ÇÂ÷õðn¡ºôòÍw³+,ÎÍu¾hÕ«ÇvLýûøËÛúªÎŒ ö…+®[b3É\eÍ̆.×Ì×}²5·d³ˆ ß©Ž³ßõ|Õ£Elô%„ùL—ë‰ncÏüŠÛózch˳=Nr?`óf„%‘:î¢Ûü†#½$è^²§ŽÒÉÁÜà­ÃI©khÁûD*dÍŒ²?å…‹™%=Û‘¬‚~‡r:Lsì;Á”u…lãgômû!AÚ€c´¬ ¶¿–Ñ|pØ]Âç%J×üƒžqYaGJ³dÒå*áÇíÁqŽ²ˆRdhKŽ%ÛeJéÆ%*lWʺš²^qf/æEήêb°†²àYÞ”)Ù¾f(ؼŸZPÖ2‘wFIÍ…Š7#dãfçFÖd‡Iší í}9F»=M H”¥‹rD$MqèôX  µÍ¡’.ä'vJrû¤PÄ¿âkÞ:Ï3sþ" lÑž>à¢SgZƒ½™hgIiÔéÀP /P<–µVü€ï|Æ ×§f0|6¾þâL܉‚Ú[dòþÃG¾RÉÃã¢èm^Ëa¥h~½(ã :8®†µÏ¡“IŸ’5º ²=` IÞ³'ë¼é_½¸È"4E“7I€~„BYÓ#™NUëÅÞŽÀÔ ­T¥§æûÌH÷‹·”I“„%Da%o1¿+öqîgY[ñÄøã$íJþJÕ>Ö^Û3ÈdÑËèý.¨•ûl½Žáí•æ ëçî7Ûâa¾Ðî{XÁpÆÅH«é7`oçÛü¾D¡ÉóÄü¤Žu„!Wª™îE¨æÚŽ4Š?Ÿq”IÛŒˆŸÆ?=ì{­Ow|{$LCœ¢#z[ l,Á(ƒ ÇÊîmÿ‰‘cKH­ü>´nxãè…p0zÖkUøªÒñ}7@}ÀÈ‚åIx–”t按ˆt‚‰D±û”¯'j1ZÊêE+9TÜ{較 tÍ—Nl ü…vh‡+³y 6·õ.$è–ïX\¸ðÜõ¡ãÛÓk¼ýpTð¥B.sdlô$ZÃìåLðÕ·*4=8ï­(.oP®ØŠÂ4³Õgu®lÔŽ(²|é1|t?5Ùÿ˜è½1ÇÕ/4&~g ÉÅíÝoTRZÖ@ j7•`àᘟ1 ¢ @?¾XÀ EúqÕ--$ÊŒÏ÷î­¨RN'“Sí’¦(%•¦>éœC-{X£ƒÚ›M‡óSÏJØ4ÚÖ}~*z,Ĩòù9¬’~¹À cÂœ# …fxËg¹•jô§m²SP5$ÉÕp \0«La‰xõªÙ`¼î2 ec `ÿ.Ö×ÙŠ—†=çCª±,=[róuu~DcñªÅñìíèêEcAÂu£Ý·[‹¥ñýªF,nö̵¶²Y®HíŸ_¡wØÙÁDð½m¡$e DëæºE£Ø¯zظV›~$ÉÍÁh›ÜE3_–1é±6Φ7¿¸¥­Óq #¸Ä/1=âëª<åÆvŸË¾¨ÝÓýñ½ F`[Ä“ñs7Í”°¦ˬydà_Ðú+ œKyü'h‚F†î:5įöœ‹;Soý<&V²/Ò ¤oP¸V Ÿle:5z‹hãØ'WëT4 m5wð—\ž^‹Eº\A‘m‘.-"óÓ®—J›¢Î¯½«2_KÖź¬ïøªÄ¦4 C7+ŸØqÏÛ\´.ÃÄÌ9ÙáÒ&¬uÀ¬P{ÌBí¾ÙÊõÒ£×:ãu¸SbèÃv;¤p™'Öû´à1ŠmSõB?G®ŸwÔ¥Á" Ïþ&HÈiäIÿ^¼Ž‡R Ÿ ªßñ¥®.ÏÔaVqï-¶ÄG=x.E,§ö„ãõÅ!/=‡_3c ŽbL:5®Ù<ûèg‰ „ò×0®ïcnm„.D¬]ÒK×ÊHjbhå•Û¡ÛÙ|p›ÎSó¯Âè™db´‹‘Ò­àÊý áv(V Îû{š_ªèñˆfçƒÒ˜Ä&צ¥FÒÕ)àÆàÂOÞ‚x›êâø{ …u6²Ñ";´£ðkwŸ¹Sîò¡2ÙÛNB&YHE#?ÁÕá¾UÚîr~ç<Ñã«dïÄ™=AFÜãlBu7Ü× ò¥&$2ñøÙÌ»Z/¥Îcî‹kåê¢ZضÅÒ…ãm˜*\ïâÐ'0£p,"Ï hüØx­n­–,Fæ6g‡ƒ']»S}Ðåù£'›5%"&•$L®â¹N,ŽÛÑŨØPëéÚ9vÒ‰ÇNúd3&`&8zÈðjì×®G‚\)àØÏŽ"–_éÍÏø^8–“3ý‹*'?Z– pQ\ßöOD¯º(ë*±³k+ÃKL˜Þ([é¹ 6–ðKgô aœ¬Æ›u³ÓÉ.RÔ¥ÁêW¿×„ÊÇGkì4Ó‰Üa¾§mKFù¸°{öò?ß|ZÀ ÄÕ‚qþ¨ZˆRñùj@„në‹Ú÷qâwñ°n(e±UdìZ=z Z,í]É»Ka¼^<’¹>÷}+q«ÜT¨¬œ#\¿lÊ:¨dC~]–)ïŽ d¹ýR†ö_«dÚëÀÄ‹@lw6änðuç¡{¢>¦àäBÃá5“”“»a¯‹0¶VÉÔ\.ilI¬&a‰%ÍRo¥B”åEQìÚŸLw„¨_}N¾½“|'§/åWÁª¤Oz>7‚fiCunõª @³È2’#ª ’O:ðù¶XQ#ÁÐR…Ò6…6û%Ü£ƒ&ï;€Š‹*E W§e”3…}96q2-ì²Ý£Z×^Ôy_± #Öi È)oµÕ¾7g.ÒÖv5÷<Šg=«RîHü¢k<)±U–}ZСћõ¥BÚؤ˜2碡òV®åmky)òµ}úˆÁèïÊVy ¤Á9â¯(Œr(c î:‚Íž4·‘šZ'ð oån'ÍE•©¨@Èv¹„¹)"ÛYzg붮|ZuK–”ƒ¡e)_³1fÅÍl僀|xVâÂp¥Ö;ø;¨‡j —A‚Yš„_S-‡1&WwœÍQQólËmäeÓÁ×õ”àš?#G‘°æ6Pº°¥¦˜É7óÔï(³P½ú‚bµ@ ¡›¹H¨—kCc;Ê‚U‚ß•ñx ‡Ñù1ô¦ÁË¡Ç&ôúísðCOq¯x´àСædäŸOKí’Ù%4âàÀæÆQíaJV¶Ï[Á.·¯Â?¨ |R‡gdz+Î纶 ™•z»] >·Ö×í›_×rx¼~ÿ¾q:ôN >¸ '¥«Q d]:_\ÀËsûdOipÿ–kÚØSá@J® šõÊÖœ¢¯Šjv¨¸0$„Óv6¨}˜V´‘ŸgjŠ¶J¥añkÕ„¦ HRºuW^Ü8ø­ªÙäçgÀ0ßïž2Ê…òœM”»eJíù@ü¸½b\ƒ +÷š‘—|ïã™nçú*£â=ƒ;lÓIÀÔ+´\l°bžr øG L:%ûÑΣ) ÝwÂ¥±«FöJÅô½afŽ±]'&×äù®(.‹ŸîÏ€öñkíÕîõ–5;75p@‘‰¤Äí,YjºET¡÷çNî[)´™<óE7U¶]67xÛUÄšÝ+°JØ}Kq‹eµ®¶;ûx×Y; O¬úúàPæ›äQ=¯.º_?’í62Ž¶}…s¯pZð/•ÉeÑIÿÞè´l¿·/gyʾVJßñ¢#TœÂ¾£˜ÜË c&ÎÌ~žåíÂ`}}"™~*y?k û&†çe4K‹ÉÞ|ѳnlÉØÆí}+2Ÿkñ©Ò2ÞZv‰ž™ì2$RMÓçÉÛÇ…»Òb-»H·ƒzÕ*8$Ç:!cí‘…(ÇÄ¿ºyb0éÆÈ逥xOÜ4~a™­œžO¥æ>Ôër‰` Ÿã¢†äK=½›BUæÖ’O7n™†]«xn{Í)ˆb­ó:Òf‚UÄŽÛ°†ßÞòÆÞø³aÎç/QL×(„æéÊf/ÊÅ•N>äŠþë]½¦´…žîqû¾3ñ_DzÈìä‡Æj¥<¥pB €Ý~P$3ï],Îô`ãXê煮õYùŸuÜ aÌJ¥í˹)ð±>éº@ÛÐS #ÛÉa@uý(mߺ!ÄHÄR*Tÿ£B?Ä_ÒZx+ÿKªš†]iÁ¶ðû/½p k4F耜·õ$ W:Q#Æ'W<Ñ—+‹cr˜Æ½õypfßU†ÁA÷rv ab# è š'¬@ÚS‡J¸n0~ lcB¡¨fÖ™Dí4zÊRFß×Ñtc…<Äç²+^åQ|Úêå¼w¶Q‘qÛTfÚ©K@¬Šc  9k˜¿XÝg:ØÎÄaKxf†DÔŽ—‚ÖɆãòßÝpVÍ-Ê4?€õ`mÛ©“ SÔDÞÆboÏœ¤ëVmB­05Ñ®³†›(<½ôö/[­.öðãqõ<ð¼ëa¿|‰Õþ)³ëÃÂë,+KƒKS}O*Èôa‹ÑA«ú•LªÀ‰_;Œe‡â³ó0…õ¨.›ö©Js#ãÎò‡Ù´²lüK ”®?nË4×Í9–-»­¨Êo0‰ržxBeÒ xißÀ&¼àD};¢FÀî ÛÂzô'vKܸ¹°Fð’TÃMs|Lgë7¦*äin­É©Ê]ƒtÑŒœwGp»Þpuít†éЇ·7b©åìxosÌAÙvt‹lÕ‰œHÁºÃŽjѦaó¨ÏÿÍè'~öó¶:­3‰M¸mqŽùëU|Žà¦]J„ ©°yÓ!D¸Qa#?êj‰ôó@ÉV¡ÙMêz×l”ùHÐËÄôV\ÝaÞEg$ºö×^³[„Œc#Š­¨UòŒxh§O_›±ƒ¾ƒî Öüå&ÆÈÊv*¿Ü¾®a»ya8ÜÖb)p9 —>L32nøõãîè­Ë‰^žg]ûÌä§i4ýäBýE«­®n¶»š>ÅÎv1o&À"ÑGãqÒrxAÖ÷ND 'Á½I™ŸìŽ'q£çQëm6è„‹Ÿhà)ég‹/3’έ´ÚmW•ËòGŽ—Ö.2_èlBÓ“`Çû}RuªOn±˜¾nnÜΡ~¯¸‘x5$SöÚÍÌò—3 ÕL±íƒM³ E{Ä–‘¾Ä[™#É,jo}ïãT^ûìºvÉ©KÕéÎŒ’î_ÔdrÙ¡4H½J^[vûV¿ó#pJ+fN—Æ”¡K¡7Ø¢k•VŸ’7CÑ{9ú¾¹Ã™Loó§l¶m`D—ÃDßî÷9d6_­gG^2±tgcêÎIÃ5à _]`Û¦®L£†fe™%·Öö–À!úQ÷J_žï‰*6S!³ ~Ò¡”m²µâˆ‘9DlÖ…øyâì_­!+°¿ûí£u‚ ¹!" ã[Ùc3+ŽÊ²Å¡óc…Ä=kE€»Ç˃¨naÕnN!Uæ¢Sª+ºzÉ:ûØoó7s.úq~:v­RtxFcÒ6‘Çf"tbavÙen0ŒD5óÂêêƒs˹îº'…Ÿ©ºz$Ž¬Øü0„e/K°ù²‰ì¨Ì9@½ˆº¼§w¾*c3ï&ü•{ÏÃ}<KÎg;&ùÙ†Êåa¾ÝÊTî-*ô„w0%HÌM1]qmeÆ´mH{%®« “—Ú˜}Ð{ÔH¨^…ü9=µ/&3Áöw‚yBž,M:0¿F*ï7åþ±¯#QmC5Y$ÃYrÕÝyÊ×­~~ǃ ô ïÿÑ+öÒÁ+ŒT–<Â.ÜßÖS9²Êß\ãêî8ûí{¤#‚õÈšNÑs¢}Yw¤¿Õ£DŽ×F&‚º Þ¯¿Rg'‚ÔÒÍóé>¹Ìü»ÉeãÇh·–Q‘_Òü#}:}b1í—ˆÑ7IAûpHÛ@ã<„Vˆ\kFVGzµ ð¤ŽG¸@Ÿ|ÂßIÈ&2aEÓ²T-©ÉDJL´Ê—Ýý\Ê š‹]r§ÿ‚Ëòü®;¼ylæ§Xä”ÜzØw ²ÍDá‘={–]ªD¦q¸ØÖ”Âì³;dsê­÷?D§Tˆüé¬çCËce?2î“l½½µVg,¼6¾ÊD5o»…諩óo@$_  ¨^|;hØRZk+Tí†ÅuMðÕÁGÉœQw>v éÄwµze$~àóD(Àû …gØJM¦õ˜‹*÷Ð¥üí•íA‘à£@ä ÿUæ|Ì´žÆ?gø÷þ™áêFÍ “™›.%Àðǽ ‹‚æ€G®aÒœ.m´’È›=vÕ§Ûþ¥ ˜qî}Õ1Òåˆsâ’‹yA¦?ß™\Wå!£`Äó׌6u>„!´TñsRŸNÚ9§¼ýàT„ã‚ôçU¾$t¥òb¬p%òÕOo|.t|æ¨K fÿ²ÿt~¾ïÝ’¡ÈÞd6 ;&àÄãß׸Ù2Dg/Ù W÷õP0²Bd÷C%eÙC“;¥÷îJÝJÜWdìÛàˆééûyÈ"‰ˆî.Zwÿx„cDTl•a^w¯¨Ë_Õ³ÈÛù®a¨ˆž;„pù\S«û¾®>]à#`aßõ}A0îozJ«0opw[áŸb•‹)T£Ggš¶fQSÕé"bJ]n¿!C]BÅL€¼È—90U<ñÜÍŠÌ¿mÃOZîÕ%¼éÁ€ #ŽK9¯ L×zþYDŠ3§ÌZ®æRfÏ•ÑNÛˆèâx§ÛtŸ' nlüº±Î˲ǥh¼SRtc›ËïT,µ‘öžÛb¶¿ŽËKSgÓH¥ºÞxT¦¢…àÿ@På„ÆòklÈà•DŒ!¾ÝèᣯMÜàßÌ<{ V¡m#«~.„xÁq³(Ñâš™ÔÄb3Q„Åú{®Ï®Ú¡_fT£æÐuVò¾êü.žÖ0Ë#ÕÒsÜy+åŒ1eÿŠê´ëûˆOñºas."ÁOí/ü4UîÅÐj¦–”¼{ƒn«ø'¦çwoLïÓ+t°UË}4§NžbgýNZc.dƒ¡Ó½\s¥‰^KGy=´<`àÛðE•îuC݈§Õ¥Ö²ù­Í¦ê:¦<ë2]¦ˆ%aã{Ó–üX!ò”¢¦u?]ÐH …–¨"8NÅËUÀfЗ^v$ü…ÄѦ ã *à\Þ-åÁÇz`ËD,0 5Åý‹`çšw3M«¢ÅÏ—z©’Mëƒý2¯e*Ž"û›/Ù`ßæ^`™âÄè^ÉsŽp82’U I…ÊãP:Û·|Höfv Œ+Á¸Š§Ü•É=J$¶‡?9–H(Y!¨dïBô)hÎZQõ>d™3>ËÏ—p”Eñ,‡µ¦§¼ ñCÊ DÁwZžyËf©œ¼D.çÓÄy`¨P^Ð3åKæ­ª½ñkDZ[³i\|ž+«˜Ý>^ë¡W”ÒÆr,ëmk¶çPmµ%ºÖeÕó¯gê^ù˜:‹Í–¢é+¼RÀŽeTñk:MäL¹sä'¢†dsV¢ç{üx»K˜nÑ›z*&J¼òfÑÛhì壻¾áÝ‚® Ö±£È)d²þjNQ£16‡}†Ÿ Ê>á–´4ÌKþç¯ï™^éaÊêvDëŽtú"g´öZ3šË>ø2ˆ¾QÀ`Æ”¡ÀÈC3z§µ@|—õ\¡¾"ÆG™ #ßê–ËmXSûXž ³¥Vû Ž»|K„š†S§ÿ!5F)­¦DO¦6¨CW’Rf×<áè5zòÎ:Η‰d”A0ÛÁùå´ûhÔÏIÞŠÖ¤q)ã&{h¥§O¸/¢_©B^BkÏƸ¥åJŠR§ ®³™š b~YÕ¦K´Ç5ðAÒó«¸L+ÈŠ ´M¬÷ôÎ&å?{|ÕHsßìÊ<¬Ä×ï]Z7éýŒÏ®D ‡ç©°ñ„l¨ŽüèUïî¾pË·¥[(\í¨:Q ð{]€Àa2\ðža™8€®®úçÀf(oΊ½Ó•@\V^ÿ£z^húôàÄ°D“¨BqHÜÕ<<}×L¨œªYˆêK‰½¼š³îöP“•œûj&q¹«ϦZ¨Oìš­ùÑG%ì“ÖÓmÞ³šBÆíLYmMX)ƒ‚£Hj¢AnFªDû¨ës3©#'óÝ.RÿT!^œŒšOî»A<5TŠòèopô–ØTËo ™;%Ò,bìJq¾;¹pØ?êU Ë#¤¼Ú)«r–öŽ4[Pl ÇüÞ¨ Ms¶Òsd.SÞk8f]FèŽâyÖx'\½pYTÇwæ]Õ[’f¦Ù£ITc ò$îï‰ 7yŽeK×@k5‰Æ˵ÒsEÙ*½7O[³ÿý\嶟p6Ž Z±5X’?34œÏÞÙäÍ=]“Ä´äÊŒ{ãæ~%`¸ž”éªÜcU tóÁX’zºãÓ*ƒ nhæÄ©ã‹m/³Qnø%¡ØUÝ[Ý3ê¶O鎡¤ImÜ´òš÷^±=2[†¢±3d¶ë»q^9ëN·ÍH…ìQì± ±N·à^Çá´Ç• ú^yüv©6ü¨X’d;›èÅ<‰üMŒÎ|•v“Þü$õγ2Ÿ 94 ÿ­¯vºÕÖÍîCž—ˆÇ¡»5Ò§`Ô¨Xús.•V"ÚLe´µteûÏz¤ÞØQžcHyv¹1Æ¢taf¥Ý%Jƒ&óQ½šÅ¬¸ ÷y!¯99®‘?´ ¶¿ÅjŒòõf/Ç[£:FÑh„ 3Æìy’‹\£żÒb‘÷]-*°~” H[/ð^q>j ‹üÃDzžžØˆ¹pŸ|H%ìP2z‚’‡ý³Ù§Èï/¼åÂêýš2! Z¸õR¤¥ª‡Ÿý}èžÏ'†Ë Œ Ó©¦>¦j˜í¾«½ìççÂ병û¯ÞÞkÝ°ÈêÝs„ÜJüöU¤ÍÃ}`cævvrk ( ‹g{Z‹Ïˆ™¥^,Ú áÝBªPné;ø¼JÏ›“(uÜþœÅ gô¨•½óüÂ1û¬0ö>®’”Ýè¸ôc«Xn:„äí¹zÄ8¸i¹—§¿Ñ‡™½ð¨]3· ôÏé~e "7Šû(Ý 1?Õ’w}0ÓÝS·èúB÷õ{F- ®ç87 Åð7(Bqíä¥2;o¤œ-üˆ“R¼!©‹m&¶Åaò33rKŒ^7æšìô`1q[ë]Rõ¦Û!Í粒ï¾~Ý ¡Dü„xöaÙCÁà0\F‡ödè´4œ¢Xß3ì¿-oå·2YbÆ´A}õ`Ø­!9«-äõñ~•&¯ßßr‚©;b™ËD딋·ezÀ(IÌc`î•({ði™¦°K¿ÐAŒì~þù» ÛᇠTw ¸©ÃéDæd’G„V›ñ#ÜhxZÂ1dÃ`÷wü3Läùò môè-Vª§t}{åø¢‹¦€D_ ÞÆǾÓî¸DËÆ%¼¼°ç¹{÷šKÕR\7rÛP'ãÁlE—˜~×}²ˆÔ'ïwnÒò«Ä–™v9eg´ÏTNÔŸ¿Œ=k/©b¨àeUPpiåàì}ùúH"(êq)wJ@ˆ—Bf¸ÇVÜæþBZ/hǵo]5 öû…»óÓàÈ{öéeZ’tUá`ä¢j™BM"S9 ‰¤~ëHï‚:jx°ýl2U.6Öý†¥3à*„Ûì¼»£ª‹xÖ,QŸâ2ˆ¸yA º¢•×A\ïÍ-î PT¯fìÔV»õR6 §`ÄÏ´Õðk‚?:ΰjò^ÎI„ Î'O^_$à }²J~õÑœÃOƒx;l©"ÙÜK|¯L¾÷(ØD*KC16ªä5tÜ/ MÎû¥S½ðúçr%¦”¥œµÄ‡Â2­¡K V‚;]±U7í’ÆÕVŒ!™» ½öÎS¤I Ií˜)Þ8QOðü8½ã”«¯å"@sëåáñɱÐè(3à0˘J­ÁýÎ×(5†("ç1o&7'6ÆæÚ‡ë‚Û@¢ªl»Æo§ô-Ò¹V] ×?XÒ‡s&*§6–“fEÂd-1,v ö;4x1¾NV¶H |¹Ô¿íjªq[ ·)u7›ïÊ(ñÔ¿üRí{= ÷k¯àë à5žxkL+#•ôtÏðìIq£·ÑòD…†‡¼n¦dͬìùdê OÝï•úͬúZ vdd•¡kó±—…ñÝ‚P+:Œ)sØ·Ø{ «Îü¹ªéï³”¨Ã7u¢Q_ÞɈ† ¨Nûòˆ+Nä›ÝV¾{¡ }BÄxYJ\(, $Þ÷¼+6»nôŠ[÷Jqa{³P]Yøz4˜hÉY'vú!tþŠ#º µv´ŸUi_ À†×¿/¾ÕUQ¬§¦–2ì© k0åLG[+7è†ý>6+yßÐ1AµÇ³p­Æ-eÂ~ 7äç@¨Wcç6Ñb[ )ºši¦ó*WÌ3 »-ª)]a²BYgD¥ç¥‚´R½æíÑV<;Î’VÞ,5¾ïTË'? ý)£•ØCLMZÖÑߧ‰Ng|WíJî`WŠ¼n:¿ÆDJpÍ7…€ÞÞJŸáGáÞÕÓÈ»Ï8×ëÕ„6¿-­pøs{Úi¢„×éKQ/ô£3,×w‡¦N ™—òµ·Ü¼“¦¥M37ûU¥Îa¡§£pØj“¦Ék›ÍÞÃݔߑWó°É, endstream endobj 203 0 obj << /Type /FontDescriptor /FontName /AFIOXE+CMSLTT10 /Flags 4 /FontBBox [-20 -233 617 696] /Ascent 611 /CapHeight 611 /Descent -222 /ItalicAngle -9 /StemV 69 /XHeight 431 /CharSet (/B/D/E/G/I/L/M/P/R/S/T/U/a/b/backslash/c/comma/d/dollar/e/equal/f/four/g/greater/h/hyphen/i/k/l/less/m/n/o/p/parenleft/parenright/period/quotedbl/r/s/slash/t/two/u/underscore/x/y) /FontFile 202 0 R >> endobj 204 0 obj << /Length1 1663 /Length2 8110 /Length3 0 /Length 9172 /Filter /FlateDecode >> stream xÚ·P”ï6L‹´t.Ý°tƒ¤tw/ËKìKIIwI‹tK*¥€4(RÒÝ‚tH ˆïê¯ÿß7ó¾³3»Ïuâ:÷9÷už™e¦×Öã–µ…Û@”à07P ¯¡§Ç<@ ?3³>á ùËŽÃlq÷€ÂaâÿŠw‡€H› ԀêžÎ>Ÿ°8Ÿˆ8àÅþ „»‹@^P[€@ƒxà0ËÃ]}Ý¡öd¿l`vŸ˜˜×ït€¬ Ä Á „ÄY rèÁÁPÂ÷?l’„«8/¯··7ÈŃîn/ÍÎð†"ºˆ»Äð«e€&Èògk<8Ì}¨Ç=¸Âä ÎP0æLñ„ÙBÜÈê=u€–+öG°ú\€?‡àãáû›îÏì_DPØïd wqÁ|¡0{€ÔÐRRçAø ¸ ˜í¯@³™òAA6È€ßG”du d‡öçv‡º"¼þÛŸ[ÃøoM8RÎÛ?ê7 ÁÈ/¾ÿçøòÿ'ý_,ÿWõÿ<ûÙþøÿøA.Pgß?#röD WCŽ\Øÿ†AþØg ˆ-ÔÓå½*rEdaöÎê¡õØjC`‡?Tô×= é¡0ˆ6ÜúëàæÿLJ\:°ò­â¼­ß.r§þ[R†ÛþZ>~!aÈÝä‹D*Œ_HàLJÜR[ˆÏoqxy`p2€l/`wÇùu§ÂÂ^¹_¦?€Wþo$ÊàÕý •÷ðüRãÿøæ…ü …4vpO÷ù‘Töÿ‚H.è¿ ’Ì刔8/ì_É ÿ "ïŠÔÜö_‚ÞãC²{ü "3ÿ‚ÈŽ=ÿE¼^¿á¦ ötwG¾‚~oò þ¿ßwˆŒ37 K„9¾ k»ª“¥ñæÞÆZYkN2é‹B°Ìäû9¨ß{ñdÜMÎÚ¶šr0C{¶"blÚŸ†ãðjÄǼëeðrºrE±oC`àûi—=„ÎNm?*’½ñà(Y‡–ÐÚ ÃŒ5Åhú6\¤[àkÍVñv¯¦b{@é}: "^6·}-Ö„ži ñÉÄœ(ØÝ,ÓS_Å`ôZ,4áR®-Žê»ï†YBÖ§¥¥/ûû2¾ªõÔ WGP‘>U¥Ï|þŠ,ù¥j³ ‹œÐ…|EŠÀÑdJþà'¬ñ}¼ž3œ /ôhô{ïÀÆèÔ{†M©‡ÔßÆaS‹ŠÃ•Ø½¥lxî]­åýs- oÒ IöÌÒ±¶ë—ÛûÇÄM^öó/c*™¢í¿&G`pl 1ÔßúM`á(^%¯,gø¯ ±<%òq$ùÒÑôió+65–|qºü°KgSiXHÆyMèÜ"y;£¯,ÛbF£CåE;MIÙ¨B·:¨¸M²hÀS£}ã8HðÒîÞÃþ‹ˆRáLÚ7ix)nwˆîVøˆM)œ!Ðýöp<ý﹊Óòµ,ƒ›®žÆS§X¾¼VxÇmãC^×8°WôØjãqæÓûöáäË!s˧˜@.¼1ÔÅ6ÝšE†€Õ÷ ¶ ¾Ëk3ÎŽNöòº7Ìk–(ÑVÿû‘ ‚Z¬ÃE¯Êf3©—PÇ"kÙiîĘֳ¿ØïD7ÚCÏò`N^ÏOtÁÜmöŽ85…+>]‚`âÃg“Q˜®‡²©ìÌÖœÁ!|Þ„ÆØo¿:ïÙ¥¾o/ªÓˆ©h`¬†ZÑ”cƒ í®Ç´æòê>:jÍýìeßvð½ç™ÓæV°ÄýNJ°U'ùîuÆàδã¨R¸l&çw×!ÃYŽ£ú.ë÷záÒþ à}òÝ=/üa´˜ nÎvïõ¹ùmÏz²>[3ú€Õ`˜ÆÉ÷””ý$O±6 ”ÒF”ÖÐWÍQŽªå ÛN¯8JlƒÅõœœ=Æs‚ï—v^ߧ…œÆÿ ¡ñú´ Ä²c¸h"Jë˜EØÿÔ[æ¼­hpÔ´xÆŒ H_ÄÐO ¾c~!‘áʯ#k¤æ&r!LÚà˜gG5/£ðòGðÓÄnHәˋÃ0il‰”šˆÌMšbuG•½ »êîƒÖ–åéâ:e“4Y,DÒgšza4 h1õãæ¹OL 3¹ÎŠòEA¡L´Ïœ‹8ê#§c?ŠüÐ_–DŠÚ›¹#¤h6iû{ x=|cBû8¦NûÒ–waÓHe”«a¨·râu ³¼¦ "r 08–ß—äŽ^®:PÖ’éª9j«%Cèb¹*Ü-Ãoæ,m$]]wíøRï­îöYîø20~I!¶æ«¢ûÞ<ªMùg÷ÓÓA:Y¿/R7MAíÞ§HZ‰,Oe¡/pQîÙ /Ôgf•4Á¨F-:ŤµÃ)3sm;jÇ©*äU^Ìpý(4c\C“ ½Z…\“^ç$Ìâ*}a™ êý¼ÜçeMžDímM‹²žJ¾ß”¦¾U²W‹>3¤JáÏO錶‚¹ µ—~”¿N nü5Еn¹^úŒ´Ô­£GÞÓ¹AäÅ õÓÜú>M’³¹‹£@‹³ïAçÎÅëúÉ´uô*Gæ Š{n8›_B?Ü£Y.Ò˱£¥È…¯ÔÂ}è»c9«¸j™G°pww\úÓ4Mˆ /„³ƒÈ#,y¾ •§Äîv_&ÈâF’% :Ì svŽ¿›i÷R§ÒU|»;½\·1VµÐ¼*@£6f/ %é%›Tˆ•¬æ™ÿ¾Mìy«Kªy3É /¹ ×ÊH~ é[ûé›`6¥‘™pw$É=h5Æþñn¢Ç“K’Ÿ©áÏ“KÈÜä ‡!1.ÖîÒ%ç¢4†zCÏNEýDVŽ îsåß·¼¼ò .p¥MÚ/`M8¤4óMòÐÓ~l¸×T¨bæ¡{¸ºšµbkN‡º~Ð-cyô5>*ɃÆTÁä~ÄlÝÎ Sß›OŇ³±ÓøËÍ¢)Žž+îˆJö+ÍíWµX“:ì5_îbe•š®§ Õ”|œ,ëÑïJ®ñ³¶]<§ò|ã‡Rå^k”1aÉÇ)ËÁö™ˆ—}ÕÖgÔ†®\‡Þ `¯­ÅŸ4Y".Ô%§?1`º¹û—Ž×“Ò½ªeö¹I\VF¥ n‘ª:þ!UÃ&ÓñUCÛ˜áÇ[öÙî\á;rzØç }ŽõºžÅyô©·â°C ¡6$Ÿ1!ª,|)ÂG±·éBNøC?bÀå¨YHÙý¶Iõ0öFÐÃø _òÑ2z¾A•EAÛŒŠ€Y5 ± P"šLgi>îáGzTÝ¥Ýô@ªôÐä|sÇ~ :ýˆª¨SY©Êg&ë<MGÁã O†âfƒ¢Íæx襓¿É;稥˙· I0‰Ì™ÎžºQêó L%kH-ˆ°‰ðo œxÃØ($𠪫ê‚ U”âäI›·ív¥»PéàD¥znê”`ê`­ÙëÕÆU3N ¬©MÿÏÒG[ñÊ6U{àþM/U^, ¾(ÝþA"Ág–\ã¡ nQJŸr'ð¥£{váxÌL¨WÊ¡Ì>2Îuà‘ ­Qýæ\3AŒ8š{¦M$oHMÿœ:uŸ§éä±îý]ÑGH& 8Ç  ¦’!äãkX¨ˆ:`s:žíöaáÂ<ýž»ÙS†¹C&¼wh›òŽX±ž³u{ ÑÀÑ8Ë¿ïóu¿/ZS™åJ–<_ñØ”^ç>=ðv%iÅíÞìâ.£|“?r?–L·HÛÂ;ÖØÆQ<ÌG·¼¼Èí›ÌK=qå pé‹ ôáQ$éÉ¿´Ð¹ÉñÖ‘åø‚­jsÙr=u4]/dôåËå«ŒV±q™”"*Âv?\fA¢ìk†×%ôw˾:‹’&›’⼶ ¨h=ýŒÖ0É¥žIQžÂà±È7 ¦~´Vü¶G¥Õ3]-øµÄ2ÐñtYº]¤Õ`V¿ƒÙ)m¦1$¤”ôÌÔÙÊÒ¨î$Z`4„'³öö¡©Éf怢´œÂ”…ÌÀžXvÿ²º}}†U1 þšsÛ€(•aüô£Xõ‚x™C€Rf¥Îíé䈗!ûš´R ~=°F ù@ÆÔÙ!#é†$Ùš2Þ–$+_ðUÔ§Þ‡ÊpÎ%Ž_)ÌÛ÷åYPlÊ>æ¡ qÂ.€ƒûjo˜Á æÜ tE93€;!ùM±×· §”À²sÝ»ìÞ<ïÐ,k<âæ¸ÔÛ=IòYǹ‹¨ íÓ¹ËZ^T6v*µ½­¬®ŒÝ¤§°èobnW´¡~Iê²Ƹ÷HVUjÃZ5ª3mm)¡GÁ¶ØܵcÞ^ôße¾„ã Q¯ÙKuÄŒ~»áZ0[æéžj•Þ˨ziŸ£Â•§ÔÌËaÌ?¹{$áhŠ²2µ)ÿ…ÙGòBE|–Ôë[#=µ1ÐÙçTý¸[÷Êî$GÕS«Ýߤwïcý›ƒÓ7ç*E4Ž®×?‹Îº£°1€:±÷¥ÄóÚkÎyN îžt¥n' ^2£ÑQÃ9U[ÞtV­-TÚ/L·~âúÄÉa8V Ï[²û=Q¬7ÍwîDÀír»!ç7ÃvÙùÃEÏ]Õ~bÉ»Ñþö‹d9r=Ÿ j'Úkj;‘@Ý Kùè•ùÖp`ŠHÅ¥j~aR¯³¢iݱ”kÁ© x ˜øêæA˜÷UàŽ²;®jNdÆuï*™ÖŒ8ÿF®ÙK÷À q·'äý6Ô4¬¤òŽšŠnƒ$b½Š/šØ]Ø¢/=¸èŸ,ÔÎWÑ+(á(¦æm_ÜnmÍÞpâÛYV‡ºÕ>âÝËŽçyøV8‘.|rŒ±ã;`æ=¾Û†b‘AÅðN!¨s\¡*Å'fóHÜñƒƒÖÊ·tà@VÆ”˜ñü†l4óϳízMæòÂV†Æj‘XTÖÓû[Ü:ìS7 «+³| ò…´i÷r¾ä-bÕH ÆSàë8¶ë1…>îm¾ÏÀºý½z½‹¯S÷J~ÒM)³ª«J¨á˜¿àÏa˜~0U ²é$0ÿòù‹ìªKtžÕW¹9ªÙoCÁ¾¯áкÏDŠ].ÇŃQ–ó–#< jU•¼¡®;¾†!º´Ü Dò1GG¶€÷(úEÈn-ÎÞa1q£yüfØÛ$PŒ‚ÁÖŒã³g\m”g·hÍe?É ÔyP*¢]f÷$^  z¾…Œª©,'”/åÞªrø¶œÏh`²ÂüáÅq"»Ø}zôª–%bfò‘ã¡Gã@ su6mb‰çH0s3Ë 6xÐXí&ašÎsóÁvïH©(þ·äºWÇ1•Éš–¿™©²ÖGŒÎß@%«Ä›µÊš*“x+7f rr.*’goM1Öº®‡ë» ”gÏ‹húäì‹Y­¸0p$´Õ¢í}l4W‹û¸ôÃFX KXõ„à7:Ñ帠 Ùí Ô;" îö˜ð²1!Ïزž£æt¼ÍëÆÚÏðø5[ZFQ³zkjûÂÝÞâÙo:lß–ãÞz˜z Hè¹³ DÎJ±´31euëؾt»)~ÙÎH@ýf6ÿð ¼¥®<™=E•Eg–™Rß*Zpx€N—Ay•ÂÏl¬)jZ¯BøǼe|á‰õ®|À>7c½3Ÿ}üP9V®“@Ýœø}Q–k–‡WE…ê¢GK{ì7ŠBùQºÚrûy˜[gÈØ/LiSæì}žöÈƽ™³Ù_£n¬ØU<Ë(øƒÄmßB·@û)ÓqŒ®°j'?]xÓWk¥Ñ÷cîuò4ÖÌnÕɽ]Šþ w;.iy^ú'ôÙ\¾8Ë ¡xòn Ò3Ÿˆ(×Ù²Ã2Ž3_wþ€ê†G­V\Q²\,aŽ:{>Kµ,#M¤˜b}ÆN7¦G"£µc¾ ÛäGîKÑη)a,V¾U‡ÀÐÎ]M¡›å7¦v¸Æ¯óè8Lµé*K– ›ÿ©]ã{8(Å5ȸ" ¿?ÛµÞJ¿ñökUýiÂ[1ンcq̒߯ä2#¹;Ö7ú¯q‡#LÃ:õ-ÌmÜå7¯ÖÖÆ|˜÷¤/\`7ܲÏ(þŒ¡ùñQչͣ¼(T‰ï¦L&€¢GÍÇÛ~KŠÜ^o(ìµ`–UæcÞ Ä?RóìÊîÀ‚/ÞS… —ŸTtvUÝôY=Ü;nÕ»³¨yhÚ59»}m9¨ÂBðdA@6A´åäôVð4fɆ‘ÑI¤>ïämBøÕ¸¡§ ‘šuC·;ÑèWO•/ìC±oAº`6f&«"A¹'uÁˆÝ@\Ï]Oÿe¦ƒâ|n–·Bu”UÚÃÖuna™ÆOíƧˆ—„EãûtDTÄ¥îÍÇ÷I·YÆ–`SƒéDŒs5†ó—räø#f{ÞßíAÙ—Ë:Mï†"#⟘[=#«3÷åÓ~' ZÒlÝMérÀ’¼-`0H$'G¼›D^¤$8-Ý¡7;N¨ä”¾›+üóšKÔóCôh©ö®—7qaŽž~Æ-¼öËËâœÎj[ØùÌÒ7Û2ó“©.>…|Ƈݶñcò"cHÑ¥!õ…³&CòõBÆp˜ êrZ’†É®‘¾T³?Û¸ñ^ν&h{l5¹æˆÒ¶úƒ@ @*;TqÃ×к3Ðü¸>vÒLDgÿ&•d‹ûpqBÓ•Ë$Ûç”t_ºÝ_çh­¾ ´šnÆ@pN¤ùsݸÓH;^x˜vDµé«ý#9¯­Áîâ½â­ZRxœÜ•ËšÐêP#°iA”¹òaÿ¤ýþ¶úeywÔ÷7<8[ÚOfÛ1’õ]Lë«|1MI× ŸÛ#ƒ^ö|Ìëö8²xéÊŒb¥bŒ¬.L~¬>©z7‚{ViHÀ¤$à™5Ö×jÁÏÈE¶ˆŸŸ¬–Œ1)÷jÕ¥±?za#ç”òéžïú¬Ójí’q@ðuöiÀbßÄcŠî8™kö$5ÄQÙBÙAч9™%³ú÷{6 E>÷Uý¯2ß9Öo¬…¬‹ð.4†&%—„«£‘ÛvyY 0™éMì«Ií£ó›P_qvGþX£q‚°UM’¨@¨Â|ûh‘XYWb{c?é^?%} ÏmS¡ðE©“L3BV+kwÿòm¢u±ñkr_iÞÈ*1@ CÔ󧲲:o¤í6ãÏ8ïÔѵX0Co_0¬pñzs­®¤€öt±×Ïü¾y(…^ ›©m´¹|(ó›ðfJ:ˆjóiÕqs·3¤x¸–¬¢fzDQ¼yŸ;zþâ „ï[|•FÞîùù½²ÐÈØ¥êó/9´CBSÓdî¹3i°Ú÷”;f>UéæiÕÜNýÊÕj$¸1ü±ÕûÓ‡1íî?ŽV2H¿îÇ£Øî*ytU¿iÖø̹£©qÜ8¨Ìo9ë<ÆŠÈ­’h¹Ã#y5çÕÈÌÞu¤wï}#µüÓ短H®ÏÐäìÇ­‡|º ḌA›0é¯,xä\¬«K~¿-|MÄFÍ{«²Õ(›CŽP^¦ tWµè€±ìÈS1 aFJŸß½OLzîèÕ?"–SïeGŸJQeÛH4Oã’ã—;Ò»¬1òÎÇÕ6š›Žž¯³5NQåÚ¬ïPŠ`^ údrf}n´Š{vÆ¿XĽ°£5¦dD.Eò3IÊò¨¦PJqt†­ Z€Ôç'è[ x-×›ZŽmVÔ@–æHfaQ»µ5~b”ý¼om ¼LbýÄÏ*z½¹rd6æ3£ÜCRû–XAAD/°+={êšv›tpi ÇAx~‚±_.°Ï ÝR5}ßÃS«Âl…h6F^ëðcÄ ‡^‘ª5{‰h§m“ý`ÙåÖSJñ˶§ÄŒr” ç–ý¬ŒÐÞ~ÒÄ…FkÛ‘óî¥!^ŸàH½;M¨8'iMs²‚ÿó綟˜þ„jôìЯýˆåáfpÛ´|ªyÔèÓ*}_õÇbxŸZ}>go'ná›»MØ7{“¼¥†,žç"0p5ÎLË¿sôa³!èEÊÂÞ|‚Éò©Õ\5E‡Änsè8úŠêíʉº—©’mÓ·Œ¬gq°›2Žô¥ª•˜èa–.GL|üy;ZîµÑy<†°ð꟡Z°è$‚u0˜Þ&‘•H­+Ê®¿Ÿ‚?ýêµ;I<û}²cý<1¢<ßyRßÉý˜$$)úêFsÆ\õ¦†¸¡5³Â4³Àv¾y{v–5–ìk•ð (ÑZ7¯•hî”:–Šfó)òŸ•Ñhá?ÖcåÓÞ¹à¥Fâ"ÌièØ1Õ0Ä´½¥cFwMë žRc/~w.œI .,ûOaãÁŠF)§Þ0TX0sjeŽlójk“®2oøØ+Džsž#V¤y,A™$åU+¾è\PÜóat”L'ÇÚËÊ^(åDéÈé¨fõ-ÞñEr)âHˆ‹HA¶î‡{-óm˜C,Û~!£ïˆ¨#ɬþb°—ä°–°“W OšsÛ'J¿'$Èð8²jºhèhþ9äÛšMF`0²ù©u}Ï€·ÖÏ$qjÄÉëÚy*5½A©#?Zó “ÿYT|Û·ÏŒ¹ì9Vw<­ŸvÞ;úéH‹Ihµ·#“Íϱßua‡Ã¿¡êÚÆ(é}¢¶ògÔ!CÇu ^µ^x,&±Ì8GQ3Zä/Ùß(ÃVVïÐïÿàÓñíŠWV6^å~Û?I\Á.Egû”ÖÖ2š0p†÷÷Ô @°÷ÏãúÂÏñ'k?ÅxÊ2#X5X"‰æZã —i„„òp>Læ.¹JAÇg9ìêñ×ãTœ‚M84¯]ý¨d~ÂÐ’´×ßi§»?AvR(̊Я¨~/-ñCÃÂa½‘à­B¿* ‘™Å&*·¡¹dµÌ„µ›·WÚß‘(þè¥ 5¾[í²AÜŠx[£ÂòcŠD‘™Å×wÇÃR…è/h*a,_wNM4³dt`60ìK˜UH3˜O²tãû¶‰µÄP˜ƒʱAé¯T(U*u“dA«ài®ó…Oó¹2ÚæD!· S©ˆF¾¡IS®Ùø¸8STÖ{r‰18¾‘¬àTr^ô¡J\hTâŒc—@Ú85mB ŸG¸[“2/·h‡‹Ž/ghŠ¯úfÙ!%ıJʃ›²P6y˜KWu˜×ì< ÐRç2ÅÆÏmi?ãnªzÆꄳT1‹Ê5p]6˜^HYò¨Ã˜&êI|²¤„}¦Ü¶úÆqß7…çÒfD„GÞB™ g˜”ËGjWÚ«ß-¬u´]¯Š&F[#Ä£ly솕s5ëuX?Ï= öݼg=ÉeÄû½QEÖ¿'?ЩYc%r3w5#½èZ®%™Äd}Œ¯è¬ˆ)ðxtW[Ä€z«šÈ;!ÔÔrK÷àdIõÂ;­3d´œ.5IøÉíÕ ] VËÆð‚ÖAjåÙb·™š™OÛT[wµš­Qwß‘‰Êmã:ÆÆàèa®Â‚D×ÚÈû¶à0áØíÎ㵶'î«ãñçïU¶2;Ń}÷X4Eî^’hL÷Žßæ{jTÑÞñÊ|gdâÌÙ-Q$ºÜ<.ÿúÿW¾È endstream endobj 205 0 obj << /Type /FontDescriptor /FontName /SDBXWL+CMSS10 /Flags 4 /FontBBox [-61 -250 999 759] /Ascent 694 /CapHeight 694 /Descent -194 /ItalicAngle 0 /StemV 78 /XHeight 444 /CharSet (/B/C/R/S/U/c/e/four/g/i/m/n/o/period/r/s/t/u/v) /FontFile 204 0 R >> endobj 206 0 obj << /Length1 1999 /Length2 15969 /Length3 0 /Length 17181 /Filter /FlateDecode >> stream xÚŒõTæ]ûÇ gÛš:³É˜ls²Í3ÛvM“1¹ÉžlÛvM¶õt]7æºÿï»Öó¬ÖªßçÐþ{{GN¬ L/dlgh"fg ¤gf`â˪H23˜˜X˜˜XàÈÉU,€Ö&ÿ±Ã‘«™8:YØÙrÿ#BØÑÄøa1~ÊÚÙ¤œ­̬fnæÏÜLL&&®ÿÚ9rD \,Œ² );['8ra;{wG 3sàÇ:ÿùPQ˜¹¸>Óý²1q´02°ÈÍMl>V42°(ÛY˜Ýÿ§¯9hÏÍÈèêêÊ``ãÄ`çhÆOMpµš”LœL]LŒµ 3°1ùwk päs §9”íL®Ž&€ƒµ…‘‰­ÓGŠ³­±‰#àcu€²¤ @ÞÞÄö_Á2ÿ  ü{sÌ Ìÿ-÷ïì¿ YØþl`ddgco`ënak0µ°6È‹É0Ý€t[ã¿ ¬ì>ò \ ,¬ ?þ–nR|tøïþœŒ-ìN NÖõÈøW™mµ5¶³±1±:Áý¥OÄÂÑÄècßÝÿ}¸V¶v®¶žÿ!S [cÓ¿Ú0v¶gTµµpp6‘ùẇ îÍÌ`gbbâdá˜8LÜŒÌÿZ@ÅÝÞäo'ó_æ¼=ííì¦m˜x[˜š|üót2p1M¼=ÿéø_‚cf[†&f¶pª˜MLÿÅçïháøÊô1~̦¿~þû¥ó1aÆv¶ÖîÂÿ>bFIeMeÚ·ü_ç—/vnOzVv= ;€™™… ðùãÃûëüwþÓýßV‹«ûGEI[S;׿šøؽÿ4âòïÉ ú÷µ¡üï rvól ú3þÚLìLF¿˜ÿ?_‚¿SþÿÍþ_Uþ_Çÿÿ*s¶¶þÛOõ¯€ÿ¿…µû¿#>æÙøq7dí>nˆíÿ U7ù×…–51¶p¶ù¿^I ÁDz5û˜szf6&¶Ù-œÄ,ÜLŒ,€Fæÿš¥ÿÆÇÖ¶& vN½;YLLÿÇ÷qõŒ¬>Þ§#ûÛeòq³þw]Q[#;ã¿® ;ÀÀÑÑÀîc>ˆàÉüqWMÜþq#ƒ­ð#ðÑ£7ÀÔÎå`0 ýeúq¿ü¡ÏFá?Ä `ùC\FÑÿÒgÖÙüCUdþÐGžÜúÈ“ÿ/q2þ €Qé}ÔTþClF•?ô¡Zõ}¬§ö‡>T«ÿ—¸>VÐúC>ƒ?ô¡Ìð}(3ú/ýuŒÆÿ@f£É?ðCªéügjjñ‡ÿòþ™>Z1û~„›ÿÙ>z1w·7ÿx†ÿD|Øþ™ÿ!Ûêø¡Ûúø!Üæ~< Œÿ(õñ1Úý?¤Ùÿ?”9ü?”9þ?d8ý?öøüPåüüáú-øáö7þϼ9;:~<é?,Ãüþûÿ‡‰‰›‰ÜÒ¼OeMPëC•¾+ýÞ8 bÿUÄ Œú®(®Ëb€0ïã5ëÈE¡ÎÙýÈÇM´c–â÷F+ ,&+Ý ¯ÔHn¬¥ºVHSÃ:¯I4¾§c'g–}éŽ-}V[c3¬ó&¥A×Ájl:‡Ë½¹ŒCq^Š¦Šûróshʆ°ñèHhNNV° 6¡Œ¶Š/ÕB3³í’dNW‚㧉ŸÄSûFXØ·û—Ké@-¶RñŽí¥o2Žø¿ÿîæÀ“ÖŸÌïv‹â<ÇQÜ´ùS:* òdJîN^I\íFK*™5I l‚÷¥€ oÆ‘\l e»RnëòÐtˆÿŠXJV)ð`e§,í.+G烅ï]„›: ªaÈF•ö’©šJÐUqJÎœI- IGoPP¾ö\`ž2‚‰ tŒ± ûÒöiÇW)$+ÚrÁZo-`X­šßÚƒ,ONŒqùLxL –OàÅ1q6*Îe‘‹™2úÌØJÉØ<ˆ–Àx R}†;Ðcü”c7Ï|Ýß«>©'Ö;מUm€à"Cbo®üô¾¸'Ïì !ÔxÕ²%è‰K‘\2©9s›©. èµ’ç„:ea:óÚ¼C0ªóTË †ãñR}bñžþÍ:óB=å=ø“jõ¨i||™÷D®C´®]°àÏdÏ°ÚŽnŸó )厚ÒÞZ—[²¤Ú‹Z²Ëù(¸¼4¢lµ%Åxcµß0, We?Y9JóA‹GÆõ½Ñjœ}~Ô´‚l–ïüøÆuÛ±×SM:&ËW mÊ`ˆv53X¶ƒçÛ‚(N8ƒÐx\r²ëŸ;K"Mômù)»4` ™ª-WKÓþûB1g唃§Wœ   —I‹ŠlüpNÃF=Ê)úXâmɶÖ\ãM•¯€¡Ï€è³ÆÀ4;˜§´lªÇD?|‡Êrò­ea²€vïó§­4(]¸9óòŠÂgI –7Ê'“)è Šö:!…†d¥Û‹9w^€—ìÖÎäÁoaS”E7#Þ¨Äå 9óòr¦sýåP‘ò½MÚЇ³Ëe[žxÆË;úœâ Y_ ®ZÆU¬çÝj‘©û$´dTìsH^ IJ÷g1ú‹â_Ë0Ý& d¹œ(>ã8ÃÐð-4Ü'¾f#Ãx$üb"?Œ³Ê‰™&Ú¼ž6fô+ÓÉ2»îõ`¹(äÕ~'ßH´P§ Ä`w–ÄÚ ˜^7þ! ›oª^Õ ,ÓIyÔl?be!º3¼:,É‚TC«ŸRöñ“¿-©¨GüM‘¤ÿzh¾©á$.DR»C~€ß?–B2e~ÖÂû^£öù3Z…9iN2)~*´ÊÄDD.BF”Ð,sö—’Ò+kÞŠ·¬‘·~÷Õ·øüWÿTñ’JmFó)[Gy·Z.RÐL lKïøÉ>²ÇìÝ^xÄŽ;ã’Iµ-Š†’šÅü4EQ lãé`#æúÜføŠfiùÐ@¹Íoƒ\$ͤ "4—d¥­hÛîîÚ¹€b.y|QOw’¸LE!×ÆË©B‹<ºù”_i?@88عc”ýPIYoA@ƒaQch¯uNÛû†]°~†ÔDm/öv½©ñé ¨"asúŒŽïnEcV®ØBI ýØx>]cu4óX.îH¾Ñ>,6ÛeG”Q»'0èò¢ÃLe¿ÏêšÉY«q_IÀ¯>Qåc<MY’1Ä=Æ£ ¯`ñO?;î¢vjæzt³&‰àé’Q=¯•º'””V®<9•„8‰á+ØÙ  ¥ f_Œ òŠÔ ¾7{¯ô*¬ŒHR¾)‰š¯þ&$hñµ%¶?ûámÑÒeí A™ŸÀÆòt‹ô­¦fYH~Â:1ˆ¥ P™Ošø…ðµ$Í©“È.ä׳ðêùÐ`Wú“߸o ·÷J£ì’Žéi ”Æ’µéÕú'±q¯E@&^ˆù 'D±?¹Š‘å Œy˜¶×RrĨ›2c¬öæ«Áj¾”Gm“DS¬sæ.¦_õ¤rãŠ]£¦>4¥5;Æpé!·vU€9r¶f’£xqr³;€«zαÇÔ(ówA½™GiņîÄw2Á0Nø¼ŸÙJ ¢7 7u—êæu½ ‹cm:b(˜’‹¹+µ¿÷eƽH„E«\½¿ìgôµV0U°RØ_»³)r;Hwm»¡µžõq鸛ÚdÕp§ÔÒ!ºiCãjâpžµÉœöjº.&&*±|°G:Ñ[ã»í ùl‡ D¨.âwùø;}§lÂý@—à<ûZf·³ï£3ÑœûØò“l†ÈžA(§ÃÙõie7²—µ*j¾=TÌhØëÔ—ôÙøÐëh”벡•1ÎUö¯Íz3HGð]SÔ‡7&P|6Ã[OÃÜï¯M̳Ñ(†`ˆ"…\¯ØÞ#bú¡àóåL÷F»¶yJ«’waöuîÊ£ì&‰µÊÆWï&7™Rj1[ù©üvÀv –ËËã<¬ÖF-õ ²·YEn…‰ÖÑNí³Îq×»ÆkAË&¾ñ÷M=™dÁ‚ûR×¹é&¨ o±Uc ˜æøáˆ3×Èýóqò_²ÅF=9¾ÇŒyg—††„¾Ò´˜éé,ëe¦¦¨Š1A(]ú$p¶¿1dì#B(]£àa~êÒ¨£ç%Ôd„…Û5\>Gl}BJNB¶>cÁ¥®£0A ¤]¬ ¾o7{û‘ÿútÔN\cV‡èGiÚ#àPëÚ\ÈÎÓš{ÞßR@NåÐñ’‚¼Rok~§óøþØç9Ù ½_XIÎLœœ2ÓPU¢Nbï<ñH²¹1Prd.ÞØq|y©B¥‚×ÍlD6l½+é2†DŽIÑÎ=ç:;Ô>“ÌmÝŸ‹˜>onðyE&”(.Àïp¿\&RuÀ~èñ)Gvr!´ôMN´*S€7#Øa¼À©åƒšG¾¾‹ÓÓQ!ÌièJö8"JDP9§#S+™âBµ;[ÑÚ¨¿‰}Gùôî‹Î¾Ý¾ÑX šQt­8]J·2¿Û:óÌÏ„õ*Rúõö*Šÿ»_ÃEXÈü7Y?2{®;?ç±'§Ý2óÈC>RUé`xx®ò°ü ‚‹€@dJRÎFËØNs¼š•Ÿµ‹áúÄP0Î!¯šÁí6=rÏ‹éâZ~ IhÌŒÛ*$õ'µ6å' U¡èsµ´k 3 dƒ"Þ ­·â·/¿3MøLe¼û´§Ô›v(‘™º¢úw¥‡«’. h»øgŸÏýLQ¥[kiZrE!ÃMDn¢I,‰ëf0RaÔßÕ_§†_Æ Øi ûÀ¡q¸^䶇À£ë(f+½—I3i`Váæ??…ð„2z=Õ h°døÍŽ¨cu» ¥œà[ QªÈò *OEW´Y)pšâ–5ó ”ý¾.ì©€°øI3ÖotHwh#òo|Š&K™]ŠXX<­–Q–Cdïã[§ï'&]à5ñZKœ5«N†Ò“«˜WkB¿]åÆË-Î,‚ÌH\ÑVzéˆ4æÔî[«¸€ÛR â‘ÍYg÷¾ÉÚœ«·èk“ [X¬Ö9vµ°éúÝ#3R”{·eT(Û8•cÅŸ !Y/r"Ы¬Ö{>Ò¼aÌÇX•¸ —˜€1 OÔñÕCC Þg£åœFcQé…mÜ®»ˆ‘oþR;‡^1ó€x5 böÈÊ{!¸YË"ÃÖ¯ÛÞ>Wd ¦͹‰ÁÜyQö}û®×½ÑíØxïE¥14—ÊíÕÉ gÙth¼ó@¹fµà:‡¬‘µÐš:vd"ßµð­O@lg“8}ñ3œÒ[ˆ®ÏæÓôY볉¢¢Ìçãsô¥–«/û\Éäø„ùö‰ž“g_!òÓ&6`›j—€†hÀV•‹ÝIj5ÍLÎxô±’ÝïpBÎÇèÊI‹G–ºîåËšà™p1ƒ•â<(¡.©!ˆÊå]:Û{ü˜Ö¹§¸¥^»ýÛ˜·ê=’X(3Ÿ'T}ÚÊoõº •Î)õ¯ÀVE:KôçIœËôO¿C.TÚìLzì~]9^ûþÒ§=´Ó²ëÆ÷fõ ë™XŽ¬NUyZ—óxÇIÕ€Ô 3#ã_u„F :~øì¡Üjq´šì~©*«Õ›#.i>õSfàìý`áÊZÁ¦Òµê|¥Ô^ЖÎÝ·›€mkÌ©t˜»ÏM.½>û0PZÀ…ô &ÜèJÕð²HýÚ‡^S·3Zð{a‰¿¥9ýNlÝöÚ]ÇTBïU—GÉ]B5’q”„špîØuÎP2âWÒI<‘náî–•„ûÉÓ÷Á]øf AØÐ+r²§¥±%•§z'ù3ºUWbRþnæ»ô±2óUÛ÷])®z5õN§#IÆ"U0OhÚÆ+™ –í¾Ô¬n«ä¶¯”ÖvL_iù¢§J% í5Iv{ LyvþI3AÍöÝdZ¼©n®×í¦…ÆD¦¡ºZ+NA¤—ðÊ!„à»*:$‡oBC݉«`"Çá͇lr_Ja®:wÜÈ“:ö?›‹’H b¾1t&LUÎ2®Z¯~µ^£È8ÀÀC Wò‰UwýBüã&áþÙV§Ÿ“V’ÝUSGÂ}µ¦G•dà;ÑMàf”.N×*$ZóÛUzÈÄÍTï-Ÿ§Væ‰*G¬­ ùØßkÕ ‹¢¥Öe(ÕÙ»ÌÁ©* ³˜Nq»J¬R@©]ÜÆ ²ãaÕbo/KÀÁýåØ0ÐmÒT[&.VUñ>_9Du•ž£Âdåp©ù­$Vm2ð‚XÝ×µÿ¬ÑFHn´ÕOfëf§üUkNsJfEþ²0ÿÞ]ê§b"5A§(8 ¯Æ@«9¥0¬–¥àþšOm7–È7dêÿ6Ò™¶nÞ§µpQ£ˆ!U4৙/…‹]ÂÝñä¦4±–4Ò° Òe,†räͧRlç‰Ú¤\ÛâBD3(‰ï¼ …˜Ô” ô岤ªò‚“æI©†.™T òƒ»ÅÕ=?bæÅ ÂËŽ ݦÎòTÞ/Dx#¾ï°"¶ç1²¬Ä†9QS뢯BÜYÜ•|[Ì`ÆTê[¼PMàô}ë¯ ˆoúMdÆF4UÃfÍØÕ§¡N;é%ijä™k>Ž š ÃøÕ–.Ý‹S‡°R8‡»õË¨Ú \@ÖlãÀPŠYRå:~ÀËJtfBH„0¼pPKÖÕ5µÌœ¨È2J÷êô9ž²ò8ˆPÞ0¶T; Z…qéùæÙÏipªï¶¯“(ò®X& \X«`*†]t—6»Ê`púJ˜xqTÄ°ë†`4J´Ä oÉ’ü´iJó´¯û\Zý5ù*=zýÛA.£¦P°=‡Ë—ýêÑ•·GOo¤ îëõ–àÍ‚R鬪;jTÜÛSŽKJN -ÑuÍó“ûè\ØF"·¡žU¤åg~·Mâ;ÒÕ3䬈gïr5®?ŽîÈn–/*?’ÄÌ‘X»Qﲜ¦ðÅú<˜Ñ¡SâÔÅNPC2NMØD¥§GR’´–¬9þ7Ñ{q{¬Ùœ»=ž¼]çOØŒ@=ŠøÖš 퀔œLþŒ÷vœôÄ7ÓRW|C~/ý÷‚´Ñ!1§ñû‘åÙLÏ]ɬV^ûØ9|î _vì);#]<û¨6¢ÕÈ»ízLK9„[}ÃmûOïý–—¬êûJØÏü7o¢9H†Á¦HCÚÔžú-õ*¦˜ }k¾wþTÖYÐÁYáÀÀ/˜gµG_:¦ys  _¬ZžžâH1dS‹WxN©ãÛ@–(¦dIf)½AŸ-,ä¸ô`ucÚãqd{¹lÑM?]†vÔð7â98S/M$éÅe¼0ñ+[SÇ¿óç®tg>#q¦„äœ×Jú'è¼1ç G=ê´WoF~á?oùiça3£:Nzïùˆ¸âxŠ·Óm˜%»ï7Í“Jïë,â>Æ‘‚Kí‚%”vš#J}H^—¦º‰:'r×Fœmá‰|•¿–¶ ø{\™’ªýGG„¢²Ï} ü5PœVÛ³ÔÑè½(Hª`âç^ÖrÒL 9Q:6Õ‰–I5F0onJM,{|W•ÖŸX2­dl>¹Qú¹4Þ‚#Vë蛼TÿÓðmêô+)µ“?3Ýr—uŽi™äõu}Èl¹øL?úþ:™åMQŸß&è°« þœùÆèH…!˜ÕD&Å-îõðnòK¤YÇ”œxAá–VT²–θџaW„šB·mÍy :‰²sB-ÕÄé;VNΙ*ãošj)çv`Y&Ñü‹W 5Î^LÁJõ4½¬Ö~©üá 3DªMðåA% …ld ‘;}ÃÝkµ¬”ÈiÇ ÅqFV¶)/ñ9yzÉ_…%Ê7¼6P:O« €-îä %B Ò(êJ뢠Ò#¨-Ï üXÄ» ˜C úŠQò"‰ c6‡è<f:ȸõ·%ì+ŸøMHãA)ùíœøž–8yñ©Yú ‡§üâÄ’üèÚàv{Ø{”f¯F´žãñä‘.ðžÄn=|‡)¾n·-°Žo’2›Wg(„cx8ùŒßEŠr<ò@ð ²ò’^—“ém>@ø÷®ü.¥†°†|!؆43!uÜlºUI+yWW cÏ r·>Åüœ†÷ÐñQb/œ(× ûÕHÀ T»yÍÏ0X0¡£mHáÐÎ*’²µžÆŽ1­¾4ýþ’9õ(+’h<'Må·°<8Ž)˜dïpº8‰£Ó?QÎ0ŽžG,¶ŒÀW‰«Ir¨(ÊQçôôjÊ&pݼœjo€ìLv}ªS:^m™Š¶ª{°¤&æýR_ ©<¼øµmª›teXÌM'C õWé%åÎÊ2å£Ú-ʘa@>Ÿ$Ì.ÜøÂ’14(s·ŸHöGžË-ä „{áFM?á—QÂóî·ªbnËLö2%7Ú¦SÕÏHØŸë#ÑjÓ±Û~=€ùïs€—&ø÷DRpØûÕ”¶O‘"fLF3¨ìø>´!4ùpŶÿ8æò¡¸ñÀ߆gŠk\­†çvqˆc€–²´ËgdÂ,)ÅIÉy ºlnAzü¦ÖIöµïW)úXèh:óÜÚpSH>«¾µììÞ6×/?Rù ã”Å©ÙX§¶é£Õ^‹wš/4T_gé_^\Ä Âõ=ÉVw›€­0H-zÇe;tÔèÒoÛ9ϱ¿.)[d‡ÆytÊ%AÀÒ‡âƒqWËœSd:ª)œ_ô¨ÛÿLØ.|t+#öôõ˜£Û¤PÖ§®<ŸÒ=[‹†ˆ p¥a))+¥” J±žò÷Þ㶠¬΄‰‹¸¦Ï¯ª¯•:Œ^ñ¯V4ûcñ´éW¤VßrúÎW·ÐÔØ’®‚ï__„AEïO¦¹”IÊáåËL)*¸—Ð7®—zT_Mƒ²+äYTÓ•YµíÛË“œÇµ7D+iÅDJXlhZ£e3Lß4âë‚z¯OÆ#¢6 CwŸϼ íïÔMâØœÐò»,ÍÓ§­ƒk@cÜØI(1ðV¾°ö©†»á½Ñf…Ò/¥›ât‰w"ygPhì–Sº'-¢X=½‡9¡1¦v%@ø,rÙvaµ$‚"eÙA:dìñÑ∢ r÷Õ©ùM¯-ž¹´özyŒðûZÊ&ÉuÿÓ!È0üi;Pgg%?(‚£ÃàrtœãŽ7gœlÝþÏÉÕþ!˜L›L Úð{—Ï5b%9‰bc™ç/;qðdª‚,—´Lùs†( Þ­a ìq'ídþå†Õèú¬¸ý©¹9DÂ3ŠfÁÒŸHùð„Ú‹Îé3Åýþº,¸âÍ8¼”vƒ²s-¡B'±4Ê™./Sž”)}…È¡^2¨KŸ!¬íö`y8·>ÝK…ÎýÊ™tÌâ{î5‰ì8a«¨l_—Ù@C·Ãmýþ[®ŠüÑæ•©Ç‹'zÕ<#E/v¶;"-p€Æ¦“fT¯Ï¤v ]–¾(Û0<ØŸ°­QÙHÂùpZže5ßQ%›;/û;°ÇZhƒ‚*ôç'rÏâZ ìl –_\:öqÒçx}pȽ:s-÷ÇY\Ь‹lí¼ŸìMbµ<¿˜‚²ß ª¶õ½á,ƒüabkø|xŒ·C|Ø_•Yf8GWÎRÉ©*áëR\ õf`í,ßÆTÊÏCkïÛ¯Ò”CJ{Oº6bôY†sKÀȃ^EË÷µgšÈd+Êý¹VJìЀXÝâ J;õop…cA·Žh=Ru†æÊT2Ùésãn óñõYgŹ±Š^#~ÍÈ'`†¶Bìûy+ ¼÷Kä4;8¢Ú©<­\0À8@ɹìw;Œ““}[eÚw!q°C˜a|mãt'å3y¡áÌÕŸfoðc©lÏ[tô™mª6ÜÎRD„BQGÔDÈÕL5?õÂntø&Lo¥JÖn8•£ eºn+Å|_,«ûf^NüD•6<ð9ÂW;»•eãQ5¯P¿¦•ùåÈîÏW)qŽ¨]D˜%xê#v,m¯œ'R©“¶& X«øÝTiÙW'Wú'§W¨»E?*|¶WÕú„΢¼ìdíXïñÔˆ¡W9¸\UhJP9xĉyíÑeœÖÕ<ŠFO•Ë=™ª$lª›À±‡p(óƬªË„¹Ì(éxcš´ ¦íü|²ßs†3ÔÞ-ðQúfd_èÒ™ Ö'4;¶iè’ËÙ œ©ùõ“ÜW·$ˆL’{š\•-33ë0l ³+DJê"®R’ÎmžBÖ×ô,÷vÈ™›¦MyP,,ç±&NQ ù»Ò.òD×5¸UÚlGƒKÙØßrk@«nWÇ:¬zqë‡*†õ„}ÜÏl‘f4ZT¾JáDéEßÙ˜ÁY°TOÃq¤k `<OH]Ê¥b³ð¥ùX>˜ÐM ógŽ9v e–wJñgÒ|)ØçóAÏÌ(hÁ¡¬—G¦Å)ÏÎ÷p®©r¸O"¸;ÈÚѸ"àÌàž¦LX´‰ñ~²ED‚÷ˆnAŚߊõãèþ¤­#毌;Ç‘g<«Iã.¢,Ôû™2*}šmŠ“6\G«ÈùZÑh€…ñeÕ =º‰ ·9—ɬç.—zb³%F×ì¹õÍøylf‰’=>Y„/ºÃ›‹X7ø ôl5\áuàÉÔŽ‘ïVí©ðÑ–þ1¢³'ÒöEÅÀŒ©áV™QÀc^F 8ý£\4Ž—Ò”•ÉaÎwXùU,Ù60ÂGŒÝ ª|Iì•ÏÔ*M_Œ$¹#Xi‹BJéñnxHë&¡Ë¬Ð s04{óè$`ö$ztõtµñ«ªÏ­Me–{O îÞ.ë;¡¿„$¨§¿g’³û{Bõ¢ÅBrkg½Óíò¥,¨Y›•¬v§Xê,ñljÒ³ÚÙÈ[9D$ôVKeC7 ŸŸ´ò;J³8v‰ûæõ{7ĦÎ,ññ]·iÜ]PµuQÕ‡i‘`8¦MqÈ…"S}&Ä@2}à)á§ëèär½f0Ê%Æe‹PâøµŠG}}:÷C€N׃@¿ŽªYS~8âœ]Ñ™ÉÛ õ…˜rQâæÇÂmÀ|î—)ú©à¶%nu;'Fì¹6r&Y’ÚRÓ9n³=ù!èsçPE·Î -ºfH"ZŒ}§¼$ø0÷ïS5¨¥vbjƒ`DÙ>Fgú›×>>ÓEò,(´£•{ô0ŸFÖ}‰8ËŠ2­öQ{áf÷í³ØÄVÀ” Mãò0(ê±ps %_ˆ±ë½:è;š}dd5蹙Ƚ]‡Ö2áÃ@Î,ÂmÓƒ‡õøí1êrÓ<Ê­—JçÇ305¹ê¦ˆe2woàxgæÞÏPÞÁ7M‚µRÌòÕcZkqÊ6ÎÑ;ÓzL²\КsŸwû9A‚¸ÛÝ–M õo,LÐ%ÃÚq HØ6‚sî³%€Ÿ¼ øˆ}c‘`§PÃóAaù†ïx}ZYò©)·X’r'|t÷&]½]Ï»{ŸÏÙb9,±‹Ö´§f@ž…ã°ú”Øë·"3¦I½"{‹/*iÓé_kA6s+%¹õU#xE:¦Ñ°- i s6Aâds}=Â.Ýض6›¨uw3Ÿ»fJ"4ï`’­Ë´Eô’1®L‹°žÚ$O>fô{òc*í|l=…çÓžä• Û0nŽËrÀHÙ¥±²›áeÞK`/«ë f?w‹²ô°ž¡WÜc¡ ˜ÂV®Xg5[‡ ³ç%h{Ô°ÏËUE—Í”ƒ?êV£ 4~~Z|Ý`…抖ƒ1b Q.Ã#ÇLDpÕçÖ7CvóTiNÍZQõ‘Ú ´ažTx¸³¡“]~ :³ ó# ‘݇ÜøÍ(5ÊùTMuPPNQ±³-”ãPì7êon§‘–¬žDVaŽSa8ò^(-YPèƒá#Ù/ª©ÇéÙ ùrµC¼xþç»…t–/`2ƒøÀ1×î§L¦"Võ9pxësÄYï‘áOõÁ÷0Œ‘íŸÔä¬.!s÷öß*O¯Þ¬:„ˆ¦Q€ˆÊ1íb.¶ÍGÎa›^XÒ¿W,õM‘6û•åñv'ø Š°…sÉ°‚#‹Éå;–ÖS“íþUã=*Zâ„û†£Ž’ürâ­ÉýTT£ 'œi 3®ÊwŽ2 ·l«¾“1¬Êö¦#ç·ôrVêÀUíc$»,…_ð!ß‹s¾ðsVÕ3ø5Ã:¯’à”®Þ(Ã#]+oó‹½¢s‰Ë¿ú 2™mçîÓq-ššë)OëàbGÙeMéÇ@nãJ™¯•¶A†ýH„íšÓ,Nä>œÞ°‡e¼0²R†‰´˜zc‚Ë“æÁž"¥Â_÷òéá šfD¶Ù×D c÷„WEr{Ÿ°IÝa½÷ž¸•Â%Zè8•íì?0d`$jW‘~þ’F]ÚDfóƒ-ò3Q÷1œsEè~<ë–Fy ÛPÓAFæDt!¥sí ‹Ã›Ð~Lì/RaŠeƒu7Püߣzé/mÅuè¡êÕyrÌ“Ž¸%P_ƒðàê ~cÃW‘H@ èW·SfLÍ'·\›AèæàÝD70:‘ÁÞ…oÊÖP=OI|‰J9¦¯+ùF—k6ÿ*Ê?=æO6èy± ¹7câévCÑDE%x℘€ä×xŠh=Ie[X…:#ÖΫڻ%º}ÎÚ²—ìtzo‚ŸÔrÓnì^­+‘A†'.ÖN”³$|Q}‡–ıßàa ˦l¨~0ŽìFXèDï ÆŽ|àiÀQY × wª4öHñ z™U.vÜðƒ¹TÅTeý´#@ _Ÿ’Ne fž ä´Eô»<´Ù²_Pës„¬ÈZ¤gW‰ÒȦ§º¡¢N)¬Ç)¢k6Oo-$°µ„nî'C1šÀI¬ ·ëøÚLÑz¹iãŒwn½bKI–ƒâ­V§y&!’ø©/n\4ÈlN’ì±–$¦õkàt™{®X å:…#±n°’>DCè^o0¨y^„UØÜ…Y»š¹ bQNÕCkË@¤£™/è˂þg'À;+‡î¬¿šiO]¼b¼èðsú…ɯ\?+F)çHUJêè ù&ÆxA7Ì=ªˆñ=º |qÜò¬Þƒ'Û0G\kÃ&“âì;¹27ùÆP.‰®‰2:áËTx‚_#á Áﮃ9æO®jŒEØìu@,Þ)éfµc¢¹©RøÂ…@ ïKÆ‚Õˆ1$‹œè‚Q1’ëGÂŒúr|`½ÆâàÁNG`4p˜:½º¿ËTqbóM¦M@‚€;«CöìmÞ•áõÈemI`1…îGŧDÎNÓ¡Ì2_Äð!¨e­Èéµ· \ççäÐpJÃËé¼;ë¥÷j©ª)ËYÝå-òŠáé|;®‡Éh†Ò1A6<ðMàz{}Mó|#Äxñ¼wüqÓ™²‰ û†ìkáâËJn*¯Ú˜ßwyí‡G"4_q%j&+\VèThàü¾øÕP½Æì½ã>eÆw´°Ü"Wöz9™ÂŠ#dTå“ Êç÷Ö—ì7¸å6©_ð¶ä'Rn¨BI‘!“õ 5?ÁjærèÒa…{Sê룟9ªZLŒÛEâº=r¦Á«}ªûÝû›S¤NÉðˆ [ü§¸œ6¦Òïò¦~L¤¢ÛfØŠO%Hi ¤ª!Èö¦5ýqÖO7ª2ÒÏþËï+±4™IdëýæÁËà;­’- ÑMOUUõ.›_$#×ç’@Øn¤O‰¸†…} 9\<-gèàõáWIõ®ŒQ7§Ü6î-ZúÉ‘~³im›rpùŸnO ¬¯´bFÐÔ}Íå,€ˆåÃlÓ]ˆMÃVè}s|´¸Ü×´&chAïÏ”Î_Nqß&ë‘ÿµe²rLþ*)´U×1>Ž9xÿ’Ê'Z#Ec[%цâùié+–:»ôH –IP/⼫E.iIÔyuÀÍÂÊžYÂ9Q <øæ­–em6¨ÚYçH“5ÙVb9}Gùhî×ãC’e2ºE¯&Êé¯5ÐMóÛfdü¯ã:?$D^,§## –³^Mkv3¸6{zÅbš­K“,"fñ±3L¬HÛtˆyÝ7'2ü¾Ÿåá@œ¶àXs`ƒÊ¤3£î8`ç;SŒÓ0uÔ·(„Ëëp-2‚oqaôžA¦ ’Ì Æ7ÅÎ~¤rýå½ÒÆ+¿fì|5ðé;Ur\·sâf^T^§î¾ :Äi¼…IÛ·ÑH=:S±Ê©BH–íùòfùÂÆ¢œ-cƒûÊèù­4š»§Ú‹‡ÐéÞÒÇê\Œü§R|¹µ±G‘^cÞsŸ ÷1 _cãd)ìa#Ïtä™Í f ù˜ZG†£ñí™c[•(¶zgÖ䬞G}JZï-6ƒhé—ÝúŸ•zž$±{òªßi(‘É!æ­ÄŸÅ]™º2P`vŒ0äwMRíÆoÈ` bèØ&æ^‘ôe ¬©ö¸ 3êU/%ºñ¢u±êLëŸë¼\ƒ®øq¡ºV°èA[»ð¼xùi,Ê_) Òz}[pÇáeYµPŸž{ñ3ÁàOÛ·E‚°³"w{ ëáÕ’J6Á½¤ŽñF›[MoÂøp'fÍzŠh¿‰…Ê5üš@•IQ‚ª7CØA³ÀíþÓ½²t¬·‘zë߆]á½ÿÉ‚ÖôŽ+€Š½âÅÌ2NÕÔ÷î&ѰܺþûòjjøV\áà!ù£í݈9…¥å¯9aÜW¥Ëß,¶IQY{Ç/zNë]…„»z¾X¼¸4c Úšš±cœ`géSi žØïã h¨ ¼ªOn÷Ïs‘áÝÏC1'á†àP@¦ÎƒÁÂ6¢XÄys³rðçÍ2"dv=WˆÆ ™„5-ȃCRûäh f¾˜½$š®à|R”¿#¡ÆMJýçI®ìáÓãXȳµB×ø t³*xO¾©—L3Lé´—Ïáw9puPˆq:4¹®;ÿÛ*õUÈ‘ ÷~n_ºn%»O-V@Ör~íqçóÜqdhæÏê-Í·çEÎÖ>„„²{pƦšR;C,¥Ð¦ ²ÂôÑl¿Îµ­éR!wEÓ„ß$»£&WŒØ_¤¬(y²îr¨fØ`q UL??;>c+Ê #š‚4Ý}!{ð°l?ë*ÈwÑ?*=ÂÀ’>»èƒ¹§²e¬ˆß˜2ìÞ*v÷Î~{Œg÷Ò/NÈçŸͧӅ-wJ Jvé¸E‚!Âqë€)ß›£ÍÕÒn†¯#ªbkÑ5¨òj5óÇ^k‚ÍŽs¦ ô+µ—m»¯îÉøq˜ÖL&tñÝ\v5§^Kôf¹ê üIš`#’‚Š•-eÕJH·…ÛHõËÌCÕ³`Ëq®iñéæ¤ l99†ç¯ÏQ‡>«ØIC?DÖÐ 7ö˜£üÖù8º#A¹çøUåý› Ëë{§e‡—/¦?ð<²GÆ(Á2¿¯m¶PHÃ78m‡·hÝzC Vš+²2“§GOmû—RÌ^O´”Á Ù „j€¯®\ßûËB¸I7f‚þžÆËÞâ€^^=¨úÐ.VñÍŤ¦Ô.ÇCYûUš£;~…èœtYP-¸SsRŸµ.4žiÁÅFmOoÃT1QÌZþìRÄ«ÀÕóûþ•ÓËò*gNlk ÍÛЉ|E£ò¨¯f58±‹oÙЇ߲ŒDIÐ__Çð©€È÷~bÌÙª°ÖM|)påéG…ª70{Û³‡‰³Ÿ3”‘c’T…Ô ˆÃâYŒóÐD¹Ä£_‚Væ4^ùF7î‡NùZ¢~VIp¢,·_µGaq:©ÝQ}\äZGK!¨Ò7Uõ*0Wøý§èhc¨¼žÅMŽfR´ämu„ð÷È·%–uçðøˆŸÓ“ûñ;ú¯­ÊöY“ý¼óæ¬ÀöpWíìPK.^¹[WL”„pˬÜM¼¨Ôm%;˾Ð&q}må¸2»{—ŒWè„üEAkZ Õ¥ª ™*#%ÁwLç ‘owh0ÅSïÀì2EÈ‹b¼¯GQ”‚‹ÕãÍy> <8=1J{õÚ:µ¢mRÇR|ûqçaØäJù”þ>œc¶Ü†ìñŽ© ¹=D>5›’ ‰óÊæeÂËâæd4šÕ¾ÍÒ Ý‹$ñúE‚¶h['qÂýSŸ`db¯*7¿Ê«#Õ½+—Ò.÷ß;E]æ ½ $= æ!2àåèÔ¶ñ‘;E,VeÕB´°^š®'E4dCáHzõ]¬;ŒpaF$¶Äd6‰†–T» X÷¯¯5·ïb\jËýe¤ŸŸM®Ìc’h |Æ…×îw¤¥²úˆÜæÞûV\Ì«šv:ìnÒ}>kþdKÈyD’™ë;ΖÀ*ˆçÌõ^RÓ©ò&5:ê‘6 UŠV+|>¼y&éœD THUžoA/¡TM[Á[èÕÐøêÍ=ˆÆ0–@e¸V¤MhØCGÂh°eO›¢ ¿Õ§¨ÂÏV™2Ý;΃°lI¬JF=³ÏU"ÏŸ(éÐösm­,4¢Uò›IRNðróû¯g~wå¯ßNÕ+Ñ)jå)Çónáô5ã.û‹¨7‡W詘@ÖÒ&k~áI\`2Æí³R ©Q¦œT%n±¾%`®†ç6C·ˆOÔÑ©ùrP35³KÆ{(8'©0¿<÷VGô2¾r\´ïfíÈ`–$´9ª=.¨ÚÑKÅŒÈÝë39ˆ. htYNíL ¯îl—?q])i¡SµWýÌéWŽw”DuŠ^»¶ú­ ÿX/¬ïõ;)Wí&8Üž<ªŒÄÏ·aµÕy1Å m<ÕùÔünmè<=B‡Ì c{¬"·Úø )VÞ“R ¡,ê¹sH$ÿ#x×ço€Á×ê#ÞðãšÜëiƒ®xÍV¢ßd÷Ý\5 JªE ÔV>`ô~ˆ¸ˆï|üaÜö?.šJÕ˳¼>—«Ôi³Æ‹Dæg8bœ‰L´Ñþ–°ƒäh5ÒV…UîMFõ¦Kæ‚ìZ¶È×Á„Ö¿+»`þapR>¤3Ëa¡õ°[ÖpÕÐù½Nê®>Àj52ºd±éiÂ÷T†š94•Îxx ªÓ«3È=ô&)s |ôrŒ£ì"àü“Ô“œ,šˆûfñmù—ê¡æœ%^²J{Îïh ›ø5Æ:sIìH©½…Ó¬òb˜³Åaõ-ïÛž^µÕ×T®Šp•X‡×£f7„Š>äãý¤á´­ =mçýMÄn”[w¸g¾PS˜é^îjþiÔÍZFž« zAç;ºŽ“`ªtï扟l‰®ð%_ø¾û9þî yw €yù姺æ¬\>¹néoûDZÓõ2u—‹j H]š¥ûàd²L¬…¤ŸXlÈC/€=r~ÖûU¶æ€1ÏiÓ®Ðw‘oœV´\ŠË»Ýí@ÿ9*ÙjrçÐÊšœ¾Bm6.õóûæ2êØlyɵ ýï£ñ÷Ü–UpÌ”‰¡!IÞÌo©û¨Ö4CçåúÇy¬þ2tÁǼÙƾ˜½VÕfbNE· £¦íÖI}ã(³Šrv~Ë°Îåþ2`gNײaà[o+w»[êq…6å±Ø—­{¤¼¡¤jú7I]–[¦Ô¬"“‹çM(·} Obp—ÖZUÜ¢Dr2ÄÖ¯(Q¹ÝÉ^ ÌZ:hqgȆÖüßä 8xÞè¥3ç‰qóá?­ Fó °¼“z(^u?e6s* V:ceö»¼¢Ø‚!~/€,åžËÃËi›£ e¯lüvrdœÈÌ öðݾª!eTç>Xp=N¼<2Â`-*"¸>ï„3=Q:íô¶Rò!VaùvÔdû‘”rPÝ¢àqQH› ÷tf{žÔ鮪µÊ-¢˜Þ÷eälNÓáWO\ 2枨]œLDØ4™ùËç®ÄY@n8m:‚êíáíÃâïíéþ¯j /· X  j…âñ£ÌfñÚñŠ7…$ÂGвžúõ¯Èä|R¾{bÖAáìῸ 7œÁ욶© ýã´*›|ó/ …(“Çé'‹›ÄØgz׊(gâqžßDH«"˜A¯ 9¾¹ wp“¤ù³L–ýÞ}õ GÉrÄæ9ŠœÌhGòu:‘%·±) ÜÒå«ýnØLÛŽxSò¾£ýBûé-Çsཬó<²3¤åŽ›º¢À˜’g]"ÕejüEÄû'ð]¨q†UC„LüëÿÁ>þLžÏ­öÌ}ˆr.™6µRï £0öå›X]•å!fuQÏ™`Õñ4a¨¨` ›ížhÏÇ¿–Û.ý™\Dú´Vþæǧ”ë&C4 'O…Ð]ˆžÔ^|œÇ»€ˆ`^0>ÿP2wú| îƒ{# ÃÉ| „>I(ƒú…c¨³­ NÂÂ/ÏšÚ‹›[8åHî¿ ¼ÿ—Mtbe¬ºÂû/¦¯ 4:+†Ç˜<™¢âókµô5XèVºýH°,ŽËw—‰)´@œRM!ö.¦± ßï¶Ì‘k.éTñ8Z?ôÃ÷[OÏYEsV°&;Ç«jð2„FÆb-´0jµmïÎ!—H!•Îª=Ù?ã¿ùû¶Ã{M$V‚âÓÇÖ•Í aͧɎöv é©Ð¡‹1Èä9ïý‚ðÝïàâ¿°ZÝçŽa‘Â*^ŽÒÃ?€ôë˜}¿jo.Ú€l,Ĩ“ußÚ¿5[RÃl^äèÆU¢žë>ñ"ü˜ ÈUS! î¦.{«N¼ÔœÞÉÊòîŽTt?NB›Âi1W‘T­Ç¤ó!¨f“ëB"{X§s‚´šÒ,~ªË¢”¦³¾ëø’£¤ endstream endobj 207 0 obj << /Type /FontDescriptor /FontName /IDSYSL+CMTI10 /Flags 4 /FontBBox [-35 -250 1124 750] /Ascent 694 /CapHeight 683 /Descent -194 /ItalicAngle -14 /StemV 68 /XHeight 431 /CharSet (/A/B/C/D/E/I/L/N/O/P/R/S/T/U/V/W/Z/a/b/c/d/e/f/ffi/fi/g/h/hyphen/i/k/l/m/n/o/p/q/r/s/t/u/w/x) /FontFile 206 0 R >> endobj 208 0 obj << /Length1 2669 /Length2 18958 /Length3 0 /Length 20485 /Filter /FlateDecode >> stream xÚŒ÷PÚÒ cÁÝ 6¸»K‚»÷`ƒ»»[àîw×w÷àîîx“sÏ=9÷ûÿª÷Š*˜ÕÝ»WëÞ‰¢2ƒ±­!PÜÖƉ…‘™ "§¢Â `ffcdff…§ P1w²þWO¡tp4·µáý—…ˆÐÀ $5pÊÙÚ¤­,lN^.^ff+33Ï mx¢.æÆ9F€´­ ОBÄÖÎÝÁÜÔÌ Äóßj# ý_ÇBÖ@s#€œ“ÐÄhd`P¶52:¹ÿ j~3'';^&&WWWFkGF[Ó4ôWs'3€Ðèà4üN o` ü;5Fx €Š™¹ãʶ&N®@H`en´qq¶1:@ìe)Y€‚Ðæ?Ʋÿ1 ü] #Ë?îþ>ýÛ‘¹Í_‡ ŒŒl­í lÜÍmL&æV@€‚¸,£“›=ÀÀÆø·¡•£-輋¹•!Èà¯Ð âBŸ  ÿÎÏÑÈÁÜÎÉ‘ÑÑÜêwŽL¿Ý€Ê,fc,bkm ´qr„ÿŸ¨¹ÐTww¦¿›kicëjãù_dbnclò; cg;&Us{g ”èß6 ü™)Ð ÀÁÌÌÌÍÆ Ú€nFfL¿ TÜí€)Y~‹A9x{ÚÙÚL@i½ÍM€ ?ðžŽ.@€“ƒ3ÐÛóߊÿEð,,cs#'€!ÐÔÜþwhò 꿃¹@›4~,æß?ÿ|ÒM˜±­•ûó¿Z̤®"¡®¥@÷wÊÿ(……mÝž ìV66€“‡àý¿^þÉÿ¿¹ÿ%U40ÿ;¶ù“²1±ðü'Píþ›†ËßsAý÷ÒÐþ—AÞ4Í@õŸá×aæ`6ýbùÿ¼ùÿ7ù¿½ü¿ÿÿHÜÙÊê/=õ þôÖæVî[€¦ÙÙ ´r¶ ý°ù¿¦êÀÿ¬³ÐØÜÙúÿj¥œ @"dcjõO!ÍÅÍ݀ƊæNFfMÌÛònenT´u4ÿ}ßX˜™ÿ´rF– ;ÅÔ¬¿T@ÐFý/£˜‘­ñïÕcåà88¸Ã3ƒæ‹•ƒàÉÚQc Û_£ `b´±u€²ó˜Ø:Àÿn)'€Iè·è?ˆÀ$üq˜Dþ n“èÄ`ûq1˜Äÿ “ÄÄ `’üƒØLRˆOöñÉýA >ù?ħðâñ)þA ¥?Ä ü±˜Tþ P¶ªˆ]íñiüA >͈OëÅiðb±8‚ÆÜÑòOy@´NN€|þA ú:YAo‘É¿¬Øþ‘ÿgmþQ€‚1úq€œÙZ&æŸØK¬­ÿõ{”˜Œÿl Lm­¬ þeŠøÇ)Èø?¤œ¿õöΠ•üs”ªÉŸ# pMÌ]þåã·ÚÖùß Ó?AzÓß&ðß& ØÍþdj™»Ðæ_ ™ù¿ (R‹AP3,ÿAÅù1'¨ V¿×çTJë?t{2ý¡âù²­ÝŸº¨mœ­ _x¦ÿ t¯3Ùþ äÓö_§XX@‰ÚýQƒ8ì@¯Íÿ4›åoéÿ¶š”h–lÿåTEû?9ýFÎ@Ç¿îŒeÿ-´uþÉt÷ÿGø?Ä,, Û5€”ãŸq€rqZ›ÿï€qü¶ºü«+ 'Ž w럸A¥s´2p4û—cýZÐÝÏädæü׸€êâäjû¯ ΢qþõÅÑÈÖáßÅuØå_°ëÈ rêö/buÿ5ÆãOÌ O@‡ÿDð?·ª‘³¨3N=| +÷¿ø¯o7@ Ð~qÞÖˆ/È¢6èûCµ¾+Ãîø‡Š]õÏE‡ÎOÈ0‰4UëwB‰Cݨ+ÛbÔ·‚KÄ¿<[êaB[ã?µ={½|ŽUšÚmƒ_˜ÄîŸÈ?ªë#„#`PÜóúeï¥æo ÙÞ!M‘cï̬˜‡ñàÚ+áV×Wº<2¿ûi¯ŠSá¥tš!J5RÇ¿h–"×0s—Ú‰–ý eöön={âX:–Þû$Š­ÀSkƒõëãœÇj¹ «c'9ž.!ä-ú襧ðA’4ÎOÏâÂÈõ?³˜iÁÖGûˆ½F:HNyµe¥Ðq˜­y$FɽÛê˜ü5zá2v•õíhk펑âÒ™¸ºŠKä)4öêí †Â݇9Ð˹DÃÈ»{îm.BÝjßÊŸÖNh{ k›lÁÁoa­4 ¯Šþ µ÷Æ”ƒ&¸ÙãîôÊ·H/!¯ñ챘8±›qÛsSþÑ_&væŒ “Ÿ˜Š‚Š‘ŸÖÈE1{[ƒÁ®WÅÓf§ÓE£=„·$®ºÌh¹÷Ê~š;ª•Â-óìáêJÐàn•0Q(ÅaˆÞDla{ª…UœNÏ•??T*SÃû@&(½l\)8Õ&~>&ºßõ¹4÷ÙÌ”®öéøCÓÁÇãp¨Y­ÌPßæ¦du‚pù[ÌpIM¦¥m~­ÚþüƒüÜоxpl|±±í‘qÊœ()„nöƒ¹û;¤Èè$\3;K“¦0yíŠ lá—¡á«*ñnS¥T™’:Ý/c1üÊ3ŠÍo(ÑånK·´G zâu«É|RFµfº´܇Ý«"kCküÕ)EµcgÁÒ)Ñv[çøHyÚ‚½½Ûc×;z¦ nç-?ÿÊY‘$nXµÙ‹Ò;zèwš‘kš¡u³nžÃÞÓ¬LÆýx²‚Äè°‹QcgâÉ,ÚéÅ)X¶Ÿ}˜É§{ÄTÕnæ51ÉøP¤$µ6T-3 iau§·B©¾â‡±:àIÔ”wñËZ¼÷ýêyaf}rþÒ\ê[Œ¸ŒvH— ¶ —Њܳ‚"r8#ß×Õ˜HÉa:óš,>ïÚ¸‡,Ì=‹>M[±ŸÎeÄß¿q ´Ù-ÇK}/ÜÌ W`¿”äpÙ}úÅÎl.™:;Ç~á¬}‚äªù£')-k7“õ»¶ÓäôÐpÒÒ·Èú ³›ÔðfÃŒÍWÚEBr?xãþýpr€b0bpú^TÒ€œËš¯%^ªSçý%Ç‘&8Ðe¢ ùN¨³ÆÉÝE9ÊÓ38Æ®¿ûÒá7æŸYpuQ› ¾%coa ¢ÑàO…¨0MÚ‡½W]™?¬¹iaIp›˜nZÍDšÊóÃaÁëùV+®§$Ä™˜yÕ]h£—Aò AËbêz¿ÏÚ™ËÎT˜“ÝÌÖ!X¶¥SÍå±làq4ÅBpHó¥‰q#õâÚ?BÌ-@“ªu°ôþˆ#LÜÈ÷ƒE;ëÖ9èy#̃WĨ—‡Ñ6?Ãl)ÝÐŒð.÷æZÞ¯£;H&ó¹%+Gñ»G—…ÏÅ&¦'v¹Ïüæ—Ä DÔTž%Ñsµ#È®e¯Ê{ÊÀt*nÑ·Ë‘)ü­:Ö‰ñÎ=o¢{ñ ?á¹bÛ™¨ÖØS =¨À®ä3­Âlh„ãÅ7ªÄ˜ŠdpÏ)ñ”/=›éêƒþÏ|«ùŠÖB³ƒt9j?‡=V‡¿Å¥a‡âê³é© Ãg+ºÀS¾¯®Þî:*Õ½WRJ/)Ò«âøÅCv#tºI'0 |L¾¿2@s$WË[D­NµG ö*Ü'QŠˆÇà7ª’’8‡­iî…$Lo™ Y¼O‰ê;^&Fšî|Ù¶¨¹ñT¢þmJOŸ¬ž:±b† Ú:õ‰A† Efk‰êc6Z†Ø†¢<=¯Üg¸2›«² §Nö†ÃÅœ¶F•ßòÁ­¯86£½YJÏ»{Müì«g«ƒÒb×ÑEùJU»±"ýŠŠ›­49žèϘҦӆ®$[Ɉ£ß{ý‡U¦À*D;! †xÕíIt}Íûs]ÛâõßòK `"©v»õ7Ìô »UT¢¥Êl$¿­vóÐ~ŒÅ]}½ïÉÑG_½›ßöOñ»û¹  *&² [G¦þU¦ÉÒ²wWö%Gµcª¼˜éDáé <…>å g5®L/£È‰ù˜ O^‡›d†Ë–ØË,»Ûg¢°ÝèœÅÖ—ð´^ú›¬"ã-+*ÃÃU{ú$É;F€B|õwß&œ¼¼Í½V¯ÄÕ;{ç1¢¦šy¹ˆö›.ÓçÃYc&HFÛSÚÞIè›­í(Ã@L»‡‘x–³Zo[?°ê¤sO¡÷“ŽrÛ„ú4Ĭ†oÆ¿ésˆì¶•­ì•aÂCü³\ Sã’ÑyPØÍDÂPì…ÑUï98Õ–¾§@XÖÒR¦Á†ÇÖÔô…ÜêЫŒò;¾ß4.²Ü í·Yò»/„.d+O¸TOŒ}ÇzaÊÀ¨š 0CmšåQ&SÇY"Óö Õ×úË^aŠßÔVKRä¡éxÞ–PعÐ"Ü%P¨§º_×בŠý‘º;ÃI+<†·mº?'x•i½xçï 6iù ¯¶?n|º%íâ Äì$ÇJ‚Ñì >?˘Çùr¨Rh*\o…±Å£úKüHºJ€]ÛN·aéݰݸYäBWÎxg\ñeˆ*·ßÄ\¼GîþZ»lˆ@ßD<Î /‘L_åíS®úŨFBÐ-ùB(/ŽáÝv½¸žqšð8Ѽ´58§6ƒ í);IFÔ”»&˜>•\Ã/jH„ تÓa9Œ2E!²~“X?R‚HR(à}ò«FeœR{¯ØÀ1‚n1«¬ßQH/'⥀ 7å(“°ªIà]R< N+sXÃ…j“_¤3¸Ç–urNr¬&ïguþu‹]ó-.Îý_äíì5@ðêú:À~‰ì.½Ëx®Šó§ÛÞÕ«—Þ„ bõ#ÅÔÛÊÃ#cÌŒñU_YÖhŒŸ±#É®‡¥ ÇøÚüuqÐ 5\¶`+w¼&¾$¶JAÒ' ¤gÆûßm gOŒ¾üäöZY–˜ÈZ[=×ák•D„·éß„6b [¯r#Ö‡ÆÌa!àÝÀÚDkIÚEÅv"#êÙÀ h™ºO4 Wîj{¤eÇÀ‚½Ãëf4ÉO¢'ˆ OÁ°A½' Aœ.·Îù1‚†p}pænõFý«úËè”ûHÈR'GÐèÑxÑK-Ÿ?¢Áú#±()¿»ÃÝÕ$? Ö§É﮸êÅýÉû.û¬#MáA ]wR\ªRÅÒí"ÝÂÔ0K2Þ–‘š¾kë¼,ƒ€1r"™"ßξ£ôæ#¶oùG½C7ú%O½¸1#]‡ô-NÛʦ†–ÛÜÁµr'Éx•‘_?‰ |“ö[þºÜä˜îÍMÂa¶²H~žL:ËÉ©â}Þ´·´ÈèO¥ONÆŽyØé"àòFmiEÏ>c¾ ÝÍY@Àká¬q:xø¶®¡£UÇ ïP}iêGv\:ø_…Î뤉T®ž*â%ðÀ¹‹57›°mš1&'<_jüQ¾?<Áf9½M{+¾œ$8õbåI»Õ%rÿœQ"XÞdÄÑñÖw^}ÓÆ Ã'n(º¡8laë ‹~ æêÖ™s° ‘—&n8z˜¸Jý•#^aY^‹P÷îª]Á¢#ùÇûÊõ¥=ºzuàû¹Iǹ9µäšÒ‡”¤ë® ˜RéKMµË‘tîú“N–®_ÐÆdÒ²,Ørõƒ¤}é†E£Ÿº ÎÛ[LŒš&g²êT!ð›ZùD'ÇrhVÉL|ðWÞ½Ô=6† Ë÷û Ã1'é¸ð|»‚ÕÄtµÕ1j©F°ê¼gºã›ð+7bþ Õ›ŠÝ*q2aWð±ªã³‚Ôz ^ú“gŒ”‡;ƒ±Ã®’ ~îQâ't.éõ©ùˇ Ÿ3÷õÊ™%ÛTÙïñ=<ñZŽ  fŒ, a}úýÁà™skº{ Ç<ð·¥f*H‚T›#”JÉgè ˆŠO˜r„ÁòO¶ü)ÅR ¹»êR^äà\Uï3NØ“–zé36Ì C5õ×[h ºštQö7r±ù´M™>­ø+­ükîþª{"“‚!ÉšßBð³Eu[GÖ­3CÆ9Ÿ½ñÄU ´ÐæZ|ÒÐ>³…«åÕŸáå@×ã³+’Fbç×N6]l"##•Ø†H'Uï¢ìÀjñR×¢~ :š””…Ü ç2Vèù¶7d¯b{…WµR“ÅëˆCãBDK*Ç? M”â~øsË‚G^Jç]J?G”ÙÜ* ƒN|øãŽ,‘á,V}•©‚ 7ÖÐË`iE% Î{±Ù*>Â×`l@èvHÆ°/ÞµV?ÀjŸ x¦üŽë‘4wÜÐOeZ0‰ô~‚«Ý¸E:Vüœ™Ë}Õmñä»z½B{þ êókߧ.‰N„ 7êçƒq=|âÏpÆÉtVe*¤žDæœÕŸ]Ô–±óB`ÁcL “ö³JÍ×M™RÝÚr«å§NûgTY®LEÎ0?ù—a’ÙÁ{kJÁÈh<ö…Ñ·ÏÜ ¥œ+)ŽÃ(Zšóß««€ïÆçÇ më‡9+„Å)ö§YFß©xÒê0« ŒQ /íæÈç Ö ¼cNH¶Ã{;}•½¨OШ¯AZZ{M0‡Þýhàîðýgüœ Þ£q{irW¾KfÄQk«WÔD‰®É胢9Ä›cÙ²F,7ákÚ줵u„_Ú2ŸXE•ìQ¯n†¤W…r|wuMh€ìv°¦£èâa„°¾hw¿º³­¥Ôjù¶ÿ1u0x_|¤Ì‰Œý¾wÌ?ëê a÷ƒÖT1EM‚^‚®ñÆVÉU1H Ë.›€0ÁJŸ5Í.l›}½Ð(üLç”À’ËJ#4ì¹^üp¾mø³:'¶¬ØC‘öÓHI²òO¥]cZâ}+ùSœ…hC ‹¡ÐL×ΟûŠ q ˜×qÙ >wX÷|€d:X÷ýtySçlr³•I%'•×¶%0„aoQz™J?üõ8m¦–.«1W}`ŠpÒ!o«­„“Rr2A„gÞÚáW—C-úµÄ#oè•´Ãk#ÿu™©„^wo}O•›â!´žŸÌÖÚ,N׆æ“f°èH<éCs9¦€IQòRÚº7ZKœÆÈŽíAØ>ÛKÕJ0ЋëÖ'ÛíG¼=nz8ˆé ?zž’`¾ kÏ#GÌÐæln´ç8¶#íç o¤åÕØ…ùŽ\dP{ŠÈ<ü'ð"ašôì¹v£½Ÿï=›—P¬‡ø¦&û:Ì‚2äpŠôfQÖ!Ï&EF‘¡vš‚@ÏeV¶’kèzË€XÇ7Ò,õ]/?¾¹J)γ(ˆ *ãð™ÇGoÖH<ÏOB4®ï¥œ`46¾b™³9G*¡³A¨¤ÛsÄzù?Åñ²>wrá yûg§¾/Õ˜UàÜfB¥‚Ðç%ž˜½üQßQ[LÔ ŽuÉm)N~+AŸø6*§ïî-qT˜3,@c·òní:)íkS„[xøÇW+ð!ÆDÛ[¢ ì†9ç0x™¦ e1f-þRÂïWrzY¶b›óç HüaÆ@$=Ÿ&?:8äö ~k‰—(wSfžEõ¤D,‡…§:Àñr©FDeG´!a)•¦È¹Y—+ôEàAC.1œR›¥‹¹W…ùý ³½ÝÅøOn`S¶Û’OŸÂêR]<.÷Óû/€a‹—ìÑúÅ£ÀÃû”V25ª*· ,"ÄnÚÍ1l¸\ð6Ÿ¹]‘›¼/• ·ÌÓ¤iøŽéãÊ"•{º§Ý‡ŸµgŸgõøI YÈ«9dÖäÐФ>¾bÏ%H±„“e KóœQ¦JEC“Õ&úL¿®7Ѷ £ÓW`­ˆ«Û‡ÈyO(i:§*B6T¸¤í |6•³äвíµ]ÅÜ!(ή œ6É ôÁY?•èþ8û²Ðp<FŸšSž²mj9¤ !ÆÑ$™’½ o&Ϥo]„²?¾uÈÊjYüä4GͤÝ+¸íÅ'R¸¦kàÀ¹=§q‹¤ÞLñ]$" Lûî˧“/šúÅûúÒŸ…«6ˆÌŠfí/1¸Iø†¯&ð;h{;dåîËÎ÷Ó ; ådð’ < meÒ¥öl¦Tƒl›ñ]çL ¯Øâºæ¢¼b•Úí Ð.ʨžJPöÀ•Ÿæm¥æÕtza–uÍçUL#¢´?¯k5|>±!¨üöšÀ‘_UL%ÏíŠ"FC'Æë >LÙÔaR~_ìÁ:!ž³¡q3¸ƒž˜OOr#máw”Þ²{6Ι…¾¸ìËÙjÚ£tŒyŸƒ ŠÉîÊbXŽ½‡æfºŒ¦^ª¿¶àl§ êìKÞ±M̪^ªcëo¶^²œgX|_æÄ(÷Ôªð¶ÿ’:Ùqºã2[œw7ªÿžî„¼Ð¯)Ÿó¯ƒÏâm–oSS£lö}a3ÌžÀ5G§+´†]ÑOâxM9-YÆñjß«H@ÿ(éŽ »>¢&Ò3$ØŒwþŠ¦—Ö0*iÀF¨’x’—•§Õö¤6A¼¦À?†/@˜ì¢S=!iY¤‹‘êLû©E57£¶¶ÔþCÎ:Ï`ï&dZ>wõ[=B²¯±Ô7ÉxT F’%~gã­ ÆþiÇuVæGdYpÿ•Þ^:Xm“ùÉüDÀ¹"BÓç”ì nÙX}¹ýW› ·6£O˜Ø=…êT‚ˈƒP¨rì°ŽÚ;.èCZˆ‰áÆ”X9e¼ 1Z-…8Ĭ;þT¡gÇ Ä÷*õâ¾Ră=.¦+!©¾–ìÝÎ.ðÅ®y6C—™FpVŸ¼t½MÖwXÄ™Øå.y|ü‡„ƒa•aä/TÕ—Ø3âªÞÍNkV—±{!ñÁ|ŠÈ*þöexSã°ƒâðÍ~sNn¦³¯zå 3ßBn€ýàÒ±µmr¸ÂÄúÕ*aÞQ~vvPìÇvj)kÄïØ möÔò=ã¡B3—úB•ú:- .79^ 1¡3C¥¿lô sÕ½‚o ~ÔÌù )ðÅ™L’^ñ)0‡íïåÔK… SÅ|õ²÷Ï®ŒÙœWå·(¬\z´ÖéV¡´£ÇHWY„Éš‚ŸXÐE-°þt!ò*Ø¡ Á™1 },úä8&ü^’´ŒØá¯Ì»2[°äëüò#à¶.½‹š8õ<Š‚[Í"¥k…: k±ªKîˈ¬PóU8y^:[™À „÷Éᓨ³Ig×ao|!« ²øœ/˜‘ viÅuáÁX“ÕTøAÌŽ·$ \3¤ã ©Á½ŸXf*kUsþöÒ÷‡9»†ìPðŠ¼ªÜoi"3÷uèïí6ÈDnè=¶Ž"çÏà¿€£-Ƶ¨#ٵΣ!ÑB˱A ÚÅë ¥›~Gxýð½ ¦ø1Ç—í2çjêyÃÓ¨û¢)ŒöUZ"ü5ð+0jeç|àËŠa7Ã}¡©þ×£ùˆªÚºÖÍ‘2 õx«võ®4ªvŽÆH[S¨*†\â…oƒ"EÆéÈך(?ÉE3uÖæõúrŸÙB0´ö`/Ø"š ÊxÕF¡ÀÌ4<,§­Ö0¼ôG¡ˆ\ŽÊQãò˜õAM쟧¥ÝÊ?„tå,Y€?ooK^¤Û…åê鸖*ù&ÿx»Q¿*’üqÐB5dáñ-E…|´QùýIÇÕ‘0.¹M}G©HuŒ¶ƒÆB¯X#a攡$’‘0'õ»¤ÙÙdQšèõq"h-ÐMªkUTG¦teŠ™94Œ»‹¸Ídš€&O‹¬ !O’PKB£ªR­±X¶Âwë…™_y¨µÇ'CeØÐÙ&]ÌO³8çj=ø”’á ²õð9…<ü“*&Ë|ú҈ߊéÅ×¥ÑÊ ä¦.r#i¾=af'l²]ï‡×õ^»ñí@ÕÖ±Œ!z[Ãn§PºHÔ’¬po¨ÖÉ“ouA[C>ñ‡½GS‡«KrĆRTXzà5'U"óTDÂVG‹=ªl0 Šô7[ˆjÀ^µZœäõy"œ›Øê^öÞ(*÷hƒà5ÑŸßB°#‘¬$‹šÀ3}JO;oáPœáÆ7Óˆ§ÝFaµóš8NsêÈ0˜²y%Ò ¬±Š,ã®Bä`ÃlÝߤÉÊ7_¹†˜å÷Q0hÐ2–´%ÕwíùØR¹_Ðú€˜D)AÚ[í•æq ÊŽ<™á{‘g»†·´^žgN®É¸¢á’éO(,·J#“cTâÆ$JkÌ–Ò2÷qÈI„!,Xëh…×7¹¡ð­7b¾iv¹mGÜ-ö {¥ 0ksòçü¸NŽáõ·WUDhÛüjé,Ò[vï­fIt ²àˆŠQd÷ÛÑO-Ø-á‰qeojT3Ò˲ëëÐMO¿0s5•pv*á #Í ¸§Gø zYpBª‘‰‘Þ²Ý3¡v Ë =JZµ‘¹^·ÿ•ÎIêûÄCZ°an$¤Ë&èxúŽ‰ë.“ÂsÃ3ØU”›¤¼Á¶%ÅŠ”ß;'ŽLÁ{Uî÷&óºöæÄ«ÐÖëÃR¿xî¢5ô휤ŸÔ˪·g‰rÅ Ú\·+SÑ¥U©…ý’\¿Ë¶VTIuc*Âl­ +â^ Ÿ–éŪÏVXæY­°¤±ü؉v7ð[ñ¡TT£8ß&Æ.©MpM ìÈ–2CrÓle0O7âû¬‡!„wo­ Û2SÄáò…{ø‹g:$ºQå†Ö5…ÎÃâÂEË®ÌkÙ|Pàš,AÅçãŽö«,ßæZ(Òs&±GèÂÆì’K+^•c“y\ú­Ž2rõôq”¨é©JJ‹*½bÅÕ6“…z×ge“û$Y Þ`éŒc¤¹†Ü„ŸÅºÞK¿ãX9©kŒ¡›77mJ—Ó1Á0J)f\`¸èêß^,yâó|ÝÚ®ÄbàPjö?¨ž§ã³iµóÉÕ…‡H-o%ûO÷ŠOË~¹ñN!зRUà)¼Ø-ãžæ ,Ê”±©×’ÁVúØ‹Ñ6r>ª¯¸TL‰$N×`7œ4AÛÖD[cµ&g6ZL^‰jYqˆo-7–%Aë/+úS&µ¨´Yí§fOÐÀДÓÞd K\yšä¾eµÜûcÏbOã~k”—l碷üL‘2"ÞÉ\ŽXæ:qƒ·ß-´ÞÃ.ó%ÆVþ*¹~£·âeÀg £`­}z/Df)€ÞI“w”D&tæzEo~!Z9ÐÅG?½>È1¨ûÔzî.<æ|^º'Ö+:³°­2Õ…!yuæ`™«Sh-mö´AG\ªI×ó"¨üŸr:›˜mÁ»‹¶Ñ óÁgÚI”D‘.¤ÑÏGf^KÇ°X”kö&K'b¶ÕW¨®›í“ñm~•r’Æ€÷XÞ[κ­˜‰ø‘›s9Øò•T\ˆ¿»l£Z}.‘¯à*£Ñý«Ÿ3ô…¸è>çz)…CV[)[QÖ'eˆZƒ»ô:X2w_ã¦ys±›õ~1–ÑO­§œ öÓÒV–0 —»)ü«ÑiDA~Å·ˤ/Ψy|FÅï)ƒÀtÛDKµÔ½þæÑ'zó5í1lýY!bÖÅéù1¶ë#ÂË ‚·ŸË µ‰³² Œ¹T,דØ7 Lß×ï¾rŽBCŒª=¾}PH*>¹R¡[¼zèðŒ9¬ô§z Vg`måàr *~•#ŠÁ“ÂôH»QÀ[¨zü¦¤@–lÏСñ$pJ],ÜðqÙ—ø´ó%¼ã«Õ'-Yíɽü¬cüËÌL²_ˆyÄcPüäÆÒÉ‘"`¥ L.#}Ò¼¯Ý{qtä¶2¢Wq- „ ¢!J¦:o활YÃQ,Ù«°Ì…šU£*·Î¨-âÇãQ[w˜Om±Qñª†ço®ÍˆÕX¢¶f–^Ii„Z_h~YÎC}Ä—.ðž¬ÞŽ1`x¢ÁãUqq©„jK»˜&qB‘(q†L ÖÈÈQ^‚M¹4QàÖ0U™f8p2S€&`AkDƒ•Ê1»ãJHßNH-扎&M™ú‹ÕÄÞºÁg›ZX™Ð’JÏ”ð>aËîPu"K«kùFAEžVA¥'Þ_ÁßßÉlŸ\Ð>׸JtŒÍHo2y ×wÙB§ùø¹flÈêp"uO>žäÏC1Øë/‘ùÿb§bêz…£›<Ž/Ä«þ"ÚÞ¯¿Á¾3¾ø)^m ¼{ÓŠÁB+À)Ç/‚’%3–•×·,wê½[?ô³Ýù>ujâ.MY §p4±Îɉ+³O«ìX\„Î8ò‚‡lû1iA{ÄÐ9!þë¬j„å @äžösŸË*FðÌ€Äë½D€}iô1o;å첈WËä'xCÔË%æeÁˆxªì^g8‹eca0Ö2DXÒå"B¯Ûå³½„æ­Z(>K» ‰·V:Ÿ@?úºÒ.þ\ô_ò^¹óã ìÕ´•ûÜhY æTsŸÜ'4%üëLýPâ“è.} éAeW ‹„Ôûxº;"‡Þ†èeùc§Q]ëJ‹NUÛL2Y^ÔïU®²ª_]gãÒ.å/ŠûPPêg€€À^°¸çóܳxûlûaÖ÷¡/g#%Žó§­Mâø+¹ÆÆÀüÅle^êW䨠€ðˆlJJIÛ‚÷ù0Ñ*•nX!ªê³6¶Ç¥ÂeR¼,Z«÷„h„}èæÃõ=å’#*Æ¿hôªµî»(ÝPØò7ÖqiT>lUˆX:÷4OoëÒ2W”¯¸î`q $ËÂzù1I Ù)±õ€ k† GÉö.ÖTò‡hy˜T4àr*`™ ”d®eÚå5ƒËïª{FúôÜ÷Ÿ¿s‡å.¿0Ãlš8æÌî>“Ewø‚Û´Dy¿ªt3 ÙÈq×âÝÚSQž$djÑb¦Ä8ó¸©P4#Ê=ÉóìµpWCý–ªÕÇÁŸ¿!WùWâ¬M1;øÕ?+ †,ßêªÿ¬‚V Œ2ÈŸ pál XEU—ª…pE·9È{ öŽ¦Ý/, íFyJå­ Müñ’»¡ÝlC˜íªôÁÉ_¾—W«¢×ï¥ÍG^mO©VV¶¡émȘËõPšÜ¸1 |°¸\ts ÿ|ç£Õ5ºq0u–œ%L&)úJ9 “.ïýuVU_²•:ÂÍY¦¡j"n·‚”€ÁG Τ.õígòÊyKÕP O'Ã)î½’²iÅzÈÁl×KRp…¥ÀaIv^6“,» ¢o¬ŒÚˆ’z} F)üY% h ÛU¢žb£¬›=qš`Æ9Áû˜GóöŒ{^È÷B”ìÓ ò™Áô`+¸‹ŠÊY=óLÚ·,—Ì+~B,b òâ‹Ãáô󋛈­dp3õÒv[°SÌqoóÓwŠJsƒ•F° Š2†_ÃŒ.rõ™ƒJ©˜1ö>XǵÈL¢£Mƒ÷±v[îÌI~¡:¸òé„UL®¡N£Üž@"3hÕ+J|‰+hIõ½¬ÌÚŽêéXE{VÒöÖ–™Ø3ì¨Õn \š³Üëî.ºøøá–ÔpšàcÐĪOÜ“üMˆ÷–‰àʬ2ìùÒÏŠòàwØ—Û‘ÂFnï:ãÀo#yÎ=Œ†¢A²B][WÞGGÐþœD(91áSKûÈÿÓMÄn3p}û.TÖXÜU®:­J­®±ŸªXò±Ö¯ÑwZÉü=)‰J2j ì˜ùD¢»˜ýôð-”¥B¶Œ\t€—‡­š¾‘5³Ï~²ÿ›â3Ï”þnž2Ý`8NîÇl³Uy*>&EbÃÙѸ‹ÇM’Òõǃo.T²JàÊ)ãß'oz-YÙPIº½[±Ÿ#ñ©Ò; 3êÙ‡—PPã–=fB§4+ƒ÷uÏ!Rô l©K0êz¿Ù†'Iw3•ÊÐ:¹.¥ÿ!Ɇ､õV÷;¬Š/¥îm¡4‘ÄË4´;zÜ+ñQÃyYy)sÊpg/ (ÞýŒ–†Ýæ÷™S)ZäþY†NôD(Ý»4rs²žÉ¸›$î3údwó”¶Ó–,ÜTM®êݵjƒøg>aœgh+g;4JÄ&ñ‚m<Ù49‡á à•º#ºÐDÙ¹HÅÙíçéË ´–!+Ô夤Òc‚Ž)]¶Ö?*׋*–\÷ŒæÓ‚)çïzßÉ<öŠÃXïwuéSɸO1Gû¢B><“9Ärßf1èjS„B€gï~œe‡V}>·5¤Ð:_€uŵådk¤fÇBöFݨCîUH½ÃÐ9ôc¯hH99ãvÜ[ðã23&J»Ñé*è……¼¡…£&ÝÐòÌ_¥ï}Aïû¬´Vâ ÞGõ³Õ7¡A¶ªni»'ˆm ,âGõÚtáæ6ìÖî·yE¥’ÀÆCŸœ ™núæ$.,©C‘Xë«« ³ê³ØyBg¬Õž ”ˆàÍ•€qÒxeÉQÖsÅŸPªû•, Nð-3r?¢Òëµ¾ô`G–|HèÕÕ`ÅŸª³É}|¯ëÉÊók‚8ÏIRö¡ömcÀÚÑ4zÍewKx"pxZT!à ONP“ª³Y$x7‹@àl{ AôY®-úEü˜ói ýGü­µ£ó•Å—’LD¹Qá·³ð.—®\çØj= R-FŸNÇï%ãcÍÓ­>)k)¸bS1„Ãç—C¨ÍöT„ª5›çÖ½ˆ|xhI',GÇóü‚oã°vùdžLú³ð€³èÚÖb p Îãòù„?ü)›k¥F•aÒ:„ÅZõêOhu=$"b,7øôh”ÏÐÃ/y&BCê—Õ5ßÓ9Š»a¬™™‚©2¦M7ÆUOàÈžûâ²ÁŒ¢Çb¢ª/jaß…8ÐsŠ 9"6b:»úöåœSEèÇA“H|s¿mî´-îÿµ_KEiùÔGkîUÎK­øóY“3­@‰Nãûg¤µ¡ÍÙ?²*]…ý‰OÃ|‡J÷[°¢ŽŸ‰•f¬—XÓzÊŒ¿*7Öó‰Åìä{yQÞ$דuéP’ÅúŠÓÉsñ îªúMVb†L).aÕÕ¤Ã>—קÑ6tºK@æ«šxͲ…–Z-CŽ«|Á–@Ìýlyôg8Žêò Jj;0B…û¹teòN|Ïï]¢@×iÓ\C^3ú•cç/˜˜h©ö_”³ZÚ¾ýˆùÙ~‚t÷pû–’éÕÛHSÞ ­,¼„ÔSžàÌzó}Òžìüh³ýƒ(k¥ÌŸ¨µáÂ=?¦ä¾}EÂ0þãl5rÇÈ’MÝVyiƒì“hô|IÄ ´†¯ìb̯Ž}¦CE®Èj§âÑBjkð.±JCÌÓOïÅYh𚸞—10NÍ‘¯ß˜C¯U´Í‰F½!a¾ú‰@”Œq^ŸN C.»¬Äý˜³•x¥nV·ñKøÕÓ5Ú½'FE!çPS”) /Ð!÷¡I<³ŽAÎß›^2Tr f aŠ Êô»¨’ÅJÃÏ b'?tO%zièpñOÐyG€ÎˆÇ8ò+•v¦Ðî'@²ûærDïg rËw]% é•*±³Õ\åH¥ëáZO¦]æusµ†SØg%irSH£mŸ¬ª{Å6ÊÑ'ŸxòßCcr“mÃXÐ{¦ÕÕL¸Ø§>–)&sš£ Ó»ÖE$¨3h`E’¡Qg‘Z[ŠTïLŽ#.è°\¼¶ï}Oô’D™ÿ˜Œ’õ|2­äcå} t0Ç[>afÑ—&Å€þ†¤£â±Â’Ž¾}°TŸÞY‡v¥{™à³À#›×˜¨÷€C·£¢×aÔèB!„CöžÉ«§)ULÞ 3å©9MÀ•ý¬`Cê‰ÜÜ·Ë;¹{ÙÓñyî õH¥Øë‡ÿ`¸ð}ÈrÍ/²ºXIH+ÁùµFä2M)e=2vV”*0ÞdÈO÷`!{¤|¿.ÕÂ%G½l“1¶ê°Ý5ùŽGH? 5àÌ~{ð.—eåWTçî’åW>Y²ñ½Ë×9‡(— ÁøؽV6V,§U”eþž­<Ês«g^Ät=Ï[ÎqZvŸ+>îÍ|w;ÀÞÔº=×,d'àg˜¬Gߨã*Ì-¥2yyù¹#ßPâôÿ’! ø²Æ¤ÆBà æ:kz|s^ÃkÞ8çQ ŽY˜1:áFÀ:K=SäJžÌ› &ý]Ø}RUF¢æQãö(£pyÀs­CC_ —WýrSœ©¢úé4²÷/+0¬±{°G~ínòÌ2œ„rîô=©ôžy‘h7]ß5œ9ø÷©°vÁ­Æ†Ò‚Ø}¥E>t™õkbŸo¶É÷nÞ!¦Úu(£¯ÆïÃ*¦‹0Äöí‚!T îJx|œéèIWZv( }ÁM¦„‘a{}FâƒÍ{Ä‘€Ç'ex¶àF:ë¿«ù²Oº:B]\rÆÁjiˆ!ii¸r/H›vŒ¹$ă'Ü?¼ÇÆl•¶ýDKT‹ hè¯ûåYHÁcæžË–Z`½Å‹ëW02‘8Œæˆ2pé€qó¥pÝ®M•ZîíùI¯müñþz+Ëï.ù(KÑO:6Ú<@§êµ` OÛM¡¸Pk$ÅÃ\m_—ǵþ+WÜOïÆD…ã^=ïZ5ÒÔ™YÀµIö‡¡âÇ“™ï7J&A®(÷F1ÉYlÇK·r©ç¸ô;Iç6È¥ZþV6}N‡uœÀÿg¼æPO¬n6²VøìÊ„ýT§hÛ¶wÊzO±:7_ÂŒláéäM2ɶæÂb‚íÄú$cl[%Én”ÆlYCĹ<(ƒî?4>§×ïKÐEá˾…3’TQŠGìkÔ”J–Ìn• ½­1ƮЊʠºtœÒV˜‰KªÆU*íS¤¹ŽÎ2¨ñ£¦ÐÖ»ù!Á  õ|7¦j.Xß=M¬ á Ù+C`aÂ+~ønÍ$ûQ[5PÖ|Ð%dåíá±e„ˆ¸gµafQ12:˜#¶7ó=o`Ÿ&S‡aОk冇ʧ%ÍMów·5½-(—òÆ"”Š‡¶Í´5Bm"ñÄä_óRJ¾£ÅPJƒ}Ÿü¡Ã_›±,Ä“÷¹ c:Ux ¿ BZ, ‚;^œ`‹º¦ó¤ñ5Ì@wÆÐo\ýæ“$ྴCñ6³¯•ŽFûóówZ産¨'c{ÌÁFêbölxYÍq”‹Ná—:q3¶Ä¤^+™¸P¬X¡L.…ÜÊ•€Pöwø®kGU®õ^35<ØŸÙe¤ü /{lSÉ(Åx¹kôu+„A>E^·´¸‹/˜º~ƒ¤YÔsä2¹¸³$7·-:ÛùÈ™â´Y‚çu!1àº"<–¼{ßòŠ·—'·ÛÒVâ\¹i²gy¨”gD÷IeOa¥^:=þiºvÞÎÆ)= ˆ Í Ÿz»§y¾qCÔ½Ç6ÑÌÚu–*7ø Êë).~Cª½þš-<·ìWðJ'C]_Z«Ø)~f~žëø°ñN¥0*Ûüˆh%±ÁÈã–‡—i%‹¹ªÓ 馽–[^êó3[÷zLöÅi:[nõ'® Z—á² Ê@)ÊÿY2ÆðöÅÄNVÄP(\ÀÞûI)au›+”è!óky+‹CûÞÅ2䟉#IŸù9®•fœh>ÍÖäÌ%fj£7“°(Ozhê«–Û‘)IUŠ£ç¡;zìÈSȘàÚéKûC ¥×5P£|ý“I~ŒWQÑ«ô5}3i`§·>ј),yñr]-—Bá’LÛq;BýVH=aî)´h 1HKr¬ÌãCGÝ éô<Ãþ#¾o|Ö:Ó€m×<Êõ‘Háƒ@Ý28èµÍó¡5d%Mf9#ôo;ßµAœÀKMœ CRíüº´`4êfÙÞê&ºÂ¨f,ÁïÊêní±D,pˤ-©Äú³å‡oú'÷TG–áŒ:\Tƒñ’ÎuúK§ßÏ°eÉ^]5ʨº\’òÛ55$-ŽÄû1¢»\¨q0ˆªH†k"j©ãç^kO4/ ¿$ álÚNÐiIãÐK†µ?›Ôò¯‡ÆˆcÂ;’PJž O.4pÿäöÝŒÕ-vD¤ ` &vó+eeêÄGo¡)ú~Zc‘ËYO¿f–±°•–×Ûuäëáøb*1r´ùsFU‰Hƒ3ëÇ%Ù‚*oLè³Ì2N›ÿ'-ÒñBÐc¡Uþ&+p‡È®#FL(uÉ;HX¨õrðJ›Pž˜^Œ~ܯªLÆù—6x^â‚r¹­™hLÇ;5Ô"!<¶K8á®çˆ(i_ßoƒ‘íU×Òp®é]ìÌ=@&¢ OF3 šâ¹TÁ Yë Y#iÿÆÞ4ó–W *Ù„&êaß{÷zφÃêP¸”“’®MPÌ›2Ū3 Õæ~%ió­•oß]fÚÏ•†~ï±ñkõ}… ~­=êiLàÿ,™°#ÁAÓƒÂõ*#i¹ æðÓeç®2Ð<­ Q ÑZŸýÐê@nBÏ.¬¾ewqN^¢$˜—·Gý/«ÿ´ÿpWN¬¡Ô¶.õɉõhNÙ“®gk‚\îìÎì%qü,=y± i²*dLÎÑ ¶ë&£~7ÒÞ¸´'ª%£/ïzxÉ|‹*ë¤}ž«æ8_ˆÓé%Ž&³“=ÇÝèŸ(V•ö¢úÝYV&þ¿YÁºñK¼Ä÷ZKŒ_;ÓeœbS¤Pá—ß—eëûìIp†€xwb£A:è»ôËMñÀn.Bb|Í—ñyêAò&ƒí0ÜS÷r-`›÷gÞ‰HÕ¦@[z;>ÆMiÊF—T!¿vžŒ£g©p/wÙ™®ÆŽîÄ?®! eõÙ'a¥9kgèEšüÊOÅIãQîa9ùÉ1ß­Qjtªø2^còŽ%¢LðcÞ¦¦÷šíkŸ9göà]ÊôT­8¢ ]Sú­ìÊp†5Iæï=åµ Â ýÀ'W0Ô·ŒÅ8ö‘—kúežsÀÔ96Öîù$_c>‡ß«=ʯDoð ‹$¢áçaÈ+j@ž~Z³E-”9E~érßç ­6H²$Ÿ=z±&êÑL®RŽ66¼¥{y³½Q!B+]Û¥j–ø¨›šŸL¤u[¼?üÂÑWŽ·,Òi?Ý5›vx¹œ… ÖÃg‚lœ14èk7øò»57™ú†Wk°<›Öpì»ïCÝå[RmËæ‰à›ÓØKÝv¦]Ï3žæ‹'ð3È|¼éAP\×À8¹Ú±¶}½ OOÂ7Vî¼çpù O)hæÖÅEÈ*}²òáCw^P–Ȉ•FÛš‹ö®Á‰›B‰MmdÛ²Ec…tà Ø{€ú-ø§Æ×5~V?˜XÃ×B%¬JH Ês½Ê¢^ƒìN¢ÄTs“ Ô˜}[©R&T-**ÀQ¡eþ[ä€&…7ôÇ™G/‰<Ïò'ßÜW\ðÈJÙ©ly¯ò²”‘&ôÇ®ªÏ?…5S–Ãó ôس¯Ð /áC ¾–²Ñ ÏB,Å‚°½ó&ÑLÉ°î™ ~=Y¨™%^÷6®§U¨ºÅ’iK´ãÉk2œÔ.ê`2 n&íD¤øý)5ÝécE/¹ò~•?-Ÿ¿ÑoÞA+7WvŒ§[ûÿ¥föm»˜x`˜"6”­ý}I†wñÐG¡*åäêÓQiЙò ÖQ&!Á÷ÎRü½d*úQ¸-3P…z;"R~{½ÿ&yaŸÊŠ…•=[u±GÛGŠ¶¯¯Èü,Èr…`sY"õ‚„«TŒ×jÂ×Q D˜þ_³;Ã×»`¾:±zy^+à®CtÇÐk6CõNpw°G­Ÿ©†½D–,°^… _vtð' 2Ö[lü*¼fÓ† ¡é4íâ…öýcÖŒÌu@á"iVÿps Ÿz_ùÊWq Äg‡D\ÇÀ™ ˜©“—f:Ú¯ÍN·²´ÍüšÉ7xg'Q„èLD€!¼¯%M¯LâŽÏ‚~›Dº¬½¤‹TÕhœñ^â‚Ñ„t«ýxZˆÜ³Kš;Ãfh!­›N?ÔSL)íÓÞY1Ì\ë&î÷¥’ô„Q69ÄæÊ¿ÿ;‚t HØJ]®Ú1p†×D„}žxü„ä—O[ à÷lX{,ó™V4nÆrÃiY :‡ºõâÃÆÎëøø¶ü-è%ÇVȈrsAð=:T¨aUm‹½¨4£n„󴾃ÿ¿QìÄ–È™3ýí,+ô„.”©›Ë–¬?ÿ@óö©›2PD3Õã5ÃøkÚÂÍqP™·äA¼-ëÅß²\Ðb¤ŸWE®`Í‚ ˆJ³´ãº¶,Ä™Ìã±,'·¹ó‹µxÚ.’:l¨˜2O;Iࢨ ŽuˆóoªçäBºkŽjÁ6}?¡œè©Lo¢žÑ?Ý{górojŒøÚ…#’•[:`h‰°¾Ì+#Ðt—µ!5öØOz±‚)RiˆÁã¾ÍÍoû kÇ5£ô,åžj†e‹*ü¶ñPm&,ÛM(Z/3"ÉhÞ8*¼~õt¾ÜcœEŠ¬l3Î*iˆ½Ê×+çø¨]•gQÊæá‡Ô’Øôû‹%kUªèï s–…wZ!Ì:+«DÚª(‘ŸÿÓ“+4gîBO8„NA-Jø!LU`´P«Öwa5ûÖæpj j÷V¹B‚Ö]î˜@Àþ‹y~lœ­A<ÄíAT<õðaAQoÕ¼y7j¿_âÙ©'z3ïΞt‰¶‹ÒÉ"° c@#S€s[. ˆTo˜5ÝV a~8‚_á}aâÍÝæ\Ûåd-áìüK;‚ 0•/ëN©$ÎrCS†B—z{wB^ ÛlFšÃÀÞØÿâ!A Á¾Á2$^G µ~â3× ÙÖ©®¶ÍÈZðJ×bYÓü37¦” Û¤ƒe§w¶Mç!IÎ9öÚ:0ö¾MllI_ÿà1ع‘Ÿcø±ô :FE…}iñ¿¨¹ÿÕäs÷Оçyr­$ÐyP¾ÂÁÒ´í}OŸ8îW¦Ü!0,]·¢ÆkŒ" LJcé¯dhüæ)°Ë¡aÿ_®ªK¯õ“¹M’$6±± ÷ÛEÇ÷ýÆZ¼âJíO³ñûJ-%ÜlX_ͣΠ£Âþé# ËÇ—Ñ.´A-”!Ü~GîÑ»ÓeW"F‘¢¬4ÏYh÷óåJùï<÷%ÇYVÝe-à&_ŒhFowÍJ™‡¦ŸQuÒêì¯!«¹ 7Îpäï7 ɤÉ2™\Kø9¹“±ˆ"g2Ò'÷†zJñgW™¥ð„¼ÄYz¢©Eœ× ÖT’´‡é“Y­Ä¯Ó4j^§‰:4Ùce>#FÔeu¦F®ÉƒßïN¶ JšÝÀÉé‰2…KÎ$}µàãÐÜfcæ7¨`5,ó6š`ø¦-wXÛ]N|1oNBdߨlÉõ¼‘ŽRQÄ6¶Cuæ±B ÅR¥¹sá•8ÆG—˹NÍÝŽ”l'¨|éaàÝ•ýóÀ–.ædÑñ räɘ‚ ±ÃcWÍ“°ÆÁ/ðºå3ѧ9Æ ¥¨o^ÉpKíµþ¯MÑô.è?Ò1¬ĉ„OPóÖ–(|…n|ÄØgLEÃëÏË\´çèl }“Äbmõ¦<½&Q¬†ƨ{áD,_c%¶çö“ T¸6 ͵ے»ÿ›ä/{q”ÊS[—â()Ĭ“‹z`—BQ}ùÓa ¿îVXc‘#Ñbãå¢Ã³}¥ä,ßȺçqÆ*ÑAµ ÂçAYZ°O°ÊQÁöðÂ~š[d6*ŸULl¶í ! endstream endobj 209 0 obj << /Type /FontDescriptor /FontName /WTGWZO+CMTT10 /Flags 4 /FontBBox [-4 -233 537 696] /Ascent 611 /CapHeight 611 /Descent -222 /ItalicAngle 0 /StemV 69 /XHeight 431 /CharSet (/A/B/C/D/E/F/G/H/I/L/M/N/O/P/R/S/T/U/V/X/Y/Z/a/asterisk/at/b/bracketleft/bracketright/c/colon/comma/d/dollar/e/eight/equal/f/five/four/g/greater/h/hyphen/i/j/k/l/less/m/n/nine/numbersign/o/one/p/parenleft/parenright/period/q/question/quotedbl/quoteleft/r/s/semicolon/seven/six/slash/t/three/two/u/underscore/v/w/x/y/z/zero) /FontFile 208 0 R >> endobj 210 0 obj << /Length1 1516 /Length2 2667 /Length3 0 /Length 3621 /Filter /FlateDecode >> stream xÚT 8”}÷VøÊô"KT’ǾÄlö%Ù…¡,)fy†É˜³KD/’ÑB¢E ©$"´P!K“%û^ö0JßCÊ×ûÿ_×÷]s]Ï<÷9÷9çwÿÎ9¢¬£³†)Š­¨¦ Ž4Ìí]\Ph‰Ô„#‘h˜¢¢ ‰IÙaŠûA:ƒD¥üÃœb™ÍË„ˆöT `Ë"(M¥c€Ò5@"4©ÿ‹H¥Ø@°‡¶T È€)šSiÁt’/ªóëPÁ«(}}]õåpÀÔ¤“ðX `eú‚þPE<– 8Sñ$üG #_&“f€@°Ùl8ÖŸ§Ò}ŒUÕ6‰é 8 €%ÉÀ¬?¸" S\|IŒŸg*‘ÉÆÒA2Ix€BXH ê€³ p ”ŸdÌO‚:°r9 Žún%z)‰²ŒÅã©þ4,%˜Dñˆ$28XaàÌ ¦:€¥–ˆX2ƒ Åc±$2–Ž¬L÷XHáŠ>žN¢1p‰¼¤±”ºfK ÁœêïR˜ ØÒù,HtÝ{0b¥¹~*›ú IqIECì£X Å 2ÁVm> ÐF"‘zšš€Ax_ÄR—`¸ìD-™! a¡4* B2À0„þ`¡ l 0é,0,ô?" Hx&€}HØjvÈ b¨ÿtRp  @.ý~¿„&Œ@¥ƒWéË-FØ»ïƸZìX‘üÛifF B5P€ZS ÐFk:úÚ@ØŸY~ëÿ¥}Ùêˆ%­œ ¹šÏ†B¤ú?%@w÷KFàÊ\¨¬,*ðg…=ThšA@euø=‘ÚH<ô@ýÏ+°òÿMþR–ÿ:üÿ<‘‹L^ö«ü$ü?ÖŸD^a@ÓÌbB›aO…öƒòOª+øsíA‰åÿO¯  mˆ)Ňüû"I +RHp$1ñ¾Ëó« Pv2‰:R¤¥ï  B"ÿáƒVï}SP³–] ´QV´¤à©„¥ÕCkëX: CBó…ÖÖBQÐŽÀ åÑp • …º0€H¥Ã–Zª£ Ì—L?‘€°XEúÂò7ÒÕ6«bîYEÓá7ÒCÇU„N«Ê⼊´„Ë2úCžE§Cû¾é¥£ Ö'9ª”¹kXÆÖ‡›ùä¾ýr}—¼;Ã$Ã&Ô­lRy{mSó¾zUÍ0T¤˜¶ß˜S#^&–”uf’;ž™Ç›Ð35ßrdþ*Í$ÍÖúaA_•ð4´YS3SòåU= *ï‚zùqî©Hâ„Ì)·ÙÌÌö«µ¼Ñnùžœ¹h#‘¸ ÍVµÛF•ÉiMÇ,èrj©ì ^Fq÷œÄQ/7ìþÌ~Þm–œºW¡pºCm:Í´¾-v¢üb[ëtÛdcØ.½Ú«£ðø¡»ÅÂÁ¢öd.ïCfyUü'Jâ—½áê;Ë+öËrËàµn½_d;ÌÝX;Á+‹)˜OëÍ»ävO*¦ns›@@ÌyßÃ×Å®x>4gå®uhÈìKò¯ôì¡"¯ç¸†DA5Ï<9œIªòàxJÓbƒqž¼©‚Êq ó}::Šx1*`CD3>6Ó¹Sÿ“°ÇåKE79B ø.q¥öSƒ¾soî§Ï´°Ö7mÅ\Ñ?É “º«" ”H9ÉÍ4üÞs­0 »#’ÂŽtq†ñd6Œ«"ÒÛvSj¶Ì·Ú²3dEÀ‰]QOÍl»gP™23o›%²ÀØ~£ÅçvhX÷ËmÊ‹uHAÌUÒ*z3"=e^ ˜V$HÙz¦º4­˜¨Ôe€Ñ¾v¿bpì©Uà Օ“+Í#1f9ÒÈmˆ;S<€$Û µfñe5Eâ÷i˜yåœ+ÔZ‡ÑÜt=:¯Qˆˆ[´’ôš+vx´Å5Ý~_áÄ_¸6”¯yç¡îÓË[Î…XŽVq//„ŸÇd} ¯’;} £ÑÞ‚#8/€›Þ2øí 6h=*±{£%µ«ã‹¹èùœîÖVI]i,¹<¦-;z­+ô딜wÅl4’™µÌùq”a¼©†­I0,7=gbwß.±y`ýv1]³aöÙKg©î¾×\`¼Jœi[ï•ÄTwË[Jɧâ32:n9o?žµeUaí->%’èxºÕ³3¦ðU\6¿é-÷¢ûÚ¬º‘tÍÄÏÍyû+¦œ1äôyÖ_¯0^Ôd¶ÆØ\zu^£}¯ºº3?©ÂA¯z«ˆ…­x²ÝÚçm’_°|Ó™ÜÇ/‡ïCòˆ$K5ÔJ7¨{Ѥ…ï*\Îè¿%)’sLÚydF3&whTû͵ÂSWm'“ø,ä?½}¼ñEzµJÃy'Æ,…“;ÞyÝ~­”ŽK}§Y’d›á}E6»ŒPœûœw';j=*Ä<¬.¥œ ;lòýo¾ÂÙÆÛD~z­ÇµyÃyž\8§ÓBazGaWtäë…ÎR'$‘1ÿ2PÆù^:™æ] =ÕÄÁÍ"dl%û¢T­ÊdÜÎÂ8#G5¶µ·òËÓ²_¸_Ö¶¨ÿ”+&fŸ~1áØð<µÆ6õÚÁù€uc{6=þF™Ž_¨~G*½Á 9Í1Üžr°47ñÜHƒ@‘ëË\˜áàßÄç…Â;·,àÝ"ÒäúäÅéß÷ùÉ )²ê«ÛkùÑùpÝ¿Ý%xŽPZúºÕ·x¼é<Å4Ú3p3R?¿ê¦R»qÊ·þ™vÓÛ·Í›D`]>4)AͶ¸^3øv‡·'J_îŒ ËDYäÉuLØ›XqÎUúB'u#U=e§ÖžÅ‰nêËö dx3¹ô#aüÅÅ#xyHÖÑÅ ùÅ£=‘·YnðÍššY÷UàˆÜçüÇÙ{'& Ë›½­U㘠÷¢~ðgÚzá;y(¡¤Þ½ìÕiI¥=9œ³kÒep²ù5 8óàYOò1yª÷Õ Ú—0NðL©®øÓlÇ ƒ†QvºZÉ¢2Aã¾GyU½Ð^]Èó[váôŒƒ{d­j•®Nôd¶×&ÎÊÞ¥~/0-XûæSSvÊyxi- ]_¸scC§Ø&‰ÑX½¡On<›ÖÌZ£êñ×Á©Œ/ï][YSã6/x,DøKF%Ú$4¯xzÎ~ ( öH¨Óþ>ûA¤¦k²~¦ÛãÚ΃j> ‘»Ì£úif@ýišlmþ]‡î4vá¥o§n½qÙËÁl½çûfXʳ–×™ñìD”HÅ\ãm `ÿªÃc<ÔŽ0xê§\RoˆPy>)_üÙí²åæ]þÎ(Çsü±ñu‡+æòmJ„æyÞ*²îM­¥áî°| ]^i…=ºšæë59úáu˜ÇX'ý˵ÉÃçR>W¶‹Ùï;1xî^îˆÎÉ°NÔ±¦Pµ[Ï'ŸÍú(ÃŽ_ÛÄ ³h¢QÛ’ÓÜ/z¸8ý6ûEÏ[“žWß#H&ßûAw£r[ÌÌ@ν©SšùÍ2*„þéR­§ë«|˜‹OÔ†ÓÇöGo!œ˜·. ´²ïÉl• KÌR\k|#ÆÏ ;úá0ꑳnç‡…Ó ÅéqÜ÷¼‰ôMoZúöÝô džÎå–œð›oØýcúœð.úúgÑÜŠºÆ®Ý9eYÏœm> endobj 212 0 obj << /Length1 2021 /Length2 7330 /Length3 0 /Length 8528 /Filter /FlateDecode >> stream xÚ·T“ÿ6N#!¥€H”ftw# ) ŒØ`Ý]ÒÒ(ˆ€"ÝH·¤4H( "”€ðN¿ßßÿÎûž³=×Ý×ý¹ïÏsÆ ­Ç-g ³+àHn> 8@AS__ ðüø,,ú¤#øo1>Ëc0AÅÿ0P€ƒAH”L„DÙi uWGŸ€OXœODðbÿÂàâEÄ ÉP‡AÁ|˜³'bk‡D¥ùçÀfÅàáúísÃ!V (@„´;¡2Zz0+éùŸl’vH¤³8/¯»»;È ÁƒÛJ³sÜ!H;€.†»­¿´@N࿘ñà³ôí ˆ¿äz0¤; Ž+0òp…ZƒáTr€žšà‘3ú—±Æ_\€¿{àãáû7ÜßÞ¿A ¿AVV0'gÔµØ@Á€GÊœ)ôW!§&ã‡=.&±áÓm·³×–pâ± ¿¡+é=‹|^±MÂAûÒTìÄk!-O/Ê`µ0ËSyÈ­€;Ч˜ õ&{lMŒÀú–w⽧"î¡#„ž.š0§|ÅHf«—$uà„è×íVµTômh)N¹ÍÁ Y¦Ãè‡{aËAÊa#¡;‚æ~Ð_lBLÝù8¶~X¯q£Œµ â®ÍÝKs® ò:ðnÝs¦‚9LEþš•Ä8p—e<§ˆô(×ZÙÖAeY~]Y†÷5üî[M¾3Öpöa,ážqê)¬/ÖúUݘ—ªV†è§é¢‰…ž™L5wtû‚8“Ö1`¹µ ³{þzõ ­'&_/ö¾•InÌ0%ÐÅ'³|øúMò-;…LϪN*bêUⶲM'“¼OíK) 꺦—hbsR„jÂÚÂw‡+°­Ã螣½fÊ ¢}š+¥eÃ+ÝQ‰<«å÷¸^´±´¯+Õ’«Q´ÊT–ôÌðSá\?ÛY21Éán"2ì-v¤ˆAKÍ—~‡d2›N]“º6U_øÀêÍÚKœ«W¿gj‰p…—0%ëÛÂËâäžõ¢;ÙølÊðŸU|vž•˜û|°5Öìï1Ô´yt,îצÿ´ÇhîaÇ'¾DænÞÉ`©z7± gQ Ù-LŽ,ú0vß%PƒÑåËeÅ»mGäSü úŠ áD2»X0ІËï¸Õ9fùÁÅÑùê#ŠvýÚ[×V1åL5r:ÚÜL.ô,°3 ¢ÌsÂ[æóÄ?ª~âQ LÁш„z> xtèì¯ISiý¹$®7>f<Ú/ÿ0s*„)8 ?Ë*§ñð4䶱¡ÜÆe æeØ[ld+5Rïx³P@½¬g¼íJô3†õÃÈ®p€Ñfñ–#gŠÇ³#Ò¼šTwÂ>PÇàGÇD2ŒTó¯I,Á—Jµ®CB13O~Exsàk€dŽùJ!…~»¹¦ˆý~}¼ÆÃÒPc„0+ù”õCߪ ZðËËm2zYì¦fÉiDŸKt U)iYð”v¢ý/dã~Ç)ì\K;f5ïcQÊz–R‡ö’MÝ•0FW¤¹°¦ÄRáܼ֓|¤>‚&2ùYävÏ×1*†°3hfÈ;ïSŽSnW½;ÉÇ!Ë.—˜9š]ŸJïø8樗y™ùUÀâ öcù+£xmÒó]sßO¾,_»_®«=oøŠP˜Ü×)!c­5Ãr+,S×<{Æùf.Ëô¥Ç¬$Ö± …OD8äV©–Ùñð^ nØ|Ÿ×nüL²OËÕðò’™L·ÉhŽÅ±ÖÌòú窚ðQ6ö8.Ï‘)íÏéÜÔWžÊïïàOgι÷À±ºn¥HNE[±‹»g—wÆÉP–ä0PäŠéØ Ásµjš_ odŒ[¼°X3+`bæ©®FRPŒÛÚ™î€b-c°Z&<±¦«ØHý•î¹‹F˜9Ûàº=éŒï×ßÃ+Qáo!ȼŽ×e\à˜ß~ÓS”w aAlŸ·É¸è©ÅÇ«ÆÚîkŽäoº YjÇn¿ìz\E1HoXd8kzâDö#⌃€Bí¤ó²Lõxl]Ù7ß¼a×— %lƒ‰¿·­ð9ýìÅ®´i®f®ãðì6yYäCƒPPð‹G=Bp¤¾Å}·Â¶œåQ¾¥ÛI-ãÄHÏÓèG*|×¾“€™Š‡œ"B³ë…€”áµj£ %—ÕˆÕš[·;œª_Ñœ]r›Võwô¢ïé×^)…æ¯È­ÔyŠ~5"ƒƒŽ3Ï™ü ó1[ïµèÒ5NsÀ-ˆÀ¸ ¯ÈÝE¦„Þš |©mìµDÎäˆH‡“ùÑRž½Ûñ× ‰æŒKRr«×­ž‘˜Ç~Md›¦0Š«: ôùÉTÝÉh©¦œó=}sårÜþI1Þ³•ç›N¡út´ý¦e*FÅÞµØUË^‘ù%ù¤'ÙVÝD¤Õ—Z,Š±”˾%ŸgÙ:JÙè4›¾ŒŒL@.ŸçÝ"yßô¸Úuà] gR+B4Þ÷Tsœçc<Œ^é½l÷Ñ%ÑÑ-Î<; pNwëš8çUNîK•2ºÄ÷ÁÑ=Ìq3ÙøyV}§BÇ¡ýeZÜ Ü/Õ“ ßš0}¶Ù†ª‘—§GS©£“,fÉ)Þð†ówì‡É1áxêdL8:¶'PsÝ­÷;ãZW͵5P2ÔŠ÷c¨L’”Ë&ýfLofÚÚæTvë¢Xð¶ÌceI.úÕø’HµPM¾6WçÆ\ž]ü.‹Ê[ïoícÙN“øfÛÊ^RTû }_:òü5Ó)ªäÜ<ú;Òoîñ[h>KÚšs_Çs$b4s½Ž¶Þèœ6lÔ,Y{6ôÆ;mu]¢ä•vçv¶³×c½Ñ71þÍÍkD3,­-e9j&³8;‚œ6ûC‰âbQø>Å;O9Z´S¤_iÙöb ÂÏIƒö×渄›ÒŸÈ­x/n¨üص-ë+ÇÒkù’ (_Ã,ñù$•Èú,2u {Bƒi«»/S¦¼Jñ‰X‘í}ÚŬçâzÏl“4šT®j´†ŠpñxdÎî'A>797,I“®Z†û“±]Ý—ˆ72O&˜!¼ ÔýÔkC9 ´¬–ýÔ`$=ÊqL“RÓ.(€zBèp}ãßw”&h†Vq;;œŠÒ¿ 7úbE^‚`§ó\~¢Þè­msÀLQß÷å‹­4})öq#Ú¶^Æ´|ì;?6 °mS  LL—óñcjV‡‹,µ™ƒn¶e]Dî^yçLON(Œéµ¥uȵÛÛð6“§þ'ž :žYñ/xµ©.™+R¯<Тiwq¨0KC€‚Ñöès²OÊ>H *(G¢Gîq¾ê亚 QC·Ûî²:$6þ”"jÜ_ø!n!nÆ3ÇRÉ·î%Õ½³šüpæCîyÖÜÍž¡;”g]Ño”±’ÊÓy™ÖŒR~pµph8×´¡`_½u#}öÙZg€ŠûxzhÀl=8É`øØö³<9¶^¡ \¹µ+W~´8¿4ÁpÇ~çCq d»™‘j¤½"ùlœ^üÌBË­ð(Ã\ÍýIîè̤TP.{–°'M4¡:s­xøº(;pÒžéɆÄÝž°i–qÕ“óUÏTPþ§Ð©k:©Åãmë³P³€“Q¹º•bí¼Ìü#ºªîæ¥ë;Q.¸ðžpÃ’PžÅý\üð˜ïÌÄ.ʈ <íWpuFàtv»áy(Á„I¾^ˆÂî2h7õ²ÃV]†ì¤Ü+I|ߎ/^D‚9ÿLÎÐo?ôë‚Ëö)f-ä5Ìä#Œù†Åµìc^”ªÕUÅMeÜÆÔ´{¿ÿJ楂%+)–y:a$ 3ï T‘Ðö²ò6àb‰‡3°«c g§;BŸ•@>Ù Ý•TÓ厩›ÕÓ“f^Ü%ðýŒgÀñZk9¾6`ä/jüò Ë¡µÄGœ¯ãH ±+S¬u£+òÎÎL3”ûPãžQVžËlŽ_ÊŠ¹ï^{­_P7¾Ši¢ö,A÷+=c\‹pë0m6#žÀõKWMà \ÑŸ;·«¡rü6þž ÛÙ^Øz‚—ÃçÝÒû° žL©A14O·:¼~áÁ0®ùÕAÜÛ.%öo \-Bð|=‰™Å‚q$˜à ªj<ž|ÚÓMQ×WÙ ©Thª ½4Ó7%Á%r=ÈÙzÿM@ÒÊP‡Úƒîùi\¦ô—~ZjýêÇ—TÒ"j«sUpÿk±YµåÌx¸¦Ƈ…N„2X@ÎÚɯ$ˆ•|«¯?ï–¼žÄ’ªp ý¶ê#9Ï»˜¶fý2­±ºÓS;%ÙPÀ¾×áQc¶³?õW{‹ ®!){´‡ºë.´AÙU>g3ö:íîæ!Wg[$ƒ n^ò‰«½Z€±Tþm£..½¾ïÍêô|Λ„BÇ#8šNŸÞ«åmbD‡âÆ6ª GFÄž=)½}hó3CÿD_І{Ó‘–‹½UCOçÅýäoÔÆÏæ9•2ÈÑ0KßhoŽÍ ElD¼gÃflüm*ññL’…mÊJFäéhJhôb;W.PÓË:qè)þØUeðñV4Q¤ùy÷q%nA‹• Ž'¯™l’õ`Ñ\~4qï‰äK؈¶±"ro;Y’ö ¼vfÿŠ‚Îd:ö<ßëÊ>%¾3oZ_CVqÌágNF†eL>›‰ƒK EÁ ýCWÊ yuk&1ç ¼M”H`Iè®E1Ë^-Ù`ìÄçŠ^‡tgÜξw0¿nò3ù^ÆƤ»j!Õ2)ptÕU‡½:>Ö·™qYÎï=Zç#l¸W®=ü!ƒ ¢üÂÌáûT¬ á­ §õ+Å’?^àVŒúýÜ,aKú€¸ïïÏ~ÇôˆÑP;ßõ⭌ݰÕDå6ÍN+ÞJÔ܇ ÙÑíLîÇY-^³¢BÊð·Œ~žMŒmškíFoÑBÄ}nIŸ”}‹œ-ò<¸HÝÚùé8çû–>®Veü¨ÌÒl;ÎkÑ;|{[Q™N¨®ŽX<»êPù©ö-ÿéO:IèÇñSüýζ˜W¶ž?³N»Õ_éêbr¼¢Y±ÖüXæꬰN]eŠ¿ºÈýu),ÕÔ•t7ªV÷ÊžX¤ŠÌ2hï ˆðê1u¥}šÅÕ¦8ZjÙV\P£6ÞH,YOßµu—˜ÉÚ˜庆…â ¯ÅÄCƒîyBB'K)?+ø<{Aû·Ÿ³}ï,uKŒVz¬ØÄnQbß©ßcô®ix¯ˆà‰jR£…;à²ñĪ+¿o*Àœ6|4épd‘_6/ýˆÂõe¢Ø÷1vs‘Œˆ2†ŽI⸠"J6‚'.¢…É Æ´dï ŠU  @fDËû\‰ï[è<‰B øx®!w‹òш ±[Žu0݉Y3²ܼ;Ù‡DïS&ß×ßR"åh4)T+-òMÇð `ÖÒíÐÕÛ‘Ò½NZ ù’4ã²&$uzœµìÿQ¬àO®d]q)»qÄ}ÃdG[OŽÓÎñ*HràÎ ¥ÉK¦<2 Z:5Q¥ˆ‰ŸíŒ¯Ì(af§ nºI£ð3‚§†3p-:Þ¸–~Û©`pñºªÿŽP¬âÊó&š|×ô,‚`íØqŒÁŽ™l)QÊ/‹YÔ¡/ÂU=Ú{Ù_b1Kuåp W“ oÝï¥Jö«ª%+r±a±‡6)-–ÃwZmsçˆk*AD„EÒv«ƒRKáCïI6Ù¼2ĸ]ö¥8¼ÓÖZæ¼þà¨î!êVxÊ¡¤¡L¨½…Õ:’¾=…'ãŸ)B»7zëõ—.Ãl‚¬Fö¯ë¤ Vè3/غ\#; Ž¹¼³+™? înÛöÅÓ\þ˜o‘™ÂÔÙÇ u1²ÔI©ÖtkQÃÈUàg„m˜ƒë:Çü1ÃXŸ¬à¥ñ§'™b7Ó"eÔ¸§ŒÄ{ŒvK·[ŠÐÉ—â öxr´H m 3Píj‰æÁäU”ÓêGH-ÿjc‹·q<Œ`O‡æV–Àå€F˜Ãx•\ sÍ‹ìJZæ ¦uuÄOãïyÚŒçøa8%ÙµüGC¯e‡5›[ãh}Ù#F¤ÉR Y³=Iâ·ÍÜvžÂˆv‘Ú#±£ÂíÀš85tÙIðþìI¹z[}ÿœÔû§Ë4¹óÀ­—úÜ_E#(dtÆ–9°Ò ¡ãØ·¿Š’žî¯Yv,}=¯zaø(8ÛÿØæ1m?7‚[\jösZÍU»~£SKPªp”÷ ÇØúdÖ“)®û1{2uü¡sÖvn‡=n ó$?¬ô¿ÉV`çh1”Í„WpW=Ú³Y¤$»Kt2ûJ0 p[~°Š¹û³?m€å'&Õ¬<¾§lOþ¹æS«l-:kÿMî×`/Óoò:ËÚéC›´º¹g©U½û´)#dÌTåiÂ*{†®GËàwãÔb8+rHLné©ïŒymp ¯0v*"&¼W…IœÒE±‰þ†E( Æn¯õh\¼Ôªâó&g û h<†/x |]þR¢¢Ój íc£šjС¨Ý»l>~m/£t2²¿eð>Ñ¥M[ãÆ{}ÝS¢æ¡† §a¡ÚT÷Lýxê‡caZŒÑ‹©!kcÀik*mƒ€ý(bRäº6ÉTe’_ùa涧xò–HÏ¡Ó#œa˜L&(§ÔdÃ=•C:aYò>S[ÓVò^3ÀV‡§vazŒÇªg¬­ïyÓTǪKžÔ°r‡0<Õ3¹ÊÆ w†w/˜$¶ÁËR,wŸ( ò<&{ÝžÚŠÿÈ02Õ-¯Gò,¨Õâq’g[O'÷!®¯pÿýBSõë>ù¯XlÂÕ34ŽG.Nì¾Ï¿½O”¶#5è+¦»¤ú(Š¹Ÿ endstream endobj 213 0 obj << /Type /FontDescriptor /FontName /ZJBAUL+CMTT8 /Flags 4 /FontBBox [-5 -232 545 699] /Ascent 611 /CapHeight 611 /Descent -222 /ItalicAngle 0 /StemV 76 /XHeight 431 /CharSet (/A/C/D/E/F/I/N/O/P/Q/R/S/T/Z/a/b/c/colon/d/e/f/four/g/h/hyphen/i/j/k/l/m/n/numbersign/o/one/p/period/r/s/slash/t/u/w/x) /FontFile 212 0 R >> endobj 81 0 obj << /Type /Font /Subtype /Type1 /BaseFont /KJYIAK+CMBX10 /FontDescriptor 183 0 R /FirstChar 12 /LastChar 123 /Widths 178 0 R >> endobj 79 0 obj << /Type /Font /Subtype /Type1 /BaseFont /TWWUGQ+CMBX12 /FontDescriptor 185 0 R /FirstChar 12 /LastChar 120 /Widths 179 0 R >> endobj 86 0 obj << /Type /Font /Subtype /Type1 /BaseFont /DPBFPX+CMBXTI10 /FontDescriptor 187 0 R /FirstChar 97 /LastChar 116 /Widths 173 0 R >> endobj 83 0 obj << /Type /Font /Subtype /Type1 /BaseFont /SYFPBV+CMMI10 /FontDescriptor 189 0 R /FirstChar 60 /LastChar 62 /Widths 176 0 R >> endobj 127 0 obj << /Type /Font /Subtype /Type1 /BaseFont /PGRSID+CMMIB10 /FontDescriptor 191 0 R /FirstChar 60 /LastChar 62 /Widths 163 0 R >> endobj 82 0 obj << /Type /Font /Subtype /Type1 /BaseFont /CODDJV+CMR10 /FontDescriptor 193 0 R /FirstChar 12 /LastChar 122 /Widths 177 0 R >> endobj 78 0 obj << /Type /Font /Subtype /Type1 /BaseFont /FKELYS+CMR12 /FontDescriptor 195 0 R /FirstChar 18 /LastChar 118 /Widths 180 0 R >> endobj 77 0 obj << /Type /Font /Subtype /Type1 /BaseFont /HYLRFQ+CMR17 /FontDescriptor 197 0 R /FirstChar 66 /LastChar 119 /Widths 181 0 R >> endobj 101 0 obj << /Type /Font /Subtype /Type1 /BaseFont /MPZVKG+CMR6 /FontDescriptor 199 0 R /FirstChar 49 /LastChar 56 /Widths 166 0 R >> endobj 100 0 obj << /Type /Font /Subtype /Type1 /BaseFont /VPWRDP+CMR7 /FontDescriptor 201 0 R /FirstChar 49 /LastChar 56 /Widths 167 0 R >> endobj 112 0 obj << /Type /Font /Subtype /Type1 /BaseFont /AFIOXE+CMSLTT10 /FontDescriptor 203 0 R /FirstChar 34 /LastChar 121 /Widths 164 0 R >> endobj 98 0 obj << /Type /Font /Subtype /Type1 /BaseFont /SDBXWL+CMSS10 /FontDescriptor 205 0 R /FirstChar 46 /LastChar 118 /Widths 172 0 R >> endobj 84 0 obj << /Type /Font /Subtype /Type1 /BaseFont /IDSYSL+CMTI10 /FontDescriptor 207 0 R /FirstChar 12 /LastChar 120 /Widths 175 0 R >> endobj 85 0 obj << /Type /Font /Subtype /Type1 /BaseFont /WTGWZO+CMTT10 /FontDescriptor 209 0 R /FirstChar 34 /LastChar 122 /Widths 174 0 R >> endobj 141 0 obj << /Type /Font /Subtype /Type1 /BaseFont /MYHLWD+CMTT12 /FontDescriptor 211 0 R /FirstChar 67 /LastChar 84 /Widths 162 0 R >> endobj 103 0 obj << /Type /Font /Subtype /Type1 /BaseFont /ZJBAUL+CMTT8 /FontDescriptor 213 0 R /FirstChar 35 /LastChar 120 /Widths 165 0 R >> endobj 87 0 obj << /Type /Pages /Count 6 /Parent 214 0 R /Kids [58 0 R 95 0 R 109 0 R 118 0 R 124 0 R 138 0 R] >> endobj 149 0 obj << /Type /Pages /Count 4 /Parent 214 0 R /Kids [146 0 R 151 0 R 155 0 R 159 0 R] >> endobj 214 0 obj << /Type /Pages /Count 10 /Kids [87 0 R 149 0 R] >> endobj 215 0 obj << /Type /Outlines /First 3 0 R /Last 55 0 R /Count 5 >> endobj 55 0 obj << /Title 56 0 R /A 53 0 R /Parent 215 0 R /Prev 51 0 R >> endobj 51 0 obj << /Title 52 0 R /A 49 0 R /Parent 215 0 R /Prev 27 0 R /Next 55 0 R >> endobj 47 0 obj << /Title 48 0 R /A 45 0 R /Parent 27 0 R /Prev 43 0 R >> endobj 43 0 obj << /Title 44 0 R /A 41 0 R /Parent 27 0 R /Prev 39 0 R /Next 47 0 R >> endobj 39 0 obj << /Title 40 0 R /A 37 0 R /Parent 27 0 R /Prev 35 0 R /Next 43 0 R >> endobj 35 0 obj << /Title 36 0 R /A 33 0 R /Parent 27 0 R /Prev 31 0 R /Next 39 0 R >> endobj 31 0 obj << /Title 32 0 R /A 29 0 R /Parent 27 0 R /Next 35 0 R >> endobj 27 0 obj << /Title 28 0 R /A 25 0 R /Parent 215 0 R /Prev 7 0 R /Next 51 0 R /First 31 0 R /Last 47 0 R /Count -5 >> endobj 23 0 obj << /Title 24 0 R /A 21 0 R /Parent 7 0 R /Prev 19 0 R >> endobj 19 0 obj << /Title 20 0 R /A 17 0 R /Parent 7 0 R /Prev 15 0 R /Next 23 0 R >> endobj 15 0 obj << /Title 16 0 R /A 13 0 R /Parent 7 0 R /Prev 11 0 R /Next 19 0 R >> endobj 11 0 obj << /Title 12 0 R /A 9 0 R /Parent 7 0 R /Next 15 0 R >> endobj 7 0 obj << /Title 8 0 R /A 5 0 R /Parent 215 0 R /Prev 3 0 R /Next 27 0 R /First 11 0 R /Last 23 0 R /Count -4 >> endobj 3 0 obj << /Title 4 0 R /A 1 0 R /Parent 215 0 R /Next 7 0 R >> endobj 216 0 obj << /Names [(Doc-Start) 76 0 R (Hfootnote.1) 102 0 R (Hfootnote.2) 104 0 R (Hfootnote.3) 105 0 R (Hfootnote.4) 121 0 R (Hfootnote.5) 122 0 R] /Limits [(Doc-Start) (Hfootnote.5)] >> endobj 217 0 obj << /Names [(Hfootnote.6) 142 0 R (Hfootnote.7) 143 0 R (Hfootnote.8) 144 0 R (Item.1) 128 0 R (Item.2) 129 0 R (Item.3) 130 0 R] /Limits [(Hfootnote.6) (Item.3)] >> endobj 218 0 obj << /Names [(page.1) 75 0 R (page.10) 161 0 R (page.2) 97 0 R (page.3) 111 0 R (page.4) 120 0 R (page.5) 126 0 R] /Limits [(page.1) (page.5)] >> endobj 219 0 obj << /Names [(page.6) 140 0 R (page.7) 148 0 R (page.8) 153 0 R (page.9) 157 0 R (section*.1) 80 0 R (section.1) 2 0 R] /Limits [(page.6) (section.1)] >> endobj 220 0 obj << /Names [(section.2) 6 0 R (section.3) 26 0 R (section.4) 50 0 R (section.5) 54 0 R (subsection.2.1) 10 0 R (subsection.2.2) 14 0 R] /Limits [(section.2) (subsection.2.2)] >> endobj 221 0 obj << /Names [(subsection.2.3) 18 0 R (subsection.2.4) 22 0 R (subsection.3.1) 30 0 R (subsection.3.2) 34 0 R (subsection.3.3) 38 0 R (subsection.3.4) 42 0 R] /Limits [(subsection.2.3) (subsection.3.4)] >> endobj 222 0 obj << /Names [(subsection.3.5) 46 0 R] /Limits [(subsection.3.5) (subsection.3.5)] >> endobj 223 0 obj << /Kids [216 0 R 217 0 R 218 0 R 219 0 R 220 0 R 221 0 R] /Limits [(Doc-Start) (subsection.3.4)] >> endobj 224 0 obj << /Kids [222 0 R] /Limits [(subsection.3.5) (subsection.3.5)] >> endobj 225 0 obj << /Kids [223 0 R 224 0 R] /Limits [(Doc-Start) (subsection.3.5)] >> endobj 226 0 obj << /Dests 225 0 R >> endobj 227 0 obj << /Type /Catalog /Pages 214 0 R /Outlines 215 0 R /Names 226 0 R /PageMode/UseOutlines /OpenAction 57 0 R >> endobj 228 0 obj << /Author()/Title()/Subject()/Creator(LaTeX with hyperref package)/Producer(pdfTeX-1.40.10)/Keywords() /CreationDate (D:20131014203241-07'00') /ModDate (D:20131014203241-07'00') /Trapped /False /PTEX.Fullbanner (This is pdfTeX, Version 3.1415926-1.40.10-2.2 (TeX Live 2009/Debian) kpathsea version 5.0.0) >> endobj xref 0 229 0000000000 65535 f 0000000015 00000 n 0000010128 00000 n 0000245519 00000 n 0000000060 00000 n 0000000090 00000 n 0000010184 00000 n 0000245398 00000 n 0000000135 00000 n 0000000193 00000 n 0000014698 00000 n 0000245326 00000 n 0000000243 00000 n 0000000287 00000 n 0000014756 00000 n 0000245240 00000 n 0000000338 00000 n 0000000378 00000 n 0000018422 00000 n 0000245154 00000 n 0000000429 00000 n 0000000458 00000 n 0000022324 00000 n 0000245081 00000 n 0000000509 00000 n 0000000578 00000 n 0000022382 00000 n 0000244957 00000 n 0000000624 00000 n 0000000686 00000 n 0000022440 00000 n 0000244883 00000 n 0000000737 00000 n 0000000764 00000 n 0000028065 00000 n 0000244796 00000 n 0000000815 00000 n 0000000861 00000 n 0000028123 00000 n 0000244709 00000 n 0000000912 00000 n 0000000962 00000 n 0000032669 00000 n 0000244622 00000 n 0000001013 00000 n 0000001044 00000 n 0000034301 00000 n 0000244548 00000 n 0000001095 00000 n 0000001124 00000 n 0000036847 00000 n 0000244460 00000 n 0000001170 00000 n 0000001213 00000 n 0000038429 00000 n 0000244385 00000 n 0000001259 00000 n 0000001297 00000 n 0000002594 00000 n 0000002812 00000 n 0000002961 00000 n 0000003111 00000 n 0000003266 00000 n 0000003421 00000 n 0000003576 00000 n 0000003731 00000 n 0000003881 00000 n 0000004035 00000 n 0000004190 00000 n 0000004345 00000 n 0000004500 00000 n 0000004654 00000 n 0000004804 00000 n 0000005122 00000 n 0000001347 00000 n 0000004952 00000 n 0000005008 00000 n 0000242742 00000 n 0000242600 00000 n 0000241884 00000 n 0000005065 00000 n 0000241741 00000 n 0000242458 00000 n 0000242172 00000 n 0000243455 00000 n 0000243598 00000 n 0000242027 00000 n 0000244027 00000 n 0000009074 00000 n 0000009531 00000 n 0000009227 00000 n 0000009726 00000 n 0000009379 00000 n 0000009903 00000 n 0000010420 00000 n 0000008912 00000 n 0000005287 00000 n 0000010072 00000 n 0000243312 00000 n 0000040025 00000 n 0000243025 00000 n 0000242884 00000 n 0000010240 00000 n 0000243884 00000 n 0000010300 00000 n 0000010360 00000 n 0000014228 00000 n 0000014436 00000 n 0000014814 00000 n 0000014089 00000 n 0000010599 00000 n 0000014640 00000 n 0000243166 00000 n 0000017656 00000 n 0000017964 00000 n 0000017810 00000 n 0000018163 00000 n 0000018601 00000 n 0000017501 00000 n 0000014969 00000 n 0000018364 00000 n 0000018480 00000 n 0000018540 00000 n 0000022675 00000 n 0000022155 00000 n 0000018793 00000 n 0000022266 00000 n 0000242314 00000 n 0000022498 00000 n 0000022557 00000 n 0000022616 00000 n 0000026937 00000 n 0000027398 00000 n 0000027091 00000 n 0000027614 00000 n 0000027245 00000 n 0000027807 00000 n 0000028364 00000 n 0000026766 00000 n 0000022842 00000 n 0000028007 00000 n 0000243741 00000 n 0000028181 00000 n 0000028242 00000 n 0000028303 00000 n 0000032727 00000 n 0000032499 00000 n 0000028533 00000 n 0000032611 00000 n 0000244141 00000 n 0000034359 00000 n 0000034131 00000 n 0000032869 00000 n 0000034243 00000 n 0000036905 00000 n 0000036677 00000 n 0000034490 00000 n 0000036789 00000 n 0000038486 00000 n 0000038259 00000 n 0000037048 00000 n 0000038371 00000 n 0000038593 00000 n 0000038720 00000 n 0000038755 00000 n 0000039126 00000 n 0000039661 00000 n 0000039728 00000 n 0000039795 00000 n 0000040273 00000 n 0000040299 00000 n 0000040362 00000 n 0000040399 00000 n 0000040824 00000 n 0000040957 00000 n 0000041332 00000 n 0000041983 00000 n 0000042018 00000 n 0000042635 00000 n 0000043272 00000 n 0000043903 00000 n 0000044459 00000 n 0000044798 00000 n 0000059793 00000 n 0000060106 00000 n 0000075072 00000 n 0000075421 00000 n 0000085085 00000 n 0000085334 00000 n 0000092476 00000 n 0000092709 00000 n 0000099764 00000 n 0000099999 00000 n 0000123830 00000 n 0000124351 00000 n 0000137800 00000 n 0000138114 00000 n 0000148412 00000 n 0000148662 00000 n 0000156941 00000 n 0000157197 00000 n 0000165467 00000 n 0000165723 00000 n 0000180072 00000 n 0000180470 00000 n 0000189762 00000 n 0000190025 00000 n 0000207327 00000 n 0000207639 00000 n 0000228245 00000 n 0000228783 00000 n 0000232524 00000 n 0000232760 00000 n 0000241408 00000 n 0000244242 00000 n 0000244311 00000 n 0000245590 00000 n 0000245787 00000 n 0000245969 00000 n 0000246130 00000 n 0000246299 00000 n 0000246493 00000 n 0000246713 00000 n 0000246813 00000 n 0000246931 00000 n 0000247014 00000 n 0000247100 00000 n 0000247138 00000 n 0000247265 00000 n trailer << /Size 229 /Root 227 0 R /Info 228 0 R /ID [<532AC458975B953A2B3A87DD937C5BB0> <532AC458975B953A2B3A87DD937C5BB0>] >> startxref 247591 %%EOF BSgenome/inst/doc/GenomeSearching.R0000644000126300012640000002722512227133625020552 0ustar00biocbuildphs_compbio### R code from vignette source 'GenomeSearching.Rnw' ################################################### ### code chunk number 1: b1 ################################################### library(BSgenome.Celegans.UCSC.ce2) ls("package:BSgenome.Celegans.UCSC.ce2") Celegans ################################################### ### code chunk number 2: b2 ################################################### class(Celegans) ################################################### ### code chunk number 3: b3 ################################################### organism(Celegans) provider(Celegans) providerVersion(Celegans) seqnames(Celegans) mseqnames(Celegans) ################################################### ### code chunk number 4: b4 ################################################### Celegans$chrI ################################################### ### code chunk number 5: b5 ################################################### chrI <- Celegans$chrI length(chrI) ################################################### ### code chunk number 6: b6 ################################################### afI <- alphabetFrequency(chrI) afI sum(afI) == length(chrI) ################################################### ### code chunk number 7: b7 ################################################### p1 <- "ACCCAGGGC" countPattern(p1, chrI) ################################################### ### code chunk number 8: b8 ################################################### countPattern(p1, chrI, max.mismatch=1) ################################################### ### code chunk number 9: b9 ################################################### m1 <- matchPattern(p1, chrI, max.mismatch=1) m1[4:6] class(m1) ################################################### ### code chunk number 10: b10 ################################################### mismatch(p1, m1[4:6]) ################################################### ### code chunk number 11: b11 ################################################### p2 <- DNAString("AAGCCTAAGCCTAAGCCTAA") m2 <- matchPattern(p2, chrI, max.mismatch=2) m2[1:4] p2 == m2[1:4] mismatch(p2, m2[1:4]) ################################################### ### code chunk number 12: b12 ################################################### m2[p2 == m2] m2[p2 != m2] ################################################### ### code chunk number 13: c1 ################################################### ce2dict0_file <- system.file("extdata", "ce2dict0.fa", package="BSgenome") ce2dict0 <- readDNAStringSet(ce2dict0_file, "fasta") ce2dict0 ################################################### ### code chunk number 14: c2 ################################################### writeHits <- function(seqname, matches, strand, file="", append=FALSE) { if (file.exists(file) && !append) warning("existing file ", file, " will be overwritten with 'append=FALSE'") if (!file.exists(file) && append) warning("new file ", file, " will have no header with 'append=TRUE'") hits <- data.frame(seqname=rep.int(seqname, length(matches)), start=start(matches), end=end(matches), strand=rep.int(strand, length(matches)), patternID=names(matches), check.names=FALSE) write.table(hits, file=file, append=append, quote=FALSE, sep="\t", row.names=FALSE, col.names=!append) } runAnalysis1 <- function(dict0, outfile="") { library(BSgenome.Celegans.UCSC.ce2) seqnames <- seqnames(Celegans) seqnames_in1string <- paste(seqnames, collapse=", ") cat("Target:", providerVersion(Celegans), "chromosomes", seqnames_in1string, "\n") append <- FALSE for (seqname in seqnames) { subject <- Celegans[[seqname]] cat(">>> Finding all hits in chromosome", seqname, "...\n") for (i in seq_len(length(dict0))) { patternID <- names(dict0)[i] pattern <- dict0[[i]] plus_matches <- matchPattern(pattern, subject) names(plus_matches) <- rep.int(patternID, length(plus_matches)) writeHits(seqname, plus_matches, "+", file=outfile, append=append) append <- TRUE rcpattern <- reverseComplement(pattern) minus_matches <- matchPattern(rcpattern, subject) names(minus_matches) <- rep.int(patternID, length(minus_matches)) writeHits(seqname, minus_matches, "-", file=outfile, append=append) } cat(">>> DONE\n") } } ################################################### ### code chunk number 15: c3 ################################################### runAnalysis1(ce2dict0, outfile="ce2dict0_ana1.txt") ################################################### ### code chunk number 16: c4 ################################################### hits1 <- read.table("ce2dict0_ana1.txt", header=TRUE) nrow(hits1) ################################################### ### code chunk number 17: c5 ################################################### table(hits1$seqname) ################################################### ### code chunk number 18: c6 ################################################### hits1_table <- table(hits1$patternID) hits1_table ################################################### ### code chunk number 19: c7 ################################################### hits1_table[hits1_table == max(hits1_table)] # pattern(s) with more hits ################################################### ### code chunk number 20: c8 ################################################### setdiff(names(ce2dict0), hits1$patternID) # pattern(s) with no hits ################################################### ### code chunk number 21: c9 ################################################### plotGenomeHits <- function(bsgenome, seqnames, hits) { chrlengths <- seqlengths(bsgenome)[seqnames] XMAX <- max(chrlengths) YMAX <- length(seqnames) plot.new() plot.window(c(1, XMAX), c(0, YMAX)) axis(1) axis(2, at=seq_len(length(seqnames)), labels=rev(seqnames), tick=FALSE, las=1) ## Plot the chromosomes for (i in seq_len(length(seqnames))) lines(c(1, chrlengths[i]), c(YMAX + 1 - i, YMAX + 1 - i), type="l") ## Plot the hits for (i in seq_len(nrow(hits))) { seqname <- hits$seqname[i] y0 <- YMAX + 1 - match(seqname, seqnames) if (hits$strand[i] == "+") { y <- y0 + 0.05 col <- "red" } else { y <- y0 - 0.05 col <- "blue" } lines(c(hits$start[i], hits$end[i]), c(y, y), type="l", col=col, lwd=3) } } ################################################### ### code chunk number 22: c10 (eval = FALSE) ################################################### ## plotGenomeHits(Celegans, seqnames(Celegans), hits1) ################################################### ### code chunk number 23: d1 ################################################### library(hgu95av2probe) tmpseq <- DNAStringSet(hgu95av2probe$sequence) someStats <- function(v) { GC <- DNAString("GC") CG <- DNAString("CG") sapply(seq_len(length(v)), function(i) { y <- v[[i]] c(alphabetFrequency(y)[1:4], GC=countPattern(GC, y), CG=countPattern(CG, y)) } ) } someStats(tmpseq[1:10]) ################################################### ### code chunk number 24: f1 ################################################### library(BSgenome.Hsapiens.UCSC.hg19) chrY <- Hsapiens$chrY chrY chrM <- Hsapiens$chrM chrM ################################################### ### code chunk number 25: f2 ################################################### active(masks(chrY))["RM"] <- TRUE chrY ################################################### ### code chunk number 26: f3 ################################################### active(masks(chrY)) <- FALSE active(masks(chrY))["AGAPS"] <- TRUE alphabetFrequency(unmasked(chrY)) alphabetFrequency(chrY) ################################################### ### code chunk number 27: f4 ################################################### as(chrY, "XStringViews") ################################################### ### code chunk number 28: f5 ################################################### gaps(as(chrY, "XStringViews")) ################################################### ### code chunk number 29: f6 ################################################### width(gaps(as(chrY, "XStringViews"))) ################################################### ### code chunk number 30: f7 ################################################### gaps(chrY) alphabetFrequency(gaps(chrY)) ################################################### ### code chunk number 31: f8 ################################################### af0 <- alphabetFrequency(unmasked(chrY)) af1 <- alphabetFrequency(chrY) af2 <- alphabetFrequency(gaps(chrY)) all(af0 == af1 + af2) ################################################### ### code chunk number 32: f9 ################################################### active(masks(chrY)) <- TRUE af1 <- alphabetFrequency(chrY) af1 gaps(chrY) af2 <- alphabetFrequency(gaps(chrY)) af2 all(af0 == af1 + af2) ################################################### ### code chunk number 33: f10 ################################################### Ebox <- "CANNTG" active(masks(chrY)) <- FALSE countPattern(Ebox, chrY, fixed=FALSE) ################################################### ### code chunk number 34: f11 ################################################### countPattern(Ebox, chrY, fixed=c(pattern=FALSE,subject=TRUE)) ################################################### ### code chunk number 35: f12 ################################################### active(masks(chrY))[c("AGAPS", "AMB")] <- TRUE alphabetFrequency(chrY, baseOnly=TRUE) # no ambiguities countPattern(Ebox, chrY, fixed=FALSE) ################################################### ### code chunk number 36: f13 ################################################### chr2 <- Hsapiens$chr2 active(masks(chr2))[-2] <- FALSE alphabetFrequency(gaps(chr2)) ################################################### ### code chunk number 37: e1 ################################################### runOneStrandAnalysis <- function(dict0, bsgenome, seqnames, strand, outfile="", append=FALSE) { cat("\nTarget: strand", strand, "of", providerVersion(bsgenome), "chromosomes", paste(seqnames, collapse=", "), "\n") if (strand == "-") dict0 <- reverseComplement(dict0) pdict <- PDict(dict0) for (seqname in seqnames) { subject <- bsgenome[[seqname]] cat(">>> Finding all hits in strand", strand, "of chromosome", seqname, "...\n") mindex <- matchPDict(pdict, subject) matches <- extractAllMatches(subject, mindex) writeHits(seqname, matches, strand, file=outfile, append=append) append <- TRUE cat(">>> DONE\n") } } runAnalysis2 <- function(dict0, outfile="") { library(BSgenome.Celegans.UCSC.ce2) seqnames <- seqnames(Celegans) runOneStrandAnalysis(dict0, Celegans, seqnames, "+", outfile=outfile, append=FALSE) runOneStrandAnalysis(dict0, Celegans, seqnames, "-", outfile=outfile, append=TRUE) } ################################################### ### code chunk number 38: e2 ################################################### ce2dict0cw15 <- DNAStringSet(ce2dict0, end=15) ################################################### ### code chunk number 39: e3 ################################################### runAnalysis2(ce2dict0cw15, outfile="ce2dict0cw15_ana2.txt") ################################################### ### code chunk number 40: g1 ################################################### sessionInfo() BSgenome/inst/doc/GenomeSearching.Rnw0000644000126300012640000006573112227064200021113 0ustar00biocbuildphs_compbio%\VignetteIndexEntry{Efficient genome searching with Biostrings and the BSgenome data packages} %\VignetteKeywords{BSgenome, genome, DNA, RNA, Sequence, Biostrings, Sequence alignment, SNPs} %\VignettePackage{BSgenome} % % NOTE -- ONLY EDIT THE .Rnw FILE!!! The .tex file is % likely to be overwritten. % \SweaveOpts{keep.source=TRUE} \documentclass[10pt]{article} %\usepackage{amsmath} %\usepackage[authoryear,round]{natbib} \usepackage{hyperref} \usepackage{underscore} \textwidth=6.5in \textheight=8.5in %\parskip=.3cm \oddsidemargin=.1in \evensidemargin=.1in \headheight=-.3in \newcommand{\scscst}{\scriptscriptstyle} \newcommand{\scst}{\scriptstyle} \newcommand{\R}{\textsf{R}} \newcommand{\code}[1]{\texttt{#1}} \newcommand{\term}[1]{\emph{#1}} \newcommand{\Rpackage}[1]{\textsf{#1}} \newcommand{\Rfunction}[1]{\texttt{#1}} \newcommand{\Robject}[1]{\texttt{#1}} \newcommand{\Rclass}[1]{\textit{#1}} \newcommand{\Rmethod}[1]{\textit{#1}} \newcommand{\Rfunarg}[1]{\textit{#1}} \bibliographystyle{plainnat} \begin{document} %\setkeys{Gin}{width=0.55\textwidth} \title{Efficient genome searching with Biostrings and the BSgenome data packages} \author{Herv\'e Pag\`es} \maketitle \tableofcontents % --------------------------------------------------------------------------- \section{The Biostrings-based genome data packages} The Bioconductor project provides data packages that contain the full genome sequences of a given organism. These packages are called {\it Biostrings-based genome data packages} because the sequences they contain are stored in some of the basic containers defined in the \Rpackage{Biostrings} package, like the \Rclass{DNAString}, the \Rclass{DNAStringSet} or the \Rclass{MaskedDNAString} containers. Regardless of the particular sequence data that they contain, all the Biostrings-based genome data packages are very similar and can be manipulated in a consistent and easy way. They all require the \Rpackage{BSgenome} package in order to work properly. This package, unlike the Biostrings-based genome data packages, is a software package that provides the infrastructure needed to support them (this is why the Biostrings-based genome data packages are also called {\it BSgenome data packages}). The \Rpackage{BSgenome} package itself requires the \Rpackage{Biostrings} package. See the man page for the \Rfunction{available.genomes} function (\Rfunction{?available.genomes}) for more information about how to get the list of all the BSgenome data packages currently available in your version of Bioconductor (you need an internet connection so that \Rfunction{available.genomes} can query the Bioconductor package repositories). More genomes can be added if necessary. Note that the process of making a BSgenome data package is not yet documented but you are welcome to ask for help on the bioc-devel mailing list (\url{http://bioconductor.org/docs/mailList.html}) if you need a genome that is not yet available. % --------------------------------------------------------------------------- \section{Finding an arbitrary nucleotide pattern in a chromosome} In this section we show how to find (or just count) the occurences of some arbitrary nucleotide pattern in a chromosome. The basic tool for this is the \Rfunction{matchPattern} (or \Rfunction{countPattern}) function from the \Rpackage{Biostrings} package. First we need to install and load the BSgenome data package for the organism that we want to look at. In our case, we want to search chromosome I of {\it Caenorhabditis elegans}. UCSC provides several versions of the C. elegans genome: ce1, ce2 and ce4. These versions correspond to different {\it releases} from WormBase, which are the WS100, WS120 and WS170 releases, respectively. See \url{http://genome.ucsc.edu/FAQ/FAQreleases#release1} for the list of all UCSC genome releases and for the correspondance between UCSC versions and release names. The BSgenome data package for the ce2 genome is \Rpackage{BSgenome.Celegans.UCSC.ce2}. Note that ce1 and ce4 are not available in Bioconductor but they could be added if there is demand for them. See \Rfunction{?available.genomes} for how to install \Rpackage{BSgenome.Celegans.UCSC.ce2}. Then load the package and display the single object defined in it: <>= library(BSgenome.Celegans.UCSC.ce2) ls("package:BSgenome.Celegans.UCSC.ce2") Celegans @ \Robject{Celegans} is a \Rclass{BSgenome} object: <>= class(Celegans) @ When displayed, some basic information about the origin of the genome is shown (organism, provider, provider version, etc...) followed by the index of {\it single} sequences and eventually an additional index of {\it multiple} sequences. Methods (adequately called {\it accessor methods}) are defined for individual access to this information: <>= organism(Celegans) provider(Celegans) providerVersion(Celegans) seqnames(Celegans) mseqnames(Celegans) @ See the man page for the \Rclass{BSgenome} class (\Rfunction{?BSgenome}) for a complete list of accessor methods and their descriptions. Now we are ready to display chromosome I: <>= Celegans$chrI @ Note that this chrI sequence corresponds to the {\it forward} strand (aka {\it direct} or {\it sense} or {\it positive} or {\it plus} strand) of chromosome I. UCSC, and genome providers in general, don't provide files containing the nucleotide sequence of the {\it reverse} strand (aka {\it indirect} or {\it antisense} or {\it negative} or {\it minus} or {\it opposite} strand) of the chromosomes because these sequences can be deduced from the {\it forward} sequences by taking their reverse complements. The BSgenome data packages are no exceptions: they only provide the {\it forward} strand sequence of every chromosome. See \Rfunction{?reverseComplement} for more details about the reverse complement of a \Rclass{DNAString} object. It is important to remember that, in practice, the {\it reverse} strand sequence is almost never needed. The reason is that, in fact, a {\it reverse} strand analysis can (and should) always be transposed into a {\it forward} strand analysis. Therefore trying to compute the {\it reverse} strand sequence of an entire chromosome by applying \Rfunction{reverseComplement} to its {\it forward} strand sequence is almost always a bad idea. See the {\it Finding an arbitrary nucleotide pattern in an entire genome} section of this document for how to find arbitrary patterns in the {\it reverse} strand of a chromosome. % It seems like this page http://www.medterms.com/script/main/art.asp?articlekey=20468 % is lying about the noncoding (or coding, they are in fact contradicting themselves) % nature of the sense and antisense strands. The number of bases in this sequence can be retrieved with: <>= chrI <- Celegans$chrI length(chrI) @ Some basic stats: <>= afI <- alphabetFrequency(chrI) afI sum(afI) == length(chrI) @ Count all {\it exact} matches of pattern \Robject{"ACCCAGGGC"}: <>= p1 <- "ACCCAGGGC" countPattern(p1, chrI) @ Like most pattern matching functions in \Rpackage{Biostrings}, the \Rfunction{countPattern} and \Rfunction{matchPattern} functions support {\it inexact} matching. One form of inexact matching is to allow a few mismatching letters per match. Here we allow at most one: <>= countPattern(p1, chrI, max.mismatch=1) @ With the \Rfunction{matchPattern} function, the locations of the matches are stored in an \Rclass{XStringViews} object: <>= m1 <- matchPattern(p1, chrI, max.mismatch=1) m1[4:6] class(m1) @ The \Rfunction{mismatch} function (new in \Rpackage{Biostrings}~2) returns the positions of the mismatching letters for each match: <>= mismatch(p1, m1[4:6]) @ Note: The \Rfunction{mismatch} method is in fact a particular case of a (vectorized) {\it alignment} function where only ``replacements'' are allowed. Current implementation is slow but this will be addressed. It may happen that a match is {\it out of limits} like in this example: <>= p2 <- DNAString("AAGCCTAAGCCTAAGCCTAA") m2 <- matchPattern(p2, chrI, max.mismatch=2) m2[1:4] p2 == m2[1:4] mismatch(p2, m2[1:4]) @ The list of exact matches and the list of inexact matches can both be obtained with: <>= m2[p2 == m2] m2[p2 != m2] @ Note that the length of \Robject{m2[p2 == m2]} should be equal to \Robject{countPattern(p2, chrI, max.mismatch=0)}. % --------------------------------------------------------------------------- \section{Finding an arbitrary nucleotide pattern in an entire genome} Now we want to extend our analysis to the {\it forward} and {\it reverse} strands of all the C. elegans chromosomes. More precisely, here is the analysis we want to perform: \begin{itemize} \item{The input dictionary: } Our input is a dictionary of 50 patterns. Each pattern is a short nucleotide sequence of 15 to 25 bases (As, Cs, Gs and Ts only, no Ns). It is stored in a FASTA file called \Robject{"ce2dict0.fa"}. % ce2dict0.fa was generated with % > set.seed(23) % > ce2dict0 <- sapply(1:50, function(i) { x <- Celegans[[sample(seqnames(Celegans), 1)]]; start <- as.integer(runif(1, min=1, length(x)-20)); end <- start + as.integer(runif(1, min=14, max=25)); x <- subXString(x, start, end); if (sample(1:2, 1) == 2) x <- reverseComplement(x); as.character(x) }) % > names(ce2dict0) <- paste("pattern", 1:50, sep="") % > write.XStringViews(XStringViews(ce2dict0, "DNAString"), file="ce2dict0.fa", format="fasta") See the {\it Finding all the patterns of a constant width dictionary in an entire genome} section of this document for a very efficient way to deal with the special case where all the patterns in the input dictionary have the same length. \item{The target: } Our target (or subject) is the {\it forward} and {\it reverse} strands of the seven C. elegans chromosomes (14 sequences in total). We want to find and report all occurences (or hits) of every pattern in the target. Note that a given pattern can have 0, 1 or several hits in 0, 1 or 2 strands of 0, 1 or several chromosomes. \item{Exact or inexact matching? } We are interested in exact matches only (for now). \item{The output: } We want to put the results of this analysis in a file so we can send it to our collaborators for some post analysis work. Our collaborators are not necessarily familiar with R or Bioconductor so dumping a high-level R object (like a list or a data frame) into an .rda file is not an option. For maximum portability (one of our collaborators wants to use Microsoft Excel for the post analysis) we choose to put our results in a tabulated file where one line describes one hit. The columns (or fields) of this file will be (in this order): \begin{itemize} \item{seqname: } the name of the chromosome where the hit occurs. \item{start: } an integer giving the starting position of the hit. \item{end: } an integer giving the ending position of the hit. \item{strand: } a plus (\Robject{+}) for a hit in the positive strand or a minus (\Robject{-}) for a hit in the negative strand. \item{patternID: } we use the unique ID provided for every pattern in the \Robject{"ce2dict0.fa"} file. \end{itemize} \end{itemize} Let's start by loading the input dictionary with: <>= ce2dict0_file <- system.file("extdata", "ce2dict0.fa", package="BSgenome") ce2dict0 <- readDNAStringSet(ce2dict0_file, "fasta") ce2dict0 @ Here is how we can write the functions that will perform our analysis: <>= writeHits <- function(seqname, matches, strand, file="", append=FALSE) { if (file.exists(file) && !append) warning("existing file ", file, " will be overwritten with 'append=FALSE'") if (!file.exists(file) && append) warning("new file ", file, " will have no header with 'append=TRUE'") hits <- data.frame(seqname=rep.int(seqname, length(matches)), start=start(matches), end=end(matches), strand=rep.int(strand, length(matches)), patternID=names(matches), check.names=FALSE) write.table(hits, file=file, append=append, quote=FALSE, sep="\t", row.names=FALSE, col.names=!append) } runAnalysis1 <- function(dict0, outfile="") { library(BSgenome.Celegans.UCSC.ce2) seqnames <- seqnames(Celegans) seqnames_in1string <- paste(seqnames, collapse=", ") cat("Target:", providerVersion(Celegans), "chromosomes", seqnames_in1string, "\n") append <- FALSE for (seqname in seqnames) { subject <- Celegans[[seqname]] cat(">>> Finding all hits in chromosome", seqname, "...\n") for (i in seq_len(length(dict0))) { patternID <- names(dict0)[i] pattern <- dict0[[i]] plus_matches <- matchPattern(pattern, subject) names(plus_matches) <- rep.int(patternID, length(plus_matches)) writeHits(seqname, plus_matches, "+", file=outfile, append=append) append <- TRUE rcpattern <- reverseComplement(pattern) minus_matches <- matchPattern(rcpattern, subject) names(minus_matches) <- rep.int(patternID, length(minus_matches)) writeHits(seqname, minus_matches, "-", file=outfile, append=append) } cat(">>> DONE\n") } } @ Some important notes about the implementation of the \Rfunction{runAnalysis1} function: \begin{itemize} \item{} \Robject{subject <- Celegans[[seqname]]} is the code that actually loads a chromosome sequence into memory. Using only one sequence at a time is a good practice to avoid memory allocation problems on a machine with a limited amount of memory. For example, loading all the human chromosome sequences in memory would require more than 3GB of memory! \item{} We have 2 nested \Robject{for} loops: the outer loop walks thru the target (7 chromosomes) and the inner loop walks thru the set of patterns. Doing the other way around would be very inefficient, especially with a bigger number of patterns because this would require to load each chromosome sequence into memory as many times as the number of patterns. \Rfunction{runAnalysis1} loads each sequence only once. \item{} We find the matches in the minus strand (\Robject{minus_matches}) by first taking the reverse complement of the current pattern (with \Robject{rcpattern <- reverseComplement(pattern)}) and NOT by taking the reverse complement of the current subject. \end{itemize} Now we are ready to run the analysis and put the results in the \Robject{"ce2dict0_ana1.txt"} file: <>= runAnalysis1(ce2dict0, outfile="ce2dict0_ana1.txt") @ Here is some very simple example of post analysis: \begin{itemize} \item{} Get the total number of hits: <>= hits1 <- read.table("ce2dict0_ana1.txt", header=TRUE) nrow(hits1) @ \item{} Get the number of hits per chromosome: <>= table(hits1$seqname) @ \item{} Get the number of hits per pattern: <>= hits1_table <- table(hits1$patternID) hits1_table @ \item{} Get the pattern(s) with the higher number of hits: <>= hits1_table[hits1_table == max(hits1_table)] # pattern(s) with more hits @ \item{} Get the pattern(s) with no hits: <>= setdiff(names(ce2dict0), hits1$patternID) # pattern(s) with no hits @ \item{} And finally a function that can be used to plot the hits: <>= plotGenomeHits <- function(bsgenome, seqnames, hits) { chrlengths <- seqlengths(bsgenome)[seqnames] XMAX <- max(chrlengths) YMAX <- length(seqnames) plot.new() plot.window(c(1, XMAX), c(0, YMAX)) axis(1) axis(2, at=seq_len(length(seqnames)), labels=rev(seqnames), tick=FALSE, las=1) ## Plot the chromosomes for (i in seq_len(length(seqnames))) lines(c(1, chrlengths[i]), c(YMAX + 1 - i, YMAX + 1 - i), type="l") ## Plot the hits for (i in seq_len(nrow(hits))) { seqname <- hits$seqname[i] y0 <- YMAX + 1 - match(seqname, seqnames) if (hits$strand[i] == "+") { y <- y0 + 0.05 col <- "red" } else { y <- y0 - 0.05 col <- "blue" } lines(c(hits$start[i], hits$end[i]), c(y, y), type="l", col=col, lwd=3) } } @ Plot the hits found by \Rfunction{runAnalysis1} with: <>= plotGenomeHits(Celegans, seqnames(Celegans), hits1) @ \end{itemize} % --------------------------------------------------------------------------- \section{Some precautions when using \Rmethod{matchPattern}} Improper use of \Rmethod{matchPattern} (or \Rmethod{countPattern}) can affect performance. If needed, the \Rmethod{matchPattern} and \Rmethod{countPattern} methods convert their first argument (the pattern) to an object of the same class than their second argument (the subject) before they pass it to the subroutine that actually implements the fast search algorithm. So if you need to reuse the same pattern a high number of times, it's a good idea to convert it {\it before} to pass it to the \Rmethod{matchPattern} or \Rmethod{countPattern} method. This way the conversion is done only once: <>= library(hgu95av2probe) tmpseq <- DNAStringSet(hgu95av2probe$sequence) someStats <- function(v) { GC <- DNAString("GC") CG <- DNAString("CG") sapply(seq_len(length(v)), function(i) { y <- v[[i]] c(alphabetFrequency(y)[1:4], GC=countPattern(GC, y), CG=countPattern(CG, y)) } ) } someStats(tmpseq[1:10]) @ % The above example is Raphael's use case discussed on BioC on Feb 2006. % In Biostrings 1, the equivalent would be: % src <- sapply(1:100, % function(i) { % paste(sample(c("A","C","G","T"), 25, replace=TRUE), % collapse="") % } % ) % tmpseq <- DNAString(src) % someStats <- function(v) % { % GC <- DNAString("GC") % CG <- DNAString("CG") % sapply(1:length(v), % function(i) { % y <- v[i] % c(alphabetFrequency(y)[2:5], % GC=length(matchDNAPattern(GC, y)), % CG=length(matchDNAPattern(CG, y))) % } % ) % } % someStats(tmpseq[1:10]) % --------------------------------------------------------------------------- \section{Masking the chromosome sequences} Starting with Bioconductor 2.2, the chromosome sequences in a {\it BSgenome data package} can have built-in masks. Starting with Bioconductor 2.3, there can be up to 4 built-in masks per sequence. These will always be (in this order): (1) the mask of assembly gaps, (2) the mask of intra-contig ambiguities, (3) the mask of repeat regions that were determined by the RepeatMasker software, and (4) the mask of repeat regions that were determined by the Tandem Repeats Finder software (where only repeats with period less than or equal to 12 were kept). For a given package, all the sequences will always have the same number of masks. <>= library(BSgenome.Hsapiens.UCSC.hg19) chrY <- Hsapiens$chrY chrY chrM <- Hsapiens$chrM chrM @ The built-in masks are named consistenly across all the BSgenome data packages available in Bioconductor: \begin{table}[ht] \begin{center} \begin{tabular}{l|l|l|l} \hline Name & Active by default & Short description & Long description \\ \hline AGAPS & yes & assembly gaps & Masks the big N-blocks that have been placed between the contigs during the assembly. This mask is consistent with the Gap track from UCSC Genome Browser.\\ AMB & yes & intra-contig ambiguities & Masks any IUPAC ambiguity letter that was found in the contig regions of the original sequence. Note that only As, Cs, Gs and Ts remain unmasked when the AGAPS and AMB masks are both active (before SNPs are eventually injected, see below). \\ RM & no & RepeatMasker & Masks the repeat regions determined by the RepeatMasker software. This mask is consistent with the RepeatMasker track from UCSC Genome Browser. \\ TRF & no & Tandem Repeats Finder & Masks the tandem repeat regions that were determined by the Tandem Repeats Finder software (with period of 12 or less). \\ \hline \end{tabular} \end{center} \caption{The built-in masks provided by the BSgenome data packages.} \end{table} When displaying a masked sequence (here a \Rclass{MaskedDNAString} object), the {\it masked width} and {\it masked ratio} are reported for each individual mask, as well as for all the masks together, and for all the active masks together. The {\it masked width} is the total number of nucleotide positions that are masked and the {\it masked ratio} is the {\it masked width} divided by the length of the sequence. To activate a mask, use the \Rmethod{active} replacement method in conjonction with the \Rmethod{masks} method. For example, to activate the RepeatMasker mask, do: <>= active(masks(chrY))["RM"] <- TRUE chrY @ As you can see, the {\it masked width} for all the active masks together (i.e. the total number of nucleotide positions that are masked by at least one active mask) is now the same as for the first mask. This represents a {\it masked ratio} of about 83\%. Now when we use a function that is {\it mask aware}, like \Rfunction{alphabetFrequency}, the masked regions of the input sequence are ignored: <>= active(masks(chrY)) <- FALSE active(masks(chrY))["AGAPS"] <- TRUE alphabetFrequency(unmasked(chrY)) alphabetFrequency(chrY) @ This output indicates that, for this chromosome, the assembly gaps correspond exactly to the regions in the sequence that were filled with the letter N. Note that this is not always the case: sometimes Ns, and other IUPAC ambiguity letters, can be found inside the contigs. When coercing a \Rclass{MaskedXString} object to an \Rclass{XStringViews} object, each non-masked region in the original sequence is converted into a view on the sequence: <>= as(chrY, "XStringViews") @ This can be used in conjonction with the \Rmethod{gaps} method to see the gaps between the views i.e. the masked regions themselves: <>= gaps(as(chrY, "XStringViews")) @ To extract the sizes of the assembly gaps: <>= width(gaps(as(chrY, "XStringViews"))) @ Note that, if applied directly to \Robject{chrY}, \Rmethod{gaps} returns a \Rclass{MaskedDNAString} object with a single mask masking the regions that are not masked in the original object: <>= gaps(chrY) alphabetFrequency(gaps(chrY)) @ In fact, for any \Rclass{MaskedDNAString} object, the following should always be \Robject{TRUE}, whatever the masks are: <>= af0 <- alphabetFrequency(unmasked(chrY)) af1 <- alphabetFrequency(chrY) af2 <- alphabetFrequency(gaps(chrY)) all(af0 == af1 + af2) @ With all chrY masks active: <>= active(masks(chrY)) <- TRUE af1 <- alphabetFrequency(chrY) af1 gaps(chrY) af2 <- alphabetFrequency(gaps(chrY)) af2 all(af0 == af1 + af2) @ Now let's compare three different ways of finding all the occurences of the \Robject{"CANNTG"} consensus sequence in chrY. The Ns in this pattern need to be treated as wildcards i.e. they must match any letter in the subject. Without the mask feature, the first way to do it would be to use the \Robject{fixed=FALSE} option in the call to \Rfunction{matchPattern} (or \Rfunction{countPattern}): <>= Ebox <- "CANNTG" active(masks(chrY)) <- FALSE countPattern(Ebox, chrY, fixed=FALSE) @ The problem with this method is that the Ns in the subject are also treated as wildcards hence the abnormally high number of matches. A better method is to specify the {\it side} of the matching problem (i.e. {\it pattern} or {\it subject}) where the Ns should be treated as wildcards: <>= countPattern(Ebox, chrY, fixed=c(pattern=FALSE,subject=TRUE)) @ Finally, \Rfunction{countPattern} being {\it mask aware}, this can be achieved more efficiently by just masking the assembly gaps and ambiguities: <>= active(masks(chrY))[c("AGAPS", "AMB")] <- TRUE alphabetFrequency(chrY, baseOnly=TRUE) # no ambiguities countPattern(Ebox, chrY, fixed=FALSE) @ Note that some chromosomes can have Ns outside the assembly gaps: <>= chr2 <- Hsapiens$chr2 active(masks(chr2))[-2] <- FALSE alphabetFrequency(gaps(chr2)) @ so it is recommended to always keep the AMB mask active (in addition to the AGAPS mask) whatever the sequence is. Note that not all functions that work with an \Rclass{XString} input are {\it mask aware} but more will be added in the near future. However, most of the times there is a alternate way to exclude some arbitrary regions from an analysis without having to use {\it mask aware} functions. This is described below in the {\it Hard masking} section. % --------------------------------------------------------------------------- \section{Hard masking} coming soon... % --------------------------------------------------------------------------- \section{Injecting known SNPs in the chromosome sequences} coming soon... % --------------------------------------------------------------------------- \section{Finding all the patterns of a constant width dictionary in an entire genome} The \Rfunction{matchPDict} function can be used instead of \Rfunction{matchPattern} for the kind of analysis described in the {\it Finding an arbitrary nucleotide pattern in an entire genome} section but it will be much faster (between 100x and 10000x faster depending on the size of the input dictionary). Note that a current limitation of \Rfunction{matchPDict} is that it only works with a dictionary of DNA patterns where all the patterns have the same number of nucleotides (constant width dictionary). See \Rfunction{?matchPDict} for more information. Here is how our \Rfunction{runAnalysis1} function can be modified in order to use \Rfunction{matchPDict} instead of \Rfunction{matchPattern}: <>= runOneStrandAnalysis <- function(dict0, bsgenome, seqnames, strand, outfile="", append=FALSE) { cat("\nTarget: strand", strand, "of", providerVersion(bsgenome), "chromosomes", paste(seqnames, collapse=", "), "\n") if (strand == "-") dict0 <- reverseComplement(dict0) pdict <- PDict(dict0) for (seqname in seqnames) { subject <- bsgenome[[seqname]] cat(">>> Finding all hits in strand", strand, "of chromosome", seqname, "...\n") mindex <- matchPDict(pdict, subject) matches <- extractAllMatches(subject, mindex) writeHits(seqname, matches, strand, file=outfile, append=append) append <- TRUE cat(">>> DONE\n") } } runAnalysis2 <- function(dict0, outfile="") { library(BSgenome.Celegans.UCSC.ce2) seqnames <- seqnames(Celegans) runOneStrandAnalysis(dict0, Celegans, seqnames, "+", outfile=outfile, append=FALSE) runOneStrandAnalysis(dict0, Celegans, seqnames, "-", outfile=outfile, append=TRUE) } @ Remember that \Rfunction{matchPDict} only works if all the patterns in the input dictionary have the same length so for this 2nd analysis, we will truncate the patterns in \Robject{ce2dict0} to 15 nucleotides: <>= ce2dict0cw15 <- DNAStringSet(ce2dict0, end=15) @ Now we can run this 2nd analysis and put the results in the \Robject{"ce2dict0cw15_ana2.txt"} file: <>= runAnalysis2(ce2dict0cw15, outfile="ce2dict0cw15_ana2.txt") @ % --------------------------------------------------------------------------- \section{Session info} <>= sessionInfo() @ \end{document} BSgenome/inst/doc/GenomeSearching.pdf0000644000126300012640000063213112227133625021120 0ustar00biocbuildphs_compbio%PDF-1.4 %ÐÔÅØ 1 0 obj << /S /GoTo /D (section.1) >> endobj 4 0 obj (The Biostrings-based genome data packages) endobj 5 0 obj << /S /GoTo /D (section.2) >> endobj 8 0 obj (Finding an arbitrary nucleotide pattern in a chromosome) endobj 9 0 obj << /S /GoTo /D (section.3) >> endobj 12 0 obj (Finding an arbitrary nucleotide pattern in an entire genome) endobj 13 0 obj << /S /GoTo /D (section.4) >> endobj 16 0 obj (Some precautions when using matchPattern) endobj 17 0 obj << /S /GoTo /D (section.5) >> endobj 20 0 obj (Masking the chromosome sequences) endobj 21 0 obj << /S /GoTo /D (section.6) >> endobj 24 0 obj (Hard masking) endobj 25 0 obj << /S /GoTo /D (section.7) >> endobj 28 0 obj (Injecting known SNPs in the chromosome sequences) endobj 29 0 obj << /S /GoTo /D (section.8) >> endobj 32 0 obj (Finding all the patterns of a constant width dictionary in an entire genome) endobj 33 0 obj << /S /GoTo /D (section.9) >> endobj 36 0 obj (Session info) endobj 37 0 obj << /S /GoTo /D [38 0 R /Fit ] >> endobj 50 0 obj << /Length 2459 /Filter /FlateDecode >> stream xÚÅYËrÛÈÝû+¸«Ì6úMj<×$O\‘vq0 IŒH‚!@«ô÷s_Ýhà8®ÊÔ,$õ»ïóÜÓÐûû7ï>X¿Ð¥2ºp‹û‡E¥U]º…w•ª]µ¸ß,þ•ýô9×~©³5ül[øuXŸ Ë•Íóì‘:øµoy¤oèÖ¸è ·Ð=òô ö‡'î¼ÇN×ãÈiË‹tÖãœÎٷᥞÕòÔ{hÞáÒŒ—ãbÞ84Ëßÿmar­œ-+ziÑçˆk@¼2{^6kè ׿û ë…†¥EaÐ+­âÜé Å–£4¼"¤o':’5œ <… |¢²»ér6ZØE>zZå{2Ë[(×ÚW!Zcrµ(_Ó(Þút·"ÁÏֆ֨ڔ㵠–•Ó¤“åG„Çì[‰PX-?D?Œl¤âBÇedž¨û¥bL;¤þ\—Ÿ*#Ü‹[MQ 1€v Ž£x8Çbyâ%y`UQ@óüÅìÿº•p¢¤„Y®FD _Où€‡‚(häX”Äðp#K˹ΦªØÆ’iª””4¾N¤êø¯õ¸ ,£•k:Ôè±9ˆ³ú½ ‘ÄŒ%5bÏ9cæµsF"Z¡ œaìhFfŸ"³®”†‰º‹•¡*V!Ø‚Ðq¶æ¬Ѓ6q€b8}\ÌÞP„¨&l˜ ]ÊÕ1 „Aqê[V1ÁrÔòÂú™âÊ–Sû3®f›µ º¦¶Ê»zjû^“ٱy(ÃØì9 Ež†¿T±Í½°¥€zås^è퉿^—•Ë~£6 Wr7Ú=·Ù):zè,zá%ÌÑk½Ê++.ð¬øckŸÄÆй«G¹ ‡´¹öå,,f·Áܬe6R†:(´#9 Ô· ·Lª&vC†=œ†nF>†“ÜBeˆ¢;F9¯ãùT«;žQº–ž´ås^äËQ’m?ÎÁ0ž0Oh Œl­G„ƒöZ<&_.è³…Ö)T`wÄ7=Ç Æ‹£éµ=׬š©røVÄ?•J‰yI¯MZJƒ1/Cƒ£ “¨¦¬zÚ|¥´ ÿÔôøñ¤Óîâó‘Ö#YuåäÓNÏCÌjám1²Zm6IÇ-£96Éykº½—¯ØBÅt‘ýÒ ò±ÄMi_¦…¥­ä8ïä"úTúœü{É8þ|s— ˆc“ï>®š-SA¹êÐ ¡\›ŽbÐBWÙftêyŸPvI]S¼%Ò¡;f tFQ3¥ r-”¤Ž…«{á¿Ð ‰m²î:rŸ²FW !b)’_÷cL(ƒEû+ñË8ŒN@PW·j ˆ*êX4ž$(‡%“Ó?ÁÏ;ù…‘ñ_~’! %§TÀw¾aú —5rö&9·—±ý ü=¾ ø%8ÈÚÝ ±‚H¨Ü”XO1!²Œ®…ñ-ÿ+ÉÚIe'< å(a?´N†_C` á°± p ˆ&鮽òžÏN+_ÅÿñÁÔ›Ÿîßü [F) endstream endobj 38 0 obj << /Type /Page /Contents 50 0 R /Resources 49 0 R /MediaBox [0 0 612 792] /Parent 64 0 R /Annots [ 39 0 R 40 0 R 41 0 R 42 0 R 43 0 R 44 0 R 45 0 R 46 0 R 47 0 R 48 0 R 63 0 R ] >> endobj 39 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 507.028 315.273 517.828] /A << /S /GoTo /D (section.1) >> >> endobj 40 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 485.11 382.41 495.91] /A << /S /GoTo /D (section.2) >> >> endobj 41 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 463.193 397.453 473.992] /A << /S /GoTo /D (section.3) >> >> endobj 42 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 441.275 316.557 452.074] /A << /S /GoTo /D (section.4) >> >> endobj 43 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 419.357 275.363 430.156] /A << /S /GoTo /D (section.5) >> >> endobj 44 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 397.439 165.466 408.239] /A << /S /GoTo /D (section.6) >> >> endobj 45 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 375.521 358.43 386.321] /A << /S /GoTo /D (section.7) >> >> endobj 46 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 353.604 473.357 364.403] /A << /S /GoTo /D (section.8) >> >> endobj 47 0 obj << /Type /Annot /Subtype /Link /Border[0 0 1]/H/I/C[1 0 0] /Rect [78.204 333.618 153.59 342.485] /A << /S /GoTo /D (section.9) >> >> endobj 48 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [441.796 109.021 548.197 120.882] /Subtype/Link/A<> >> endobj 63 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [78.204 97.066 195.046 108.926] /Subtype/Link/A<> >> endobj 51 0 obj << /D [38 0 R /XYZ 78.2 705.06 null] >> endobj 52 0 obj << /D [38 0 R /XYZ 79.2 700.753 null] >> endobj 56 0 obj << /D [38 0 R /XYZ 79.2 522.022 null] >> endobj 2 0 obj << /D [38 0 R /XYZ 79.2 319.621 null] >> endobj 49 0 obj << /Font << /F36 53 0 R /F19 54 0 R /F43 55 0 R /F48 57 0 R /F52 58 0 R /F8 59 0 R /F56 60 0 R /F58 61 0 R /F59 62 0 R >> /ProcSet [ /PDF /Text ] >> endobj 68 0 obj << /Length 2481 /Filter /FlateDecode >> stream xÚ½ÙnGòÝ_!hÈ0ÛÓ=·6X 1àYd!9^ÀÉÃh8"“™CÊ°Ÿºúrh@ò@«§º»ººîªöÅõ«7ïÒäL§*Issv}{VTÊœåU¬ŠJŸ]ÏÎ>Ef2ÕÚdÑ»‰Ž–›Ùþlæ“iRdQc?ÜÂïf¹Ã}>àT +훀ÚþÙ!ŠYËûîpå÷´[mé°†1,p¾[ã?½µ“ß®|ó®<«T•›/ŸMVe\2õï“)#¾ 2&„׫œé]sö’× dLL@ºô¶_ï6Ö©¸è$Hßì%í‘ LÞý1жýJb(]nɪg6xÍ€gß ¦…­›,]¢n´~íâ ìº ˆq¬OëÛIŸ¦Ke 'þïÅIÜË_Ç-©DV;åÜÆ‚~¡Ê<=ô+IÅ2wuXåSÅ ‹Óƒ_wÙØŸ©»9œ‹è¦Õg¬Õ0c­ô¸õV.ãemNJ’Õ@f3®o‹0<÷ªÞÛ¬z¾òÀÔ.K£ß[Ö]Ö#œ¶õíJJµæ[fCn†…¸†/#aï_€Ý$.ÜØ Uþ>p-Œõ‰å‘`xy¨æ‚j#k ±ÐáÈzcKï‘z6 ´÷TK¸®Ëg[*ßþ”ŸÔ˜'·?*-íO¸uôßéüo%Òùºóqõ¡‹¡|Ó£ìø(wÝr݆ÇÙ0¢ÿs $$gHŽ¯Q9õõÁy[ÈÄ(l>¾s(hëéKÓ´(éð~§U\Ⱦ³]ñàK9߶&„졤_ŠŽ–ÜØ]’$W‘Ó¼>étžJÓ³ ÕÒzÌ?þF15–_úò7Z<ÇÅñÎ{OËGa±ŠŸ«…–¡Ñ‘•?Æ&ñ_$9±ظª‘]-ñ?׃ð–A hÃÛw#6ó~Á÷º/rh}üG¤¹ªÊôÉG’K ¾”F‰9’¢ÆJͶQ ï!ËŠ«ìFð‘µ~.N‹£¹_Föü2‚ÿ#°ŸóP×"ÃUà%îþ2q'°S?KÞëÈ ñ‹e^•*©’q™ï…=½°k˜ðZÌ-v?–ïc{Ì ödƒ=£V|Zæ"©ýÐyø´n„¡Eغ~”¡ÿC ¾…»~îös# ”©<ºþ`Âòi œ•êgQsÄ :Š¤rÀ¡Íéš ÒÛ)—%,%¬Iÿ;sñT$Sn4HGžÍ„•Eš©¸t<°T¬G:uP§%±–:–ÂSogi¥Œö<ãYþ”Ê 'ûú ªÁ~˜N?–þeéíù˜•…ï2[Oäë'äýçßH³^JÞAA)åùa"ëêÉ2åæúaé‡Ý¨]êÇ"x+,³ƒ§8À@‰ƒTÚØ;<Â|Í­°Î62V•€²³OHó¥'ŒçvmËã°Ë$'÷< Þ\e¿{sãRœÖ®éBù©&ÿöõéÆ7¥¨Ã-ÜB™¦i9úg¥…m·””:Ê=ÞUÌ- ê:Hs‚yOXoðãÇËðs¹±üÁ€ñ瓪,vv.Í›sGê¸-[ª2÷˃¼"ãi¶A„ã–/ï¦÷ÔGáV7, ‡$Þ4”(Ä$|A¡ûˆF“¾u¥©É•ie6+Ûl¿[{©<›£×£Æ<'ü­e9÷èfö 9·ªU±_ööMPÚûônÐH'‰ž&G|l*–9Rê_Aû(b=·®rgâ»E7É€G#ðÅZ>üâ»Gë_k\Cƾ˜Ü?›ç^Ë°ÛÛ‡.XQ7¶Õ÷þ1¥ ÞU\ç$UðWCIöOo=V4?;R l Ñ`3ö}•É+û_Y`Ý«®_ý 6q: endstream endobj 67 0 obj << /Type /Page /Contents 68 0 R /Resources 66 0 R /MediaBox [0 0 612 792] /Parent 64 0 R /Annots [ 65 0 R ] >> endobj 65 0 obj << /Type /Annot /Border[0 0 1]/H/I/C[0 1 1] /Rect [78.204 582.089 325.556 593.207] /Subtype/Link/A<> >> endobj 69 0 obj << /D [67 0 R /XYZ 78.2 705.06 null] >> endobj 6 0 obj << /D [67 0 R /XYZ 79.2 700.753 null] >> endobj 66 0 obj << /Font << /F43 55 0 R /F8 59 0 R /F59 62 0 R /F58 61 0 R /F56 60 0 R /F62 70 0 R /F61 71 0 R >> /ProcSet [ /PDF /Text ] >> endobj 74 0 obj << /Length 2314 /Filter /FlateDecode >> stream xÚÅZÝs㶿¿Â“éLäi… À›N;qÒ»^2¹‡F¹¶“ä&iY­%*¤tÿ÷Ù/ Eê,'m`P°XìÇowA߬^|öÊfW™Êb_­î®’Lé«8 T’…W«òêûÅ÷×á"„öãõÒêhñ <~-‡VAÛA«¡5Ðîåý-´ÚÚAú–—ã’Yº–é;ô«¯>{kŸàj©Cg3󦲗 qã÷²A)Tñý „Ïs´÷È`´ç„¾âßJŽs}çï¼çVÆkaù}ªBê‹tÑʪŸ„de+ïÚÿ×÷"±7Äù2´I89æÆ“ÌŽËœ9òïÎxwfûûæ"ÚŠÄ~O¡¡í…ÈANQy|àôÀkŸ<}©~þR{²”ΖzG ÊŒž½¸ª®—‘ÖDöžÈÒO¤šïøwÎ×2p‡~Ùà3°Â XŽ±¿Yª ¤I»Ü ^¬jÖÛ~ÏŸÉTX·¦@Åå-Ã'nKz=U˜NT¦nÕ_aþ ÓzÓsÛÆ*K#@fAGë©AÊÔ¡áÖ[ÆC%z™<8¨?ðâúŽû¼(È.[ñá„]_/u²([™¾+E®8\ Ñ™½Ù@:¼Z¢h­e~ @[d¬Ùˆ‰¸°SïpWE‹îý¥oëkØúlEÐÁ3&‚Ó6ò@F–ã<ëÀ㣠rí^œ,G 2¯¸ÖéâžÀ~[ÓÙ· Ž¼œð÷eÇa¦c^ÿ1Wþà VšI(c¡ñ‡žß¤ÒyŽ -½=¾qÎ-¿„öÚçbsÎ57ÂÞº÷âÇñÁ;AáÌÎ.LúZòáî%Sz-ð†m%›cû½Þ+¯­¼±×Þšßâýêb:OÂÀ·µsä,é@0GGÎb8Iâp¼·ì7ü¢uÊ9Ö=©¢nP·äšèéõN²ž¶ß¯ö¶žÂRZ•¤ÚAÓd²¹¶¨3ŠU’DnAë¬2çÍi7 “ù¯m ¶xº«5*ŒG£d ²x:ËHx8ÝÀ8ÑÝšº™ Z¥QwgÝ»vœu ³?N¯›²Gk—=6’jV“"ÒÆ\Àê¡àØžRZæ,¡ëHèW À?†CÁd #qäâþ»/(ÉþÿrÊÃçuµóPfMh>È«9‘†|d->Žåx$$oÌ¢$Ëü”ôzŽ(Óû!CÇVÎàDm´]´ÄK/ð'M>Ê"öCéw냷3ù>þ$‰¡Š¹è²ÝF* R/]º@þSuFž±ÃœªÂ_ïP]~CÒyšW©Fɼ ã/ß6^¦<ç\&Rib/ »#.× `s®2~Š×v®µusʽ¢@…&¾€Ëz?BiÓ` ]iž ¢7A&¶ }r`ëðšž ôÊ?(»­[ôMñ¾xq Ð/*To~lx–Ú ™©`"4 IÇ=z¼¦Ä©å‘A"¦ ÁØâm5åQ˜ª H. .qwú8Ãñ-zøc/+ð PH‡Þñ½$7²¨'C4 úÉ1¦ÁÉuB—\G·œék£œø‚ú )ÌÑ€ 7Tô؉ïJgÍ9þN¸Ô!u²#¯E87ozZ»š{þ™ŽÝåÞ„¤íK<¤é3ùGžOƒýïY˜ÕÙ­™À(;Öüù0¯5È!âtÁØÚM 4Â0ŽMç7Zð–ªÄOyh° su!Ž«>TŠT¹òðy¦[¨Æ¿šs…îûÑíP%‰Ÿ«ìö^²¾õ*¿ <Í¥u:’e[7ýùJW§Q8{p•h²ÈÙÿêãÏꀟ›¡4ÄZq••„KZ²”M:TÁT0„1ªB¨94½œÛFJ§=LÂ)¬Yü™)ì06ɨBC®’´Ë{“d±Ùö)lã*ñ7šàYXF2Üò˜ hÕôóîÉá ñˆÒÔ¥&¸|!/¼¶¨dÖ|rl3eÃì9=ΤÈÀNŸj LßLº Š¸Ca֎ʸa0%å¬*Ý”¾F¸ªx˜ )oëÿt;Úl$ÁØ ¾iÎAW7`' 'Ì äèæryA²šyycôLòxl½ª FŠ\XtIÝsÀï–î@0x=”îRŽˆ ]JȽBG« ~N̆Wbµ,Sv(*¥Ã¾ñcE=/+©°Ï+ž².Øt^H¸ÏŽ%„Úô¡ÊªÈ{x¯Š—82.MZ÷ï‰ûØËÑ»•Ší¹Š2Sq”=Ë’äìù8^ “sxMÁ‚ŽÏý \o:œ§1/™ZŠK…|78p)ÿf ñÖÝ?¡S"’ì†2;6à aêIá·4ZÙ.Ëí2ë¾µSº‰éŠâ¢bßfg€,›«™| ˆ@ÖCÛ©â\y^öd(ÍÑ”ÓÐÝ+w÷–ÚDCåÍšf˜¨Ôvéå+§¾Ò>ÖŽœGœá·ÍÁÕQ9; —˜G¹^cmô¤š””ÊÒé{7ª•M·©ø Åšv%ìà‚y;u{‘›¢A®\ô׳@%`Ï€tŽ%"úÀ÷ew;\ùN¾ÃŒîÝ%.. ÃG)ÐwÓTEq6Ê+H|ïÚ2§ô-’ ÿîγá"’F\¸Ž¢ó…6Ýe>+ÌX{&ÌÀ¶%_Êó]ót¦ÉWª€áÝ͸š—ó=ÄÿÞ’´å†×ßé–Bq5/çFðj&_FF ûˆœ‹`ð¶qY¦»6–,¡ä¹œzî/½5ÞˆÓ«?ÓuËóïÔ»[šx°ÓƒçkÇnÿ%nüñ#_Þôä—·ówõOþÖÕ}‡`•RŠÉ‚&S#“o/•4ÊínRʹHx?ú÷Eá•Wàtøì}xü¸Ç7g'§<"»àþµô+é¿‘þÒÿSúo¥ÿ·ô_»€Í[øœùŸVRQgLZ&ŽµüÌ %¢ü„ÚÉp$« 56ÑÐû” _Á“{äÀ¾û;™ñwé¿”þFú·Ò/¥ÿã”v‚ç°3 *AYKêËTš¦L—\àÅßV/~Œ@… endstream endobj 73 0 obj << /Type /Page /Contents 74 0 R /Resources 72 0 R /MediaBox [0 0 612 792] /Parent 64 0 R >> endobj 75 0 obj << /D [73 0 R /XYZ 78.2 705.06 null] >> endobj 72 0 obj << /Font << /F59 62 0 R /F62 70 0 R /F8 59 0 R /F56 60 0 R >> /ProcSet [ /PDF /Text ] >> endobj 78 0 obj << /Length 1562 /Filter /FlateDecode >> stream xÚ½XYo7~ϯü´²ÌòÚ£h 8iš¦(Ò¢QÓŽkm+Ñ…])NúëËá ¹¤D9V‚æX^spøÍpfŸŒ<ú¥£†5¥(Gã«QÕ01*›‚U §£óì§Ó\ ™õ§<Ûš¶0ím¡ ó™˜veÚ œâ¸ñ±=ÆîÜt[Ó–¦]›¶1íf ¿¤aò¸ÿöèÝ*£\pVVõ97;¹i(clº™ö·iϺˆ¹bR1‡§«­UJTF£\J‘M@Ó9É.r%MW,!œåüÒfO˜ÐLUÊí^L6ö¢În€²Y2[]¡Ìµ]†ÖvVý“ך Ù8~'f×™iOƒãçAƒ¹“}ÅtÅ”ðÇø7D÷ž Q±BU£œ7¬’ñݯ­Ém÷GÓͱ{”>p‹œ³Fëˆ3rEÈZ’9þ$hyóD–rÖ„‡—oRq?ðü>3$àRÛÓ\5µuˆU¿AeÛ½W»àÁPYMgÞ+,ð¢-Œ/7´¸ZöH8 °éVO ùÄÑõ›Îñ¿î÷¤8ãEé¨À~²ö~Ù&Œ&JÖÂw_{ÒËŠ•…tÌ&Àaš’Y°¦©¼üÝM+Ó mih®DÍobœö[‚Ûú47w·êÏ…¬/½ÊÖü_ŠR1¥ÊT´ðè`æ~ÏþXÚ#æ²ÔÙ•UaKÌwGÂìl’%,•– Ç]{¥v– ŒÍYoi’ä{šZ 9O¢ú÷ÛØyÉCCâ…Åj"†·QŸã’.£Dýjù´GoÉ¡¿¯8LRp_¬z² D_kÊT,’¡ïÿ P4íýÉßVoÚêׯŠoÂt¥iú~qîÒesƒV¼+F(ÁêáúVÕнË_Ñ€p›ƒRvˆx]N¢í;O¯%k 1úÚž2‚ŽÖ{ëwSœAWBˆ-¡À<Ùºµ;Á›WÀ¡#ßàÙkP Û?¿dºäŽzõB@ö¾u&H>Þ ¢´PI/’÷q—ôq} YXÐ6¶²¦àYi¾I^˜àÊcH¿&5ã[¶+¼OèNðí›ð N\ÓWQ_ZrŸÛÆƲä?›îKJ†^Ñr?úaFýδ÷ÄÁ?Æt‚è5:HÖ°\ŸÙؘ”8 ²±ï5Ï‚v¶“ŽÚ¯Í'¬{ˆ ƒ´‡›¬aÏú‚/æ¹(íKœ)ÞÀ-1úŠÇÞgŠãNˆæ„±Ê‡jÀÞÁ¥ÚÈ/y“5¸åü@>¾k‹Èå ‰ˆ N¢ÜÃQ¦—”m÷ÒäùN»HÝÉ9ñ&MT Ɖ•é%ü¥ÉYh“ý„ ŒAB0'ôÔ(8.¾åy†jêÍÁ€ÁÁë@eFðnPî¡Ý|Baãõ¯‰ïÉ18¡®¯9H”Ú}º Meãƒ%ˆ©Yš2L/?&ûf5—w¦¹*Jg¦%¥¹05KÕ]UP÷.»4ãÚS ü[2:÷ŒlÝcÛãBÚÀÊ8ôl7µuHm<Ñ|)M‡=óè ë†PgØN‹%Œ¥Å@V(&¸ŽáÖ÷Ï®¿”¤³ŽÃyÀ1¾7úŽ@ ¾t{„d ç1#q£&bó‘Gð©ïçV/W,yr¥*ãdÉÞT¾Z½‡ñ¡¨_8@Ý`&n“f•Ízú.ñ{å U©m‰)5†¦Î¡Ö·6Òv¸ “¾Å¦òÊ‘P>žRiyé³v`õo;¡¥ë¢b²ôéº-%g×­¯ûÒ‘åîÀªÝÞ8Ïrª/é ùŒþ$ka’w¿Ço¹T–fíÞ›Ëî¢]‚‹ŒþÒÌÃÕÁ`©MÂÌåËì© 2]ÀÆ4 +§µGö"&ñY¤ÿmuÑn¹ 9év‹3Ú|;#½æn¯y¥½ÒSJ–:û—´ÇRËýà&mªw~ʼp•ýäÆÈ›¬×ÈyèáþLPÜÂŒbš O ƒËŠ©Ê#Ûþ5^ºBøi>gAy³I~]ÏòàšÓΈÓÝrÒ›m(Y[û $¬çþÏ…Á,+¥AŒhX]×È[Áʃgãÿö‰[] endstream endobj 77 0 obj << /Type /Page /Contents 78 0 R /Resources 76 0 R /MediaBox [0 0 612 792] /Parent 64 0 R >> endobj 79 0 obj << /D [77 0 R /XYZ 78.2 705.06 null] >> endobj 76 0 obj << /Font << /F62 70 0 R /F59 62 0 R /F8 59 0 R /F56 60 0 R /F58 61 0 R >> /ProcSet [ /PDF /Text ] >> endobj 82 0 obj << /Length 1957 /Filter /FlateDecode >> stream xÚÅXIsÜD¾çW >iªE½h£U&Ä©¤ Pd€ƒãƒ<’íI%#)1þ÷¼­µŒ46&!ºÔêåõ[¾þÞ“¾_?yzéE꧑Žë‹Eœúz¥§j±Î§ÞwËU¨w³Tžæî·Ð]q÷è¾v í-´Z m ­„v í]ð8’eØ^B{.mý ãG,^-ÏÖ¯Áb¥”Ÿ†áHïëY½q4}7Ю ý2ÃVˆ-eo;Ay_³·W½ê‡ð¿ ùЮÅ!ô÷~&R'–D3–(ïš‚ö 4 í ÷<= ÓAUà[«+­üÄÆ,æwQíº%uHlE&R7ã ¡¡Å‰<­ô ùPy;4vÖ?Ä-Co|€ví½HØÐrtÁÊY0tÄá-è ’ú¹õ©ãþ ¹ù—ƒùõ'Ž¯-gæŠ|œ ýˆ uà'‰¯nÄәijeÖœ_oEf.«¯8œsÏ–0†„+µ„ÈÛ˜ÆׄA’~*ÓŸ+lgsn9•‹†zE*…»À‡jº3:}~8ÔË ü¥þ2¬Ï—×-êu³{ºÅÝ¢/¨Û^J Æ48ÍgψƒͱNn2A3J:~|!Î@m…öÛ£Æ[•LrÄ}©f>¶ºOJß;àü<¤ø¡ÝRm|Ws8qú>q.Ÿ¸ôs9ÈÙbg°—U鈽3ÌqÆø;{Dô¯Žxz’ ó¼õSkÇ__‘„•1†Ò4á¡ÅwíUü,°6É62JHi7KxWW¸9ZÇ~+z@.SHíÓËσ{ò7pÍŸ#ÑzU{5|•“ªs—v¶¨N‘óšÛm—_$gíÝ•sJý$>XHÝOg–)_27T.JY–MËÐ8_&¨ð¢2Š­§Apÿ\ hÔ'ñ´z¬oúQœ8Q :½ÂJl—³†²Øé^ü)uZ¶ë©f4L´oÒÔIÝÐ*Þé.ÄÿZ“ßsíÒÄ7qä4÷y…5Wc‡@ NÓX Œ`y©zW:¤ô°-sº/P›8$ʾ‹œo©x¦×;œ²°Â€‹6ôVKÅVÁûnÈ rTÝKÛ–“ ƒ ·µ€F‰zÊêšF&F 剃ëB~ ;C¬%üÜO;`ñèjÏqCë`œó&BSÍ}â -¼kº0ÑÌ@POHŒ«híë4vá¹À]5¦Y½„­ùÔ6ùFuñâ›쇦, Cƒ>:d6óž3ÆMØÝ÷AÄLjiÄ à+²{×›ëH^Ÿû¼¤ à_ÒvÙ½Ao;ØW×UÃAlí\€'; •ýDž)˜Roj÷IEÇÞîn™X¼B8å`%̼í™|/; 1=N±ßãÄè.¼Ë3Êx‡ïzÀófŸI£q5òN«`ì)„.I¦òaz#ÌÓòX.zoZéTdÜBúÔ„;x?Ë–z  ©xÛ†Ÿ™HIKðRƒ§&^Ë:Þs¤×"•@Iˆù•£NÛn²G–r¾¸>UNæîZô+ñ®~ظúÊ©–s™0AäN}v!ð)o#ë©ß%’ØÕ!Og C’Þ„¼—McïyÃ\ý—²ÆÕ(e͆ÐY¥¨ à4¼'òJ9íMãH‘¿JLê½jYÜÖ‰°|«Zê 7Yʱ, ZiïøíO9vZ+»sV[(`vÎsù|<,ôŽ$½’°:ˆIÜIM’ŽŽfÒp åBاUhSïm!PŽW)L™ËÅÆíäìƒ:låŒIRJ×@/;~k©âH"rrÛv¹·áX˜ÏJdêìþ”±î‡@+HÍ;£ùd5Å’dJH0AM2ñ-ͺ*¹$¾›§]ð¾ò#“Ì€xxWFÅlŒŠ;&£‹ ï9îÙ¯õ5Ÿ)”¥"yaÆx¡ g €™È‘jA÷­åΓ(ë®?é®7[PùD AWí t,øµ®D—nyOÐlÜŠ„Pá]Ë–.ÉL¥Mx„ f863´°Çþ:…±ÃtÚ¥ò»oT$W4ÙõøãcPû3YaÅdOõu?:+Ø”“Aó²ÿ‹*„Âm@ú“U0Ò•¥•,hø‡%ÜTï}‡<"(Z8Ãg{¨–ÑAì}iráˆëöp-û±VÖ2:€Ä>¾– }eÕáZm¦lª.‚äÇá-yËœ¡Bƒ¾|3`*VLø‰6c˜¬qVànW–ûM÷B0ÙÈ7§ÕqÇ󰪥lGW¡O1„ø,z ^ß)tmi›¤6Çt€òržÉ\‡ ßÊJþ”ÒünÇ!TíßJ—MÆ8 ‰Ñî{·ì ˜ ~CÒ™ùÃÐWýçSSg+8†õ¥ûѲvð…êvdR¹e> endobj 83 0 obj << /D [81 0 R /XYZ 78.2 705.06 null] >> endobj 10 0 obj << /D [81 0 R /XYZ 79.2 263.669 null] >> endobj 80 0 obj << /Font << /F62 70 0 R /F59 62 0 R /F8 59 0 R /F43 55 0 R /F56 60 0 R /F63 84 0 R >> /ProcSet [ /PDF /Text ] >> endobj 87 0 obj << /Length 2400 /Filter /FlateDecode >> stream xÚµZ[oÛÈ~ϯðæa—F,.‡wM ÇM¼[l[ UчdQÐm©+‰ )[)ýï=·á G¤,΃¬¹žùÎýÌÈo§/~|ŸFg…_¤az6½=+b_ÅéYZ~V¨³éüì£÷)TÁù¯Ó¿üø>·WBK¼äݹò¾”3ø»;ŸDQèÕ ~GÞ†6ð©¾ÀŸr&³kììàÏì<̼4–¸èîOç“<Ͻç±W1²Áݼ …¹‡û*méy#­eG¯^ÐÞðÛoD²Û2W½¯å­{w½Ý 8’%BzïÑ!‡E¹.¿È†5š cHFæ‡6²cƒáE+öÀM‘'Õ¢ª7÷ÑCq·ö lžø­Ù#MŒYçïQÖ9YÄÈÚŠÛ43$P·õ­Ž–©÷îË9[:i$&¦3eßµp¤Ü8~%ª‚)‰ Âë‚r-ô|v°¡¹½—3 ÝÉÚ]¸·C\bR4KC­¼ÑÑ°ÜUd 4…ÆãrîžY„Cd€Œ@Ú+¬¤?'3‚3¬™ª=ܸX B°¦¼wº Ö+ò°Þ´E4=ˆÕJÌš; L¶fw¡Í¢æQgÓÈÛ/¥¿â7$ýª— ­ŒÚ%‹¶Ëð…Ä$Ùñ5§¼ØÎy-T¹dÇ‚!þ~˜”:3RªøŒ³·c:Ì3ËðB=ÃÀz˂ΤJ`Ük™Ù³fÍvÍ—tk™EŽ§è ds­)zLNþD%~G§ñ¸;—,¡~žqôéj&]éÜURÜáøƒ¥Ñ“+vtÍÂÐöÕ¥ܘÏÛqQtFûlW:3½æB¯ÜØ…›-Ôô®"m¦EŸLÒY`3«eÑg¶o.‹çe“´ÛœK¥1Gf³˜âPÈÕy;ú‘*ØÓˆ\RXô²ÐWiGñÕቆzZ¢,PÓež$5Ò íÒ0cë›QVi—–ù<èzv:lñ&:Lú°ug¼ð§à¦‘“aÕórHáø®´˜ËõyŽanÐÂ<÷•z’)lu³ÓagóóŸÙÒ41å2á};”0úl–ïe=ÐaÏnô5E‡¹Îm°µú 3ܘÏ–±‰×5›ƒ{”r¨Â°Hà²XhV_ê’>¡øùRÆL@þ¥Q Ÿ—‡’Ë”¯òÈè\§eq̳ITäO"P…òÓLRÞ/’ÿÁä:}/”@Hc7]µÅ9¼.çG¢ ex}¯ÂŽ;KKŽ{í3 I‚iØ‹ ±_Ä1eÁ,’[õ¡ £G%öo‘ØÒ$oÜö,ȹÙê‚ËÒäÚ’µÙ©tZ)Ý/²e.*ÙuªQÞSºV»­[šÉ}ª$Y3©7²ô-|þa󕛨dÍA©“>A‚®´Y]ÊjtÆ¿ÁçR€ègŒƒÇ+™ >]m=‰jiµŽÐǪº“X²Ǫï-—Lêi|Ó=eƒÞt² %5ñFÍ•¥Ñ;í<•h¸gISz<±xÝë(ÖßÔ ½Ï¥bDD¸´L…Ÿ&aàç¹Cò#Lc…ú+ì Š„Ú9“½†æ|®EúƒcSi_[ó×ί›¨4ŒÅ÷‚ªÈ füQªÁa;apĵ|Û€l€—ÖüÔ¿tÖôû&Yò(ðpÈ(xä¸+Á+ùØí«p.“6h=w £ (ŽÇAIÓý\;ícÌ0#'‚ŽÇ@'Ã&2µ$í¶¯SqÇÝöåÀÚ“M$îKv€;¯J2e÷¼é’ërÅ7¨®tXeÓAQNl•Øj²Uè:’韠2Æ6âÕ8™9ÀÜ 7×8ÃCh/NT‘< 4;湋¾SØlïu¹vg˜# x\šù1ÅižëªÒòc±ñjÀlždÅ1Ï àá!ðKìÕ@æ¹:!Ø£¤cgG'¦bè]]¤Pµ †Ÿ*뵤{Q‚K3ÿ4"Iú*EÝ»?7Ö|ørƒµÐý¦_[›Z^/.wú y _™w”ï4·ô$µ–W¡îå4<|•4U'×é{«>ÒÂüÉê·•æ­ün°±Š´¥”·SIšºF”4R1®-EÎ:áñÖ Su×s¡47Ón)ªËo«Z/åƳµê¶¹,}/¦õ‹…ïŽT寘ÜïCÞð •%7t)õon@ߺ¡,­š³5‚¸Û(¦ù=ô¾çæw"!ÎÆŠm@g*!•—–ÏØ¥ñÀEʆi]-ÅßÝF”ÓÝ:ó^jqè¦_p?X¾íšé®ã¹GŒ½Š= ¶< Jb”¾ÿ0à$˜¤»O3šÃóÒÐOãääãzW¤IE~¤ÂSMì»ohfßØÄ6BvÿMÌi!  9¾†w³ö…™-í4kŠb_Ù³Xf¹ðùçˆ%%™‡_mIè¦6¤ÅÑ ï¾œè§Æ‰ä'û7Ýï,ß²‡Ý“òÅðÕ»£p,ÈO9òu1àùF`¿èŸÞ8ïMü G_Œø Ÿéš…ãlÏrÆX.}‚‚Ž¤âo¤—‰cÅßÏòîõfÀ„Úg¤½iÖýSÅð™'—Ž{Õe¾e€7‡¯Ÿ}>Z#ÄÒcjlN¶~–ª°¶ðŽñ~ÑùÚZ…Û'ÅBáåGÍ‹ ó9nÿâ¿0µÈቯ,·ðˆÿÞFÂHù >_~žË¿VÑeûÅ»é‹ÿ;±¨¹ endstream endobj 86 0 obj << /Type /Page /Contents 87 0 R /Resources 85 0 R /MediaBox [0 0 612 792] /Parent 64 0 R >> endobj 88 0 obj << /D [86 0 R /XYZ 78.2 705.06 null] >> endobj 85 0 obj << /Font << /F63 84 0 R /F8 59 0 R /F48 57 0 R /F59 62 0 R /F62 70 0 R /F64 89 0 R >> /ProcSet [ /PDF /Text ] >> endobj 92 0 obj << /Length 2118 /Filter /FlateDecode >> stream xÚÝZ[oÛ6~ï¯ðòä µ*ê®a+°níÖak‡5í¤E¡ØNâ5²\ÉN ýïã¹"eZ¶Ó¬íöÀH&ÉsýÎ!•‡Gwî?N‚AîåI ŽNiîƒ$÷½4ƒ£Éàxøàpá°>ÕlsÙ¾ãg!Û…lײ5²Íø)hÊ7òuD¯§Æì±lK¦®¸ï•ûò1ánE}÷h…ŠW€îS&ƒ½§²}+Û7¹’8|}ôóÀŒ„ðò8&1îÒ2[c‰ ‘ãz°î‰l5ËW³|ÌáCÙžËvÆ[ÏYˆ’{²}Ï3^jÎêšL÷œŸK ôA¿Èjôï S(š5õ÷Ská¶1þqL‰áÖï}„ú–¬cÕ¶Æü‚WRÔÓ–ám²ïŒÙHÜ€laLWþÃä;ˆ:æe–-30íÈðå"@òµ½Ã‚I€©K~ÂäÐÿÒxoÜ¡²“­`C·Q*bä97Ø)ùÙt»±%¸SÛ*aÄ#»X@qaDâdÍy3\ý±ö¨/þOYæšænu2¤"iv 3á‚¡ŽY†:€¡¿x:!bWºmNpÌ­±×ØzØÙàêtÓŠži3¬Ås¡Ãž3Ų…+C»úäŽþhø˜g´Ýý ÕàvŽY¯¼1lcÄ®ÙuÆZ8ïÏ‚Îæ£×‘’LœK9kÞ÷‰l?¬9TOrèáꘇ^o®-Ìt™pítlm³ÙcõVD ŒJc{å_îdé¢ü­G“¬Ÿ>eNêì^÷C™z,³Ÿ¸¦÷R×L°àèPñ»ÜMBr'-é¿ÇÛute$ÅàOÒìT9Iz& ˜¹kƒ“«^í«gﵘ¹žáhú¦±m*Ú-kBó;W©ú–«Y»·ò³ËN‰3åšFáûÂÐGi0»£?®é¡ƒF¥áâŸ&¶kì߆‹ýEÿ ãÆ\jظ £tŒ¾DèÀèÃlj`îg²=E\Ù»äÿ°!¢ai»ÿ83î2DäåQ$©sϼœªR–îaHU[¹€Å‡UÍÌóà …R; :Ý£K44£8!jR?Ò,Éø>CäB[ Wȵ2Z/<ª9‘U§ÖTd<Π΃(òÒ(—¢"Óûݽ¬é!‰åk¨ë¼‡Ñ—0s<¡â/Â`ƒb¬È=¤Z¸› ƒÝ¥¢åJL~#ôú‘ÇrþŠ®§²Hð(–ú¢1^a’qωô½ù”^\|Èn”žôXÎÚÓ.,§´¨(ÂáiuHC ¼=C½ÍôÅR+éÀ(9áD®èþ§’Ì,íƒZ§õÇv,ÁVJÍ':ì-9ó途Rr'w>WÚ’ìY0¼šé̃¿ x„úb°Ô)bÂãx4]±á° ‚ž¨´Ò2P$%x ï²i@Ö÷ R¹0<ÈåZ†1v@œ»Ô9žƒ6Áš¥D0ì!• *܃‘FEÒ ñLçÐkù,q½®`GD 6_È5Á;ÿYÝB#MeàÕ!Æ‹‡?âÕ*¾+p,Ñ–U ÷• œq›dêbS¶ šþý"ž·.È==昘ÙÐëX—f^Ú®Ø^ ¬CPæe"R„jªEƒ;ŠÂ¸E#¡‹Ü·†ŽXù}µ Ÿ¨sô‚· ÍXw%+£kÚ¾x9]ÒœSø•:¤-ø`…‚æf¼øl®¢§¦SBB­<õâ4¶½ÊBA'kA ¡~+ÔŒ¥Ë"Gä²cQX5%æ ±0Â*£2aÐOºËU¬#¼Îâ þ\S* Í1Ÿh U+å첇Š^ò&OõìC&è¾Z$ã™.¸°ÂÀX—vˆ _ Ú0Qjb ˜=W¸Bº)±DF[!*À óËc¨IùtiFrE »j”Ýs­ÌYKÚQŽ\¶Ö 3c¥³+zU 'L’iÈ^@×h|i—Ð 45×·@Ë¡°¢iÁ ?Æ6U•|öÃÚ¯±Á‹± ±UÂßmÃÚ,ôøƲ mÉ)}ZÇ‘%žŸÞfåXøSLâÍPwÈ·–”Àxlê÷xÚ²o£²,Ô½<oŒËQäC´DíÝô:BiׂNQ\fAuÝœ®\´wБ ;õA¢€‡ÄF‡MòÐËC]AïÂ[7Lêe‰.M l0ɵbFD5å!ù[ÖÅ[û^]ËÉBbŒQ6ÃyÜ=®ÚS º4W+ˆÏ`®4Ïì°@·ME›Häû$­kãTƒÝäÙx`/ç´J Óþ_üM’mÀÀ½8Om ‚è:]¦Áðé3ü$ˆïʲJ¯Å[3C¥R6Z% }/Ž;Vq˜âØ4oi™Ç f¢Wµ‚åvß9I‹#:¸á!Ñã\ŽÇHë0ø´‚˜º¢¹W”qã¢æÜÏH×-+U[,®Ú³Ã$jóàuc$52i¡uµlQÛX &hãí§&<¦Ï zçù;^”kß<è|œw} xc\ þèéñø{~8*D?ðbß@D¾‹©q"¬yžyydáFÿ¡¡}›`{üÿÅíèÈ 9Ë*2y¾—fœT6k׉™½¾)6ëäOìÿ$0»· õ ¿tmèþÓÝý««¨ùìfòbWûñu;×öMáDÊ-’&ÿ/IoÇ®´ /–‡ú ÷²,£R »óèèÎ?Ü–Ä endstream endobj 91 0 obj << /Type /Page /Contents 92 0 R /Resources 90 0 R /MediaBox [0 0 612 792] /Parent 94 0 R >> endobj 93 0 obj << /D [91 0 R /XYZ 78.2 705.06 null] >> endobj 90 0 obj << /Font << /F62 70 0 R /F8 59 0 R /F59 62 0 R /F63 84 0 R >> /ProcSet [ /PDF /Text ] >> endobj 97 0 obj << /Length 1003 /Filter /FlateDecode >> stream xÚåXßOÛ0~篈¶=‰„øGœf{˜€IÛ¤©›¡R E¢)£e°ÿ~çóµqÛ¤9 Û*íáš«}¾œïû|±ý®½±½ŸæAçFš }dy,“'q–‹ }…o7I”JîƒzR€œ{ú¥ëî€z‚ûd1¹&7Õ.¨Öâd2 çÈûß[4=ùîšcPœ´?I çiZù.¨_@>ƒìÍØ›uéJg™®ë,ÿ‹Y~ZÁ,·÷[ÞZ:ε")bm´óð¡wë^¯” zdUŽ†ƒžÓ~nÊVˆV¿¨Ëš nìôɤ÷:®©ô6¼p½7›‘ÌÂá„-¢sþ„sf»^»xòNâ$‘0ã§}³vdRIÜ8ÖŠM¶¬vÆd„…¸xNrEb‘dóÕé 4¼¡!Ó` Ä‚ˆ°Û\Føñ6eÑ$eAn2“<3Å3Ó<3Ã3Ëxf-ž–×@‹8ƒE1·Ö"‰´ö)kû­Ç¨Êå²`Ô³à(x ˆ‚"UŽ™á™eOFG¬/æ¼ÙLò°–<¬%kÉÃZò°–ˆõ:fÜ˾ȧ$ÿëGòX%yDòð–<¼oÅÃ[ñðV(k²~UŠWAkÅÃZñ°V<¬5kXסS·6²' cšÑÑ ­(7Æ#ÜÝâ{¾rK=oËÙwÛyæ=„PàŸ%ùÛiîGvð®ÕY<,?&œÖßqx‡ý—Í´œd|2Ü{oì—q i\¯*)Ï:GÈiéR&Nõ§ŸØ:ÏI ÆÉ¿çd1|ä ×,¹&·cï2ê‚„^>1*»š®²ˆ[õD~Ô‘sÕ¼*Wu|ò!”‰‰MÔP2¦[Ì–µÚØkoüCŽX endstream endobj 96 0 obj << /Type /Page /Contents 97 0 R /Resources 95 0 R /MediaBox [0 0 612 792] /Parent 94 0 R >> endobj 98 0 obj << /D [96 0 R /XYZ 78.2 705.06 null] >> endobj 95 0 obj << /Font << /F59 62 0 R /F8 59 0 R /F63 84 0 R /F62 70 0 R >> /ProcSet [ /PDF /Text ] >> endobj 101 0 obj << /Length 1801 /Filter /FlateDecode >> stream xÚ½YYoÛF~ϯ”•ˆá./±¨ ¤nœ¦h öC‚Ø(¨[­$ª¢dW(üß»s,wyˆ’ôamr¹;ç·3³£¯_½»âVìÄ¡ [ד–p}G¸Q+Œ]'ŠEëzÔúÚùÚ¡Æm·H¯ÓVk55¶<ÆjlÔX©áª¨ÑîÞ^ÿòî"ô,ú=x­žN,úDþF —–ö­•´Ð¥%ïî¨Ûó<¯sã 8% õÆæ¥?Ov,Æäš«‘®è ¼Ï@î-m&+zt{2R*àË.uFô[RÚ½VéÖÌÏPmüs˜ƒ½ß±ÚÒRÆmõ„z“©órÍ ¤lÄlÈÏ-ùýgV„8àÖïÕc'ê1×™WÍ™ÌݸxdÀâM0yKÔ2~ý›—$Ö’Ì,›DB&ôFM•oÖô -ÿ·ð-Ì¿ÉPÄ(ôŒñ³°¤›2ýY­Ú¶ ‡w¬>* êÇLp{@QTæ³Zð›ïÕø\zÉäþ1‚¦}£…‘ñ—FƇ(³ÇT>ƼŒd‡éÀþ{Ãæ)dîièÛ}Ñ|ü( <‹^ȽË_­=®™ýR¿§"s ½Úó"ÞÄ êØ*L:Äž•|ôG ,¼ó%¼\6Ö‚xá‚Ÿ1faîîÑ<˜¸ŽUà‘¿˜èûàW5®ÔøP•Eó?Åȯ՚״ý²¯\äú0êè2ô IÇ /ÞM6ÌœÞÊ•ö8´ÁR~$d6·nv씺¾2áÛ¦“X¿8yú×3¬=±Í[ª¸Ûs3f0µY‹öKƒª˜+BÉ geØŠ–µi»ø¯&_—pruå¬Sf÷ÍÌ 4°ßcØ.³: K«pž~šN¬ŽŽ1PnRðî!mÙ‰•úŒyÂ7/ÉßØØmôbØX5—Lh–Mçr¦Š¾Ø¡¶¨m[ib¤/5Íó@{ì43~®*½UeÀ¢íX¥v“·žm›à‘°i·¥ûöðá×¢©!*ïÍìþÑQÔ"—òôYWÞ­Ä~ÏrÁï„üpI@ï¡zŸ,]Á0l7]çÌ} o• óκ…º²¯”G6¥´ëáé›ëƺ½·¢Æ‚m—YõŸ¨Jð¨‰Ýk©fu—ÌžCÇ‚¼kæ88·ª¿1§xš²GÅÇS¨aV²]˼»ð½–ðÏW¦H߉ݨÕó¤2ƒÂï*ŒÈ s…Š‚“#¿³Þç!°Ým©MÑ—ûF½Ô˜¯¦ìii3“^ßQðÑÞYæyev™äêŠTÛÓ›¡Òwc"ñi¹Ö‰{ÍM ,q€¢Œ›é„å -’‘tdØÏ¥ÁN¦¸Klkz4U˜yŽps̲—ÒM ¡ ê…Ãn dAxo/‘_“ tâ~`1¥>Lrã oL­œ„dÂI — v9ÆÌáø+¨{ŽÉbˆø4!“­ÆÔËá?oaÖ§4®ÑMYÁèfÛï¨j`?áë­ Å‰ãÅŽg<ô8ë…®ã‰Üz˱Ž)âd¤C•OáuÕU“w£Æ”"LlÌÇiC˹¶É̲d3ÝÑII¡­î¼!.˜ uÅ’Bp•×švÏ0 ºKJW¡]Ý•ÔA÷;æ® ÿÛ¡Yôñü'x„Õ·!Þ³¬¸ѤßQÙ M`p"ëŒh&ÛLw¡V`,f^V”7ïŠr檪ÏBê„ŽM.n.ýž–­mçlq–5-ma¾à‰F„nî­Ìg\­|P“'6Q§”Û¤Àu©³ÁØR=³r!‡™I’£BBìQ¤6CXIGÄþÓ£¨!_EUŸû^çz6×~•ª4Uø³¯ã>N×Yéw‹Ð(]™2Ÿó0øs[}u‡N Wwa¡ºÓ—‰ukÜp…iÝ$¦bþ…&áÞä"^w vS¼&´ü`êÿ%o5•_ùÚô“zü«ß+ëf;·ºEW¼{û> endobj 102 0 obj << /D [100 0 R /XYZ 78.2 705.06 null] >> endobj 14 0 obj << /D [100 0 R /XYZ 79.2 293.013 null] >> endobj 99 0 obj << /Font << /F59 62 0 R /F63 84 0 R /F8 59 0 R /F62 70 0 R /F43 55 0 R /F52 58 0 R /F56 60 0 R >> /ProcSet [ /PDF /Text ] >> endobj 105 0 obj << /Length 1891 /Filter /FlateDecode >> stream xÚÝYKo7¾çWMjm–ÜwÝØEQ…­ 7‡µ´‘[’+É6|èïpæã.wE9rhÚE.9œùæÁáCÇãWoNSÝ+‚"Õioü±—î¥Ed…ꧽ«þwƒaåQÿi0LtÔ7Pý¡4¨y…² òˇñϽ°7T*(’¤ÍbB†IHUIå–Ê•9¾¯©TTvTN©lðý•{´WT ›§†š HLý–J DG-Di¨ˆ#Õ?#‚*߃í¢V€ñ íP*ÀZ5â-‹#1Šƒæè€-Xò ¦~dËb_2W~á©Î³þßuªŠç&1Þ¹?ÈØŠ,øà­"Ûüdw趎v]hên´¨Þœ&…¯* R à¡VA¨csÅ6‘é˜íÒû]Ñ~W¼ß•ìw¥û]Ù~W¾ßUìw5šã­V®‰Gp¢:,B$uŠ:îÔºómé ðÑ>?ž€Hð´'ZFY§Ÿ¾U’©Öœ¼C+cg@“v˜FFùm]p†Oì2Æ`ÞFZ·u‡yîÑ(óhox~­TmJ]› ]ÇMõZÕ~÷ä1IB¨ðÑA¡,³8ê©8ˆbŠCZg$7ÒA–i‘KÚ+¥“þ¹YÜfùÞ`XÍÃ(KxyÏ+iO”ïæN k,÷µ¤çåÏI¾ZMª­ˆÏEòúÎÃ\„sV)7H" $E#8×ýÇúçæ[õ ÉšTË$Í®¦H´C´Þ•LP"Š³^n²3Í#ý®—ëm·U½;ñÖT±~<´X™:¤ä'i+u4Òy¨<&ÍX#òrf·8Ë?Ãþ´Ü•¦eeB¶žÀÖ¥Pï™J…yä¹e<)b^-:·ÈÍn{¿À6lTŠ%9‘ØÙ­¨^Š§ÍO@˜¢¬Éïµ3¬'TÔ4ßÖJ¿ÄDÅžˆŒ'Tj£È˜­™ËZñ5s«äãžwnîÖRÇ2åªL³¬ãw+Ôwfô+ài‚³ñ1kŸöÇ$Ûk|ËrxniÚÆðlý'–áI×"‘&Å¡Ý-¨+,¾×c¹jÓì÷o P’Ù©Š{›©H¼—¼\oÀæ£Ôå–UXˆ×0Ò“ ÍJÞž7âzçÖŸÇ^!Þ;ø±Šûmß!C ÊwÞÛZXC·‘D/FâIRðu¹#Ê0ïoL¬Í Ï;l IaÜ™‹í+é˜Ú#+w.Y]Ó5•ákCÿÔæ…™Žx…Tz#+ÔXŠi¶Þ°§^ $–|$ñV®¦‚öˆa}Q6Èùƒ=Cµ×¦@Än°€'vfQêy{˜´Ã+Û-š¶éÜè4¥ô^T²®!¦ÜYXš/ Ìë™ú-&`§Ç¹…Ìë• úPuÍRKkå³P5yi-5/ ŽVL¬Ch%ßk å#¯‰qÊËrV4õ•–ZŒmGš< ³Üíšl07Ú¼‹8n³<䱈'f¥TìlÙVÂÔ¬ù’w½›A’ÒVÃñ!ŸÝJ»Þà©}h4ˆmÚ½uXtS"SÊ-P6©Ìê×’R.ÑâÔqÏ!Âé¢Î×4&i‡Óú Îl“­{îК‡/Qës‹°º¶ µsç<Æåfæ\KÝ‹ÙÄ~‚ø·œ…C»Íï¸Æ]¢*3Ü Šg.s@;Áƒð½;ú§@|‹ëgÃÁ“*½’7[ò󄱬lÈKDí~h¢i…6PŽS©Ž#fWAÄäpبúrØ,7‚¦°¨®³«*ÊӨ§¸ÔŽ©}Ôó^XŒð4»ӥ¹Ý%œ£©â%²"vK3wæ$—­/yÐÖ•diÔ…~²xárßYáß çÝÌúj輫­'ÍßYmXÉ÷hïœ<¹me‡Êy´Ú¹OžHœ§Ji<.Ù,˜µm¢AZàݨÀ´¸£`‰3>÷ü‚Ì÷¢.Ø.C¥ TÀZ9ìK§Ÿ|y¢M€&C­¼×™…Úê+So9ùTØŽ=­ÍÎC‡´‚ŸNä@{â·m—fäйßgNq{#çß«¾߸CwâÁ1ê|ŸuøùpÙþ³Ï:ìµß<µ.‚PEçx$VüŒýêýøÕ?"ø?À endstream endobj 104 0 obj << /Type /Page /Contents 105 0 R /Resources 103 0 R /MediaBox [0 0 612 792] /Parent 94 0 R >> endobj 106 0 obj << /D [104 0 R /XYZ 78.2 705.06 null] >> endobj 18 0 obj << /D [104 0 R /XYZ 79.2 499.511 null] >> endobj 103 0 obj << /Font << /F62 70 0 R /F59 62 0 R /F43 55 0 R /F8 59 0 R /F56 60 0 R >> /ProcSet [ /PDF /Text ] >> endobj 109 0 obj << /Length 2667 /Filter /FlateDecode >> stream xÚÝÛnÛÈõÝ_!ì¾H@Äå\x ¶ìt½h±²‰‚E‘æ‘hÙ[KtD9®ÿ¾ç6áD1ŽímÝ> Hgæœ9÷3sNfG?œ&ŨˆŠT§£Ùù(/¢ÔªQZÄQV¨Ñl1ú0^MÔ¸„Ö@û'´ ÚÚ-´KyßB»˜LmßHÿV¦Õ<»æA÷šB¿Ö2c%«4“³¿¦*Ž,à8U**’„qT0#KÍ8žLU’)xªq4ágãq3x í=´Ÿê1¼þ Ÿo ½#¨±ÀKž~xÔ‡€Î tÉÆÌdj3•ÀS3h¦ ––ÈwAß@'›Oe'¿ÐN¨Ž‹„8ëh°³€:;>%`:Σ\e] Ï_âqï8`²R‰Î¼x52ä´+hwÌÅ¥ÈÎ5 £®ÄIL¸¡»ƒ¿T1›Q0×2ÞÉñT·þá¸e+×/îVãywC«‡!—zÑP©¶†È[ɤ*в³MÜâ9à0“ñkÑXF†~!؟ʆ™þõ!˜µñªÏÃ~„ö'hJøãƒU ÷¯úm ¹ØKY­V‹ÛKZºÏ¾üa6Ze©ÝÕûoÕwÒ›DG:Nºr²C›ƒû¿E6ÚëÙbo½`ħyàÚÀŽFYŒ@nÃãg¼©.@Sz"±¶S/ÒôsU6Bü*7í4òR«jÁ_dÖLnãjÝš&šŒc6u,wu…/1ÓBÖ=ACºD¬ëU nQn‰ôq kéh•$ãrY+NÀL~™$鸼DÐ¥3²Êåšžˆ'†Ñóš´‰0ŸŠ§µQaw(LÂà¹~ôÓìèó‘uŒGj”‘Ù4‹,ÈÞ|uôácŽZ™(.²§ÀQƒôÆYÒÅýí1e Ôœ]”˜½ÞÇϘ8ROƒŸ1)pÎvñû…DkɤÜœ/ Ü!ÆX©X?@Ù4J`³•„B½7ïËjxæO"X!ô;§f@ZØKK¸l(nZ!üOb—Ph–åu3 ÇÆËFˆ )ζ¢|´ÞE4͇UøùzJ–LL¿îÔRtàbâÍ`¨·SŽ«Š ;ö\‹Ú–s4á8QÆlqÚ-.P±§ŸÎBã;ZLCÒ»lDón\œˆüΖZdAØš[pðSk-Åa—í¶VB"ô¾¦ ¯#z{Ùº×4PòËëöyÙ9"% Î¥Ü zÿ Í«v6y¶z%ë[ÃùèÞ›jC! ‡óIEÚõ$Ç>é9 x'é'Q›ìIl‘Ö¤í sí²™–èñ`½% Á¾å\Þq¨Ü²zó¥o3`c•·1!V_ HZ®™³N»úušÎ ¶.E]9wÜzøÖíÀØ£ ž£8Ê€|Š•jêsgÏØFb(©¼w:E«{ç­%ÝjÂ,ñç£è0ìRAy²èõ»ó®/Çôò€/×ã“לƥùCº3{{: . ¬RøUVû¨àü„E}.eTGV”Díúö ì°Cpˆ{LQ‘íÜálp@¹õ§¸;öÖDJù•ÛSÖ8´FrÐÅ"¨ó‚Lz©ø8ô‚§ø wÊ}éÎ71¤Çñ"ç/p|NyörÎ/'æØA?`Ás>úä>÷ßÚ¶¨®Bkëþ×$Ø[lî`2»Û(ØÎóSx™¹^‘i¹ v.¾G“ù4Ísgöyœ‚…Jí°,¹@å,¥-+%ð±Êú<˽SFÁŠýoÈIPúKÞgÃÿÐìʘœÆÌÉÆÕÛà2¡bAi.»Ÿ‚CÒñX¸¤“4|÷©ÕBþ ‹<î(fÀyÛ¢øƒÔ";Ø¥e×àî㣳H™ak`’lˆƒ*Š7Ái^@éÖþg.»Ý±ÿWΨ.ƒ¤±/ݦóshƒ}´Y¤Q–ï›èäjôii'Eÿ!‰¸µh®iD«ä63ã›Æ H©§0$Ë<7L{]¶G,nO-±VþdqøˆÛÊk£,°¯eðÉÉÁï$µ~ƒµü Cü>ètl"cT¯4=[P„z)[ù›>‡!,×cå !‹3šq¼sïWý‹.Ū-ÏkwvÐÚ²€oÏÈZ6Ó1,BzÉ{Lu°I¼7Î#kFôÏCw¢ÊEû÷¢þ×\EŽÿ½uÕòÀËïï¤âLÞå’ûG*!ð÷îmQHÏí¶`Ù…Åü‹wü lpÁ™Èýp{ŸÌ÷Æ©´©å(®{{ÿÝ2¤/6Rõñ.(ŽhC/Ü0-ãºÜ1µ«2˜·wÏBÏïùë\®œ7ýÃ!_Ð- ßçJD>Ó%-ö=y>- Úó­GûTá¿pÿÿí¥cR+ÓSkt žŒÊ¤L :z¿ò A¹Ê §U™¯È৫ÒH¿¥äì¡…N5L;èÆ_m÷©XãïçZE,TÂW9c+˜ui¢e(²-—g,SôauS¥'©È2 Ä5L2y*B¼—‘E€°Û+O¹oÞs)û«ïRI”¦j—ÁÌ-ÇX#\3R»Ö|¹ÿ¹ˆb&Ô2’ò¥T1D¯ÿHÍWú Hi÷¼—”¡>±âì']±Ž ,AÕE[É¢”;Òû7`Ëg endstream endobj 108 0 obj << /Type /Page /Contents 109 0 R /Resources 107 0 R /MediaBox [0 0 612 792] /Parent 94 0 R >> endobj 110 0 obj << /D [108 0 R /XYZ 78.2 705.06 null] >> endobj 111 0 obj << /D [108 0 R /XYZ 198.427 390.803 null] >> endobj 107 0 obj << /Font << /F59 62 0 R /F8 59 0 R /F56 60 0 R /F62 70 0 R >> /ProcSet [ /PDF /Text ] >> endobj 114 0 obj << /Length 2431 /Filter /FlateDecode >> stream xÚÍZmÛ6þž_a8@FcU¤(Q*8Nã^Û,ŠDm¤ûA±½^§k{Ïòf›þúã¼P¢(ÚÙ6¸^?hù6$gÎ3ã}R=úêY1*ã2—ù¨º•*Jò2‰u)FÕrô6š6ãIšëèãXÑþŽ‹±ˆêÕ›•i¬›†Î¢£©_C{|Y}÷Õ³,wV/Ê8Ëä(¡u·°DcþüŠä™Œ–f‰¢ŒîM{³4Ž×´ˆËa.bh»Æ•¡ÚˆúÆ4n¨ÞqACÀîqcþ|!¸wÛîÞt³öëU;Σ_’,¹1ôÅãI¦rœ êš³KÝ™Ž-TÞ'2çõt´¿òh7¸/¢#|£‰ÈóX&©©ˆ¸Ì2úWÛ7ÀN€™;#ƒ,;üë#µëq uBüW„` ]Êp&ád±n§XnêæHû/@8ò–`êŠ(¶°¬¤ulU˜´Ûá}Ÿ=^°©·]£æ öPô¿$B@–³î͹¨TDÕ5sÇk@ÛKÔ¬v üÇà„‘Í Ù:¤´±,Ëó:›éèõUl?TÚ¬ˆ…lÏ?5ä L @Å®"ýGL'Ÿ‰XiÝ?ø ‹¤JŒ• ,;nðY¨¤ˆî úkSˆ½Û¦uúB®º@{c¡ñPy«\p˜(³umª÷5‚° ˆ/bQ;÷1L)PË6¸Z$mY:³dÍOìÉœqkù5ß;>Uá™ùì)ÿ¤å: m¾C®Š"ÖJ{\9úpXýBt6ôâFk†U záX[HÙ~S•Çi^ö&în™I>øfÕr,¯XE\Ù¬wdLWD_“<¹te.ãåOñ¸dÖ’“%°Üã˜AxÃßsù3—ßrù”Ë'\^p9 ©oòI6Ú”ÆJ¡YÒ¤÷¹œ{û|Þ|hð“Þ¹ëÿ•Êu1 „€ÿP §£A ±œsYqùœË\¾âò%—o¸üÞQÊôÁJ 8œÑI;|B%aøŒF"_ɃËVCÓ¾†þÌßrù”Ë'\^p9áò„rü vú¯¡q5ãT—ýãs½©½ÿ#«Ô¼[æUÄ·lÉT‹†W Ù¯𶦲ìœuçu_À+kõl¿Ý7û­+dÙs¸ qÝ —³çáÝ ê+ö¯ë[gE|/Ä“@¿YÓ“½$PøßZ§ÖYýy®:»~èE Ø_Wqiâ§Þ ³?0I¿Ú´æ†¶¶à¥=¿(É£;X…®ï s Þ;ÙàšÚîVHwäq =LçEÌ%F+g–Ý×?ÃZ[UÆ—g2 ¶Çš"ˆ–ÄåaîÓêkcL'ÒÚg»ê¶¸hHMÀY­é€j¾çµáLÑ+ú÷O?Ž‹ÔÜ2’®˜ÔÜ{¤°ÁúŽw:B×G·ÁÍñÈ•o ë-0¤5òÌÙ÷ºÚÛG{Ikl¸‰Ø’©Z¹a}glÖ F' NO;X¦WV$³³L3•·6œzl`£5Œ‰`x¢ÓXêÌz±Ï‡ñÉë—ÀÆy^âiã'm|³ámô~E±rĶÕzà Kã$o½û×àmívðâV¨,mdÑÛ_š'LœØFfI´ªùv@6vÖ'CÿÆ1è³fŠ=›]'‹ 'Sö§7–xg”­XjÔ÷Ìœ°\Ö††ª ÚÒpCy†ƒ5¿%{ñxÎR·÷ (,˜“Õ=‘îwÔïÞ{¦‰öä±ñÇb3îôc¢_ù5ûÍG¶*ß)[Ï=¯øÅi¿@$±2'ÜsR†KàÎ{²bµ}ŸKÇ‘Jù­¶/þÄÞˆÌkkÕ4ýé|: Ââ YÃ8HïyzèVg zúpr g¸êoþÿþbçû{ð¸Û?” {¤D¬s5DÿÈ^í£h¡ÒÖƒ5ö&2M+m8²"K"?’ýf÷™~Ëž ‰ebž$á¹ì‚ûUÏ ¤à¶J‡ý °ìl,0Ôœò7s¾Ïéw¶rß9·gN9åzåÇs§>óg»Þeè°Þ²Œ«Ò“]2&‚û[nt4V°[kN;¼\fo3¯íËxJvûùxÍ{¹ý•‡Ï¹qÛ¯”ðBÙ%·]\2³Šfl2¬w²½ùD{#žÄmî}UW÷ÜgŽL®®ù¸’}æèæ< _îWÏâ¦7ßÚ¤òð)¼ñ‚iD‹qg£¹3/ï°sù™zrLörªtåœ{ØÍ=ì>Uºz~ª]Ã.ó°NkÛÊ—m_§£®½&<îÝoó÷Ëô„Žù6²s»Y[_ç||| ݧ—¡´_·1=+gÚ2¥ÛLº&¥òc)ÅðpDw)À$éà[:÷BÑé©tŽ%g2›ö(;áX‡f25<-ߧ-«4UÕ* éþÜ*p;W'NÕ·¶OÞ¢»)\¤”h>¶JÜ’¤<”xzÏÙá> endobj 115 0 obj << /D [113 0 R /XYZ 78.2 705.06 null] >> endobj 112 0 obj << /Font << /F8 59 0 R /F56 60 0 R /F59 62 0 R /F62 70 0 R >> /ProcSet [ /PDF /Text ] >> endobj 118 0 obj << /Length 1228 /Filter /FlateDecode >> stream xÚíWÝsÛ6 Ï_¡Ë^ìK¥Š”HK»uwÉÒ´[/~H¼d¹®ª¸]+³úòß´¾ó±¦·t×(?Üm=?ÐÒKƒTKí.¼AHO§a0H…7šxo{?÷}%£Þº/z‰&D+¢D†*$6%ʈ®ˆ–ÅtVýã§ÑÑ3«w›†CïûÌ¡øßçDkhܶZE½ýöü@¥%oT ¥ð|J)ëÎ[’6¼ëÓtªxVÈΫ'?Oîz¡ç ¤eçÒ’s-ÊDzQcþ?wÒÄB·YÎ_7ZwÚÜâàvÇ;n›ƒ&)ÅŒˆƒ4Ž«A3ÌW‚¾Œ´þleCX*Åáyaײ+‚™‹Ù‰5˜ù¸@W¸)Ôå-±+"ˆXг Uø4¬&k“D:ágЧ+XB;†ìÕ²El;1¶Ùxmvž3ü¬Ÿ-Ä”4Èüzhv0`ýÄ~+Ù›ìÓh¸Ë@g”ϧÍý“(ÐÉÆéü=FÜû çÆ[s"²¦0[rҘΊ{ºÄöå"³p4ERJ ªñĺIGI{SóW>_Ú)wýü‘Ù[¥qÄzsÌ»½å€ï|b%ìî…l’/ÌÂÔٖͬ´sÞìÀAó£=®J¾6 ’(®$뎌\OÁYS„A×Ò¦Bf‰4ÃÍœùês¤ñÆ‹"Ë–jÂ',dpXíÞR¶­7µ„X†ï±½#W°_ ®—5Ê[¸Ã …ÿå XÂà¿ùXÙv? Jô´lk©Tõ›XºøöÚNÿ²#tšMIë5;ñæWø-·â"ÈMæ_š¡ ­1µD–  ð…Øcî#ƺDÝ€+Èh|Dô;ÑËv˜3«0Ϻ+àÚ|¿/ð>»À½ÆØAææή5ct&ŽH*Žª‰c·ïÇ"½_À_ÀÁÀOÁÛ¢&ÄâÃy‹²3,¾? ¾¾>÷¿Ð2×é¸T*›½J·Ñ;•Ií6oÔQŸ ¹JÓjØüjŠH9+fct0‘¤î%_Ø•lÞ— ÅE³ºë$ˆtô¥Õ=T˜tTwX#7Ï‹sX›Ï繩§ë"i“tØ[ÑÜ„öÌ”Y‘P]/2#}³´Jh+©-ªëÕŽ<“EßÒ‚ÄFŸ%Š>‹•¯|\ò>›QøÌÒ¦ÎÓø2+²›n»‡¶²îGJó¥Ûê®°¿(ºæŸ¸ü>vB¸ÆtW.½_‚¨‡oÍñ5=èêvî°I~M›þ]š½ÅbÒ›»/hø¢õÈwêNw&õ°óýlÜ—Êc Yèevõ=´õÇcƒY>‰3Ûsø-fh"ÛTê ÔZävîÀO³Þoΰ­5¹Ç=Õ£¦q2ß Z‹¼"Ù,ò‘ÖS䙿‚Ÿ‚ƒŸ¿Á³ [”-“¥ˆBÄÆ<Ç›kH0¥@¢@³[V¥š+Xœ—r§ØiHaWxonìo3ÿ¯Á÷Á÷À‡à>øNG“ñps•¥åþÿÙ6~6>â³Q»ÏFU<5ué&·¸' …E\{2 @D”òRÂ0zØ“ñÿÐåX‹›Í¸LƒP˜GNJ]y‚sŽŒàÖËÑÖ?QÒTr endstream endobj 117 0 obj << /Type /Page /Contents 118 0 R /Resources 116 0 R /MediaBox [0 0 612 792] /Parent 120 0 R >> endobj 119 0 obj << /D [117 0 R /XYZ 78.2 705.06 null] >> endobj 116 0 obj << /Font << /F62 70 0 R /F59 62 0 R /F8 59 0 R /F56 60 0 R >> /ProcSet [ /PDF /Text ] >> endobj 123 0 obj << /Length 2346 /Filter /FlateDecode >> stream xÚÕYm“Û¶þî_qãt¦Ò$b’àK§îŒÝØwÓÔn&QãzRàIº“lI¼ˆR.þ÷Ù— (Q~éÄíôƒ´ »‹ÝgË'Ó_?³ÕEUy’_Lo.Œ±Q‘¥yGEe.¦ó‹ŸFÇ“ÌTfôWÐKÐ)èsÐïA_‚þ0~=ýÛÅ$5Qš$c¢ÊZ]2›QA¿”~ (?ç㉉³Â÷[ŒåhWGãÆb¼ŸaÜ­_b¬òû(kñYÊ,÷8ΕãW˜ñ-è W ß€>}:‘ã¾øñÙðÔ&©Hë4”@¢îr~´Ï—ÛSç×Ïò$8÷IšG–Î}bŠ(-1ñ/º{M»¬ñûwlySîº{þQóQ7™GŒ>~ÙïMt £ô,/îïý“¬aF¯ué˜ÍËŒþI¿§úvšmUYÖ_áE3NŠÑýx’Òû뽸§ßé×j߬Ùܱ,;ú[h×~ImyFÇœÚ+aÚ¤ ØŽ“’V’Ñ{n×¼Í;¬ÙÜ(¥ùl‚[úÍWhÜòP6ªU—º5—ÝöÍxBkÍfÔsÀff4[t,»åå½Å€iƒ¨H*Ò¦èàᘽÖ³AêUyI¿‡§jÌHeî^ž5¼}ËÛo[f Lp{ñ3w,ª§—Y”?=ÇQñ'YJ’±¾–,Ù«ˆ{òÑÒóè‹V©!W9W*?Éyíq”rXy«gFÚÖgo´yMJÍÝ{w¾²JðBîùÀ×ÒOr‰mÌ»ý™•ˆ_$ö kÝ9˜Ñ;ß°€‡V6²ÏŒMd©=õVìEx£E t ëìcÀ[Ö?Ig³Ñæa¶îx¦÷‡`úK˜²ØxsPÓ¬rBH{S·oµuãµÄSw¼ÁW4B›…Fkcgꬩ+Þ³ˆ5ät[4:}Þ5WòFsPÅK?6ž¼P›ôÝ^=Çž“-…3æHÿ«?v#°õ Þñ÷1Ç«ApÉã¨2Æ-ÔÜá¸VäÂ)ΫÏ<²#{wg54Œ’×Ä‘Mä(«æ£«~ô9óU8åÙR3u<µ›ÝÀö&bëc&ŠÖ3ßb›OÙ6‰òÌÛ2„ÿi(ÞšMÙž¾zÄ-Ýj!—èþxÃÿC³KNJ¤h¥¤ašœ˜ Õ> d™@ü®¹F¾±Øhïý úXê³s4¨kãBüRÃ({–ŽV­R½z@¿÷VÛã±´ƒX;zÃÜÌ€ìôšK¤Í¬¶MÇZbÀFÝ‚ÌÍ\î1ÇÐ2§=!]‡@½fEm^fS»$A·H4pÞ.õAÒ–ƒÄ§kQ!« 9â{ Ò’tP”³yÂù?O"‡áJÞ:Õ;wãd¸¹o”¶wºK¾ºéíe3yˆá¦Œ BFàI‹Ÿ/NÍ*‰£¬ê@ú¦·²òéBq©šq)IvÇúS›[H/Ü-ˆù§NÒ´Š’$íŸÊÝز&½ÿ ešFUáÚ#s¸¶I"Se¡ðx>…{›ÌN5QÒʦ‡ÁÄe2º_ºœ‰’ö“Ozd?ày­æ.S3yØ»lÀ›7÷Ö­.2lÞgb@a#“–ƒ!à ³nÁ»÷ìyE¿Bôð§…÷\ðy„€ÕÝgú!åSØœá>œxˆžAÛ;ÊŒ$ȧŠÈ¿Wš@,tÎ \>nü€ :IýÖR¤'YIׯ{²2ò†L°&**áC7¦¥(rÊñ÷ ÛY9÷ÖN,$WbÎuxÓ8ô/r$&Ÿ¹Ù’áï;0æI×¼Úo 9N—ygIºq JYQœ E‚‰·„ð߶$“bt ?yäm}‡®·ÎIý<‰ ‡U -Îyi<蟟'™2bÚû=„{]‚~7{Ø9±›ò|̵Âb¯O²³“2Â{rÅ5Ü Y®!ân¿Ã³¿ ãøfrgåÛ׆øÍàí5Þ> ZßúBWÙê½È±¼›r¼`«wȲá€os½ë¨øÃAŸt.ú ½¶P÷ïL”åëŠ}Gá°ð d|[‹{¹ jt ­èJH]6(–ò“á"¨$¦@ÀR¦)¿ñ›>­sý¿¥ãùï |ÅlšpÊ,iA³A€j†ŠÖlQ‘÷$îoµ­®C³aô;Ê3šÃö¿šŸMJéÛ…æ­}tã3WKˆ6œV8Γt¸?5<x5÷ÿáÈ“Ï~ÛLr‚‘ןxûülw(í#%(DØ(ÏÍ %qe„„^‚NAŸƒ~úôÐW ß‚þzú èРçŠö2ø_ |>Ip§¶~h šð¾"ÙsŒ ó­5%çrµ84¥Ô[éù .näš·»œ_ŠàZ”ãøú¸^’Y³Ï/Ä,ü|¹ŒQû±†kÙD3º·XIœF=˜A$¸Šmõ¥zð\9“r\ÈVÕ/¯Ó¦ÌÞåcM"¤g£™$.Iü¹`é úÿ.àýl!Ö»ˆèhÖÁ×JoÑçJ²p3ÓÜÌ$ÛÑ®×kmpø8l]±bk.;°„VUwH–¹#,£Ð õv(ߎ«(7þnú/’ý.LÏ{Yº¢w“eÖÐÂ1¿ºÛgYTdƒI}SR¯·GkózK9FÙ]h7lµ‘*ç"ÕW¶ûÀLÍaÊšµäi”'×ÎÚÊX‹G moÊ=èG­tªŸl¸fRæ£+|}â{ƒ³$­ WÄfƒO¼žÔ*ŽöÃõQR“Ùa†sÒ’‘Wɺÿ]ÄÝÐu´_’/»’z©ÖÎùÈŒW8Ì;6ó©%7ùkg=;Ñ©oS€¨)êq]%µÈäK¸~×v¥< ÌÔHž ïÙ„áj–oð•¨Ñ&¾ SŠ4¢»×Á¥¶úÁ¥Qimø)aÈù“]D¥˜¹j•ç@¨¹»eÍXc+g¨²äÎ<×" ¾\v_ƒx±³u2SÆQ‘ø+ò•ÞˆyÝ<E‚xñ$‹Ë(¶å°õ¥T0K’*ŠMu1!Z–¥Î6=x:}ðKñLÙ endstream endobj 122 0 obj << /Type /Page /Contents 123 0 R /Resources 121 0 R /MediaBox [0 0 612 792] /Parent 120 0 R >> endobj 124 0 obj << /D [122 0 R /XYZ 78.2 705.06 null] >> endobj 121 0 obj << /Font << /F59 62 0 R /F62 70 0 R /F8 59 0 R /F56 60 0 R >> /ProcSet [ /PDF /Text ] >> endobj 127 0 obj << /Length 2076 /Filter /FlateDecode >> stream xÚÝYsÓFø_áÉ“<ÄB+­3…N(dh§M;$ô˜Ž°åÄĶŒlÒÿ½û»Z¶By胢=¿ûÒç<»xðèT!Ý@Fþàb6ˆÇ®?ˆÆžÅàb:xãDÑ~è¼ 'UO¡žépÄ¡³„ùF=×sõgu9|wñË£Ód0vÇ‘8o0ò…›x ÁšäKup¾R.ˆ p6ùpäÇNK®yN•0)ðݱ¤˜©úP²É@HÝ5Œóa œÑâùÙH³šH áæUFã \¸*rµ´æÀRÍû0Ï>ª?»l5ÉÖwà:"H s}Šð¦š[™„¨šÅÆÒÙ3°¸†Uàn ”« íç3z§tjÌ®€±mŠ’ ànäæS”-Lç$g¼‚æpK°@–šŽ°2ð¥ë{þ`$bwÄ@ÆÀ„¢”é% W,å†4G-Ó‹«òp8¶N«C~)Áá±%-`œ Âxζ2Á½Ê0RÈ ´ ª2&–³BI.åÁ{¥ÏØÉmdJÔ˜ ÜÍR^Uh’.¤tµÒA»Ñ)J€rÕä!ŠÜ8 mò‚ks‡ñµvš’0|§@sºPnø99 ìLÑè V™ó ·6b3ªè3QA&–Ê2„;C"ðT»ÈT;Š cå&NZ *ud‹‡‚–néØjÇ2ZdÃÐwrÔÓ4£Í5žmKq!Ôy9ÔˆàÄj;'$¾Ã .YÔ{mÔ7 ´°7YÃX¤äï¶4žÉŤ Nsí¹’¤#Vuh9TcâL ®h™nJÝãâ[/ô†åm€í'Êya–‡1•¹ Ïû¬€x1©|JcµjÖgéF[[A+S¯Iñt© oÒKˆcunËV›Ñ­èož ¡é3¼¦}e½cñ0®ù„ q²æ°-0rŽ¢(vÎòmVÅ›2Œ”È(»‚M@®DÄ {9gD)¹•¡µé­^UŽ_iB7&Ò°›‘O<A$´¹À:æ òKœ£’sà躼|£ù¸¢yJ¯iIqWz‚žÑH>;¡ñZ £ôãŠ,‚¢8 Y e%õåÖ~(¨&`á¨#³nól/]fdÀ,­ŠàQ;ôŽE$YfG½WÆì5`¶¡3ì@“Ü„êTÛäëV¢Î„p…„i99³j•RÎ9`iMT2pcabÆ\p|… EªZ“~=ÒÝXÁŒÞE»KÛĹô ¸ Áâå’ã¥Qq(}ª!Жƒdohž+Ïj2ûvFH;öñ~§Æœ©”œó[´f4‡‡³22!õáØ$f˜,©ìÂòÖ’Ót: 'Xárt……-²ŠCJím¹;ñ\áÝ»îÝ8¨Dƒ•‰½é”Ék F2r=#R± "7Š“ªÝ¡¨P×Cilö1P¥ª•ÝùÈH¨5Ÿ1<ŽB?¨èÿw~²sF\0!:§¶ùò†Ã™½’0x}|ZQp`í˜ ¼gø&Ýóí%Ïù؆§-òô‘MõXWǨŠZúx¨*û8Œ¹€›3&UÇ­'ê9⇑à5?™…Žž²e¿ÐÁ©?€û§²™=?cò+&… ”¼dÌÖ7¢"œ~|X"G}„†ÛG¬‘YõÖšoÀÖ'«-KþÓoÚÍ¢K÷Õ÷)OÆJwG–ÃÖýœaç5C©q ¿¦·%J—z˜Û„,øÑ–±©%IÃS¹Rêòè°µ EÌQxÛ"¶©?<ñ‰0¨FÝ8P¨M­;~Á~ªiÆ?Yb_[®´´Ô¼=º„°nÜ«ØŒü÷B8cžŠ†äÛÍOq‚ë¿ÿÁp€ŠÙp¤ÏùÀ×Ûùïò­7ü"ì>ìdOtzj$åTïZ²ç/N¹Œ…éÕP×Þ&áÔäø­Â™qá>±ã¨_.²¸ÖÓßÇQ®ËšÄò熊û.¥Ó”a7?7LÝÜÊ /+6Ù+Kï×QïšÅ”Xõ‚äPÁÒ£HÙ·×%šö{u5CAòJ=¯±ü9ÌúEç\¸žéjênéòËÊ«u¯¥nîúnòÿƒº¸oMzŸâR·`Þ[Ögõy€šg\ÇîK#.çûÌ"ïÒ2ä ŸyÍçÎùí2׊¯[‡óg]ü=²­×ƒð.¢¾í·U«è¢øn_K`?«¹­Ëìîyîøyô¿‘òè»J¹;cÄ—fÏAHw,eµ¡ð*Cæê]?˜¾iK/J¸±ß¿C•jÆÞæf'VJg>£MÓ•²ÒUÓuZi¼¬¬ËÜ”jÞÁnûšPø‡Z»R¶´Y5Lë6+NÔWÆFh±u$¤ï^XÞðC&4˦#wou§Píùœša/]Õ~S:¦uú©‚Çó²GxÆé&ºm™d[(A°¯Ë ­ÏUk6vãЄšþØ0º^"ôeÝ"TTˆÞmgÑÞ=óǾ›Ikûì0…4¾ÁÖ©pÂFzÎuËI-\•_@´žU« .¤Çe=m»=ÑPº{·KŸ™nrTìd…A±c¸«‘Ñ‘Ô:¢a2 WñrǸ-/kW¬X]‹ME¡+Ó‹?ê!ÀªÖ„ó—àS¾çòyýÅrÔ"R?pƒÄX3··™64ø^ºr,ñ? ¤§þ aóÁ‹‹ÿ ˆ¶² endstream endobj 126 0 obj << /Type /Page /Contents 127 0 R /Resources 125 0 R /MediaBox [0 0 612 792] /Parent 120 0 R >> endobj 128 0 obj << /D [126 0 R /XYZ 78.2 705.06 null] >> endobj 22 0 obj << /D [126 0 R /XYZ 79.2 700.753 null] >> endobj 26 0 obj << /D [126 0 R /XYZ 79.2 652.056 null] >> endobj 30 0 obj << /D [126 0 R /XYZ 79.2 597.322 null] >> endobj 125 0 obj << /Font << /F43 55 0 R /F8 59 0 R /F59 62 0 R /F56 60 0 R /F62 70 0 R >> /ProcSet [ /PDF /Text ] >> endobj 131 0 obj << /Length 899 /Filter /FlateDecode >> stream xÚíYmOÛ0þίˆøÔjKˆæÅH›ÔAºu¢¬¢ 14Ma¢´ˆÛþýüò¸qš”†6ÔåÃɉ}¾—ÇçÜõú.YÛèÔb h`%#+dµæ:!#V2´Žo›¶O½ÆM“4î8M8µ1žpsúÉ)ãô #åôÅõ]>œqJ15‹˜»å¤×¿s"œ|N¯•¶)´ ¶¶!ê §õ'ˆþ ‹µåbŸþוå¤yœ|ÜèøÌ@ƵlJF"K)—sX"$l*2¼ÞJ‡jéUîâH=æžÌ^/°Wp]aÌŒ÷T¾—Ø»9„óÓK–X>¨^Z0ý¹zº'  ¢ïëØ" ÉßÁ)NŒH|å²·±z½Çm…Úð´XŽx8rÊA 9¿áâ6üÄi—S\àV’g†Å_!XjhÒE_˜ú"•¾®u¤”2K I)«>$Ôã• ùÓÊÆ®+›Wö‹¬lV’%°ÿ1,uÄüÊf5`9¨/ÑêV6öKªl6:-Ï"-Çk-:Œ†j;kriÔo R˜“ §ÜI/ô•¿#i¤Uh“©fPäF…Y6+_ò~Øøt1Ž0‡þØ’f,ÝSòï!ÿ¦$_.{ÀÊň¢ š(VD;LpÚxgx¦h“i‹æ¯drb´å¦0æ*/E'-â ã&ÆTèþá%Æ):t¬¸¼CWÎFªæL‡LɧF¼šȺVÙ?†Â3£q™J»¯ïPJŠÑu°Ž•Öþ¸§Ä(ÊäCN}mª-™ÂPÁ³Ïi€“ØæF<Ä‚ ,ÈÜ_òö4[½UuŽp˜6&Øß{š}-ÂHÉgq»v@m쉗ÙçWÛ×+ÜV%« ¿o/u™_’cϲßs“_q!„oaµo}èëgùñÑž;Ï…˜³j»ÄþmÐÞ>JžF>+ÅQŒ3áÓ‡¹³Ëm±¸Hdq Ä0n0´qzm†<ÄyU]ønŠìb‹¾kmc^ûXÀÚø¦èoá-¾):¥yB<ÅR–§¹kƒûÏçFêØ\tª€×Æô> endobj 132 0 obj << /D [130 0 R /XYZ 78.2 705.06 null] >> endobj 34 0 obj << /D [130 0 R /XYZ 79.2 295.224 null] >> endobj 129 0 obj << /Font << /F62 70 0 R /F59 62 0 R /F43 55 0 R /F8 59 0 R >> /ProcSet [ /PDF /Text ] >> endobj 135 0 obj << /Length 515 /Filter /FlateDecode >> stream xÚ•UMSÛ0½çWèè,$ÙŠ#n ¥Ãêv:L&$2Ò‰S~?+ù mÌGÂaGkµï½]isX÷öN¬NºˆúVTN1pJVN‹z&.³Ë¾Î†d×ýÜš"»!wBÖÍû×õ¡Dn é4â—´±&»:[µç&ø¼Æù) ™µ!ÿØÖ_øwñpûÎJc´Èµ–ÎÚDQ'Š‡äþdgŸÈ<«Gü–dß‘ÓcxÜ‹mó‹l„\#|»G^çÈÆðý^µÝ Tbø„[@>“@¯@ïÆØ‹©bZ«Ý•^$é%Çj¯!q‰½#à-:~þeû¾Ó©<\μÐešäoý9Ù®ÙWìƦ•-DÓ, .éxcXEØ\Û*] %sóa> endobj 136 0 obj << /D [134 0 R /XYZ 78.2 705.06 null] >> endobj 133 0 obj << /Font << /F59 62 0 R /F8 59 0 R >> /ProcSet [ /PDF /Text ] >> endobj 137 0 obj << /Length 119 /Filter /FlateDecode >> stream xÚ31Ö3µT0P02Q02W06U05RH1ä*ä24PA#S¨Tr.—“'—~¸‚¡—¾PœKßÓW¡¤¨4•Kß)ÀYÁKßE!ÚPÁ –ËÓEŸÁ¾Ô¨o€B¬Â@ø €a—«'W $o&| endstream endobj 89 0 obj << /Type /Font /Subtype /Type3 /Name /F64 /FontMatrix [0.01204 0 0 0.01204 0 0] /FontBBox [ 24 27 35 52 ] /Resources << /ProcSet [ /PDF /ImageB ] >> /FirstChar 39 /LastChar 39 /Widths 138 0 R /Encoding 139 0 R /CharProcs 140 0 R >> endobj 138 0 obj [43.59 ] endobj 139 0 obj << /Type /Encoding /Differences [39/a39] >> endobj 140 0 obj << /a39 137 0 R >> endobj 141 0 obj << /Length 149 /Filter /FlateDecode >> stream xÚ31Ô35R0P0Bc3cs…C®B.c46K$çr9yré‡+pé{E¹ô=}JŠJS¹ôœ ¹ô]¢  b¹<]ä00üÿÃÀøÿûÿÿ üÿÿÿÿÿýÿÿ@¸þÿÿ0üÿÿÿ?Ä`d=0s@f‚ÌÙ² d'Èn.WO®@.Æsud endstream endobj 84 0 obj << /Type /Font /Subtype /Type3 /Name /F63 /FontMatrix [0.01204 0 0 0.01204 0 0] /FontBBox [ 5 5 36 37 ] /Resources << /ProcSet [ /PDF /ImageB ] >> /FirstChar 136 /LastChar 136 /Widths 142 0 R /Encoding 143 0 R /CharProcs 144 0 R >> endobj 142 0 obj [41.52 ] endobj 143 0 obj << /Type /Encoding /Differences [136/a136] >> endobj 144 0 obj << /a136 141 0 R >> endobj 145 0 obj << /Length 104 /Filter /FlateDecode >> stream xÚ31Ö3µT0P04W0#S#…C®B. ‚‘)T&9—ËÉ“K?\Á’Kß(Ì¥ïé«PRTšÊ¥ïà¬`È¥ï¢m¨`Ëåé¢`ÇP„ÿþ7Ô3`‡v(P†ËÕ“+ L5* endstream endobj 71 0 obj << /Type /Font /Subtype /Type3 /Name /F61 /FontMatrix [0.01204 0 0 0.01204 0 0] /FontBBox [ 17 27 27 52 ] /Resources << /ProcSet [ /PDF /ImageB ] >> /FirstChar 39 /LastChar 39 /Widths 146 0 R /Encoding 147 0 R /CharProcs 148 0 R >> endobj 146 0 obj [43.59 ] endobj 147 0 obj << /Type /Encoding /Differences [39/a39] >> endobj 148 0 obj << /a39 145 0 R >> endobj 149 0 obj [525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525] endobj 150 0 obj [525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525 525] endobj 151 0 obj [277.8 500 500 500 500 500 500 500 500 500 500 500 277.8 277.8 319.4 777.8 472.2 472.2 666.7 666.7 666.7 638.9 722.2 597.2 569.4 666.7 708.3 277.8 472.2 694.4 541.7 875 708.3 736.1 638.9 736.1 645.8 555.6 680.6 687.5 666.7 944.5 666.7 666.7 611.1 288.9 500 288.9 500 277.8 277.8 480.6 516.7 444.4 516.7 444.4 305.6 500 516.7 238.9 266.7 488.9 238.9 794.4 516.7 500 516.7 516.7 341.7 383.3 361.1] endobj 152 0 obj [357.8 306.7 511.1 511.1 511.1 511.1 511.1 511.1 511.1 511.1 511.1 511.1 511.1 306.7 306.7 306.7 766.7 511.1 511.1 766.7 743.3 703.9 715.6 755 678.3 652.8 773.6 743.3 385.6 525 768.9 627.2 896.7 743.3 766.7 678.3 766.7 729.4 562.2 715.6 743.3 743.3 998.9 743.3 743.3 613.3 306.7 514.4 306.7 511.1 306.7 306.7 511.1 460 460 511.1 460 306.7 460 511.1 306.7 306.7 460 255.6 817.8 562.2 511.1 511.1 460 421.7 408.9 332.2 536.7 460 664.4 463.9 485.6] endobj 153 0 obj [583.3 555.6 555.6 833.3 833.3 277.8 305.6 500 500 500 500 500 750 444.4 500 722.2 777.8 500 902.8 1013.9 777.8 277.8 277.8 500 833.3 500 833.3 777.8 277.8 388.9 388.9 500 777.8 277.8 333.3 277.8 500 500 500 500 500 500 500 500 500 500 500 277.8 277.8 277.8 777.8 472.2 472.2 777.8 750 708.3 722.2 763.9 680.6 652.8 784.7 750 361.1 513.9 777.8 625 916.7 750 777.8 680.6 777.8 736.1 555.6 722.2 750 750 1027.8 750 750 611.1 277.8 500 277.8 500 277.8 277.8 500 555.6 444.4 555.6 444.4 305.6 500 555.6 277.8 305.6 527.8 277.8 833.3 555.6 500 555.6 527.8 391.7 394.4 388.9 555.6 527.8 722.2 527.8 527.8 444.4] endobj 154 0 obj [787.2 855 859.4 650 796.1 880.8 865.5 1160 865.5 865.5 708.9 356.1 620.6 356.1 591.1 355.6 355.6 591.1 532.2 532.2 591.1 532.2 400 532.2 591.1 355.6 355.6 532.2 296.7 944.4 650 591.1 591.1 532.2 501.7 486.9 385] endobj 155 0 obj [383.3 319.4 575 575 575 575 575 575 575 575 575 575 575 319.4 319.4 350 894.4 543.1 543.1 894.4 869.4 818.1 830.6 881.9 755.6 723.6 904.2 900 436.1 594.4 901.4 691.7 1091.7 900 863.9 786.1 863.9 862.5 638.9 800 884.7 869.4 1188.9 869.4 869.4 702.8 319.4 602.8 319.4 575 319.4 319.4 559 638.9 511.1 638.9 527.1 351.4 575 638.9 319.4 351.4 606.9 319.4 958.3 638.9 575 638.9 606.9 473.6 453.6 447.2 638.9 606.9 830.6 606.9 606.9 511.1 575] endobj 156 0 obj [375 312.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 562.5 312.5 312.5 342.6 875 531.2 531.2 875 849.5 799.8 812.5 862.3 738.4 707.2 884.3 879.6 419 581 880.8 675.9 1067.1 879.6 844.9 768.5 844.9 839.1 625 782.4 864.6 849.5 1162 849.5 849.5 687.5 312.5 581 312.5 562.5 312.5 312.5 546.9 625 500 625 513.3 343.7 562.5 625 312.5 343.7 593.7 312.5 937.5 625 562.5 625 593.7 459.5 443.8 437.5 625 593.7 812.5 593.7 593.7] endobj 157 0 obj [489.6 489.6 489.6 489.6 489.6 734 435.2 489.6 707.2 761.6 489.6 883.8 992.6 761.6 272 272 489.6 816 489.6 816 761.6 272 380.8 380.8 489.6 761.6 272 326.4 272 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 489.6 272 272 272 761.6 462.4 462.4 761.6 734 693.4 707.2 747.8 666.2 639 768.3 734 353.2 503 761.2 611.8 897.2 734 761.6 666.2 761.6 720.6 544 707.2 734 734 1006 734 734 598.4 272 489.6 272 489.6 272 272 489.6 544 435.2 544 435.2 299.2 489.6 544 272 299.2 516.8 272 816 544 489.6 544 516.8 380.8 386.2 380.8 544 516.8] endobj 158 0 obj [748.9 748.9 249.6 275.8 458.6 458.6 458.6 458.6 458.6 693.3 406.4 458.6 667.6 719.8 458.6 837.2 941.7 719.8 249.6 249.6 458.6 772.1 458.6 772.1 719.8 249.6 354.1 354.1 458.6 719.8 249.6 301.9 249.6 458.6 458.6 458.6 458.6 458.6 458.6 458.6 458.6 458.6 458.6 458.6 249.6 249.6 249.6 719.8 432.5 432.5 719.8 693.3 654.3 667.6 706.6 628.2 602.1 726.3 693.3 327.6 471.5 719.4 576 850 693.3 719.8 628.2 719.8 680.5 510.9 667.6 693.3 693.3 954.5 693.3 693.3 563.1 249.6 458.6 249.6 458.6 249.6 249.6 458.6 510.9 406.4 510.9 406.4 275.8 458.6 510.9 249.6 275.8 484.7 249.6 772.1 510.9 458.6 510.9 484.7 354.1 359.4 354.1 510.9 484.7 667.6] endobj 159 0 obj << /Length1 2054 /Length2 15687 /Length3 0 /Length 16917 /Filter /FlateDecode >> stream xÚŒ·P\Û-Š»»ÓÁ‚»»»»CãîîîÁ îîÁAƒwwwò9çJÎ}ÿUý_]Eï1mÍ1eí†ü“¢ ‰½‘©¸½ =#7@DNX“‰ÀÈÈBÏÈÈ GN®jébcú9¹º©“³¥½÷?,DœL.2Q Ë‡¡œ½@ÚÕÀÄ`bçfâàfd032rýÇÐÞ‰ t³4ÈѤííLáÈEì<,Í-\>ÎùÏ#€Ò˜ ÀÄÅÅAû·;@ÈÖÔÉÒhºX˜Ú~œh ´¨Ø[šºxþOJ^ nwwwz ­3½½“9?-ÀÝÒÅ lêlêäfjø‹2@hkúojôpäU Kç)TìÍ\ÜN¦€¥±©ó‡‹«‰©àãt€Š”,@ÁÁÔî_Ʋÿ2 ü»8&z¦ÿ†û·÷_,íþvÛÛ:í<-íÌf–6¦qYzZÐÎä/C ³ý‡?Ð hi4ú0ø;u @\H ü`øo~ÎÆN–.ÎôΖ6qdø+ÌG™ÅìLDìmmMí\œáþÊOÔÒÉÔø£îž ÿn®µ½»÷™¥‰Ù_4L\Ôì,]M¥Dÿmó!‚û#37u°122r°sL¦Æ  êé`ú·’é/ñ_o{€Ù S_K3Ó/8og ›)ÀÅÉÕÔ×ûŸŠÿEpLLKc€‘©¹¥ÜŸèbS³áþ;Yzt?Æ Àø×ç¿OzfbogãùÇüï3hjˆŠ©ÈÓü›ò•ÂÂöo:6v3#€‰‰Àññàû¿qþ[ÿ°ÿ[ª´üwvÿˆ(egfàú‰êý‡ˆÛ¿'ƒòßkCøßäí?æÙ@ùgüuÙ?þ0ýÿ^‚¿]þo³ÿW”ÿÏñÿ?3wµ±ù[Où/ƒÿ—hkiãùo‹yvuùØ 9û ±û?M5LÿµÐÂö6&ÿ§NÊø±!Bvæ6ÿ-£¥³¸¥‡©‰¢¥‹±Å¿†è?]øncigªhïlù×… cbdü?t;glýq©8ôêo•éÇJýï‘bvÆö&íóGßNN@O¸Ö 6€7ÓÇ’š˜zü=Ûz;{—À9_€™½Ü_eg0ÿ%úq0Äÿ fƒäÄ`úƒ8 r'€Aþ¿ˆó#Šâôá§ò±Tÿ‹¸>¢ÿ (F€Áø¿è¯Ú0˜ü2Lÿ ?¨3ü«-ÿ5`þ8ö£Z@g‹8}2ûãôaaféö(©í]þáðabþø‘üŸp¬lÈÓÁâãâücñ!³üüÈËêðƒ®õ?à_›À¶àÇf3ü‰Ìöáj÷1ÿÐTÀþO2Îöÿ£þ ãðøÁÄñðƒÉ?x2}¤íü笿©Û?x±}˜;\S>ˆý)öÇZ3¸X8™þ£”É»¸ÛÿÃá#×ÀtÝÿѬž¸|ÔÅËÔé_Þÿ3íÆ®NNo‚¿ï£æþÿýÚ15õ05†[Z°7æ ±jé|¬Âw§Û›ä›%ßÓH£¢ó^rêr}F‚N¡ªÍ ÚpºJíGYÝ£¼\&~ó>ik‚oORêxñy5HPžÙë€û55(áÑ8T±2¶°§´_Ë.ÿZñ“î‹ZŒn`éy¾Qö< ” ! 5Ú¥òÜÝý,ZîÔobé8ßÓ/,ÅÞڛ̱Oó^kUªÌν¸d¸Ú8„àwhã3Þ‡_¥±½ËJb6øs8"ãF–CçeÔqIüqœBÊéø2d{ÐÉzsÝ3lԧ䟉a¼CÉË$Ì’jHGË ² ,ýŸÞH U5AMhºúˆzOÏÕz¨}ãp¸™¾LÚÝó¡owgû±¿>A1Tg$d!SÌ@ÖI—å°~N¨äûŠ):i*òÖúO_ò@gnîSâb«»Î=ïÁ‰­8ùb¤Øt˜tqöVÜo1ªÓ\‡q‡Ã°yvuß5¦Ùæ–u$qkÏE–ׂX##´Ê]ÈeŽ¦Óçh±¥1™‡ÕkåV3Cz¡ç\ï¨Lò6]û=”ô5Þô¼—°5åé R[Æ_Qò2ÁI<“÷ALº á%ƒs†^Þï¤<@}¶ÎFVšÆ`Æj¶iÎå]ËMf©€¸ËT×&]öRÉ1–W=QJh!ïø‰ Ø m°þ™âX\´•K‚T½£øIÐÍ:jÔå½Weve&OŽ|=‚‚ 1ç3.É%Ì J¹¤Ð2G÷‚?IeNa6¶Ëé×Qw꙽6øxqqDaÝg¦P¢OïC`EÌÔͧøPs†ø1œÜšñí×6j•xÐßB¤ ntÜ+Áð¶Ça)´ KqgÊs»×ëœM$MÅKR?c}£vÞ?Dü9¨jÂ5' Ü,ŠF ]Ö‰&}5o`êx5C†Ö=Lf<‚å8#*Oé£Rf¼Êb[¡’þødë¾ÎÜAÚa÷Ãi‹Ì'ú÷Œ*Ú™,tr’Þ´w¥f©áïgÖ!z‰wô–ªÝÅGfácóÕ&÷#ë^ñºxø@ùªR3+žXÒxöÓJÂ~s°ý8ï§;Tê§õó³TÜxtZ¥]$æ’Ž‚—*ŠÏevÕ¸º† zJÑ!Á܇HÛkmýì6¸vŒF\a¶z—W´' ËeźZdìx:4jbQ¤ÃßbäòN)§èE_·dk·+pt嘆½X>—–PL§°—„\2§®BEõCÒP¦ÜfX6àˆn¼34Œ€¥XS¢&ÆÆY§¡8Ô"¹Þë <‡ãlÏ×ëJúk¡Ü—ÿHlzÇ„yA7&ïEö£Äø´ 'í¶èŒ„ì›öËqÁ}zÓ{'= ­fÒy2 U.$ö‘B‰nÀ!èàs$ETºEGjêWí]'B¶¹Òol$AÔݵÈ=„§ËǼu1“)¢±1´²7fV4É §cÝ]=?@ïOrG³I<û,HÁ+7\u—}·—H‚áFM¤ĨaiV=ûzûCnô}.m0˜å°‰Öb}Z6µ%¾&áôt¦ÒðßïDâS ýKøˆËev°šE­ìj¥H<14ÃñVE[|):ó#î¬ù-³;û—NQ@0Ð=êbNŒÚ\ûðKÂfêG´éêmÎÙ^½)¯{BƈþˆD³üÆ6åÃS-D^*"’­&àõ²_ÊØ!²¿Ž» õë‚­êMkæؘÏuY'êiQ-@8-ÝAr~¾hçßØäÌÍë0Œ…îôÿ<ØB…ê×¾Ýò3¶1Wbt¡¬¸\Û/Sä .ZQ,Z¤c‹%ÒwáãÍüu°t[ =¡êÓS È«ŽÇø„G]¿ˆ#i3©ªe;=Ê­å£Æ"Õåu°€ŒáòhNþ ÊÒþoß#sžÉž„äª$Á¢®þÉÚ€ª¾“—§‹ò[;®q¦ôgºð‡½¼Ìr”D0Ъ³!Ä„+x–!¹5Ïm¯’}Ú-íËVÁýge EaKþ›Ýé“â‹Ó·uñy]! ëzû´–ÈM”,Nb(°tˆ‹ j¨žaÂHy)<%·R.V0¯Žß‘¬‹¶È;N*BÑìã #½ïK9пy/&Ô(Í÷î~=­S*0§F·½á¬x±@2îÀÿ¸£ÃQU¯ó}4¼ˆÖ×é6E·þ¾½˜KøÊ# Øí}ŽÀjãçïá3Í-eQJš¦ËøÌè9³qVŽ“Kz' £`„ÙX‹ÀçÐ} Es¹d«YÅeù’ÌG;0Ù‰û«» ¹ÁGG9c«žŸ-Pê zHE¶Së‚ŠE…ç§kõ*#5áRðª#@Õ¤;Œ5û“ÑÀ‡XÊ g5©G¾ ½çÙt9ŸYÈŒéG]­ e¤J ÏäVVJ” ù¸‚oÞ$X6OºQ=ë‘Nu¸ôGЋK¡ >¾©G§;€ú®¾ÿ=õž­Ç¥éCÁ5ŸîðXݧ§÷¼á–#΀é¶MÄ…t¹òº®¦˜j´_¥Ûh–p±›iÑTß.Êòüvטn2àûã2 yyüMhkõgÙ‹÷̲i{&Ë|.k¬;•9Û9šo‰ø-á# "ZêMú=!YÙò? ;ê,г ku„Åû×ieÉçlÕ²:Ñ›„M:©Éêˆíì=¶Xd(wý7êdÝ::}1o¡ifj<¸¬ïÑ_rp• ¬ÚnŸC¢ Ì;‰ÍS7ì×W?‘ªáaôvZD—w¬RÎe˜ïÛs{êƒ Ji[M›é] 8:Ó‰“º±.?xGBxÚ¾ 4“ì+TÛ®õ×äfRÕÜ—cdŠÅê:h0!ôÍÎ$Ú'O£ƒxî,D.Q G]êv .›ÅLI ØÄ—’Cn9Yõfƶ‘{fDs[€¯\;Eßz§½«GK3Ñ*µ?5Ò9-Û,ÅQ_t8‚eâäì,µÿŠÊwA€5ÿ Çmg$ ñ,Û>臗üÝéÀŠM ¼B^Y½Qù šÃsó:Þ®ütkª]k8ÅuÄeÁÿ+Ñ D6ëð·è^G a]ž|¡²GH½×ÂBH¢†;|3œQwOOIŒ|ïã05?,^›žqà»Ü!dHwê¹óÊbÛ¯Mdƒ™ÎÁ—Éy~ñÉèÁÔ(·D¥ðQ+äÜwT<°ÄçšlvLòãpÒ¢ï~Íñð©Q?ö!ÁMÁ~F&„.©0e\O™†öûÅá]õ-IpŽŽC=›Üãi“›ƒý`E.‹ý¶•‡ ;iñ߬H‚i–Fªd¬¿ *±aGfIWXýx »2R¥:G®EÎ#ùÖÈßì~´æöÒ¸åC†MÏzœD-8ë,°gù1åÒd4´­ëû… I¨r`S›÷ɦb ªVVd·#e’¦Œp…,ã+Á“g4½‡ÈÏ¥á\Š µ²ß%]©=¼'âì±ç1lis|„ìÞ-îýQ¼ò1@"4eæ5jý×SB¶/šÊ† +Ï]eÞÐ\†5œ›˜ÈqÑÛƒËâh¢²Aã>óïô£Uy‰nÀãM•½T5òqkðYaaÃsë"_X±þ=äæÝIeÄá ñôã3M”ºpŸUÏ© W¿=%T‹Jë7VuèÙ¢#ÿïž ôž¸ÖV²Ý+ýI°<~Z­,zBñ—Õä"ÐŒ\rÐd‰ìv «nZ s,5ŠI•ª Fäãtü˜Ê4•ê ónÝoý/Qé'k34œôáŸFK›~³úBÒ Þæ§]˜ˆŒ/äóÜŸI v× i“ 5%âä—7^üD1ukãGëQ–­€ zù%Hæ³$ªQ={Ë (ߥ?ÂBÍ(s·x4ø¶:ÜJå; ^#}$gNò“Œí™óÊ Û¼RÄ™Y¤™ƒV&;y>Gf²crŠ*o?%‚uái•‰´ß¾½òk[+6¦±¦q¶âÃ/¿ÈV&@á ð:hW¿xˆõ s”p6™ÊŠP¡dˆ "êÛ{¾}ÑÏ«üIÁ…¾‘ysð½’¼ ‡—×}»ŒÏZ y|åÝJ°JчÀúËŸµPüý4ÌÙ—Zómà—L‰Uiú±ƒž¿_:'o¯àN|_KK¡UÛsvxy (‡üä%™—_¼~_¿­ì€¬ü׃gäIcnØ) ¸H5E¬öJ%J/0±²ÀÕ™]kƪ|Ï\q;£ÙÖ6ŽãNJ„l ì…£=îJ帵é xF¿Gºƒa±ØQ9ÝÈçmªGÎÈçwÿz·±ýÉîȬ+æ¿™Ó¾ 2ÑsZD!d¡„˃•ç8”æh$†˜Ûbâ(ß[iò¢ãÁÙx›ÀA5´'w&BU  ÇÂöìÃŽ¨ÐÔH•S_ªó)Ÿx"žø‘mÞsXnFA;¢ûkáâf“W—að4`¥I³³Z€=Ñ~ê|`KÂà}= ïuÁö2‰ð¾¾ãTÞæåìRö× å—9ÑùÎ=ºpЇ]Å3ªÏ§n¯¬QS•}bÒêþ“:\=¶Å<`§NñHN`Ÿ¾˜žNœò4yèÿ<^•NO?ªJ°âÐ(9&Ílü™5 ¼8Ö8ú½]X]‚ÒÓr[gWªTCˆWðÛáN&_û½@-ú‘9j ¢ê˜Dù Z~ £¼³,ÛÝÈäQ‚,ñk],(û‚¹Û3œì¾}±Xí·á?)ª&™O,šW“î]hð ²J{hÞ}i.“¦Éôø÷Æút0¥B¹Bi}ŸAXäGÑ}ÖvÖL‹Ênë1Ñõ9e˜Ò^<©Í’/Ë–9ªŽU¼–:V#Éƃon2Å°¸#+ÕššÃ¤`Rö¡Ñð±½÷«¨ó[ðeÒÆÛÜ£4*D=ÁP”€ÔC`éÉ鈳Ejíʶ^–õÍY¿J“ì…çéºÁ»Õã4åÅÞ‹ÀõxÛ<ŒCkev¦9tߪ'áκL!-f|¿=›Š$"©L.2¶ÂbÎþ­ñB.ä5o¦I1 Ä@ÃÆö°ÐÒç#NAOO%•×1Ô‹ä)M¯÷Û£%ÅÛHK™O_ª]£§M¢—øœpDê5nl:ƒSÆÕý5L<×Vؤ‘ãg­WOOfáUÚ;,TÖdÚv¿P}Ä X|®À‹Li¶ùf´å|‰_÷î zÂ-åÝdHPqxŸŸCh-HK¨ÑZ7/çç*˜ž ¬:M˜} æ.\Ätß´C"^æAnK =ËÀf˜ÇöCÈ'8†§B°‚4p¢P Æ©OÀƒô¢­•¥)«´MÉŒMpŸX³Þ`¬ªÀ|õ]âaáýºr<ÖÌ{œ PQÓ›ŒŽ³w¸EiúmFÂ&( [°eäˆq ªGpß­±@­®G$Wí²¼@«rinc ×œÇUsL'1¦9ÿèÕxH#á““ofè¤'&‘°²t\ÉŠ5/µ…×k–³+ü ãFY'ÚÀÐt»,kT‰ê½h²}±¤\ͳ"‘) ”PWEÞz÷Ô?\©þÝj^hë·™aØ Ís¸5á 9í½+$mœª¤üX„àhgB¹Ž¼’å™~Ýzo/:a¨Z!-±z#î¥ \½ý>K¨øÚðV¸˜Œ²x9æ1œ%"Øñ“$ç0É«÷…qJ ìÍô;˜¶êñmMh¹²Nõ£ùÐTé—ߘÁ3ØÉ@ÈÐ’ G$ýz£…˺î¥XêWÜ÷S§‡Ó¥+ŸnîVuHùxa…>5/¤ÑUI£K D­¨$Rí;«‹lg3J­´h3\§Ô¹¼ŽÈB–c3^&•v¸?@$ÑÎ&†ãsŽ­YÊì}ÛS¢cŒ‚ʃùÖ Ts4² $­`Ë»§úPj9M¼`v¬ŒQ";«7bëP¡°^žû›Ñ|{Hp³8.ËjNIŽ%g7·¡‡§º6~n ÄZ”¹ø\ËÁjfЕ‘¤’N5Æt9ÑÕ§û€µLxJVÛ+$dLž•›=~%ˆ± PCˆ£»!¢³ê^Þ¯÷o„Ô–¡¶;Ð?É20¼U‡d²«©u?£0!ÒMØúUqM³p¿«:¼ë¶~&Œ4ßA+˜¯¾ î2›æøÔž…€EYÎ3i¾:!ïüD–äd]¿9›=p®tú9—)Ái'€• â{šÌ­h•~ås×A…xi2ȶ§ —>a˜}~jžÚ¡IÍ —–°“À750ÎÕ6†ü¦0=¿m¤Ò|Ô")ùÍC‡´ÍŒŸ†1{矨~sj¿V´ž{”åy†Ý&}2ö×±²ëï'Æz‚NêB- qÖêužÄ«¡šë ôQ¢ èBªièö[(´ìÑ‚Eñ;ß'W!•öÄpBJô÷ä7°ÀþBbñ’8µyN×®žøö÷˜‚O,¬âHøµ+LéÝoŒ•:÷£ëú³•‚‹ÚÈ‘¸_\MÚ`sƒW’¼Dð»zŠw š&6ÇÖ£þÄ^15îÈiüwÚf2”ü·rˆFŸ 9Š±µ£˜•îÚE¥£áòøOV‘žýßjEO,‹²‘3´+d‰É¼LÅ—JzúÑkï%RUÁœª·q— >Hç ˳S'¼\n÷oºVk*Tëèà鉡–þœ¶.6æu‡ã¨/§ñóNÃ9YL2s” U)U‹¯wV`¿ù)Drøeuk*ö«£T¸ÏêóÜÑÚ(»ÖÛäIÐæ«êý-uÚ'ÕÍ1ŽGÈ„Pωˆ@¡`c>ÚñeG‹×LLö†á›LÄÒ‚TwñŒšÍ|~Ä´è×(Çýœõ{Å€ÚS­ÊpŠûLêÛSº‘P‘(sNäoi̤ìu¹Ä $ŽgùPÑÚßvŸoËÝF`G™…¾C¯î#”/p“y;Ìùw] jh9öv7[mž•d¾!tÃ|Ž;üÁf­ãj7 Qê1,#Â8gftPêć¹¾ßÅ¢µL°çÞ¹#\4€© »ÌœTÝšøø¿‹3ª<¼ÁŒ"‹öÉÄWÜå:gù™¥íÕ3欹õP³¶û›VðO=ø,»*BÚfÒìY}ƒ«ÎoC"Åñý^}brgî{YÔ„¨mNN_ü¹"dÃÈàÒ7¾hYlûýr@L8¹”´®ÔS^e[o‚â4–’«RÑ1«DR=•ãtÚt:‡Bx—õ¸ª“Í Å×å¼rÎO<"~<jâÉÈžˆöìåòpÔÅ™'›à$.Áhá-j¥Ó%í®4VÎX÷«i©Œ’ºÏ—08ÄÑG¾§þ¦1"ˆEâÅ%D›WDúUÝ2ÆV`+Tž^­ÐÛ- EÇ“ùýY'@ö„Ž­Ò<Ïõدžû»| ã9WÛ×€’ë«‚™W*WŒ#Ær¡oò"¿~ð»_‡¿pßq2ˆÄÀ„2!,Ìe±á¦$º$ Õ™_)ë Žè[’OàO‡ÂÊgLw?\Ž#¸ÁðÀŒ”€BÑ Ì\ù7¿©[[èRŠÎËŒm<¼´ù=ª\X›`h1Ïh̤ÓÈ– ˑɼ‰W¼¡áP-&Äu@EÌaSy¹/ÕzóžœNz+¹èoKÛ)ÐnD^¼»qâ¥Ö}5vg¸¦A^¬†¨œÆª0í}m6q°}VV•ccØV$§ƒ¢™b¹2P×Þù£§^µ€Iß„®ñë0_ð[i1:”pëN£ŒŠ…´æ, žßÛ¿cªö0BÄ5W.×!il;+ç9D«ÁGË®,Gí÷æ8aaEBÜøÿ_~§<ÐU$ÌQúâÎEõe5øÇ©¸RîdEí´Äý]†­[§örÚF€]WÎ7 öĤ(Õ}´U"N ó*q6(«VÛT•n7F‘‰Æé$XÙÉÙà¶qóC&惭ˆ`cW=pµÂ!Å:¿¬n7†ÇzØYôá2Ü’žàî­!‡£ ÎØ ìÚ³_A4BOè4\ñÜVV”=áWWøˆýeÞO¡/ŽKÄ—ÂÅ-{êÊÇGma¢hY5-ôéï[¥a“&ßÈ–Ú]=ÁúuÑ%ýáÏ V9Ⲋɥkj§ö4Km¬É"©[ô;ì{F÷ùr^OÖeØÖ±´ãfçÁ·çƒ{”¸¡£Nç ßåóÎonÂç#1SÃÕ–k2tØ¥{By¿¢ FžÜ°ˆ°GÇá'!¥ñ Pž+¬úõäºâ+Íkñoü.%ÿœ¯þ0蛃¦¬<{Za †˜¤S‘â¾8¬óA ‡&jB¬©9÷ªÂ¥þÁª¸A\f›ÅA©=À´ZižXóÿµ?ø™éEL&ðkW÷ŽIðÓ©YC~lÿ&•ŒW"šCâm Ç‘J_“T%|IÍW´'Y4Þçkôi˜Úµ{Þ臾ä<u^þ9PNÛ6:)r1Ó°u¬5´¼xÄo[íqHªØéÙþûb[!3Ýè )sn¸*½ˆ©“ç Y¹ÅÐ2ØœrÏf”î(/“­xâך¡Ôbý¼ ?W´¾£ í—´Æ4Š:È"Ÿâïmy¶Ë\âÙ"Cœ.Ù…vÆ.‰ùNзEGy) §†¹¡j÷Ú‰Z z }á‹“^Ú— 9»Í_Ô¸¾PçU5]ßáPÙÖ(<¶¡  ](AVå{äÅ*V€]‹Ug‡Ï[“ü-…Ëz¼à'÷à1†”¸BtN–vJÅÙEº…ã.ì©å!5f? Ï—t›™‰s¡œðëN0¨Ä x´¢on™Úúe)æ"ƒ»>ÞœÏë²l‹†å±<¯Ì-¾qko–[uì6÷5YP1¢{ýÁjñJ¶iéQ³Âzáñ̶K@ÆbmÉŸ;ûW“D?©ƒ@ÿ’åã<šFUÏ|™Ùà\[ENDÛ—ÚT°=—·]Ó‡|e¥¢Ï>F‘:ž2ûª?ŸÕM»ÍZðÃÈëuÅ›©=Ùy.9RÙŽºô$ ðŸ(lY¶m[¾^B‰ ˆÙàsš:üTàÞÊà k ^§ÉEw²t>‚”u"ñ{d»[@”¦gE@™ )7(Oiº»Ñ”"I¶i¤OŽd}V¼•ªƒw†ëro|6bh gô~“@]²Hœ›i„ÉÀíÒðs|BÙÒ{ ^vi‰ Ý n”N®PI¼D<ñþZ¿ÿ¼ÙR˃<\ɽ˜q¼Å{ÄÜž? ~f`eQÒÅgàuc6n¥T‹ÆÕo¼†¿Ì”ΗÞËðƒyîàÍ(ýú8hó{­IÄŒsWñ§j\¤ÇÑSÀ[r“õ‰H–31>âa›º5w>ƒu··Ó¼Ú“¦øH©€dÎÓ®¤Izqm÷[NóÆÿÕÁ·Ñz¾ð‹×U«*×8ø8ìØîŠØ ”“®¦aRšêL‘}0xË]Ò?5(ú_¦C…iÆ€‡6‚ipóBý„Éuç=Š®‘>ßEÚüðf —;Í“ð´`!É% ÈÖ»A×è’¾½a4Œ<œ!Q65¥µóÊËY„©í­OçòD“:Ë@ùHuAPtn…Ï%ªEŽú2ŽöU7Ähö^!zDÖCóõ\¶ÝÇ”x·8âÂófMòtÈ<üvº÷Ô/_` ÜÙå,ç×VŽdî¥T·b¬?ºnÍ{—2O’ö D®Ùî†Öo±»„ë­w6§u¤èü<ÛJ<ªŒÔI@Žóɧ@¡×·¿H bÀ:35÷/èhÞ«  xÇiVŸYد²öóÌ+úR=YCŽõó›ûVXT?[IéçC“å“ß?܆É1}™ÓgI Òª~AÛïóš§Yœ›5Χ–²vž‰ô¤½v7bI@:(a"R„’øèÑ¡ü‚và¸acÿî…k±ïˆuž¤X ônLø€1¥$œWIÌ<ÁŠå‹n…Ž?´'VÎyé3µÒw?{s/Š‘۪ʛzÍ¡wº!qÌ%$¨ÙÊÑQqjŒÃ¨t‹ê7›úTT3êtW2;lõi\·únð"§³Æã~1<ömýÔ~7óX—/„íIp¿®­÷О^]­ˆŠÂ—«™\ýÄÊqô¡pZ*SL¦\…¥õiÊ®Cq.áÍc }φ¼Ø`Æp0±.ºªª#• öðqNã~DS4<¬v(*Ó»²—Ëc6L¾,”kûµ÷aûafç´Uh”Í)á5Si¦‹;.yG¡bG ±Ýõ³¶œÙŤ¢ö­oE~Db'…€ÏilÇŽU2¯oQØh^àZ°qQÙ'N¡wºœþÐüåðeW\±ƒFFÂ1à0Ûê,Zõ„ùŸ×Ô”í‡ZÞ"N¦<™‹Ý¾öÅÍï†Fóµ Âþ—Œ5½É ÍmÌwÎIej·:¬œI»ªÎ&FjÈÂO‘q!–•x9JÜ›¡<ö¶1iGnš[$Á!4wÙŒ[ñœËcBPH *JšÛe^Ÿ†V‡kîLxE€9Ø@–¹˜rÍb…Œv,ç\£=º´:*ÐÆŒÏIyÞ¿Z“®x’>ô2' ÏW _³9iT+BÓLJí¾Þ(³¯œ| B¿²á¾ ò ¡\¾ŸÏÜDOûs«Ôy0©Èä1ž|  Y¬aˆ4MüRæg;)L¥ RÂŒGr&<ûôƒ¥*¹)ÀNë§îV{ê$ã(Ö]h¶*zhê/¹Bgµ}ô`I^ à·gÑõÏòþv¿Þ4Ìœtõi¹W÷üÌÐæYÚ)@GÊ$}Ç-X¢#Nñ<•þ|}çl繤R>.«’\&e+Þó³p(½÷ 6X¸*Äùš•NØÅÙ}?8D¯ <)¾‰™r‹iK[–ê©3åÁ2‡­ü¬Iõ_ãô>-ê«u ´>²[”Œ–mÄG†Å÷ÁU,1M‹Ð>GAèŸËú¸ÑÂt s&,ê]ÃÌÖÜXÁñ¹ÔY=R¤Ø£sùa,¸n…8Ô[ Y\‚#h}cuãÊ1[åÂNƒFܶèM=ç3Û¨K}ÿJfxÐUûI7AÜ;Üzü-làˆÃô¡ºíø¥«YþÎ N@H>}d='^M&z‘vŸåàÔM€Èä 4©#ˆfǨüV"¸E¥–Ϩ`]g/¥JÌ$ÔßÆ•+~[XwidǼÎò&ÈhŸGwÚZhºk>®lýêÉýã÷ÅØåë+äªLbŠ}ïR´á*á<¤¡Ÿu-A…é^ø.„p_džyѱûSæ Ò«QJY‹É6"ËÐñÞœÉUywåQ%0Ÿ\3£íMDöŒ”õÊ•Ñ4‘Ï«È/>ºôš¸ 1ƬO·¡I%§êô1ƒ…ËŽÎø”ŸòMÛ²l~n_Q,†²ÏÆXÓß™}ê²TŒÎH眽ÚJî‹!s¥ã–ê*ó“hÀ€ŒóUæÞ¦sJváˆh3‚ ^bf¿Nùp6Q —2ÖqæÎ¥ã(ã ü†â13â¡’“IS°/©ªwÆ."@AäDÌÅØ4ý¬Å.¡Ìíê÷³ü¡ë¥•A¨²Ë[Sÿî­kžy]Â’‡m<¦ç`ê€2Tdıv}Œê°ûЯ¶€fêhbMn Ì>ËQúK¢»ÔŠ_žÔk•œv I\Õ9µÖÍïà~©ÅÙW` î¿}·çUZJíφ)öi{ Ý:X-Í:O•¸×ÆôRo±ÝÊ®"Sûß4¡`d—pl_ý dƾR2¿Z™à‰ô¬»_3 :ò¬M¯ŠùÀ7ÛâÚN<ž‚á„…, ™]p‰ÄÚ×-/ò‡o{{Í¿uÙ Šž{æç|òÖ†Ï+¯Lïy0ÛC&¢†aø>ÓŒVTöÝ*gT–qæÿWÞ„{>õecë:º¬ãáƨ•òÃ}¦ƒÓ$œ„y¤'‰4'<ŠA 11}ÑDÙV¦ãIzj]u%‰žgÂ¥¡ð•·gý½ …n@=ÒÉíÙÆ¡(NWÚÌÛÄü“±F³‹^ñzæ¶ud:€cl°²èåBêœèø²²6£Ÿ´A­îæVxóà| mÄRƒÕ×JÏ[(¦HcuŠ·ˆ&ƒ,è`¢®Ò}|ç}Q_¥€““[ÚŸú÷ ÔÕi/ñ=Ô×0;^x, >H®•“A<0ÈA³hò¹ž†v‹túSC+_<çö­–Çž/Õ>’ë÷F»Øè$Î<ý–'W(_è Ö8þï*'Ìûjç9;þRÍŸ)×£*bxòVÐß3˜J^›caŸø|{ÂÛu¯Í«Ã®zÛoC™­bÀN”Ž`8æ‡ö ò@šîže©ô$ ꯡLC ÑÒÝ‚K¾\À*B;iჸ®™]Ÿóå. û » XGR–ó÷ì5äÏj€GÉ‹‡úF ûãéÅ:´²Ecâ~aæµã+ùÕyí¥XêS!+Å/?…ŽƒOÀÉ`¼9^9zVj…ï¿—'QÒM eÚ.@0¤.ïÚë‡ôõ=²½*.¯»´tûaÉ©%V$3ek6Q@úì÷AŒz[Ø£¾¿ÊÍíbÚµc:’FÜÍ€#4ÎV磾g ŸPŸ©ÕÅäf 2!Ù“ío@ßïOŒ¡¿¾é] Ùû¬VmÓæîm4€o­e…9åïåF8@#ºÚv_!A¸G,©Â×OHgä7AéÄ¡ ‚ôìDDðõ“EGÙɈÈ%¬êR¹Œ@önr9'§˜!AÆ&„ÚZúË•jÒÍèÞnؼ‡¸í ùµgêò™͆ø'ËøÝ~E;ëÞCMh‰8†œ^ $:„d§¦ZøÂõ2À!ÖwÔæ ¾‚“‡Î¿LÆÅÈN{… dkþNã&©VÕ´³ ùCÒ¥‰vkhõ ®FªUÝÀcÿ[KœIu6Uyj>ÿ­Y›;ÅEë®nk1»ç_¤yÉ  ”)¹@å{~­§WTšæ¡FjÅjÉÌ°ëa÷YÚ´­ó±I*µF'‹FeŽßöŽC€¨µÄ×dixGˆ8ÅðUš”ØÈÉZ4/·{›ÞyõÝN'‹¡G­S_¤Àx„—y3s§ì¹é©úùªß»ûhk¦CtÀç·Iº!—qPÙôùøº?#µÈ¬È‰Å+•Å-NÚ(:é=îÓ‹í~\©îeÝì7O\E׆ÝÖ=B«»cb.á³Y/üºª²'Ga¬®{˜Ýí̽i¨kÌO/?±xãij¡óݲÞ Èâçû‰ xŸñ)ÇW²k<Â4AZ¸˜Jijô}z‰<ùæ‚Õ î>†Ý°p n¸;·¸–û°¼Éi—ÞOƒüm¦ˆlW"¶(áHŠ^„†åÖ&¾‘ Ó>Óùl³¥l?“ݬɾy<Ž#SÊ6^UND2¶)ÖÚÆÚ¡U"Õö»lSlÆÙDŽ|6-C9Ua ŠVf›ÀvGÃvâÕJºT Ÿ«s£§A WæR,ÎýgçN[Âà{’V¯òÄU¥ïÇc{2HC`ñ±ƒ¡_›Àk¿5ùf¦èT™ßRï¯=UàjèþL2ž&ê, (YâÞì‚—ë]7›ñ%$“©[²™:P=ƒä÷^5W‹¡ @ ÁŸJyd*ÒW±Þ$³8˜ó¾Ž|æÔÄá+­«D$¨Rå_™ßÇTÌ7àR ,PJÐÌ`ä>Ÿ‘¤ =’òV)0.Çßu9Á@Ë íßÞrß\˜ ›××Lq ”‡%"†ŽÆPá8]Ú}F%Qsu,“Èì ª°o0ˆ„ŒŠ _îØ Ž…stöÇ[´qz"ÕHYš›G¿Vý¿¾>¬bÃS ÕÝœ,«)æƒâFÁQ“?n4÷µKÁšr?6R$Á àyÕu¡3"Ô@­$ÐË$iaN5®FÁ|սтêàÇeB|2°‚a^öeLÚ Ó¶‹Áy8ú&5#~ÇÅ"{e2²E‰íŽ’¾_û]µ„µÛÈR>°í\¡œFCOT…,[aÝ\R)#ýÞ2à“q±êÛ:ÖYS êÇ!3iìùÊ“4mο±RØy·Ë¶ž€Mð»<沫)2uÛ]ÐmÀU^>Ò$ª¦ï3 œ´Rų¥8Rï…"³ðº¢Ìþ4F]¬¶Ö"},·O'íBOBì]×ô@G‚še&ͺoɵD¤!aÏ kÏ7¡OLxFÓÝËé °íF|p8#t8.„‚¡šâårí¦¾4oÛñD™²6)ß°Óh¹GJOúëNûèOêžÀ5Ç3%æ£<œ ûé°ì\ÄZ®x-ê´ Ãß,ü¥ìÑ{¾ðé ŒæÇõ×Ð$µk­Kܹ,ï3*¥iv(Çõ¶B5•=Ç ¾VjÎr'5 ¦¢ËÒµ<ÛÚÞ¯™åâ¤Åmî}Ùì°}`Åýž¯Wp¨Nöù=â¤óˆÍý5ÖBµ¥>ñ8·°Ö ÿÄR|÷&(âìëj â âƒ0:‰ƒã+Í}ßÅòiï¢gÉØ/=N0o¼þlü»‡wº­9š‚™úg ‹MvÀ$$-xÐK'ÿÚE'ä ¶“cIÜ^¨Xß«°Ÿã›Ãæi?ƒFůÍÂ0•d²lÞ3ûô";Ïœ/ ,?/˜#,Z‘í›+EØ'zÖdõ¸}"æ·T9KÅRU=ø|€\·R¸.IRè÷ÏÚI`ÝlÏb\[0§ßVðÑ)¾ŒÛ8Í >–EÁ ™'ê¾øh2.õféÉ­JrKžVÉïêÄÂoDˆ`%¢Pt±|Ìs•ì`ã ®v*/³~? ÇJg*hXå*`Lc XõÑþGò帽’›îºfë6¥ðŽ­j鶢6lZšŒ#€µCR™hË‘~I‡±‹ˆì8}ÃðÕ¿ê?f‰ãkpfº£…ñô—ÂMºe¼)Ò¦‡fa­X ¢Á68¢ Heí6÷zžis Èà9œ}â+e¯é–ÀèÃâÐÝ™{Æó 7±_@o¿¥týÂÕ7ÚŸ5?DC)\tY†ØÎè‰-S ØÆ›ÀßVÌ„<·5ye]!IøCÜREØ«ºa£^À -ì¥)©ûärcdq¹;7YÛôs‚âA Ï’­‰ ý MTWõå–ËZ>Ì{3öV›ÇÔ&£Ÿaõ9žƒvf5aÎÐr´i—Q+‘ÇU>øÚÆN³L[Ía2ºDzIm”½{‹ð>cŠjsð#uº[ÆšÐ[8ùZ. 6+­ÖZêŒõX˜^•¶£Í n‘RÔ rýHº®¼¤¸mbíd×(ºo[Á˜¾å¯ä‹­b/Bá¿ŒDÎùgŽQÃ1ŽÆo-˜ô`"tô\‘¡F®:ûþÉqlº7`믘K¾€Œ±ë‚9rÛlaXv²¨¥ødÅrØés{oªöè,A/.-cPvNŒ[p:Ç“F'Ægúu³r-åÛÃäu3+j‘ØJéYá¯Í.<«ZFØx^åN/?fŽ©‘!8Û"‡ôÝ¿“îN^œöû¹5 % 3Fó}øÇ°¹ðèC©šQ ò"ÒÖ ˜r%ãé²n'ÐLX'£‰^Ü}¶!ùÓér•ÁB þè+h¶‚s¯:Ë,c/— U˯ u¢!©v„ T°btÇ‚}ÚÅEø%G˜áÝ×,¹/'é–qXé¹±é3;eº)ÿÓ•åwœuˆÓì\ìfX©-:Fkà‹Ø賃ñ…¬p¡“*hµœÔýv®`e}}1%‘%¤Ùºdò.˜°B˜+‘N“cbüŒ47S í1Ï$,n'²B¨¿g‰ 3¸éé‘«7€]yÆe³ _kÊœK]$UˆD퀘WŽöÚÜò€>ÎÛ¿A aÛôx”$MWW¨$c*¶ºÖî0 ÿ™;CT‚.úF+ßìqà û1\²a l¬ØoûäQãðÝ*úÑ\ÇKt29\·Þ'½Ã’¶ž: 'Ìò `¤¿™„½ýœ7Ïë¶6 £ç½\,™uŒdDzz:é ÒTX¸6?¬ –ç=gá ÌJ9%ÁÞ†“ *G\ð5Ï3| ξÇu0ð»û±€ÂxI=Ì ¨Ý`™l¢ýµg{Ö–<#!(ì£Ô=_«}’ w¤Å±ž‚³:ýÿbÿefAçôeÕ©ƒ] c®€›"U¨å'}d÷ŸŽ­KÒà…è0>’W[>Aè öWn¹ÚAïq>Y‹>‰oìï䨫tè÷Ç<{¢ñ{ž)*/†?G±|K™ñ¹+bñjsÝ,fÀ‡ÆRð Mêö¨p[¹cÒFgHîD— ¡ÉCŸ«Ø\Ú©Ip±Ì,IÆjCj\Ž­¼`|ýŒ#lVÿÝ endstream endobj 160 0 obj << /Type /FontDescriptor /FontName /XWDESN+CMBX10 /Flags 4 /FontBBox [-56 -250 1164 750] /Ascent 694 /CapHeight 686 /Descent -194 /ItalicAngle 0 /StemV 114 /XHeight 444 /CharSet (/B/F/H/I/M/N/P/S/T/a/b/c/d/e/eight/endash/f/five/four/g/h/hyphen/i/j/k/l/m/n/nine/o/one/p/q/r/s/seven/six/t/three/two/u/w/y/zero) /FontFile 159 0 R >> endobj 161 0 obj << /Length1 2031 /Length2 13458 /Length3 0 /Length 14689 /Filter /FlateDecode >> stream xÚ÷PÚÒ C<¸3XpwwÜ% 0Èàî‚[°àƒ»&¸»; Á%<ι’s¿ÿ¯z¯¨‚YÝ«{÷êݽ§ ¡PQg7³3ÉØAœ™ÙYØ’J:ì66N66d °³ è?vd-£Ø"ð†¤#èüb“:¿•ì y;'€G€W€ ÀÁÆÆÿ¢£@ è 6(±äí 'dI;{G°…¥óË9ÿù 3¥°óóó2ý·9‚M€ÐÙdûr¢)Рng 9{üO :!Kgg{VV777 ­‹£…=À ìl P9]Af€¿$”¶ KcA¦hX‚þåP·3wv:‚/°)âôâ19^N¨Ë)>؃ ÿ"+þ‹Àøwsì,ìÿM÷ïè¿!MMílí0Ä`¶>È(²8»;3€³¿ˆ@'»—x +l4y!ü]: #® ¾(ü·>'SG°½³‹Øæ/¬¥yi³4ÄLÒÎÖqvBþ«>)°#Èô¥ï¬ÿ¾\kˆÄë?È 13ÿK†™‹=«&ìà’“ú7çÅ„üÇfrp³±±ñòð@»©%ë_hx؃þv²ÿe~Ñàãeog0‘ò›ƒ^þ {9]AgG×?ÿ‹ÙÙf`Sg€ È Aþ“ýÅ 2ÿ~¹G°;@ŸíeüØlýü÷“áË„™ÙAl<þÐÿ¾bV9½÷ï•ÿ-ù¿N ;w€37'€™ƒ›ÀÎÎÉàåføüožÿvà?êÿ¶ªÁÿ®ŽíOF9ˆ¹€ÿ_"^º÷!®ÿž º¯ =àOP¶{™g€îÏø°q³™¾übÿÿ¼‡üÿ›ý¿²ü¿Žÿÿ­HÆÅÆæo?Ý¿ÿ?~ -ØÆãߌ—yvq~Ù %»— ü_ª6è_ -agcö}rÎÀ— ‡XØü·`'°;ÈLìljù¯!úÏ-¼$·C@*vNà¿3;Ûÿñ½ìœ©õË£âôrW»@/+õ¿GJCLíÌþÚ=nÐÑèÌö2`ÜÜ/ö—%5¹ÿ=ÛVˆóKàEœÀÜÎù¯åá°Jüeúâ°Jþñ²Xeþ ëû?ˆóe ÿ —8¥?ˆÀªü_Ä÷’Eåz‰Sÿƒ¸¬ÿEü/Y€ÐK“?ˆÀjú_ôW§XÍþÙ¬ ÿ—F°þë’þ^Š7ÿCx)Âìúˆ¿Üv.Žÿx¡Xü¾jù_ÈÅý‚<ì-_žÌ?Œøð¥«ÀiÖÿ€/Úlþ_ÄÙþì/âþdæ~ …¼ÌÂ?ü/jíþól÷?î1öÿ€/Jþ_”üC'ûKÙNÎú \ÿ¡‹û…îôò@ý xö§±/ ÍêléúG+_Šwv³ûGÀKý.ÿ€/åºý/ <þ†ÿ3Ö¦.ŽŽ/OþßÏËÌÿÿýý¹ƒL‘çìLƒ­jƒÛn«Å‰Ý˜wÇ„§ivµS陽Û]îÑ“è«2ׯœ{0W¶¥é®Ä–ÈŸ¼Žš¡ˆa- ª­ÞÆñj“»­È xã_ÄëúIß0kˆíy?9xkXÃ5ÃvÊÓä8¸ð¡«äaߺõɺ×õ—.„ÎíªîUñ( <–N1GkFÍÐäšdÍP"83“"1`»cÌ\]Oce?“ËÇ3"ûGsxémpÄÜÍz®–kp8uRêÂ]aL¾ó’8H–ÇŸ÷*.Œ•,4'5škiÇ:pÕPt. •oH–blO†ÆšªnÑH Ú¨gw`åÔñM=±ç#;©vì?áyFVÌd:‰X;Ÿ¨p„¥õ~¶! ¾¢Eè8;HžçY Ìèç÷¢…~~ö‹_à0ÉuÖïöº£t¼â½ýé3>. Aú¢©¡{"¢1C2Hb·¤ÈDøxòEûû@%Ö³µ,qIôä+«‘šuùNOôç^å/G¦A¢KFB{wb¨¯6æ4v]‚ÌJõA“1éVòÝ×à TêyÕú‰GýY&X¢#åJ°vÁµ¼UÅ@à×äð)aT–ƒ¨¤¤ÎسÊ8µò»ÂYF&~uʳàñÌWÎ ¥j* SÖ‹;Ж+~Ãý’ŒºD•!Ò¨gÕ}m™7XϘªùÛ­êùç6ò#”:n§wbË`S[™E²€NkÊàLyo$§½§‰ó-:üŒ¸è…1¦Sw‰R¨JãM)JGŒ‡¹ºGñæ\§ÉÆÛÑÞü.¤ö1×*[ß㪕]çè…],Kbf§¾K-æ¶t«ÌDù46‘ÃwuÍ ï0yj2Œ.“q–ïû^o¿/pÃòÜUx5;ˆØJŽ>·9Ê’8‰kêÞRŠ—ïJRJD—ˆ%¤'Á³Î­°<“^;ÍèùøV¶=— –¾ËÏQ·“¿^O/ƒÔÖÛß.8¬&.`0PÎÀ6T&Ô’–øc÷õ:‡Í€ðÉ\5ÃñõÂÜ뤶€}ϾHK«£'1]°p‚°ÁtC´K{ä)Ýæ5Ah¬¦Ú)AR©ßž‹ù`ƒ†îÕè 0Šƒ[Æ°ó^÷-Nu¦?RÛŸc'PLP’®ü⯋Róê]ø”d®Ä2y‚B´õÓ†Þ!ØÖ3w0¬owmpâP/&jIé1W%wW¦Íh/)$Û×W¡žæ55äúj¸ÜœÏ}8ªcÇ/§¸ ñf¼ãåú´u¸2ÕÙÈ$ÜÂ8\ª%ƒoºÇÙÏY=LøϺÅòØþÁ¦w_‚·Lß­l¼Vîú†6Ó)pž[¤ŸF=šm&06ÅK³z’|PâØù8ÂíX©ûK Ÿ`§îë÷ûŠŽQßߦ9XóJßo„cS˜ó‹¨ü¨òA’ùZr]!¿°—ŠÔŠ¸‹Ä•ÐFÊç z¥‰Ä(OpGhý–UH„é½o¥QÙwXM‘*ß·Xk¾ô¯ùñ“e³™qŒƒÇgÂR8nÛâlÓÁ{wcYì0Ž5I%Ç—ý"ze§#k¢ã1£|[*z°¶qT¶ )•ËÉôâO<-Äñ‰wü…®Â–Ò]Æ:tq¡Ê·©ˆtüDEûøfÜsByk:\¥ð­Üرç¨:’ÕÒdò×1e˜ 3†:¹8-ÉdÐÊŒÇE†¦™b]’zfûAÞë¤&Å–è·½/ß$}ë¾Ù\Ý]•G`µš¥±` ¸XP0á|Cn_ñ‰ÎEWcÇøÁ^Çø“³/€;Y?VMZÈ2GrÍ-µüç—Š8v¢›¥I§ßû;N°´Op`½>Fí±çM’î-5éô#œ¾t—vHŸ½§«öÝ!:ó›Ö€b ±ü^}‚­eB)Èü‚¶­É_ß!£±‰%kN’Í…D3ï†ô¸ý]éî2“øä7fJF®:굑©æ¯©ÂT• 1íWmÒáUί™åÛ¿¡˜Žå‡åÿÒ3‹=/± KŽ«ŒíqW>)É[³ßŽu‚+Ìj–Uô_üP`)ò+{Ú.úrú(§8‹¨ fI^ð\žÑÀyŒœDžð‡`¨Çš;fÎ6€ŸAðQjª[¿ýp`Éãæ%Ža*$¼Véê“1‚¡#Y°Ž4Åáí$>Ÿrl®0ÀxYÁNP]” ¹ûÚ¿íKígü–!ÔôK½øœ÷N~œ9ä0œj+P¨˜·ç|ò`P¿ƒE÷¹Ëjñ¸añ7©mkC]…0=õT‰g÷Ù”¨9¤_S,3ðº(~h6ñõ=}4^•ó$('*Äý³EÕÓ©zâã¢ø1YiÁ¿´ƒ’÷‹BÇ4 ÜéÍ~ëÅNè*ŸÇ@¤×ÅEÜWï×ôd=,R¡$$œ¹‹{I ÔI„8ùoÒÚLœ~µéÉS«N½YRø­ÓjÏá =h þ#¦5ˆeÇñA4RJзêüïÎU£Ûf³Í/e‹Œ ¸¹Ã’¨¶]qõCtÇ¡ô¸ûx ;êF$P_HsZ…‘Îß»|^ Ú€õï”Õ$#gVm¬€ñN¿Î>‚"¤_å\Mª ^ô‹Â£0!ÚRmf"­vD Kzö‹IDà`f†˜ÊgÅg“Xïòk*{xJžN…htEráuOôÂl½PÓ©Ÿç€z|Åó«•[:å¨f\3ôÜîè—uႪVÖì¥amƒ'ÒB»Qûþdu29‘þ®óÁ¥¹Ë…ÇjvµÃUØäYbªè–€w«! /_î:Fô²%ª®|©„ËЂV­ >;U4ÿe.3ÃZ$Š’3’h‡96b ¥ÈYAÛ’øálxåhÐŽŸ_¾–¨ÆšæÈõõèàOé¾8o&c^ÆÍïûˆ›6Æðªץ2Jfÿ6f~¾¡Ð±Jô»J0xcL1–Ž¸yÜ÷miäÊ §¬O,á>múRn,¤‹ê»‘È«Ø©œ9Ú挦×þkþ+2·nJ4⪤œäS‡U‰[ ÷ÝA^ˆoÚ5Ö:/9*µã+•Ö§b.0ü:h$‚–,£.–©Iæ™6‰dï…ý²;THY¢|Ÿ5^…>ƒ‘h*ã“À,Ö奕¯¡k8k%ý–1yQaÊ®"··yÃb“£:k5(Cc•]¬Ef?mõ4ᬬÑö_Sb´Uh nøfÎD¹ÂÊé›ßW%øpÌ›ÇÊÛ]!óˆ³öXvá¨ÉðWgkÌ¡zÅÑå½K=§^‰ó¾´ì$ºy¾ŠUz¶êÚG,ÎF] >¦‰“y…¯ü¼ôIvë»kc ‚èGu#y½ÚÀHà ƭßFLTÎðªî>ä{JCÅå·µW1GH8Ó›sA|?¨ï;©(AHÂX³Ö¤(¤?Í×̃s“c£²‡Q*±J¡¨*nÄÒõüEWãÔÊ­ÁKByOÅÏŸ(­tà[uœàž”‰~HWA³f)(ŽÌ 3(`5ÅÃãLJ^¡2‰rbum»ó&ÿä¡"î|RüŠþ´Mõûá e0iÐ¥?Ò$¯‰5a]¶³n… ð^åÆ Äà£Éæö,õµ£pý¨hk!Ñ ŒP†¶„&æ£EÞJ–î’m‰†m59@Z]?’@‹{û©û[v‹½¢£r‡Të$áäÐã(f€{[htUÛê{ý³Êô \‹º«ØT>ø°ÁmʃêÉ,ýùUÏðY(&Óкo†è.üvÚ.æl Y`÷ÈÑòUt{eÅ+$gw[6{î ’X­À@®Mù}¿pï`±C¶eJ+¼õRþm[îJÇQÁˆ¬ÐÇæÓfÑÓ+CAæ_Gx²>êÔd@oÔ›M;ÔùkÚ3· ̧ª™©Ákö½P2œæ„>9†5(¾„丈‡húãAXø6®¬G­¤éý-Ã`ö†)­ó;¦ Ê0;63“8 QË1áóHöš9—¬ÑH¹õg:¯ýÞQd¤´úßk†Ì ùÆ¢¤aÓ€YQÜšìÇËÁ'F¬±<¿ˆûãz§Œ/êµøY¤L@çb0lÍÏÉÇßÍ4Ð NÂG ̂삵ÈwyJ> ËÅß9³¥¬¿[~Œ6Èvt1Yÿ)xn'6î8 ÇE¶“1žL3µ¾RΘ‰¼%‡|Ì»wÇ¥çHOZNû¼CMu‚Æs7éõû é±l«²Á@ÆõJóX›¥Óßæ™Æ^ß:ƒybÅã[€%‰2ƒ»Bùù³‘µdí™FË Éorú Hƒö¬LæV%Ì4 ¿Aœ™}ß_zí'%Kä`¹¼êÂlÉa ÷ Ò~ÇÒýdúKrp6,¬3—^F²ÌŒ¡ínx€Ö4LüÒ‡‡„ÿÊ«6z ðïfä æWòš9úæÕ:¼3¬,D!¦ax‘Hš¯?1ÝXòžñ)åqÿ yãyÀ/°=R·iõÛÖÑõ*Cå2† Mäs’‰¿ûEë¶ñMká°boS_6ŠGYhiBPõå87Ƥš«—ù‘ªäOŸ2³¡.¤ïó×¾ ÛŽu‡Up\­OÙ“qW­Qæ*ùv'þJÓŒF´L©è§<ƬËÚ^– £ƒgƒ¬á“é?F¬öëÔ}¦~ŸÈ‡y¢L:…FÌ6ìDlÎYá¿)^«óõÌPôr7€Q›²¤¦ðTV—W\õ ±2úÒ—øí3i=lÜ ý”Æ„ï„‚œ8î½ |l ‚¼ ž/ˆ/ÿÖ»Þ‚5×î-£gJ¤ øúö0î}baK8å©@ 2æBm M4;üÖœ+ûŠ…«è¾?OoÀûëx¼#Šß¿ê•/Ÿº­ò¶>p‘·ã,v˜¬>ï~mŽ†uΕ¹ð¸Ø«Û½úùîÌë—›ª>£^„üç<‡&dÆæM1”³m[Óº•DÚ\Õ¥XM–´JóuT½Š¯'ýV9¿8ÿ9K3B€Ø°ï«Ei?¾²¨¿í¼8˵u——Ê÷žÑ]jV“¼mS5h@è&¤â5CÐöEz.?_ùŠ2†‹±FÖtöTòw§ ð ¯ÊFïŠ\伯î‚ŸçØJê)QP`ãÌðÕÏ+Êzx*5Ý®>PJÏ?ø‘Nœ_ ËÄö ç`LêS†¸³áÀ¼Ý~BI»Òóò Œî½\#g &@=áþFÛ ÷Ú=j ¤±0Cómõ‹3Ù>PО);ÒÌñ ½€½Î‹RÎ Í»f’L€NÁoö_Ùˆ4<îWlšnç‡vÁ3²ÚHäLúâÀy†Ü0ïå t(Ãgjãbk›¶:ÆN`†„ãG‰úõh1™ùÃP –;“h¨uÑà(ñuKû5M(f;éz…KA©¸Pnƒ¤¼€%V‚ÔL³¡lÚÑQiÔdZû„]Tà4ÙõŠ±ä[|Xö93tôÇ¡G ´4ú eg¡þÁrx^^š…–´}kV¹ëpÚŠ"78¡‰$¬kïo‚º[ñ(•6]2^ ¥L¸×™{üÈØ´L"A6G$ùzbÕñ p$#«O™Ðy—¼/4 jõ9¾•xÝ6ìîy]בD¼ ·MV›~ÝUêŠtùvH\æ;¨ ›ó!}yA¦ùùÕìÌ/Þ$„›IHº’Û®ŽP&Š÷ ZçmnÓùšUë€÷ðDÏZî<×û»ê‚kÇŸ¾rÁ0Ò1¶—3?Ó]+«L˜zôÓÝK6¿cꆈ5¦n8’(â7vÑÞ“s |,ç•ŒõÕa4ÞKíP£’Ý×ês6ŒZ3Cë€R¼™cóßbpY‡_ö¼4ÙÁ¯L­&>*sÔ<)¬UŽ¨În ù5IhsñHSçåè'ž¸…û¿î7f´Ç8jŒ–nã`Ñ=e«N`圩±²§'óvcõgÊE‘‹×D<²ûÈOß$’È¿›éœÆÕã\Å4ëHûÀÔdž„„ì´±Z²mlTK°yžÀvÅÁŸe„êâˆ8gÒõà~¯n)Óà­©"¹¬Eöze¼“®ˆȳ`„ÿL'‘(®i”ó.HBÎö]ʨ2W([»bO=»më›(Óœ÷‹u¾¶'ÖÈjùÌ~ÛŽ­ïkŽœ’——õŠvËKY^þî6ÄÏ¢hÀµ¤ôzg˜ë¿Ç-µY å\Ò_ó@ïg é>µ&3˜M†üê䱋N=©šYè:h&’îბÕÇœÂF7‡yˆùóêèç bFÂ"šaiÓò´Ê‹?È^ɳž¡PûJ’ÆP@·|rжý_+)Ô¡ˆ7ê \çvt£ÅÇÛùàŒTÊ¨æ® DªGá%4ªXª#âí-¹6?¥kæƒë`ùÊ–Π<†F7‰çr#½må A.! éjBÝë[ ”g,pG¾ci·Hï*Bë5Þ$Â(+ó×Éú 3ÇÚ¹¬÷ó¡­tPägäN¸¡égGþR˦ñï{¤[ùö)_¡•a÷Ô- 2ÕOUS|¾ Èu²¾qa`OEËo·ÐpMýn%³ý“#ÕŽ´ßkæÐpĉz7ÕUªaôw†J-‚ <ñW[FJ=S²fÍWŠ$E<µ4d köñLéÛûn<2E_m)Fo§!3mYžÊZvD“2D.xÙ‚Zª¾SÞÉ}ÎYfGâ ÛÍ6+¥Dx¥< ]bƒº«ó^ÒE¿‘–¸mép—¦òÌ°ª™™ÙP9ä;ÎÜYCš6¿½E¯¡­bλ§rè LÁ”r=‰·žYÞç›âØÜ#³m†ÄþýÒc6Þ_q"{7yô|vŸ•êW ;¡¨<Ä’¸ˆËPôZ µð¬¾S³±Ýë`óµÉ@ ®Àõ@È¢÷×Wjþ±VÇ`>ºšOMM*éÞÞ‰1¦<i(Od^‰€ZcV$î›I¦ŽP§w¶'¾nÅÐz&òlØ·SQlÁõÐGâZîÚŠ²þS»©HL°¿"Ê]‡€ôS¶Ø|èƒõa[žx¹Ú4fìàÛ©ÄSßøó`|;½j• îµî=†ºÉ‘/bÜ¢”yAØ*ÚjdÞÇäçϬ˜5‘‹z+ô|!ëRMÒ»¯í/†Sù™jó—à’ðœîµÞÝ™¸pl,Nßå[ç«æ~šŠÕ‹•nÞî¯ê%?ÑÞ$K TÇ!GX¡$û˳A M°‡zñ,,¥ú¨°ŽÖ‡\Ô]F}(÷¢•,>µr¬"ÎÏ+¤“ebÃ%§5MöÕÔ“ÝüÌKy€m»›òíÐ~ ›£fG¼Ø¬Æõ&M­6€?LÈbÂbVph¿¼}yOÌ4—lh]ël]™r»Æp/i#[×ÅiÒnÛU¥?ÒmÒ2rmQú¹AV–‚UF—Šïp5ËÖæLâz¬ë2ŸÍŸÞɺ>ûG)ÂHuµ ýâÉ}kÒa>:^ÃSŒnœöQÃû‡§1ÃÅð4ùÜÍâ™y~³Ãï‹åØE»…ŠôŸ¥x’htìå²í…9…±|XþJåÖçc„êëo_uÅ«½­(Ò̳ªÁú:b> xÅ<ÿõbs·Yù›_y¸ª/P° ÷<£@íÑCíª•ãfAç)í#ÛÂ÷tØŠŽæìsQpKú’%ѹ)„îCa#ˇ¯ƒ’}×ÏÇÙ!‡>rfm0H™ãiÈÙ3I#Î Öj¬_ùé,Za†åë¾Ì\s<ÌÅX_>Toú=©eèç 9´Kµj0À‘Â4ú·óJ0 ªEGF®yø ÅrHpqµÓáÑÉó/oFôl-:Y-ñ2ÜÖS~ƒu¤‡cì-ÐÒlm.ùr–nH$Mǃë–“ 3yIk¤p¤zs[j¥”Ï^üŸ> Ê.4º}»î.èÉ•¢J=^z§Ö(…‰&á_ðŠYÊ<¹©áò †Äå²Ç7,z§™'„<Á7 )!´I9·Üø»×bŒØ®¹zÀªÍl⣠S”ÈSĤÀ%S´"[FdwäøOGÌÇ+9Z½˜zM£ÁÞYìŒÔd5UzA\@Yì¨ÚÍÄã¸n G y›œ¡“„ÀÖm3çË~†õÚD¢Šx f5©3~›„€6Ù›`bïÿ˪óvç•‘ †cÃr·Áú’åQN†QÇD£ŸGOyu,Ô£Еvjæy‡PO­#Ú#ÿŠñVí5IϧóªC¨†ùñˆ¥+†óÿ®æ1Ñ’(L°õ#â9„]0 ‚“®XãdZøëÁÌ3±G´ŽÎ­ù7ptªz\Jä P[_÷aTZvÂŽÛ‰Ïê~LÌK°Õ† U¨@ïóè,ÃJkîÞ<­ŒSJ©;ÅO˜nÆ’BÌA·ºön¥Ê¯Já^Í‘ÔG}~³x$Pì{=½Cè†>|kÿ{›{ZŸÌ ç Öp‘®âãÞ}9ox³úÑx’ƒ¾t-nÀë 4ž1àó.8Çñ¡Fr‚*xüä9î¢+Ìñrá d…2À–¸mnÙoõ,*©â Öú{€ÓIv³Q:“HUhº¨›€^êx–]³ò:L‚9WËa±’¬/Š¥¤Îço3¼{ªßÈ ®×sŒÙÓ¿xÕAƒÎP—nqv½Ëó©¿è ^–,æ·«eþªË71™Ì#Ë>i>µõnòL)ůzµ’®q«²&´5"Â…‡å“r’.°È—SÒFã?øäÜ¿öà±aå¸àÄ~‡çG’wçÐ,N2KçÅ"u”ÎD$±QCD,ÌYé9Ô°¿Úð¶—6Ø4l¯Ãv]°‚êv•v1»SÊ¿û |DŸà> á­–vo¤ÞS—²‹®¦TqžÓ§2èи¦ãvä.—»2¼•JJ D ¹ïåÝÓ#TP¦ôØ™À~ßædÆ˾ŒÍOÞ÷Õ]´-çÛ{µà‡-“õ{m¹ày9²å¨Fƒ9¿ ¥I|O'|¶Ë9EÚ%R·@‰×5ÙJ'–Ë´Žc„VsIlì0ˆê]à¡ö7Ý+‘þ2Ü׺[ŸÉ(1¸÷—f¾ nŸ¹ø(Ÿ©}ζ°gøvœ}³S ¡´)³Ö¤XaL/Ë)9ÉÆg¢%«€q§.¶ÉäÞmz±’Â;¢·2,¸™4VÙK5œØú3î”|¼GyæÚ?^'mÁ ‡?#FGúk/´³ÿ^˜¾•yöíy˸ØÛ’‡scpA&¸Z¢1“JÑ<ªŒšLk¹F¤ýC"F–CÌ#œw_BËWž5×»¹ãV”+Ë\ì±P“oÅ2ÉEšãRÍ_*?ÁÚp5MnÏ›¾ã`™,ã(¦G;ä9ÿŠº/¢b…¦âelixvî¬ ÙïçS+1G9óâÅÔñ„ÎNZ‹¦~énMÓ`¼6ø9d+(Ès/C¡å“æçöY,¦]$n³ìø 4ÎØbU…¨% ¯k:‡ývo3ë;áè¯Õ¶ìe)Hh¥ùææSaù›}ØâÚPy:2ö;<Ò<5ö¹XMÛU•|“Ö’êW¯¨^?Ú¿ËÔ Ý¶oøt¯3ÉûÛGÜŠ×ìJx´ÓJ'© ¨ìûÒ24ü’å«ÙÙ&óÌß…5²Ñ…Ľ•ŠÕ÷ÙQጪ/=‘E1/ß6\£ŒZ·‰0Ÿ —Ðpi§ó?$FcqR­XRÙâ& +Øšëðá·Ú±‰ó^ ‘5°cXܾ¾{»ØÕ†qÚF8 gpš!Ñý™õ–j”a.°$굺ê¶>ÃYCøÙ2·–d¥…T›ÆÁõ4Å#[¶pà´ò^s¿pâöfêç8<ªígRØ_:lH\û“"ˆ÷DZrkÑŸ¿Z:Ê,…P!†[YòÚ±(ã!ij£úx£Ñ6ÕÙäÌ&.Ûeïí¹“BúÌw³èL~NcÒÃFÝ̾Íá[RíùMöiK§xõÍ…¹3È>zNγÆÕ_“9¿Bðg9K dÊnª¸>>[}W)y؆þn´ô$Ò÷Ð"Úàøû‹°çÆZ=Zü:,-13B†ºÌ,Ôî©Gp@oä 9ŒýU.BXEÉÈ4ÞÜ—°ëE7xjç)Û|RV®Uõ’RÜoJÔ‘…ƒr7‚N‹Ðèêœß]«–, :zï~3P͸™qW"r]2¼?Õ@àù¢µk*rîo1Ír§šöÜ,Îg“É"Úl ¨[¢èŒ)ädd°“•| vRj°?¾žä÷ UE"“^dY 9GhþŒÞ]—²íÌ*w…‘)Í´vÜÍàÁ±†Áª~ÜþžÒ;wÃö ਱UÚ™pP-:Qk>Dz¬ê+³--BH¾AŒWRüpûZ½r¿Ð‡pEÒK»ç÷²`YM $ôƒûS6³zw×õÚÌÞ¹j"&­òÊÐ(n± šEþáY=Å8¤M3Œ³ùÙ@”ËÖígÓ½ašÖqô¼ÂÓ2‚§rzVÖ‘JkŸB½¾UáN­Æ |¬þáÂknh®ÕpqI àÚ‚Üb&÷:†ÀÊ(¢Ú2…‹ï1§zhÂm[÷*¦õkyž†£ýrx*;^ø„…Œ]P!?¦É*ìå äŒK‹âŽ.~…>¼õÍ0Â…@|`ÎsíF_¢a3ƒcoŸ)9ŽL7"qYipKp£ˬƒªR£8üªTÛZ·ò3¨®3ð‚9î»×•{¹Ú (?幟.+›þª™3ë´ŽúŽ™~ÚïFÊÜ ç›®.|µ‚˜Jó„>:­ÜÕ‘¶_ Æ“qÂ5ñÓWêùï¯ I3¡ÔuÇC$ÇMìü†ô™Èìi{ ‡ U1ë´:­\':¼>¯ºÐ1¿ÜÞ¨ £`Á÷áa5ž|ÞÑqɼ4T‡Úyà2Ç;Ë„”c„á§]èîmÁ5'ßLú X®ÿÖÚ«ñb,+I~%$6Wã TC$~NJ©ž„ñôsZ{v-êo?šÂ-Äy3ýJ'77œlDÛth8V9ÅQ¼äSN”m€dR.â" Þ ð†_9fz™Ï” ‚±ÈA¦k[æQÑ Á¸!D#˜|±LÄ*>ÅüÒvþ< ¤Çj}Ðå„/„„âJ‰êik üU溆ïbNùãBñ’c‹·Á,ž‚*«fÂÛœßù’¦Ë»3I^ΑüÞwK ?SPDó¾q_O5Zu30+O”§ð6¥*õš¿ßÜ:J}ò @|gJ#ÔgÎ:çy"䟡1é¿›e$M|££ÇOõ3¯ç܉ÇGRȘ[ò}…}šjæÖù^hC\³¬õ(†PþÏ{U î ÊŽ7ðQ‡,E 7jžý7q/ÜU"üW™Ì–å§è×°aÓSßT•SÖâ³4¶üê÷ÚÜ;|™Â¢ï@^Kä–¸]^Û”º¬;æëV3ñ9 ꛊ: »ÁïG¹"–Þ|Z„nhÔ7¹Ûì_…œÈa·§â¶›)xvž.$0b{àΛx5²yplí“Ž¦‚ᵦÂóßòÿ¸WwȶªãnɻΕËÂ$í’+”ê߇ùÌj2aÄ È|üNoÐIÊ s`ÙÃü¡b³õòä~@Gq5‘öJáôÿr'jg‰¶ïG¿Ÿù†¬™Î>‘8ŽDÍ:«vý…óŒÖ £~ÓS6Âpû³fòå°wæ¾GN¨Nç§Ï³Ißå&UÅKˆ·ý5¢¶mÝæ¾+K¹dà |+˜c8ÀjÃ-Aý5j¸l‡›RR‘i)Ö€þK®8éPøàÌýÁßUÏï,@(sÐ(Þ!…%„Hósƒós VW’ˆËžâþÖ¸<› š°ùºI¨µÈk^Fšm¿­,wü Êïð…)¸1€ØÉ^Ó~°žüÌv*oH=N$Ü©×]±îjUª¯ô¥‹Xò¢Óîé¦\,ÊŸâç!ãámˆî5³.åE>^Ùø²çLÂí¹(Ï^‹åWÉ* nå¯:×s¦\NNì‘{Ù£v'Î"ùÐù²”j•M*¦ÄÇì™UDÕ߶Ѽ¶R:F‹XqUàåÕÐ:5‘‹Í‰i‹LHÄ\)Î>&4xƒWT¢ ˆf¼ ?t…YÇhÚá’­áEuíÅ£~ujëMŸ?/æ^ÔÖ v›¨°Å½Šýd4¤§Ç‘Ú-¡i%2çáæ3»¦+ò6}î«\=88ðÒ9½/<ü®½/\…ÀÓq7{¨¦¯nA¤&ÕGrŽ+O|&³ÿ<fŒÛÕYŸæËoùOh Ï‘o®ñ^yµÁD‹ÓÃ÷Œ]ÌYâåü¶bk°Q›ÅnŸj—76Ä̺×Â_P%OìÎ"4ø©gÖ+™"NM»ßSd{ï=×…:_>±Ë£¼oÀÔn¤|UuqüÜN)‚¨÷Ž¹®ƒXÁÇÒ÷§YÁ^Úò™æ´&†âª:U{ê×ãw 熣¾ØÞ+ù½_‡s;ñFkÊ߸Ÿd r3‰ÝìBQ?{J`Cç‚eTžÒT> ô*ÑX S °OIPB°%áfš F?üh[šèfOfæöÂ<èé+•§‡ÐÂ…ŠjFfúüËÊj–O÷H žùÒ2 YõˆÖ…¤÷,Pl¨5QcŒ$wóHF{%Â`#0¯eRjD-á‰U‹®é|ŽÔ-vY²,§7Jø¡ü:ðK:/}8ëThó¼Xã§ÔðI¬ËnÕSd/¼»¾ÉÈ‚ÆòÂ}.Y•¿¨x°Ó‹¢ÊÜ펒:¹Â‹$nֺ׎,?pPúEµ-Ã-߯Á”Õßaé@+ã®Ã…6N7jmâ\nŒVå¿;|ú$ŠÇ2×wÂ-©b”J€„: }B 讚΃w¼†Ô£àI|E/ŽÐžêú¹V‹±;YôƒDí—»Ó“ñ§W…b‘}ùw„÷Vv­xñª—p_À?M¬Î‰ºç? @3'RÎÛÀ ØËä,±íJ^·ÍèF†{ °ÅÉ ~%Ú ŠFÆ°m¡¬åíiûèêðJl‹IÈM–0´BÅ瘝»;~W/µ©œ‚ûŠ°T¢ÁEP‚Lý0”áø–[£‚è˜n íáÑÛ:?Âôû·¤ÖÇîR¤.˜zýU>I>óH‡a[înƒöBE ðÞ-+¦Ú.P?ÉJéíÝ„c2‡å8N¸.ElPT5ëÛÎr÷ß3Á :)écË-Nú¾“HßC¨ rqF·¯gΧ윱—ŒHNáü`˜Âû:…0Éáï[T‰‚ÔýPÁšš)ñPÓ–Ùm¼•7{JQT­„˜n9Ž+v ®ÑÑñub6t›wò#·àÌ¥X$ÚxJè|`rz¾ÙewÆó.£ÈQYà×%—'ÿŠrKô×}¡Ùѵ#€~ïªzD[l¡½ø §ö>3 áraô,t³Š ÿòäøè àë[ßÃ@¸SŒèœBê±ù3vY ÑXBªõ·‘ŸŸ}bÎú­‡ÙvHžÈ’3*º6(³Ž„M”6£6Å3dëóoáñ˜§œC Ï7Ý–ývxJP:ÞÛ¹ô>.è ´Ö«‘a7yõ=Å·ú=‰[[ S®®1§«ü±™¾·¿G ˆù,—oPÄɬdUB’ŠÂœ [šØ0µs.•¡}½_HqµááL»ÍÿˆZºH_œÔp|úP\sÊ1½QS‚•‚8|µl•œµ2ÙÊÖ óÔ-°š 4¦ .Æ‹Å+†jPB‰z„:qõšb¹ÖñB‘ŽÁ’tHí B|ôÄÃcWxÄúªÙ`BãÝáËÌ`údú…åº5-×qØ]Íݶúra5@»º Ì9hBNYë±%ÒnºÊ&ÙÔ—#ïõ @ÄOnY°]g€ò 1IqÌÙVnà‹4Í/¹éô®HQÖéE¼xöNŠùÃåó•Íì›,¥ÊÉH‘Öd`2· ¡)‚wMæ)r—î­þYFôYì˜á8l(r æ"îØÂ/ˆï"„ˆpt“Ÿ^¼!šÿ÷gï>™ dïH™jº8Ïp3}“»:±;\Vªmzy•S¼/+UÚ(í§EÅ°­x˜/åÖÞÈËœp %Ë«•©^½Ê?e•1x‚-¯à\Äú@%ƒ{^O­Wøt•Ô)qé†8þï]àn·î8ì¦#\S‹”yôõâtWÉ7ŸƒÚØ鯳ڳcÑ2t@¦*¢UC¡Ñ^Ï>2‹iÔ¤)kö°uÛM-WsÇÇx4¢Ê2|GZ·¨Üõ0KK…w0¬„7Á Ùìó ª´?ŠÓ>ÇΈâ!aõW|o×ï”csfä»Lñ86«J´J5¥§œÅ3°O9¶L"§Nõí ªKLD?¬Ó±ŠOÃ3žžJiíÒFî>÷ÎÿF•É!Çå.«qéÞ´Ã玩¾1auSB¦¢^b¿èmš̯TåK"£7õ"dl«ÞúDݬQV†¿ñÒ8v›¿*õ¹ÝG\Qº ¢0œ‹?‘µ¡TùšAI3lõxÀ ÄšÛãæ2Z0b2­ ƈ±:Ô+ÛDð\µ®X‡…r¡Äaê€Ã¡¯¡R¯G¶ü ¸«xAŒ£¯ÓˆQËAyóHÖôçI±äØý©¢·žª}¯Ú±ð^™!C;}¸\2Môî­ò§6”HF¥Æ>‚SÕA«I2ݹþfiD¹ÅÊL›¯oöå–xø¼dùtm*ô·Š¿ì/íNÀ$¨•KÚ®+e×~+À,Ágw87öÿd4¨³–DCEÆ;°›ÄH(õåÉËäQ–{è+Í•w* Ñ  ê+Ý3!±!Uî×ÏIOÇ}º£GãJHT?Ķòå\W!ú¶%;]ÍîvbÄÍ+7¯ÉáTlѪ5ô,Ê+U¹Ó't¿—wÆÄÑŽFÅŠØlDÕ3á4-”›H#vÆF`rÔÐqqÈpYÁëȸIý¥¢¶žW0×t˜³ÇÆ°âß@Æä×õ1dµ*Ÿ‰kZxLž€EbÇùBËœà³ÙÄ)t¡:õw7ão5×ÞïP=#ÿ¸g#5´ÆJ-Ï_O~A5­Zx*Š$@OàsiÎ’#î*R¯ºÔüô(AƒJ?ÑbN÷E=kyö÷[”Ogö<’„ßå [¬|(Sl©)jôæ¢*ƒ'Û¦N7zûÞû7ÆE¶oæ¶øäç>¯r÷±îz¤e³tÜç„kÞ Ñ]ÑbüÔk˜kY½ãÆüH5!öV!qÅV®ìJ¼i¼L€ÃR{6(…äòåŠÖ~’¾Û¤ùf1ô‰*¯J(/@.ûªÐÕÞ쇲± o ÓdÿP ÑcÙ0¹EX<ØO’àcukù-Úù™gáå6Õ‰’|–÷’”Ôûh9µ‹Û\ésžÍöZ-¦;©J›_¹“žTÙ䲸wÙ]E‚óvè~ø ¤vîÍáP·hšBn´ö®}"æLÒgÁ‰ºÒÀëßsk.!+}5tÍZ_I;QµXû‡ŠR£“û:R2äóq”·çç¬?!9,à¼/÷“=ô¨êã‘ uR?*Ì©ùenj#ç ðÒò͈ÕÀa:º¼<îÑå)õloM{5/¾x®ŒÛDd)*°ýr4ùN¥[ÞéMÞ®±°Y~öË Ó(÷)ôOÑþþ`ÝjBúØ›ÎeH!³^&Þ?¿ÉýŽmä--”— $Ö‘o/zæÛ˜&Q»"‘{pWñ‡}ÄsTæÄ”QØ:Þ:z‡a¸…HwË°•`? H¢ù^‡\Kì`M’sÒÚT;À–V;ÅP„$ÐsW±l5veÝÓ‰¾Î9ù%dqÕÞk B·þ$5½ÓQIŒ@²¾2hüT+ÛÎl&Š!e/JÁÌR›Ãà®{Oþë$þÝ:Mê5Û[¤*›%:¦B݉¯dì$­¯/ÐvV2zw¿±¾f‘ª ·Ý°`Z%(;“wºN§Ýëþâs‡¦!sVÆŒ¨/Gk1ïBÐ}*þT0NøšS_w¨Õo2ΡÃlĘs~¬Qî$' kM±XæM Ù/±D<:íŸË¶Å{W¨Ÿ{t6/9ÈíZ{9¾ÿ?L¤•ü endstream endobj 162 0 obj << /Type /FontDescriptor /FontName /IZHHLM+CMBX12 /Flags 4 /FontBBox [-53 -251 1139 750] /Ascent 694 /CapHeight 686 /Descent -194 /ItalicAngle 0 /StemV 109 /XHeight 444 /CharSet (/B/C/F/H/I/M/N/P/S/T/a/b/c/d/e/eight/f/five/four/g/h/hyphen/i/j/k/l/m/n/nine/o/one/p/q/r/s/seven/six/t/three/two/u/w/y) /FontFile 161 0 R >> endobj 163 0 obj << /Length1 1530 /Length2 7700 /Length3 0 /Length 8705 /Filter /FlateDecode >> stream xÚwuTÔß- ¢H— Œ„äÐ *-Ý - 00ÌÀÌÐ ]’’Ò’’"ÝJwwR ’ýöï½?Þšµf>çœ}Îýì{÷¾k ó# m ”%Ü,‡¡€¼\3³ÿSÁgÖ#8Lì_„ºÍÉ‚P·PU8  äðòx…Äx…Åxx|<<¢á1€,Èb På(Áa`$>³ ÜÁ ±¶AÝ®ô×#€Õ‚ À+**Ìù» eF@,@0€*e¶¿]ÑhÃ- `”ÛF°JØ PbÜÜ...\ {$aý”àAÙ´ÀH0Âl øE ²ÿMŽ Ÿ cAþQÒ†[¡\@0à6…X€aÈÛ&'˜%¸] ­¨PwÃþ«üàü¹=^.Þ¿ÇýÙýkö»da·wÁÜ 0k€ ¨Ë«p¡\QœÌòEÂoûAÎ d~ øýò €¼”&tËñO†H Ä…äBB ¿Xrÿs»Ñr0K¸½=†Bâÿz?Ylq»ónܱ îóø'¶‚À,­~Q±tràÖ…AÀŠ²¢nSøÿä¬Á(€ °0/ì»ZØpÿZDÇÍü»ø;}ËÃËÃî°º¥ö‚Xoð= g0…p{yü»ðߟ—` ±@ÌÁÖþ?ÓoÓ`«?â[ ®#ž[òx~}þ~2¹Õ™%uûþû ¹õeTue”9þ&ýwYZî ðò‰€|‚<^>a€° Àë¿“þÞƒ¿øÿÎj€ ¾ß¿&*¬àÑ?hÜîß_TœÿÔëŸöaüw5ø­®ÁÖl`Ì#ÈcqûÅûÿm†ß-ÿ/üšòÿaƒÿ}'y'(ô7‚õ/Èÿ…ÙC nbn•í„ºu‰*üÖ+°ÿ…¾ÿani8ÔòkŠ(ЭW¤`Ö·zò pñü‘‡ å!®`K ÊÂæ=ýu·+@!0° ùuÝvñðüOíÖ‚v·· òöÐ~—À·ûïºr0 ¸å/+ò @È ÿV·‘ Àƒ÷Ö³–`×ß2psÁà¨ÛÀ-C/€ÿëhExÜ¿R¿#Qa7èŸHÀmñwÄ{+Pnð¿B·Í¿Â[°ý?á­@¹aÿ oÁˆ…BnÔïð?d,œˆ[ßÿÖÝ-Ó¿âß— ì ¶ÀŸž€[ˆØV4œ•IѸ×?ó t½>Á{±&Gí¼©é'#ñó˜?;lJªel#ìçÉ._þMµ>é¢gR˜Åte¶•ù*§çÉ“ó]¤Š߆rs³¡?ÌÒšâ[Vˉä(%§ãáúxêös‰Ç5%§Å6ßpYª¾rÝÃø†K%"Â# Q*µ±Dº\jt¬I‘ y$ùy/ö¡üöϤÎ~>Á•®™BNtÈrÍ΃òIêÎÓ·[mB”͆£ÌkmrTѬ~' ¾¬æÈøbå­ä©‹n7Š£©$¥çŸ²¼^¡DÕÍIyÕ6ÅŠUpyª•-Šä{õŽ&—å´ÈO%•CÛç±8Ì—CÞê# Ñk 4 z(:ák_óök!ÝL6>²·BMXOw–€áS§Ú½W}å«rÑmî[§ƒ…+Óv¹žy…ÇTLþ¥6úî~¡+»ý óßù÷?_z¼kô µ ajEä’`%e8hp­1WÑšlÔGÏrTr`IRÄ›pTm‰KF[+àÓS¸ 몽Q˜¾”ŸÈT kIAW: ÙùVBÐÉE?å}ÏmáêéÎwÃ`Ÿ@ ö؆X²¨J³éÓôWã7T  }å äÁÏuiíÒMÒ-Ï¥©»4øõJƒcfSJIÎu}£Oszìãl×ñq|¿†‘N„¿÷™PÝ!€,nñ32|òtíA¯ß ókf­¼jk‹…"ã˜îeZn›› ·•Ó ]`n|£”‘Ÿ#8  A½B’¨YðX -ù´ÃG³Ç“SýŠ‡ÀFÌ œ»/¦ÃÌ ÷0Ñ!óÄCGC6,þ”Ù•o¾›ú¢x>}ª«»Ì˜Gi‰“³‡dj؇ªcÙftõëq…{„%Év‰ž`{²SÚ õ§o’“wR?ŠGìbÄúr{}€S=W˜h”TÍökÄ©RïgGµ[e]0[Ø‚SÚÝ¥‡Ý„ï—²ïñlær(×Þ3°WNŠ;žO΋× ÕÁ˜©rö(ôòÀÊ/ç¾Þu‘âŽÎŽ§P*ÅOÛéy:‡¦×Åš‹£VÇ$?!¢e²Îšúq®P8"ñ"í @Ȥ¹)ÞC)¿3xÈ:¼PÉ$a>§5©¨q[ òI™ÎŸ$S*ðåÚS– ï¿Ó¶EìNæ§Ù“£•—r`Ô½L¿š¢;Š™Ë©;À¨Xû$ !:KXDÜÞ3­†Ø¿ø¦{Y!þ1ܦ-àÙnýv2õN¹‘9õAVkÏb—xþ^ôaMsÂGê÷N.ã“7ú„~ÍfLò¤nk£qnÜÜ÷䦛øOcÖ7KŽ®kîÓ{øGŧYÔ}ò×ñ>ESrÞN;\;Xòó×"&YV²ŠUæ’&‹¦^—P¡{Ë£mÝ3<)m®z‰×l4Ž£‡–Ò¾Hì­šw*þžH_X¿÷úûf?Ù|¢úO.K.Fÿ™<„Î*Üל¬°]myb9 1!î}kh&þ”ò) “ÞTƒ|b §\uÔÈ0s/Ü,ÈêÜ¡‹eâCÊÛóÀ ‹Å•‚@çúý/L’eWû¸R’&à±iÈ5MvuM6>l\Òz1Ä×É”EažÕõt–‚|Spí1§Ò%è=šÖuÉØÖF›«Ä“}v¯;©AîL®¹ý¦½ºì߈>¾³BFÀWÑ–J¨F ÍŸ Œ½Ð¬W Îa’fePÇbû¼d%àÆø+w‘@Ó(+Âé¾Géž-Å‘NÀ s§Á`:Š”šEÇŸæ)ê59»Ú¹á0,I^"zÍžL±C­ +œ?uÓ5èÑ=nÍàJ#«±º×7¯hYÊ8òõ¥±Ú{e¼U ô ‰KJðzl›wË^®+?b••wÈ_¸’ûQ ð­É´ Nu4ÅâsâÅqŸ×øŸ“ëa¥ÅIý¸£{ÝkӪ̮;0ŸðåØÍûqõ• ‰¾å†úÊÌX—±›¾d‰dƒ&é p€ôÂ!Ærák~0‹Q­žLè»Åý”éýäö ±Ó\D݉’:Ø”=mÛYQñÏøRôŸèýÒWÏ‘þ$1š:à·fw¦ÂÌ1qRN3éÊàñùâ´­–z™Ô¹÷:R]0‚_ÃQ[OõtW¹AÖ4?Íá¹oh­7:„Îö¼0à1ëe#äH[´á79Tzx~­íx¼œÏÆñ*ê•cK{ð;zê»dÏ›q’ÉQ Þ-ÈÙ\jÌoÝ# åÙ¶RÔ$ÕËǯ úXaî• „÷XöI¯2;£fx; ѽú¾?=¤“FÅkR9“#åõze5åÖ+/3O²PÏ:ešËßæ‹`œpâÏáî)KÏî³x·ãÆ׿ßá’µN^µÖSlìaX"Ã`«Æ¶œ°iŠC;Û?Ÿøú¨¡[uêQA6ËÙÀÎFz X²ZSh„Ñ ò¦×iŠ&TÑPgCŒ”û(óÊc¶“i`^«²ØûP–U¥jl¸ðøâ_LLG›<“P?wNX8¦Ì¦J?fÁgš•Á? àŠ;å®Ô¼ b,÷Gç˜a51Ñ{…dÂÊíý‡]"FFYysmæUëöÎÁDÉ|…÷ ¹ÃFœhŽx²4QÃùa¯5q”P¸Õµ{£iÿ3^Xü¸¢7~‚ÄÙy±A½¬RïÎÌÙ~M%¯¹òzɈñ.ØÑËÏõkQëýék»i_IvÑÈáV#iHùDÉ!P"4:Í›ÏSD +Ä—¿ ssÒ0¨IÔ¾!;0¦ø² ËËNX~Že78-pH£¢°çF(=£J–¯Ó½¬š2£˜Ð±Þc9+ß.zÕ;P:þ¼É—éK—2ŽcàLkjc÷Þ=È‚2‡HzÉ"Ózƒ|j‡ù.yJ³^}ãZ5*o+ЭæšcW´óÂØ=61ÏÚû ¦¸uѽp¦¬­jM–¶/{‰ÌWøgOŒ~ðå?Õ„"xm{•¤ž­‰ÂRùg{6žäF̳ÓktùÆŠ­B¢iSfã yºcPõòƒ=ùç…ä»9€zÎÔ´Ä"œ½4Ö·„sÏrèöµ꾸pg(•ÔÂ’‹˜wXgíñ¨äd(q¦ÝØvF}v?‡Îœ°VG¼ÊGfu»eàÐÀ‹dœÇÕÂTAùS³£5å“žät?8¢“ßAÏ#UV{#V zSfûP×׎všZ©Ø¬ðÝÞA2T:1\¨¦ýÜAi8ï„­W™eu¡(ƒOìCŽï‚Æ=l®.«§Qc¯û¾»îç´_²\0>õ:x’Ëa¥ ½mÝRɳCUã²ÝŒ¹Ù ¿Ý(é®æ[m53]¼£BÝ4b4^¸,"øU]=ü &‡¼•ÿT¼@µëkÍwï ÐêËS•¶0¬F(Ç)E.í‘… ðÓQ}®±q30µQeÐçÆ"±Ìäì¢qt78[GÓåÆ¡,<§g1!Ü#™MÖ#n¥”J7À½Ï°°kîþb]¸3¥ºC€ËyGåMm(– ÿÐUÌÖxÇT ÍSûÄÒ,j*Ž¿v3Kƒ¨šœ;²·:R/Tö%§6S”~î³ g‘¤–ånpÌ÷ƒQ©lÐÁÞ~-MÌ\‡>&#›ùO9¾ îÙhµf›YgbÐôÖóù¬h¾Ž›pYKpÅ -'Ôe±a©Iäké2\›o|Á«åŒ+kÅ&ZˆŽÕuiX¿jo~dÖ½gÙ©;ÚÜ£´Õ°o÷i–»Ÿ"Dûæ=ž~ÜGÖîŠf½½;']¯m03ÃK-£x20»ÛÈf½,OÜ @*’5]|>C ´ZGz—¼”Ú÷Ê1ÿñòùºs²i¨9‰d§—­:ÓòÙÁŠŒ·”[obÇ%j•î?ùÚ—ßkÀ„V̦EæI6Œfçú˜ãsmWá®Ü‘sB1ß®0qpã­™i¾6…/–?幺ѨÑTqóE ¿GkV<Ì–Æ¥bÙo¼›q=üŠ+ÄPÊ“¥Î³¶~Á#t3Õ¦Óu‹¸e&ñé¡œRJ¸‹ ɱaè¨Æv+(Âôsà_®ÕöÒ[¤ŠL­nKñ4(äš}ņñûF±Î<ògãLŒ7«ŠŠ«Q·âС»®´Ú$¤Uçò¼¥Nâ§we›ž’“ÔeÎ7À+²j+RL`Îö„D3½§ É\«ŸõÞ’ûdäØ®dúqÚ÷ù g ¨³˜Å<ñø›Ì*üÈ{­Å6…+ü[z't"©5©¥måqí…à—­øºõû+ éíUyÕÉê ‡D‡2)õqÌ;¬/B9“ÝØ <”¬¨G袢õ¡aÅ'lbžünM‘úqò¤Ížwt#à[”ÕI~Ïó0β¸§ð`WfæwI@qú.mÚ¢´:˼ùyÇI¢1³”}䥞x¾ÑÖØ›iŒèϗЦÏ>òìRᯒs§¹ì¥p½.«ítb¢òö~ôK\ß¿Ö`èfx?>ú€§µ.}»ûÞžÒ}÷ .çŠ8ZÑí ®„\ÅÂ:WB‡…°VˆìÏIwuë.&׊߷Í”À¬„=‹áÇà)gÁ,´Õñq9[æ¸ÿÝ Õ ~€xOÞöŒ5`øœDç]HXOPû±§.¿»öK‹QþYp0¨œÔ–ws7lÑ!2£®Ýê_OßUòèTj%I\éiÞ.óå)ÿö-ä.þG†  ,iývQ²Ï ü3­ÒUÚ²Úrc¹#N®àöQ*½§8ÛJd¥wû^eº3ê¾Ç¬¦íÅ4]^¬©p XzrƒUwq6î(x£lÔe+¸\"£/¾³Ã…I\W÷iðe²×a½}Iºµ SwÈ›+¹X݉±²lµÇïËÖã«‘%õ° Dø}3:aÓ.ÞÄQË£¤ªîš£mø¹ˆÝ ›÷s§ñ8Îôž ¶Mö2v+¬OÓeûü<ú@cåBŽÐ`ÇÁ6PhóT›®Y¯ì+· ‘YN x çÐå‘ѸH«¡üTç±ÑÜö¹4þ°Lc—NÑt0ÆJ™äú=/37šµ›×´4è›rÇn¸Ê¹ Ÿ›<ÙäfFÚæ¨?="6ç”Ó©?¾ËéMŒ!Íêq§yçÎ_:ŸÅJÞtw*/>÷—Üj)(ܾ‘;¨˜¸\8do;+çT”»tãS3áÕ;ôK^Å®=”¼XrÅßÞlå$ Bìh°ÆQiç6 0æñdE,Î%ˆ?ÑxÉ|åó•Â›­£Ý›Æ¦ –)©ÉH7yŸÏO¾Søv9ÄÁñ'!ó§×š+Ö–µ#9G Ù„wöa¾;^ljO^|×b“'vÕ?Ë¿¡3c=ç0Rk«<:Tû~V‹·M!öÚ\KæåtÁP™äòóÅwÜrN½É p¿.)v\i‚]»™hºÔ|BºÚٙΜj~u""ê&ú«÷A&_¬žR ‚•¦sëÂ’ òÏb×T‚[ŠÖ —· 3“I"pXÔfÄæ«¢>Ç Š¤–fÛ3 ]‚$]88Xú2‹‡º5ßïE”Q6â4åúQëe6L"°ŸF!g9vsRãñ uí]åYþ?˜Ës˜Wäà¨ñŠX@ƒ÷4»ÊŠ`9|#øz>uïç&þìûžY4gÜœ‹uýögã£Â‚—ÂáÌ? XS6½M?¢7Ÿ{ê)N½JõرV»Wþ¡ªÀ¹•¤[+9[;>*ïÓ䦄6Á›Õ}»/>ÕÐN%zÔIéÔäèû7qR¤}{LhõŽ«ÃFÔo Ï}èhÃK®;wÆU§h·Ù1žùèÜ%ðs{tJ:¶DI¾”ÿì†RfЋ˜´Æ>§-´ñj´iSã„È kžõ gUËËá;#ÒþXç‚“}-¯òêzäïî<ãýÐJÔ#}~Úb’½óø;}GýNjrI2å‘/_öþJýGö{ݶè¨îgŒ/9æaÙ‚SIÇÝÌèìò­Êº {€E—îfAƒÚnG£™–§=ËÐ*6´¯mhZ‡ó(J6Àå‘@è™f-ÔÒ€»Òˆ³E–¦ZÍR)b»Ýú`=ˆõtRÔ„w󃞑¼†—©dƒACIJÁ  ŸTé$_jGöðÆÄ6åîO{JáUÛÃDd•mLµæYw¸ÔYŠ$%ßër¼ ¯êšÉôÊhkFšD²'QÆnFƒÙ‹Ýw®«ñêW%ÙI,ß.¢çWn¾|=.#2ù!9ÈÊí‘¡ª‘x~<Áë\w¨öYÁÐ?›­<;ÙÞÐÂ5³€ÑZ¶Âî ºñÒ–ïrœ‘C1YÜ è7"ßtÚçnÒ÷Âïî2’;n÷W=«Ø“n#ígô r÷Ð9¡Ñ‘|ü©á§öâOÜ©í ~U·ÿÈàÁ¾w>–ƒäå—<e Ñ÷• û¯.Hëz¹ÆýÈÊA¬l~ŠµÒí®wÇ“âLPlIxZø: ®ò…ÓJs¥LhY…†ë­]HíƒÎÕ4"¨Î·Iƒ¸é¯è†%_ñû^ã,‰6°Ž³4"|àq.Âÿ‚]æèêj¸’RYnÄÈÛ…Ôi*`ú3¹£ÚÙž¯,ÏÎ LFÓƒÁ >Ç(p2†ËšZƒ²¡òY¦+ÛJ4Þâ‰kG?(­JçjJgâàÆÈU!­i%³]’êrv7[žÒ^øî®=t°©/ô=Gy”vÎqa= í£ï:{ôÕ×T|^¶©.´Ô_Û6£ŠTpfÓòù’•–ÃÐ×Ûú-uä7Ž–ÂÙõñq Mã® 4“Õ®ÙIØï?dxe®1uùÊ€y8ì]_DAÍ®ú²Îœ°‚vÈéKÍ:A¬6&VÍäœx/Ù]ŠaßÂ\ ñîùx Ê~ÓÔ¾ÒŠÍ Õ֊é®_ 6%¤Ø•[[rã毓d,‚“<|ÅìKBk[l„!ž«M›÷!;2&mU>­ùÑYRI%È2ÇØÜuñÀ{á^‰ÌÇóšŒÎ]‘%s]½ó1‚IÅŸ¶g ?ËÒxÁk÷8ôùYû>âæq—½¨ØGÃËn*$Á@=¥ã[)tw§ ɵÁ*ÙSßtÚ^¿ñùHå]¤}µ>²„äòâ$䢑0›‘åŒqÂèñBæq*1³’wñí¡%ÕíÕ“9X Í#Ÿ,§|hiX¶Ðå­FGÐ3ë«<|~*É„õ͵ÑÈçç$H‡W8c(<´·>¤6éM×ršK0göŒ½hs›#ön+,LDm—_ÊÉ“ìê|6½÷N=€?#Ùµ›ªÏï,ÍÚDŽÁ¸·0,òã6͆®†³è]Ò½—vN?üî&ö÷+OÅ4›†H±í&ŠŒ nÞNTÌi Rò#rŒÝf׋¸¶ÊâP¥ßåèIÎ ¼“«  €Gÿ°¬òÊÜ ¨ªpÁ³X´ºÿ4<2ìUöd‹öë²/bE.Iì,Ý5NÇ_¡‚<““œkËÝ=¤]ï€É¦Ûe\ iã cãˆΟŠ=’®xþ¡ï~¨…~à‚ ïÒ/ Õë­Q¥¢Côl<›w9µ´…ó´ðk5:¿k&(ÞAJû/9ž„@„q!ÒP’H}϶I}ÿokÍtSÈðL„§.æ¸fÆGï9^JûÙIúÇâe8“ÑóKJ ™:O¾8×Ö½Ì `ôY1Áªå•éYY†:ßÅMzZY5¾Rå“Z‘d@ÊVíh˜Õ]‚ùžP6k×ԥǓʰM‹ü•œïzÛËÇn›Þ‘®ø>Ö™7Ö"Áæ+¹¬¥Jτ¨³¥ßùØ~âÃSh?¼#¬38 ?˜|]qÁÞˆã>?›Ö§¿«ÊFAþ,TÜ@Üa±sì$Õ_'pÖË€Þ·¼Xê!Û`–‰wíiOâ@£©ëJò/Ë]õõcsÜíd‘9f¦°Qi rÒÖ:º`ñç© †¶ ›EýöPhwTz d¤Ò6)5rʱE$]<:TîˆÐO•Tj<Á0ßÀ,ÓG0o=£®Ñe´Žñʉ¸Éü)Zp3Ôšþ"ÒE_ãËuµŒ6“³Wã—Ðg Õ7$ 1feè­AxK±—¯™¹³“ÉL¡mé¢<ÊËÒ‚JÜ>Qf¡e_ŸÕ>SÙ4“ÑFñ;W¸?‘Põ¥¬“›v)¦Ã¥–串¤…H(X\·Äld$½›_Á¹½–ß:¡j“ìPË=,4ɱËdÆzíʘɡT¢f?'‘×`wÌÅûâ˜,/½¥DË<×Þ™ûQ”Ó¥†ð#¿»åuåêØÔd¦!u4z37Å˼}£QEŸ4éBýöÃý“ó¶·g›zcw¨Ž)u’“+Hl„)V-KùhÓ^Ò&$?;ø<ð¼ßH*ªkž­0ׂ4eá%ø9†låÁý>Þ`-Í{p¿~ÒÉ¢\P;³uð!ÿøV³ìÇwC[@’b,22ÂÝ•ÙÁ¯6¹aÞšÑO^à>æ¦ ¶`<‹»$`t§cK¾LNç 8í&Ýd~O÷³5`œHì/uºJZ‘˜’âØñ]@•Ù%ãÑHzïÏü±döU²¥Ü-a$•Ix­Ý§•‚CݼOp;½IœžÊ*¢^RúUdŠÔHz35ZC&¾—CßsõEaçqvÁ0<}(èÁiÔ‡³¡™OÒÒ–m²Ç*p/ùë‰ø|ü²˜Öf$&–‹‡4®5!œ:œ‘oŸcêL}Aј™ªï ¬$3,ÙL?ŸqÌ=Ø"”®°p4r¹ü@O‰7erPù‰RÕ ÓŸäµ?Jœ‡z¾Lªi–äT/V9¡.›u{Ùö¸×»ú2…k‡Y"Äp]<»fý˜ˆˆJÌ£Ã,ž©Gcžˆµûl´Ž¸Þ(˜=/)e°$f,> endobj 165 0 obj << /Length1 2507 /Length2 21583 /Length3 0 /Length 23011 /Filter /FlateDecode >> stream xÚŒ÷p]oû ǶÛVcÛIc쨱† šMÛn’ƶm›Í³û{Ѿÿï›9g2“¬ëæsÝxÖ ™Š:“¨¹ƒ)PÊÁÞ•‰™• ®¨ÆÆ `eå`feeG ¢Ò°vµþ[Œ@¥tv±v°çÿË@Ühâ ’I˜¸‚ììrn¶67??++€••ï?†Îü wks€"3@ÎÁè‚@%îàèålmiå JóŸG­€‡ñw€¨ÐÙÚÌÄ hâj´e43±¨;˜Y]½þ'­ •««#? ‹‡‡³‰ ³ƒ³å;:F€‡µ«@ ètvš~(™ØÿÅŒ  aeíò/¹ºƒ…«‡‰3ØZ›í]@nöæ@g(9@]V ì´ÿ—±Â¿ ÿ® €™í¿áþíý;µý?Î&ffvŽ&ö^Öö– k[ @YJÙÕÓ•`boþÛÐÄÖÅäoânbmkb 2øçä&)QU€ ˆà¿é¹˜9[;ºº0»XÛþ¦Èò; ¨Ê’öæâvv@{W„ßç“°všÊîÅò¯Î~°wð°÷ù7°°¶7·øMÂÜÍ‘EÓÞÚÉ (+ñoáÌè àbeeåáã@O3+–ßá5¼ÿ(Ù~‹A ü| @?k è‚‹‰;àêìôóù[ñ¿ `nmæ 0ZZÛ#ü‰-þ…AÍw¶ö豂f Àúûç¿O ñ2w°·õúcþOYdte¥eÔþÅø¿:11O€'+€‰‹Àö{Èx@~ÿæ¿øù¤*&Öÿ>Ü_eí-|ÿâ*Þx¸ÿ{,hÿ½2t€ÿÍ äše €öÏèë³r±š~±ý^€\þÿÍýï(ÿo£ÿ$åfkûšöýÿÚÄÎÚÖëß Qvs­…¢h9ìÿ¯©6ð_«¬4·v³û¿ZYWÐzˆÚ[Úþ·ŒÖ.RÖž@skW3«Íк okmTqp±þ}Ù˜@ û?:Й}](. ^ý£‚öéSJÚ›9˜ÿ^í?”A÷¿ˆ¤3ùƒ@g1ýƒ@–fÿE\ ™ƒ-¨ÿ‘prþ–ØÙýñÿÝYó¿ ¨BÀ?@Uø×XýGÂâjš­‰Ý_> – (‚Å_ó7´þƒÿ\¿¡û_)ëÜœÿ 2±ü ‚Zýaª›•—£Ðþ/ 쯄¬ 6APý>üAE²ý ‚*ø5Ð%Æò'2ÈÕ4üéAdþäìð?jÇ?jP0GЛÎÞhñ§¢œlÿ–:ÿo¡A¹Π7Ú_¦ÜÿȬþjèÝÏâôgø#7 Ë?kûß©`ÿ-tpš›ÚþOjÎ?Šÿ“ïßšÿ³ýîæ_­aUÚåOy~# û_­à™»€Þ!@ þ„]º,®VÎÀ¿º*‘«‡Ã_ 2¸ýAÝrÿ ‚Žéñ×h¼ÿJÆ ïõ•ÁûO-A‘¼ÎÿJõ?—™›3¨®ÿ¼Z@·Úð?Ÿ@ 'Ð aqÎÁL ÄæGHË}•(¡Óî˜Ð4Õ®öw:&ŸEçV·Gدt•i×oE¿v¡­lKÒÞˆ,‘¾ø7Ö†7%¨6?ù>Å©Mî6#,Làôç‹ÖôÃ1iˆìù¾8ùj}€lo—£ÊrrãEQÉÁ¼÷è‘ö¬é-Y ›ÛUÝ«ä–G|.™bŠÑŒÖ*œ¡Ê6MŸÅ#‡qe"†£Ç8÷D¹¹ÆÈ#•‹c@ð;‰áÈ÷y¿ÁþùaÖ{µLƒÝ¥Ÿÿ=1ä ÆÈ$µØA’î¼OQþJß‚g£`>i&2ã·&4æöÔJkµ(ûúîj÷‘Å6¶¬¯€Â>Ì„êâz,#greìÊf£(L×jŽ@âƒ6 ±Õ–[­N ›oDK|S5o€d]«ãÀ†NŸ§Z§ÕÁ¡>¦»°oM÷ƒõCÛ~څ½ÂD–lô’Vz‘+Ëü©Äß K\G!:´²XhŒKî_yŸ¡MB}>^ˆ=°må±²¾ç…î!:åÊò½øìW^w®Ô¶1ƒ>oëaüÌ­ôfÚþíü<ߊCÒ8-Œ6;U²óSöZ,ªÀ`ÝLp ËùF9³D±©Bü×ÂE?e>§¬t÷î|Å`¤þG/›¾\æS­rÍæ/\¹ªd;'QL£uAbÁ¡=|·æ[·¥¥b†Ø‡ZçåbƒŸ75xB²?µ©fv¸('K‹FAÜmÏvÛRüÒs'³«EÕÖzÜí(xö`,‘• ¢É_Tì•? ÷]4XÈïƯ ÁùtSÈþ£Uùž ) mõ3UÚÞ2$…Që`½ÖÅ+¡ºÆ}…÷X÷üÔè6Ùðä6¥m¹~!gO@€+:Ò6Žšl~;0åj]ˆ6:òÕ"²aMÓC´v‰¨:u¦¸~20%FÛÊÁŠõnìDWL“¶¦Ï€õ6—a³å.òHÛ Tá¢ÿc ëF0´TH¿Cœr]B8Bó~bï™ûk攧t¶ª})aJ$þŽu%Õ\bÙü$‚;nµ^F úõv~Y´E¨ÎG8³ô(8°mÁY¬±Ij˜*’Ùd!LüÕè4询(r¨•ÌЋ=?ÄåÆÀä\KÀ¨»}x`¾pW#PiMtOtÏÎÉÌ&\E±¡HÍ[zKq%Æz\¨GPúV¾9¨ Ží}CDœ4öÿ)˜NÂÆZì —ü&Ø|hwV[ÿ°¶6hu¾–²^~WWWU•*<ˆo,|Å“tŒƒh4’­÷µíŠ×SE“m–øJÈuü^l Y€;¹±ÁÏYÞíã)ES Ú:§VƵüÇä´ß­ÉÜ«¿ •þºÓY ~SÓ§2§;™^ªÑlSNÕYMå3vßžYë:q饢܃b¦.kÙH¬»÷:^âœþ}7Â9Ói0…œ_è21]cJWžyEïh®“WzHÞÇ$Bü½˜tF+ ±×2-J¤;Ê”ïl îf³vØÐÖuÔäŠ'Gv="õÚ³aåxyåv+¦T¬‹ß¡éSŽa{²ÖX,nºÓm[©T$Ù³ùI´DéÔÅXöKpN¹0KÄ3Ds×ïÒm*|†;i)št í¥`âÉá¢À¾ƒ…ðú¨-8Ä£wöhàÒîiŸC˜Š¾Èû:("aÎMÓF_%ŠkEöÚQcöYÐZá™NN~k³TL?dI«J:óA«Ôd ç=Tž‘Þ˜ŽV:nÿÕµjV%²†ÊÛ{pÖpˆ1Þñu‰ Ø9À*á±!Á çâKH´1ƒ­ÜPõnî‹‘ˆ.7̺Š‰û¤7¾æ(¶QUæ(VßûR6ú’þŒÊXE†~SÇÀ0ŸÕ’ø rUœ--…ì–шidŒ efåŒ kÆ^ÞÒ9’à“î°PËL!}¡ r©Gy©{lÓ§ïqmZAŸmim-+:Ó—L§ÊcVÉJf“f‡õ7_L8UÙp«Fü¥|[NZù …#ù€xÿr\Ì?§Ú£xÇuÂÁ–çîçñÏ)dxã|F?/qFŒÌÏ) vW’h‹R”æᣔU°~¥N]°$Ü´·åö—ƒ•R®»”‡ß=VÍSþ,*Š7ä–°6e›C½_w¯»;_K³8¦½4±LÝ‘Ã$xÅÇNa±†·^œrƒ7Í èGàíïñ•ÉŸÍäGðb¾ÔËòlÜZueu+/IGrgÖãÌU_`7õHd0¸ç* ð¬ˆ$F~¬"ö’'“‘øï” 0ð8êçyxâcènI#®rIVŒ®$`ce­4&I×ÝmžÒ’ˆ"ÙÖcNž²¯ðº1_¹1œn/’?^½8g ð¬¤Bph®\Ïò„`ýîò}nC›MÊsütæàÛ:ÀòÕ..¦ÎSËë¦n }2Ü€ÂÛï[¡£ûe'r:qX\òíBo³³ß'Jlû]ñrq¶Ç×sŠ»"^°‰Já3QòUàYÓ¹G3 ¶AR´0ˆ ÑJW‘à›ùæ¯e]O¿ÀãËÑž×é["û ²¿n÷b†`–@ºtð ÖIÇ"‹K‡jæXm´öPa«&ŒIå;¨´ölM¢P–|i%Ÿäàh¹Sá›ç;yãÂNc¼]N‚|⼤ýÀ¯”˜2à2}ÓŸXO*cŒ”fH¬½JÍÎéQlë¸G9î}†ùÃc5´ïD™Ïô-w—\¹ shT»›^ Ã`•¥ÀØ«$Zµ>b0Q_õk¡}ÉŠµÎEÌ¡àÖÜ(WÑ88/LJ£F©Iž'¶ŽA-yîDÏ9?õy@÷¦ó—®Я¥z)?ênA7\åñaL \S2çäê5ú|Z>¸cU&šæGÝ;ð÷ª"c¨²‹®T¹;oIizEt<=ÔmÏYVcöéHÕø‡º43Ë&]?5º/htœfÖ“Yìì¿BÊ)dã ÂÑ&‰ üØÏžHA(¯S"ö‘—ª[_>7üjºÖeäóËX¡2×nÙ$O3¼±×ç9Ã}ëLa}¥i/‡3áší;e¦³èÛ©ËW¬®¾«Kû÷ëôÉÍBÅwC.7ç©X¦">q^sˆpdââ¤Q>¸fpÌÚïžœ‘ì±âÚ#n˜:†Zº¨|7§dšÔ¿­›I¥Vtl‡Âh@µÅDòmôO­å=xdìIúÉ`1ÖïíUäLºiôCÌ»b(<3ìš]Ø}¦âèªåf>¼[Ü$—Œ6Ï!i9ÏÒc‘ îžgW ^WÄKÝÀÿ"4"¹üÁÖAlî°,ž4)ÝŒõá >R*ñ#Òêúãi±äº‰^ÄG‹{OÎ@™Ð,lß#XíçZei’9,4]Lr±k®Å«ç½ûM}òéR=˜{¶¤±ä_f\J÷|%ŽïØyäšÅ^®ê\X O#ZÒ^{b«2¢¸¾Ó«ØâMvémâ'U£ä3àÆ¢Žx´óª ³®Ãt<´éºÕ.ŠRèQ3$V3±m?ö¬1Êš×MçÿÁ¥XX µ¾wºŒu ‹ù¹¹µŽ0 è‰Å&/t£w1›ÌoÍ8ñôX‚Z›(p dgNU§‘Ff½puÄU6¯¼>``–yQ—èBdÁ»Ô9 ÍèúÄ~%¨ ¹MùyÛUT šIÙ>)ê›0´ÑŽ¡Qè²%V|N_¬@Œ1IÕį"y±ðµsn`ÏÏÎÒʸ„w‰¶íªŽqa¥9Óta?Óêò/Yb`Õñi oøw\¡äªmDŽ°÷'~Рi<Ï@ÈüâDh¿°ãäj« Ζ Óà%ø†à7ßã4•$¼5áÍ&®ÎÐA”«ÂÖíO„PgEä(•KR\ ùjK{1]G GÒTÝe±sTâ’ç×~FúÒu//¬™DÊ$•o¼oœ®ät‹ÑôkïíÙï¾.‚ÁÒL’ 'é~=9{ ›—…›ÑÝ-šÎÄ—§:0Ë—¬l8!yJ[‘5 T‡a»P\M7¡[¡Œè©†)X•è2í~ôWw~õ2á(ªèJÏNðAÅ@Oâê‚áD…ŠpƯ®OÒ ܧŽCLï®”± ÏAÛvÁvÆþè¹’„°ÇÜõnib®²2{ü÷Š%Ûê¤J Áý¥”ªKà:‹É)ïTãúþzáœmY30uê$Á7è–øS( »=/fPºÔG"ým­êŽÞ+“rQ2/¯–mþ‹i¬ 3²\Ïs褦㊯sŸ6Y,ü8Ö“R‡ ú·É¥‹“ÐË÷i,]&agHu´5_üžoëêt{êb gæ©lFûÉdÚ΢”eÞàG?“=üŒ8ÿ1v·%×àžò#È`…r¶u™FÜJ8ˆ+Y0Dï…¸ù×pUç…HB9^:|ŠIYm V²h€YdØ¡­ƒ6x­"íe,Œ3X}!Ųñü„½®Í²1‡¯-„;q…q¬mÖKÀF5ÙnísöÍ´J×ЉObŒdå÷3¡1G“CÄ «cåÆéõ§©ÛŽ÷Hå¼n^+”ΗI«W_Ý,üÌœº¸:½üÉ^V fÓ ï;NP4ËÁÛ\³èö¬ùe.³Ú”C{–i+Œ€ÊA‡ÄRZm¯N08ïÊÜ6z˜¤ù#6/z¼ƒ3BSeÞëSÅjþr_è#AžðÞ6ÄÛ‹ñ¢ TÒØjøÉ!„W¡s¼!Üb‡%Ã4ÍrGl½=/#²ò%Èb<øåCƒóqêÍ‹;M`¿3ͨúv—DóÈ¢­×3)ON’îÍœxMy¯ÝaáÏJi7.#éTØûºE¶‚'TW–èÄט‘­s„ ÎOÕlåöFOïüaö,J,ù¬(‰‹zÁ DÎŒ §¥åo¸Jaò<ú›¡vdÎD‹8,D?®ë¢[»•v­ît_¶NžLaè:£KÜÜòÇÆ,™“ÀªåC®D]Ñ‘Ž™J¾0bÑm5™”ä 6Ymóéͺ½Á©ïãñÉÇ㇠÷hÈ›èPîxX&üTÖÛ‚ðŒ"têÎõ‚’¥Mzk±AãR(,‘í0«óóµ"é Œó–ØÂÔïúâѬÃÐúRöžìl¿g<¯7­ý²Î6`ØAØnìv/Aà UvBŠ=·qP›Òg¸ÄMxÊ’á5ùdlržQ0€©W9‰f<Õ6"™‘ÛåAÐ }bBBˆ”í½g}©`‚‹ág3Tµ?(ò”¹ë×à‰ºw¦ý6y×>ÜåówV{z”J[á÷ÅÞWQ_‡0¢Þ5ìóþ"udR˜¤È}‚<“7~0®-¢ê2NÊ9]mt)nrnî3ÔþD=÷¢:´Y¤djÊ°ÜÒ¶’á@³X¨ ßâ=yeyd9j²óù‹[­TÖd²`7¦Î£×jCIÙÄ#} Ä€åí§°»A×Î"™”ÑœÔùËÃÎ ' Ã´ïš¿®ü‘îòãã'xÞÐõå]%ËØÉ€h**å!?ô‘Sdaw}Qìí¿~pÙ-|úÀ'«so‘[œ6 ¹õ6þòÄ€¹X #yR˜„6À|´IÖ1ÑMN/·¬ÎƒÒ±¤KR Gt}f³ŒLL=µ(z ‡ÄPºÑÞØ ‡±„!t“¤”½KÉíþC@CýÅ2^…·7αÂÓ}áT°qšÛ“»î‡)\s-i…9F†}ì2é×¼ C–†b§Ún¨Á[p«è^Ô²‡‡÷$eÞ!Å®"Hw@Œ”ÔÌÅ‘w6t‚ÚVÆ;Š-ïÞæsßü7¿´$äf}¿55é úMŠ;Gàöi ˆ Zà½@|ÏOTñ€Ž$Ÿn‘¿¦‹ÓȪG‘º{Ôß'x¹3œI€$&€DH†ïð=RHè÷|D–q›á~Sí}™øN“®Ê1`*àIÑð™”ãŠT}„¿ÄÆý×2Uƒ«\,Ë»¡lå·Ó4bg­µ .|OƒªF˜–wt[g™u¶é\mhzûÙRhŒJÔE4˜ÖÅ‘úÕJª²—23£×¤Âü¿D¤Îp÷•ÞaÕu:WY«Ëèš­6´ç`‚Z9-¥$ê­b—™j4 è Õ¡'™HBí=ü^#Þ+5HbOˆƒ_WÞ!ê"ƨAë¼»fnÏ9Z¦ô~.¸þz}ÕÝä2ŽÅ•ò7JõìŒ †ÔÌð¢Ñ‰¯ë‘AÕœCã–EÔ'MÙ_¹}÷Ì?¨eô1øn¶€^–ÕgºNŸÜgîŒCsÉ»ïbÐmG*Írd1/ôFe½hˆNòK/êÇgÍü´GºŠsKÌÈal§þ sŠüÆÊì+X§~Äü´d¦F‘xyHižØmòr_Õ‰pˆ½’Ç]ÀûKoßÐ~¹= ³µê˜‘ùü%³v-…]¢g±sçêˆì=Bøqsz5æõ Ïriú+58$åD—8f'KxϨ¾0îm6l“}©¢ûί‘Ø“¯ø#rî]Œò¤¾à𗵡ã_µÖ¾|ICøþœªR«·²&¨Ù©ÃOõqiYØŒá–j£þ—RóŠ˜:_Ø}pg xLIy÷\OZåÆaËꎡi±v/Ì2ízJ@´LÙývdtÂv¨!–™sy·®w¾`~5®ó7QsYqBc–ˆ ?&8··þ°í%êÈKdš<'ýh<þüªv¾ú®JÔh…h‰4MpNÏÊ#nÍÄÔˆäû„Œ O'n%É/ÝíA¦Rƒ’Šqó)bŸ¶2)1À .Ø©U÷¶ü÷ ­ 7I¶GNªrû)–ú}Ì =&CˆÁ¬­HàøœF5}콇ý¸Õ ®„TŒ¶á}ªÓ´¨j8ªæ+©éFÞ);ä½h+s—0›÷m–ˆíÏ;5$¨ÀÝ—G¬X¯ r]™ mfÞSghÐîDÖkÀÌ #}“£0fE õ—~@”ø\B2 ¥ômJª»ãzÇÜáþÁªWbÁ \¼^†CÕ~ka$p‡qÅJGœþgo&˜u¦ïëëð°ÖEˆKš@¼§ÌE ‘Áž˜-|àF7ZC€¥` Z†ÈpƬ~ÀÎ*1 • &ù¼–øGù¤Cco0@û¥xÁŽX,*1Š’\ú¹RÆ«­ ^T4áÔ¨Ñê)ÃòEœ~ÜmSºÜÄþ;­ÒÇ-D1÷ƒc¶ìïúæµ(Ä¢… ö!Æž‡ ¢µÞÿ\J§ßj(÷õðì ó.+—ÿò€|ÖÊ7‹=ÂãiC.dìN~ºo¾X™>Fj‚ðµ¯énih…å¥ 0ªÊ®SÑ«Vž8ÍÜ0xk¬wþv›fù2äÅO’ÁFí°FÁpÓê°,þC\bÒisæKÖ©MLìb6‡îWGÙATçÆÞDÈs»Ä¥ˆØŠ–;ÅúaIUÂê[èéµØ)¡*=­–ü…ä mCæŒðä¾ ÔŒ¶Zý™ÎûØðcyÇêMüvêI ôQ™‘̘h2¡çÄÍ©Œ?C†sJ°Tð÷ßË'„eZá¡ Å#Ö¸¸² á¿ßwü.Ëã[œt;tøÍ8Œ«=§òe{PãMøaˆèÇBo>‘¤ÅCbžð°fܵE¡Y– ÌÍÔ­â9¬œ6¾zzÈqùwÚô‚¡ôÁ­ÓCøù‡å÷XîIôºôí/¾@—d‡7Dd›EB$BŸ­ì"*¦W•+å ®bšsj#ä'L§ËÀ¢,¯°ëšà^“-~f†"oà}bj”ç€ VŒË¸#ó Ï}^Uo«hÒ¨“Ê—š¶Q»XrCzw¦‡Ï-¸ë‘4¹]&elÇw©cžåÇa,eŸ›vmšØGÇã/[FàvwG±"ÓQ*H›+òÊÃ…ÓÐ8#ÛŽ)™eÉ¡ÚPGŸÐÝyÛû›b÷‘•»·òK´ð–~ÔJJákÛÜ1-G×UnOº„|?7xµà¦`Å7ö½.«2›œâÝi‹?"6 Ïó˜ù ­©érë)»C¦ÀV¡ïghÒ V 6»]ψֆÓË‹¥hó©gÙó°%NÛê$õšŸ "6°ÁáàŸÇÏL_+À‘]¤ˆä|\ÉyŒcS&3eW…rêÐ`ÃèÕùg¨s Õ¶6¸¶2Ç_yÓ|"àöñõ%¼¨ âãT`?Åf”˜?}ËÕob&÷HÃ\#ײ­áì ˆ¾ÕšÞ{ôÆj§˜YLÚoŒùféžyvÿÕ™™{•‘©Š|&¤Pz3ÝJMÇ‹ò­|e›£ÌÔG¾MÁ¯Âi¨mW¢ßf”¸é+ñKe\&åYÁuRN3utRÕ»DÜQŒšq•/A°Ìfíç6¤æ—’îíÈr¿žÆ¿mlæÛ~˜t[ê8=ŸtÞ¡å¸ùàækRðõUëRv”Ǹd.Bý.Íb›‡ž^§äˆNJfSúš¡ÌÝk+DúX côNô™æ#U`GY‹ðÖܧrŽRî²…Ž²‰Ç+{fñ3¦Ï¼’Z~¡xøàø/43èi‘Ì=iç°c/¬úv9¬EÉD‘ÈIŒ9Ó7CFíÇo[°U'ß¹Žß1°Æ¯º-*œ}l-vcL-*²gôƒõ«’.n-ôÒN\?ѲT£¦é˜Ää¶x£ßŒ<h1RþDĈƒÍ ƒ1ßGVTÅ –çÀ]¨ ¼OOÑË’,û4Æ#ßøJP;'u–Öm×Stjª .žÇ#pc4Ü” jCèöžÂCÄ@Õ(‚aDŸÔK Yì‡|ó~Ä‹jxØØj?ÂGR3™ÄÙ=šêG5“ÜÄ Ì°m“V`¥ÈL¤VO³ã(¥H˜Š±Þ—-“Zˆ%GcZ¿/ƒø±_>’Ð@‚¦úÇ36_ô- Éf¿õ›5ê{²;®iñ}3Îî"ßNhôjx×yÝø_ $Ú›õ¼å·/<ñk^4CÌòŸQ¯q»¡ñŒ÷ýù¢gGŽ[ý®’§áæ|Yáöoò£ýG­®¶ý8›l©V}%ŠL)hŽXOò¢°*/[1kYÞ= ÝGQ°õŽ™\Š l!‹’Rxˆ0 Sb#ɺBfzŽ9 ¾-0oÕ‚BjGè³!Þ^ÜT)#øö*ÓÑ«e+« Ód è,l…Ê·ÀôRüƒÆåJùÁè´—%¸Ñø'e?SÒwiÙb!Œ3«$Î'Û%@y¦ü{HCBΣz”éP¦ªîEV<+Œ4ô0ÌÏ3ç¥ ’–{‚c)‘›ê¾øy@½8î)¡jë&äÒxb± ",¾œW~³qã—|ëã_ïï2ñFDÌ&-ÎP"„à"(á9¼ânß÷úÒglkܳ&±«›KN@m+ÏR€0Éå¸Èo*ð Ön–Q}qo'ãÞBõ¥;Ú)'¶är;&YÊܼ–ÚÔVšì äZÙÊ™‘0ɇå0\±áŽÓ¶ü:wÞ#žÖ6 ÑuQ’`) ”.éŽÛû¦ÕÁ,Uå’UU­ ¤:ªÇ“æBÝõ]3#.ÓÞåy³G®eCgu2ƒ·–Ž ’.5ù(ÍDÕÕÞÊø\8MWl×ë'¦Ï'Ù—>äüÄQï<¯DnÄ1ÁP 9á&”6 ò¦þ^\ Îa\ê`qZ…?ýyH;õY@Š!*½êd˜¤Ž<^<¢€÷bÀÌg@wba¯HZ¤ni ú@TÔ}ˆ–‡|òø^˜1„ïïhc”«Þ0ßËšD<”(Þ›ó`‡ýѧb :;Ü’´¡ú­6²µÄ2$¶¼w:Î ²Ú•%0*vŒã!=ð¥eªì¥Á6ðaW—y˜˜ÖlÚ½Þ-ÃM™r¹–b[N!Ô¬©z4·oîl½_–Œ¾‡ÁD €UédSLØžb‰¶ˆ†ê%ÅÇ|K„…áz§².Þÿ²Eaøü£INPýË“:úÀKb9ú²´Æ„å³HG ûÂ>vDÙñ|M~DÐÆh®XLAüt4Pa~ð{p‰Ahä4eýnÕç›ò~ànº˜Ni|&öf{ÄÁ£º_d®÷ã‘—×z®Æ‚S8¿¤ô½ ! ¦“Jdxw7T)¶þ§dE x8†Ä7 _ªôæì¸4Miùk9¡%éZ2L­R05¬þ•!ýÌ=‘Ê-zaLÍ›-Õ|üŒ“èäö}Ù¢°ÁÖ ‰2±!—Ç ‚ÕnÂÖ ‹ª!ÔåÖÏ#^eŒ¯8À|!l䬜™ 8ùÙ•™Ý´%µ¼5.›Sø¦>×_’"ya׃kïü»ÆÓlDRwTèÐjóíÐÐugy7½ß6)™½V%J=Ó¶„Úé3¿<…L˜­PøN±<æáP22öµw¡AògúÐ@J芟¶«®¦²¢úØ/]EÔÞÕÎ7Ñ件Æ8˜ÿ|Ç1Rák)?DœE÷“Iêëù2:"eø&ÊÒ{IÊßš%d>; ÜÅ^ò(í÷®Æ>êË6hã-iØ vSöNäUþ#VànöîK)6Ç£×eœê­MÍ×ó×£ì–8ü×`Á];§†ÀÅŒœ0‘c¢õ—Fð‡z»{ìs]©QY}YÒD·,Ϭԋ•B²Pi2ÖOPqpúÁLs8Q¿ ø·‚ûðß6»I¹µáŠC•Uú©Æž:(¾(±`ëéž“TwPþJ€ÕŽ’¢²´¢œo Ñ&ÓOþKc“’bÝÙ?D»ôkâÖÎb­_Å/"‹(^ÀIK¿:‘# 1x%ÌJ¹j¾â\ÀÁ~Úæ=Œ[ úÂåt´äesþJƒD(!ê[’EN_Å¥4¸sé‚Ur ³VèOEÈž #äš÷ìHU}éonŠçªx›ˆqÌ«’=è4SŠU¼zê0–DYY_Séû*»^—æú¾=›‘6pÿÁ[,§N×·„¨‹ZOµåfzN0>Zùnñ6ýÆÖè<õ¼$ÌŽÎl‘)¸vš·>kg øfÈGw ElÖCW‰»ÙWÙT8ÔR]‰W#À¯NKfØ…,õ]òxØ´!É¡mAe—aà]¶v°­›'oŠ’½é§ËªÇ6’‚m7=h+Ù“¤ˆÑð,”ºnaÏ{Ñ®Wü±{ßï;O“>–¾º“1†V ,dWµn˜ß®0“Eƒå*|#ÞÌ¿ùá0dš1N•áÁ¯æ†8«ðì +kç¦ü"#ˆ¤°ªg“f›ƒhØ.ÉÜ “hç·y*û âØxš¸)3òpé]`ï>Q5²Ñ¤›È:ìÁ¡d¼y³îÁ/$F艥š'ëÎn—­-4ª‡Îk ׺f«ŒxëÁ(ýt½"OpÎ…Úó)BÂÆoj- ƒ¨ÂƒBhº› )/V]3ðg=‹ýϨ#³«¹Ê¬3koñS¬+Òph|öƒ,ÅhèMâð¹½kù׺ Øè2Áfȱ¥¤ þf½ZçPàŽ dBR6sn'ÁEÎiŠwZ¬L6»5¢t>É&ävÝü5ž?å >™(5ó(›Æ§9N´íËj6 }7aÔÇt/'Ζ#ë;tnYW}ȧSz¢N“{¦væô±lÇQ’k“ÈÈ‹“w­Hë¬d;Ò¯«K²%%~SÃX‰ g§@I¡×¿=ì;²qSŠÍN°¢YïU=- XÊ#•ÇgJÄ£fü4d†Š‹~f’Y¶ùM.ä±ݩR|•0Î+Æ»WHÕ^;:VüážÕJuMë~fHÐI+CåôØ(é]§ÜÈ–²Mt¥pE—=Ži•EmÂa“Ö)УĒKÜgÔà²ÆÏÃs¶væaý­Å ú±R¾5[PE0¹Ý=Ó ×æq½Ñ¿P™mFªr¹×̤®% –€k¦z®õÓ…ÃæN@p±œ[ŠÚR‹fm©Seƶ‰[¸K„Ü_“֞㛿Úû“)¢[J¦üvݹ$óGØÓ]¡ ¬òþ§F¸ã£.C–ìXƒ€T&Ò¸ RiMf+Øñ¥oqCŒ™©Ñ¿$Då?øÛ“°Þo5-1õÝn®K*KÕ…÷Ÿ–œB…õRû¯‚Éwᪿ’Xj£‹sÚ}¶µÎ6U8Œ§TÜR g8ЛJ®e¾(ûÈvÖ€g–}ÞYÖmþŒãûk(ݱk ¯ÅV?•¬Â똅4ݼúkWä!Îï~ðÈAjÐð¥«'Õ4ô¶˜îa«ð­ÞTïò¥LO¦Ä”ÄŸ¹[ÕzIöL›yWJè«(EßÆ—Ü޹Ѫ‹º¼Å²×’òŠÆ5*W*) î„‘‰}!Mæ²,ןbÖ2ÞÂ…Ñã>ŽÎ¼×°””y¹üNIm¬ Ö»‘¯Ó~ACrnî~”nûÐÝÉ% ù]·O J2¥’ñý]QtBTùFJŒP?ÎLý­>rœH²ZðÝ-„9Vñ•AÊaP€Ôõ}ÏÇȯ çd•ŸÕc³ÉŠÜ–•abæ8=6=oEÈmZî­¤ßçQˆ»ÝR¨ =¦ŽŠN«$Ý,è%ã_`H¥p½|Øü)”ø5P¥7N ›úˆ)†çaÁ•_¤ ÒV±ˆêQ-úsž¤cæöj¦dD5“í Þ6ü¯ÎÁ²9öOš…×=T–gü¸Ë‡ó/'ÚEJ–Ž=»­ºŸÖ_xI›œW0S¶¤«F'aõ¢ýoõ8²xdË‹dMOWç½Íw˜2È!‹iÌûT °¾ºôf“bS™à7`KNñœÏ©îŸŸöH׃¤Œ-NâKO•Œ¥ø÷†®õ$7A8Ã/›ún¦v ¢kwÌéjë#È Z»?M~.¬È¸"³*-!™â¬^Þ*§Šç™AªsD|¸`!©òs*w4Àb£*‡“‰"J„7J¢ÌÉÅ’åÍÿÜ>O¶Uˆ$íæÊ}+DñSùŒ+8Ö,ríßäÌ(ËÓÄ>¢E½cD³ xë1YNýègiSžÉ°„˜k=Ï£ afB| ù$Õ*âàÈÅ}ñ¹}ï‚6ùaqÙ³nvU„ìiÊ{ ÑË55'jî«ÔîPÜUã-³{¶,›ÌhYÒÚ¨… ¨$yëºJ!Ê‚=Ø+×µÑEçXWºd¡£äJ yYí7ëï›bfêzA™äw‘º]¯2P‹0Ãý\ð§ô—6tz/~Å`éj;¾ä‰)h©^ôÒÉãà‡"‹²¬!àåFÒ‘bg(¢%>±ÀWgç÷±x´g9`M¡ëˆî‰ˆÈ$iô¼OyG+îöE=U¾s‡"°’ Ï”Èl*U/ÌB‡E†ÕˆcúN›ÊÔû‡á*Ö°Þ»`:´>¥#ä±CO¿ðºù’@Möß$\'§>¬ëO‰EË€ÄE®È®3$4°—î6œjûÕ]·†ÑsÝ2»Pgç¾]%·â3v&M)fË9¬ùùz~ õˆôÂ+vQ–§ùà 6Õ ‹WXN{É•…›ó„©ŸP0@úÚ74éÍ16(û?´ž–¹´@wßi=;;5õÎÿì(º©_=I`ŒŠûõ|dyOU¿ÑQ‰êÖ3uÔeZ/'꣰y_÷„H,5ÄÔ lFVè‚'B,ìyêtòÐÆ"uªKºþ¼+¸…QÚÇÙ¾PmŘ­¹ü¦ „×µ $ÝY‘¡¾¹'X~ʉ#¤¦ž4öXaå¶àz‘N¢®jê7"oxïó½mÎ{ñÍU©kœ ¹¸I×Tx¯A± ²è’:N÷F?€c§ ]×Ø©œõUR\3V,gãmŽNn]a·3 àM'üˆÅ Ã7°ò¯ò| FøUõ˜Ûu¹¾¥Ÿ`V¬eÄã†nØ#ÿ¤Ì…â'Rr¸XJO{tAb¹v7 Ù7hK@lÜö¶Ìk°ùð>a”Ï•énˆ =-àÆô½]wH¤ƒ‡_®¦{X‚ïLÉ6á1BU ãû.óÒÊΖ½]W†QÚa~œ³}z{™|¶ï˜(ògHk=_»|¾…òÆñùÈMFËÕ!óÍæêÖ}Ñ*ý­¸¯Á^QyfÔ›¤å:Œ_÷í1NÔÇ"¬ô³`ÚÛYšO})5S$]u/8{]C`?váó}^«T«ÜÏéÿå@pov°Ò£ˆÆCJ¸ÍMÈ÷S§¹Ðf>Iå¸öå5ø2wÚ®0µ‹øŸKÞîRíq2zOf2ìîÞK0VŽ*¯¹áñù1¦µ MWl—†Ï|¤Z1ã¾ãÃ`!ë&CvŸÞMÙ»w!öò{Še¥·,\áæÝ)|²µ„Æ@™½Ì„êÃnHL¾¨ÜnühüD–œô£J,yñ… úÏ8µ×8hYÚ‰ŸŽƒŒ¿(h­hQŸÁh"ÚxÍßöp$Á4{lïSAsãvûÐ2E-q\Ü;¹aÂ=׉&:M³%š4ÌÑ.Ë ­ÖV}ü|…ÉösäM2Ê#žMâRkYPÁíšÍñ"+­´ß²MÑ°ëœ<%„ëÙ«çpì„aœºKX1Fòœ<™Þ×Õ–¾ËⳆí÷xýÖ "×ÌÕeû+¨~g¨2#G)%e1çü‹Ëy1@í±s9¢¤WГ-j®˳<¹¡GtÜÌì¯ÛH¼q‹U„P„2µn4'Çz ûZ_¢Öe%ühvFPé{˹>˜ý²QØþ²—8øÛ$Ë:D~ú…n¸òy{ÆDRè…;–},Â<Ò(~mC8{‡·“^Ë\K“ø#9®n»³™ö¦·œÂ+}©´2ä„oK³^ûº‘~³ ¬Ék¾_y¯pk쾎×Ì|¬“ð’Ò(ü‘ÿ—A ¨€Wûëëžc¼¦×YÁH¼˜^àQôãGïÎ3<š ËŒRÉäIàئ-+Y÷’¼®?,ÿô"3FºAµvÎp8"ùv&àm¯ói‡pôE`¸AÒQPfVÔ)¾ƒ°¸nzŸ"èc²«ãÑ8‡?ž½ßô%ý±NoŸœãšÕA |:ñˆVâ!Ÿ·¿û°Ò¨$Ž3U|nL&Hò¡$Š—‡’ÜR¬Â‰á!I 'Ndñn‡Ð{‹¤æüŒ #ekÊÝfÞÛ<-:­C²D¸âaÑn•œ(–Ì•J¬Dû¯‚m;—ÓVš-#HaœºãÝ/¾áÌ·~…Ñ~Óc%ósªŸÚQ?—8êñqÙX¡£[ž ~ãT‚-…K[h‰oxð‘­úúH (ôˆ|Rä`(G>ÉŠÎu¢käêzCß^†¢´ýòÆ…>"GBÒ°Œ…µxªéèWÈÔ¶ÜØN”¬zbãŧp¶¨Mgœ÷TÕéßÖù —•úó[uän^}FÄ¥Š^@ª^¨“ùÌ×{Qö±:Ãf¸-›FnOç]~uL4wæêðm Ã4vÎ2[MR³¥²»¤6L¡â~®ƒ{ñY#eßÃ;éuäñúîAT'¹•ê&+,wz¢ŸÒ‘2lòj¡±îôOq·ÇIŽÌ”X$Ÿ¬¹ÝønªëÙøj¡¡jbõ$›ÏròòÀ½Òj1µ’%Ê”Çr ‰Džµ§U:iU :r†±¿0O¸‚Ñ•‹w¦½[Âf`•;ËV?ù¹ƒ1Ùûëõ¼®I(ÖéÈòU3MS•~Œ[šî&Íîà ¹#TÎb,÷°ëmýÛÀ†ìö`§ Ñ9ãeÊq3î:kRÇ¡VWÎ0ü"¯cUÆýŽi è•e*ïZîDK•º{¾¼iÄÆ05IVz’wزWòžß9®Œ-ùmìÒ÷ýÇµàŸ¾£•J¦‰À ‘@Ò—Ñ|’xÿd‹ÄaòÏ S·ýmc Y °¶¼®”×”`&^iÌŒèІ]uI+ó¡sý3ùH—ú“7J~ÃÏ‹Í0ÑPß‹µo³#Ù„>VíôðŽ„Ù–¾‘Íš¥Ÿ×û sÉ»–jžy:àjŽ‚ ~KȪ›ÇÓØæ/iC³Ù>õƒI6øgç3x/‡[È6\¦,–åi ¦d2ŠÌÊp¬!nK ©:®Õ«ÁÑ®âPT #¦×ZÃXXVì…¡°Ø®yȹ݇ÏBýŨe~ï‰7¸µvš–ÁŸ°Òí„îžT>“{‡²!¯ZÒYÌW­°”œÓxN¡S†$D‡j6iN'¢¤|ûÚ¶™?„ÉgY­Ñ¯cnÖ¢qQˆ=ÔiºkÛ` ßW3•\µáSz¡ÆúµËà; ú×8Ñêž8²n*èˆbŠ|¨/v¦ÂY¨•j#)Ó'?›×$IG [[ Ëü ObÓC[ù¤÷Ñ[µKç 效Oá‚k«±©Z¢…>­ñÂÉ9XŸ°<ÏiFÝ÷=;}, ¹efTÏ„Qs¹à†ènBÞË(ŸwêF‚”Ÿ"-·{6[u¼ï˜Q¤Î¨_€{jð ³|ÿÆ2. [¥7—†ó¶Oyz»ŒˆžÛèìp–…±àR{þŠµycÛeƒ_Pš90=©xŽò}À¨µ.aÁ‚{ü;Æ[}ŠŠ©#1ÞG‡i#Ÿíº˜ŸFÈCU\Q¶LjËÕâlýrò¾¡}Ëaú«ö*Ÿº¯Ùˆ§ä¥aëXa·ÔéÈ—_;_èp)a’—ɃÅ-_à@Ç8ýP@Ç@§î¥Ñ)1e˜{ñ¶+Ç=ç~òP’oB_ôB߯jd"œ6Hi'Úª†@fŠBP©™ÈõçU´Õ+)¾­~†kãWÁ›8š*“²lšˆÑûEVD}(‹²YÌ1g[ÏÛ¨¬0Úî Û†‡»#B;72w‰Š¡»ø$K) ÛÞéoÑu`¦èÅôî¹CÀ¥~?2ÚÓÓ°w‰¢eSÓɺ¼îâãp#aÄnà¥Þ‹TÀš­„„0z Jÿ—»>úVÊbÒœçÎ1îâ÷vd•@ç¤"Ý“<¥@ ­Y&ÉmV»a‘‚xù¥$ c#0aRôãÁµ†ã°Õ¸OŒÛõKJ°ŽäMil;Slñ}´&Nï~Ú0~–øÕI@ÙŸÑ q.OÏ@δܒZsÖð ø”½7®¬X®îù\D‡"ÕÕùbªœ®Mj©S­#,.TbÿhQró¾à­ÏŽ÷^Ç)ïJM¾Xé’°}O™A¡${þr;|ãÄi,{NˆÓUÎÆ%)Fõ-ìGÝ0Ý×Ð ˜» H:z÷øwàùÊô2:_8;Š…¥ÇÏîTWf8c΃¦ˆ{ÛÓ¥ükù%?ËQ«*³øÒg1AS×Ì,ÅÀU2/nHð;Hxt«ûÇ3¢ƒ/Ί}R³É«Ê°¦Á/ãñ\vsŸ{‡C´a†gÛí¸ëš´Âz'`ø†ÎAç.ÚpÓ]ó¾Œòù ·žš€êRÛéÄ,Z²¢Ø°^w߯™CÄÚúà me±€+pÄëäÔ>jÁ.Š¦½~Î{šžqÏÙ^H)9Æõ„C“¦ÔNöãíœû‚q…Œ@,(U|;k(’P¿}½‘ikb“¦8§'ªŠ«Öùj2Ü,ŸHÑRɦG—ÆÞ3£aí|pó¥¯5h¹ù_3£~T…ï¸XںܖÖQ®îoß/ 7¯—qèÚ¤Ô&~Þ~ê3»Îmìx$FÖÀSâd^#Ërˆ³rª&‘TmöÛ6=æ¦Û)TSÅ_8îC'¡9òG±®lK\S¼hq{|$I–[¿£†–iÚ¾*rï-¹¬:OyãxVÐD©nb8«’ òKlkúôUAôòië Fý‡™gÛK”õ^Q˜jg8t£kWÛÆJ¹ T¡6hÍÚ†®i< YÛÎûô_íYë|ã°÷ÊP›G4Õâ¿}L²N¯oí]ÿ¾(öý´õmy»úò6êZ¤+¸uAâ‘E$ŸBgœ27Œ–ðÆÃ~Lb·agn5ì§2keþŠu¶Ì-æñÓOÇmWÚÅ1v›ÌïÎ7.\âÞw˜ÕÙÈާ𓚟¤­M{¤‡‡oQÓä+À8U0¢Âï)W2lP¦ <Üb ô•èij ÄÇu„KeM§E’û oH¯›iù©[ª×³ä²ËèŸÕ K–+|Q]m â~ÚèrœKÇþØø~å'S¤ëÀs•÷*Y¹æßÃ~îl¤›Á¯Õæ©hÑL³½ùYȵ­·ÅË?¥0d+®òïªÔ, ÏÁvQ€£_Óæ,fÏÌÂÑ}LiZ¦ ¥o+ê4ÜÄ%™{ ˜cŸ\É­?…%xëç'BŒ„FäÌK¦g5¡Ë£ÏÇ÷3…GµÑîæ‰ÛB¸Ö½†Î㬫„¼  ˜Þd^‰¢ÇZbÎáüà»9ï ‡mY kð²~>x¤b¤Z‘?1 "„#ŸJ¼/‹Ì8°oqA{xß*úâ–±³ì !T}{ª{ÜL% ý^j—\ydø ìñS+¥Õßöu¤¡‹­«~s< ㆂ×S… ÒD4œ¼n>¯ƒ¢ZÁ³l¤õYL2ë/Kaš‘pa.ÄøüítœdÔK0äoŠ/“-¼˜—˜èÂ-,Ô°_!¿÷åˆäŒ¶þH¾£e®X%÷rº<¼iwMy§™‹©pÕ5õxE©ZÊnR¯ªª¿Q–/Þuò–RÍ.µk„½÷+¨¡WæŒ%1E»âZîÿ $ÛçYÏÅÆìª`öüôTDJIÄ÷Sf“ÉÏp´sß?Ë ¯X|Æ}—ê® êöG¹‚m¾ø:טWE4pš-Ô‹PŒøGß—â¡Wšo'c…¸ß®`ƒ>ÎT³Å +<¿6ZŠa"G‘§É_:¿uJ]×™Œ£9¿bèmxÞ./ÌÈÛÛlu ÙÊ<•Á6ËÆŸ\¶¡U)7yX¬¾Ä©šx×`€RxÖ`LòOa@»q],pè­–õ˜œ:6_Èù"ÈN§VsUVߢ2g‘ô 5Ì>—s6û/-”3+ú„ÓéuE}âɱy»º`â6ñ\4QVùm»Jú†+‰yOÕ7׬‡mUM²b-z.é¥5ñygßÛûé­ír ”úÒh ûgAE6àT“£±SqF-[—. ®¦WóZ©jF›ÐïÜ Ïú ¦„ÎÎö;ç:Âq0Ê‘î@"JŽU„zÝn+ÂVH½Ûá WݔߙN;›T#o¾žœè—½@ 9œÏWð¥Æg¶WvÛ»CÛ`îÖ§3– - x$"»®7·=96L¤xCöb”Å•’o; ÉrJ›¦æà1Ã7-×d¶š {æéyœ2º@½à²é¹ ±v8¸Fî­‘ãÿT¤_áãoÉ?©–q*ƒXõ‰jrS·sìÁW«9|M£¦ê@ô†ºêK'å®ùþñw$ LÐdš9—tšp˜º™Ý}NÞ–æë^êsñù"¢«ív¦°ùÛÀá ©xúäU6`trV×òZhÁ¶#ì°aO©ˆ?ɾ9”êÊ·†mE¿ÏO2ž¬{íÙÉ[›ÓøãB¢ÞÐp)S;è¿Ÿ9ƒ¡éÜf;G¶ÒLÌ{VôŠÈŒ+šô>äíh"³k}ŸÃJTvjK©ÒeYbq¨±ìãCãÅûW·šktèëG†XÕ™#öÈ`¨ï2fþPé¦<60ÿôŒgZ}7Kô]Ì\¤‚LÞTG¥¸?u|ê™ü«bßµgœúw¡ÀØ:逨8L§Áa õÎêð(òÔ¾f ‹;¢Ý‚ÿ]ÇñŸd“oBsðD çá¾^§JWïügÏr•ëÄG:Àb¼0ªU®ÓG+p K½wѳ7%º·à°ŒóóR\†ùk 9¬þ"36ÚíÁ•ß‰ó²^M´È¿J?MÒ¡ê_Í­¤"áÖ«è`k»Ôƒ¾j„å{Ç]æ ò[åõdžÕvcÕîS¥j¡Eø’Ö9b 1}Ã÷íõXwNYÑÔþ¤8yêÁ¦Úæß’ïß Œ•YË¢}@èN‹',ªÍR¨²Ým()à%ª§H #*6‹J P2-‘„ˆ.:\† ôোö!CÃEî†6™uÝ÷JÏÚT˜2!Oî¡oSÃòihàÿ$jýapv ÿøècpyÜ_’ºõç<¤yaù&F!ú,SÒ„ÊQj&Z‘2ÅJãR£G©T±1ûö&¢³EÑÑ#ˆ©Ö?ÚÐ]šö.SþºX–º§<»égB특í·[iÑåöåÑ[ àö¾”élö K’ðÛ/u—›ž=V8ÅA¨ˆ¯/é»Ú– œÓIv½ŽSY¯2Ô áìD.Þk?&× jp¿¢z8ržÓæ¤?<Ä  áÂÖBc2â -ç)ßVÌcn9úº[æËàe1];¦ úà|â¾n³,RL!Üe~ÏÁ)ôâÎ8fD<ðê5x\º5ø’ûÔQÅ^™ó±BÏ%ÁPRo*åWÍ´º¤eY¹ðMŽöel•jª—muøÁ¿7°rsÖ'¾VèÔŠbÓøÍŸ´'¬Ûi¹‘µ4(`¡p€5˜ ÷Pi 2èÁ'­¿B"g!Â@ºÒa–­³ô\N¬`e®±=§C:$"ØnÀñ—BR€ ´|Eq˜©¾`ÄÇž6D ÁXd ¬vìñáò€”ðR©§¼ëÿƾø£NÕ×1ä €ã`³ìSÑxבåýƒJëM¯·Y¥lx˜O*Pï„}ùVÿù!è¦ÀŽ¦PbÀ‘Á_}öžˆð’ýH…ÌÚÛ]­©4ÙÓ ¤‚²;U­w-FÕjk²¸ržbßF –ï혂;ÆÌəç‚P{fø¤ïù/1ZîIc…3!4ÎÏHµHÌ ùÐg¼CU¨ªœšF 6P]©Ô*T:>ÝZšg{ £Ìµ+,Í‚lµwz#1YàHO–e:KW| ÁmOK–ß'>ŸØ6|HºÁœv4üë `”'ä‰3[9?ª…†ëVÉö3çèà†²R×ï£9˜I'Šµ²¼‚!ó8>ž¼ð¯Ñx~”ÌH~7DÞÂS‚~Hú€kGN%þ³Ñ'Á+DÜ:óbÙ6íP¡£²Í„5"ÓÇ`ÁOT—*KpõÍ ci—Ô³§„©ü§)ÍÝnvŽ7V«l§"-UŽÁÌìj»»ï| qÅkíïÅ‘ßóÕ°ÑÝIÝ`‘4e´ Ë;"]ϵ8Á°D—¨ ;fÊ’»ý›x|Ì;içÕ‚Šz˜™ÂÑñ²,K ©U¬vQ\.ÆÇ‹5VÈ:ìu¤Lï[ÓPDêmö#Eqç[„aì(W͉–t {îÂç2ÚªBÀ/©Ÿû¸1@öáT×b‡«£h1ò^=â‡hÍÔøg–Pö¬óëö¤A±gÒ–@ÍÏ;’® Yß)¦Oέ‹…˜ßÁBâuáÇ;a àbN—øU‚f׸‚ Z–øDðäSÅ¿îÖ´Ö‡b]÷ à®ëùKÂWÇ·y“˜Ž-c+8Û‚}çj}«h.hDI„–¹Èù ·12µå¸ÉW‰Çϸv‹µ·-Š§¬­¨eÝIÒÙ9v®¾¡“›j¾÷„ÓÄþvÜqd„ :Bg@‡8þ<óö†É&=e:9íã%bÕnÎ"uV7þ¿»2{ùm?KÓwÇÔŒÙqòž1"}‰ðtAúÄ(0¥?¸*Ò°Kúù ³Œ)j­áÂ{h/Sâ/$9\ž¼ª¤8SaýÁð.’æ,gùóiïÊ鲸~Я¼=¶ÀlõåŸØ¦ <¾ñ€“v½P'ŠŒ+¯)?ûµ¶pcUeÒ_kéç%ô,#©6–Û´»ÍXu¿, Ï,#¦ ½Ëb?êBÊ€Íö6¶œHjoxÈë$C¸V\#ûXÔëEѽF”3˜é§R2ôVt+ýþEQ½"GÏ3ùØ”k`ÍkÔã°êÎlarÀÀ‰j«ÐzfƒÉÁ#µþ亱…î®Ì©ã©Á’=h¥TUÕ½ÌÒaÿ—!¹ âÓÿáqHš©FQõX¯^X¨ Œ¤¶0k|‚ߘÏÇ;ûß?êÉ€áO^nK(¢Ú¾"ôî!Üó¸a‡p $Lñ•Lp™Y»Œ¡Ç-½ýÚµÌ VÑ´.Ú‡Zøc<§\œqö®(7ÚH¹­í¼l¸\? o|Õ›s O¸H㶠Ã+ýgž€7_™y²ôÐÇw9‡B(IlMö>5lýÅ&ËôZ{­DÝÛLiKl(_ßk -øwîÇl‡Ö‘ð¿é”´RhÌàå™1n<•l¾7öBBþdRéO_€‘ ZÕ%ŒÅÝ©†@К³¶u¼} À?Q¬ð Γd ³Ë±TIc¯ÍÉéCœÏó´7­,!®á½{˜ZYªªk¦4(u¶ÊA8ƒ§D/Îe›}Á|Í—ééÔŸ+ˆÝ®@örÄù- 7¿˜EáÛ“…ãȈ5öŠÞ&†úÐ=e¼ô÷àf—×úB^RtIáDžè`9ƒ±%{Ü6Ø)á—åmWªèG´´Q'!šŸ„^(Î*s̬%d%ù Óã(PXoi¹à0Ç §ó$˜W¼ B¬6yÖ¡ «ÈHÐ’ÄY’Ã`«Ñ¸“ùñRR¼‚¡6àý€Áo×´Ÿ–¸¹ùEå*&¡{Í r—yÿtv^íé;—:þç»É°¾¥Uó‚±Â^ÕÇŸ,Í\—bövoÄ&7 ^óœ¼WÒh1c\ÑË.{>„l”KYÛë"Y– ÿ1zK¢ŠÆ¢JR'Ä2 °§]¦®ý³ÎÊÝ¡µÍ÷ñtšèpaN%Tžˆ~ 8î0èǦ§ÒägõP˜Í¾õ¡šŽ3,èÑ’HZ)»7C^4/ûÜÚ|•ˆÄ<šÌò¡D‘pdÍI±çê°b/J†b…pj§”Yú+ŒFÝn :Ŷ]Š¥h³¦fs™D°—¸Úƒ—Æ!IGÒ1{Çlæì—§éÊpš¹ {ô¾·ýW3‚ð‡éTO?gÎï&\ˆ4ù4©JµT‚Éwe ”Þ ¹Ö¸>l~<ôzXý ¸s™ó5|¸`ñÝf¨A7ï.Å0ÀfÚ’Ôx׊žng*Ú­MÄ„âqCg-4èœ?žQ£Æ®Ò«î³ùÀwÝ™D9)^½H‹?tjEÐàÃȈ¾rùØbÞpψ±ÕuÄcyŽ{š0ÄÛ壬Ónv‹¡ñj#Sl¸( JøfY})²—ìQTظ…Hk5ÌE°:ƒ2†–Ùb óì¤È ¾‡Êú‰äUßZÅIã±a(Þû×zu»«ßõ¨S”Sl窦ôÏ+’Ý%ƒåH*³âI—(ÇžÇ ÷!Q|kÌÕæi¿S”k‰k0àgýHMó]èFÒ¯#èzepý8­ñÑ]j f¸ð·Š½½Zk_„‹ùMƒ|3³Ù•¾áµŠ'“ô‰7*Q,Æ)€¤tø/$‘ge2È3OÔ#iÕÆ¢öõžmÓÉn™ðÕô]W·!`¶Eéñ]/ÃÁr ã³?^V²Í0z¶%{ö(™[ ðFÄB;Èâ€EäQX€Y~›žš]ŸìÓ–¥kO›§À¼õ@ ì½}CÉŒù7œ(TNt{m+¨ùrû÷¯‰µ¤ÁDíús¯ïéÛaæ9‹ºÞÆ‘H5MÍcXÿ;×د»Fb[«µë⸣M/&i#C¥¡Â«À,WÈÂòíÂþFþ΀1‡sYiÉÄ JT —€+O}œ¸­›ïš¿Ø;•¾·* [0Ù_š¯ýûKP|ûÂA³Ù—E¬TÛ^ŽM{jÏçl^j©½âíjx`Û㇖yוaÁ¶sÀc´Š•Q3çW\I!/[ë¯/É5ÝõLšá¹i†#Ó|C¦c!{Y+–ê+hph'¿Ì|Éò) ï.?ë |×dYù˜üÌ–)W½ªÙ«õ0aRæ\ßl·hUÑÿ-ÎW³/¢£Þ”œÊšÒí$W†E>ujÝ8WÓLh*±Dtã;…"BØ·c2¸ÙAþ3òÍ…t„3}öÕ=XYÒœ…j…ˆ‡§i0*îÅv'Ä>ëÔëŸ!f:>¶žóRPâÔXu1šý’Ï^ƒ Ù‹&OøkFÇ–8úùVÑ ÍM ½¯Mªˆó¶u*•‰õþ«ò%æ’4„-eØYZ!ÆÅa¢Óè¨èøß™z#ÓŒP_?F‘$»ª+îí I(ýþ:ádÄi>uoxò¥¯šS#Ì/ɱsbì¨{ÞK8jïäIMSFï\t™º3æŸl´·÷M¬ éˆMãmÿhq4æQX÷ ØŠ¹XM¯ËI¶Š-‰Òà«P»M«©¼ 5Ìaî5­¥-½ô>¥‹ªˆáãDb#¿Ån¹õrUc×fà2ÝJqh“¹Ùcfåjº÷ʈÿ*‰"s€wÒ|5}Éwh? »Mœ[O¶°t?ï‹7âÑ" ?Ó:%gúAqÚªRéôžûï.î€Z{1\C]'6Gð Äʨ½çºlÿ›Í…žÍªgë$@öÙa h~ÍŸðÎh‰œ«¥ˆ.(àÙ£æ×vÖ- Îg1dí(ï1MY6Ü*ô9 OEõÿk‹¹oÛ¾fSÝèˆ|ù×[‡‹,ù8×ñNHø£òz½¼}}Ùõ—mB8¹ŽWiQÿ:à—„kÃ6$k úÐs ûÑ×’¨{3H·–ôz°.àŠçk·xêû¬žy=…â%æhpöqüas¯ñJ[^Hé‰Z»¿’ݦF;À%ÞEßpbð¤×|Pïn±a®ü¶ú$Ê3jdÝo{[bCu$|åooP¥f=xÉ·?bÿJHTž]`rDlJ¨Åg„Ô‡þÅ[7µd™ºt¸šþ¹1õñ÷¯£YrF/caÇ•"ªÊ'Þ®ÚÕ—­·/7r ’'pýO°(Ä$‚(>t¾¨1¡rr¼Ó»7¡žˆâHþzagšš„Ð’¹-¸; j•½pû%ëD˜°ºZÆÆÊw7 £ÉyM;C£ë™6uVãCú €ðݪçô%éñ´Ï')Îõ3dî¿çñf…mDYEϘÉí©‡×»}vÂÇêùÚS \lT±RÜniý¦ůq”YaU$Åô¹7LPA«Ìþ ¦0AúY ^k)z‹™ì1pd%Z°„3÷ GbO€áÉ·&¸Þ¹Œ„,¾ÿ⎨dàâ¼Ç (\Șkg¬ž¦gsV¬^2ˆÁÇÛœÅ>´Oߣ”[;õ œT€¤¤;Ìã£à )òÌnǒȘqôçˆA=7¹en'…§)›Z *]Ü'ÎÔ#EÈBi¯ãÂ#f-=µcãBŒ=²¾|<¡1–†~÷˜iì÷[<‹ºo³¸XWÍCkQ<÷.»Š–èñœrÜîþWxH¥ŒÌg>ÓÏú ®¯ ’}\è›d€»…ï2lAÊ­aÚ°yåõ*(AÅg@ШMËoÃZnÉK'¸?áH|/T'Ø¥´ý'MÈüCÛXÖƒšÛ¦àqìƒ!ðŠqÿy§œ&°°7 ˆ,¦A)8Oe1Õ‹—:ÓнveÜ÷Î>Zûˆÿ·ö¬ òCwdðOY [)€«ê?±<‡"§x1rt4òOa³ä ´þìahãgñ„ôçν]=ñ²zæ–z4P;ÕÐjÅ'L%•º\Õëz¢b‘É_:ÿÅø´ài)Hj`~*”Ä'€7@A )&Iï„Sê¼ d.?*McÿÿËš¿¤4°±XeŽB|!eU¯Ëªxý â#f†ÀÏnù–ÄŒ¯€cú®'ÜW§†jÇD⸀,f#¾)$„ú¼^¨«ñˆ~.jÿgÚ|ð¶ê ôs=æ °±^à¯Õ5e/x®¯èò,Å[JóºŒv6C9~dûW—r’3Ä’ž©Bu±6¡M°‚c³ÚˆqM=œ>‡[å•È£µÝÿ!ÿ‚ÇjÚ—êÍ»&2_7k&à endstream endobj 166 0 obj << /Type /FontDescriptor /FontName /HYIGHR+CMR10 /Flags 4 /FontBBox [-40 -250 1009 750] /Ascent 694 /CapHeight 683 /Descent -194 /ItalicAngle 0 /StemV 69 /XHeight 431 /CharSet (/A/B/C/D/E/F/G/H/I/L/M/N/O/P/R/S/T/U/W/Y/a/b/c/colon/comma/d/e/eight/exclam/f/ff/ffi/fi/five/four/g/h/hyphen/i/j/k/l/m/n/nine/o/one/p/parenleft/parenright/percent/period/q/question/quotedblleft/quotedblright/quoteright/r/s/seven/six/t/three/two/u/v/w/x/y/z/zero) /FontFile 165 0 R >> endobj 167 0 obj << /Length1 1697 /Length2 9195 /Length3 0 /Length 10289 /Filter /FlateDecode >> stream xÚ´TØ-Œ»»ŠC!¸§Hq+Å’@pw-Nq·B¡¸[)Å …âwm¡¸xtfîÌÜûÿk½·²V’ýéÙçÛßafÐÔá’±‚Y€ŸÃ ®\¼Ü?73³.ÄÕü—‹Y wÀ bÿ ƒƒA®6yëcœ Pqsðòx…Äx…Åxx|<<¢ÿ „ÁÅò wˆ@ ƒ‚]°˜å`N^pˆ­ëc›ÿü°Y²xEE…Ÿþ‘qÃ!– (@ äj v|ìh rèÀ,!`W¯ÿ*Á&aëêê$zxxpƒ]¸apIö§ˆ«-@솻ƒ­¿ ÔAŽà?™qc1tm!.Úu`Ö® 8ðhp€X‚¡.nP+0ðØ £¬ ÐpCÿ Vý3à)௻ðróþ]î¯ìß… Ð?’A––0G'Ô µXCÀçªÜ®ž®O ¨Õï@ƒ ì1ä‚8€,þ89ð\F z$ø=K8ÄÉÕ…Ûâð›"ðw™Ç[V€ZÉÁÁPW¬ß瓇ÀÁ–×îüs²öP˜Ôç/` ZYÿ&aåæÔƒBœÝÀÊò…<š°þ±Ù€]‚<<<¢°3ìii ü]^×Ë ü‡“÷·ù‘ŸÌ `ýHì±?þ`ù¸€ÜÁW¸ØÏçߎÿFX¼¼+ˆ¥+ÀlbýSýÑ ¶þ?ññ\ü.>A^€¨ˆ@Xà÷ßUþæÿîX5A¿ÎÆóOAe¨5 ú'…Ç»û ÷¿TÁö×Æ°þ»ƒ:ìQÊ`Û?Ê7æä±|üâýÖÿ)ÿ²ÿ]åÿ¦üÿ=Ðs7‡?Üløÿ?n#ÄÁ므G%»¹>n…ìq7 ÿúüç&«­ nŽÿëUv=n‡ ÔÆáïk„¸<‡x‚­4!®–¶Jè?Sx,ï‚5a.ßo €‹—‡ç|ûfiÿøž¸<Îêøqþ»¥Ôfõ{ïø… 8ä…Åó(/>AA€ïã‚Z=ÿP6È …¹>¦éù¬ap¬ßæ•~›þD¢ ÆßH„çQh#Qaô7â}ŒY>^Ô?~Ðâôè·ü <¢Ç þWþ£Âÿ$ >Ãæÿ—Ÿ´ù>·ÿ^¹¿-«„ýÓá±ßãËû/÷cË•ã]þ…@׺?–rµ…ƒÿužGê®°%<ÀýŸnÈ ÿÓÿ_ó°tƒÃß©?6æqXÿÁ<Š`°'Øknf)jWÚqU#CíÁµõõÙ$óÖËtv.Ÿ9x§Û z {uvð üB&eðÁâ†Û¹ô<ýÏÖôˆ¶d­ö[ß_f‰Úã[íX³cdý£Å?dêûh1i¸t¥·}ïœ}õƒì‘[»T˜óÝDð4 ‰¯˜î+Ò¸ìYÞPÉ©—ÉcÏýš^aÔ‹‰Öþž$“V/ªçÙª×a,…à9©Ó›£í<½Ë–b–žŽ¶2â„`ÖT®Õ¬wu"Ä)ã®Ê2žÃELk ‹6ôÚÈJ:4âÚÝúz«ûR ocÕæÞóÙkì.p“„éö 'SÜ4yŒ&°Kµ"—Èa¬ä§ê[›®Ûgå¾;Wo‰‹¥þñ Ç)î\¬"ÍÇ·Å«s¾YIS=t‘zÅ–#U+…»xƒeSkÉB¶™B¨F˜|s+cy tô†«îzg™ëš¾Ììú-xŽGmß*rh‰ˆž±t€°vÞ“©Äõ¸¤‡šÑ ×%e zÅÌQùúhÆ õ6ä¥É¦Å Û)_R¡‘G~NçK£º«‘Dý*eÆyH—À–~@ ý.À–DÓÁý ñ'`„Þ‹ ²›@ȃÍðÒª•CýTïã9Ž’Å4îÃæ—Ò!;“y“q[¤¤ƒ-q *Xx¡²8¯‡?3U¼M×(‘bÊ$Øð)k½¡<•XGK»u÷•8BŸRœÛ”vu6‘\ŒwR&¯d®a£38sOÚöãmEt¨©~1_ˆH/TBˆ‘šj’ÜMÀ™y³Zëxf&DzÊšJùcŒÑÜžC§‰­êIn¾ ö,—Q7›B後 ¿‹*˜C¦ðûbÑ0ªá}ùg—õñÇ˱òcnî…kIœˆO‘“'Ù’Z],­Ô©žU[?†[½¡éx]‘áöre5ÖÎ/¹æRîB„œ£`èéNœÜ6v†ùp:[Wêø¯Rüb|%®sÇs^,ÔÏ3<$.œéñjÚŸs«MâùP¼[Ï”áÞX$UI¹÷¿RÿÊ©’Ö¿QMÜ'Ä’Ï´Ÿu› íEôÑ ÿr´JrfWí»™‚pA±ËRA!²5•ç]Û—£‹ý8<õÄ”¼ò:P› ˜Ø3Â×Á´ÿƒ‡è›uíÄÏÁfˆãCv¬€5ТJýaŸ•*ãùÅÂ'þ­NÂ㓽ڠ ÛQ™ŒÌúIÓR"Q÷¼É/jtVeG×–É*1+uÆôà¢7ª“ÔÛ mÏü†°_V Ú؈o²"39ŽóÑ‚º6E·óÉuªúä­ˆíg{¨’,˜jnôÂËM]SülÁ‰ËJê‘ð^¥Jå’§ÍèB¬«%”k£„…õôáYX¡áêß)æ=A˜Cº¹ú[\ílÍ *͆¼ V0;ËLª½¿-Jãn |wMŠ#x…0ÊŸ,¯Ú hŸSÚÚ«t¶ .­ÒÁwJƒ vmFª5™“_{Þ[}ïJýè™?%sgù£/}¨m´ ð×+«%¶P±Ü+X¬•yda¡ŒÚ¦EhL8´81b¯Ú%É„±±$ªßÁ†ep\–V‰¿›j!hE<Ρ¡€)˜€[«§k{C¹äàÞ%ÚNmÆŽx=E9Ìä$—•Ùÿƒ–€s˜­E-sºc^óVÿu’†SÁЀ«¥œyÛtþ:OV\o]`•ˆàûW2l}¬{I‘¼*™Øì8TÕÄo&Ÿ A¥œââÖ@΄…ÑÆÕ×ßYÙ¿˜ ÌÑ~ð{ñª š³ÑjFÒÔrYÿµP?‚a¿ëÓÏw$Ä”ìï!Èà€}}ådž ”ð-5DDVðžc»?4ÍsÚ)Mß­p‹$¯ù Ù–f"Q>_Ø7mÎ}a¿*—$½*(´g\­òêvêYkxIî¹[smÌ!£]øÈ`Æ è˜ìµ‚×ù”ü²ÂIÚxš&Î)èó}vÔ†H`¾ýç‘ñ üèc ³^OØEmÖÉfyIê£O=ƒP…¶`ö€[Ž·Ú[ÚLËxi‰„»Å›<+˜ç•(RO Äi›AÓoÛ¨.=›+mí9 Î!à0}îGEÏ(…£I½×È…öëÐ?•Ê±ÇßîèMvÆswý~}Ô‹£YntcÖW…ýqg†ÁÑyı´Q‘3¾ÛD¢,èÙ}xËÖpaüµ¦@­h3@U0J‹hëhÔICa”¨¡í.%ÿ%¹¥Ø;Š]âpSm§ù¥ú©ÝË 7dÚóUn θûíWvŽXáÑ™üy ‹G”¢ð¤ÐT±Ì=s·^†:A&ªzK”²k=½Œ_Câþ~ eø-„WV’¡ÑŸ©0†ð†S¯qémÚ> £":èý‚¹—ÜEçqÖ?Ñbö~ÖËT¦‡€è&ÑLª"¤­˜v1Ô°8áYOÎ|~ÝÓžW?Abòþ™¦œ_è¯E3¾Å)û»sb–ýHØ{âàZEáoI¨%Ê©W1 ÚûO‹ÝwæÈ{8=©·;®‘A¹©Äüj®£mÜô ¯–{ÂC}•üN®6Ñ~Ë‹¸ÂÙM‰qMoT]¸àŽ¿T&§Ã¶ßMæQ³¦ò™Mº}ÎO‹™¢ã¡uò“¯å9@¿ùqæu¾ ². ,Ë–á—R¸ˆãÖ&È“ÅC\AÝ JCµÕóÕ8)ãlÕ£ej€?›‹ˆJ¨¢†&Ü5욧=]]N™ÂÅ¥¨D‡fð%µ²Õ¿)BÐCÞ¯\f'Ú¤…;=ó Ÿ4ÃÿœÁ3¥4"Éö¥Áíeçd‰·o–îpƾ²ÚFµ5ÇJQ¨Ð'Rôa˪yS‰´lmÁw.*Ž-5üÙøÈëÓTÞ`ý·8©ÍÂ`Yë°|Êœ´Úo‘Ð!>›JŒ ¶ØlaˆùÔ6}þX"¸fâ¾}ë!‘¾bóÛÏ¢øµM¦›¦‹­––ªYYl~è4Y`îãsÏš•é‰uHÊ™™„õ…\⧄ë·$Qõ̹îáe%Úü%—œžg‡.`üšáõaò‹€b^•¯åï8b¿Õt½S5Êhîuá°´9—žõw´·v/“Y  ÇÅÕu2”Ž7% îG. ͇;5Wð5¥k©VÔ ×;}Äm&³’Þa×6é~°•š7r s’bÜ÷,JãyŠâ±-ó®?Éj^ÄP^wS—UÂgÝG¬?Š#ïÓYNÃ` 4Î4h?ø¹\yäd°-ø‰òFtò|Üt™KìE»tCÚ>#ß©q(RÄõŠ4.&—;QAÈgbYùè¨ÅL²‘?Ü…žiŒ"ÓÕ=6|"ì$÷>¿Hµ”¨DE¶•çü‚ð÷ž«YãÄSÖÀ·Ÿ4ÙçOÇJsá“„k/Ãœ¾1åcÓèùÐrÅ4•ËFQŸòb©œçó3 ±@æþÎQVé¨Ëk_ù÷¨'{Ú˜Ö¾O}'Ô´oš¹Ìc¨W«qÞ‰ m«ÝøöåõØøŸ^¾¸•Õ:œ°Á:æЦ‚l¨2ð÷=’›[ºgB9cœÎ¬æë Hâå ÜèI s±[é,øÔÀ•¸[Qàoß®V Ú ž"­2»i P¢cmÒ´|¯4…É5ü ¬OÈŸB¨íFéŠòRj&—«›æÎLt}{ÇÝx2¼W_ªEëì<«IHF>…R#.Q…LØg]gÝ÷Æb€§bŸîÆöN_ÑËÍ<Ï™µoZŸoìÖ¹+/]n"5c#h-æ Ê×N}?½µ¿rI-´•lÊ4KÌžӬaó·cÖ¬ où<(‰Õ¨øÒ!E5h\ )#'b³ñèúíÊRâ;–îh[·s–N:Äp&‚˜àØ)æ›8QKcMœ'ŠlO–qúÖ˯ïÎÃ×öQ?v“¤L x‡¡ÐÄä¥q>IÞ ¤n!™o )×_WŠÎH:Ÿ§lŒåUœÏ»TòŒ^…ß±§[72Q1ˆè’ÀÕ㤃VÑ-W_—ï,†Œ,*ê ¶D3Ñžôñ–«EŽh“òÒhÓ™áÞæ\Õe4ÿeþd„ÙoŸ˜mÏ'“%¹ÅBbZ·´K©í=þÌš0j/•ýÊÆNf)™Õ3ÂBVÓJ¢z£Ät"îé$~Oûô–ã,¶ Cb-‡DU-P§éó'¤gjâ~´F Úük72|œê!V?ž¬»#<ÂT8O2:äÆ/ø:i¨®,OM»ñi‡Þ–‚4¦È—žèèÅŽ¤àÄknA¶k7¤“’œèá!œí^ÓÒe¤Ë¨9qc²Ó?^Ñ·t¼9Ç|OËeþ‹0&%êMâñH"CI)—ï»sm}5¸¦¡]ìe…G˜*¯­2ö€™Ûœûâ×õc2–9Åñç€ÈÜÝ‹†x(ï–-ê=¾ÖÎY d„^;n’,kÔ ÝÏ…Sx|òÐpãP¸Â³Gð´ŒÎÉxÐ/šê}¯ôÉY¤†o°x”ÿ¸ðëÉÉ·€é¬³Âî L4ÎÏäÒ,øщƽã&s,^®0ª/—8Í‘‚z~ò$YÇw8Ä/AÛ'±äcqœÐwåàbÇ5§´„[SûZ(ÏŠ6wIÖ‡s^6R#“‰øÐ%:ÊéÍ6‹7k¹ÞSoäUE®”Úõg6ø¾BÖ ÿ¼-'AjýIÛܺ‘ùbÉ@x7_·{mÈ—¸àþ™•DçˆnIÚüžßÀè(}Æ@§ÜˆÒ]!eÂM—[o—*K„á¿É˜}PöÓ V›€1‡râ'^lF.~·åêçR•<ÉPʶtá{2fëO]&÷i5„¦oð yŒú—âaÍ+bÚ—ø'ƒº8Ëî)Èe®1³Ã!媾٠2å²5ÓÁOø¹×Í_hÉ_p¿I‘Ò¥F@·`Ó¶áÔñ¼ŒsÝψx‚†Ü¨}‡•ò()Ulã½1ñýp}15 ˆë×>ö|æ%V-SzÏÌï¥R1/–Ž“BþA[§9—édž ÙfQä•…i‰¶ëýìX½ºÆeï×Ѻ.X£wR·?µEÂýã__y¯lØß|ð ›"Ôa|›ýÖ…ø3`—¸+ñm¤"Œñí\K/ˆ 7Ä5ŽíBjÀαÆÂÉпœ~ò²«Îi¬Ÿ,wZ—C(&ǯ,l)•X̘6>÷5Sɧ¼¡D\Šq„Ma©w/í‹N¤Éy¨ð‰¬œ>¥_Pñ5+˜µpìœášI7mÈ Ö ³¹Pç[ %Q©yàÜ'\(K&K€ÎxÄwÞ6%-ziÊù.¹Ôj%ö'ÛˆŽ·@~5 '¼¶Wò”9;Ý‹ÝnQ´°Œv">Ä Ç*nõHŽ¬¼(õeëÓ«jy aØ2ëQDõp ɉ}|n°aJ…—Žî0Oë«cm\‘szÜ%-kR¤Äa.}$þÊá㎠Ø"ë´3Dæ¥FRBa“¨¶Ä²Ò8Œûžÿt2m «¿üu€¡-—¬ï©Cù*{·Db¡8¶cÔâQ‚¼·‘RTj“¼–”ã¿…¦±¶ o°?ì81AªgÿZR¹elO’ç‡Z4:W§ØÈ`eFj–gñŠ| Þ^"}wë‰éa4tQo”ŸÊ›íùœA9XAdjÇKÞ ²&_ÖÆ›ûŬԠY¸ ÓûÂ'–qljÎÜM.¢Õцç'D!W{?.1Î ø½Hd^_ž“î -ŠÒï6IµcÔÓ¼ Nݲ¿Åy±œÓz¾xkfn‡Ý3áq;k~`zo×Ä ¡iÂI(*æ7† }ïiâ;2 ÜO={IÚ®‹¯=4ôi#çÈïm Ðäí—qBpÛqdzdbý8‚Ÿߺt4HOt¾Ø[3áWIÁÂ舸ýžËÅ9'`ûRÚßWz‹×B§êÔèBá†@h9&?±3¢¥âh˜OC;ìì8¼_I‡¬~ñ­-ݬor¯ý 7[ê™mçPªe²ï4Y¡øôYòF”ýA}»8¦º<šÇhÃtÚ9®}ï÷=[”ÕŸ´gߌr]øCZGL3ÂðâôJÞ-¼U¬ÜÊ1¬ázãÔŸØ1²ïr8XràùðÍêp-¼"Ï™¹—®¤>2©Ê¥ï9‹9ÕUæÃMÇé–eM Ô„7‰†ZÓá®æIû͆ÜÉø¸Z{uoenøíꯩ·ý~nÀ ´í :¿Cz¨æ…7‚•@±w{-ŠA]Œ2ßl&?ëØ¥¯É ^“¼ ¾¾ÓJêfÒç#°Ç`çžkà•°øÊM#\è‹ #c*¼39Içí[tÄw.§F©eêÅ)XXèÓ÷*ms!¯·"êÅr¶^*(æÚ ª¥Ð4\jòج4ÆÐZ—•6z8FqG—ñÄúNž•4Çg#PÖSŒˆIÈb×–uráZ”N\E=<ÑUº¯É†Ê ›êINÎÍW¨èÙ^æ=ïXZ”ƒæWmãQp"@ù‡6åŒx(ñi3vÎ6®ÇÑ“È;{¤Àéa£ªÙïC*hÎJHóô#Î\Œ¡‘“¬äKªi$2_P4írÿ Óò¦% ¢wE^ïÕR?¢-RFßZóAÌZyMÊ ¿Âg¾/É•cH4š m‰¼ªŠŸúC:ËÝ{ýÚî›Ï5¯û]SYªô´±ËXëÅéd}ùd(Ö?“`Kç‹ ‡î¯æL•±¢êÞšo,-)vÛÞî»>øÓ4ZÒK²Êg½ƒa}K•®7­Ð]Ä|í@•¬?Ò¥Ž[=È`¦G"çµ:Þ0¤1ÅÀŸ!¢3ìÍæÓ«šÐy`­JMú‰ØTØè¿_«ÙÒÙ*ø5UÕ&(éò=kƒˆcÌ!ãU4#=â`LKªˆ R«œaKíÙhî£Æ€âm/âDžiîÊž ‡¸+MÄI¶o@U_sêÅ+‹Kçm´ ö‹D c ùY ·ú]Æ/¼üY0¯*z†Èå³-ÅÑ—I=›+»*6¿ª®£ÊpôG¥›D?mŒ |î ¶š„Õ‹­^â °ýíI s±’¥øgDLê‡R^hQyèŸC¿2ìû@~™¡ä{¶œ!ßË4ä·ø_úLÚnÉU|¡ã]9‘\yqsL•cátc;Ä'n]í󞸨ÊD"¼+» †™‡ÆQ„ŽÍqÖ r…@øâBDpù¨ÔLkDpK8ë9?ZÜçôQþdÓpðvꨗrV"=‚p™›DÁ¡¬Iƒå¡n¯a‰~[Ö_L¢pÇV»m€ò5hê’ÅšChwÁgÖÙ¡þ™pÛK¦æ™ƒ›éÞ¯KXMÔsÛ¬_‘Pz.åS5"질‰ei&o1iˆ2˜òêÙóúwóÒÏ®‚ƒ‚l·Û¼¶4™“e-Ô-Õ±‡?æÕóYJY«¾/)¡„Xõ‚XÅêÞÑGî 9§]j3^ÜšÂ~¨?«­å»úh´ÍêtJ÷ô~¹8jŒÄgo6•ZäX­HœgΨ þe X7 þÔ’!¹æÆ?°ï™ YBž¯¸†½¥¢–’·uÚtëÍúµ? ¬¾ƒdA1WáÛa³”NfäY,Ç{DOÖ60xÖ>½HÊXCW>ã X⣒Ã"ýø6B×.$ˆ®•}“ˆ­ëL¾Wкàxé´Xi{½ôŽŒK:¿Z·lÿÝϽ-%3øê:uTÛþºuÁeºUlãŒÌ-­xï.lNƒ’• î.Gü;Ñ•å¹Ì{·,Dý—邬öé,/’‹‚/©ß»«ôÊ$!x•6a-Ÿœ¯àâäÞö+ Í² æ*ì±uݶ%žÅŠÞÆhãò«ŸLøþCn®ïU‰íToFùW]ÜĶé¢0qË€Ÿà@•¹³ ™tY/ÏXõg*M?³-¸ “³ $ï§A‡õt›v¨ËÆZ‹zàv"`YhÙ;Ãq3qá¢@J#d+uf¿7ºaD)Ë•Õ¹õ&”គ׵ÛWLÊ7èF‹Q˜©øÇ«OÉ4 ~²å-OaðWü•¢˜s¿Š].pGß­EÚÙ=|EYÈýÎç–ÊI8fdh$&ç‘TŒÄn!ü Tü¼2Hiók)jéþTâ æ±Cní¡Ö s†äÞ¿ºv!vUŽ[uèH¯dä‚­ô˜Ÿ°t‡†¯G³¦+àD³ÄÈÚÜÆfQùļ÷5Y_Ãô ­Y0ëÍ,{ŽÇ¦ò›ÎVeî#îí ¢ÖX¡ uî²'¯WQÂ03*{okÇ€¥yïuVD9Š«}¶Ž—?™ÙK< –ÆdhÅ=?Åß$c=}ƒÉ0ò"‡ß;HuœŠtÞ °ÛÓsóר<ùF.<®¿a.3‡­á¨,]AWçLSÆ‹èì=õïž0‰lü?íÔ+ endstream endobj 168 0 obj << /Type /FontDescriptor /FontName /PCORMR+CMR12 /Flags 4 /FontBBox [-34 -251 988 750] /Ascent 694 /CapHeight 683 /Descent -194 /ItalicAngle 0 /StemV 65 /XHeight 431 /CharSet (/H/O/P/a/acute/b/c/comma/e/four/g/grave/o/one/r/s/t/three/two/v/zero) /FontFile 167 0 R >> endobj 169 0 obj << /Length1 1666 /Length2 9850 /Length3 0 /Length 10914 /Filter /FlateDecode >> stream xÚ·P\Ù-ŒwwhÜ‚»»»KtãÜ5¸k°àÁ%¸Cp·à„„àn!á‘™¹3sïÿW½W]Õ}Ö§{}²ë4-¥º«„5Ä( »³r²q¤T49ùÜl\È´´Ú wGà_bdZ] «ü—”+ÐÂýE&máþb§=œÜÎׂœ|‚.ÿB\Òž k€ @º!ÓJAœ}\A¶vî/iþó`°bp ð±üápº‚¬,À w; ÓKF+ G€Ä t÷ù¯ Âvîî΂ìì^^^lNnlW[QF€ÈÝ  tºz­¿ T-œ€2cC¦hÛÜþ”kAlܽ,\€#È v{ñð[]/ÉZ Ê5g øOcå? XÕÀÉÆùw¸¿¼ÿp¶°²‚89[€}@`[€ ÈP“Ufs÷vgX€­Z8ºA^ü-<-@Ž–/œÜ +¡°x!ø=7+W³»›Èñ7Eößa^ª,¶–‚89ÁînÈ¿Ï' rZ½”݇ýÏÎ:€!^`ß¿€ lm󛄵‡3»äâTþËäE„üÌèàåàààà]@o+;ößáµ}œ(9‹_øû:Cœ6/$€þ à˲¯›…'àîêô÷ý·â¿2''Àdå°Ú‚ÀÈÿDmþÄ/ÍwyŒ8^fÀñûó÷“ÉËxYCÀŽ>ÿ˜ÿÑ_vEE%Uæ?ÿ­“”„x|Y¹¹¬\¼^Àÿ¿£üÍÿ?Üÿª[€þ:Ç?À6€ÀŸ^j÷žMÃ_Ãøï ª—Qþ™|c^«—/ÎÿçùÿÃåÿoìGù¿MþÿHÖÃÑñ5ÃúÿÚ äèó—ÁË${¸¿l… äe7Àÿkªüs“U€Ö §ÿÕ*¸[¼l‡ØÖñï2‚ÜdAÞ@ku»•ÝŸ#ôŸ.¼„wê7Ðï»ÀÊÉÁñ?º—}³rx¹OÜ^zõ‡ ø²NÿRl±þ½w\¼¯®®>È/ãÅÅË ðå|YPk ÷“ `gCÜ_\/ôü6Wäß}ýÀ.ù[ô'°Ëüø¹ìZ#>»Å?èÅÒêoôûäìÖÿ‚œvà?Àncú—ú%°í¿à‹Þî_Àþoã—¼ÿ‚/‰þœ/‰Áÿ‚/‰!ÿ‚\vçÁ—D®ÿ‚/‰Üþ_Jáþ/ø’Èëø_·òpu}¹ˆþX‰—nüÿqëÞ@+äÕ%ˆ•P˜}CXç}‰ëþ”È<í¾^&#«ïªk—Ç#:BcmnÈ–ë­DÚ§~Ìõ=†ñ5ŠŸ¾G›"ÛS4:~ø=™%iÎîw ¯ÌàO—I4‘!‘²j‹õûéâ§ìûºG‘ö‹?ºzνנœwãPå版¥}¯µ¯•Pž*çXßêÄ—-ÐZæ-RÁ»³’!2aŸ{c,ÜÜÎcL?S(&1#û¿å.õ5ÜæŠX|³Q­ÍåÖKDCdHH{ƒ=1Kç+y®H°ì[þ>³mœ«è§bžÉq4òŠ"%ƒé~Ѐ¯ý”R‚ôñív 70¢küë]?<âùÙN©&ÄدzárÞ}"íN¤ÔOXlV0˜†·=~÷‹'Š³eÙø Ë ´ ŽîÍ1ñx®¸È ‚º†ù•‰þ,ÞZ+%}Ýç¶E2CÑ®üÍ’Xè‡[êóbirkEï0á>«gñucläô}Í55C¼ìì Â~+„î"|·$«­²ûcZ·´\Ef‡úËò¬¡\WªÕE¥vþNÆ¿­ƒ‹@ž<6Á1~ÒoÍOv ߨ{ÑûÍð“Üô~º=½ÅÞàƒ[&ï]»¹Î-žÈf2¯tg´±dá|iþ¥sn]‚Ïì‘Ù?ÈٞŸ 3Q: &*²-,O[‡#ízÝq¡,Ú‹–#ˆæ›lcÚ6ð$¯±¬I4 Ä…+—žŠ±„‘öjÅ¥Ü51ØZL­ižR¥Ÿ;Éå1’Îï4bW÷›I@!à y×ʀȌÙdl/çšN¿åŒE«»}‚u²­¯íÌ>]ó–ÑJÈJ½îõ/¢±M·ù¨ ^AÏÙµxOøÈbПË© †¢í4훢QØõ¯}§ó·¦óþ«í7ò.õc:ˆÛtl[@ðeŒÈ› ŠØEÇ«$ãa”Ÿ¥)I¾1r£wc1"ž«¬¢ŸÐp±Gž°ÄÛb­0³L&M‰·Ç㻚Dxß]¬xΗÉåÑÊn²¹ðUû"-nd¬mÎ"ccŠÜó¥7q0§Y}}LÓ4ÚqS÷œH1(‚¼åÐe·Q»òýˆ{M×ñndߘ)x½[± ÿñu;(°æ‰V8#A¯V¶Ë$B¡núzˆäá5Ölì”›åtª!Ùä³gQóžl½YÏÔöˆj[ëVÐÐHó§¿ÒWÐ)…Jp (G J^Jë«ø9<×é¸u^Ÿ&Q9 öLý®\^<Ö‹Œ´îtÁo‚c]ˆ«^#ØÅðð É©O b!+W¨#;­í—uB½Ó$ã]Z“¯>0öK<¼z@¸;¤ Úg*ÕËåP—ŽÐΪBi\ “›¿Z×^ =ËøâpÏ·<°ÀZøþW/ì¯f5›IÆzXY)~¶F4=ßÍݹ…÷§á©HÍ8’õw1“á’8šDÎÔvðXè‡=»Jf[‘7=*×·«~:Ò1›YU‹±L“'LC«ç}sêÞNÝùu®ä‡x;±üÓìúcÚDx|]ša’츨^÷ú\Áwzcº±õ€öPÓ;;iÐáeS_0—B[¨Üè ˜³›|qOB¡[©Gƒó¢îÇ«ÍËÝØñæÎYóð¯€âñ‰/°qÏÔô$ðÆe­ùèk(ÎS‡ÕIŠ¼¼Uuð¶o`ùƒmåäk¢¦¥‚ãWç¬5…³±Ê o!NaDówH+n®Z®4Ê-x¨ÑuœÂ†„2ÞÙÆ~Z–8DóAh#~Ö5•uZ)> £~|¼‡+Ëv˜`»=û±/ýž£œpƒG\_$h–Ûê²ãyƒ¿a¼iѪÿÞVvé]‡.Ž×›.Ö¶ç4czØb¦¤m(]B(Íž]îïn é¿{¼z«ñkè0âY‰P¥1×Ùr"««O ºÍ#%ÚMÛàÉN¡x;Ü)ÜÄz£_ø*.6NÍÌMåMB¬È¯â·ùõ§D4!W æeß6ó>è>,—šÓà°‹¾i±ä[ÍÿIoÿMž%š´9àù1»×ßͶ6?ÁUÂ(®WSL¯ªSµN+4sµ–ÎÌ!"ÃXÉĨž±jTl+âØÄ´¤µuõ0âÕ™kŒŸì¨¡·àÃôÈÈâýàÌQ† 0¿PVüaÜ ²W²;ÙÈjÏKÜv"p“]T¿6WN\­“xUŒÅ|Ì$QŒþ5@bØ3Š}hZ%£ EhbÊzE¥GQ|nU† IÕY[¦X´úr\Òü OÖÅÉ.|ßåݲ¡ÿ,•]Цr©¯¼GÕ+Z‘¹QË. šmAPñâ53˜ q)Ií¢x°‚lö„Û[¶kÎvL›¿Ë¨¢šò7!L¤ÀJ‹ñ.éÕ¢_åò)8Ã=_¦‹¯qí»wÚÃ]j”i-œ4]ÐN)ÖK- l\*ø+÷&Dku×<Ú)eo¤”ó0(’¦ÖÄfà°•USðq8fØëNGµÏ5~°xõ©ò|ÖÍôþŽ±Ñ–š¾<꺡ŠQoqx%ÕÒÞœE1û4-ü Éáo´Á—3_HX»cü±É X6˜våÅ=«ýnGg‡KçÕ|àø¨Â7 5—ƒÐ´Õšuóp”{!ôÙlGâÜ,¾Ò×f\*"ztJ4~3Ëô¬“«•§¢P¹šõw~,¤s¥½3ó—Ö¶WíÂõùÝÄGÈ+ý×Qš" 3¼•FuœŽ¹¾”ßyƱ?$égÄD|ÏRðÔHÉÂf-2mþÆÖËØ™"bl«ž[RÚzáÃxÜŒI€Ô„%fÔmÛC;“ò9–*ú°€ã8õ¹æ2Næ”à·2«®3øý ‘!d?(Ãg5"æí_˜¤€EÙfÔù¢þ™¯Öìv*42±ó_îðêM‰ ¦ù´û·Ì‹*&ý¸±t<ŸÆ0Z^‹ki1%ÔõKc³fBOÈvÜø[û‘þÉ.²dç»Pxñ†ì/Ï“óD„žŸu"Õ…°CNÖ 2~¡ø°í÷Á`.Øë/÷ms–!Ç­Òîè%9Gaûr8#[/ÒˆgSÅ 2 ©%p|W®•§´†ô÷©æi8lWFè 9¶ßøˆåm—¯v«T>áy²î­™Ö*KçXI`ƒ[3ÄÄštQß:VÉQåMJ Ñô–ÃWºÃ34kÌ•b#'Ïñ¶DljW]õÚL?´]g[MHG (t¼’Dœ/º3b—Jº³ÇV£¡Ìà4×ö¾rñeùµ‘ïXŒâS/=ãÕÎOIÓÑ[dÃ5»·fhé#DÉå£0¢·Ž¡Ùöcx3ö.Ôìvq©{—+MtâgèùöëƼœ/7å0X¾!á7y&tD驺aÕSs½ÖëDªò©­AHžh™ž¢ Ó5:¸´…Ø̤©}ûýFC=ãü±Ò‰¬û`N¹–e”‹˜éÑ ÙõŸªb‡#Ÿè­ÄÈÌ`[Œ=Ѭ¼´…&ßØOêGµ€l™äð)NCñZÀ±íðQ öÎóL‡&qÃÖ`ŠW#Ø TÌv®öä“øZçŽÖVçæõê¬óœ$òÕš#‘W³J{;m’ØWÉ5`x•Áù¯Ù§¥ÖHKƒ¯M-ñ÷úuå>ԹгNÑð$ Õ2J@³†²wRÕ€ÖZ¨@zÉõÍx,HžáÛtê%>·'w¥bfØÑŒ‡aFÙFA8òéùâ«1˜Þuai´™Ÿ†¼&ɾ5`àUla§–E¦Z½úPÓ ‹(Ñ$:¸˜¬‰Wš0*Е!¥Õ¡Ò[ß~óM l ýNQ7wtV˜XNM‡ÇÞº¦³Ñšÿ“4é¾±ú¨¯µŠ{W0C½%cTµ/ã†Ë¶ªr¨F³·ÞÑ%¸bð&î,LlqayaÆ2·C¾û QðãºS$ÒJføŒÇá4Jg3±ü>+Oý ¤ÉûhÐæ;ŠÒá÷QK8,dã&:~Y×¢’5¡˜'Z2¡^[!"ŸáhìŸ7uNé9|~}‘†(t| oo^hB†®ï­Ý‚<ÑqçøÔ÷ úÙPt‹?Æ *Â0 í•ë Ç9mñÞà}¨‡:¨:€÷0M9‘ƯïûÇnºÈÖõhWBáⓧaŠŒ,|{ô'ÛhÂï6q߯ôg¹v?°»´84m7I¬½ê™Ä4¬"ª¤Û‚,è¯vûPµÐ¢8®UsËgá¥Äš?n« 3ÈÅ6[Ë «$íÜøu¢ði{ŒÙXê•ÇX[í•=Ç”|Ž9FSocK[¸«Ý“z7ˆïXœÊ§ñ‘Å‘CE7ò 9Z}œœ “a¹ùgæ#®Û)å;4êno¨†òÕœõ²ôG@¾Xµ±:Üz²÷g\ÄP¸fnHS¼ jTÞàÂOW‚ªùÒ‘ô õõbŒ²æ6ûû²Hdû$¶æ³°Ç%çœï­]ï*­·N^Sö'å{t,‹˜vÍÍÔAQŸÖ&Ã{¬2Ë6fK*ƤC¨„J?RýJðЫ' ¬pÔ@åŒOO_%â ZÅÇo=oXOÒ½s4f‹ÞãµÞ°¡ñÊy[ƒk°ƒî(5|t_”•°k÷–*ö[rCî¥P£E¡›JõלH{‹cˆ<¿mµò¤"Pt;Sy(1 €í|ƒ˜7Ù8– Eæg…RT£¢AE{÷¢yéØ${“Z·W•¼ôåøSçÙ€þ&Š¼lÝlîupæ¼CÝ䢭ùµ½[Õé”ÝZe5 ÷DD"M”ÛÌÏàæ¦W¤y%Û¤¶ðê<Æš©*ÔÅ´»Ô߇baŽÔÎOBŠ%+ ‰Ûã³MG®{PÌ·@ä’kI·³=¾˜Prmòòáä­—QÔá9ø,ùŒ–Bóô7D„q üÝàq§XÜØöV¦OÏß÷©‘6‰ÈoÖí’à,Ÿ²z´ŽØr¾¼Q€zfIï0µp}ÓRbŽžNþóõ»ª×I¤ `©³Á­^|³þÔafÒF‘;ÍæŸNÛ˜ WÉœ1ËÀšjË¡óþ©àÙˆ·Ÿ_EO<ªëÐÊ°¶àq½%u)ü UÏ­¼GwhIABUèqÇ pÙ¨1–’ÔeáÊs˜÷]í¹ý±þ^B‘šÑ—¦KÙ±¥ÅzŒý<-ÂbA DCòS*DÉ:,VŒ_¢˜ †¤ñ†£·®‰ ³ð¶k³.…ƒA“Ÿö½¥Í›\4¼lÊÓ»d+?·=TR3(¾§‡õŸé9•$§4º`<)î¶yVc‡8½÷Œ¾Â°nj οç—Î;­Ö´À˜q‡ÍGKåÔN¡ûìÇŠQ kQ£Ï¶"iÆ€ŽJäí§uß‘24\>9ÊFR0÷ë:>M²òe·¥ö½2Èa—¼5jˆÊi½7wÚ)÷!±pÎúr;R&ƒÒªR'¶¿“¤Ñ?‰M 8„£FV±ÄÑ “8½‹•%äg»ßˆ£ã´‹ Î! ŒY—¯¿þ5¼»jBðs9Rp NŽüØ$í’º{ÿ¤RŒS¹ q¬h‰9•ýÁT;g¾uÀÞær¸i@sSÖEÏyªL 0*jÍqL•¨l`½žÌÏ›ûFâ]øƒ@¾›˜®¦Ÿ0†±¤…á°ÀHC/X¡¼G©‰½Ñâׂt²³ù3PŒé¬×óÝgFsu÷ ^~óMÉ+üˆzNŒ‚ÅGÏ@ ??§ªÍ†‡Çi;ëkñÍÊ[»[C@ÈŠ¶]Ô»Œ Á¸ˆ2°¤£߬½X‰Nx-'½Æ¯A&¼T±?]eHS´:+•d|`F7é´C4ê`dË&ÔNÎfŒø`íl¡w3ŸÎ´Ð|ƒM:Rw&±ÍF[$®)”ÅIª¨Ù¦ÂŽ-Û‹r­(Ë {^žsT.Ófxó'áçe’;_=%«Pü„ÕRÄq!¼tJÕ«Ȩ̈ž]IúeþFW¢ñUDÁþ°IK@ _´ ¤å"æ†{HõìÛptʪ÷Ž™ºMþÎÉh™ü­)òâdÔíS„°¦I™ ¥¼ø‰›âtϤÔàmE÷+žÒÏ¿R< døQ_y¸h]jÜ;ÄÂYÜëçühí”…2®‚x¶žÏ‘H·ü¥IÞì,w3ñ„ÚoÀømiÚœbe®ç¥-Î)+9Ћ鰑{6 &)–‰ðÅJKÍa’ÞÜ6„Ê:§c8¡Æºý"´ c…/–ÒÊèy×JÅ8fÝÛL£¿¦ À‡p™…ík jkùqîk } ñ€%|]5r¨ê¶HSqPŽ|SOüÜÍsö²1t‰AídéQù¬ìDëðe5õJÝö±ò“Œ²ï0~’ìrI1.#î Ú9ÅÉ ×ÀU\ñšRíŸ!d7Ç—% „\*ù#è•P¾ ›ö²e¾2oï¥Ç ¯W«ÙOŠ'µx­fóíª¸B„²ÔXtÅ̶tjú[xmºÎàg' õf‘!Wû4{6ÿŠ,5µÔÅC…‹ô.Ÿ˜Üqk±0Yz]ÜäzgÎ¥s–Ì’^c¬™¥“"äQÒ&m;ZQƇxvóÖ:a)¼«ç´û hüºÔ#©R2s$×}ú¥\;Æ86$r¾2ð¡ë-‰.É$ßk·Ö7 ™f6¼´uîªïOYCÓ¨rS¢M1ŽÇ{ÃKBèùWx+³{’–ü¿Oa¾¼`xÌZÑ÷Yz­IQÍõ¹f(Œtùxâ>±+ZúÄ„Y©¡‹WØãM•ÂEƒçrVÐJáŽòêC°Ì/‚Ý/oõžjï˜ÄrV\&ý$Šé¾m¶íþÚûÔŒ­ùžŠ”˜>\Ë°¹kúAû:‰|\yxB&Ÿ› F+å"¸)üÙòÇí÷ ÊÞª¢%·0sÁžÍƘ’›Ë øPuV0‚e÷xÝB èéôÚ„.éPV6¸¸ä\ùÍHXçƽ©ï‚WXÂñÌ{YsRhÎÚ0Á®Ï—Ärãx59Ÿ‘c)ÓÙ’w×Dµ Ôc+ô‚TD«q¶›Nc}b„")Ý„b\¤—@áa“ƒ½¸Ÿ%Ìñås 0جˆ= üE°WÎÊnÃUi#Ç‹‚ÆuŠÃ/’üšˆ ®HBG‡eƒF&¥À!Ú ÜQ#©µïmМ݈Ý9ÄÑ¢¬ù°“³ pi² |*b" ¹S¬¸¸I¸8J?0g=ÂŽ¶ýü­aw]çåb‚Y˧â+0é¶Ò3¶Œ¤0]WT.myIÊU8­ßÜ<”t˜ÇÞr‚ÚŒ"zÌ°]_ß^W´~¼F#IŸ©=Zõ6Ñø´)y¥ã|³)ñü;Td¨ä9kþg"ÊEÁ½áˆ­ý­S[}B™W=–Ë>„8™°íQñnø‡’ž8Df?å¦ÖJ#iþmè:ñR[¤`_Ižäí~ìç4æ—•a©JfpÜO7¯)q¿[ñ*Ç#¹ìëŽb¥,é]y\N…ÓÜnó §ö©ä­â¿M¥}Øð‡»¸ŠÕåÝ'¡–i°ðrêç™ìIVsê!3D»¤3P7¥Þð‡WLµ¨—ëÛ?Žº{ÍK!úhZ¾n¸¹+ÿöëæL­©³.*)IÞkÊ”ó»ì )ŽZ(kå‚&ó£ØOvévûHƒ><Ù+ã“éFVžt'ÇÁ«³Ñ-ãð-;1X·±‹ÎX§ëså»Q¨n ôÏ·%F‹Ì2#0¹S^'¼ ôz¿;³¯fÇ»´1N²ëÚÀ7 OÄŸ‚B¡«Hy_J3&³‘¹—¾þ@Õ×4Ç í†@ÙΆ¤o‘ éÃÍ‚V:$Åásm¡„EÖ@>D’ 8¼O¡_]¦uÄ°)„¤ó vÔ¦óêŽÖžÉ:åï!Ðqgéß&”‰sÿÀ‹õ5}3ÔçÕ9—à}Å:EæÇH‰¥®£u(¼rr¦‘£J«/ Ö D_ñ0áÉ$V.9Åb1|†ŸBJ¥ø) ^Oq u¦ÎXÈ6Ë+þ¤T$¬ŽxžaÑ™ ßG/äFfã€ÑvÍk8‚õïe¦7< t?I,OÇXKïdáˉAïòϪNÝüÔ“Ú\zÎ&hr¢5l<~ÂÛëˆ:¿¬£L®[Ïܪv8Uß¼dT‹J@[3¾Î§3ãÑdt„Êrlhp8ŠëùÅÚñ±ßŠ]zY1]Αڒ&ì‹?'§©[*áõLªã]ùUSz^–ïéüÍÔ˜Ðú^Û&2fpb!z·ùfÆ€ºrº:iZ¿ïÜÏ”ä`:jÖíGà!Š$îY ÛSê-}dñy‚„ ÚÔ0Q áI-Z|zéhíç†ò¢Åê‚ÞÛm9ôÐíÆãözt…¯xvfÆ5_/NjqKâ™Z¿íΤsÝö„ÌÏûÙí!ª *oF?nw@¤Wçç9¿ÿZ±RÄ7ßÂÜkÎ0¾½FÞú4‹*™!€ }m¤QV¨3+û&£ ˜ ðc¹ÓaàgIEýì`@ª¢•ÛÞî {ÎÊ}h]™XúÁ¬Í÷Ò¥=Jads"ÊX’t{·jÛG¢¿™/»ÃË †8ߺv‡C))„åi¬rÏ&{üP€ZÝÜEof°à-]¿Ë„à eÄÍR4˜ålçzJ(ZØüU&JA’¦«Ñv»‘DNfÊËRü&is•)Õ]Ò;îhœõósšQ› ¸i“É|çIÒµI$Ù„JELŸýÙŸîÌÅiv7Ù—…«ÎL>‹ Ñ­ÿöãF¤$Å–2 ìŒ1É¡jûFÀo„œtn"e2§7ÖWÙ{4Šè½óZ½‚ÛèÉ* 2ââ`|jÊû0gé§ \ŠiÕÖí,ÙQEÓŒBS.>A÷YÛDfH—39ÌEëªÞô‘±}Œ§0Zgqjíà«~Þi.­ˆŸ]ô~Ê?ýÆʲøïðbfãB09;(«u'`å‹ÆÀbã¸ð\F`\ˆ¦XÐtTH")‚©Ø8k=ÎUëƒ×{/Ö)†"‚o¥oÔ.éerøVhm~©v¢Ñ7’"¢GE¹Ãt¥ý¹€Ôž7Ñ&¸î!ësœèKw({¯?Ñ´Ñc 1«ãטöܽõø¼¾gÔ¬êÁÂ|_'¹‡››äeÀþ¤s–Zsìüò·ÝÜ}ÔÒ²ˆ°3J$ Kä•þI£Î®"ö •ÛiÏ´+â[ÕѸìNEca“DȪe~~ª´"w_n…/AÇV§ÆRÔâÓ‚”¿?~žâ•h–À5^áðäJº§¥Ÿ½ÿITˆ{õu'N”Í–j¶Ï~j¦Q/À‡ÐäUøjB®ÆúN‘çÎ$þl¥YÄe³Çfy]gô ›+ÉÍÍlð¶}Ü:ªãµåëÎåœs‹ß}>÷qaîÉ^ˆ»ÞìÇ"\d¡›qrÀGï}/ÊÜmz †ŽõiƵx¨ÇQ܉5I.9Å>×,ñ¬Ðþ¨6$ª‰Àt™:qpw’Ê[û«éýG|¼ß›P}1îzÐg¼Áä5Õ–TeúïÚÃ{¿Ô†C‹~y ð³5¤%{BFÞÑ¿™õDÁWZí$×6c!É‚¿ë²y˜¾¯W^½zè„«øÅ$݉¡ Âüå±=ν'I.ׯA»|‡±ｉOa<Þmþfºó-Ç®ztÃÖ™Á9袒çù•ðÑ›Ñ_§ñÐýóéÜÏü݇ˆ¤Âò¸aÄÍ–=MT^: ¼£Q2õ¼‰ o¸¯½naôáç­Ý÷$ņò-“vƒŒ¥µ—5P¥ÛK)µ úE.6ÎxÉÒ;¾U… Ù×11-žOÂ?]#ÔÈrÍ–ÄN³7 §yÞwš•CÅbÇç#Ú )ÝGm±'K$zPÛÆ™ƒÉõ¶³›w™á>éö hE·RŽÅ2p—~äms“J ƒoÑ-ßЫÏ*‡ê¨XvPÍ*:ªùZ­Ç¢­ýês²è1VáQ –ÿjr-ÒEÆU»æK á ÉJk@L[vÐÛꜱ†ïóœ¼îZ@ĦÜÀ·…§²~Û $œ,¾é+©& £‹Š$Ïð_7WþP™F #±À=_µiw©@ו¨¤Š¹¢—˜‘·Áw¯¡ÿÉéÇ“w¦,I ]yóAžFZkuâqïîS…ÏF!×mÌY(À•× bÎ'3ªð:ĺý¼éÉì]`‘dc¿Þ±Ø·´+ªºîÏÑUìù;ÆðYlÐlÐL9Zrú7ܽ ¢ûOûò%j­°ÈzÕÌ·¼½ÔsWÆœt5¼ü³î"z1ó&ÂâaÝ^=Êhíh´oþ!õì:تz×pÏ´5pæ?¨LÅÃ!sx¼CɃó©Ê°`*Jc%QäÖ½üæ0s–j’Uo¬iu·‹8=§ê$H°•K;¡®Ñoaÿ-= endstream endobj 170 0 obj << /Type /FontDescriptor /FontName /JEJKNU+CMR17 /Flags 4 /FontBBox [-33 -250 945 749] /Ascent 694 /CapHeight 683 /Descent -195 /ItalicAngle 0 /StemV 53 /XHeight 430 /CharSet (/B/E/S/a/c/d/e/ffi/g/h/i/k/m/n/o/p/r/s/t/w) /FontFile 169 0 R >> endobj 171 0 obj << /Length1 2633 /Length2 17098 /Length3 0 /Length 18617 /Filter /FlateDecode >> stream xÚŒ¸uTÚþJ§ Ý1tÃÐÝ4H×CwwI§”4Ò ’Ò‚4Ò)Ý”4¼ñœ{çþÞûã-Ö‚ù|;÷Þ …ª‹¸¹£)XÆÑÁ…(TÒPÔÔd€@NV …†FÓÚÍü‡ƒB£vqµvtø—Œ¤ ä¡IÜ ¢JŽw;;'€G€WpüÿttH<¬ÍJ¬G°+ ¤£“·‹µ¥•ÄÓ?èÍìüü¼Ì©ÄíÁ.Öf €ÈÍ lñh²h8šYƒÝ¼ÿǽ•››“›§§'+ÈÞ•ÕÑÅR„àiífP»‚]<Àæ€ßi”Aöà’cE¡hZY»þÍÒp´p󹀂µØÁ¢äî`v@ü4ä*N`‡¿…ÿ`ü§<vVöÌýGû·!k‡¿”AffŽöN okK€…µ "£ÈêæåÆ 9˜ÿÙ¹:BôA k;)Dà¯àAq5’ã2t5s±vrseuµ¶û%Ûo3BK;˜K:ÚÛƒÜ\Q~Ç'eí6ƒTÞ›íŸÛ:8z:øþÁÖæ¿S1wwb{ë`íì–—ú„„ò‡f vp@>HcÁΰ—™Ûo'šÞN࿘ì¿É<ü}TÀþÖ`È_Wàæâö÷ý7ã ;;ÀÜÚÌ ` ¶´v@ùcB[ü!SàbíÐB†üýóÏ'CÈœ™;:Øyÿÿ«Ñl2êRzzLÿ$ý[BÂÑ àË°pprxØy<ü<ÿÿ5ôO þ›þ_TUõÂû—Ay GÿßY@Ê÷ßL<þ3ôÿÙÀÿzPv„Œ5@ÿg €Ü@3È/öÿß»ð—Êÿ× ü¶òÿc þoL2îvvIÐÿWäÿ%²·¶óþ d°ÝÝ K¢äY‡ÿ+ª þ{·•ÀæÖîöÿ—+ï‚,‹¸ƒ%dàYøY¹xþ&[»ÊX{ÍU­Ý̬þžÿ¶âÁÎÚ¬êèjýû°°ÿ·)ÿð hf 9d\!Mû‹†,Øÿz•v0s4ÿ½‰Ü<‹ È5nn€/;deÍÁ^M9€ÕÁÑ ¢€dè°ptAùÝZn›øoÒ߈À&ññØ$ÿ >›ÔÄ`“þñl2;€Möâ°ÉýAœ6ù?âOñ‚øSúƒ þ”ÿ ˆ?•ÄŸêñ þA`—¿]þÏáhæî)›Û_÷ääü/þëÍ{ÍPçÍCmêC;nkʼn=Yv¾söò¼ýõâNÎ…g½Å óU™À¶œ˜+ÿš/5GJuÄJ¤FV :ü=±t¯§-¿D'+"vŒ\Ñ1kƒ²À«ŸHôçÀ^¢ÄX‚´’Þýrg•¿tiD$Ç°4ÂqIoõööUˆÉ* «‘UöçøñîCNUäìÔf†º¤€6!i¨ _>OÞÑ)è¡~>¾Á®îÄ2™ë“@㜠—Eq«ÿiJ¬[Î+Ð5ö…ãÞªóXt7sqtÝÞ%sñÐÍ¢"lRµ° ¯^{4ÀýkJ‰”ÌÜÉGÛµ|œŠ¡“§Èø c¨ÀÜ«td Ïà£b+¹ÓxŸ\Þò£¡ ži9ú³XS_¬§FM¨và>*Çá…çËSGH.hG[È…‰·6þz±KÜ‘áI42n$DÖ}œMp[GG ÒTЪÜÃ<3£Â»ÀªHõL›¼é’œø1MÐgŽì¿Ù˜Ã –ÑÔçë`oy¥lÑ-Î ˜õMyêýì©Ú­ñoWšdgJ,×ñ9žl $óç4 ¯&|n§NÂ7œX€Þ#œ) »?ŸV`W¡@ÇÀµÞlÚìÕd?:9{õmZÚ¿U¯ê¥B|”Þ»N¤Õ,­ …It÷n Îü­Ù‚>Ž‘ùÊSԆλ4>“ïã@âò%à,毸ŒEOçµ#V*ŸñRUŽ0D^—„³`í¬ûXb»srŸuPZr9 &½M"vé 2ûU¸“VƒPê ËM€\Ó|üÅ&û-U@ONó^ÍPR‰=Ï!;­N%+›×É:ÿ}…ë}:‚m‹8ƒ+ºámOƒº®Ñ4­ÍšW ÖᇇeÉ\­Ž^q} ×Ò¾ùÞfæ–‘;rbÁÊ Š[nºæQP*Ooˆ5À#uo’LJUüÝl¢\™yt\”6A§G=)a8XÒøØL¬Uù+¿°8«Ñú6|_Á¿²—YÄÄñYƼOç› Áçñ˜ýG ¼¤DWhäTlƒÚ@W «uB)j†FðÙîg›“Òò—KåÎÖ’lÑÏÏ=ÜH%‘±®Té.ÂlùÐö£V1è.úcÓæ+ó¯G#±/ë5q¡üÌŒ'aäÄ ª §³ á´¥$Wf‹ƒä £_j¡“¿ Kˆ›C¾°žïÙn¨å"ú$ôpd²œHŒé^m×G7*«½Na£À¬zŒ¿Ü7—g¿ké©k¼¨*®Öjˆ*ž!¢ÅiÑyQ=Lu+ÃWº’§}+é-ñºç3Ü…^ :¿™¬"»ö¥QA)!â/vªCƒ×¢ø±`2ú.§Õ®ã‹%o„üÏk·ýé*Ëí¥^„ÙÔ,…K\ H#“º7G¬>âŒD³80ù0ïûï<ÌtöîT±´ÞƳ’yhêwïžUÄ­Ë«œ¯ÑÆ©Z’‹.=•m®X)Èp×7jÁ9û¿:JS»ÆÌQ–hÈšð"›${~hÚñáBxºáW’(p6ÂBXñ‘üð´Ádø‹‹;Ç‹OŸîäÓ×ÊÕ_pu@×W—_Oý윺H"“¼•C~|èÉôÁLíôB1³‘!gd©¿[Î@’yÔס3Þw6úüžž‹Æ´äiÌXêCÝ¡$¥‡˜Öu¦÷ qɯåtºay  £‰À.â9m¢:¦š·d•ÜŽgê%~~…¦þT†y¢¦Y¬EH|PÙGÖÊÜy1y8£Éú.ãö2·&"®:ÙNWòŽÇÍwŠÏ’¯«ø“¸XOJ«O÷ÍŠÄ{¨ù'?ª'zD'®Hwö˜# ªb¿ëÀûXØÜn5Í#D:Ú:Ù‡6‰Ü=Â|óÃs爦!2pÈP —¡ÛÓæzÏÝ®jF‡Kpõ‘ìž([1jl÷€õǧ_¨êEÝÒ‹H¼Á02”/ç?úˆyCÎB¨¤ ÏÁ5'Ê’QôÓöEÓw£PP_3ë€>ÁgE“ö¢'{ô%¬ëQ4‹Xë[Úp‹E÷ã<³îäºÈ¤•²yc[.siÏfû%ìvYÓzf™š¹ºàÆh±¾tz´qtÏ ¡4‘ü 2yÔýœ³U‰l?hFSRÆ÷7”NóK9,õKÏ”~lÕT1â˜c̘86ÞÆ(ìp¢Á­5-=ôSÓ5xx=©ßq¢}bÆç3~‹Ñ¼í V Œœ}tw~E~Qï=é´îÕ#ÏMÉRbj¸äÝ#|ÀXäd¸l¿ðv ÓGIÅÔÀ› Ý$²îݲ"Ð $Ùª13ÌL=õ)Ë*"³†%öÔùc¼¦®Èxà·›µCGÎ0}(ßLBì³ç ¢¼û ókú“Ú¾ ¤'ºš‚ ‚7õo£.z,ŠƒE4[Â.sÓÊ_ÍiS;.G©\”p4!YBSÜ}ƤõcŠñº –¾ï©ŽFéÆmP(-¸æ®ŠÍ.5õ¹œ«îê4ùLúdçC/¨L¤“cÌëÊΉ¿¡LY““®áø²oÊÿ–yA:˜b£[¥Aý܈„y? »¹c–a°$ð‚µM6ÏO¸öÈô-ÜU¸.jñPzãóë| ̲ ²‚d‹•¨˜ì誅\ÑXmž,Îi£²¸ü¥>0ó»r8‡ïaqè̆”„ûI_ÆEX9é`.‰W6^Ÿ‰ùµžaš¬ ~6!j–™Î0¿`Ó¿?ÓŒ(Aõ2H8~ꂼidÚ6]PM`)Õ^ª<´Óš£¼ú×#GyE2ª6g—ÙÜZÐjWŽYö lj¸1›w-¼_öØ’|ŸE9è¡`i9|µfµîŸ«½¥{@Z$¨1Îy×ûÙ€±9È<)ºÊ@b7tægž/†‰ßö8¹×E0‡3,™ìqÃfžÜ’ˆWùÞ[Ôn.Ö&?=nj}kþ'rQ;V\Ô5ø)_|ì¹Ù/©êèw¨g# qÇ,9×(ööïڶљ’䌹Æ*;aê™­ˆG¼¤Ax/1úVFÆÎt¦•E_>´Ê¤\­¿ßçz©€(K¶äR¾]©šaZ®Îq"x”SÙӒÄÌEž»˜=»¢ÉÎF`sS©êðš©pó~jAMÇLÉ 5-V4Ñ’˜ƒ—“E›3&h¹3¼WzŒv{e>-,m\™!Á•2ý'Xï€ Ê…X× *u‘éRib§<ï›,ªÔgBí[WÓyVîUYòvÝ醷,k°7]lšõ¾`*3ª+Øib_ Ãw?cGÒ²› =›þ*u#mF}ÕWÿöf•é½@žÌáñ2Iô6¿M°˜j¬AŒi&OÓZIødJvªV‘q®7 ´ ÙÎT=Œ¯àëwy„–ï±”-Òæ«áP$vŒHf&Sµ†Ãñ·£0u¨ÂËŸ2Ò ügä¤Ú+åÈ"’ˆbpR·˜CËüÝØÖ–}0Oã\å<(‘_9åÓ;ézr¿3[ô­2îšwðž¯s60!е_ØK¾blKE@Syíán„ÂM„˜–! ®HgÜ8ƒýÜnãÄ ¿%‹N^$¤|Y·Gö ™ùºÕZ¿êB§rúŒ§FÞ "}VÏ~8Ø÷]ŸþÒöHœŽ8Å@‚U¨f*Í,ÿ Ž5œÓÏ)›™kKT³ê>¼adˆëè…x(vÖwå-éuË›¯€·ƒVù©^OÉc'˜g"ÉúèóDÞoàSìÑÔ3‚³³&h¼ BB<ãy›Tc°Z3ˆ3 Û|¦_ ¿xvKüáöhœÑãÕ)¿ƒšÂ—<T”ˆªùÎ3Ž·Ã}»îPt8,8V~ky[~-Ï÷˜fšé‡ÙO”ƒX¾¤g7ħ!W˜hTÇì|x ë± v_z™á²¾[öMn G\r{hÈO´C“L|ùÍɹ-Á°w·Çࢅç£/ÉŠV·::Íð¹>¾£à퇣ÂÒj ¸¬Ñïc'±Z–/ç"ÈmŸÐ à„õú;PÝ1P¯9‹#´sßÎë]?8 hQå*0búë—´œ;­NôÝŠ[áë‚š“KÀ9¢Š {÷5Ô6uÐ"º-å˜xVãçLˆ¯„¡Š^l‰àE£y–’åÇçûöV‚5†¨§S)ivÉ?¨ž§T§=é]@¿[ó)´C7ïjµ)H;/çÔê\÷?Uñ^ˆÓtÙ1+_/•{¹Ä‰`Áž#ŽŒ‡æ|À°ÙJ=ÁéÚ$žì$LÈò´Üƒe,æj>°Ea˜×m0ÿê± çà” æì—üÖÝAŽ;çO®õCn¶6ìæóÊ6 òˆ(ιÝåklå²¹0é’¶Ù±íÖÝzi|ÿS3/gÖZgå,O´îégè$NN0 |_g8Yeɺ•~ñ.r/ÏJËjÊwŹs]³»XÖ«JóóéÍRÏôu.÷Ä¥w,„úêÆÏŸyq½ær/ë÷ôÛ/r7Áì³sËCò^‚Ó,IkÊñ¬ÚGÆA…?SÀyÔÇÏ‘ "fhèSÃBšÏyø3vÏß%Ë÷%úŒ]*ê‘€ƒ|·V_±ð}çäJƒº¶‰ƒöá’ûÓkÉh÷k(Ê£-ò¥E!úõ é2‹Wók‚Ÿ¬ÖRuÁÅñCîë;êñZÄ [ÕŽÏOyçí/;~ÀÄ͹:âÓ'­} ^¦õ)œ'†ÚÅØÊó5`Ô9çw¾ŒPeú†ëyHå,>Oj½à=†kÿé…qŽÒ0ÿ¨G‹Mž Ü&BÌ òa|#ÕÀG-‚DÈ‹ÕHèòÒÐoá<«²‡…+ýÞÞ›Gǵ+éx}qØ×ÀùçÌ÷$I½:\¾}ôód&b¥_0oâníE/ÅíÜ3*Ö’*Éêšâ\œé•Ôº Û¹p›nSóÈŒ,òñʺe(I¶pUA&p;T+ƽ­/Ÿ Hfçߥ³H-L®M«ÈŽ g¼¥‚[øy‚eÎßÒ Ôk"榷‘‹ÝüE7ö€°~÷™÷Ã]Ô`V3gçIØ$¹Dt6\>–êv›`PèDo€ª“+wîi¯›MÌÝpè·&õÒº°è‚ÅãK¿Zƒ Þs¥5+ ˆšk¸ÖKGT¾Ì·p_(øàªrD<}%q› Ï2áËö œÇÌÝoƒhÃJãÙ:þçËôÔ÷D„šÅÃh·Ñ×Ç7nT¸Cìì$ÓU´½ß ®ˆ3ðÙ×tîGÀ(òN"ì}VÌ?·~Î(‹> ²?f¾eïU VV. ê¼Bõ{"ÚS_vš_jDU4ÌÚ_ó‰” )aP6‹;@’Òoì3e3£ºdúôc^áø¡s|G‚u^¶¾qIëV uEm0,µ¦‚rŒ„z%{<ÍÙã1ßQù–YË6¹žžùÒg§I{ú¾2­*479F,‡ ¼æØ.²˜+ã}déüîk%./üi¤@PIî'>?‹ˆÝ¹©Ç´\ÓÇÚbQñ56B¨]8ÕíY} ¢_.ëés-:‡;,]ôys1N¢vx~À¢®š¹²w{æ*ÿ‹iê¢ R¤[@ itn5&ø£kÉí‹>çã&sMk÷çåÖ|¸©Š–Š£äµC"‡ÚÉ©ŸÒ;s·Ð¸õâGÄ2´`©„ó–É«Ë®IHËHŸä@ʺӡàP{ôFGÎ|™°ðG”\r¼Ë—:âk÷qÁêâ.Ê7Akü•0 U™U_–ö}"%µ[¶PΔn9¾¢ åŸß@¿jN„žcŽs䃃ýˆBžNÉ"Ìd#A!ÿ‹ˆ»bT¬›´ÿà{ø°‘ÿpC⟙Y0ÏSì µÑS³k¹ì ¤D:$OŸðæPlØßþ8ÓÂôý``éÉ[™Ñç³3.ë(,S÷݈q<‰•kenPku7êõ[;ÍTI Ï™G<¹úÚƒŸÕo|¹ì¢>À¤‘E(V?÷ÂP$𺸃ÊLtž~¹ÅOºò9ÊlÆϤǹ‚‘¿ÿÜõNR¬:RÅ °`œ&öÁ±œn\~r ¤g«·$|Û>Eô}¯Ÿ‰º^¨?»¶<²Ä‚퇺•‘gÞÉy冶j.†—Ó|³®ly6ÙCþji¨ù'âúhÕøX£v‰' Œsú¶LL€q¡;§OŸÐóMöN¾ŒçÈ{"Ôê b€8Ã.N©fÿ8©`"¬–'jeü' N^ƒ$¶à®ž¨ÔÝ¥ê~_>™<ÿûoË +¼4¯ØC¸†¢<úƒ7MœßŽæB^—•ïÔvÇ„sH<ªA­Õ°ì}Á&ˆBìr3ám ðâcx¢=¦âæAÀ7Ç#m¥4®$¥ôÄ]g†í4ù$_wµ¤µM$³„%E”±L»• SS’@uìz²Ø¥E.I½½“T4” ¬fW5$¿¿˜E³±§¹°En$Ñ-2›ƒIp>a’(¥ø·-V×I3µBíœB›-ôÂÄüÆE—ß áá ù ƒ¯×>ÆÉýóG|òdzÄU—w­¾“„Û¾J f¼ëþ[Év«koÎ)R:¬³ózîyŒÀnV½Ê…ôEß xRî ¦ð´0¨Gg0ë=Fƒ´±I+ ]ûsdÎ$â¯Åe-c¾ÙY)(œK´R!;´¶ä½Ø‰†·«ë”UÆŠÚ™ÇXYmµ0Þøê2ˆ+8ìk³I\0ñ® =Ž|<±ÅÇÔÚ¢óŠbZ¾mÅü\ÜýF#ƒ}õÉ·ç[Všâ.‘ ~p_±^ù¼$Ä´!!6\j(h”ĸ,øÀbÉäÐwiLÒ}£.¤ çÌ‘¾ë¡šÝT„:û;8#͉Ç\yýä~Žº!´ŽÁnPE.äÛ5ŽïRÔ“Øàë(›ª|%è¥=©V½Ö¥êж±r4ý)IŒêÅ›äÙQ7ûüUU(¹;BqOÆi¬žùt~xÿÇ[hQwCÀCeÓ…aŒîÀgoÝö¼„zÓâ’/¸Y à š¦àÚßÌÅî÷NŠ…Έ[G2"T°>ßÔ¹7ã®OMÎdZª¼–à;Ô\ÚŸIZôtÇ£Fa‘NâÑÂýدŸ˜Íë«õôít¿H»eüѯ®93ºÉËöà¯|Cû¹1aîIØ¡ºógÌÏëô‹Räêº|¥•ÞêÈÑqôz(—}—×PPåJŒ¨4)fóDÙ÷Oy[œþ¸¤ŒnŒ.KêÍÌïØóñµ*Þ£¥•ÒÄï}À8‘½ÅÛ}«ç "ÙŠI'‰6Œ²ïŠî˜1ìQÅü5ÇlÎæ{+OÉpú%Õß«gí°Ò&%Ú"ȯgÕ¥ë9íË›cL:i¹àU—™y²‹3ÃLØ/’¦Ø5–*øØ#¬§7h7¼˜eéýºaä1>¡û¿ûØWV?®S.Cp~p«ÝÚšPÿè»BÌ7}5RhI_^ät² +gñÞn•¦™šP±(lø[#É•PE„w«‹—Ø]pz¶Ùq“ê°É)Ø–øb›-š÷œþµ‘Zãæ„`ü§Òfý™ Áì]¢××iîÎí£h ÁBfSME†C½$ðs¿ÍÍxšO©ÿGb±„Ñqö /F»aS–^.ÜЙ9ËÇ@#ÿ „·K€¹n}¦ÉÇÂì)Û­jŸ;a³þb{YËð gæ·â†êæj?Hµ¿‡±¼ò”Èíèû£Ï[Åp1دo!ðu“ž·ÒHóeÐîhªL§PˆW*OØ•Ú ±ìtázÙéðjå˜x“¯fI5q¬ ïM¸ðDºI°Á*_ήáõT«Ýߺ“|ÅÉ“Š>«Sö]™¹¢ÂÖ‰ŒÂb´¢¼ëa(Ö+P42!7ö;vG{_¦;ü¦+g+쵫wcjq ‹XKÛÞ=ûHŠ;‹G6M—RÀ1éÚE!¨,¿&±·t¦>ëG,‡,&yÞceÌþ^ o 9€¾xtkèî‹Qz_.O £   µ<ý?‹GЮ}0´§öì=6ZjVè^~@L½HGˆ U/aŠËqÉ"+h"Ð亚3\¸×*IÏL}GÚ„`–J?Gßfˆ™QÑÐçŸê`Åáõ맧ù……þtJÌ*™¼­¦0Õ"C‘MB +NJÒÕ"‡H±½  ˆúª¨é;®°ø#~ÏÂ$Š1 ÕLÝK)jpbô÷!¡²×š´}¨b]È„‡L傤JûotÉ©ôrKãV³|Síñ¬dpÓàÖªKOËŽB>‚‰ÓZ-êî3°SGEfó·¿V¬ :*{ÇH¼cÔ¢!E Ç}=#¼n”AøâÍ£ ”Ä1.Ê0ýV%D —hëNo•ªMëtûÁ¤{Á†R¢ãðÊÎpÃ0æÀeƒõ*(‰ ³VÂ3c¾¹Vý“ɽÕôÛïT7¾wh:ó†ý”Ŭþ £Í­ä5©øªWFŽ“ðâŸü]ÓÈgêMF4ØïÔ“1#0€ñwIIzl Ó$ÄsË<(FÑÓ7Žmn«ÛÔ>ß‘QnGÇnÈ´„'`qOz 2»^éx '÷¼ÞÐÛŠ¨”È35ÓR£:µ…+†D[T¬BIñ( ЫÈu™súÙ”USZøð§½>¥Ì}2­?Ö»`Q_®ú¢jÛä…ßÒĬë(ôƒi-µ“îhO)¦&½êíh_ÛÍ/ž±iŒ9(50Ùi¢Å²´‹CIV«³“+þÛywkó´xƒÅ°¹ø)šÍL"– É=´õ… ù -·z ‚ØT“Ö·9ä7 .B>kaµù~ ±v¯[š¹Õ8Éx¬pù 3µ€¬ìEÄ–LÒ‰:>¨é&Õ00°ahZŸ‚ÞE„Á³FÃ$Óºü:‡oÊjæ žÎñáðMþ·`ÍV:O3¶%¼zaÿ(Ö…$É( ÚÆŽyÙýá Žö¾õ¹é¦ÝRENX,1wUÞÓ÷?O^«è•Æ‹ã7MZËÉsŽÍÞ¿óBƒRΊ € ;\ƒª‘G›ÇæPµ¼~'º!S²–¡øåÓpåž.tN¹?õ§U5j½eõá[(§ k”ú¨/ʤoì(øÚ<ó'‹E{žo…)‹ö÷‚+åÍÒ‘¢×&qĺ>î “>=¿R*®ÿü¨Vát»‘xØ46ϨFrÕ‹…Õ(j†WC¼Ã¢%wMMŽƒNPa^I.NÁGlÅ5=¸µæS–&—ðìíwî!ø}vPñ›ï›mëÇ*x»;xšA?Ÿ6Bn3D¯PÑuÿë²*?÷ãË^˜q 8ÏW‡Œ&¥¯Sôˆøµr‹¨Q¿R˜÷$o0”¤‰úáì »'r\d~½Ö})ìûéݲ–)iPJ¯kóŒ¸Éîzu&V*ÿÑa/6>2²ÓŒ×;j³ã§ótO~¸ J]æ…x:çØV(¶+çäÂ(Í|þ9Lo±ªÓ`3\ •ˆó;oJ2 –_lÜ9i›`Þ¯"ÚÛN•Og?®ˆ]-š+a†ª+]ü´Ɇ‘Qc¨š›Ú.Q>ený²+z,ä…Ò;ÅÉIO9ëKL†ß/XÍi£EuÁ7ÿ\Æ^|åµx›‹¾[š¥÷y$l”¯ÏÑ) ;ùB'hù9‚nÑÿZŽò$<”ôZE˜–ûG—€L܆@*˨Z”Âùõ$«Jj6'sØŸæK±‚B÷õ ½óh¸(íR4+=×]‰=ëÆòÁÛùz¬¢ŠÄÙ>”ÛΤľ±×¶#dóywu<蹃dL+|‡Ÿý½ °.“ «Ø¿[±¤¿ƒlíÊR¦=šé {Ñ^˜Ž`4 e™{DDˆB{yZ4»ƒ•4SË?–GŒaT×1œSU÷4´*?vâΗŽAp)÷Éä§ÏˆéNLÒúP^dÜÊÁZWŽJ>H™'ëcyêÈXâe+KÀì×~vüíÀˆ‚2¯YŒYÒFr|\:n#r„QÁL:J}Ð iM¶^³Ä.•Rd zg¼ îh6ëêôÛ ™6äp99déž/½K YϸÇÅ"®Ý½²†OAΗÆpËá¢{ó‘)œp˜ÂŽòÜa§ž¸ßÆ Ú1ék¹|<|g§d_ë «äKHU°ªO¦§/DOV_ÞK…”t€´ys~–mWS’O®_iÖ–jO½–¸Qú ž{ªÃ‚@›¼¦Îl ùRäeâ5Ùz)§GÒ+ý bÒêK”(Ò*÷æÄpB Bv6ˆ—=;ãÕ.ÆŸáy ìËØ”y6ßË™¡ûHÒÏôª®e¹èöªÑV‰˜IIÒ%<ÝÎ÷ ­—*9—çŽX$zê ¦µñ ü=L”•ï¥@É$+±¸m Õ_ÂtÏN…äÎÉ@á…Ý Ò‘pß'¶1zÙ†ïáæZs€¨g ǧô3<‰ÜU\B›Dš"œ-ßÊNY!} =7ÑÑ¡>(À"‚îW5ßéYã^bRч0²‰¯d¥¬4Ø|• Ž˜yKÕ’Æ»:¾1ûܱ6Ÿ‰ ëÚ1OϹ1ž¶’À ][ð‰m /ÂQešJ÷F%ˆóûŽ{SXF“Ôõ!==pK³½¡vR£%Õ÷ñîÜo•½]»ï~[ †ÂzÒ½Eíd^ÑÒýŽDk4÷u¹Ãù e¾R£Ö Ù¦©ðíã.ÚND„nDsQpØ{Àr·Úglº×ýÒvîXÖ¹¤$ÀsÊ_)|‰ÐÜYŽ«µÇG5¯,óèg4¯´Š7x Ú}¡I/LÝìŸIBùìS7•÷ë\CöN”qé‰Äv-ðõß8ÈÞr¡F¯¬. è{²«ô~ä®2&—4ùéq‡‡-ŠüãVÅ Wêã)?¼,†ñûG™mZ¥ÔÌø¬IN—âk³‡±ŠœM5ÀfMB–Ôirp F´dUˆ4主K?ôͶLÐ+=ÝÀÈp\ÊÛu–謥‡bßð¡½áa’ù7F8ÔùÚò¡X®Êxb:Ÿ+.,@š($KwŽ¯LTckbìex„èVí¯*Fjõ3m5\;Ë[éb·öÇQBe´jkÕoàVu^ô@L¾àýàåàÜ¢ÀùWpg]ºÚÇAdÂŲ¶ûí›®‡ï'CÈÜ* ÓÍÜ°ØeS¿3Ç )¹G¢-¤û`Ò.Í€~L’ú¨?½ìÃòó=_UÈ$E‰OlRÞJ³³€m}zrnZ¦½;Xo+Pª`×F–‚&~ Âò²¾¤ç–ݺ¾ Å=1“™Zm' S[6NªÆLÇðÙ ù p U›Íå>z` ¬ªZŒÆ/¥ÍbçoÃ…r|`<ÇzpòŒ½<ÍÞ µh1QŠŸ·‚øÈYüi¯´«?¯¾‡Ér—W(ŠêÛ}Ux²—p¼N<¦° Ý¿Ÿ7ÁÜÇH¶N¢?wÄk}G$&]а0DÆ3§$êVjA[qo9¥Ä£Üf»;²Áˆ<-œŠœH|S#†Ìf½ ü–î ©Jõž=óš½éë4±5³ª]BéUÌع M/!LCjâ•%Ûùëd¯®—¡ÇÙòîƒÂMÙwù¦}ù{³©¨Bàùs¬]Ý ¢ ürQôõg² ½&— /³ç$g©òüšÚ\Ks–­!ì5Œ¯ŽäZ¶/]áƒçDæKwêqgÛä¡ù¯ÅàÞ²XS^á%ßš o·ª¬»÷« àŽÃEúYvRĈ²ÜË}Ò ›™54èð©ó4íÃøŒ%}X¦šÕùŽÏCVBêå>[&‰ô˜å@ ]^(©d?7ùþ Ëv{¦P–›LŽ |Ã&3ÓTÎô¾£Mïúµ¾ÿÛÐvvË@lü€ÚlŒ‡Â%ÕJ LXŸ÷#Oi©]ŒF>Tov/RM‡³D¾†á_ç×äÃP‹7®ç|{qzµ›„ŠAYÓ!´®yéÚÐÏtògÓG á|RúcãSÐ*ÅoVASÔìÉÆÔFop—ïÚúçj[©¾Ô•&xÎkd!ªËÁEÓ:È õÌ·Ó³ígtóˆáá—3S5ukUO¾äýlÓ6´:<=}kEzÊ™V'+Ó3€:âø•`±+ÃýIès›ü€ÝmøF0]­|HÿRéù3Æدî·r«C?£ W"O~vdj|P~ŒtëyèËmH¼é®Ä¶‡’é@Äű¨ó´¦i¨2Ò‚?É+—èi/Ÿá°ŽËtèj(AÍ1·›pc)Íy/l+šê[¶ºf yáÎéíÚmë¯*ˆPHÖlTØŒKz »ûnqh‚ââqsR7ŽŒ¿íê¢/ÛMz“ékN1ÇÞQ=Ì‚—FtØ^WWøòJлE£·HÝ“leË•]ñP\òHgÝÏß&{O¹Ú‰œî×Ì^\õäFëFT]y+LyÌKÏ&\X§*ß©¡6ú¾áónwË?Xy™q¢\V¯$¶­}/eWΤ[LCÈu;?^¡Ýn³X ¼aݘ2sÞ`«ðçhsox7Ì9a£Ö|ï–bŲÂb’H(Ò/Óˆ0l‡½¦©…Ÿ§Æ07ÉŠàÈÀ0Q}¢áoæ×ÁºûZbä⋹­r‘?´Ž¾û{ðžÒ;zqîóÆn¬Z+ñ_E&î˯ áy,G §Ï¼ÆUtë×—üW¾{·} 6Q0 à™aÜ>­æû8ú±klyÓù!¾`JÅörûؾ¿<+š4«.«}P'k§.( †pÚ>­Š· «cETjûáuÓ¡ÆçøЦUt¦3Ḝ—(8…¯£¹‹™ü[6L å8bY%¥8D+RjÍJ5͘oë7E--Í¡N&D#“øÒ?é—Ãp%ý„+4›-©~'ð¦ä®\¢' ée懽;ÌÑq’P-v·bé^¨×Ç‹wa¸î¸Ö§jÊïeN Û¹z;.q‚@½zˆæŠ³YÔaå‘)5G=¥ªÉ+[út 2cv—ÁÏl!7d›ºëP}í¬;XV‰ºè¹¤€``Ù}``ÀÜAWfÝðÁ@¬„Ï&RÐCŹ)ÂùÀ»hÁ†¾ò,l†Ì´öF3RrÙ“cÎ9:J»¬D)¹³êyËãkk\W–jHªÐƒ}èëü;EqZœ*ŒÂ!Ë>V¢MGÁƒ­‡uúYœAŸþAs‹oeã8gØBô^ä‹Ó„‡hbÃЇúCn]?:!âmPHáÖc?š#Ò6”m».ý§i*œA qWÂ,ùOâ¼»âT®_šÑü±ŸÍs½Á„vû+›iÉB AX î!´Šßÿ›‰¹#5¢z$ñõ»¾À³nô3Š&4gß‘Yéw¾í×xu€¨ø ×±ÁÒhMôàP]„¦“‘ôñÝ­xvVñ®žÂA­}FÐnøÙ–CX¸½=Ò<«W¸N÷(|ÓW6e7’EZ$*{!Z§ ¹k(6´±©WÎëëÙõ½K0Ù< ˆgm3e÷¡¸TØѯs9ú]F“i¦²[™ê.ÎźW¤ƒ†áw):Q9ÝÙTÒ¹ÞFtËý2 úŽ’Ò@Âre»°>‰ûO_Œ‚¢%'–'_‡øªm3ª=‘·G#})c³sÑcå¢ÚHæw¼j«vܱ7Ó&–4è'u–ÄÁ‡?ªbø1¹A<ªAÕH- R©ùñ…ÑØU“–t|å5ÞˆÜêîw6YRPÁ²0ª å̛مÑ﮲Ê7Ç*Äî³ÕÏLèuKå"YäáöLfœU.œµã€1ˆmgÐ؉‡®˜ tËcFcúÔµwp„G¼ …àºÊÈʸs[Øâat W…hä|¡Ø—xš¬ˆ |~$uKèõ™ÑšLpà<í”±åpªG5¼ËC5UžH CÕ똟…¨f·ÌDC ߥ·%§éõÇë ŠîFsú>:8Ó#=ÁXV¥ªä­…~»v?Ò#h5Ï¡¶ÐìWÐk|´Î‹ê·®þÎí$°k4Û×îûß %¬Ûdf¶óËæ/q+ð.ϯ?² çSp6}†Žð=¿C[æH/ƒC$µ5õí?¦]½sœÌ°‹öWÉîâ±€—ŽE\nÖÖÃà)Œr”ûPÏk‚äïE-˜„‚¾¹}ù1Þ±*±–Fjót6:’G¡Òì®å˜¶!} ëzÌë IaÜuì¦?ÎÖ™î»Nªb¡Æd r–P\øþ¨NÈáG ~vTð·xDÕò1–ïå†ñfžë×Ü „ÈȪöFÅå[™Ì.ìÿ„e©»ª© ܸkû @êº<ðxƒ²Ø÷ËM½«˜â§ÝŠ1égÞ²SÉÉ}atéÏtê¨Ø™Hu91\pjF+„÷¶‹Ëu™:tƒ–TœVÁ—_­°–›LíÊ¥tX„Œ¯ÒˆŽŽOÍî˜C51[•õ°jŸ);&¨uS†®3JÙ·Õ2ËHÛidH}èTí×ñ¤ TŠ$-ZœèÓ^Á?É˪ìÒ'"ë?ÀíízàrCM從{ûY½o§ìù3½Ü+§$)ʘš‹×˜…h³~÷ÙïbøkîG< ë“Ì6@BÍlÆ•3™ž‘ñǵ7uçÛÖ38nŸß_ª~JÝÍrøX1e£,øù¸ù{¾N-£c.ööw¾Ž6Vàó²”$»% 7”hàšc™_pˆ ú¯®ýª§ïmó¥0›h¿&ܸƒ(" ƨ^ÏÛF÷2áˆÛº¶êE„l;yHÚ„:¬Z@³ØWLgÏzQ[¿¼ñÕÅVâDÎ"[*z,ðÇpPJŸ: jtñî(6if2ÈFÞ’P£IDê<+÷ªßõí'{–ò2:>$ífbê0›DõŸHGh;dá§k ³TÁ 0½—‡—Ó/¦Î»ÅÀÅjjiÉ¡@Ê¥7/8G^¥ðªf_–²á{p#¹u™PcWMÄMÃkp±þªE+z[JU­ýá »XšG¤kTb•|®©ºÈŠìåÆÒ ý¬Ç’Rw—ÿ5wö¹HDoYùò:—º†NËw¤çâ5Ý÷ˆ˜ÆëÉ,µBÒ™¤æwÇæóý„°ÓK™% ½·éOEÜaLÓ3‹¼«J:k½à6ú)ÚìR+œªYP??/̧`éa*ƒ\2e<úçúüŠ€  õ©—º@wÎìŸ}r‰·³låUsôùú>áëhûȵ±ßÝkã o>dpTâ$Üdߢi·Ca_~‚+ÓÓá¿SË }ð1[¿(ó†Û€9úˆÊ8ñQ-t‘·½î½I~™ìn×sÒ ±mp¥ãÀ•f<ñ }@ÂÉ\Û­.ÁŠ©ºl‘ëªrœÊw[%¦Ú^ÎŒó¸Ú I›ÄzçlC2ä‚Ý­iõÚw/û="z9à3ú@Ö•F'î²àÒeàù½~ñ;øŸR¹C¦Úšwž÷%?d?4•`lÏû²•òq9äó4áÜ›»+x>j>r%fêA¬ŽR2yèûê”cKÔ<ÆÄ¢ÿèé¬uÓ•+€?I´yéäØ{¥µ!Ç¡Ïþü,—í=Y}‡Ö¦‡•p@¼d¢b%Cy”ÖQÙü®ˆgÞâܶI ù“%±‡£¯µR¥ƒ“5ô÷ñúlWîaüUÛž„ÆͶ¨SçÔ›Þo:¬ HÜq(SœVRt®èÖItî{ÀžóÒÙ‘ÓÇ0ïrÅÀ§Q$j®w!}H^ÝØKm¼`É•ãÕ )u­gsḻÜÆ"¢‰nF€á b`©’°Mj· _RŠóó¨võ5Z~çKA{_ ²v¼b–îˆÒòc¥¿ˆçŠ>µz¬ÃM;=È:’W*÷2Þâ¯x/¨w®4I6|äŠWTŠîp%¤LÞ„Äf—¡~sRµs\¸éùf7b@^ŸeaFÑ™lÚ(®²³º‰Ô…ï2ï³Öœ’O¹Éi'€NšÖ¶Ñyð7ï¨ÀÚK!"ü]óˆ=ЫIx¸o(hJ1#<·A? í•Ñå%Ï•/3bÓåÃ'Tx*â‡/ñü„DäWvƒ÷K‹Í¸ˆ‰†4k…§âo5œ0ÍGÌioëZ’˜ƒ+] ä¡#q}Z¯WÒYèÏì!à ›´ûôÆ›6‡êR`G¦]›“’$ålžOëÞ˜¯˜îT¬+{•ÆóíG() w„«KÍE©ìûk¿ø1/qϨJ­*h»aèSô!yÉÝ.¸;TÄèé•l‡bƒÑî©ÃºïHkÓšŠÁèèŽ*ª*4¡8ôÕšÜÚRm^ŽâyÆvÕ\ä€_­«¼ƒvGnÊß¾Øb럊éyj°JcX8k ”w£ø l8ÁÞ×óˆÛt©ˆ«ƒD.IH³y¯( mŸ›°™¾6±NrPZ‘¶?¼Ñ‰%^yç•El$ È „m êµË;5RÅ}ÊcïqK6™Øx²™XÚ°µGö-¤û—Êntÿ›ÿ'Ø'ùKCŠï¶-\AaÀÃdº£+pÝí ¢Œ&s„ JÓÈøÚ¡‹ö;÷¨MþcÌHßEujïÆí=dò½5v–ív½;·ê™†|„mŸ°O% êQ+.QlnÔô™%MA€4¿•ª(ñºVç) À±o½- é=éµ£c»™&ysâEŠ=É BÚK„lq½xôH«¨ÛVœçîâñ;¨Ê~%aÛU¹:æˆ'<Ÿ øÉì=ö­Úëš><gˆùÓKü<-·òE¦•E‘6'@Y¸†Xs/j:x‘¯¸~;w†ë+AlAQ7 c¹Eä’cmvž“¤Wáô–Í׀͡¥Þ¯šÊgn~4ŸíQÖqãŽ3 óh‘ˆ’d åܧïö“•Å„*ë‚î‘ÊÂqôVøg)±Ë~†ÛU;¨óPÃi \ÐCš‚aL ŽÃ¥ëdk ¡9 eØþÜÀ»¸á¯I˜úV«QE—½BiËÓ`›Ié$ôxÊ’¿=4•+·p¹@>ï?Ï5’ßï6‡e^^aä>w΢« ¬Ü—$õeƒ¦ã.˜ŠB3DH¥cþwÕèæ;Ul­Ä¢9GÓ˜E…oêÂ#Ôí9GÊåil·ºjt ‡°D.ÉVéÁ|”U”*££ '#ÌMEÎ[-£P¶½£×?_Úã®S4tùµGÝTD¯—ㆄŒñØðP@䜦hž­¯tq;ö@ˆ@yõÛ½R9Y¬±ÈfÒü‡£‘¿7$^Û ¤‹é¿äžØ†Ñq~iӗͨÚy*!#%kíRi/Œ}z\¶Ò®8„ÿÕEŒµjK‡'óþ³¥0:mП˜Š¸9žú-0Õ§«°˜¿êãöz\)IŒÈSÂÖUûã£_B3jŒÏæP^$ B]þŒj‡‚Jë¢5 ëŒÞ—j弧煰vþ›Í‡*¶À·'^2¢Sçâô¿9M&•¡ôÄƧ¸Iå˜i2và¤×±”Y`ØLRéîm ‚ôœL3*忘1¯Öµvo¯ut²’æ×8ˆÊ’•}ç…¥&3WïxÕ¡*[°¿Ãµ”N¡¾e È]ã°–÷ƒ^·¤sìyÙœq¨xJ”ÑÝVµº&Í(­"Ÿµ1ÕßÐä`-éôüòLLÜד”£ô[»³ç³FG+’˜Šq]]û5}j±Ü& w‹)ÙPÿÈS|¾Y“}§© ‘ì÷52^‰˜$CyÍ•¿Gò5E Ç Ð7[ÚÕ%Î8G:Ùô B÷…ÈY¢ÅséÊý cL%òPÁþ ?¡«A^¿öà<À‹ Ü~ÆW-ÚjsÜ°RvÏmÂ(\KNI˜%\)Ñ^I¦÷1XŒ¬ˆ0kü¥õéÞòaS–ΰDg9öq£h¯¥·³\ â<øf»‚°_2˜16üº?ΔTÎ jš3CD!M½vø{…›`¾1a¼ÛÝȺи;3˜ìÀR~Ky<Ñu¼ùéöQ€ø¨ÔÇ¢¶ßW´áé¢s8 ô¡µ}jºªEP¯àcàb¶kÒÇ¿Mn3uRÎ<Š y” Oœªçë¿g…qã :øb>Öä9€’Š2£Â€õ*}õcWãáá>ÂMRä–úR††”¦ˆp†Æ¥+Q<_ž”ôøè´øU$Ž: ÑÍÐrvèŠÛn ˜ªÅ.cÿò-æÉ$=Ðo¨/‡án qŒhÌ‘JþpöU¾Ýßæ+`€p2?!bÊ¢âFÌAЮ{Ø É+(œ ê¹Xi»¨8)‡(Ò+ÇÝöÕA!â!ê Ý÷%«¦%`&P· Æša¿ûíß cöà˜t_9 Ó¶f)3×CIû ø (D$6àö %ÚìÏîÝ7‰ί˜3äÌEáÇ÷ÃÉMï?]’GÜÅžgß)Vó—¥>l…F„ñ8/ºÞKùîrB%Ï]ïvj˜7ä™"fî ¿^N¹DèæbÇp¶pkîìÈÇdt]CÈÁB-ïä3vqù÷?ž6Çp5›Û‘”4BxäeApe1'S*Ï ó"Œ* u…yiþ¾LLä2° æ¸^!qêúÈ“Ú$Ôü×’þNôwÚÓØÍsÐñˆ‚4’hŠÄpÃÚ£‚ 2á0‹½,D7:[ج±7~•EQ_SR(V÷9vžq!s!½žµTø“à~öœÁ·‰'°šå^d® Z.Þe½TNV×Ldð> endobj 173 0 obj << /Length1 1647 /Length2 8076 /Length3 0 /Length 9134 /Filter /FlateDecode >> stream xÚ·P›í6Lq-îÜ!Á¢Å]‹,@‚[q§PÜ­XÑBâN¡P(´¥¸)î¥}í¼çüÿÌ÷Mf’çÚ½v÷Þ½¯}f ­Ç#k ³†(Á\< ^ 8@^CO¼@ ?6 ‹>á ùÛŽÍbñ€Ca®âÿbÈ{@Àˆ›ñ@Ô€¹T= HX$"ø@±¿‰0q€Ø j Ðà¨Â\!ply˜›¯ÔÞñPçïG» $&&ÂýG8@Öâµ»4ÀˆËCE°3@f… |ÿ+»¤á&ÎÇçííÍ vóÂ<ì¥9¸ÞP„@‡xxAl¿[h‚] µÆ‹ÍÐw€ÂÿtèÁìÞ`àÁà µ¸ÂB<]m!€‡ê=u€–ÄõO²úŸnÀ_ÀxAÿ¤û+úw"¨ëÁ`˜‹ØÕêj°ƒ:CZJê¼7ìjû›v†ÃâÁ^`¨3ØúðÇÑÁ%Yø¡Ã¿úƒÛx@Ýp^8Ôùw|¿Ó<ŒYÑÕVæâqEÀ±ŸOê±y˜»/ß_—ëä óvõÿÙA]mí~·aëéÆgà u÷„¨(üÅy0aÿÇfA„€@ (Pq@|lø~Ð÷uƒüáý6?ôèïsØ=´ „ÚA~°ýá`/áá ôÿ·ã¿6°…Ú Ö{¨+ö²?˜!vâ‡û÷€úLò€¿?ÿ<™?(ÌæêìûúWÌ'/k`l¢ÅõWËÿ8åä`>a€‡_ˆ‰ÿ;Í?ø»ù?¬Ú`è_‡ûWBW;@ìφ÷w^ ƒý¯­áüwM؃œ!öÿ¨ß (´yøý?ïÀ!ÿÒÿåÿªþÿ=‘’§³ó~ö? ÿ?ØêìûãAΞˆ‡ÕЀ=,ˆëÿR î³Äêéò¿^øaEd]íÿ$®õØjC6ªèï{xHï u…hÃàÐßoüßÃÒÙ8=¼Uà·õ‡ ò°Sÿ]RÑÕfû{ùø…„`°/6ðAaüBBÐÖÚB|þ7€×†x<´°ƒy`ÿ¾SaaŸÜoÓŸHäA]ÿ QŸÞ€Ïà$öÀÿ‰ølþA óAþòØÿ >$‚þ ŠøœÿR¹ü>œÏõ_ð!3ì(øpx·ÁlÿÅðyü >ƒÿ >D þCåCxÿ™ï¿¦jãéáñðÊùCù#ÿÿñ~ƒ@| 6سÓ0‰pdžðŽ«zYjožèË«]1I&ƒÑBÖo…þêÙO§Üå¬lk(F3´g*#'§¨9®Æ}ÌzsC–Ò• HŠƒkrG‚l)tÖ|é ÈÊ;iýh¡C·v1°Ò î¼¼1eäêîáØ®¨o`¹X°F‹¶`EÍ j±},y]þx&“j©i2ª®‰ã€ú^Œù{κýNQLKH±=ô¬ÀÕÉëå±® O‡½#vmñ²O¯  Ѷáó/Ñhn²©,V\!à 7¾1æ»λv©í6 ê #bêûZQWÂ,©+0mö!]nG´fòêf pl~tðÅðåÊëp/ZäiU„>Þ¬—l}“1º=í8¡!›Éuí6f8ÃyØØkÕ©! `³gB¶³ë…÷9v‡«ËûûìÜ–g#é ­)CàJˆŽ«ÆñuJÊ^’§X‡RYR{Øë–hGÕŠ·[Nû¯9KmCÄõœœ›àSùÁ‚Xe=7XÔ®¡§ ¿B©½>Ì+±n.˜ˆÒ:fáùyËœw”ìû‚ÎXäé ¨ú)á!÷,Ùnü:²Fjáî"Â$o ì(çdr18ë…ý^ôAšÏ\²Â¥1%Rj#37¨_©;ªì^˜ÛÕôŽZYT¤‹ë”¡ÎbÝ'>ÓÔ §N$GŽmœ2Ëjb˜É}VR( c¦}î \ÀV?üYâ’[%jolê¢Þ }ñ¢i0#ã^Q¥­w\X7Qåkê-{ºZÜP8<68’ß“ä‰YªÞWÖ’é­=ì¨#E袻)Ü/Áng-¬%ÝÜví@©+;ýOP®éNííîvÕ„Ô5z÷\´æÜ”n‹»Ô²)£Ó1›]Í×Ìn{_šÒY}m¾Mê} ”]S›)3œ‹K…H;H´Gj’&¼‹[¼×°*8Ç?ôŽ4VꟳlS}Ø+¾]MeÂ@‚¶tx÷eåWu¤Ýå9·^E2KJ{ϽØðYìe^KJiL“[.Uß…¨¨–Vš¸LYç®™Aôã,Ö8>¯¨Q_`’Ö‚ýP[ªc:¶dŠmÙK±­!Å 2 Éw<†ré¹mYEÝ»ªu|´÷n4KUËHNª#;6äSA‡iz¤kÅidããd¯eS-ËIrxÜS_;‰ókßaõØ—ŽÞtQ³a[AÚê¦ò½÷ÊÜ¿9ʛȼ°hÚ„R Ä˦r¢-Âó9(lÄh’ËçBR $ ÕÜéR2ÏÄì~ ÕbJË |NGXØŸ¿á÷ÉòÀ“Yså—boÙ¶,Á2÷æUm.<ƒc¥?¡ƒô°]/P5…Úu¦HZŠ,Oe¡Ù8ô»Ö#Dó™Y¥Í®”æó=bÒÚ™ù¶ÝuS”UoåFU²¿qÿ|dÊ´Š,+@rµâºCruž÷`æ_åKnòHï×åŽ8øËqôîæ´(Û©dç†4%ð’½ZÌyØ*y?Y”3òN(ÚÞÔ^š¾ðûcq«œAntKÒg$eîÝýò¾ÐœßŠdZùå7jŸÍ^™Ÿ]G~<%t~õ]?™¶§ž¡IåÐ,Qñb×{c=ì=õ餫ÌåYå:6““½Ò.hô#<­ ^¬G&y÷J~ëêùÝÖ6tù‚~žy¡@R+}²ãlÒ‡d1J4øØê«Í®{?áÙÝw/{"žÏs7ßɃ‹óƒ“ŽáC9“Š‡}í•6þZ¯s.±«B¯²Å§ó¦z-¸D4Ï‹«4¸q!ס ÑpR“3 ܡʪÁ›¢[ä;‘4éŸá òÂôe~Î*2XIš;´-£÷l` ¾ÕÍÆåûeÿQ¸Úù(SbÇ{»ü}“•°'–w¬fý—ÌËöFYµ–yHëî…‚†ûs9_ê'…Û~e5¨!µŽH´ ‘G=fú˜A‚í˜%¶ÆSµq,†R“ÎrùyØ[@‡ðõ4^åUY^¢Â±ÞQ#ÕXyA¶µ½ Å«µ©‚ %. u¥àÇÛYÄ_‚Ñ›À%3½ߤw€i=s(˜ûë+MóS†úê_C:ݲÏB:^IÃÐQ)+‚´Þ¥ì¦ð¨°DïÛ+D#Z„qFÆôÙ…ú–µ&ÝãÅm‰y}`ý²}=|Èü´+ø¶iö»ÒncÞH†žéh‚:@nÇ¥-ѹ€"agUþ[m;ó´ÇÓW“|ßó­,‰qŸÑ ›±†(Ý3¯ò ~Í¡Š—Ê…eô5š‰ä"ï™ëÚEþtñ«:³ªq»©vÕO~uÕÍü…ÑõQÓÃ6éÊŒ®äo D‰hEqÿ>PÈÆÖªž¡4ÝeVrOÜ×Oa÷˜«« Ç͈ uÉéŒhînGeS$t¯;ÐM?5‹ËʨôÂÌSU§Þ§jXg ~hh3þ|Ç1Ó—/|OF ÿt`ȳú®gÞ o˜ö>uXq33LÀjMü ¢ AǓ§¹K¢?æw F…ÉQ±’pøo‘è¡îŽ£„ƒ ë…Èû'PeQð“" ;Ë¡, –~,ÓSVˆs0ÌðHwq{'=ˆ2=,¹Ðìܽ׆Â0®*êT^¦ò‰Ùj˜•¼ù0dŠñéXüLpŒéãY^éäyç<µt9³! f‘Ùg3§î@£ÆÂÇÏ$kI,æ 0 ðîö‹œø"˜HÄ°`Ê«š¢l…j q²¤».»²¨tÈ ¥Fª}¤ª­™q«•e¦S.skô¯Ÿ¤{7#”­«wéa͹*Ù‹‚Ùe[?"‰%@¦Éµpuó2†”{õî¾ï´óG“¦ú@½2NTeŽñ)î}ßÈ|h\­ê‰síg"Ä‘ÐìsåyCü†—T©_ðx›oÀðïÞ׊>B2áÀé´xF]ðGJI|h\ìí|eô>»ÓÑxgÇÕÓÿ¥»=E¸ä³÷6msÁ!úKö>¯1j "ûIÅõ¨Çð¨³d~Re†;XJ8fsÅk]v“ï·ïíFÚŽÞ¹ÝÁYB:‘?ô8’L7OÛÄ=ÒÜÂV:(D±´ ^ä~)H=vã|ì2äëHÜ_xi®1~›ç­#˹Ž©j½Õ†Á‘:‘®ƒ:‘›»t•Ñ.6%“RB‰ßå/#‚Ã"Hsøö¦”P§|ýi{•øc*’ëÌ}GŠ|O"¥úLp¤:4³ñmÏyùRžÄ`5¯Û þìäóhiÒ¯R\WÀŽ-¿OÈC“|ªo)Ê_QyÍ ˆ¨èW_½ëWi÷LW y#±t<]’îi7˜ÑïfqJûÖZFröÌÙҟ¨þ8 Zd4†+³úŽæ™ÉF戢´œÂWs™‘]±œPþ%uûÆ ËD"b¼UçHöQJÄ}iú8õ¢™€Rf•ÎÝOé‘äÈÜÐ=MZ)ÿ~×& yB Sê̘‘ôÛ$ÙÚr¾¶$K_›«è4Ê0®EÎn_)´»ÎŠ,¨NŽÅ Ëا€8~/ÀÁc¥È7Üà'PsötY93'1¹á•×I°SJPù¹î}Î@wX–.QK|êÝ®$ÙŒãì¾yt¥öéìeß#vJµÝͬa7¦>’îS¸ḵ·Š ò[¸Ð$Uy S|·ƒG›Î •a噶Ɩ”Ž}ˆ-&Oݤ·W7õÌz®ÕŠ‘½ÄawìÄÉ-÷¼éoß×véÝŒê\û<î´x¥>NÃþo{z ÇgHË_7ä×Y|$/TÄgH¼î15ÒS›â=ƒN5Oút¯ìžCòT=µºlñöLvQ¿Ÿ888W+"sÖr¿ùUrÖ‰ ԉÒ *èª=ç=.ºÚ›º•üxôB™Ž Æ9Š¨Þô¦³lo£ÔÎ~¶ù Ç× ^Õ!¨eÎœž> –ŠI[规:2bfJ¿‹5æÅ* Ía1¦wlˆÅ1fc×ã&†‹3#m¡î†u>½öá‡kÈkƒ&y¡tnœ‚MÓÈù¨¾N‚8oêkž€»¥.9|®Ã.^Ù¹ƒÏÕ!"Éû‰¡®‹d92=Ÿ *'Ú*;‘ ÝJV ïÈ幘å¹öò(ÅÅ~᯳’"iÝÉ”›Á¯•°X¢«[Âpï« meÕ¼¨PÔ›R­oâükù¦¹AÁSîO×Ȇ>[SQ³‘È;j*º;ˆ (rf7s¸¼e¹„s34½|<_7WÍ  „m tZ°uYt·¹9sË…ggQæ^GÏ·›“ÀKóNø5LøéuÛwÄÔ{j§É<ƒ’1±U!¸gJ¡:Å'vƒ¬@æøÞAkù$8’•ñUÌxnM6†å×ÙV£&KEq;cSHÜ#¶S¬MŽ¯·ó+Ë3• pÅ|Z›´‚G(y“ÈE5Jƒé ø&4žýfRag ô‰ØM··Û¨wñã+Fé/º¯ÊlêªjØ&dÙüyŒß„ ¿ÖmÇ»åF›­Z7p½ªAcóUn‰nñ_S°oÄ}{`Ýc&Á¬ãæE­ Ï{Ç‘µ¬NžT×ZE]^z«D<œ§ˆ-[Äw“ºS‡½{…ÿŠ¨Él(a#ü]8VÁ`“õèì9wÅÙrOKù/z9z8ž"òeNÿ‹ AÏw 5•¥ÄŠÅü;uCîc߶óoÚŸ˜-Ñ~zqË.ô¾®£EJ$ÿö…ÞñÞÏ4ÒÆR“ó˜öE±çxK ë1¦Í¨±Úmâ4çáWÌñ2Q¼“äú×G±U‘ÉšÃë@EʬïŠãFç PÉjñ­  f“ÊÜå[SF99ɳwGÏPW{ßÞ|lì3P š9/¡J”w²{ñŠÍ’ HB^) ÕÔÇDv3ÇÂaøh„®°ˆÞˆoÓ S¾ÝÚJµhðtÄF”/‹ yÆ•÷¶¤ãnÜ4Õ}‚% ×njõDÏè­ªí ÷õx‹ç4tÛ¾«À¹ƒ?óÐó`?‰š‘bíbfÎêÓ±Íu¿}•ÛÅô˜ªa¦ð`ÖV_‘Ì‘¢Êª3ÃB¡o#øq„N—Qy…Ü×t²9zZ¯RøçœEBñ±ÕŽ|àS£3È>a¬=ßI ~VK”õ†•æª¤Ø`_]ôpq—ãVQ¨0ZW[n¯móóÙÃ?lóìg´)³öÎ>~ý²ñ ³Ö{«TM•;Šgyã0…°¸í;è&x/eºÕè9çÄ2›v²_Ü|Ã`¥ÆàÏÙ7ÉÓèßvª1vȇJÍ=츥åù¶Ÿ2äTrûb/)„áÊ»'JûtH@ñ='<ã(óMÏO¨nDô²`åëÅÂÚ„³çóT‹r’ä_ÙžsÐMêËhm›Íë6ÃãÉ|É»@Æb›õTíü•º~c*‡¼zx÷Aªuoy²løÜ/íZ߃Q)îQ¦eIÖLï÷v†µw?ª{N2ڊüÔ`‘¼¾’ËŒâéþ¾6tƒó1òYx¾¹™µ‡üÆÕêê¤Ë®ô…‹ë-¹ìs š_±Ô?‡U+‘á%aJ VM™Ly¿šO¦ý¦™½ÞXøÁ,ËÌ'|Á/ŠüIÌrªú‚ŠÖ½¿¿u¸üDXØÔ7V};hI³{Ô®wo^'Bó¬÷ËÌÖŨ ëã§ó"ÒÏÛÑNNïOcW™­™è=êsNÞ&ø?Œ*0ÊP©wûÉc!õä ùâA$û®§‘$ÛcRÑÙjb$ © &Ì·D\1U ëߺé Îç¦Ë”‡Yeýì½wæiüTî ý Ü$tj_¿qQ—ú†á΄¤û¸,S[È3ƒé¨çïkáï?.æÉñG¾Pè¼ß…r0- –÷<»‹ŠLxjfùœ´Þ¬uýÃ^‘'+rÒLýmÙRࢼ-à`”@NŽh'‰¬DIp":Fº[of*_É)}'_ø× ·¨çû˜‰2í/o¢â<=ýŒ;Xݺ—ù9å–°ó™…NŽEæ‡gºxäòkœv[ÆO°ÉJŒ!õF—†T„ g͆dß‹™nmÂ-¥%i˜ìéKµ°Oïf…ÔaI°Š)2Ö$N¸x¸¨;ÖÈ)ë’sQœ\Š?0¯ .ô¨$ LTתë·$A´TOŒ³FÊ7P±o«ÍW»Âˆ|ãŽ-}†·ª>ìÖ[F Éi½ÇXØÄù•®kÿRûƒßO÷©Æ-„"ôeÕsS?R¸³@®é­|ÝS#„Þ¯ÔZ0¶TŒ$×}+‡Äçœù”ˆhJbzaYP0ä KæŠÊ]=aÈÝøðâf¿èþJŒÃ¨Nç¡MgŽþˆécQ¬X˜’Þ¬L}w ð¼hЛoôÍ…ú`L¦ÏzGÎ^æ¥äV.*Ì$V–Ÿ:¸63Ñå SkÒ¿¬…Ai×õ(ŸŸ?õFmÁW¦66’j{± 5q ÛÓ0j½ŠÕá™ÂJŸá²ÎÕRqkH>¾®ÁŠ nW¬:È&>oÙ¶@*Žef#dÚh6A•a4L¬!Íê÷Çü!„K8Ï‚Æ 6[Ø*£ÝÒd‹uŒôz°·C¼ì¦é×øÞôQRÕ¶FC „'5ÕNßOpLPÇ1~Ž8P#©2¿¼!­)Å@…†[ýt̺³|ݹUw'³y]pd”XgB«“&8AÐ8W™•SËÄiÊãªÈÄ&nD¿¥»ã¼PO¬£Ê¬ˆÙ •hý”i¬»X(Á“’Õ˹1VÂEL¿P}GÙ5Èáò•¶]™1†‚6fa×·W¬—¦­‡-.¾Y´x…joséââ&!xº@0§-D= ªÑ°¥˜Üc?£˜ùY|àLÇv‰´#ÉXç ÀkPb†$ Ør üT#t£Îø‹FD^Ë!”M¦ zŲõÔ1{ñó…>Ó+Ëjªv½j™¯c†›zIj'í¹(:g»sKˆwWý¨vµ¶Žïõ…t ®‚‚FÛÚ¿4ƒÐUe²*NBAsÒ*¨*¶9–êÛbé˜ùÍ'™Î 3]·-nÇÔTþsÖs¤²±#ÉìßA®¹ToŽVÁ…F{¨/iÚã¹³è±ëŠŽœïýd6ޢűúÉZù¤…Û¡t§HžL¦‘ùH.K[úþ‡^’Íéú»EÆ¥ Ýw~ü ]ÇËÜ› ^¬üLwC;ÕNXÖŠÅVs«ð„¾wsB[ÜIpÑ{×…wõF ^S7yÐl¼fƒâ•êµ¤@‹/Z XÌÝÏ´4g0B?x>âRvþ6NA|6Õ­çÛr¥*^ˆü¡*ï1~G^¿\U]eã[Ì»ÿê´OMShTç1zS“Þ¤øÄš¦o¯ðß”zž#å^Ÿ”fÀ Ž# /Œ’ðXã@ê¯eiIÊX÷ÐÀ çxà)âû_0zƒVÒž`¡q:ij/.=þ¹È¡Wnï[ܳˆ ;7Ï(~Y’’Wf d»‘uÆ…»×MÒËÓ’&Ìm©žVÞx¥Iuæu[¬JL‹#¥`)Éï,‰rj_ 1·&E½GÉŠ!e·ßì>à’ÔSü¾9˜dJe­*wÈfqÂaF$tŸÑ^íŽˆÅ¢í·±# P¤{06ÅYúœã²~{eR¯tÉnt)øËÄ•Ã0Î÷ʤýW,Ýz»Z0QHU´5jÍ\_¶qy3C!§Pš>³´¥ˆ‘ä„Ó‚›á±8Æ•xÕ¯á\dÈ)TÚôú<,¡,?ÜÊ+³$-ÇsÀ๰/¢ÀQ^éô’å~7,¯BÙó­<|&9?빎\¡Š2ŠÖóÞ¹°ª•UÐ!§ëºØÔÅÒX«½«•òVN_%PDœ/sîÕóHœõë÷ky»±ÒýãïfŸ±) ÛR4ðõIsâþR›Rü¶@˜d<{ØDý\¿ßOVÖ$cèµÆ݇“ªO(ÁÏ…_Y]œZW.ì”PL’—1KQDFr’pM•é>Îh©“îÍ—¡5tåÞ8ÿê]¾ËEqZʯ„¨ºâ²‘ݸ³—Ì¡ž9ì†ês"†d%/Ò:+Îup6.}"ý!9GÇâ–ÐTD_óô…z n©v‚ßIcÆDöìó’.o<4ìGËCï+£zt+kuÁÉ:Èk¼ÊDK9f‰ bÚþŽ±”i[úvÎ7>¾WÈ}ĨZð„?ÏBŽ¼Yê…ʇñ'#:•E㽡 ¢2­â(ù@E–—! ÞtYî#à!T–eþ‹uñ˜þ„dûÓÔ÷×}²lMz¦ŒÊe×[ÿή¼ endstream endobj 174 0 obj << /Type /FontDescriptor /FontName /CAUXYO+CMSS10 /Flags 4 /FontBBox [-61 -250 999 759] /Ascent 694 /CapHeight 694 /Descent -194 /ItalicAngle 0 /StemV 78 /XHeight 444 /CharSet (/B/C/S/U/a/c/e/g/i/l/m/n/o/period/r/s/t/two) /FontFile 173 0 R >> endobj 175 0 obj << /Length1 1928 /Length2 14967 /Length3 0 /Length 16149 /Filter /FlateDecode >> stream xÚöpçÛò‡ Ƕ5É/¶mÛ¶m;OŒ‰m{bÛÛN&œØ¼Ù8gïóߪ{+UÉ÷éÕÝëÓku¯ )¡‚2­ ‰½‘©˜½ -#@XVE’‘ÀÀÀLÇÀÀCJªbébcú; ©š©“³¥½׿<„L ]>m"†.ŸŽ²öv)W#3€‘‹‘‹ÀÄÀÀùG{'.€ˆ¡›¥ @– eogê C*lïàédináò¹Ï>Æ”FNNvš?¶¦N–ƆvYC SÛÏ mÊöÆ–¦.žÿ“‚‚ÇÂÅÅ‹žÞÝÝÎÐÖ™ÎÞÉœ’ànébP2u6ur35üQ2@ÎÐÖôïÒè`H*–Î-(Û›¹¸:™> 6–ƦvΟ!®v&¦N€ÏÝÊ’2yS»¿œeþr ü}8F:Æÿ¦û;úD–vÛÛ:ÚyZÚ™Ì,mLòb2t..4C;“? mœí?ã Ý -m >þ”nT~Vøw}ÎÆN–.ÎtΖ6ÔHÿGšÏcµ3¶·µ5µsq†ùCŸˆ¥“©ñç¹{Òÿ}¹ÖvöîvÞÿ!3K;³?Ê0qu Wµ³tt5•ùÛçÓóÍÜÔÀÊÀÀÀÁÄ0u˜z[Ðÿ±Š§ƒéŸ‹Œ˜?køêí`ï0û,Ãô«¥™éçogC7S€‹“«éWï/ü/Á02L,]F¦æ–v0ÿdÿ4›šýÅŸ÷ïdéÐføl?FÃ?ÿýÒýì0{;ÏÜÿ¼bzA%UA-ê¿KþÀ›–™@ËÄÊ`ddb°~|ýß<ÿ=ÿTÿ§UÁÐòouÿÊ(igfàü«ˆÏÓûO!nwÅßcC øßäì?ûÙ@ñOûë0°2þbüÿ<†üÿëý?²ü¿¶ÿÿU$æjcóç:Å_ÿ?놶–6ž{|ö³«ËçlÈÚNˆÝÿuU7ýk eMM,]mÿ瘝‹áçŒÚ™ö9-# Ë_vKg1KSKc‹¿zé?—ñ¹‡¥©‚½³åïÎgÃÿYû=cëÏ·ÅùóÊþ\2ýœ¬ÿÝWÔÎØÞädbe:9zÂ|vÀ'±¼?gÕÄÔãÏÐÓÙÙ»|†>kü 0³w‚ùãbÙX?»êÓ_Ä ú‡ØôÂÿ€^ä¿ÄΠû‡˜ôÿÐgœì?ô'÷_âøŒSø‡˜ôÊÿÐçîjÿÐgœÆ‰ó3§á?ô¹fôqèÿKœ"½É¿@oú/ü”jö/üT`þ/dÐ[üY>ÇÂÓÁâó…üÇãÓfù/üÔlõ/ü”iý/üÔió/üjû~Ž0ý¿2>ôöÿÂO¡ÿÂOeNÿÂOÎÿÂO.ÿÂO®ÿÂOnÿÂOîÿ Ó§ ᧠Ï?ñÍØÕÉéó-þóEøìÂÿ🿩©‡©1ÌÊ¢½1w°U]pÇãA\wÚƒI&ø¡ëˆ[(õ}Ql·CÅ@až§æ‚ÈeÁžù_‘OÛ(§L¥ÍÖ Öz[>i‘\+ àfF{4>Ó(¼Ï§Î2®L¿¤»»µ ˜íLÌ1.Z”FÜoæ(1i¯2ÅyÈZªª,. É›Îèà@&£#!±88˜á@‚;3;«…jçæ»$Iœ¯&'|;~JcbÝZ-§¶ÜIÃ=9w¾Í<áK=êcÑ6˜Ì‘î÷‰b½|§¼í 0rWæ'æÎ’ÜŸ¾–¸Þ–T2o‘ÞLÞþNt¹ -˜ãaD¾«ÇMÕ-RÚ±’¤RäÅÌJ^ÞWQ!ŽÊ+ ;° -6s\G—ƒ,í#S;:¯§âœ”5—VD3–Ú¤ |ã½Ä8c =äcI#ÔùeÏO)(;ÒjÉF#pÊ¥Vµ°£Q–”1âêÿ”8P­χmê|\œÓ2=eü…¾ƒœ¾u%žþ¨ö{¸ßä9×~‘ñfh@},R_è¯%žå-…4£3B¹ž©ØÃñk‡ÇŸƒk>-;ÛÈ›'’&(ÀEY}Î)OJ¦éÈÕSu]*æ®ý¦EãgÁ@BCÁfТ ™<^ÐpáRrŽ>U{_±«†¶ÐxWåÆ)¢4$`מeñö…”Mó:”‚íVÙALº³*Nâ÷Çxù²“¡³ cQU]ü"é‚ñé‹é äY×! BÓ#¢ÒÝ噜'ÀŸSvgoúðHØ )BуȘ'*auËW΢*‚”áÂ`5T¤ê`›:4ÆñüjÕŽ;Žþê^£1·4S¨ Î]Ëä‡%óEŸZdÚ/"j ÖºD¥‡óƒeqí t©ecÔØÙQª-ˆs“ˆqÓ U¦¦"ò\àÀd„ñͳæÛ””Þ˜ó×¾Ê5è»NŽ+| H/«Ñ¡·˜±sÒ]ô¨ç$βĴú7=Hò”³? ?Ü}oR6­¶£[ÝTV YÊwIUÏ2™2faÀeŽ«hž^xhé"·<ÂIÔJ\,BuE2\Þ‘‰²ëé©“(å”*Eòö$úž¥(è~K5Sl™‹C³˜Ò–^ÔÄÆÆÊïìäDÌÔ|ü 9†úF÷w×àO7ŒÊº¨­ÓåÞw5^]8ULßñÉýh4ÀÚõ#K(¸?ë!÷—ŒîVn«å=© wêÇåVû,ÂÈÃòJÏx:=T¨™“œy=s95®«“` ØõgŠB´g‚+ºïOq¨Âk˜£|³&NûÈ=šy^}̉"8zD/åžñeüå5kÏÎ@!Î"ÁX.Õ,ø¬xÒxó¯ŽÆEù%jE©Í§_7‡ÖÆ$Éß•D-ÖÛ†A_ðñÚýíÎ ¾Z¶wGÙ8JÆóE€0=ß!$wCÕ­ ÊOÙ$3Uj ‰ž!à´ÛqÇÒ{ìóá Ú^D\®_Ž ÷¥¿øOú¥p}]Aê䤗]Ñ5ûÝ¡±bcv]@û,6é³ è×À 2^c…(%!þ gzç(£§´—Ðë¥Ì™¨ ÁAiŽ"JyÕ·H$2ĺfí£û×N+7¯ÙGÑk@’›S²¢ý,?æÒùh˜£™è$ÞI˜Ôê à¬]pê·6Î:j0l4÷*¯Þ²ÇžJ%Óå€Í¯ÌQ:l½U¸m¸R·hZžèôÒCB—\ÎëöZ«?ú%3éC$,úÃý«Ð¯ÌÁ΢ãj†jf2‡·o,Š\®ÃÒ©î·ÔvÂó¾nÝ÷‹.ö@Ùõ\)†õ4ðž:ØšXç2烺ÞË©© _L“±Ô Ž¸>‡b^»Ÿü"Wpqû¼|=~Ç3¶áþÀ+^yr¬¯aÐ(8…p³74c$LôD¿ÑnÌüJrØòH)•Hmp¬X•å±AÆØ^ g4:B‰*Ò ÀO8'K7ψT]7êTò*1cŽ¢?›ðj®MÆœr¶Ë†)ÖAL&Ñ«-˜ÔïTCmôQ¿ ®ƒ ×<©c“I^]®ãIÞ9d Þ• ZPµ–úiÔÁô!ã^ßë#þ@Vµ.UgZ';ˆv±.¦¶Pã!)ÓW1/‘9]nr}»5öâä¿Ðk˜ó|­¥à®Ìcª]ÿ}r;N»üèË^…9¨‹t0qâTUB¦˜´Ä Ý•1#(«›m¶ ñ‹¿ÉC?Ò²õ1í×¥*ßóE@þ:éÏ–7Š™þ8ì ´ :4xCF0º÷¦qKÃo›UïÇÄÂÑ´æ¼8˜Õf”0* u¢â!~/¡˜¦’®¢hAöüb¸æ°s¬i½Îœåq± „þ·ÓâšNý$‹y¿972û=ƒh \§V_,¡3EŒñB9¬ñèÏm~×ô!úØø #ÇÁ•ÕÓW<®§s“§Q0)èò@ïØ=ÌÕÎ?ÂØè ¿.ûos$íDe’ûÐÎ9z~C_d6Ý)I$0E~ Ÿš¨c^MA(*ÎÇKz`ÈgM²#h+ów«â‹¥"4ÀC¿:4Q3Œûn_Lu;RrKq·¦Ï„mK15žÌzêÒ1>Aí‘›æG‘3锞 ÈvºpáŘ÷l ‰QÛž8%2/bÔ•Q¡¹¸hHãº*Êä‚/"Ž• ͳ€ÅŒ+Ø"e X„›Úì¿wkWqþlÙ|’S*s n‡"eÆÙ¾¦Ûëˆ93âPÉOöŽ Q@wýÍ FJÓ5”Áˆ21°Ü†|«(­Š,¹æÕZš³²oö´Sç|ˆÔM^–&fé.NÆôÓ¨[„G#ñnZbò¡Ôm~.ð–O#…%ä wpžl‡ÈE×­K•ùzÔ1¯µï»©õ¶V¼>Ó“ße«­„U8ãWÇ·ö }& Ÿ CŽ³¢Qß°±që:…{û§býÓÃP¤3¼]^Þdôhè›´"·Œù¸Ð›h¤›ŠÑ­µ ŽGUVíVý9„ØÞÊã[S^ÛŸ;Ï?¹>ÞZ磑ŒšAàEŠ9ß0¿Ž‰„‚.vW1<6ïÛå+­õHÞ‡94xZ*ó{±:š&Ô+›8^˜ÞZF|À+fI©±Åì¦ñÙ»¼²’1]]æct4k©O‘¼wË*r)LuŒ÷èœ÷Lºß·Ó߸ XµðN~lëË$ „=”»÷ËͶ@[7Ñà†jûqî9üëb’´ÍP¶Ô¸?×ï”>ÿïÊÈßOš=#ƒÉq³ÂÌ Y10&©×ŒÆîMqÉž>"„Ü=úªRJ5?Ñ°®´(3,ܾéê%bç BR"¢Í96e™)ê3zõr÷‡.ó÷‚Œ0Ø·à“.Â:óxr³~~Çz÷öp—¥Lé|­…—‡;2ð\b 7Ê]ÍT¯Ô§A¯ÈéîhpÈ_Å5¤Œ„I…@ùM?êCÔ‰\§^‰¶·†JNŒ¥[{N¯¯?P„C)`õ²šá]šv>”ôŠC"'¤]P.¼ºÍ…ê_ˆ¶J.DÌ ··x}"ãË—`@÷¸^¯(º¡µ#ú}KÅ‘£Ýð­üÒ~&XW(ÀšãíÑ_bÕóB,"ÞÜ××UÂÏmêMò:!H€S¹ !Q+›áD¶š8_ÓÚj¼ý@úòá‡ÊºÛµÕ\â¼0¦è8^ý{%mVÜÚxò~çÜ»0 Ú§D©í äM ösHÍMXÐâˆd‘‚5Ï““ãTƒÃþ‘qì±áGùHxxžòOù8A7~þÈ”ÄÜ­ö½Ö85kg^7£Í©`ŽQŸº‘~N}RïËÙÒz>22/bæG‹6òÖTbhT‚¾q»WÀ¾?”Ícçœÿ(÷é˜+ÙƘ:ñ2]x€Ý°Ž7æõ¾¼3Ü’0X0 ÁL¾g@~F„™ŠÜF‘X×ˤ'wRÿP›ùùz8éŠÇJe4 ‰Åù*·; Ý@6_óuµ™8‹ jf‘ý9„÷0”Þç¹Q¸Hƒ)Ó~L£‡Ð]0å ×zd”\E–G@y&08ººÓZà »¢•¿âè¦êÛ8à@ˆÉ_š¾qç°[º[žoëK4IÊüÊhÄÒòïZe9xÖ>1ÞMÊð!Bâ%`SŸÑ剄yóÚ$}¹êEEÔ»u.œ¼Ò¬ðÌ„5UÁ×îp}ÌŸ Õ—0;jÁܲ¹›“¬^.ï ²¶É–CïRaK˵º§î–¶½Gý2c%y÷;ÆŲÍ3¹Ö|ñ’UÐg<ýšZý—ÍK úB´u‰KR‰)(³ð]?}8¢o;À‹¬ß©9E§gQ˜T Ç[F~ 7\ÆÈ·j‡Ô/ VÏ=Â_Ï™?ñ†ò\ l×3É° éuƒv-”ØèEsl£1빬Hݽ/æñlö859xUiÍ£ðxsvÈYµ›ìÄ<’oC,ù„. jd/u¤Mœ˜Ê÷.&wñò‹ímf,³Ã(½éùn?¿Cžw¼˜**Ê°Ÿ^ ®´_ Ö€òt§‹ãâ»%úÏ^üIÏZX\¢XŒ‘{ù5Dw~¸ÙŸ¥õÛPÍåNEŸ*Ù…ãs15ô­^mÕ}› gó3ŒW9$̇ìu”«Yݧ±{Àé(Èû]îs¸?´‹~§Þ/‰¡4Ç>¥êÛYu§ß ®tA>bp ².Zé*1”/q!34eò¾ P錷7í·o;¿vºñk3 >¶×²ïÂÿÊìEÒ?µY›.ªò¼)çõ•¦71®fN·î‰(xú(ôÍK¹Øòd=å›ç]¸ª<´Ö@®8–-èL¥ÌðùÇáÒ„‚mMrÄÅZ¹ƒ€§_Ë"Æ„s ðO®A¹ŒÆ,Ìã i C&âg¨PWwŠ¦×e@{è j]ÃÞxÑÑÒ._ûÐjê#ئݧ®™„þ›·‚§„j<8ý1%þ‡K Ä]Ù˜YáT†¥{¸Gv"öo¿8OáÛ 8a#ŸÈé.¬*X¤æö4îÚ½$vTëÞ„ÄÂý¬éSeÆëÎÔ})CÎF¯ õ炱Ä)‘àPÏ(™:&kYñV]~”Ìë¤voä6 .t?iù’ç[%4 IVKty_V¾isÍ5Öý$jœ™>ηݖ¥æ†Ñ†z0k„×ðšQ¸o÷?h“GûÖADNÃ[Yä„Ê]¡®{ö<]§½t*[GJ‰Šb’éøûÆãgjæé×mÖµm6È2ÑpP•|cÕÝ… nã^ìt‡8¨%YÝ5u%ÜP×ë:¹U‰†S nƒ¶£ä°±z×ÁQZ/Y®3B¦6¨6 îx½µ²ÎTÙbí©eH'6xß~<²ÉÚëÝFƒ]¿V8:ÿì)¥QÜý!VïÔ%nk˜ Þý¸n¹sÍï çùzjä1m¦Š)ó=VYñ¡P1Du–­Útíx¥µZ£~(Éå’PÝ Û}è¼ÙVPn¼Ã_fçv¯ôMkAsFfMþª¸ðÁSªR1¯G” ˆ„Gc¸Ã‚\ZÿØ46Bæ9ÁG=† 6ÄLWO\,;à¢Ð:ÉÕî—#þi xXŒ…ÛE½žUëñ*žGÔŸ`de¼ü7{¸ÍÛ]y©ÒˇÂûú÷Ãh§”ù9Ðp®a|ëÖw&þP,•4°sšgÅbÍChÉÖ—ãàz!Ñcp©.2§-#hŒŸ?䕇¸ç}Å8Gˆ‹+ŒS°ÛÓºLd† †’Ǻ‘#Ó7-µ–.딂ФJ†|Tóâå°b±+Ø{ÞÜÂä¦6’ƶdšÌåP¶üÅ4²Ý|QÛ”;l°h:%ñ½ ÁÓºò` áÁÂc¦4õ/>0ÒÜ)µe3€jx>Pï /„Oèù1Ãp𰲂wióÜ5ËÃ_Œ>ö˜á»òé™ÖbÃœ))õPK×Áî-ïË’7#3Ñ•—ïSXƒÉCÕÃx±q-Gæ,3u,6ô½ƒJ ÔÓ>’fFÁÞy“p¢yaº¬AÚv4>ºø5¹4˜B Àj£DTrEZóÍã)æ‰5›T ü¯kß!³ŠB"„a…ƒÛ³¯o(eDEV‘úÖg/p”•'ìq\ä¡ËuÒ!UxéW^n_üGfï{"ï›\*ø…‹ëÌÄ0KîÓÇ ×é 'S.o‹õÞAág@ˆ–yà¬X‘þn™Ñü=Øw!­þÏx½™|˜G¯ií"ЕKÇéÇzýäÎÓ¯‚¥5VõóyO üÊT㪪;n\:Ð_…MLJ )Ñ{Ã]Éur!l+‘†ÝÔÈ,Ò^™Ûg›ð0Eñ>/â=°Z‹€¥7´Ÿí‡Ì‡ 1w"Öe<°*'‚.|¹¹bIpìœ0s¹Ü”„U2U£…Â!È–˜(­%k›l+ú î ‘=Ÿ{¿—«ÏÝŽ³ïú“ÞEŸ¬¶£®Zg/0%7‹/ó£ +#áݬÜ×H—ÏÇàã/}|TÌùPü¡Idu>Ë{ßk:£ƒÇ!v—ëÒsÆÞXÇ!ª“`=ò~·ÝJîÎÀh×áËØUDгú¯%L°¾ÛwÑ\£of£:”Þí*fèÀƒ~÷6`Ùß²§Â]‚„ÐÏùëO†…ºgyòŠ _­ÛŸŸ¿£É¦•à¯ñ8øÓ&w]˜¢¸u[’$ugôG|w0 °iAª'øu&¿“ä±D·Tºî©án=Ʊq,¥]™JÒºŠ Èø ãÖt¤M¦ò­õe½”"p¤„ä^4KœÆë¾3梀¦"Ÿô8¨·"G¿òN^´WÚ{EØΩN?x?Á/‡8ýÆÙë3ʇýå?ËFëç*â9Á–‚Mé†!˜þ;W”ò´!] xyAä~„0ÇÒñºp#}IàhR™ œ¢µ ;BQÙ÷™6öÆEœZÇ»ØÉø£$Xªhªò {5q®” “b‡†HË´íO^7žJ],k\ï­)^±$jÉØBNR㌠i0œ%'2Œ÷ñwy©¡çŸw!ȳoÄ”Î|Œ4«½6¹f’››à9rqYþ´C·42ýÊÛ¢¾G¦¨Ðëñ…&¨Å!èµÍ¦¥íž°ò+ÄÙ§ä8ÁáÂV[pÖ²V®ØÑìÐk‚-!O;ˆvæNÜ=9¹¡OVjâ´€=kg~ש,•ÉwM~µ” {lÓh¾åëøˆ:W†oJTÌ6þxi|áÀsª-°UÁe Å,$t–‘Õ{ƒ?û6ê™ÉÓOãK¿[Ú¥¼Æåæë'i KTmùl!5õü®-ri÷$]*–FRWšÚ–{BnYâà ÜWDm2PŒ’7IP˜°=Fçö2×EÇnl¾+c]³ ÌüÂgJŸLÎgïÌ‹ð¼ÂÁƒKÉ4TüsÆÿ;@ƒP’UÔþó€Üü͘Ú{2Ž4Ï Ö›Ð£Ÿ÷8Å/Óã®Úé]Rfûú «>U”®$×+xø§©(û1?ñm5‰ÖöËXÀÀÚQñ8%˜ ¬ ÀŒeT3 \×öO•¸†g}Ý(öœ"oçË÷±ÊYX/]_%Öâ©* š¶f<.(—µÛ·ÂLóá%Sê¦Nõ¾"1KÇïØ †õ×–#¡¬¹¨'yhÑ“i ÿ¥Õ‘ItD[>…ßËÓXºCSUt“¨ù„b[.¸*ßëë†KrÕ9¼}ZrðÜ·¯fºšÀ{’ÜŸÔŸO×Ûg¢­­( ~ò5)E*ÿ\Öîœé#^û)æ¡›©†ÜV~E¾·¶Jþ¤v‡4!O½qEEÐq)à1ÍGØÐ&€ëc¶išØ‰œÎáúå )ÌæÞf³UW¿Ôç> ¯Ä7¶7ŠÑØ´€t_%'S\xªyBsq½ÒÉ$_ÄÛ[T!¾ 2lèǬ…îÉywé(#£š6þY ã ×RBž- ø²~ ÛÂË,}bVBç•šÀXJ“Y€ŠC•K) xÏ­Õu+ÀØ aœÌ1zÆ¢õ»0½@­DÂu+£ß””Nç· Ë*á­î§…÷\ã-yÕr‹§/Ì qeJ†G`!$† eDÌ#ÁÛj„éÝüØ?ò³ôÇTvÒ)¢ã~(²ë«M,0³c’Ò§À€HÑhVk´‰›Kݧúb4x§»Ï™7AÛº¥ïL`XʯÞÚ?´¾Rm‰ò¿wê·CZ¯tkY„I')ä *ÏdµÒbÖ¸#Ï ­…gÖ.!š~çÃ}? ‚ËȯYBFðÐ.e]˜¢Öþ¥I¡†4m§"Vë…¦\)lVÆ—5$à݃OÀ¬àû¨` £@̆Ýg„Û#:|´âC+*(3Ó7g¬_~žróU.,î‡;e×%9 çE>e¢ D‘?úM±­†ÃebƱ{JÕ”‰ßO'kQãXq}Ÿ|ûšâóu«/\ƒ‹ãx¥Óƒ¡N6Øö»MNº1ŠB@yèÁˆõ†õg„RUê ìçµ[áLkîîn™Ž\‚ŒU&~2+ +LB‚DdÎÀêZmW j~©/Emã½ÉÎø{Ýn³ ­Þ¶×èqåM)þݺ¾<Ö\p !¤[QŽ ðèƒ6ahT‘»uúË}x-.:m¯{)f°Ö#;Üš!Ïa¼…@1®Ëa ¿9„[VU&þ)K#¸ï˜&{C* ž]O¥ðG•ªeûÐ<¥)ˆš‚GQ vuñRz²òñ#ëþªŽ¦ë®Ìß*åNÇò•\H;Ðn« ì= ¦o'Põð`ÓÎV’˜ñÒû×S•On¦Òë±Go:rGkÚ8ZÞ®ñù2&…µh¥l^Ö¬^;Ô}ˆHõýwŸ$妔¥ =ÐìðpÍ5~?ˆ2+4‰¯ÑÆÏ˯ÓÒj¢v@g‰Q—?=vÃ;ÿÛw€ñ~Í]r9œþð¢Íp€.Ö%㌂)µÖd–ýŠ& ɾ˜)þåÛÌ($ÀwÊ×Ñdb}0@€ êrðº>@;\¢2ßF„»²šÓŒ,y1€³N$M µo¬»ß²«ŽãlŽ ­ZåÐFeH˜ ™ˆ¥joˆåaö”Éàº,Ô(u¸Ú’*d^²2²4B' Ð6Õ¤ž¯šw6¼0æKÀfèÜN³Ÿp¼e§‘{ºOâ¿i@K'÷ªóxzD+cœdŸ0z¨ï1úVøœj^„XöEb׸Vª@=lÜ´ûÞ«Ã~¤+/C¡ŸRö¥Þ7Jí‹°1e«©‡“ÕauA »×Æ–X|Ë´‘üÁƒ¯¨We€l nÖ^ˆ˜>¢ó}5£ƒÙò¸E>Ý{v™§ü;oÀ>¾$w wjáh_äU”\¸‚'\!È·ïø8Œ²¿àðË÷ ßq²“ºzRf=zÃAw¤¾YPCûÌÄWKägNÓr*9¯D{ÕXúÙýV?|åÛS©ÍþH§¿´¼ËÑpôû^Ú’â3*V¨¤üíݸ"σÜþuÕov“A­)\F‚Œhþœ[óV*l8ÕS}f“ÓÄ(òp¬‘ ðúyÀ;{|ߤ‡‹Üõ‹9ÂÌ ój`ŸˆìùN=]e@ÓÜõ#¤ˆ©ôŒ­á9"iŒ„<:À[.V*GJ_ÑIa–*öA03¼?ÃqŽC›kÙ³ÅS1ny€ËBo³DŸka9EOóܱ±ïbìÆÑ?×vÇÇI%|©JBPá©ßå^($ ù°‰Oìø¥“âÖUUeå~œ¶aM6“:¤÷h]bp_TaðYqL )P¾.FW‚ƒ·üÕñ+Ò[ú¢ç”P4S›Âû´úäA;„1ÁNâ,¼ýÅÝ Í”Ç¦Loj4èø„·Òy²ÿÃ9 ºO8UöC[ôý,Ç„_™‘äÜ~˜›æ†i7v 5côzŒávÞÔÉ©nþwÒÍQÁ{þþ§—g]` ¤s•”RôïšrSj–¥®àjî³èý£#⮸4E_Ëñ‹>ò≠Èëf}Û¼8áz¬§¬Pí£7ãªÄ¿äÃsåƒÎ‡{âY(âο8L?Ò C<9b^N‹·bµ?Ð8e¼J[Š8Ãx¶(úîÐ~ïH€:ºòçZ¡KÓÈ‚fhºà'¸‘Æ3?¾Z•ÎƒÍªå3b1Ð_rpñ‰Ë¾9‰Hgœ×RžŒW}n]2iÕ%À3´¿È.s2±KOZø~å¶Rî&hÆs·nrÇz„ÂwÕTg†yÛ!ÝnÀpçìõ:®´e˘ërD˜Qš¨®DÐ-ß;«…AÛU#<úEõÚÄýÅÄNê£O~Òæ­yˆyã±r ¸ÄÏ„o£¦Zyõ»‹ÿ,È…r±ö4:R.²;6#Ïð²IP(ÎIgoØa³Û–CϺP]\WÅb_Yaábo×e1>½/Uë˜ãÀØö¡§Ã·Œ/Íš…f¦·>†5·U5@#yŒÒ÷Uú¥KÉï¶[í¡JT#ÄH@K- \lõbCwŸÑ%»ÝB ×n$ÍÊã>¶zãÃa ­5>¾Àu7·ÉP%k·^^Fc1P–ô,£Ç½ˆ=}8º~UBZù8HNó _©èÖR¾Ö ¿Âã^,%Þžjgž«rin=‡ pih=…ÕèÖàï%ºá2þk³qtÎCoíC¢¥GÂ&¼çmÎ0¢9Ó)hWçnÛúUø‡í|‰©Í\IÙ¡: Ö.æ.ƒÝ¯žªfŒZ«Ãlüª,ÁÂ…*¿£zBÝ,3éH®“»jwtø½£áBåÀ†¹¶¹.txò„ÇhKŸÅu¨vÀ€ƒíÝ•ò¯ªf=I¿!¹k}׫ äÅl™ Ó¸u{1hW/u8úïë½ÎÅ>õ÷b~C•jüt‹L׌ÿ½ü Sm®Nb>Qþ¹'õåfÇ‹Ë“N»R5 }–ôȇoMé÷:Â<ì«Õ@ÐϽ´ßŠ~¤Á8ÒRÇ'$fþ÷m7¼G#ô…ÎHÆç28ãE9!>ÞFG*:¤Ñ1?: ¸XÛ0I_Ùå5»oWØ7mÔtLáà’ÛŠXýÚ¿!Ù8“‰>6”j‹À³àL½%TªÏž¾?Ý’û£¯T„pªWÓo¤v\•€ÛaY¯ßí{U%Öåñ( î0Í ±~ÊösJ/)>8:f®Ø•jùJ¬BðxµÝ—\=8ê9¨R¡DG§üŽ. —Xpë^TSW%TŒÄˆ ¾Á¨Ú1/NÄ"gÜæ9n+)ÉÑÐ#2^ƒ'êbö#â¦/™®fp|‚!ó¦P˜è[ÁWgݼé_ˆ­z°ûÚ=èü_è³~9:Lj€TŸmœ[„U@ÇzM-Dµîq.Ø”ÐüFº•@‰Zv®iù,¦ L8¢¸&÷lô }(&?Ü2ɵ6ÁE2KÐ"D®’¸D,ª”E´„ÝCòdô´íÞÖÞ: •y¥!”wAŽ söþÕ‹nst@Ÿ/&?1 Z׶9u¢ð¯Hc*´Î”jýÃc´xØ;0›¼ÃÌü¦6ôøøVGH@)—ÙóN FKÉè“ÖùرÙE¡¼§˜U%<´¸€Hò0Žü*ƒL”þQèú,;µo*«—Ü÷±gi!œ_M‡í`…d0ã°Ö X†êféŽ4º¯Í=”ž;$HEYi:Ð4¿¨nhy¾ö$ÿкÜÚî®­öïó›ï„iß”< g<À|U´ÀLð+Åj¾¹DñÑŠ/’ËRÈ(ó‹ñ NLn1üD#Ü2·@Ú$àÆ1ÊuñWA8@M¶q•4Ìߺo»â«¨{'íêt÷=Ë{´ß0Ìt.XAQ6ŽLƒ}§×È/b¥ m&\^Ó–øÜäÊ@’ó 9ÂÞuѽ³n6}u'OhŒ…Múö²†Ì³«R؇ÃØØ: íÕ°ž ¸Qa‡VñÁ¦lëu“õ|³Š&µß…-C~§z—­e·º>ÒݪYçžKëKâ<2#^Ô;Ð6ú¦ÿŽehÃÎýJ)ÄÎ hi:=×ùÉ`Ûn•y·W gð®;p’ºò»~ÿt[ùÉ<ôp§o±±K+Mr‚Ì4±Íïä² Û®xåA¥Œù£¾_`rW#5dŠ]!i™+FéxÔñòœ¿jž¦?^aõP†WlmUØ@¸è‰kaMÝð«Ê˜Ž™Ëh󜙻T92½ØbK{{< Uç]hUšÑq‰GÉèïN‰ãÎSc1»9DkËcåç鹧¸dMƒ„W»èЦü6©’Âe=¯[Ðâ«ùÐû˜ª”8M*1ùô¶ï8öyOrûÒßN±¬orÖ8K5´ÊÃ/ˆ} "«#<#Ûü„e±¤C@Î×ÄÞà|ÏÛ8vl"œ»”]êŠi¿n^ʾZú¬"l¼§s6û)¤È*W2mêkÙ—~¹ïþXº“ë¾IWC7°ž¬§eûB!Z͇‚¿$:ÆðTâ$XQäo×ì8Æ@Ç%*3x^¶ËÌ“‘”Ýû«Œ„Ióu?5ô‘ƒc;WšZÙÐ,9Žö—S¯ð]‚Så^{!qF³{¯‹°¢ãK­1]âøî;#o´Ã 3‡ç¤yäÖ5ë7f¹`d´ëý+§—k¼Äà“Ñ…‰ ãv#.<° †ŸÌ°x:ð.þW}ˆM(!§j‘ÖÞPRUÆ@8o?³ãG†Õ²ì¢{¾¢åNÊ“Ò B^ÿø<~Þ¬?Ãï¹Ã(¼•ˆ9ÿ{9©sˆ@õ•A&¤è}e±ó±¬ä± e9t(s‚᪹w‹-Æã¨<ð Îø{Eâîk£7@F+`“Ÿ%pK5ì½ÞÊE®v:Âø Õ`é)ÿ®Ö1u@Ä:7,µO@/33"–² “o+ EaGùPRÊé6€šjKÑïÙ\ž`uÄÛ-JSK hÔDJòeôë,[²˜æf¾6š†äö9ÿ˜Ø$¼tƒ-QDËÛ˜uÎgÉþn’æXÁÁK»wèöŠ#‘äžÊšSY{˜C—cclxKˆì›ÆëÇ6GƒLüQºåð6 ÈšqºrH Ó®"ø•¹ßŒs¾ë,ÿ›ï×éÁMgiÊOò8®½¹ñúÎb›Gôx$Z ~^s¤¤!é–FºwÂí.bŒ#@`:[i?GÞ¹Eï㽂Βþ Ty`f5‘¸ýŽ»3Ì%”%ì ¹>*7”óÖëÜ™ÕÞAï»/ÎC¶ Ã)3hfô¶G#Hî––P%›8:áè³ Äݦñ­›¸k7ÁðÉæHê$ý{®HŠ6æ~É^~vzbdìñˆ‰<±:8IõN]Ôð‰bÀäzÖ­¼‡nzƒœ\Õw’Ràsl•ô}æ̈!¹Ð¬O™3*ªN`­±¼~=óñV?M¼Ùû°*3>Ú²¾r=kÅÆQž…ôM‡Ûe^ä÷N›°Õy=‚ªè ¶(½ÃEú4ŠrÅ~Èã)ŠKf{?GH”쇂¾óã!#-•Åž^Ú q*w¿Þ¼º9Ú®÷åqªV ÞêÞ ‘›÷s† ®Rô}ÝÙOI"úÞ¦vB_œ¤wé- )¨ØyÙмXñëNÖîÉøIJ®>ê¢G¤¹Âmß²ýc™FdªØÄo÷ª[?¥(IQÙ¹iÜ{^ÔƒÏ@¤žb±X²‰ì5¤s€›³Âˆá{ P¤M;Šù¬‡¦ÏÓSa¢óbIHCÌP®iuãnÊ݇©·Å¦*'&XS—7òÓÛÿ;áÊËP¿tcúÀ+#™Á> 9~àýy3¥JÂÖ®×zÀØ/4—ö‘ýEí ×Q¸Ûäd¯‡g‚xn¤rù1è`ÓS‘v«‡Èùºà+ƒcŽ¦ ¿M—Al›8Õ…ãÁG¨‰I&Èv“bÂ[èlf#P\‰µ²17h䶋_ê, !fžÍ™/»Ó/p`ûð)Ô(;ÝýÍhz¹¡%üv~T«¢p¾).IΊʖ²k{”Pô'ófjmß7M/Dìx…i1€5³–d¶Ìqï¨uV"÷´ X¯ÿèÓ{|HŠÄQNÉtÆ$¼%h+í¶§LÁÔ–3t(•€j©UOQ½KõmŸ²Z΋\ä–bÜÒEØ`Ò™]Õ ººszF£,º¼¬[\m4f_ü‘D6låw¹#_'0ˆÂ†kGœ˜gEÇêø¥‰È˜Î1ÌÜá¹Qt Ìy´TÄ‚â“”kðuŠcGäå€mÙ^?>©:p¤t‚ƒòé>ï(ÆbŸHã¬Þz¦úR~WËr$pŽ`¾Ý„@ YNªÃÇ»p\[˜sÁÐõŠf€Á›3? ÀZp‘‚ 2*–ñÀëShšG¼¸”[/èõ:ÕDî;}Éá$ê,’–ø‘‹_‘×"±‰›]!`™ø±{ÌÞ©¸&U!8>MWë—åÒù¥O²Uó[>³É^jâoc+’mP æ ä”,O?Ï”èÏuP_•RÀ~°b!Ñ×tèî Z&5ñààTÄ6<õ”{^ä‰`Я´B¿7/4BcAØF¸›]G¨bÎÎvB%DÌÙµ¼N$~g­A³—Ðh<Ÿ`ÜX•.q•ÑÃë¹yÒòJãtkzõ„É£…=*ơʬsèWåVjñÑYÇ[¾ÞøNf m¯í®—IÜ>cÓ)D QlR$F*êÇqí½ê-mõBåEðffçxS>ð¨ÕÄ„£¡ñr‹!;‚K;ËJ47äJ vºYyA*vN71Œ«aaù©k‘ôNPeéäêUØxYÝ£tWŒ”Ï(ÄK"áD¢|¾Šß¶e…="¬Èt¦“P5Y*1áEŽI¦§ ^©œOj# ñ ÑÀ\lV–--zæS’qç9Y³A˶•çm ÙÑþšÛœ2`Á’ù0ήyø&ç„mþ†Ç’3Òs;k•ë ¥²x@0˜Êñ­xf>Ã$Q¢Kýöþüi^|i«6>ÈêH(:/òLÀÑ8—÷ îÜÎÝɨô Љ?µg^fHýòBwíÃ¥‚ð‚u‘&­­h$é©é°B” ²r·HΩ’GT§}Â%¢ÎŠÔO$înŠ3ìÆÒ» ‘Af½kÚô {w(>ÑÐ „©´í9-P7ò3/Œ²~TIÑp<<I3= ³»vø{}E­ò1íõôKÐb±~ {>1€Ð!-¹ØX™§ú‡î«°&ÇãP8bÖ7ÄTÛê<$´:bÑ]þ¥Ô^~esªsÁöbFÑ·²“̃–,üæ^õ>(ÂS0±YT~{ü™ÕÀ(]~2eúÂGsƒv5\]Q®s!º¤qˆaÕ}Vp¿¡Õ›äEb°/‰ìŽs?è,dõí ¿£œ»?izUUKEýˆ51œÒ%îâ> ¾§³@ñ©ApgØä£1Öæ!xW‘G*ì~LYù`uïû{Â-ë°Pz;6kGrRr@@.ÿvýngR A2Tl:§ÿ0•2Wš±& ’†‡fØãªè«‡šCÉ`wN|àû‰‰Á àùéMÇ-±‹V±Ò˜ìë#R˜µy:¸ûsô¨Ø–c]»zàŒSû:Å\vÛ*2VŒÒ@µKukXº‰CyŒ:kÜNir>hÈ¢ío'í”ebƒîÒæëÕxSŠuZ02Ãv £0n*TøÄ¡Ìóî° Qž¬‘%Æî’Zrfu½k-s9Ún®¨®!qЪCŽ"¦µ7`1ÚK“ʹÿ m{Ÿe3â"íº;»çZR‚Íæó#J…Ã[ß×@|!À!"Š“Ô›YèY÷.ÛëΫz>âÒã‚?-xÏSð†˜Ì¼|³vP(>×Gá„”6¿DbE]îô—z96­„Á1N9¾š%wíO“•\õ‹ÞL5¹…§gX9­^Sƒ‡¨¯Î9Ðã,‰¶%r‰$F›*n÷ÎÙÔZÏKºM¸zÄÊÖ ñ?|ÃzÃù L•Ö)Øúžw~~4íh©BFLÞð3C²]vW …ŠïMùk€2ó] RøÉ5óVaD¬¡+q!±–ÌÒoÍÂ’Ìà±Û¡:{ÃÓ[Š¿€ž²üí” ažš¤;¯$5p1ÇN½¾Sº!¾¹nkŸ¤&ò÷üóBÓ£žÄ6ñE`ùiŽG_³"4ø3ÈPŒaª²MJñ¯dÙ(gèõ¦Th®¶ÆΈ=–’ÕP “°yPŒŸAhìðô½¶I]vuŒ½Iv³=„Éxò¸C}²om .³éV½è_É ”ý®Þ]¨EŸ’ŸÞÍ¡±S*•Œ»s»n—âY8 ?v‹µ-£P¨“²M¾Å=øÅÞ-7+óO|ßN‰©MáÉW®L‰*;/¨`ô}èì8PÿnyxŠQ'Ò汫&ïÑ÷ 8Ú"*ŠÀ·²%RËø!Ð8‡„·RgE?EuÑgÂ0+î¹ðÂÜi¨ÇlmŠýlD¡JJ/ÇbÜcèBÍÌÇUǪ¿m0lá™ÇKñÑáÛ‹ŒiìãUÏD~ŠÆñFmÅš§‚g¡+w¶âKÍÛ—¿›¯¥C U6±.ݹ¤½|ˆW icÚ‹lN4ô ¢b’/åÎn˜wÖú‹²J¥DaÐy+{(4 åðÿÅXR endstream endobj 176 0 obj << /Type /FontDescriptor /FontName /ARUPAZ+CMTI10 /Flags 4 /FontBBox [-35 -250 1124 750] /Ascent 694 /CapHeight 683 /Descent -194 /ItalicAngle -14 /StemV 68 /XHeight 431 /CharSet (/A/B/C/D/F/H/M/N/P/S/V/X/a/b/c/d/e/f/g/h/hyphen/i/j/k/l/m/n/o/p/r/s/t/u/v/w/x/y) /FontFile 175 0 R >> endobj 177 0 obj << /Length1 2636 /Length2 18829 /Length3 0 /Length 20346 /Filter /FlateDecode >> stream xÚŒ÷PÚÒ ãw ww îîÁw×·àîîw—àîÜ]‚kx“sÏ=9÷ûÿª÷Š*˜ÕÝ»WëÞ9±¢ ½‰PÜÎÖ™ž™‰ "§ªÊÌ`bbe`bb''Wµp¶þWO®tt²°³åù—…ˆ#ÐÐ$5tÊÙÙ¤]¬̬ffN&& ÷ íy¢†®&9€´-Ð ž\ÄÎÞÃÑÂÌÜÄóß*cj377'Ý_ÇB6@G cC[€œ¡³9ÐÄhlh P±3¶:{ü *>sgg{FF777C';G3~j:€›…³9@èttš~§ 7´þ<9@ÕÜÂé? ;Sg7CG $°¶0Ú:Ž¸Øš v€Š”,@ÁhûcÙÿÐþ.€™ùwŸþíÈÂö¯Ã†ÆÆv6ö†¶¶fS k @A\–ÁÙÝ™`hkòÛÐÐÚÉtÞÐÕÐÂÚÐdðWè†q!%€!(ÿós2v´°wvbp²°þ#ão7 2‹ÙšˆØÙØmàÇ'já4Õ݃ñïæZÙÚ¹Ùzý™ZØš˜þNÃÄÅžQÍÖÂÁ(%ú· HÿGft°311q±²€ »±9ãoU{à_JæßbP>^övöSP@ S è¼—“¡+àìèôñú·â<33ÀÄÂØ`4³°…ÿã$šþƒúïháÐa3€é÷Ï?Ÿô@fbgkíñÇü¯3ªK«©ªˆÓþò?Jaa;w€=€ž…•ÀÎÊ ààæøü¯—òÿoîI -þŽí_þ¤lMíÜÿIT»ÿ¦áú÷\Pý½4Ô€ÿe·M3@õgøu™Ø™ŒA¿˜ÿ?¯À_GþÿMþo/ÿ¯Ãÿ#w±¶þKOõƒÿ½¡…µÇß ivqm†œh?lÿ¯©ð?ë,4±p±ù¿Z)gCІÙšYÿSH 'q w ‰¢…³±ù_óß6€¼[[Øíœ,~ß7zf&¦ÿ£­œ±èNq5ë/´QÿË(fklgò{õXØ9†ŽŽ†ðL ùbagx1ƒvÔèþ×hlíœAG ì|¦vŽð¿[ÊÁ`ú-úâ0 ÿAœF‘?ˆ À(úqÅþAœLFñ?ˆÀ(ñ±%ÿ V£Ôb—ùƒ@첈]î±ËÿA v…ˆ]ñ±+ýA vå?Ä®ò±Uÿ P,j(õ?‹ÆŠEóÅ¢õâYþA K£3 ˆÐÈÐñª‘£¡±ô(™:ÿ‘³þ#ÿÏþü£qÿƒØAÞí¬A£ó_ Ûo‰ÍŸ~Ï£É?”–‰µõ¿‚`]6ŒÀ?NAÀÿ!åø­wpíæŸ# ªšþ9 ×ÔÂõ_>~«í\þÍ21ûã¤7ûýzÿmŠÝüO& n˜{Ø›mÿe’Yü ‚"µüUÞê_Tœ?s€ª`ý{þèA¥´ùA×(ã*v/[Ðþý©ˆÚÖÅÆè÷Ígö¯@<£ÝŸ A>íþuŠ™”¨ý5ˆÃô ÛþO³Ù˜ÿ–þo«Ù@ÙÙƒ.H»?ÍcÑÞÚå_I€¾•0:üIò7r:ýu›ü9Ûo¡3ÐÄè_ dIÿU{fPzܲÿF@וždîz¥þ‰T'kC'ó¹Åû'zÐMÏèlîü×L€’wv³û×—?“ âüë ‰“±ã¿+j£ë¿ ¨ÂnÿZ(S÷A«ÇŸ AG=Žÿ¡üŸKÓØÅToç¿Þ5Ðú_ü×— Ðh ¿¼`gÌhYØþP-„ïF¿7ñq–|O#…šÞkÙ±Ãå 6‘º*ÃÃñN(q¸uuGŒêVðÑ«×IK=lHk¼RÛ³÷˧Xåé½6ø¥)ìÉ‚¡ºþpôª‚ûÞ¯Þê~V-à]Òä9.\ÈŠyn}îuýe+cÁ {JûU2/e3ô‘jº~Åsä¹F™ó¸$0ÎôÞÑ _º£ÌÝÞÍ¢gO¾IÇÒÂûœF²zio²D=Î{®}SeqêÆ#ÃÓÆýy‹>6Má%|˜$³èUR±ñq1‹‰šlc¬ŸÈ{´‹øŒGGV ‡ÉÚq™[bŒÌ§­ŽÑOó;"\ÆžŠ=M­ý ò".­©››¸DžBsQŸþþPÜ}¨#­‰œk4¬¼‡×þÖ2Ô­ÖÉ­ÌÉYí¤ŽçˆŽé6ü6Öj“ðšèkˆƒ¦ ÁÍ>W·wez)Y×wËÉSûY÷}w•Žr±sdxØ‚ÄTTŒ‚´FNòáØÛ 6]¸*î6#08Ýja¼âj+ ?÷±åŽi§pÉ<{º¹4xX'LI±¡7YÇžic}ƒ@N §‹çÌ.X.“©áy ”^1©œn?— 9¸ïùT–ûl‚FjF[ûtò±éÿ$jN;3ÄðKsS²A¸ü-f¸$»ã>íڂÂÜþxpl|±ñBÑ ŠœH)„^¶Ãùû;¤ˆ]˜$\s{+Ó¦PyŠ rlá—á‘«*ñ^3åT™Ò:½°ñ>•YEÿæî7”èo…o˶uƾÇ/ëU“~NÓžíÑ^òqªŠ¨ ©ôÓ Õ‰=K§@oØkç%á&h RôyôéŒÝèú>mx»`Éðéu"2çǨ$QÚí~¤þñÀ[ôð¬\Ó,»Mó<ö¾Ve2æÿé*ƒãÆ·{S/&ÑnoÁòƒì£L^½cƪNsïÉ)†‡be!¨õáj™9H› ë;ýU U_œ¯kƒ^„My—¯6â}ï×.Ê?dÖ'wáÿ˜Of—ù,…\È)ˆ­Ê)´*÷¬ ˆÎÀµ!9Bk¬Y“ÅëS÷…¹oÙ¯¥y+¶èRNÔžÏ>Øf¿#,Õ^´•®À~)Íá´Wêˆdc2—L›g»tÑ9ErÓêøž”–µ—ÉÒ®ã<53<’ô#?¢>CÀü&5¼Ù(cëÍò2_x“Bƒp2€bbPz*‰ÎÏRê¨Roµé‹Ò“S˜Çr цçÔ9“äÞâœßÒ3ØǯۿÐâ7œ[röŸX¾%coc ¡QãO‡Žª2‚M9„¾W[?ª¹iaNp›ôŸiZËDšÎóÅaÆûž_+®¯,DŸ™˜yÕ[䀫ŸAüAÃlævÀÒËÆX”“ÝÌÚ%X¾­[Íé¹bèy<ÍLpDÖÄ°™zyí÷UÌÝ_‹²u¨ìþ˜=TÜøËG[ËN–íŽy˜cÌÃ7fÄÈ—‡±CV_£l)½ŒðæZž¨±]$Ó…ÜÒÕã¯ñ{Ç?‹žKLÍNÉ»ìsŸù,~)RQz•FÏ׎"»•ÿRÙW¦Sr‰¾ýÆß®c™œèÞ÷!¼¯ðž/±›l=ÃЇ èI>×.ʆA8Y~£LŒ©FWðšO ûn¸•®1ä÷ü0É˾–Q h#47D›£¾8â¹6’—nŒM‚kÀª¯Š Ÿ­è Oñ¾ºz§çø[¬Þ½²rz™H¡”~û+7éÐÙ­À ð ÙÁê õ±`\-O1•å>dØ/á~‰2D ÈP¢ÈlÏ"Qòg£eˆm*ÊÓñÈz…«°J°(# rèfo Ð_ÎëckFRú®Þ~Çfp0Où}¯…Ÿ}õlíoXVâ6¶,_©f?^lPQq³&Ç]³û SÚlÆÈx;q¬Ý©ÏoDu&¬B´ÒȘGÃXï‹Å@®[[¼ÁÛaA)lå^¯Á¦¹>L/¢ªj´T¹­dÐz·1­c<î*êþ{ŽúÚÝÂŽ_ŠïÝ′„Ð>t™ê#T¹sËþ]yXŽZ×ô·ÆS…'hUxrŠS¯@*\™~‘S‹qî¼.wÉ~z ×m±—96÷Oì„¡{Ñ9Ë­/ái}t7YÅ&ÛÖì”F£FktI’w …øêC®þ-8yyÛ{í>‰+hX—q¦Áš¹ˆÎ›³ç£9FHX»³Ï4}Iè[­(#]@Lû‡ÑxæóZ;_°Sª¤ /¡÷SNr; hˆY £>x¨ÞèWè`è%ú3?Š©ž0w¹fËk¾, YÆ«C]X±< H×Ê=µ \v»õÆ)ÁÍ v©úªô܇ªY<2Ø–†U î.ÿå9;ø=_Œš+_(ÃÙ€6yÂîxù8á]e’o€'¦Á>±÷¯/†4•ã&j1P°Ô ÎR汋¿B i˜ sÎ}[k|«øå±ÕàúYˆ†¢79Qú|¹œuX½#/Ù™ ¯[ì–~=/qÁn$j¤8ˆÊöw´Gy­žÔbÆ™¸%à{/"IH¿y26eJRvj“†-ƒ¥.ÉMpElFEh£Ž…F¼ããÜ𪒵_Gû~¯NMŽ¾uh5²ÊxšªjWð"bëÃÆߤýæ8TíÕæˆÓ£¦ýÆ-V–½0'Q¹åËÆýƒÓÀÏ¡sœÑ¿`ëó²ûvR´Jw†)7Ñâ7nÍŸ .CÂî¦Fb/ n¼ÏA©vtÝp8…²VV2 ^°Ü¦ïÌÌ^èÀ­¼Ë)Úñ}gp‘å† iòçÈîÂ>t¹’®6òŸrª}ÿÞ[FÙbÛ,2•:Á‘vP¤±>Pþ ¶dùM}±4EÞ†–ûí 'ÚW ªéÞ_H%~H½Ýá$ž#ÛÈv ½Ÿ¼¿kÿ"ð.ØlÒö"Zë|Ü4̺'íá Äð“L`%‚¿ Ãju]œg,à„©™ ×[Ca,Gr«½ŠKW  ëØëõ"ü€±Ÿ0XêÉ™èŽ+ù¬Áå;9ï™{°Þ),PçûóÂC(ó•·òö)Wã|L3!ðŠl)„Çh˜Û~§^\ß$Mx‚pAZ™ œC‡^•æŒ8#rÚC Ì€R®á• ¡â]ÕÙˆF¹¢é€i¬¯*‰)A ”ð>ù—f1EœrgŸØà ‚^ ‹¬ïqpâOsj.Š1,FaCTÓ€»¤xbœV¦Ð†KgÔ&9¾þ¯šLàžÌddXM>Ï~|Ì–{Ûœ¯dl5@ðêú:ÀA©ìëD®ª‹Ò¡] ÏÚÕÇŸ>ÄêGK¨vTFFÇ™⻪¢˜×©Lž±¿^HÁŒó¶ù*êá w 7ülÁVïú•ør˜Ø*I—@2$žïw·c$œ=91ô²È彺"1™µ¾v¡ËÛ*‰o;°c̺QåN¤9ƒ™ÃL,À³‰µ…Ö’´‡ŠíLJø}[€¼eú>Ñ,0\¥ ¨ã™–  òŒl˜S'?‰ž"BZÒ?½ ì;Uäp½õt)ˆ4 €ûÚgá^o<°fขNáØ}@€„,uz ƒý£å?Ú;?$f•cè0Ü=-²ó ê‚ÞŠÛé>ÜEèpìó®D4=„et½)q©JU+÷ËtK3£,Éx“w T<ð=Ûå SÉäö]e7üØ_¾ñëyºÓýðÒ7ÖsLßæ°«l nh¹ÍZÿæ,¯º*ò:¹HTàrØöÓãz$Ãôhnµ“uDòõúhÚÝøŒ þÐïCs@þHóý©ìÉÙÄ);]\ÞÓ¸±-­øÙŸ]âóø—¥Þæ, à˜åë‡9“rtðð=#'OÊ®!ž½IC ¡ú²T~6\ZøWˆ"v—Ò„ªWOñ’¡Xà\%Z[MضÍS“^/5ô~(íOﲜßf|_Nœû°òŠ¥Ý빇f• V¶pt½F \ÖÞt°Bñ‰ŠoÈZX{B£_‚8{uçmýƒå¥‰Ž}¼J}ͯ°úV‹P}Õ©`Ù•Üñ¾rãÇ>m=¬ðýü”S©Ü¼zòW겇”¤ëžMØ2éŸZê?GÓ¹êO»™{^aLH¥e™±0äê‡0HúÓŠÇ”z .:[L›¦f³ë;ªø̬?G^$DzkUÉL~ôSÙû©wb/Zàû –}^ÒiÓÿùvkà˜ñj»õ똕:ÁšË¾Ùî—„×ܯ ç¨>”lÖ‰S {‚U]Ÿ¤6Z8ñÒ'½bô¡<=èMÇqÝ‘Lñs;ƈžÐ9¥7¦~>.Îvß׫d–îPf¿Ç÷ôÂk91j(œ5¶R4z÷yÀl ž)·¦÷ûCѸ'þŽÔlq ’j@óWå2²YºBBÿ’SÆœCa°‚Óm? ±®žºÔÁ987µûŒS¶ä¥}t›E!Z-4À%=-ÚH‡¹Øš¦ÌÏ­øÝž«­|ë~jû"S‚ÁÉZùÁøÙ¢z­£6.™ÁÏ> Gxb ªF Úhó-ŸÓÐ>±†«çÕŸãåÀÔã³)‘DÀ.¨j8¾ÜBFF*µ –NŽÒè¡èÂjñÖЦz <ž’”…Ü™à4Qøž¿?è ñ5Ø0ö ¯jµ'‹Ç ‡Ö•†DŽo †0ÅãhqÛ’[^J:e€=Ò|~ …^7>üqW–Ðh«‡®ÊLÁ–’ køe¨¬¢’ç½Ø\0%ï‡_AÌØ€àŒ‘/”x׆Úë‚’Ùowœ$¹F¾ª3‚I$Jø nö–éXñóæšÌ÷u¼”·%SÐõúE(|“T×_žzØ%º\¨Ÿb 'ôð‰>Á™$ÓZ—«’xZpTruTWXÁÎ ~c “tí_f°aƘêÞ–[-?}60«Æ"pe&rŽ©äWŽIjï£%+£ãÿØJ×9{/”r¡¬8F«heÁw¯¡ ¾_ƒ´ybê<¡§8f=}§êE£Ë¤Š0NH>$üc/G>±Vš)!Ùïíì—ìe}‚f} ÒõGÑCy˜=~C?tÇv¶ÅøyA¼G“β䞄×*vÌ:ˆãÖ v VŸ¨©2m“ñGE ˆ7§òÍX®¿Òæ¦ll¾ú¦­ðŠUTÉ÷éeHzW¨Ä÷Vׄ4Ho‡º`»Š/F?ÔïTw·  ”Y ßÖâ?¦î†îK®U8±Ã÷/ç=]Ĭà¾ï„µTÍPS `~ÀÔø`«æª¦L„ú‡f—OB˜b¥Ï™eµÍýºÔ,úDëœÀœËB-´€ìµQòp±c°X[^â©H£4Zš¬²¨¼gBCt`-†³m„a9RŠ áÖáò©¿—€i—µðS—Í÷Œ‡_”~ÞÔ¹˜ÞlçÁÿ¤”‚“‡ÊkÛÆp°,û™J ?u’6[K›Õ˜+„>8ýaÊ1o»­”ƒBr*A„{ÁÆÚû;§c-úµÄ#9OÈ•´ã¯F¾uªr3 ýÞ¾úºÏUîŠG0ú¾2Ûësx8=›ZOZA¢£ñ$Í d˜¦Mœ„É?Ò6|ÐZâ4GwíCX_2(·iUƒ€Þœ·Ÿ³Ý¸Å;ã`F≘.ðc) ;ïÌÁà¹åÑð>Äqû·¹Xï;ïJûºÁk{7ö`B“‰ éLZ„//fHîÁžk7;xß³z ÅzŠoi±ÝiÀ.©HŽ¤HogQ~Ã$Ï(6ÒéBSøþ³Ÿ+[Ù-d£eP¬‚=_€$KcÏÛ—w¾RŠã<"A‚R×$üPæñÆɇ%ÏKIˆÚí½ô±3¬æf–«K„2:+„jº{¬‘7á瓧8¾#–çnN<#!Ÿ ¿ìÔ÷…²šs ÏŒ¨”*:Ó­N|“jDTqB–RmŠ˜Ÿs½B_6äÁ)·Y¹Z“yWXÜŸ29Ø_vÀ+¹ƒM;ÚíH>)…Ö¥ºzþ¡"R¹ñ±wÆcñYgîyNŸ˜¾ˆ™¬š]6a] MŠžÿö|‚Ô9sˆ iº4÷9EªT4di `²ß,j£Ñ˜¦M œ¶¤kU\ÃÖ$XÎgRYË%ÕH²É¿Â5íÀXà“™œ»¶]ŸÝæ.AIv]ÀŒiN0ägœ3‰^þ¹—¥†“ñPºlÔœo);fVÃzb\M)ÙK†¡òŒö0Å(ÛG,,%OΣpTŒ:}‚;Þ¼"E`z†Ž;óš·HÍtí"_ÃÁÀ°ï”Nô J ¤? WmšÏ9ü<ÂàB$æf¸šÄï¢éë’•»ÿ6xqnÔ•P$'ƒ—lèed'“.µo;­h׌ï6oöáŠ5®g>Ò;V¹ÓáƒÚe9åS)Ê>¸ÊÓ‚Ô‚ºn슞łªÙÐ×HOÚ ŸN-ƒ *ó%°T•PÊs¹¡È…’ÃÒŠñ¸FÀ‡B6Ï–]”~ÙŠ7,rÇæÔBŒ2¨³A¼¯™F^]\”’9mZ8ðÓõ½×¶ùð½$u¿785FUXc6°d÷\„ÕøHvªüØô–ÝðkõÛtU6%ä¶4±ek‘¿) ¼|\«ˆH ¯êˆ+ ßì¡:!î]s!†q³¸C^˜OOr£máw>²û¶.™E_p ÙV²ÕuÆ6iò>—9ß•Ç034ú / ÎöO¿Tyí–óñ¥»žÞ¯6o`y.Ü„ð=!ŒƒýLšÊ_ãs„YÇmð#É0òwnLI!ó8š*[ÈU?èi$áö.ÌÌñç¯í0Af¡Ý~!R,ŽkÒ ù -2<®u¬âç wÂTwä;oÓê?±ÐÝ ³§XÃ>‘xOïÃæÿnn{™¾'§YJ¤2Ú‹y¨%X(,ŠøRÅn÷æz )tÜ´Ô·“‚h‹T(£É9‡ž<þ:>€4²ã'þ¨i½úÜ)k×Jś哈YBHg´VÏi·]Þis0ãB#MD®St¯ÌXäùL­oÒlVXN-—”dŽ´éÎi¯!ûœÔÔ6_e5Æ”ævd9ã©+êÌî|›ü‚¯cÇcIB»ÛßL¡¨bé¯4Ûð(Õ8r#wþ<œU·–ïmÒS ˈ(‹ º0Y[Ü1ûðùtç»åPça9x'¶1kú©N­Ã<ÙúÉr^ß¹Åâû›0§ Ƹ¦×„wœù~hžÔi8­À±Æùô¢úíÖ›”zþ|5ô,ÞÖmõ6==ÆêÐJ>Ëä\wxºBkØû,ª$Ž×”Ó’e¯Þ^­@ úGIo|Äí!5‘¦ˆ>Áv¢û5šNZÓ¸´ ýE JâI^VžFÇ/€Êñš\ÿP¾aª‡V픸e™R,Fª;mQ›r~V}ýGg‡œ=Lžáþ/õŠÕ·k“ÉÍV7N•6/§_šX·Pi7–ƒóïÏ“«È(3ÇÐÜÊîj¶$¡g½/ k¡GNšIÁ\/$nfm=dÚbž¯»À2*j1r•oWË¿:›Ì³«¸²S¥“ø×!Š…ïp‰ÖæQ²Ð]£ Þ_zu?J3%!Ÿ­5ž¨›ñ" 5+N÷k«µ‰Ûþ0OÄvZ¨Û@ÁVm¢BÊ?Ã-òi²©DÛ«Ež 7Õ³ÌÖ >Jk"‘¥ÄÆ‘TÒ7ç%Έëݱ¾8.ú!\xpº OP)ðEïŠ>:eˆCz«$ï§ßMgä©{/ëîì"åó»,ËÍž¸_»býÅŠ¤é¯SÂ_¹¢Ä¥ ‹¡X=µHâ5qYf?f¹`h:&LŽZ²mGnÑÏË/§}’¥_Â7Ïfk‹Ñ¼Q“ÜûXdÆ|ˆã†‹‡]MÕÉ|ZʱÈ?Sê1ðûZ-ðeã PЇûp3ËØ‹Æ‘»~-bDƒÑì›.`/«¡ím\õso¢BM>‹f¹ôõî ¦ò;b±Ÿj7Ìã\ŽLj»ŽÒʉ—ÙÍþ2$Qˆ´‚` ›÷ù5†¯„²"íJ¢ºÚãö°¼êdxë~BtßôÝOhÆQÜÑs\<ôcÄQ~yË|,T¨×Y”l7ú7?&³Pnˆ&pŸA·À$¥(–‡”ÿ^5—ÈûØh;F'‹÷©C ÕÃz 5äºúºîb¡žU+0CxUê9hêc7|KŸ¤Å>æR(ä»k'wFåx/“jKÆCR6Ž/TŽ<\0 ?øuþhºqYìÞ_êB+º¤¿†ðþüŽ×åÙ(í5¹õ)ITt#³O–Öήوäª%¶Gíå±±U¢ï£a¢Ðz³¯å· ŽÄ>p=ƒ*—‹T~.–÷n¼#( ˆà*™Âm1oæË*ÆEÝ¡ÜÔÛRˆB…¸D‰;Ú(©Ò6®€ÒoË?x±´Ú Üs¹à„cw@lÂú± îÜý¨sþt ˜HŒ/H.»ÂÞòºŠå—Öa‘o7¯FZ—<ÏD‡SÈÞ-ÔŸD ‚ë !õ×äW…âOÕd2ëš| ÂÿX(Û›‡æ„)âMÿi †É]6.¹¯Ê ƒ’…–Â0>Çß±ÂéÓ7È9¡â‘5WbN-õ=\ak"[–Ow „B]†Ÿ…çÓ ¯…”h¹?û×y<¿0ÿØZÆt–Œ`f:•õU—}F%sm¨«ëeBÇuAàh £6Ã÷ËÌ–Üï!.§ Óõ ´‘z¾l±Ïö™sâ½+ô¢©$ziò§_%#t¡Ôo‘À ƒ"?ˆfkòŠƒ/·;Åד§u~;1^ÝÓ EûìÈå*hAtâ©kÉs²ÝŠ3G JGfÊSTjÓ¡aËQTíB€m–GâÖ…½~)Àï÷ÝRq$w€£Sá‚_Õ³AŒæ«òa*OƒL”–XŠ‚»µ>äî©PA6l[6Ó…{ª×]b”™ÕläÄ.tÃjdåƒÆÙi#t»$¦€N±CqÞiO1û±A±ƒKÓÝÖùšÔ³g½Íbœ]eW$„*¼9€‡-xb[)ŸøIÕ8H$kL+ÍDÏ–c0ÚáõB8ƒÝF§× *EÐÁVqýiÁþ¡F«C'¢,›ÿ6HÖ©BˆŸ(€3ñ±ÎÏg;Ï¥~jŠTƒ³0Êiá]­µ½•cuñ&lšM Ê„—VÜÊL3CÃÑKiK%–bE.-X u%bŽ;RH÷D—Xðªëü8"ŽÞéšé‡¶§4ûŃm>V’Åš‹† íúŒÆŠú˜áP£Z6Ìu•Ë{':$¼#4Ã<Ô¶–=ê/ý~·ZýŠÜ*"TU;0¸Ç 憲ý°Ùb’.ÛN]%WࣱÖ[µ¾>\1jó©Ä™V¾‰åU3{ ‹´k̘ûÅf‹OJf²áC¤Ø~ñ’ßfÓ'~Äæ shRxºë@´Ã\©6iAZ¼uÝ‘ö’ˆ>†éY‡¦=Ì„¾/0qI8gªâ5ŒYù€™¿6Ñ“á_Ëd_3a+˜¥ 窖žEz-x­bàÚüS¾(¥/ca«†**Þs l®Ç(ÓõëÎg/ál‹ÑácØ‹ë‘"­’eäÁ!&PÕ‘ÓÍ[Û×h@’ëLåJ ÞËN”–âßò¯<²}PCm^à÷#ÂØ-ÔªãŒ[RÅö‚¢"1,rº$Fè*fÓÑ£y׊×þýsY3ߘ ï GY"ƒU›L{3¬œzÁî 3¡žã;Å­¾~ 2Ð’Gë‡Jàvº~à÷¼L1—«®g¼@Þ¾ñõúíQå]-"?«ÂBÛÊÇFDcÞé²}–8©P²U-“袇ŸÓ¤ÝccmÏqfCàþÈÎmºz¨(:CˆÞuO&ÃǸlIŠùk÷¬ °ŽèÂt®•„Ÿ“„£l!DŽmÞZ!Š;Lþ´æsåéYY©ü²ó| ê éÛ~uû%šÉ {êè•áÄ£ÂM8.ÁºkYTPåÓ|š©†EâV¦~º’BÈë×ÏTñ íç—¤ZÀÊ};Ø8ïˆK/ØUäzÎZ+|Ï>")Ÿˆra!úH£óÅ/j6„ÄjÙfÝwLè‚_ZçÕÛÙ)òìPßo'9û‘ŠSwÞw´}’¾‘¿óTÊ8m2d f~ä"¢’ülX“áEõ¹ÒhÈTÓ-î °|Ž’ÿíéMæDá¸à¬7h¼S6ýòGæì‘\nÛM¡Ðä…†÷ ¥4A¢,…5nÁÂÄ™¶’I7v¦D§ç¡ìÛ7"œtRyqŽ@Á0ӣ܇Ÿ—¤ΦÒ»Õ%•ò‰;Ë3\ëMH1ýü%Cœ8ÌæùVÅh_të¬nŸŠÃ`’ª_äé¿ÑS–D}}Coao×ÃÕpƒ¾¸¸Š96å m7çlÁ³±ËžA²(Ãï~ðù9Äni!Í6Hhõ½1ˆð.æ/¡nJRÍÏÛ‰7“|+ÀBI¶’À‚D¯Ø&¿«ÖjC˜ÔWï²ð؈VŒÅÎêç5®ÁzNœ½—¾eÏÝFg)E@ÛÊõyü–·¾q– ¤Ì=j)h õÐzCiXXGù8‹e²®$mԟݼ1 Ø3ОÅjëyÆŸÂz|”˜¿<ßIÇ#¡Tɯ›—7yB ÉNÍéFhÃJ‰R!ûAtj â'Æó„ÍWúÑ7šŸCnóÆñF=péˆÍÉÀ©æ¤â½ÖÄKIëi}ÂY.ñMa{¹,±È +ìE_ œ‘ # ô®ä²!qP>;ašž:ñ+nUýäÒÞõ6Û¡´‡—O ºö€œÆqñ6–z ÑòƒkêßÌÐûÝMòÕyÇÙ¤— †‚¼ïy¬²PêþTû*ñæê©u.Æ(J¾)jáJGJK xpAüÛ»v6f¤v«m ÃÓ B!ÓDK<2šÃÒ_øö—ø=WTWÕ|:Í± –­ê¦Õ`~ÚE*<í~[ÍŠ’× %Ã5÷шãÀ+YÖ©Áæ ×ûÝ¥ì =¹uÁ‹~Qjß ´O‹x’fÚ<õ˜aM»q^k3ãØ19“:éßg[·MÐ+Xé|s ×°­Ù¨žEM{iu\Ná¦sœÊ{RæXþe|Îe÷Ç‚‚é`¸„SÂð¹×}i…ÀÊø0laùQ /)ªÇ+úã»õF&®3­|MJ¤ÂxZåŠ=&dÌÏØÞ´á¡æK«œ®YZ…ßò‰…™‚i(Í’®!ô‹Ö5BM·á 3‘ÎI 5ì¬ò†Ñâ•é½ Ó&>*îüž]ü–p7K'ÆÖã¨t¡—z~T”è\sÙí#¦Qb5UK6P}à|›…fø–\Œß&–ȳäQT ­0 ¬’’à5p(…1àˆÝ*Ý­Ûm¾8%N&{ŠI­ÐæV‰˜.€¼Å)i½Æ-â‘îlùB-ܪ?܃^Š:…£Ú1°,¢ìÄ„KMJ ­u¢`@b'åD ý¨´k¨òp1!5õq‘ºqrš[ù;;»ÖçV^»zk©Zg¤qïÁ„M~Íd"†“6Ë®ƒh/4—1êg ÕúÚ2„ïe¥p¾üu[Íù-»×ÌíßJ[ôM»ÌQ6…ƒÝ[ vÏW[5"ù>˜S Ï ’ôC¸„æ9e˜ýĵ†“Œ‘éFŽoDkc9S'^O$:‡K•Ñdm¾;MÕÕí3M»X̜͌tÉ:ªƒÏfÉWœÐ˜õST¥RšQA¥4Nþ.aöˆ¢W×þFÕécµµñ”ºÿã‘‘á¨d<¡ùå}Y«¦Q°ªxY.-؉m­½Oô6þÓ#d˜\EZ~ð6á'*þ$õÁVçJTèNdx'ð óåát«0ã„ñ¡L_Ó©ÌLtA8¡VA`”ӞʚµQ^úxº°„˜¹ìòpnZ=ƒCàf?ù~@Õ½Ï\Åï[úÓÞÊ;œˆ³»‚èaèÔŒ›3Dí2õçiþIÀ~ ”ëÔ•UŽ£gYÙQ˜m -ʤïÓ*Mú>νp¶éŠ½…ûÜÄgè'VµIÛ¾}óÿ’-³¿‹þ"àJȧS«× !ÈÚ×úc†Ò22»Ì€Òéôþ ߣ½Õêà.õ˜ Ïžä@˾Íly¸T™Ñ#½–.¦r8~Í;3¬Û¸ºli$±¸ŠcI³î×z‹T>±aBxd?Ï0}"êñµâ‘¨“h!>C ¶Ø&î|¼´¤–òt£õÞ}(¡|8 $M˜¿ÂÐ\³_5T7 Ë—^Ñ)…:*Y§ÊÍÚmІ\ePOÅ+¢E,ëUoiePb'‚ují& Æ’€¯{ÍL œ³˜èüå’¨uæsÜ7°×DKf+].pÝðïR.¿ˆ?ßÃø!JèÎóÍø9”„$R^gHøtªF°$Êtõ%}ÄrÁ¹/3TH´úÐræÜäÏdÄ%;Í@£×N¶%çèœäOHŽè¨ŠPÖRøíí ã ¤U¼«×ÃÞ8çêK½aíö”Ÿ|Æ69Q:{¬\¼›~bã.oÝ)Fb^£·H}ØÎ>AØKá)ìYÛלö“e«ž—ûãûGÇVÞï€$üp%}!5²ù •¯h†t¥·¸'lgñ¤ðÛÒX™C§ N‘©)Ëî—Ÿ‘~ɧI^’4UB—ó}ϯ­ÁCd>P Y–‰‚zÐÉ]šœ×of@”óSÀyW¦¾€—òÁ™¤>Z‰™§¢š¢ñ8@§–ïÑûêöe3/³»¾Ižà)ú"ìÖÎk~¦Ç&a^®èûE†JSà=ªìùÅ`è;józŸ%,„øøæFy¹ü]xŽ×þé}Ô‚Ål¢¼QÓ7N?€TûZ¯;²ˆÑ¸ÎW3+wqÙTËòÕRPy97Ž%ðf|¨tN«¬þh®Îm|ìT xy®í†;ÈRuÛ¨ƒ9ím²WÂô!#ðYÂ;´¸D5§ƒD!]û„t#{;°<ˆGñŠ˜švµû}Șƒ3‰iS‚°?'œÎN|»ZÛº6‚¡ÙE‡tC6Ë¡ê¶*îߺ…ŸåŠ:AH tÿúNQ³’†,ôƒ é{ã}Ò-%&2TNTª%ÙÍüæ"Q+ÏýÚÍ̪´VoU+?8)äž®I"¦d|T¡YÀƒgì1÷;ØšÆZ˜{ÌQ ž‡y ÙOP ±œ]µo$hzN$诸­¤°Á½”2É*‚×!Jd‡‹šöGÑû=üâOŽÊRý¯vÞx\À_ð8à‡BpoeEþëÏþ:P'÷ÔùƹÄ:c¸R®–™ÃE.½ÉŸ‘LI?ò}±½À©öjí®å5O«6-´ž9 yŽ¿3êÙ¾Ž&šêëôX*I€UÊò,(#ƒîé´ôýɼ9oCŸ”Œx´VL»O7¢–YD3¡þ¾-u?ªý°Ö„kühPƒJåZƒPK ¨mM3b u½lŠ3 ©èøqù3ØÈ Dr Üxr RqŒ…<™iÕþÈ5þngEÂ#]d±ýžºŸdt´Ž=5qƒ/7°ñê Ö]cVöé¢_¼’Ù.y¸©ÔŽOLÐèb¦ÄY#\]¯Õ#œŽFFÂÛeo9ðl}[üh,bâÔQRÅHéD¯;^2Êò½Ï®¢Þ …ß#çÄÅ‹­ø?+ßÛ^t¢¦lDŽ4*wn·WÆ»ôxÃឨÃùÚpùÁè̸‡Àd¡Jm1qÊ_Û37ø+TN¬ÒLï^1¼D]0ÞkùˆT¤ï°¦°Dƒ¥–.âÇ )Ú±ö)¡®T"¢Bà:íϲQšë_Q‡Í$÷ }¢"B×™sàà½QDN'J|©ÎßÊ´ŽxN n¦êRáaßÃ@#º6âfí‡2-lÁ«&Xø¶ûU½ðöœáFÜòÏYä1.ÞÎì,¾ÏçNx |g^qƒH.Èþ.—'—ÿH4¸µBno¾N¼ŒÎ û¾jI PÀôƒ'º LŠŽEGB\¶Vá ˆ'ÁoÀ|tŠ0ÂBN¬–Ëi¬ï µØY?K¾²à+å"6˜y 2›«üš‡€ÑÈ—q96UZ)å°•!݉ÙÌûá3Sµ^´ËûgT–6|†àð'.η$5–ÅiVˇÆá½¾P!.CL–$ë ÂÜœe…eXUnwCÓúä3£% Ÿka‡±è²}ÞRBà)½ûëâŒÞ0l$V¾yÞñ0€~-ã«H³eŸo˜±DýUÍQþ·Áæ¤DÛžÔ]7þg˜]¦ÃurŒzYŽ¹¢‚ä/¯ËxX5ÝEèkp]”Ý8ïÈmØ”ûE¾nj ãoù4b#(çÅ4š|1îŒ3Yí,£/j^?þ’ÞAOt{.«çŸOb/iÙ ¿´Œ;*9§ÊNÔ$åëÒ@gôë#WxˆŸo¦ñX¹ú¦€ô¯"y=ò꘮P—A•Ön›zÑá_»Ö6(mþqH°êÌ~ž5å¥ÅìÌÖ·ñçzøÔŒ©Ìõd9õ¦B9 ¯†‘ràüxë[£ÙD^Øý"$)žÚnÝ#ÅPnkJç‘.»%ÔKû2r›ÚËwlxacãün¾_†­=‰ò2å8lÍÜê§÷¥uéMIï}'_¸›dmEÅa[Zq(´šSœà!1Žêûk䟜‘½2ãŽÕVq*²´R>Ðì-©;|íº¦é'°&Yñ$FŽ†§ãN’óÎøá܃ù|÷]!Ÿ˜Öªª›|q¯+¢¹àf1†®¿<”K:{zøá'Rš•Y/?„{v¹íÚî¾î*8ßS#¯;«ôzêCt¶„;^™Z¹.ƒŒ/Óá¨âÞ楕/ƒqVÖ UNMøIZ:¢n“‘¤¡· kAz™_Â$¢«ÅYÇeèPSºWQÿ‚󊌺R•0löàµ#X­S)¢l<ŽhøÝ0‰TŸ+$æÐÜt˜ÂÜT[ù‡S0MÜ™éãSµ‚S=ÊÇAÍ0r™\XVÚÂãc%2ª£9±Ÿ£¶®»ª²Þ›JâJg³P™çf‡#E^:¦:Õ© Ð--¦vS£\áó»¯8M`p»“\3Ø*Mx&“¶ï²Ô¶Þ‘ES4Ì£d|í0«.\)âàìSw<+y&<½:«Œº è.“‰¥¤½®€@C©*zTü&°Ås=}ؾ¸vÔqEÏUèÆ“yÑ,6àJþY)ѬaÆzàþŽï2Äé}wžØÔçnþ£Mþ¾ýþ4o?A’úmÝ©Û®Ó³sÒ~Tn˜CQ›úSÐçqO ¢G©ã°ë`FËejŸ2¿Î¹•zÆ«ï`ê(ù¬å©H&u!1Ò‘»í"=¾&éL%¹Þ%ôÒÆ4»V§®üŸj£ ©ÍÅ刔D5zŒÞ•ZíèHµb²'O¼Z,:YF~Ü„þÒ¬F.¼¡ÝÔ±@ ;rE²—µx8x´/Ãü£»ŸVË„€WQDYÉŸj A˜ï¾z>w#t%á£æYa "å/,>~p6٢¾c½„68-ÎÁÙ¬²¬éHjÉŽÜÁÎçh2í°·«…áù.rí³‚w·QM¸ |ž©Ìè&¢æÇÞ]ˆ‘&%ÄöŸÈݶ´™wŠ6˜Ž XKém[”Î†ì ŽiÖ 0ˆÝ»Ä”øÒ&Ø?û?)¿;¬ÙûòxÜ'áê’ÃQµX©¸8t9Ÿä@}r%™$#ö~f1‹(H@ÂŒHTþ˜ls4ºH½ëz¨a%,Òs(´ð‰V‡X#j¢Åƒ¾Ù›P¼kÝ‘úò}îþ@”¯¸cì܇ü›­Žœ~µ«1$Úq*ÅŠ¯‡VÛEUZŸv C^;çÐØ‚'"{uä ¦:C~ p£Ü&=¢lÉTǧ í~¼òöv?§k5²[4M„ú 2¸àõÌ8Ë5øù}çàNž˜_ÖKrtPqƒ˜I’&tñ ÀI÷ÜŠÆÄïØ C߯'f \ì$X—pVs ¥ƒ9·‡!Ì`÷IgÁ'|„ƒÿê#‘²¡Í ÞìÅf$>UÞצ×Ϫʀß{vTÆ/«!ôˆÂ´F¦ä•‡ <€ÚÛ!H-‰ìîÇaW; –Œû…¸s±ëºóäÑܼ±8Ü6„EíµÝê#‘ßnîÜ—;>à÷¡èÏjLýÌA&|ï8½¹Dÿdë!kÐx"ˆ•ªs"ˆÈ¾…ÁÙÁ=á,6Bº?ˆÔ¦[¾~XG®6 <ì`§S,&I1v×(ắ5£h˜sÌ·h›¼þUb,‰+ØÜ@–ª¢;ÿÂÚó;Ô'RͲµuì‘\v߇E2zá]Ìî5xëËû(~-F.{ ×­>¨éxÞãÅ›TuQ¢ðV1w¹”Pd"EÒOÈÅ´<=?7z6ë¯ Ã”ÐÚ^“èƒ'Q88Yöc Â?.‹3„ÊÏåZNM´@\"–#üºøÅœ#I±N2QráZ¬”<¶ó£ôuÚNNƒÉ.Ó|UÑ é$®KcfÓ ñêÁ@P!ÿ¬P7ôXàlAϧcéæ“Ùô¢¾ÉÔÚ'yê‚ê©WGƒèZthQG–wpwÖŒœ2ÄçJU*A(5[ÛjjË`…)‰ñ2ñ|ÙÊöõ‚zMâÝ)Òþí¶‹ü ;Ø”­j±e%#wÜ`ø½–v%Y)`©pí¾“2³*Qi)Ü0ß«~URhžô=]¥r²w!u‚oجÙZ˜æs¡˜u.P;¯DïÉÄ’w¨ø—:gtØ­&Úë’K4Ðø¢Ôµ;Kà)g¸ |•Žì ½Yú‘Íi™z ez¬cXmu+KpÀק®ë׬®aÈí^.á‡þÍËÈX ´B*}Ëe‹±oH®¦}Œpt¬µ–Â1†ÃÔÐb:W´Kä­å¯õ¸4‚uø©¯8 °j•³äK‹ÝviëÊŽÙ>/6­ „P»»µ8šmqT£')¬ÉšÑŒy g–ê#®Ûx?I¯iKEÂ̶¬ÐÕêÝôéˆRþ=&Ì£ëTúX»zY™B€\±Û(­>£%+OàEÄR~Ø,“¼…’ ®Ó\ ô}ñ½t4ô°”íPb%«Íè¾&fTW˜×!ê Ä ¶©:cÓ‰é™ôl9;Bðùw›º~ÆÎ˹è›TÈÒž{«R!kUÒ0pHrÇÝô•_Û0^cMŸ#&Ðúk¯´¸+Æ8–ÍœflªPRý ?–ŒãßC0é$˜z@XXXxÝæ—yEÇEs%B©°†åJ–…äèT´‰ï¾ÔMíÍ* i–]å—š:\ƒoþ\EE]„ÛcÉhõ3^{â î3]™+E‚4c–……Ýh.0¾ÊÌ`/5·–*AÒ>R¯Ùa¶)%3ûždnbZ¶Ÿ*.VÛx _ïE¬ ¯f@y“‡WG]puÖ§3R)ÔäIù(}T7ú6­>W‚*P…¥?jïPOX‡±ªYÆPeÜ”RD~©ÝýœþI¼*DÙŸ»‡$ ÚEÅÙ騃¡yÀ¬ÒÁfN;cžü’®‹’ˆH]o¹×=9ÅNY¨Üµ‹¡¥}¢F,IR±Ý…tvöµ™Aø§Lé’í×å„Q“þX éF£3âÛmQøqéùã[ÔÌ_WÇ—ð˜ßÎÑXÕKæýÞ=ü c‚¼Ø©²«$Ž¥u3 HsŒ_xŽR‚'KÓ…ƒ°×J¾åKhœžûñ"Ý“nÂÇø2‡òÊmW¼ ©3ðp¶49""MqJâí!ÃW¸ã?­Š4§Ã‰Œ£ xÔ㈑ٻ j9§“~Ù©ŠÝë$š)0¿OÂ+>KŒãá¢HJÓÿqC™Ì9@qßAØéŒÁM·™±DA¾ èÌ-Ãc©Íq¬WÏÇœCú*êÖÔà‘.ÖLÌrñØ|˜ËÞßlÆÿù&C…ýöøCŒI›oúä*Ô‡ÂÔ›×i–O'j£6pòã'às¬ÓØËùÈ®@O1ØCAMwxÐl¦M?çHAÍ*¼» -Ýœˆ®›ÍÇ\Y,kVûùŸlï‰tnß¿FBvãŽQ­F¹¬ q9Œ=h:’mdð‡|ÖÞ¯ça‹¨®w¼á’¥‡½ªSSG ­ÖxîN½p¬Fú¨müˆÁĶkVPÂtô™‡¢†ßI€»" —·´Þó‹_–xù¦ñÿ£ \ò3Þ__ÿ‹mp/e¯UÂUŸ´x僋XË+Å}î´ým †Á±¦I…°ýjc£ñî0·eÞR>éš`™àÈ>ô`,²àÄ 3Ï~ð;Jœlàaù¸€’€u7€xäþ¬ãÈÜÒÓZ9bÌ¢iŒ˜âž%•(‚UV\$‚$ðÊÁ} (¸  5v¦ùGóm…d[g.0˜àÖx1wÓ¡wÓ8ã/Ôjy'?ÜÂòu4Í;Z`ᛨ¨SÔG %B#±×…5øR+ƒÎ°o‘“«·Ó<1ßÚøŒ¤€›ªò ‘ }¦C…¨s\dßGqò§Ó ¶-6ã1ØÉ–Õûà ³ž¾a­žNáÈÕÓq•X ">Š†UòÃO³Ð +o‰5gXh]fì‡ÏºÊ~ <¸Älê oíP^Æ«zu¹è±ËbÙ™iI”˜›Ñjƒ‚#;òªÉs$N¿þz9Ío:7ýf®,õƒÊWÉp_t¶Ž´‚£®Ý%ã,ù·¤Òê½üzþï¤M»%)lÖu?N†F‡Lðï,°U¿Òæ¹ÇÝYc`¡e!q-+²êt&X™æ[Ž_&=ƒÑÞjæÃt/Fü"¯\åeå,%-àh0Z‡çǹ\2~‹÷ úiùèmÛ3U0Lû›„‘X»Ê”`ŽXNÁ Q=8S¤„¿U>Õ@{ë9KöMte kh„a¢5²‹>~H•z¿¹×tö¨þÒJ <¼=®F?“¤ðÁ›³x'èTœ~•Féý±Ñé%ôX„«—¨Ã…v׫•C$ÍaibØ™[çKüÎ>l°Ìg3²åÕYæƒzŒAPñkÊÞ(Ö{à7F¶gD#M¾,%žÎèØæQèŒë¥ZØ.00>'š üú'v÷âÅîëo'‡l×ÞžœHÊM“‹Ð€ç¿;òáqá¬ØSD’I}кºa%oÆåòóýOÒ76Ç°£HISÅo °Ú±Œ“öžWs'–3#ízáA0`gGOc,] Ñט¨ˆ@8¿–£híe³Ö8zNÿ}›E N³ŸZ„©fë9~Žó€àÉé$n‹›¢CKKh8“Z\=ñÚfÝ~Á%P$![D‡zXkíÆ@¹øæÍ'=VüÆÖFù_Õ@`%xa@æaRêíD"’ èÃÀ7'\æ5 )+m˜—»w"¼€Ë\bú©ó‚¶È½): Ha1¨G›Êë'-ݱehˆN|È1ÔÈCòŽ,`9ÜY؉U ¸©5Ì”¿\Šz>‘ÏÜ s¬ ´–gNµa>™:µ´3N/s½Çæç-Ò’2›R°^ ?R`o#‹I$éýÒ0¥ÿ^¿#!¥ù*!û¤ ]”«ò!}0q–dT(dúç²ÃÁô’%ׯ©™ åÜšé”Û/I¯¼;'…±«@VåÛܪŸAqE øi·Ho*ØïT”{'f8!Dg1b [E½fÐÛ‹£¾>Ûd †-œnU£c]ÇJÔ$AåHhøŒäBÁâ]â”UJ/ë­·âþ¨à Õ¹~‘ÆÏ6êHÛ‚²CgÇcsÅdÌd3r+]Aæµ8ï)V¶ãÁZá ,¶Ve–ߨ,XH—_Í@`qO a2fXµt_7hU¦×ŠM[áÔݼú´q+kw±\°Ã•oçKº‹!?TÓzž6[bk™è»Ëa¼CI+ >ÂnÚ^6'NxÕ}¾Ö{o%Åd»˜8_œ »JP üAc|ÛžnÛ¡ašœ%ÉHšù§#{4à­àµ+%€åÓ~"¾‘ÛŠkfp¤?æŒÿ„?´B¿ÈaèoˆwíÞ¦„ÓhÄ‚¹‰À£ß?yÁKð$ëb–@\â@Ð\ «¬npee5“ /Ù¦Eɪ\¼¢m5Ãø¡ ÚP§_’ Æ ÜSz¢\Ÿ„Å_å*£/:1¢ ò«×>Jõò6¥yÒ¬*?ÝÏN®øžÓ_rïôùWjcöQSs#Þ’àòßËÛn>„¨«D:hF½!Yï‘OsDñÜ^¶’:CŽCÍuhñÈJ“ÆÜ ÞR b?CË9…©åÃNé}é@3ìݺMQ›±þmí.»ÊÆb~éô>ª£_Ïç$By"L&ÑIY®¹—æê³Iœb‚UHÉÌe½2¨ÃHzkQ?nÙ#ã%^S£$æ>]¾ÀKœ•yÞ*À»‰7댺–u‹à ¿Ÿ„L‚/þQA¬es:=ò/Vc±+haæ ³ÿÜ,ÁrZ›€=BN­…¦Øô×ô€K-Áqûì¶û‰Ì?ï-óé8¥‚‰’'ÙÃ]úקB›¥adQ”“îåRZ‘ô¯°þcÝ< ¶eÃŽ^þAEJcñw ’pZÀ²/y)SœË [pâ{¶CûçŒÑXæû0/G§ú\<Œ*÷ÒdnÁ¡¸ ØíÁ+•îžð ¾ŽáÖƒbæêgžBù»#âëºMjjD¤ÙÏ(òAM"C}‘dJ¼x uý…­šMŒjœB¿€0å(¿íôðÚðâ,¼o÷-vÔ`ï4¶º’¯ˆ±ßøð–w+¡?Í aå ôñk–#"#Å‘“½Ë@‰fgô±2µxkVQêÁžµ´µv·@vA•ßÐɺ’¡€q}ÂŒoumMŽ™ûòtÞß…Pvå½,æqí fDÈ_Uµœ™~é¤Å©#ÙŒ_·LO"NCêô¸¹§ñ„¢ñäYw´›Ñˆ¡[íJ¿¨ËÍÃ8øùýËx"L0ôª·Eh{†r-¦í†$©R{Uø•4óÓ›le(hýöpÍWþëË8;æ?ÿ ®þDâl>îc‚åJk‹3Þ>NÁÖ窈uÆ$=¿±„›N¨´#è%kHY¯ð…:ð Œì¢Ýœ’r¸x§6ìké/ªØÅÙ«µ—vÐâÓä}’,]ˆôv¾òŽ—»”ÑvN’ïÆñíÕ*ˆ˜±¶1J÷µ¯ë>ìJ-æcÿï‡~±…åyà•Èƒ¥”–9΂;©“!šžÅ](ϳ[ýãŽSr•?£âäsy6”Ƽùúê7Íd¥(§Ce°¶Ðj¬÷ÝFÑC¹ø¤“^Ù.) ØÙ[\]òFLÏ“\ê¨çø‚ßëì"÷á²Û©ôUy+†ÑðI=¶ß–yÕ¬5ûB+ŠŠ4ÍE¦•û •¬ äIô‡ [ÉÛ$ó˜‰0ê÷_(pÐxÜxÍyÉ ‹ÍK—”yz-`‹"G<§rKÚ…øPQg¸—6éæÑ¢-¸®8£QpÉrœö‹+†Añ“þ”l(¡ð})¨5%Àµs£éPlm Hê g³î€ªznÔšQ•«lÐU D-–±xgªNµäW ûÎÑðH̸‚mêcÊ8£ÓÓÓÿrñå1ÌöU7aرáä%( Z-cÏ¡/‡hË’åg,¡¼¿ÓA*yí4KÊ¿t¨:x‘  ÿÀÇ7~s`ÄtâwzÁÅq4x–ºø#A™yTPÙœŒQ³¸ñ¿_?dåA&=tŒ™/V³^ž]÷aô­Â-âH=”àuðO~v DüÐKùŒEȧ`´Î¹8®Žè¥~l\ps–ãS}5wº„¸ÕòL~•î¹õψ{”§¯ÔŸ7GÔoS(8ò+Ã&hkþ³•r@%É$aÆÎ$‹«Ký&¥Ô·¶BËjêyFŠ~Ðée^¡NòŒ´ˆYˆÿjM}M±µ.i±®©BK#> òã1ääïÔÉÇwâsÆÙ÷¡0ÕŽ!Ô¢AÉƽWE¼ÙCQúžY¹PƒÇŒ··éF´_ØlÉÉTM€‚k,gÆ—û×ä=wY!=åP¤E3'9Ýßöˆg-q”6aLÝóy~~f‘«€ßà‰Þ¤È(p‡₪%¹f%µ½ò‹òiÍ.GF‰¯mRü­c“‡åƹ5ûîÛåu.ûÔ Ë9pZP²R‡!yÔ±DÄ…n|x¤b1†ãgÏ8­ì?É„ÝûoÀÿôÈc÷±v9×RŠëo’ÿeĬ|3Å®£Ä¾m¶½\m°‰”?™îAZTð†‘£ëÕ/\[nÖËXAnõÂßwº|Û’ù·L\¤¬óz¯ÈŒù+QÙ±¶KjÔÞ„ÉĹ‹ÌY×. ÍO2ˆû2}^Weß­±´ÑoxßWÑ)áö7dT2/P.Ù=¡ônhdלW|ÿÅŒƒfV"µ‘ŒŠ;†QxÔ¬kd'ÄáÔ#’Þ£¾’ B•z;¦ò—¤Î»]JÓü˜ÙÂögüF3_—¢ÿܲœÅ‚OF\ÜÔ›å/L®Qz½hOHÌQðM?Z ÐË'ª|LÄÅæ¾ë1 X{ÃDg“_6Ã,»áxº‰°ƒyÞ1«’žTƘ¿g%“Gã šHt/in¼Í‹ÂNBâZÍoêî|Îñ`á`•fB/:gmôÁX¤š§\^D> hÀÑ£9ŒÔb endstream endobj 178 0 obj << /Type /FontDescriptor /FontName /VJUTSF+CMTT10 /Flags 4 /FontBBox [-4 -233 537 696] /Ascent 611 /CapHeight 611 /Descent -222 /ItalicAngle 0 /StemV 69 /XHeight 431 /CharSet (/A/B/C/D/E/F/G/H/I/K/L/M/N/O/P/Q/R/S/T/U/V/W/X/Y/a/b/bar/bracketleft/bracketright/c/colon/comma/d/dollar/e/eight/equal/f/five/four/g/greater/h/hyphen/i/j/k/l/less/m/n/nine/numbersign/o/one/p/parenleft/parenright/period/plus/q/question/quotedbl/r/s/seven/six/slash/t/three/two/u/underscore/v/w/x/y/zero) /FontFile 177 0 R >> endobj 57 0 obj << /Type /Font /Subtype /Type1 /BaseFont /XWDESN+CMBX10 /FontDescriptor 160 0 R /FirstChar 45 /LastChar 123 /Widths 155 0 R >> endobj 55 0 obj << /Type /Font /Subtype /Type1 /BaseFont /IZHHLM+CMBX12 /FontDescriptor 162 0 R /FirstChar 45 /LastChar 121 /Widths 156 0 R >> endobj 58 0 obj << /Type /Font /Subtype /Type1 /BaseFont /XCMUCK+CMBXTI10 /FontDescriptor 164 0 R /FirstChar 80 /LastChar 116 /Widths 154 0 R >> endobj 59 0 obj << /Type /Font /Subtype /Type1 /BaseFont /HYIGHR+CMR10 /FontDescriptor 166 0 R /FirstChar 11 /LastChar 122 /Widths 153 0 R >> endobj 54 0 obj << /Type /Font /Subtype /Type1 /BaseFont /PCORMR+CMR12 /FontDescriptor 168 0 R /FirstChar 18 /LastChar 118 /Widths 157 0 R >> endobj 53 0 obj << /Type /Font /Subtype /Type1 /BaseFont /JEJKNU+CMR17 /FontDescriptor 170 0 R /FirstChar 14 /LastChar 119 /Widths 158 0 R >> endobj 70 0 obj << /Type /Font /Subtype /Type1 /BaseFont /SFRDZZ+CMSLTT10 /FontDescriptor 172 0 R /FirstChar 33 /LastChar 125 /Widths 149 0 R >> endobj 61 0 obj << /Type /Font /Subtype /Type1 /BaseFont /CAUXYO+CMSS10 /FontDescriptor 174 0 R /FirstChar 46 /LastChar 116 /Widths 151 0 R >> endobj 60 0 obj << /Type /Font /Subtype /Type1 /BaseFont /ARUPAZ+CMTI10 /FontDescriptor 176 0 R /FirstChar 45 /LastChar 121 /Widths 152 0 R >> endobj 62 0 obj << /Type /Font /Subtype /Type1 /BaseFont /VJUTSF+CMTT10 /FontDescriptor 178 0 R /FirstChar 34 /LastChar 124 /Widths 150 0 R >> endobj 64 0 obj << /Type /Pages /Count 6 /Parent 179 0 R /Kids [38 0 R 67 0 R 73 0 R 77 0 R 81 0 R 86 0 R] >> endobj 94 0 obj << /Type /Pages /Count 6 /Parent 179 0 R /Kids [91 0 R 96 0 R 100 0 R 104 0 R 108 0 R 113 0 R] >> endobj 120 0 obj << /Type /Pages /Count 5 /Parent 179 0 R /Kids [117 0 R 122 0 R 126 0 R 130 0 R 134 0 R] >> endobj 179 0 obj << /Type /Pages /Count 17 /Kids [64 0 R 94 0 R 120 0 R] >> endobj 180 0 obj << /Type /Outlines /First 3 0 R /Last 35 0 R /Count 9 >> endobj 35 0 obj << /Title 36 0 R /A 33 0 R /Parent 180 0 R /Prev 31 0 R >> endobj 31 0 obj << /Title 32 0 R /A 29 0 R /Parent 180 0 R /Prev 27 0 R /Next 35 0 R >> endobj 27 0 obj << /Title 28 0 R /A 25 0 R /Parent 180 0 R /Prev 23 0 R /Next 31 0 R >> endobj 23 0 obj << /Title 24 0 R /A 21 0 R /Parent 180 0 R /Prev 19 0 R /Next 27 0 R >> endobj 19 0 obj << /Title 20 0 R /A 17 0 R /Parent 180 0 R /Prev 15 0 R /Next 23 0 R >> endobj 15 0 obj << /Title 16 0 R /A 13 0 R /Parent 180 0 R /Prev 11 0 R /Next 19 0 R >> endobj 11 0 obj << /Title 12 0 R /A 9 0 R /Parent 180 0 R /Prev 7 0 R /Next 15 0 R >> endobj 7 0 obj << /Title 8 0 R /A 5 0 R /Parent 180 0 R /Prev 3 0 R /Next 11 0 R >> endobj 3 0 obj << /Title 4 0 R /A 1 0 R /Parent 180 0 R /Next 7 0 R >> endobj 181 0 obj << /Names [(Doc-Start) 52 0 R (page.1) 51 0 R (page.10) 106 0 R (page.11) 110 0 R (page.12) 115 0 R (page.13) 119 0 R] /Limits [(Doc-Start) (page.13)] >> endobj 182 0 obj << /Names [(page.14) 124 0 R (page.15) 128 0 R (page.16) 132 0 R (page.17) 136 0 R (page.2) 69 0 R (page.3) 75 0 R] /Limits [(page.14) (page.3)] >> endobj 183 0 obj << /Names [(page.4) 79 0 R (page.5) 83 0 R (page.6) 88 0 R (page.7) 93 0 R (page.8) 98 0 R (page.9) 102 0 R] /Limits [(page.4) (page.9)] >> endobj 184 0 obj << /Names [(section*.1) 56 0 R (section.1) 2 0 R (section.2) 6 0 R (section.3) 10 0 R (section.4) 14 0 R (section.5) 18 0 R] /Limits [(section*.1) (section.5)] >> endobj 185 0 obj << /Names [(section.6) 22 0 R (section.7) 26 0 R (section.8) 30 0 R (section.9) 34 0 R (table.1) 111 0 R] /Limits [(section.6) (table.1)] >> endobj 186 0 obj << /Kids [181 0 R 182 0 R 183 0 R 184 0 R 185 0 R] /Limits [(Doc-Start) (table.1)] >> endobj 187 0 obj << /Dests 186 0 R >> endobj 188 0 obj << /Type /Catalog /Pages 179 0 R /Outlines 180 0 R /Names 187 0 R /PageMode/UseOutlines /OpenAction 37 0 R >> endobj 189 0 obj << /Author()/Title()/Subject()/Creator(LaTeX with hyperref package)/Producer(pdfTeX-1.40.10)/Keywords() /CreationDate (D:20131014203341-07'00') /ModDate (D:20131014203341-07'00') /Trapped /False /PTEX.Fullbanner (This is pdfTeX, Version 3.1415926-1.40.10-2.2 (TeX Live 2009/Debian) kpathsea version 5.0.0) >> endobj xref 0 190 0000000000 65535 f 0000000015 00000 n 0000005646 00000 n 0000204551 00000 n 0000000060 00000 n 0000000119 00000 n 0000008804 00000 n 0000204467 00000 n 0000000164 00000 n 0000000237 00000 n 0000015788 00000 n 0000204381 00000 n 0000000282 00000 n 0000000360 00000 n 0000024616 00000 n 0000204293 00000 n 0000000406 00000 n 0000000465 00000 n 0000026956 00000 n 0000204205 00000 n 0000000511 00000 n 0000000562 00000 n 0000039619 00000 n 0000204117 00000 n 0000000608 00000 n 0000000639 00000 n 0000039677 00000 n 0000204029 00000 n 0000000685 00000 n 0000000752 00000 n 0000039735 00000 n 0000203941 00000 n 0000000798 00000 n 0000000892 00000 n 0000041061 00000 n 0000203866 00000 n 0000000938 00000 n 0000000969 00000 n 0000003558 00000 n 0000003755 00000 n 0000003905 00000 n 0000004052 00000 n 0000004202 00000 n 0000004352 00000 n 0000004502 00000 n 0000004652 00000 n 0000004801 00000 n 0000004951 00000 n 0000005100 00000 n 0000005702 00000 n 0000001019 00000 n 0000005476 00000 n 0000005532 00000 n 0000202667 00000 n 0000202525 00000 n 0000202095 00000 n 0000005589 00000 n 0000201952 00000 n 0000202238 00000 n 0000202383 00000 n 0000203097 00000 n 0000202954 00000 n 0000203240 00000 n 0000005289 00000 n 0000203383 00000 n 0000008555 00000 n 0000008860 00000 n 0000008428 00000 n 0000005867 00000 n 0000008748 00000 n 0000202809 00000 n 0000043433 00000 n 0000011559 00000 n 0000011395 00000 n 0000009001 00000 n 0000011503 00000 n 0000013470 00000 n 0000013306 00000 n 0000011664 00000 n 0000013414 00000 n 0000015845 00000 n 0000015624 00000 n 0000013587 00000 n 0000015732 00000 n 0000042874 00000 n 0000018618 00000 n 0000018454 00000 n 0000015974 00000 n 0000018562 00000 n 0000042273 00000 n 0000021109 00000 n 0000020945 00000 n 0000018747 00000 n 0000021053 00000 n 0000203493 00000 n 0000022461 00000 n 0000022297 00000 n 0000021214 00000 n 0000022405 00000 n 0000024674 00000 n 0000024448 00000 n 0000022566 00000 n 0000024558 00000 n 0000027014 00000 n 0000026787 00000 n 0000024815 00000 n 0000026898 00000 n 0000030111 00000 n 0000029880 00000 n 0000027132 00000 n 0000029991 00000 n 0000030049 00000 n 0000032898 00000 n 0000032729 00000 n 0000030217 00000 n 0000032840 00000 n 0000034483 00000 n 0000034313 00000 n 0000033004 00000 n 0000034425 00000 n 0000203607 00000 n 0000037186 00000 n 0000037016 00000 n 0000034589 00000 n 0000037128 00000 n 0000039793 00000 n 0000039449 00000 n 0000037292 00000 n 0000039561 00000 n 0000041119 00000 n 0000040891 00000 n 0000039911 00000 n 0000041003 00000 n 0000041991 00000 n 0000041821 00000 n 0000041225 00000 n 0000041933 00000 n 0000042073 00000 n 0000042521 00000 n 0000042547 00000 n 0000042608 00000 n 0000042644 00000 n 0000043122 00000 n 0000043148 00000 n 0000043211 00000 n 0000043248 00000 n 0000043681 00000 n 0000043707 00000 n 0000043768 00000 n 0000043804 00000 n 0000044195 00000 n 0000044578 00000 n 0000044991 00000 n 0000045454 00000 n 0000046077 00000 n 0000046307 00000 n 0000046762 00000 n 0000047215 00000 n 0000047771 00000 n 0000048422 00000 n 0000065460 00000 n 0000065807 00000 n 0000080617 00000 n 0000080954 00000 n 0000089779 00000 n 0000090020 00000 n 0000113152 00000 n 0000113630 00000 n 0000124039 00000 n 0000124323 00000 n 0000135357 00000 n 0000135615 00000 n 0000154353 00000 n 0000154885 00000 n 0000164139 00000 n 0000164399 00000 n 0000180669 00000 n 0000180968 00000 n 0000201435 00000 n 0000203716 00000 n 0000203792 00000 n 0000204622 00000 n 0000204793 00000 n 0000204958 00000 n 0000205115 00000 n 0000205295 00000 n 0000205453 00000 n 0000205556 00000 n 0000205594 00000 n 0000205721 00000 n trailer << /Size 190 /Root 188 0 R /Info 189 0 R /ID [<9EC6B92A996D22CA57FCEF9E559EE135> <9EC6B92A996D22CA57FCEF9E559EE135>] >> startxref 206047 %%EOF BSgenome/inst/extdata/0000755000126300012640000000000012227064204016242 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/0000755000126300012640000000000012227064204020573 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/1000genomes/0000755000126300012640000000000012227064202022527 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/1000genomes/BSgenome.Hsapiens.1000g.b36female-seed0000644000126300012640000000166612227064202031142 0ustar00biocbuildphs_compbioPackage: BSgenome.Hsapiens.1000g.b36female Title: Full human_b36_female genome from the 1000 Genomes project Description: Full human_b36_female genome (from the 1000 Genomes project) stored in Biostrings objects. Version: 1.3.17 organism: Homo sapiens species: Human provider: 1000 Genomes provider_version: human_b36_female release_date: Aug. 2009 release_name: human_b36_female source_url: ftp://ftp-trace.ncbi.nih.gov/1000genomes/ftp/pilot_data/technical/reference/ organism_biocview: Homo_sapiens BSgenomeObjname: Hsapiens seqnames: paste("chr", c(1:22, "X", "M"), sep="") circ_seqs: "chrM" mseqnames: "supercontigs" nmask_per_seq: 0 SrcDataFiles1: human_b36_female.fa.gz from ftp://ftp-trace.ncbi.nih.gov/1000genomes/ftp/pilot_data/technical/reference/ PkgExamples: Hsapiens seqlengths(Hsapiens) Hsapiens$chr1 # same as Hsapiens[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/1000genomes/human_b36_female BSgenome/inst/extdata/GentlemanLab/1000genomes/BSgenome.Hsapiens.1000g.b36female-tools/0000755000126300012640000000000012227064202031426 5ustar00biocbuildphs_compbiosplit_human_b36_female.sh0000755000126300012640000000331312227064202036214 0ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/1000genomes/BSgenome.Hsapiens.1000g.b36female-tools#!/bin/bash # # Run with: # ./split_human_b36_female.sh human_b36_female.fa # Then test the result with: # cat chr[1-9].fa chr??.fa chrX.fa chrM.fa supercontigs.fa > merged.fa # cmp merged.fa human_b36_female.fa set -e # Exit immediately if a simple command exits with a non-zero status # Note that in 'head -n NH $1 | tail -n NT' the NH and NT values # were obtained from R with: # library(Biostrings) # fi <- fasta.info("human_b36_female.fa") # fi24 <- fi[1:24] # NT <- fi24 %/% 60L + 2L # NT[13] <- NT[13] - 1L # NH <- cumsum(NT) head -n 4120830 $1 > chr1.fa head -n 8170017 $1 | tail -n 4049187 > chr2.fa head -n 11495049 $1 | tail -n 3325032 > chr3.fa head -n 14682935 $1 | tail -n 3187886 > chr4.fa head -n 17697234 $1 | tail -n 3014299 > chr5.fa head -n 20545569 $1 | tail -n 2848335 > chr6.fa head -n 23192594 $1 | tail -n 2647025 > chr7.fa head -n 25630509 $1 | tail -n 2437915 > chr8.fa head -n 27968398 $1 | tail -n 2337889 > chr9.fa head -n 30224645 $1 | tail -n 2256247 > chr10.fa head -n 32465520 $1 | tail -n 2240875 > chr11.fa head -n 34671347 $1 | tail -n 2205827 > chr12.fa head -n 36573731 $1 | tail -n 1902384 > chr13.fa head -n 38346542 $1 | tail -n 1772811 > chr14.fa head -n 40018859 $1 | tail -n 1672317 > chr15.fa head -n 41499315 $1 | tail -n 1480456 > chr16.fa head -n 42812229 $1 | tail -n 1312914 > chr17.fa head -n 44080850 $1 | tail -n 1268621 > chr18.fa head -n 45144379 $1 | tail -n 1063529 > chr19.fa head -n 46184980 $1 | tail -n 1040601 > chr20.fa head -n 46967387 $1 | tail -n 782407 > chr21.fa head -n 47795579 $1 | tail -n 828192 > chr22.fa head -n 50377476 $1 | tail -n 2581897 > chrX.fa head -n 50377754 $1 | tail -n 278 > chrM.fa tail -n 213994 $1 > supercontigs.fa BSgenome/inst/extdata/GentlemanLab/BSgenome.Amellifera.BeeBase.assembly4-seed0000644000126300012640000000132612227064204030364 0ustar00biocbuildphs_compbioPackage: BSgenome.Amellifera.BeeBase.assembly4 Title: Apis mellifera (Honey Bee) full genome (BeeBase assembly4) Description: Apis mellifera (Honey Bee) full genome as provided by BeeBase (assembly4, Feb. 2008) and stored in Biostrings objects. Version: 1.3.19 organism: Apis mellifera species: Honey Bee provider: BeeBase provider_version: assembly4 release_date: Feb. 2008 release_name: assembly4 source_url: NA organism_biocview: Apis_mellifera BSgenomeObjname: Amellifera seqnames: paste("Group", 1:16, sep="") mseqnames: "GroupUn" nmask_per_seq: 0 PkgExamples: genome$Group1 # same as genome[["Group1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Amellifera.BeeBase.assembly4/seqs BSgenome/inst/extdata/GentlemanLab/BSgenome.Amellifera.BeeBase.assembly4-tools/0000755000126300012640000000000012227064203030656 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Amellifera.BeeBase.assembly4-tools/NOTES.TXT0000644000126300012640000000204612227064203032151 0ustar00biocbuildphs_compbioGot the assembly4_chromosomes.fa file from: sftp honeybee@genomes.tamu.edu (password: beehive) cd assembly4_chromosomes (information provided by Brian Herb and Rafael Irizarry) Downloaded the file on March 5, 2008 9260 FASTA records: o 16 big records (> 7M and < 30M base pairs each) from line - to line Group1: 1 - 427631 Group2: 427632 - 657235 Group3: 657236 - 851830 Group4: 851831 - 1026927 Group5: 1026928 - 1234081 Group6: 1234082 - 1487498 Group7: 1487499 - 1671056 Group8: 1671057 - 1859475 Group9: 1859476 - 2017804 Group10: 2017805 - 2198414 Group11: 2198415 - 2405872 Group12: 2405873 - 2567431 Group13: 2567432 - 2714100 Group14: 2714101 - 2856625 Group15: 2856626 - 3001765 Group16: 3001766 - 3102808 o 9244 small records (>= 564 and <= 167350 base pairs each) GroupUn.1 to GroupUn.9244: 3102809 - bottom (line 3809863) Use the splitbigfasta.sh script to split assembly4_chromosomes.fa BSgenome/inst/extdata/GentlemanLab/BSgenome.Amellifera.BeeBase.assembly4-tools/splitbigfasta.sh0000755000126300012640000000210212227064203034044 0ustar00biocbuildphs_compbio#!/bin/bash # # Run with: # ./splitbigfasta.sh assembly4_chromosomes.fa # Then test the result with: # cat Group?.fa Group??.fa > merged.fa # cmp merged.fa assembly4_chromosomes.fa set -e # Exit immediately if a simple command exits with a non-zero status tail -n +1 $1 | head -n 427631 > Group1.fa tail -n +427632 $1 | head -n 229604 > Group2.fa tail -n +657236 $1 | head -n 194595 > Group3.fa tail -n +851831 $1 | head -n 175097 > Group4.fa tail -n +1026928 $1 | head -n 207154 > Group5.fa tail -n +1234082 $1 | head -n 253417 > Group6.fa tail -n +1487499 $1 | head -n 183558 > Group7.fa tail -n +1671057 $1 | head -n 188419 > Group8.fa tail -n +1859476 $1 | head -n 158329 > Group9.fa tail -n +2017805 $1 | head -n 180610 > Group10.fa tail -n +2198415 $1 | head -n 207458 > Group11.fa tail -n +2405873 $1 | head -n 161559 > Group12.fa tail -n +2567432 $1 | head -n 146669 > Group13.fa tail -n +2714101 $1 | head -n 142525 > Group14.fa tail -n +2856626 $1 | head -n 145140 > Group15.fa tail -n +3001766 $1 | head -n 101043 > Group16.fa tail -n +3102809 $1 > GroupUn.fa BSgenome/inst/extdata/GentlemanLab/BSgenome.Amellifera.UCSC.apiMel2-seed0000644000126300012640000000230512227064204027217 0ustar00biocbuildphs_compbioPackage: BSgenome.Amellifera.UCSC.apiMel2 Title: Apis mellifera (Honey Bee) full genome (UCSC version apiMel2) Description: Apis mellifera (Honey Bee) full genome as provided by UCSC (apiMel2, Jan. 2005) and stored in Biostrings objects. Version: 1.3.19 organism: Apis mellifera species: Honey Bee provider: UCSC provider_version: apiMel2 release_date: Jan. 2005 release_name: Baylor College of Medicine HGSC v.Amel_2.0 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/apiMel2/bigZips/ organism_biocview: Apis_mellifera BSgenomeObjname: Amellifera seqnames: paste("Group", c(1:16, "Un"), sep="") nmask_per_seq: 3 SrcDataFiles1: sequences: http://hgdownload.cse.ucsc.edu/goldenPath/apiMel2/bigZips/GroupFa.zip SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/apiMel2/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/apiMel2/bigZips/GroupOut.zip PkgExamples: genome$Group1 # same as genome[["Group1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Amellifera.UCSC.apiMel2/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Amellifera.UCSC.apiMel2/masks AGAPSfiles_name: gap.txt RMfiles_suffix: .out BSgenome/inst/extdata/GentlemanLab/BSgenome.Athaliana.TAIR.01222004-seed0000644000126300012640000000214612227064204026446 0ustar00biocbuildphs_compbioPackage: BSgenome.Athaliana.TAIR.01222004 Title: Arabidopsis thaliana full genome (TAIR version from January 22, 2004) Description: Arabidopsis thaliana full genome as provided by TAIR (snapshot from January 22, 2004) and stored in Biostrings objects. Version: 1.3.19 organism: Arabidopsis thaliana species: Arabidopsis provider: TAIR provider_version: 01222004 release_date: NA release_name: NA source_url: ftp://ftp.arabidopsis.org/home/tair/Sequences/whole_chromosomes/ organism_biocview: Arabidopsis_thaliana BSgenomeObjname: Athaliana seqnames: c("chr1", "chr2", "chr3", "chr4", "chr5", "mitochondria", "chloroplast") circ_seqs: c("mitochondria", "chloroplast") nmask_per_seq: 0 SrcDataFiles1: ATH1_chr1.1con.01222004 ATH1_chr2.1con.01222004 ATH1_chr3.1con.01222004 ATH1_chr4.1con.01222004 ATH1_chr5.1con.01222004 mitochondrial_genomic_sequence ATH1_chloroplast.1con.01072002 from ftp://ftp.arabidopsis.org/home/tair/Sequences/whole_chromosomes/OLD/ PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Athaliana.TAIR.01222004/seqs BSgenome/inst/extdata/GentlemanLab/BSgenome.Athaliana.TAIR.04232008-seed0000644000126300012640000000232012227064204026450 0ustar00biocbuildphs_compbioPackage: BSgenome.Athaliana.TAIR.04232008 Title: Arabidopsis thaliana full genome (TAIR version from April 23, 2008) Description: Arabidopsis thaliana full genome as provided by TAIR (snapshot from April 23, 2008) and stored in Biostrings objects. Version: 1.3.19 organism: Arabidopsis thaliana species: Arabidopsis provider: TAIR provider_version: 04232008 release_date: NA release_name: dumped from ADB: Mar/14/08 source_url: ftp://ftp.arabidopsis.org/home/tair/Sequences/whole_chromosomes/ organism_biocview: Arabidopsis_thaliana BSgenomeObjname: Athaliana seqnames: paste("chr", c(1:5, "C", "M"), sep="") circ_seqs: c("chrC", "chrM") nmask_per_seq: 0 SrcDataFiles1: all the chr*.fas file from ftp://ftp.arabidopsis.org/home/tair/Sequences/whole_chromosomes/ WARNING: This is where things are today (Oct 1st, 2008) but is probably NOT aimed to be the permanent URL for the 04232008 snapshot of the genome. TAIR might update the content of this folder in the future with a new snapshot and move the 04232008 snapshot to the OLD/ subfolder. PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Athaliana.TAIR.04232008/seqs seqfiles_suffix: .fas BSgenome/inst/extdata/GentlemanLab/BSgenome.Athaliana.TAIR.TAIR9-seed0000644000126300012640000000170212227064204026401 0ustar00biocbuildphs_compbioPackage: BSgenome.Athaliana.TAIR.TAIR9 Title: Arabidopsis thaliana full genome (TAIR9) Description: Arabidopsis thaliana full genome as provided by TAIR (TAIR9 Genome Release) and stored in Biostrings objects. Note that TAIR10 is an "annotation release" based on the same genome assembly as TAIR9. Version: 1.3.19 organism: Arabidopsis thaliana species: Arabidopsis provider: TAIR provider_version: TAIR9 release_date: June 9, 2009 release_name: TAIR9 Genome Release source_url: ftp://ftp.arabidopsis.org/home/tair/Genes/TAIR9_genome_release/ organism_biocview: Arabidopsis_thaliana BSgenomeObjname: Athaliana seqnames: paste("Chr", c(1:5, "M", "C"), sep="") circ_seqs: c("ChrM", "ChrC") nmask_per_seq: 0 SrcDataFiles1: ftp://ftp.arabidopsis.org/home/tair/Genes/TAIR9_genome_release/TAIR9_chr_all.fas PkgExamples: genome$Chr1 # same as genome[["Chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Athaliana.TAIR.TAIR9/seqs BSgenome/inst/extdata/GentlemanLab/BSgenome.Athaliana.TAIR.TAIR9-tools/0000755000126300012640000000000012227064204026676 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Athaliana.TAIR.TAIR9-tools/NOTES.TXT0000644000126300012640000001013412227064204030166 0ustar00biocbuildphs_compbioSequences ========= ftp://ftp.arabidopsis.org/home/tair/Genes/TAIR9_genome_release/ file: TAIR9_chr_all.fas R code used to split TAIR9_chr_all.fas into 1 FASTA file per sequence: splitTair9ChrAllFasta <- function(filepath) { NAMESMAP <- paste("Chr", c(1:5, "M", "C"), sep="") names(NAMESMAP) <- c(1:5, "mitochondria", "chloroplast") chr_all <- readDNAStringSet(filepath) shortnames <- sapply(strsplit(names(chr_all), " ", fixed=TRUE), function(xx) xx[1L]) if (!identical(shortnames, names(NAMESMAP))) stop(filepath, " doesn't contain the expected sequence names") names(chr_all) <- NAMESMAP for (i in seq_len(length(chr_all))) { out <- paste(NAMESMAP[i], ".fa", sep="") cat("Writing ", out, " file ... ", sep="") write.XStringSet(chr_all[i], filepath=out) cat("OK\n") } } splitTair9ChrAllFasta("TAIR9_chr_all.fas") Masks ===== This was an attempt at putting built-in masks in BSgenome.Athaliana.TAIR.TAIR9 but it didn't work! (see below why) The first published version of BSgenome.Athaliana.TAIR.TAIR9 (version 1.3.18) has NO built-in masks. Assembly gaps extracted from ftp://ftp.arabidopsis.org/home/tair/Genes/TAIR9_genome_release/TAIR9_gff3/Assembly_GFF/ file: tair9_Assembly_gaps.gff R code used to convert tair9_Assembly_gaps.gff into a UCSC-like "gap" file: tair9GapsGFF.to.UCSCGapFile <- function(infile, outfile) { gff <- read.table(infile, sep="\t", quote="") if (!identical(levels(gff[[3L]]), "gap")) stop("some rows have a feature type != \"gap\"") if (!identical(levels(gff[[7L]]), "+")) stop("some gaps are not on the + strand") if (!identical(levels(gff[[6L]]), ".") || !identical(levels(gff[[8L]]), ".")) stop("field 6 and 8 are not empty") gap <- gff[c(1L, 4L, 5L)] gap[[2L]] <- gap[[2L]] - 1L gap <- cbind(gap, 0L, "N", gap[[3L]] - gap[[2L]], ".", ".") write.table(gap, file=outfile, quote=FALSE, sep="\t", col.names=FALSE) } tair9GapsGFF.to.UCSCGapFile("tair9_Assembly_gaps.gff", "gap.txt") Problems with those assembly gaps: some of them have a size that doesn't match the size of the corresponding N-block in the sequence (as reported in TAIR9_chr_all.fas). Email sent to the TAIR curators on Dec 14, 2010: ----------------------------------------------------------------------- Hi TAIR curators, For my project, I need to use the whole chromosome TAIR9 sequences provided here ftp://ftp.arabidopsis.org/home/tair/Genes/TAIR9_genome_release/TAIR9_chr_all.fas and also I need to know the exact locations (and sizes) of the assembly gaps for those sequences. After looking at the tair9_Assembly_gaps.gff file (from ftp://ftp.arabidopsis.org/home/tair/Genes/TAIR9_genome_release/TAIR9_gff3/Assembly_GFF/), I found that some of the assembly gaps listed in this file are not compatible with the N-blocks found in the sequences. See at the end of this email for the exact list of problems I found. My question is: what could explain that the size of an assembly gap is not the same as the size of its corresponding N-block? Is this really intended? If not, is there another file somewhere on your site that contains the actual size of the assembly gaps? Thanks in advance, H. List of problems found in the tair9_Assembly_gaps.gff file: Line # | seqname | type | start end | NOTE 5 | Chr1 | gap | 14545722 14581721 | NOTE=Size_36000_centromeric BAC Pb: the size of the N-block found in the sequence is 35998! 15 | Chr1 | gap | 15345855 15346528 | NOTE=Size_674_exact sizes of the gaps are unknown Pb: the size of the N-block found in the sequence is 60! 35 | Chr3 | gap | 13589757 13589816 | NOTE=Size_60_centromeric BAC Pb: the size of the N-block found in the sequence is 56! 76 | Chr3 | gap | 15132295 15132547 | NOTE=Size_253_N's as sequence needs to be verified Pb: the size of the N-block found in the sequence is 251! 93 | Chr5 | gap | 11725025 11726024 | NOTE=Size_1000 Pb: the size of the N-block found in the sequence is 998! ----------------------------------------------------------------------- BSgenome/inst/extdata/GentlemanLab/BSgenome.Btaurus.UCSC.bosTau3-seed0000644000126300012640000000250412227064204026633 0ustar00biocbuildphs_compbioPackage: BSgenome.Btaurus.UCSC.bosTau3 Title: Bos taurus (Cow) full genome (UCSC version bosTau3) Description: Bos taurus (Cow) full genome as provided by UCSC (bosTau3, Aug. 2006) and stored in Biostrings objects. Version: 1.3.19 organism: Bos taurus species: Cow provider: UCSC provider_version: bosTau3 release_date: Aug. 2006 release_name: Baylor College of Medicine HGSC Btau_3.1 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau3/bigZips/ organism_biocview: Bos_taurus BSgenomeObjname: Btaurus seqnames: paste("chr", c(1:29, "X"), sep="") mseqnames: "chrUn.scaffolds" nmask_per_seq: 4 SrcDataFiles1: sequences: all the *.fa.gz files from http://hgdownload.cse.ucsc.edu/goldenPath/bosTau3/chromosomes/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau3/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau3/bigZips/bosTau3.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau3/bigZips/bosTau3.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Btaurus.UCSC.bosTau3/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Btaurus.UCSC.bosTau3/masks AGAPSfiles_name: gap.txt RMfiles_name: bosTau3.fa.out TRFfiles_name: bosTau3.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Btaurus.UCSC.bosTau4-seed0000644000126300012640000000275312227064204026642 0ustar00biocbuildphs_compbioPackage: BSgenome.Btaurus.UCSC.bosTau4 Title: Bos taurus (Cow) full genome (UCSC version bosTau4) Description: Bos taurus (Cow) full genome as provided by UCSC (bosTau4, Oct. 2007) and stored in Biostrings objects. Version: 1.3.19 organism: Bos taurus species: Cow provider: UCSC provider_version: bosTau4 release_date: Oct. 2007 release_name: Baylor College of Medicine HGSC Btau_4.0 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau4/bigZips/ organism_biocview: Bos_taurus BSgenomeObjname: Btaurus seqnames: paste("chr", c(1:29, "X", "M"), sep="") circ_seqs: "chrM" mseqnames: c("chrUn.scaffolds", "upstream1000", "upstream2000", "upstream5000") nmask_per_seq: 4 SrcDataFiles1: sequences: all the *.fa.gz files from http://hgdownload.cse.ucsc.edu/goldenPath/bosTau4/chromosomes/ + the upstream*.fa.gz files from http://hgdownload.cse.ucsc.edu/goldenPath/bosTau4/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau4/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau4/bigZips/bosTau4.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau4/bigZips/bosTau4.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Btaurus.UCSC.bosTau4/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Btaurus.UCSC.bosTau4/masks AGAPSfiles_name: gap.txt RMfiles_name: bosTau4.fa.out TRFfiles_name: bosTau4.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Btaurus.UCSC.bosTau6-seed0000644000126300012640000000270212227064204026636 0ustar00biocbuildphs_compbioPackage: BSgenome.Btaurus.UCSC.bosTau6 Title: Bos taurus (Cow) full genome (UCSC version bosTau6) Description: Bos taurus (Cow) full genome as provided by UCSC (bosTau6, Nov. 2009) and stored in Biostrings objects. Version: 1.3.19 organism: Bos taurus species: Cow provider: UCSC provider_version: bosTau6 release_date: Nov. 2009 release_name: University of Maryland v3.1 source_url: http://hgdownload.soe.ucsc.edu/goldenPath/bosTau6/bigZips/ organism_biocview: Bos_taurus BSgenomeObjname: Btaurus seqnames: paste("chr", c(1:29, "X", "M"), sep="") circ_seqs: "chrM" mseqnames: c("chrUn", "upstream1000", "upstream2000", "upstream5000") nmask_per_seq: 4 SrcDataFiles1: sequences: http://hgdownload.soe.ucsc.edu/goldenPath/bosTau6/bigZips/bosTau6.fa.gz + the upstream*.fa.gz files from http://hgdownload.cse.ucsc.edu/goldenPath/bosTau6/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau6/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau6/bigZips/bosTau6.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/bosTau6/bigZips/bosTau6.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Btaurus.UCSC.bosTau6/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Btaurus.UCSC.bosTau6/masks AGAPSfiles_name: gap.txt RMfiles_name: bosTau6.fa.out TRFfiles_name: bosTau6.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Btaurus.UCSC.bosTau6-tools/0000755000126300012640000000000012227064204027132 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Btaurus.UCSC.bosTau6-tools/splitbigfasta.R0000755000126300012640000000123312227064204032113 0ustar00biocbuildphs_compbio### library(Biostrings) bosTau6 <- readDNAStringSet("bosTau6.fa") ### Partitioning: is_chrUn <- grepl("^chrUn", names(bosTau6)) is_chrom <- !is_chrUn ### Send each chromosome to a FASTA file. seqnames <- paste("chr", c(1:29, "X", "M"), sep="") stopifnot(setequal(seqnames, names(bosTau6)[is_chrom])) for (seqname in seqnames) { seq <- bosTau6[match(seqname, names(bosTau6))] filename <- paste(seqname, ".fa", sep="") cat("writing ", filename, "\n", sep="") writeXStringSet(seq, file=filename, width=50L) } ### Send the 3286 chrUn_* sequences to 1 FASTA file. chrUn_mseq <- bosTau6[is_chrUn] writeXStringSet(chrUn_mseq, file="chrUn.fa", width=50L) BSgenome/inst/extdata/GentlemanLab/BSgenome.Celegans.UCSC.ce10-seed0000644000126300012640000000175512227064204026146 0ustar00biocbuildphs_compbioPackage: BSgenome.Celegans.UCSC.ce10 Title: Caenorhabditis elegans (Worm) full genome (UCSC version ce10) Description: Caenorhabditis elegans (Worm) full genome as provided by UCSC (ce10, Oct. 2010) and stored in Biostrings objects. Version: 1.3.19 organism: Caenorhabditis elegans species: Worm provider: UCSC provider_version: ce10 release_date: Oct. 2010 release_name: WormBase v. WS220 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/ce10/bigZips/ organism_biocview: Caenorhabditis_elegans BSgenomeObjname: Celegans seqnames: paste("chr", c("I", "II", "III", "IV", "V", "X", "M"), sep="") circ_seqs: "chrM" mseqnames: c("upstream1000", "upstream2000", "upstream5000") nmask_per_seq: 0 SrcDataFiles1: chromFa.tar.gz upstream1000.fa.gz upstream2000.fa.gz upstream5000.fa.gz from ftp://hgdownload.cse.ucsc.edu/goldenPath/ce10/bigZips/ PkgExamples: genome$chrI # same as genome[["chrI"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Celegans.UCSC.ce10/seqs BSgenome/inst/extdata/GentlemanLab/BSgenome.Celegans.UCSC.ce2-seed0000644000126300012640000000173612227064204026066 0ustar00biocbuildphs_compbioPackage: BSgenome.Celegans.UCSC.ce2 Title: Caenorhabditis elegans (Worm) full genome (UCSC version ce2) Description: Caenorhabditis elegans (Worm) full genome as provided by UCSC (ce2, Mar. 2004) and stored in Biostrings objects. Version: 1.3.19 organism: Caenorhabditis elegans species: Worm provider: UCSC provider_version: ce2 release_date: Mar. 2004 release_name: WormBase v. WS120 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/ce2/bigZips/ organism_biocview: Caenorhabditis_elegans BSgenomeObjname: Celegans seqnames: paste("chr", c("I", "II", "III", "IV", "V", "X", "M"), sep="") circ_seqs: "chrM" mseqnames: c("upstream1000", "upstream2000", "upstream5000") nmask_per_seq: 0 SrcDataFiles1: chromFa.zip upstream1000.zip upstream2000.zip upstream5000.zip from http://hgdownload.cse.ucsc.edu/goldenPath/ce2/bigZips/ PkgExamples: genome$chrI # same as genome[["chrI"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Celegans.UCSC.ce2/seqs BSgenome/inst/extdata/GentlemanLab/BSgenome.Celegans.UCSC.ce6-seed0000644000126300012640000000174412227064204026071 0ustar00biocbuildphs_compbioPackage: BSgenome.Celegans.UCSC.ce6 Title: Caenorhabditis elegans (Worm) full genome (UCSC version ce6) Description: Caenorhabditis elegans (Worm) full genome as provided by UCSC (ce6, May 2008) and stored in Biostrings objects. Version: 1.3.19 organism: Caenorhabditis elegans species: Worm provider: UCSC provider_version: ce6 release_date: May 2008 release_name: WormBase v. WS190 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/ce6/bigZips/ organism_biocview: Caenorhabditis_elegans BSgenomeObjname: Celegans seqnames: paste("chr", c("I", "II", "III", "IV", "V", "X", "M"), sep="") circ_seqs: "chrM" mseqnames: c("upstream1000", "upstream2000", "upstream5000") nmask_per_seq: 0 SrcDataFiles1: chromFa.tar.gz upstream1000.fa.gz upstream2000.fa.gz upstream5000.fa.gz from ftp://hgdownload.cse.ucsc.edu/goldenPath/ce6/bigZips/ PkgExamples: genome$chrI # same as genome[["chrI"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Celegans.UCSC.ce6/seqs BSgenome/inst/extdata/GentlemanLab/BSgenome.Cfamiliaris.UCSC.canFam2-seed0000644000126300012640000000242012227064204027355 0ustar00biocbuildphs_compbioPackage: BSgenome.Cfamiliaris.UCSC.canFam2 Title: Canis lupus familiaris full genome (UCSC version canFam2) Description: Canis lupus familiaris full genome as provided by UCSC (canFam2, May 2005) and stored in Biostrings objects. Version: 1.3.19 organism: Canis lupus familiaris species: Dog provider: UCSC provider_version: canFam2 release_date: May 2005 release_name: Broad Institute v2.0 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/canFam2/bigZips/ organism_biocview: Canis_familiaris BSgenomeObjname: Cfamiliaris seqnames: paste("chr", c(1:38, "X", "M", "Un"), sep="") circ_seqs: "chrM" nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.tar.gz from http://hgdownload.cse.ucsc.edu/goldenPath/canFam2/bigZips/ SrcDataFiles2: AGAPS masks: all the chr*_gap.txt.gz files from ftp://hgdownload.cse.ucsc.edu/goldenPath/canFam2/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/canFam2/bigZips/chromOut.tar.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/canFam2/bigZips/chromTrf.tar.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Cfamiliaris.UCSC.canFam2/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Cfamiliaris.UCSC.canFam2/masks BSgenome/inst/extdata/GentlemanLab/BSgenome.Cfamiliaris.UCSC.canFam3-seed0000644000126300012640000000270312227064204027362 0ustar00biocbuildphs_compbioPackage: BSgenome.Cfamiliaris.UCSC.canFam3 Title: Canis lupus familiaris (Dog) full genome (UCSC version canFam3) Description: Canis lupus familiaris (Dog) full genome as provided by UCSC (canFam3, Sep. 2011) and stored in Biostrings objects. Version: 1.3.19 organism: Canis lupus familiaris species: Dog provider: UCSC provider_version: canFam3 release_date: Sep. 2011 release_name: Broad Institute v3.1 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/canFam3/bigZips/ organism_biocview: Canis_familiaris BSgenomeObjname: Cfamiliaris seqnames: paste("chr", c(1:38, "X", "M"), sep="") circ_seqs: "chrM" mseqnames: c("chrUn", paste("upstream", c("1000", "2000", "5000"), sep="")) nmask_per_seq: 4 SrcDataFiles1: sequences: canFam3.fa.gz and the upstream*.fa.gz files from http://hgdownload.cse.ucsc.edu/goldenPath/canFam3/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/canFam3/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/canFam3/bigZips/canFam3.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/canFam3/bigZips/canFam3.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Cfamiliaris.UCSC.canFam3/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Cfamiliaris.UCSC.canFam3/masks AGAPSfiles_name: gap.txt RMfiles_name: canFam3.fa.out TRFfiles_name: canFam3.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Cfamiliaris.UCSC.canFam3-tools/0000755000126300012640000000000012227064203027654 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Cfamiliaris.UCSC.canFam3-tools/splitbigfasta.R0000755000126300012640000000123312227064203032635 0ustar00biocbuildphs_compbio### library(Biostrings) canFam3 <- readDNAStringSet("canFam3.fa") ### Partitioning: is_chrUn <- grepl("^chrUn", names(canFam3)) is_chrom <- !is_chrUn ### Send each chromosome to a FASTA file. seqnames <- paste("chr", c(1:38, "X", "M"), sep="") stopifnot(setequal(seqnames, names(canFam3)[is_chrom])) for (seqname in seqnames) { seq <- canFam3[match(seqname, names(canFam3))] filename <- paste(seqname, ".fa", sep="") cat("writing ", filename, "\n", sep="") writeXStringSet(seq, file=filename, width=50L) } ### Send the 1439 chrUn_* sequences to 1 FASTA file. chrUn_mseq <- canFam3[is_chrUn] writeXStringSet(chrUn_mseq, file="chrUn.fa", width=50L) BSgenome/inst/extdata/GentlemanLab/BSgenome.Dmelanogaster.UCSC.dm2-seed0000644000126300012640000000264712227064204027145 0ustar00biocbuildphs_compbioPackage: BSgenome.Dmelanogaster.UCSC.dm2 Title: Drosophila melanogaster (Fly) full genome (UCSC version dm2) Description: Drosophila melanogaster (Fly) full genome as provided by UCSC (dm2, Apr. 2004) and stored in Biostrings objects. Version: 1.3.19 organism: Drosophila melanogaster species: Fly provider: UCSC provider_version: dm2 release_date: Apr. 2004 release_name: BDGP Release 4 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/dm2/bigZips/ organism_biocview: Drosophila_melanogaster BSgenomeObjname: Dmelanogaster seqnames: paste("chr", c("2L", "2R", "3L", "3R", "4", "X", "U", "M", "2h", "3h", "4h", "Xh", "Yh"), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.zip, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/dm2/bigZips/ SrcDataFiles2: AGAPS masks: all the chr*_gap.txt.gz files from ftp://hgdownload.cse.ucsc.edu/goldenPath/dm2/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/dm2/bigZips/chromOut.zip TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/dm2/bigZips/chromTrf.zip PkgExamples: genome$chr2L # same as genome[["chr2L"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Dmelanogaster.UCSC.dm2/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Dmelanogaster.UCSC.dm2/masks BSgenome/inst/extdata/GentlemanLab/BSgenome.Dmelanogaster.UCSC.dm3-seed0000644000126300012640000000271512227064204027142 0ustar00biocbuildphs_compbioPackage: BSgenome.Dmelanogaster.UCSC.dm3 Title: Drosophila melanogaster (Fly) full genome (UCSC version dm3) Description: Drosophila melanogaster (Fly) full genome as provided by UCSC (dm3, Apr. 2006) and stored in Biostrings objects. Version: 1.3.19 organism: Drosophila melanogaster species: Fly provider: UCSC provider_version: dm3 release_date: Apr. 2006 release_name: BDGP Release 5 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/dm3/bigZips/ organism_biocview: Drosophila_melanogaster BSgenomeObjname: Dmelanogaster seqnames: paste("chr", c("2L", "2R", "3L", "3R", "4", "X", "U", "M", "2LHet", "2RHet", "3LHet", "3RHet", "XHet", "YHet", "Uextra"), sep="") circ_seqs: "chrM" mseqnames: c("upstream1000", "upstream2000", "upstream5000") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.tar.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/dm3/bigZips/ SrcDataFiles2: AGAPS masks: all the chr*_gap.txt.gz files from ftp://hgdownload.cse.ucsc.edu/goldenPath/dm3/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/dm3/bigZips/chromOut.tar.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/dm3/bigZips/chromTrf.tar.gz PkgExamples: genome$chr2L # same as genome[["chr2L"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Dmelanogaster.UCSC.dm3/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Dmelanogaster.UCSC.dm3/masks BSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer5-seed0000644000126300012640000000271612227064204026417 0ustar00biocbuildphs_compbioPackage: BSgenome.Drerio.UCSC.danRer5 Title: Danio rerio (Zebrafish) full genome (UCSC version danRer5) Description: Danio rerio (Zebrafish) full genome as provided by UCSC (danRer5, Jul. 2007) and stored in Biostrings objects. Version: 1.3.19 organism: Danio rerio species: Zebrafish provider: UCSC provider_version: danRer5 release_date: Jul. 2007 release_name: Sanger Institute Zv7 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/danRer5/bigZips/ organism_biocview: Danio_rerio BSgenomeObjname: Drerio seqnames: paste("chr", c(1:25, "M"), sep="") circ_seqs: "chrM" mseqnames: c("Zv7_NA", "Zv7_scaffold", paste("upstream", c("1000", "2000", "5000"), sep="")) nmask_per_seq: 4 SrcDataFiles1: sequences: danRer5.fa.gz, upstream1000.fa.gz, upstream2000.fa.gz and upstream5000.fa.gz files from http://hgdownload.cse.ucsc.edu/goldenPath/danRer5/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/danRer5/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/danRer5/bigZips/danRer5.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/danRer5/bigZips/danRer5.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Drerio.UCSC.danRer5/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Drerio.UCSC.danRer5/masks AGAPSfiles_name: gap.txt RMfiles_name: danRer5.fa.out TRFfiles_name: danRer5.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer5-tools/0000755000126300012640000000000012227064202026704 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer5-tools/NOTES.TXT0000644000126300012640000000034512227064202030177 0ustar00biocbuildphs_compbioDownloaded the danRer5.fa.gz file on July 27, 2009 5036 FASTA records: o 26 chromosome sequences (1, 2, ..., 25, M) o 4844 Zv7_NA* sequences o 166 Zv7_scaffold* sequences Use the splitbigfasta.sh script to split danRer5.fa BSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer5-tools/splitbigfasta.sh0000755000126300012640000000352512227064202032104 0ustar00biocbuildphs_compbio#!/bin/bash # # Run with: # ./splitbigfasta.sh danRer5.fa # Then test the result with: # cat chr[1-9].fa chr??.fa Zv7_NA.fa Zv7_scaffold.fa chrM.fa > merged.fa # cmp merged.fa danRer5.fa set -e # Exit immediately if a simple command exits with a non-zero status # Note that in 'head -n NH $1 | tail -n NT' the NH and NT values # were obtained from R with: # library(Biostrings) # fi <- fasta.info("danRer5.fa") # fi25 <- fi[1:25] # NT <- fi25 %/% 50 + 2 # NH <- cumsum(NT) head -n 1124095 $1 > chr1.fa head -n 2211431 $1 | tail -n 1087336 > chr2.fa head -n 3470057 $1 | tail -n 1258626 > chr3.fa head -n 4322107 $1 | tail -n 852050 > chr4.fa head -n 5729536 $1 | tail -n 1407429 > chr5.fa head -n 6913551 $1 | tail -n 1184015 > chr6.fa head -n 8318793 $1 | tail -n 1405242 > chr7.fa head -n 9447929 $1 | tail -n 1129136 > chr8.fa head -n 10477749 $1 | tail -n 1029820 > chr9.fa head -n 11325342 $1 | tail -n 847593 > chr10.fa head -n 12217671 $1 | tail -n 892329 > chr11.fa head -n 13168147 $1 | tail -n 950476 > chr12.fa head -n 14239096 $1 | tail -n 1070949 > chr13.fa head -n 15369555 $1 | tail -n 1130459 > chr14.fa head -n 16302145 $1 | tail -n 932590 > chr15.fa head -n 17363560 $1 | tail -n 1061415 > chr16.fa head -n 18409770 $1 | tail -n 1046210 > chr17.fa head -n 19395399 $1 | tail -n 985629 > chr18.fa head -n 20319025 $1 | tail -n 923626 > chr19.fa head -n 21449600 $1 | tail -n 1130575 > chr20.fa head -n 22370748 $1 | tail -n 921148 > chr21.fa head -n 23150386 $1 | tail -n 779638 > chr22.fa head -n 24078148 $1 | tail -n 927762 > chr23.fa head -n 24884016 $1 | tail -n 805868 > chr24.fa head -n 25541542 $1 | tail -n 657526 > chr25.fa tail -n 333 $1 > chrM.fa # NH and NT found after several try-and-fail attempts head -n 27902547 $1 | tail -n 2361005 > Zv7_NA.fa head -n 28818810 $1 | tail -n 916263 > Zv7_scaffold.fa BSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer6-seed0000644000126300012640000000271612227064204026420 0ustar00biocbuildphs_compbioPackage: BSgenome.Drerio.UCSC.danRer6 Title: Danio rerio (Zebrafish) full genome (UCSC version danRer6) Description: Danio rerio (Zebrafish) full genome as provided by UCSC (danRer6, Dec. 2008) and stored in Biostrings objects. Version: 1.3.19 organism: Danio rerio species: Zebrafish provider: UCSC provider_version: danRer6 release_date: Dec. 2008 release_name: Sanger Institute Zv8 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/danRer6/bigZips/ organism_biocview: Danio_rerio BSgenomeObjname: Drerio seqnames: paste("chr", c(1:25, "M"), sep="") circ_seqs: "chrM" mseqnames: c("Zv8_NA", "Zv8_scaffold", paste("upstream", c("1000", "2000", "5000"), sep="")) nmask_per_seq: 4 SrcDataFiles1: sequences: danRer6.fa.gz, upstream1000.fa.gz, upstream2000.fa.gz and upstream5000.fa.gz files from http://hgdownload.cse.ucsc.edu/goldenPath/danRer6/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/danRer6/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/danRer6/bigZips/danRer6.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/danRer6/bigZips/danRer6.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Drerio.UCSC.danRer6/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Drerio.UCSC.danRer6/masks AGAPSfiles_name: gap.txt RMfiles_name: danRer6.fa.out TRFfiles_name: danRer6.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer6-tools/0000755000126300012640000000000012227064202026705 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer6-tools/NOTES.TXT0000644000126300012640000000034612227064202030201 0ustar00biocbuildphs_compbioDownloaded the danRer6.fa.gz file on June 17, 2010 11724 FASTA records: o 26 chromosome sequences (1, 2, ..., 25, M) o 11418 Zv8_NA* sequences o 280 Zv8_scaffold* sequences Use the splitbigfasta.R script to split danRer6.fa BSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer6-tools/splitbigfasta.R0000755000126300012640000000213112227064202031664 0ustar00biocbuildphs_compbio### library(Biostrings) danRer6 <- readDNAStringSet("danRer6.fa") idx1 <- grep("chr", names(danRer6), fixed=TRUE) idx2 <- grep("Zv8_NA", names(danRer6), fixed=TRUE) idx3 <- grep("Zv8_scaffold", names(danRer6), fixed=TRUE) ### Check that (idx1, idx2, idx3) forms a partition of seq_len(length(danRer6)). stopifnot(identical(sort(c(idx1, idx2, idx3)), seq_len(length(danRer6)))) ### Send each chromosome to a FASTA file. seqnames <- paste("chr", c(1:25, "M"), sep="") for (seqname in seqnames) { seq <- danRer6[match(seqname, names(danRer6))] filename <- paste(seqname, ".fa", sep="") cat("writing ", filename, "\n", sep="") write.XStringSet(seq, file=filename) } ### Send all the Zv8_NA* sequences to a single FASTA file. mseq2 <- danRer6[idx2] mseq2 <- mseq2[order(as.integer(substr(names(mseq2), nchar("Zv8_NA")+1L, 999L)))] write.XStringSet(mseq2, file="Zv8_NA.fa") ### Send all the Zv8_scaffold* sequences to a single FASTA file. mseq3 <- danRer6[idx3] mseq3 <- mseq3[order(as.integer(substr(names(mseq3), nchar("Zv8_scaffold")+1L, 999L)))] write.XStringSet(mseq3, file="Zv8_scaffold.fa") BSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer7-seed0000644000126300012640000000270712227064204026421 0ustar00biocbuildphs_compbioPackage: BSgenome.Drerio.UCSC.danRer7 Title: Danio rerio (Zebrafish) full genome (UCSC version danRer7) Description: Danio rerio (Zebrafish) full genome as provided by UCSC (danRer7, Jul. 2010) and stored in Biostrings objects. Version: 1.3.19 organism: Danio rerio species: Zebrafish provider: UCSC provider_version: danRer7 release_date: Jul. 2010 release_name: Sanger Institute Zv9 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/danRer7/ organism_biocview: Danio_rerio BSgenomeObjname: Drerio seqnames: paste("chr", c(1:25, "M"), sep="") circ_seqs: "chrM" mseqnames: c("Zv9_NA", "Zv9_scaffold", paste("upstream", c("1000", "2000", "5000"), sep="")) nmask_per_seq: 4 SrcDataFiles1: sequences: danRer7.fa.gz, upstream1000.fa.gz, upstream2000.fa.gz and upstream5000.fa.gz files from http://hgdownload.cse.ucsc.edu/goldenPath/danRer7/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/danRer7/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/danRer7/bigZips/danRer7.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/danRer7/bigZips/danRer7.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Drerio.UCSC.danRer7/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Drerio.UCSC.danRer7/masks AGAPSfiles_name: gap.txt RMfiles_name: danRer7.fa.out TRFfiles_name: danRer7.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer7-tools/0000755000126300012640000000000012227064203026707 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer7-tools/NOTES.TXT0000644000126300012640000000034312227064203030200 0ustar00biocbuildphs_compbioDownloaded the danRer7.fa.gz file on March 8, 2011 1133 FASTA records: o 26 chromosome sequences (1, 2, ..., 25, M) o 995 Zv9_NA* sequences o 112 Zv9_scaffold* sequences Use the splitbigfasta.R script to split danRer7.fa BSgenome/inst/extdata/GentlemanLab/BSgenome.Drerio.UCSC.danRer7-tools/splitbigfasta.R0000755000126300012640000000213112227064203031666 0ustar00biocbuildphs_compbio### library(Biostrings) danRer7 <- readDNAStringSet("danRer7.fa") idx1 <- grep("chr", names(danRer7), fixed=TRUE) idx2 <- grep("Zv9_NA", names(danRer7), fixed=TRUE) idx3 <- grep("Zv9_scaffold", names(danRer7), fixed=TRUE) ### Check that (idx1, idx2, idx3) forms a partition of seq_len(length(danRer7)). stopifnot(identical(sort(c(idx1, idx2, idx3)), seq_len(length(danRer7)))) ### Send each chromosome to a FASTA file. seqnames <- paste("chr", c(1:25, "M"), sep="") for (seqname in seqnames) { seq <- danRer7[match(seqname, names(danRer7))] filename <- paste(seqname, ".fa", sep="") cat("writing ", filename, "\n", sep="") write.XStringSet(seq, file=filename) } ### Send all the Zv9_NA* sequences to a single FASTA file. mseq2 <- danRer7[idx2] mseq2 <- mseq2[order(as.integer(substr(names(mseq2), nchar("Zv9_NA")+1L, 999L)))] write.XStringSet(mseq2, file="Zv9_NA.fa") ### Send all the Zv9_scaffold* sequences to a single FASTA file. mseq3 <- danRer7[idx3] mseq3 <- mseq3[order(as.integer(substr(names(mseq3), nchar("Zv9_scaffold")+1L, 999L)))] write.XStringSet(mseq3, file="Zv9_scaffold.fa") BSgenome/inst/extdata/GentlemanLab/BSgenome.Ecoli.NCBI.20080805-seed0000644000126300012640000001533412227064204025612 0ustar00biocbuildphs_compbioPackage: BSgenome.Ecoli.NCBI.20080805 Title: Escherichia coli full genomes Description: Escherichia coli full genomes for several strains as provided by NCBI on 2008/08/05 and stored in Biostrings objects. Version: 1.3.19 organism: Escherichia coli species: E. coli provider: NCBI provider_version: 2008/08/05 release_date: NA release_name: NA source_url: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/ organism_biocview: Escherichia_coli BSgenomeObjname: Ecoli seqnames: c(paste("NC_", c("008253", "008563", "010468", "004431", "009801", "009800", "002655", "002695", "010498", "007946", "010473", "000913"), sep=""), "AC_000091") circ_seqs: c(paste("NC_", c("008253", "008563", "010468", "004431", "009801", "009800", "002655", "002695", "010498", "007946", "010473", "000913"), sep=""), "AC_000091") nmask_per_seq: 0 PkgDetails: The genome of Escherichia coli is made of a single circular DNA sequence. The full genomes for the following strains are present in this package (one sequence per strain): \describe{ \item{}{ Escherichia coli 536 \preformatted{ Taxonomy ID: 362663 Other names: "Escherichia coli strain 536", "Escherichia coli str. 536" Refseq: NC_008253 Length: 4,938,920 nt Seq.Status: Completed Sequencing center: University of Goettingen Completed: 2006/07/24 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_536/NC_008253.fna }} \item{}{ Escherichia coli APEC O1 \preformatted{ Taxonomy ID: 405955 Other names: "Escherichia coli strain APEC O1", "Escherichia coli str. APEC O1" Refseq: NC_008563 Length: 5,082,025 nt Seq.Status: Completed Sequencing center: Iowa State University Completed: 2006/11/08 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_APEC_O1/NC_008563.fna }} \item{}{ Escherichia coli ATCC 8739 \preformatted{ Taxonomy ID: 481805 Other names: "Escherichia coli C (ATCC 8739)", "Escherichia coli C str. ATCC 8739", "Escherichia coli strain ATCC 8739", "Escherichia coli str. ATCC 8739" Refseq: NC_010468 Length: 4,746,218 nt Seq.Status: Completed Sequencing center: US DOE Joint Genome Institute (JGI-PGF) Completed: 2008/03/17 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_C_ATCC_8739/NC_010468.fna }} \item{}{ Escherichia coli CFT073 \preformatted{ Taxonomy ID: 199310 Other names: "Escherichia coli strain CFT073", "Escherichia coli str. CFT073" Refseq: NC_004431 Length: 5,231,428 nt Seq.Status: Completed Sequencing center: Univ. Wisconsin Completed: 2002/12/09 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_CFT073/NC_004431.fna }} \item{}{ Escherichia coli E24377A \preformatted{ Taxonomy ID: 331111 Refseq: NC_009801 Length: 4,979,619 nt Seq.Status: Completed Sequencing center: TIGR Completed: 2007/09/13 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_E24377A/NC_009801.fna }} \item{}{ Escherichia coli HS \preformatted{ Taxonomy ID: 331112 Refseq: NC_009800 Length: 4,643,538 nt Seq.Status: Completed Sequencing center: TIGR Completed: 2007/09/13 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_HS/NC_009800.fna }} \item{}{ Escherichia coli O157:H7 EDL933 \preformatted{ Taxonomy ID: 155864 Refseq: NC_002655 Length: 5,528,445 nt Seq.Status: Completed Sequencing center: Univ. Wisconsin Completed: 2001/09/27 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_O157H7_EDL933/NC_002655.fna }} \item{}{ Escherichia coli O157:H7 str. Sakai \preformatted{ Taxonomy ID: 386585 Other names: "Escherichia coli O157:H7 strain Sakai" Refseq: NC_002695 Length: 5,498,450 nt Seq.Status: Completed Sequencing center: GIRC Completed: 2001/10/02 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_O157H7/NC_002695.fna }} \item{}{ Escherichia coli SMS-3-5 \preformatted{ Taxonomy ID: 439855 Other names: "Escherichia coli strain SMS-3-5", "Escherichia coli str. SMS-3-5" Refseq: NC_010498 Length: 5,068,389 nt Seq.Status: Completed Sequencing center: TIGR Completed: 2008/03/24 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_SMS_3_5/NC_010498.fna }} \item{}{ Escherichia coli UTI89 \preformatted{ Taxonomy ID: 364106 Other names: "Escherichia coli strain UTI89", "Escherichia coli str. UTI89" Refseq: NC_007946 Length: 5,065,741 nt Seq.Status: Completed Sequencing center: Washington University (WashU) Completed: 2006/04/07 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_UTI89/NC_007946.fna }} \item{}{ Escherichia coli str. K12 substr. DH10B \preformatted{ Taxonomy ID: 316385 Other names: "Escherichia coli DH10B", "Escherichia coli strain K12 substrain DH10B" Refseq: NC_010473 Length: 4,686,137 nt Seq.Status: Completed Sequencing center: University of Wisconsin-Madison Completed: 2008/03/17 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_K_12_substr__DH10B/NC_010473.fna }} \item{}{ Escherichia coli str. K12 substr. MG1655 \preformatted{ Taxonomy ID: 511145 Other names: "Escherichia coli MG1655", "Escherichia coli strain MG1655", "Escherichia coli str. MG1655" Refseq: NC_000913 Length: 4,639,675 nt Seq.Status: Completed Sequencing center: Univ. Wisconsin Completed: 2001/10/15 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_K12_substr__MG1655/NC_000913.fna }} \item{}{ Escherichia coli str. K12 substr. W3110 \preformatted{ Taxonomy ID: 316407 Other names: "Escherichia coli W3110", "Escherichia coli strain W3110", "Escherichia coli str. W3110" Refseq: AC_000091 Length: 4,646,332 nt Seq.Status: Completed Sequencing center: Nara Institute of Science and Technology Completed: 2006/03/01 File: ftp://ftp.ncbi.nih.gov/genomes/Bacteria/Escherichia_coli_W3110/AC_000091.fna }} } SrcDataFiles1: Escherichia_coli_536/NC_008253.fna Escherichia_coli_APEC_O1/NC_008563.fna Escherichia_coli_C_ATCC_8739/NC_010468.fna Escherichia_coli_CFT073/NC_004431.fna Escherichia_coli_E24377A/NC_009801.fna Escherichia_coli_HS/NC_009800.fna Escherichia_coli_O157H7_EDL933/NC_002655.fna Escherichia_coli_O157H7/NC_002695.fna Escherichia_coli_SMS_3_5/NC_010498.fna Escherichia_coli_UTI89/NC_007946.fna Escherichia_coli_K_12_substr__DH10B/NC_010473.fna Escherichia_coli_K12_substr__MG1655/NC_000913.fna Escherichia_coli_W3110/AC_000091.fna from ftp://ftp.ncbi.nih.gov/genomes/Bacteria/ (downloaded on 2008/08/05) PkgExamples: ## The names of the sequences are the Refseq numbers! genome$NC_008253 # same as genome[["NC_008253"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Ecoli.NCBI.20080805/seqs seqfiles_suffix: .fna BSgenome/inst/extdata/GentlemanLab/BSgenome.Gaculeatus.UCSC.gasAcu1-seed0000644000126300012640000000307112227064204027247 0ustar00biocbuildphs_compbioPackage: BSgenome.Gaculeatus.UCSC.gasAcu1 Title: Gasterosteus aculeatus (Stickleback) full genome (UCSC version gasAcu1) Description: Gasterosteus aculeatus (Stickleback) full genome as provided by UCSC (gasAcu1, Feb. 2006) and stored in Biostrings objects. Version: 1.3.19 organism: Gasterosteus aculeatus species: Stickleback provider: UCSC provider_version: gasAcu1 release_date: Feb. 2006 release_name: Broad Release 1.0 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/gasAcu1/ organism_biocview: Gasterosteus_aculeatus BSgenomeObjname: Gaculeatus seqnames: paste("chr", c("I", "II", "III", "IV", "V", "VI", "VII", "VIII", "IX", "X", "XI", "XII", "XIII", "XIV", "XV", "XVI", "XVII", "XVIII", "XIX", "XX", "XXI", "M", "Un"), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.tar.gz + upstream*.fa.gz files from http://hgdownload.cse.ucsc.edu/goldenPath/gasAcu1/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/gasAcu1/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/gasAcu1/bigZips/chromOut.tar.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/gasAcu1/bigZips/chromTrf.tar.gz PkgExamples: genome$chrI # same as genome[["chrI"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Gaculeatus.UCSC.gasAcu1/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Gaculeatus.UCSC.gasAcu1/masks AGAPSfiles_name: gap.txt RMfiles_suffix: .fa.out TRFfiles_suffix: .bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Ggallus.UCSC.galGal3-seed0000644000126300012640000000300712227064204026535 0ustar00biocbuildphs_compbioPackage: BSgenome.Ggallus.UCSC.galGal3 Title: Gallus gallus (Chicken) full genome (UCSC version galGal3) Description: Gallus gallus (Chicken) full genome as provided by UCSC (galGal3, May 2006) and stored in Biostrings objects. Version: 1.3.19 organism: Gallus gallus species: Chicken provider: UCSC provider_version: galGal3 release_date: May 2006 release_name: WUSTL Gallus-gallus-2.1 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/galGal3/bigZips/ organism_biocview: Gallus_gallus BSgenomeObjname: Ggallus seqnames: paste("chr", c(1:28, 32, "M", "W", "Z", "E64", "E22C19W28_E50C23", paste(c(1:2, 4:8, 10:13, 16:18, 20, 22, 25, 28, "W", "Z", "E64", "E22C19W28_E50C23", "Un"), "_random", sep="")), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.tar.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/galGal3/bigZips/ SrcDataFiles2: AGAPS masks: all the chr*_gap.txt.gz files from ftp://hgdownload.cse.ucsc.edu/goldenPath/galGal3/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/galGal3/bigZips/chromOut.tar.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/galGal3/bigZips/chromTrf.tar.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Ggallus.UCSC.galGal3/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Ggallus.UCSC.galGal3/masks BSgenome/inst/extdata/GentlemanLab/BSgenome.Ggallus.UCSC.galGal4-seed0000644000126300012640000000276412227064204026547 0ustar00biocbuildphs_compbioPackage: BSgenome.Ggallus.UCSC.galGal4 Title: Gallus gallus (Chicken) full genome (UCSC version galGal4) Description: Gallus gallus (Chicken) full genome as provided by UCSC (galGal4, Nov. 2011) and stored in Biostrings objects. Version: 1.3.19 organism: Gallus gallus species: Chicken provider: UCSC provider_version: galGal4 release_date: Nov. 2011 release_name: ICGSC Gallus_gallus-4.0 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/galGal4/bigZips/ organism_biocview: Gallus_gallus BSgenomeObjname: Ggallus seqnames: paste("chr", c(1:28, 32, "M", "W", "Z", "LGE64", "LGE22C19W28_E50C23"), sep="") circ_seqs: "chrM" mseqnames: c("random", "chrUn", paste("upstream", c("1000", "2000", "5000"), sep="")) nmask_per_seq: 4 SrcDataFiles1: sequences: galGal4.fa.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/galGal4/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/galGal4/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/galGal4/bigZips/galGal4.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/galGal4/bigZips/galGal4.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Ggallus.UCSC.galGal4/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Ggallus.UCSC.galGal4/masks AGAPSfiles_name: gap.txt RMfiles_name: galGal4.fa.out TRFfiles_name: galGal4.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Ggallus.UCSC.galGal4-tools/0000755000126300012640000000000012227064202027031 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Ggallus.UCSC.galGal4-tools/splitbigfasta.R0000755000126300012640000000213512227064202032014 0ustar00biocbuildphs_compbio### library(Biostrings) galGal4 <- readDNAStringSet("galGal4.fa") ### Partitioning: is_random <- grepl("^chr[^_]*_[^_]*_random$", names(galGal4)) is_chrUn <- grepl("^chrUn", names(galGal4)) is_chrom <- !(is_random | is_chrUn) ### Sanity check: stopifnot(all(is_random | is_chrUn | is_chrom)) stopifnot(!any(is_random & is_chrUn)) stopifnot(!any(is_random & is_chrom)) stopifnot(!any(is_chrUn & is_chrom)) ### Send each chromosome to a FASTA file. seqnames <- paste("chr", c(1:28, 32, "M", "W", "Z", "LGE64", "LGE22C19W28_E50C23"), sep="") stopifnot(setequal(seqnames, names(galGal4)[is_chrom])) for (seqname in seqnames) { seq <- galGal4[match(seqname, names(galGal4))] filename <- paste(seqname, ".fa", sep="") cat("writing ", filename, "\n", sep="") writeXStringSet(seq, file=filename, width=50L) } ### Send the 1805 chrNN_*_random sequences to 1 FASTA file. random_mseq <- galGal4[is_random] writeXStringSet(random_mseq, file="random.fa", width=50L) ### Send the 14093 chrUn_* sequences to 1 FASTA file. chrUn_mseq <- galGal4[is_chrUn] writeXStringSet(chrUn_mseq, file="chrUn.fa", width=50L) BSgenome/inst/extdata/GentlemanLab/BSgenome.Hsapiens.UCSC.hg17-seed0000644000126300012640000000262212227064204026207 0ustar00biocbuildphs_compbioPackage: BSgenome.Hsapiens.UCSC.hg17 Title: Homo sapiens (Human) full genome (UCSC version hg17) Description: Homo sapiens (Human) full genome as provided by UCSC (hg17, May 2004) and stored in Biostrings objects. Version: 1.3.19 organism: Homo sapiens species: Human provider: UCSC provider_version: hg17 release_date: May 2004 release_name: NCBI Build 35 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/hg17/bigZips/ organism_biocview: Homo_sapiens BSgenomeObjname: Hsapiens seqnames: paste("chr", c(1:22, "X", "Y", "M", "6_hla_hap1", "6_hla_hap2", paste(c((1:22)[-c(11, 14, 20, 21)], "X"), "_random", sep="")), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.zip, upstream1000.zip, upstream2000.zip, upstream5000.zip from http://hgdownload.cse.ucsc.edu/goldenPath/hg17/bigZips/ SrcDataFiles2: AGAPS masks: all the chr*_gap.txt.gz files from ftp://hgdownload.cse.ucsc.edu/goldenPath/hg17/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/hg17/bigZips/chromOut.zip TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/hg17/bigZips/chromTrf.zip PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Hsapiens.UCSC.hg17/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Hsapiens.UCSC.hg17/masks BSgenome/inst/extdata/GentlemanLab/BSgenome.Hsapiens.UCSC.hg18-seed0000644000126300012640000000265512227064204026216 0ustar00biocbuildphs_compbioPackage: BSgenome.Hsapiens.UCSC.hg18 Title: Homo sapiens (Human) full genome (UCSC version hg18) Description: Homo sapiens (Human) full genome as provided by UCSC (hg18, Mar. 2006) and stored in Biostrings objects. Version: 1.3.19 organism: Homo sapiens species: Human provider: UCSC provider_version: hg18 release_date: Mar. 2006 release_name: NCBI Build 36.1 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/hg18/bigZips/ organism_biocview: Homo_sapiens BSgenomeObjname: Hsapiens seqnames: paste("chr", c(1:22, "X", "Y", "M", "5_h2_hap1", "6_cox_hap1", "6_qbl_hap2", "22_h2_hap1", paste(c((1:22)[-c(12, 14, 20)], "X"), "_random", sep="")), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.zip, upstream1000.zip, upstream2000.zip, upstream5000.zip from http://hgdownload.cse.ucsc.edu/goldenPath/hg18/bigZips/ SrcDataFiles2: AGAPS masks: all the chr*_gap.txt.gz files from ftp://hgdownload.cse.ucsc.edu/goldenPath/hg18/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/hg18/bigZips/chromOut.zip TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/hg18/bigZips/chromTrf.zip PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Hsapiens.UCSC.hg18/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Hsapiens.UCSC.hg18/masks BSgenome/inst/extdata/GentlemanLab/BSgenome.Hsapiens.UCSC.hg19-seed0000644000126300012640000000365312227064204026216 0ustar00biocbuildphs_compbioPackage: BSgenome.Hsapiens.UCSC.hg19 Title: Homo sapiens (Human) full genome (UCSC version hg19) Description: Homo sapiens (Human) full genome as provided by UCSC (hg19, Feb. 2009) and stored in Biostrings objects. Version: 1.3.19 organism: Homo sapiens species: Human provider: UCSC provider_version: hg19 release_date: Feb. 2009 release_name: Genome Reference Consortium GRCh37 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/hg19/bigZips/ organism_biocview: Homo_sapiens BSgenomeObjname: Hsapiens seqnames: paste("chr", c(1:22, "X", "Y", "M", "1_gl000191_random", "1_gl000192_random", "4_ctg9_hap1", "4_gl000193_random", "4_gl000194_random", "6_apd_hap1", "6_cox_hap2", "6_dbb_hap3", "6_mann_hap4", "6_mcf_hap5", "6_qbl_hap6", "6_ssto_hap7", "7_gl000195_random" , "8_gl000196_random", "8_gl000197_random", "9_gl000198_random", "9_gl000199_random", "9_gl000200_random", "9_gl000201_random", "11_gl000202_random", "17_ctg5_hap1", "17_gl000203_random", "17_gl000204_random", "17_gl000205_random", "17_gl000206_random", "18_gl000207_random", "19_gl000208_random", "19_gl000209_random", "21_gl000210_random", paste("Un_gl000", 211:249, sep="")), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.zip, upstream1000.zip, upstream2000.zip, upstream5000.zip from http://hgdownload.cse.ucsc.edu/goldenPath/hg19/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/hg19/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/hg19/bigZips/chromOut.tar.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/hg19/bigZips/chromTrf.tar.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Hsapiens.UCSC.hg19/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Hsapiens.UCSC.hg19/masks AGAPSfiles_name: gap.txt BSgenome/inst/extdata/GentlemanLab/BSgenome.Mmulatta.UCSC.rheMac2-seed0000644000126300012640000000376412227064204026744 0ustar00biocbuildphs_compbioPackage: BSgenome.Mmulatta.UCSC.rheMac2 Title: Macaca mulatta (Rhesus) full genome (UCSC version rheMac2) Description: Macaca mulatta (Rhesus) full genome as provided by UCSC (rheMac2, Jan. 2006) and stored in Biostrings objects. NOTE: In most assemblies available at UCSC, Tandem Repeats Finder repeats were filtered to retain only the repeats with period <= 12. However, the filtering was omitted for this assembly, so the TRF masks contain all Tandem Repeats Finder results. Version: 1.3.19 organism: Macaca mulatta species: Rhesus provider: UCSC provider_version: rheMac2 release_date: Jan. 2006 release_name: Baylor College of Medicine HGSC v1.0 Mmul_051212 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/rheMac2/ organism_biocview: Macaca_mulatta BSgenomeObjname: Mmulatta seqnames: paste("chr", c(1:20, "X", "Ur"), sep="") circ_seqs: character(0) mseqnames: paste("upstream", c(1:2, 5), "000", sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.tar.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/rheMac2/bigZips/ SrcDataFiles2: AGAPS masks: gap.txt.gz from http://hgdownload.cse.ucsc.edu/goldenPath/rheMac2/database/ RM and TRF masks: chromOut.tar.gz and chromTrf.tar.gz from http://hgdownload.cse.ucsc.edu/goldenPath/rheMac2/bigZips/ PkgExamples: genome$chr1 # same as genome[["chr1"]] ## NOTE: In most assemblies available at UCSC, Tandem Repeats ## Finder repeats were filtered to retain only the repeats ## with period <= 12. However, the filtering was omitted for ## this assembly, so, despite the description being displayed ## for this mask, it contains all the Tandem Repeats Finder ## results. masks(genome$chr1)$TRF ## To get rid of the masks altogether: unmasked(genome$chr1) seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Mmulatta.UCSC.rheMac2/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Mmulatta.UCSC.rheMac2/masks AGAPSfiles_name: gap.txt.gz BSgenome/inst/extdata/GentlemanLab/BSgenome.Mmusculus.UCSC.mm10-seed0000644000126300012640000000571112227064204026440 0ustar00biocbuildphs_compbioPackage: BSgenome.Mmusculus.UCSC.mm10 Title: Mus musculus (Mouse) full genome (UCSC version mm10) Description: Mus musculus (Mouse) full genome as provided by UCSC (mm10, Dec. 2011) and stored in Biostrings objects. Version: 1.3.19 organism: Mus musculus species: Mouse provider: UCSC provider_version: mm10 release_date: Dec. 2011 release_name: Genome Reference Consortium GRCm38 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/mm10/chromosomes/ organism_biocview: Mus_musculus BSgenomeObjname: Mmusculus seqnames: paste("chr", c(1:19, "X", "Y", "M", paste(c("1_GL456210", "1_GL456211", "1_GL456212", "1_GL456213", "1_GL456221", "4_GL456216", "4_GL456350", "4_JH584292", "4_JH584293", "4_JH584294", "4_JH584295", "5_GL456354", "5_JH584296", "5_JH584297", "5_JH584298", "5_JH584299", "7_GL456219", "X_GL456233", "Y_JH584300", "Y_JH584301", "Y_JH584302", "Y_JH584303"), "_random", sep=""), paste("Un_", c("GL456239", "GL456359", "GL456360", "GL456366", "GL456367", "GL456368", "GL456370", "GL456372", "GL456378", "GL456379", "GL456381", "GL456382", "GL456383", "GL456385", "GL456387", "GL456389", "GL456390", "GL456392", "GL456393", "GL456394", "GL456396", "JH584304"), sep="")), sep="") circ_seqs: "chrM" nmask_per_seq: 2 SrcDataFiles1: sequences: chr1.fa.gz chr2.fa.gz chr3.fa.gz chr4.fa.gz chr5.fa.gz chr6.fa.gz chr7.fa.gz chr8.fa.gz chr9.fa.gz chr10.fa.gz chr11.fa.gz chr12.fa.gz chr13.fa.gz chr14.fa.gz chr15.fa.gz chr16.fa.gz chr17.fa.gz chr18.fa.gz chr19.fa.gz chrX.fa.gz chrY.fa.gz chrM.fa.gz chr1_GL456210_random.fa.gz chr1_GL456211_random.fa.gz chr1_GL456212_random.fa.gz chr1_GL456213_random.fa.gz chr1_GL456221_random.fa.gz chr4_GL456216_random.fa.gz chr4_GL456350_random.fa.gz chr4_JH584292_random.fa.gz chr4_JH584293_random.fa.gz chr4_JH584294_random.fa.gz chr4_JH584295_random.fa.gz chr5_GL456354_random.fa.gz chr5_JH584296_random.fa.gz chr5_JH584297_random.fa.gz chr5_JH584298_random.fa.gz chr5_JH584299_random.fa.gz chr7_GL456219_random.fa.gz chrX_GL456233_random.fa.gz chrY_JH584300_random.fa.gz chrY_JH584301_random.fa.gz chrY_JH584302_random.fa.gz chrY_JH584303_random.fa.gz chrUn_GL456239.fa.gz chrUn_GL456359.fa.gz chrUn_GL456360.fa.gz chrUn_GL456366.fa.gz chrUn_GL456367.fa.gz chrUn_GL456368.fa.gz chrUn_GL456370.fa.gz chrUn_GL456372.fa.gz chrUn_GL456378.fa.gz chrUn_GL456379.fa.gz chrUn_GL456381.fa.gz chrUn_GL456382.fa.gz chrUn_GL456383.fa.gz chrUn_GL456385.fa.gz chrUn_GL456387.fa.gz chrUn_GL456389.fa.gz chrUn_GL456390.fa.gz chrUn_GL456392.fa.gz chrUn_GL456393.fa.gz chrUn_GL456394.fa.gz chrUn_GL456396.fa.gz chrUn_JH584304.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/mm10/chromosomes/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/mm10/database/gap.txt.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Mmusculus.UCSC.mm10/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Mmusculus.UCSC.mm10/masks AGAPSfiles_name: gap.txt BSgenome/inst/extdata/GentlemanLab/BSgenome.Mmusculus.UCSC.mm8-seed0000644000126300012640000000261612227064204026370 0ustar00biocbuildphs_compbioPackage: BSgenome.Mmusculus.UCSC.mm8 Title: Mus musculus (Mouse) full genome (UCSC version mm8) Description: Mus musculus (Mouse) full genome as provided by UCSC (mm8, Feb. 2006) and stored in Biostrings objects. Version: 1.3.19 organism: Mus musculus species: Mouse provider: UCSC provider_version: mm8 release_date: Feb. 2006 release_name: NCBI Build 36 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/mm8/bigZips/ organism_biocview: Mus_musculus BSgenomeObjname: Mmusculus seqnames: paste("chr", c(1:19, "X", "Y", "M", paste(c(1, 5, 7, 8, 9, 10, 13, 15, 17, "X", "Y", "Un"), "_random", sep="")), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.tar.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/mm8/bigZips/ SrcDataFiles2: AGAPS masks: all the chr*_gap.txt.gz files from ftp://hgdownload.cse.ucsc.edu/goldenPath/mm8/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/mm8/bigZips/chromOut.tar.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/mm8/bigZips/chromTrf.tar.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Mmusculus.UCSC.mm8/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Mmusculus.UCSC.mm8/masks BSgenome/inst/extdata/GentlemanLab/BSgenome.Mmusculus.UCSC.mm9-seed0000644000126300012640000000262012227064204026364 0ustar00biocbuildphs_compbioPackage: BSgenome.Mmusculus.UCSC.mm9 Title: Mus musculus (Mouse) full genome (UCSC version mm9) Description: Mus musculus (Mouse) full genome as provided by UCSC (mm9, Jul. 2007) and stored in Biostrings objects. Version: 1.3.19 organism: Mus musculus species: Mouse provider: UCSC provider_version: mm9 release_date: Jul. 2007 release_name: NCBI Build 37 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/mm9/bigZips/ organism_biocview: Mus_musculus BSgenomeObjname: Mmusculus seqnames: paste("chr", c(1:19, "X", "Y", "M", paste(c(1, 3, 4, 5, 7, 8, 9, 13, 16, 17, "X", "Y", "Un"), "_random", sep="")), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.tar.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/mm9/bigZips/ SrcDataFiles2: AGAPS masks: all the chr*_gap.txt.gz files from ftp://hgdownload.cse.ucsc.edu/goldenPath/mm9/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/mm9/bigZips/chromOut.tar.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/mm9/bigZips/chromTrf.tar.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Mmusculus.UCSC.mm9/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Mmusculus.UCSC.mm9/masks BSgenome/inst/extdata/GentlemanLab/BSgenome.Ptroglodytes.UCSC.panTro2-seed0000644000126300012640000000277012227064204027717 0ustar00biocbuildphs_compbioPackage: BSgenome.Ptroglodytes.UCSC.panTro2 Title: Pan troglodytes (Chimp) full genome (UCSC version panTro2) Description: Pan troglodytes (Chimp) full genome as provided by UCSC (panTro2, Mar. 2006) and stored in Biostrings objects. Version: 1.3.19 organism: Pan troglodytes species: Chimp provider: UCSC provider_version: panTro2 release_date: Mar. 2006 release_name: CGSC Build 2 Version 1 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/panTro2/bigZips/ organism_biocview: Pan_troglodytes BSgenomeObjname: Ptroglodytes seqnames: paste("chr", c(1, "2a", "2b", 3:22, "X", "Y", "M", "Un", "6_hla_hap1", paste(c(1, "2a", "2b", 3:20, 22, "X", "Y"), "_random", sep="")), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.tar.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/panTro2/bigZips/ SrcDataFiles2: AGAPS masks: gap.txt.gz from ftp://hgdownload.cse.ucsc.edu/goldenPath/panTro2/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/panTro2/bigZips/chromOut.tar.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/panTro2/bigZips/chromTrf.tar.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Ptroglodytes.UCSC.panTro2/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Ptroglodytes.UCSC.panTro2/masks AGAPSfiles_name: gap.txt BSgenome/inst/extdata/GentlemanLab/BSgenome.Ptroglodytes.UCSC.panTro3-seed0000644000126300012640000000305512227064204027715 0ustar00biocbuildphs_compbioPackage: BSgenome.Ptroglodytes.UCSC.panTro3 Title: Pan troglodytes (Chimp) full genome (UCSC version panTro3) Description: Pan troglodytes (Chimp) full genome as provided by UCSC (panTro3, Oct. 2010) and stored in Biostrings objects. Version: 1.3.19 organism: Pan troglodytes species: Chimp provider: UCSC provider_version: panTro3 release_date: Oct. 2010 release_name: CGSC Build 2.1.3 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/panTro3/bigZips/ organism_biocview: Pan_troglodytes BSgenomeObjname: Ptroglodytes seqnames: paste("chr", c(1, "2A", "2B", 3:22, "X", "Y", "M"), sep="") circ_seqs: "chrM" mseqnames: c(paste("chr", c(1, "2A", "2B", 3:22, "X", "Y", "M"), "_random", sep=""), "chrUn", paste("upstream", c("1000", "2000", "5000"), sep="")) nmask_per_seq: 4 SrcDataFiles1: sequences: panTro3.fa.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/panTro3/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/panTro3/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/panTro3/bigZips/panTro3.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/panTro3/bigZips/panTro3.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Ptroglodytes.UCSC.panTro3/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Ptroglodytes.UCSC.panTro3/masks AGAPSfiles_name: gap.txt RMfiles_name: panTro3.fa.out TRFfiles_name: panTro3.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Ptroglodytes.UCSC.panTro3-tools/0000755000126300012640000000000012227064203030206 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Ptroglodytes.UCSC.panTro3-tools/splitbigfasta.R0000755000126300012640000000160712227064203033174 0ustar00biocbuildphs_compbio### library(Biostrings) panTro3 <- readDNAStringSet("panTro3.fa") ### Send each chromosome to a FASTA file. seqnames <- paste("chr", c(1, "2A", "2B", 3:22, "X", "Y", "M"), sep="") for (seqname in seqnames) { seq <- panTro3[match(seqname, names(panTro3))] filename <- paste(seqname, ".fa", sep="") cat("writing ", filename, "\n", sep="") write.XStringSet(seq, file=filename, width=50L) } ### Send the chr*_random sequences to 1 FASTA file per sequence. for (seqname in seqnames) { mseq <- panTro3[grep(paste0(seqname, "_"), names(panTro3), fixed=TRUE)] filename <- paste(seqname, "_random.fa", sep="") cat("writing ", filename, "\n", sep="") write.XStringSet(mseq, file=filename, width=50L) } ### Send all the chrUn_* sequences to 1 FASTA file. chrUn_mseq <- panTro3[grep("chrUn_", names(panTro3), fixed=TRUE)] write.XStringSet(chrUn_mseq, file="chrUn.fa", width=50L) BSgenome/inst/extdata/GentlemanLab/BSgenome.Rnorvegicus.UCSC.rn4-seed0000644000126300012640000000263612227064204026705 0ustar00biocbuildphs_compbioPackage: BSgenome.Rnorvegicus.UCSC.rn4 Title: Rattus norvegicus (Rat) full genome (UCSC version rn4) Description: Rattus norvegicus (Rat) full genome as provided by UCSC (rn4, Nov. 2004) and stored in Biostrings objects. Version: 1.3.19 organism: Rattus norvegicus species: Rat provider: UCSC provider_version: rn4 release_date: Nov. 2004 release_name: Baylor College of Medicine HGSC v3.4 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/rn4/bigZips/ organism_biocview: Rattus_norvegicus BSgenomeObjname: Rnorvegicus seqnames: paste("chr", c(1:20, "X", "M", "Un", paste(c(1:20, "X", "Un"), "_random", sep="")), sep="") circ_seqs: "chrM" mseqnames: paste("upstream", c("1000", "2000", "5000"), sep="") nmask_per_seq: 4 SrcDataFiles1: sequences: chromFa.tar.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/rn4/bigZips/ SrcDataFiles2: AGAPS masks: all the chr*_gap.txt.gz files from ftp://hgdownload.cse.ucsc.edu/goldenPath/rn4/database/ RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/rn4/bigZips/chromOut.tar.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/rn4/bigZips/chromTrf.tar.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Rnorvegicus.UCSC.rn4/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Rnorvegicus.UCSC.rn4/masks BSgenome/inst/extdata/GentlemanLab/BSgenome.Rnorvegicus.UCSC.rn5-seed0000644000126300012640000000262112227064204026700 0ustar00biocbuildphs_compbioPackage: BSgenome.Rnorvegicus.UCSC.rn5 Title: Rattus norvegicus (Rat) full genome (UCSC version rn5) Description: Rattus norvegicus (Rat) full genome as provided by UCSC (rn5, Mar. 2012) and stored in Biostrings objects. Version: 1.3.19 organism: Rattus norvegicus species: Rat provider: UCSC provider_version: rn5 release_date: Mar. 2012 release_name: RGSC 5.0 source_url: http://hgdownload.cse.ucsc.edu/goldenPath/rn5/bigZips/ organism_biocview: Rattus_norvegicus BSgenomeObjname: Rnorvegicus seqnames: paste("chr", c(1:20, "X", "M"), sep="") circ_seqs: "chrM" mseqnames: c("random", "chrUn", paste("upstream", c("1000", "2000", "5000"), sep="")) nmask_per_seq: 4 SrcDataFiles1: sequences: rn5.fa.gz, upstream1000.fa.gz, upstream2000.fa.gz, upstream5000.fa.gz from http://hgdownload.cse.ucsc.edu/goldenPath/rn5/bigZips/ SrcDataFiles2: AGAPS masks: http://hgdownload.cse.ucsc.edu/goldenPath/rn5/database/gap.txt.gz RM masks: http://hgdownload.cse.ucsc.edu/goldenPath/rn5/bigZips/rn5.fa.out.gz TRF masks: http://hgdownload.cse.ucsc.edu/goldenPath/rn5/bigZips/rn5.trf.bed.gz PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Rnorvegicus.UCSC.rn5/seqs masks_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Rnorvegicus.UCSC.rn5/masks AGAPSfiles_name: gap.txt RMfiles_name: rn5.fa.out TRFfiles_name: rn5.trf.bed BSgenome/inst/extdata/GentlemanLab/BSgenome.Rnorvegicus.UCSC.rn5-tools/0000755000126300012640000000000012227064202027172 5ustar00biocbuildphs_compbioBSgenome/inst/extdata/GentlemanLab/BSgenome.Rnorvegicus.UCSC.rn5-tools/splitbigfasta.R0000755000126300012640000000202012227064202032146 0ustar00biocbuildphs_compbio### library(Biostrings) rn5 <- readDNAStringSet("rn5.fa") ### Partitioning: is_random <- grepl("^chr[^_]*_[^_]*_random$", names(rn5)) is_chrUn <- grepl("^chrUn", names(rn5)) is_chrom <- !(is_random | is_chrUn) ### Sanity check: stopifnot(all(is_random | is_chrUn | is_chrom)) stopifnot(!any(is_random & is_chrUn)) stopifnot(!any(is_random & is_chrom)) stopifnot(!any(is_chrUn & is_chrom)) ### Send each chromosome to a FASTA file. seqnames <- paste("chr", c(1:20, "X", "M"), sep="") stopifnot(setequal(seqnames, names(rn5)[is_chrom])) for (seqname in seqnames) { seq <- rn5[match(seqname, names(rn5))] filename <- paste(seqname, ".fa", sep="") cat("writing ", filename, "\n", sep="") writeXStringSet(seq, file=filename, width=50L) } ### Send the 1278 chrNN_*_random sequences to 1 FASTA file. random_mseq <- rn5[is_random] writeXStringSet(random_mseq, file="random.fa", width=50L) ### Send the 1439 chrUn_* sequences to 1 FASTA file. chrUn_mseq <- rn5[is_chrUn] writeXStringSet(chrUn_mseq, file="chrUn.fa", width=50L) BSgenome/inst/extdata/GentlemanLab/BSgenome.Scerevisiae.UCSC.sacCer1-seed0000644000126300012640000000160412227064204027411 0ustar00biocbuildphs_compbioPackage: BSgenome.Scerevisiae.UCSC.sacCer1 Title: Saccharomyces cerevisiae (Yeast) full genome (UCSC version sacCer1) Description: Saccharomyces cerevisiae (Yeast) full genome as provided by UCSC (sacCer1, Oct. 2003) and stored in Biostrings objects. Version: 1.3.19 organism: Saccharomyces cerevisiae species: Yeast provider: UCSC provider_version: sacCer1 release_date: Oct. 2003 release_name: SGD 1 Oct 2003 sequence source_url: http://hgdownload.cse.ucsc.edu/goldenPath/sacCer1/bigZips/ organism_biocview: Saccharomyces_cerevisiae BSgenomeObjname: Scerevisiae seqnames: paste("chr", c(1:16, "M"), sep="") circ_seqs: "chrM" nmask_per_seq: 0 SrcDataFiles1: chromFa.zip from http://hgdownload.cse.ucsc.edu/goldenPath/sacCer1/bigZips/ PkgExamples: genome$chr1 # same as genome[["chr1"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Scerevisiae.UCSC.sacCer1/seqs BSgenome/inst/extdata/GentlemanLab/BSgenome.Scerevisiae.UCSC.sacCer2-seed0000644000126300012640000000177412227064204027422 0ustar00biocbuildphs_compbioPackage: BSgenome.Scerevisiae.UCSC.sacCer2 Title: Saccharomyces cerevisiae (Yeast) full genome (UCSC version sacCer2) Description: Saccharomyces cerevisiae (Yeast) full genome as provided by UCSC (sacCer2, June 2008) and stored in Biostrings objects. Version: 1.3.19 organism: Saccharomyces cerevisiae species: Yeast provider: UCSC provider_version: sacCer2 release_date: June 2008 release_name: SGD June 2008 sequence source_url: http://hgdownload.cse.ucsc.edu/goldenPath/sacCer2/bigZips/ organism_biocview: Saccharomyces_cerevisiae BSgenomeObjname: Scerevisiae seqnames: c(paste("chr", c("I", "II", "III", "IV", "V", "VI", "VII", "VIII", "IX", "X", "XI", "XII", "XIII", "XIV", "XV", "XVI", "M"), sep=""), "2micron") circ_seqs: c("chrM", "2micron") nmask_per_seq: 0 SrcDataFiles1: http://hgdownload.cse.ucsc.edu/goldenPath/sacCer2/bigZips/chromFa.tar.gz PkgExamples: genome$chrI # same as genome[["chrI"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Scerevisiae.UCSC.sacCer2/seqs BSgenome/inst/extdata/GentlemanLab/BSgenome.Scerevisiae.UCSC.sacCer3-seed0000644000126300012640000000174312227064204027417 0ustar00biocbuildphs_compbioPackage: BSgenome.Scerevisiae.UCSC.sacCer3 Title: Saccharomyces cerevisiae (Yeast) full genome (UCSC version sacCer3) Description: Saccharomyces cerevisiae (Yeast) full genome as provided by UCSC (sacCer3, April 2011) and stored in Biostrings objects. Version: 1.3.19 organism: Saccharomyces cerevisiae species: Yeast provider: UCSC provider_version: sacCer3 release_date: April 2011 release_name: SGD April 2011 sequence source_url: http://hgdownload.cse.ucsc.edu/goldenPath/sacCer3/bigZips/ organism_biocview: Saccharomyces_cerevisiae BSgenomeObjname: Scerevisiae seqnames: paste("chr", c("I", "II", "III", "IV", "V", "VI", "VII", "VIII", "IX", "X", "XI", "XII", "XIII", "XIV", "XV", "XVI", "M"), sep="") circ_seqs: "chrM" nmask_per_seq: 0 SrcDataFiles1: http://hgdownload.cse.ucsc.edu/goldenPath/sacCer3/bigZips/chromFa.tar.gz PkgExamples: genome$chrI # same as genome[["chrI"]] seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.Scerevisiae.UCSC.sacCer3/seqs BSgenome/inst/extdata/GentlemanLab/BSgenome.influenza.NCBI.20100628-seed0000644000126300012640000000140112227064204026534 0ustar00biocbuildphs_compbioPackage: BSgenome.influenza.NCBI.20100628 Title: Nucleotide sequences of all influenza viruses in GenBank Description: Nucleotide sequences of all influenza viruses in GenBank as provided by NCBI on 2010/06/28 and stored in Biostrings objects. Version: 1.3.16 organism: NA species: NA provider: NCBI provider_version: 2010/06/28 release_date: NA release_name: NA source_url: ftp://ftp.ncbi.nih.gov/genomes/INFLUENZA/ organism_biocview: influenza BSgenomeObjname: influenza seqnames: character(0) mseqnames: "influenza" nmask_per_seq: 0 SrcDataFiles1: ftp://ftp.ncbi.nih.gov/genomes/INFLUENZA/influenza.fna.gz (downloaded on 2010/06/28) seqs_srcdir: /shared/silo_researcher/Morgan_M/BioC/BSgenomeForge/srcdata/BSgenome.influenza.NCBI.20100628/seqs seqfiles_suffix: .fna BSgenome/inst/extdata/GentlemanLab/ForgeAll.R0000644000126300012640000000320412227064204022410 0ustar00biocbuildphs_compbio####################################################################### ### Use this R script to forge all the BSgenome data packages ### library(BSgenome) pkgs <- c( "BSgenome.Amellifera.BeeBase.assembly4", "BSgenome.Amellifera.UCSC.apiMel2", "BSgenome.Athaliana.TAIR.04232008", "BSgenome.Athaliana.TAIR.TAIR9", "BSgenome.Btaurus.UCSC.bosTau3", "BSgenome.Btaurus.UCSC.bosTau4", "BSgenome.Btaurus.UCSC.bosTau6", "BSgenome.Celegans.UCSC.ce2", "BSgenome.Celegans.UCSC.ce6", "BSgenome.Celegans.UCSC.ce10", "BSgenome.Cfamiliaris.UCSC.canFam2", "BSgenome.Cfamiliaris.UCSC.canFam3", "BSgenome.Dmelanogaster.UCSC.dm2", "BSgenome.Dmelanogaster.UCSC.dm3", "BSgenome.Drerio.UCSC.danRer5", "BSgenome.Drerio.UCSC.danRer6", "BSgenome.Drerio.UCSC.danRer7", "BSgenome.Ecoli.NCBI.20080805", "BSgenome.Gaculeatus.UCSC.gasAcu1", "BSgenome.Ggallus.UCSC.galGal3", "BSgenome.Ggallus.UCSC.galGal4", "BSgenome.Hsapiens.UCSC.hg17", "BSgenome.Hsapiens.UCSC.hg18", "BSgenome.Hsapiens.UCSC.hg19", "BSgenome.Mmulatta.UCSC.rheMac2", "BSgenome.Mmusculus.UCSC.mm8", "BSgenome.Mmusculus.UCSC.mm9", "BSgenome.Mmusculus.UCSC.mm10", "BSgenome.Ptroglodytes.UCSC.panTro2", "BSgenome.Ptroglodytes.UCSC.panTro3", "BSgenome.Rnorvegicus.UCSC.rn4", "BSgenome.Rnorvegicus.UCSC.rn5", "BSgenome.Scerevisiae.UCSC.sacCer1", "BSgenome.Scerevisiae.UCSC.sacCer2", "BSgenome.Scerevisiae.UCSC.sacCer3" ) for (pkg in pkgs) { cat("\n") cat("============================================================\n") cat("START FORGING ", pkg, "\n", sep="") cat("\n") forgeBSgenomeDataPkg(pkg) cat("\n") cat("END FORGING ", pkg, "\n", sep="") } BSgenome/inst/extdata/GentlemanLab/bump_seed_version.sh0000755000126300012640000000036112227064204024642 0ustar00biocbuildphs_compbio#!/bin/bash set -e # Exit immediately if a simple command exits with a non-zero status for seed in BSgenome.*-seed; do mv $seed ${seed}.old cat ${seed}.old | sed -r "s/^Version: 1\.3\.16$/Version: 1.3.17/" > $seed rm ${seed}.old done BSgenome/inst/extdata/ce2chrM.fa0000644000126300012640000003337412227064204020047 0ustar00biocbuildphs_compbio>chrM CAGTAAATAGTTTAATAAAAATATAGCATTTGGGTTGCTAAGATATTATT ACTGATAGAATTTTTAGTTTAATTTAGAATGTATCACTTACAATGATGGG GTTTAAAATTCTATAGTAAAAGTGTTTTTTGTTTTAGCTGTTTTAAGTAG GATTATTAGATATATTAATATTGACCCTATAAAAAGAAGTTTTTTTCTTA TCTTTTCACTACTTTTTAGTATACCAGTTATTTCAATGAGAATACATATT TGGTTTTCTTACTTTATTTGTTTATTATTTTTAAGTGGTATTTTTGTTAT TTTGGTATATTTTTCTAGTTTATCTAAAATTAATGTAGTGAAAAGTTATA TAGCTGTGTTTTTACTTTTGTTAAGAATGTTATATTTTTCTCCCACAGTA TTAACTTATAGAAGATATTTAGGTTTAAGAGGTTTTTATTATAGTATTTA CTGGTTTATTTTTTGTTTTATTTTAGTATGTTTATTATTTTTTATAAATT TTAGTAGTTATTTTTTAAATTTTTCAGGTGCTTTACGTAAAGTTTAAAAT TATGTTTTTATTTGTTAGATTATTTATATTTATTTTTAAATGACAACGTT TAATTTTTATTCTAATTTCTTTAGAATTTATAATGTTGAGATTATTTTTA AAATTTTCTTATGTTTTAGGGGAAATAATGTTTTTTTATTTTATGTGTTT TTCTGTTATTTCAAGAATCCTGGGTATGGTAGTTATAGTAGGTAATATAA AATTTTTTGGTAGTGATAATTGTATTTTTTAGTAACAGATATAAGTTAAG TTTAAACTATTGATCTTCAAAATCAAAAATTTATTTCTGTAGAGATAATA GTATAAATAAGTATGTTTCTTTTTCGCAGAAATGGTTTTTTATCTTATAA AGTTTTCTTTCAGGGAATTAAAATTTGATCATGGTTTAAGATGATTTAAA ATGGTATTATCTAAATTTGATTTACAGAGTAGGCAATAAAAATTTACCTC GGCAATTTATCGCTTGTAAAATACTTGTTCCAGAATAATCGGCTAGACTT GTTAAAGCTTGTACTTTAATTGATGTTAATTATGAAATTATTATATTTTC TTTTAGATCTATGGTAGAATTTGGATTTATATTAGTGAATTTTCATAATT TTAAGATTTGTTGAACAAAGCAGATTAGTACCTGGTTAGACAAAAATTAA AAGAGCAGGAGTAAAGTTGTATTTAAACTGAAAAGATATTGGCAGACATT CTAAATTATCTTTGGAGGCTGAGTAGTAACTGAGAACCCTCATTAACTAC TTAATTTTTTGACTCGTGTATGATCGTTTATTTTATTCTTAAGGATTATA ATAAAAAATTTTTAATTTATTAAAATAGATATATACCCGGTTTATGATTT AAGAAACATTTGGCCTACAATATTTTATATTATGGATTTTAGTTTTAGTT AACTAAATGAAATTGTAAAAGACAGTAAAAAATTCTTAATGTATTTTTGA AGATTATCTAGAAGTGGTACAAATCATCCATCAATTGCCCAAAGGGGAGT AAGTTGTAGTAAAGTAGATTTAGGGGAACCTGAATCTAGTAATAAAACTA TTTTTAAATATGTTTTGAAAACATGTTTTGAGGTAACTCGTAGTTTTTAA GAGTTAGTTTAATATAGAATTGTTGACTGTTAATCAAAAGGTGTACCTCT TAATATAAGAGTTTAGTTTAAGTTAAAACGTTAGATTGTAAATCTAAAGA TTATTGCTCTTGATAATTTTAGTTTTACTTATAGTTATTTTAATGATGAT TTTTATTGTTCAAAGAATCGCTTTTATTACTCTATATGAGCGTCATTTAT TGGGAAGAAGACAAAATCGTCTAGGGCCCACCAAGGTTACATTTATGGGA TTAGCACAAGCTTTATTGGATGGGGTTAAACTTTTAAAAAAAGAACAAAT AACACCCTTAAATTCCTCTGAAGTATCATTTTTACTTGTACCAGGAATTT CTTTTGTTGTAATATATTTAGAATGATTTACGTTACCATATTTTTTTGAT TTTATTAGTTTTGAGTATTCAGTTTTATTTTTTTTATGTTTAATTGGATT TTCTGTTTATACAACTTTAATTAGCGGTATCGTAAGAAAATCAAAATATG GTATAATTGGGGCCATCCGTGCTAGAAGACAAAGAATTTCTTATGAAATT GCTTTTTCTTTATATGTTTTGTGTATTATTATTCATAATAATGTTTTTAA TTTTGTTTCAAAATTTAATTTGAGACTTTTAATTATTTACATCCCATTTT TAATTATAGTAATTGCTGAACTTAACCGGGCGCCATTTGATTTTTCTGAA GGTGAAAGGGAGTTAGTTAGAGGATTTAATGTGGAGTTTGCCAGAGTAGC TTTTGTTTTATTATTTTTAAGGGAATATGGAAGATTAATTTTTTTTAGGG TACTTTCTTCTGCTATATTTTTTAAATTTTCAATTTTTATAGCATTTAGT ATTTTTTCATTATTAATTTTTATTCGTAGTTCATACCCTCGTTATCGTTA TGATTTAATAATAAGTTTATTTTGATTTAAACTTTTACCAATCTCTTTAA TTATATTGTGTTTTTACGCAGTTATTTTTTATTATTAATCAAGTTTATTT TTTAGACATTTTTATATTTGTTTTTGTTTTACAATTTTTGTTTTATTTTA AAGAAAGTATATTAAATACTTTAGTGAAAAAATTTCTTAATAGGTTAGTA GGAGTATTTAGATATACAAATACTTTACCATTAAGGTCAGTAATTTCTAT TTTTACTTTTATTGTTCTTTTAACTTGTTGTTTTGGAGGTTATTTTACTT ACTCTTTTTGTCCTTGTGGAATGGTTGAATTTACTTTTGTTTATGCTGCT GTAGCGTGATTAAGTACTTTGTTAACTTTTATTTCAAGAGAAAAATTTTC AGTTTATATAAGAAAACCAGGAGACACATATTTGAAAACTCTTAGAATGC TATTAATTGAAATCGTTAGAGAATTTTCTCGTCCACTTGCTTTAACAGTG CGTTTAACAGTTAATATTACTGTTGGTCATTTAGTTAGAATAATGCTTTA TCAAGGATTAGAATTAAGAATAGGTGATCAGTATATTTGATTATCAATTT TAGCCATTATAATAGAATGTTTTGTTTTCTTCATTCAAAGTTATATTTTC TCTCGTTTAATTTTTTTATATCTTAATGAGTAATAAAAAAAAAAAGATGT TAACTTAAGTTTTAAAGTGCCAAACTTTTAATTTGGAAATGGTGGACCAC ATCTTAGTTGATATAGCATAAGAAGTGCATTTGTTTTAAGCGCAAAAGAT ATCCGTCAACTAACGAGTTCATAAAGCAAGTCTTCTAAATTTGTTCTAGG TTAAATCCTGCTCGTTTTTGATTGTTTTTATTTCTTTATTTACCTTGTTT TTAACATTATTAAGAATTTTGACTAATAACGTTATTGTTTGATGAAGAAT TTTTTTATTGATAACTGTAGTTTTTATTCTATTAAATAAAAGCAGCAAGA GATATACCAGAATTTTTAATTATTTTGTTATTCAAGAGTCTTTAGGTTTA TTATTTCTTCTTTGTAGAGGAGGTCTATTACAATTTTTTATTATTTTATT GAAAATTGGTGTAGCACCGCTCCACTTTTGAATTTTTAATGTAACAAATA ACATTTTTAATTATGGGCTAATGTGGTTTTTAACATTTCAAAAATTACCA TTTTTAACTATTTTATTACAAATTTTTTGGTTAAGATCCGTGTATATTTT GTTATTTGGTTTATTGATTTGTTATGTTCAAATTTTTGTCATAAAAAGTT ATAAAAATTTGTTAATTATTTCATCCACAGAGTCTTTTAATTGGATTGTT TTGGGAGTATTTTTTTCAATGTTTAATACATTTTATTTATTTATTTATTA CTTTGTATTAATAGTTTTATTAATTTCTAAGTTTTCTAAAACTAGGGGTT ATAATTTTATTAATTGAGAAACAACATTAGTATTTTTAAATATTCCATTT AGAGTTTCATTTTTTGTAAAAATTTTCTCATTGAGGGAAATTTTTAAATA TGATAGATTCTTTACTCTATTTTTGCTTTTTACAATATTTTTATCTGTAT TGGCATTTAGATTTTGATTAATTAACTTGAGAATGAAAAATAATGAAGAA ACTTCAAATAATAATAAAATAAATTATTTTATTATTTTTCCGTTAATAGT TATTTCTATTATTTAATTACTTTTCTAGTAAAATATATTATATTATCTTG ATAAGGTAAAGTTCCAGTTGGGAGAAGTAAGATGTAAAATAGATATTACT ATGTTTGGTTACGGTCCAAAAAGATGCACATCTTTGCGATCTAGTTTAGA AAAAATATTTGTTTTTGGTGCAAAAGAGTTTGATTGCATTTAGTTTACTC TTTTAGTTTATAATTAAAATATGGCCCTGAAGAGGCTAAGAATATTAGGA GTATTGAAAATTAATAATAGATTATTAAATTTTGTTAATGGGATGTTGGT GACATTGCCATCTAGAAAAACTTTAACATTAAGATGAAATTTTGGTAGTA TATTGGGTATAGTTTTAATCTTTCAGATTTTAACAGGTACATTTTTAGCA TTTTATTATACGCCCGATAGGTTAATAGCATTTTCAACAGTGCAGTATAT TATGTATGAGGTAAATTTTGGATGAGTATTTCGAATTTTTCATTTTAATG GGGCCAGGTTATTTTTTATTTTTTTGTATTTACATATTTTTAAAGGGTTA TTTTTTATAAGATATCGTTTAAAAAAAGTATGAATGTCTGGTTTAACAAT TTATTTATTAGTAATAATAGAAGCTTTTATAGGTTATGTTTTAGTTTGAG CTCAAATAAGATTTTGAGCAGCAGTAGTTATTACTAGACTTTTAAGAGTT ATTCCAATTTGAGGGCCAACTATTGTTACTTGAATTTGAAGAGGTTTTGG TGTTACAGGGGCAACATTAAAATTCTTTTTTGTATTACATTTTTTATTGC CGTGAGCTATTCTAGTTATTGTATTGGGGCATTTAATTTTTTTACACAGA ACTGGTAGAACATCTAGGTTATATTGCCACGGTGATTATGATAAAGTTTG TTTTAGACCTGAGTACTTAGGTAAAGATGCTTATAATATTGTTATTTGAT TATTATTTATTGTGTTAAGGTTGATTTACCCGTTTAATTTAGGTGATGCA GAGATGTTTATTGAAGCTGACCCTATAATGAGGCCAGTTCATATTGTTCC AGAGTGATATTTTTTATTTGCTTATGCAATTTTGCGTGCTATTCCAAATA AAGTCTTAGGGGTAATTGCTTTATTAATAAGGATCGTAACATTTTATTTT TTTGCTTTAGTTAATAATTATACCTCTTGTTTAACCAAATTAAATAAATT TTTAGTATTTATATTTATTATCTCATCTACTATTTTAAGATGACTAGGTC AATGCACTGTAGAAGACCCTTTTACAATTTTAAGACCTTTATTTTCTTTT ATTTATTTTGGTTTAGCTTATTTAATATTGTTTATTTTTATAAGAAGTAA ATTGTTATTTAAATAATAAAACATGTCTAGTATAAGTTAATACATTAGAT TTAGGTTCTAAAGATTTGTGATATGTTATATTTCATAATTTTCATATTTT AAGACTTTCAAGGTATGCATATAATTTATTTTTTGCCTCAGCCGGAATGT TAAGATCTTTAGTAATATTTTTTAAATTTGGACTATACGAATTATTTATT TTTACACTATTTTCTGTGTTATTTATTTCTTTTGCTTGAGGTAAGGATAT TGCTATAGAAGGTTTAAGAGGTTACCATAATTTTTTCGTTATAGACGGGT TTAAATTCGGAGTAATTTTATTTGTGTTTAGGGAGTTTATATTCTTCTTT TGTATTTTTTGAACATTTTTTGATGCTGCTCTAGTACCAGTACACGAGTT GGGAGAGACTTGATCACCTTTTGGAATGCACTTAGTTAATCCATTTGGTG TACCGTTATTAAATACAATTATTTTATTAAGGAGTGGTGTTACAGTAACT TGAGCACATCACAGATTACTTAGAAATAAAAGATGTACTAATAGTATAAT TTTAACATGTTTATTGGCAGCTTATTTTACAGGAATTCAATTAATAGAGT ATATAGAAGCTAGATTTTCTATTGCAGACGGAGTATTTGGAAGGATTTTT TATTTATCTACGGGATTTCACGGAATTCATGTCTTGTGTGGTGGTTTGTT CTTAGCATTTAATTTTTTACGTCTTCTAAAAAATCATTTTAATTATAATC ATCATCTGGGGTTGGAATTTGCTATTTTATATTGACATTTTGTTGATGTA GTGTGATTATTTTTATTTGTGTTTGTTTATTGATGATCTTACTAATATAG CTATGATAGTTTAATTTAGAATATATAACTTGTAATTATAAGGTTTCTAG TAGCTTTGTTAGAATTTCTTTTTATCTCCTTATTATGACTTTTTAAACCT ATTTATTTTTTATTATTTACAGTGATGTTTAGGTTTTTAATTTTTAATAA TTTTTCATGAGGCGGACTATTTTTAGTATTAGATTCATATAGATTTATTT TATTGATTGTTATAAGATTATTTATTTTAGGTATTATTGTTATTAGAGAA AAAAATAATAATTTATTGATTTTATCTGAAATTTTAGTATTTATTTGTAT TATTTTTTTTATTCCTAGTAATATAATAATATTATATATGTTTTTTGAAT TATCTATATTTCCAATTTTGGTTATAATTCTAGGTTATGGTTCTCAAATT GAAAAAATTAACTCCTCTTATTATTTAATATTTTATGCAGCTTTTTGTTC ATTCCCATTTTTATTTGTATATTTTAAGAGTAATTTTTTATTGGTTTTTA CTTACTATAATTTTGTTATTTCTTGAGAAATATTTTTTATTCTTAGTTTA AGATTTATAATAAAATTTCCAATTTATTTTTTACATCTTTGATTACCTAA AGCTCATGTAGAGGCTCCTACAACAGCTAGAATACTTTTAGCTGGATTAC TATTAAAATTAGGCACAGCGGGATTTTTACGTATTTTAGGTAGTTTAAGA TTTGTACACAACAATGTATGAATTTTAATTGCATTTTTAGGGATAATTTT AGGATCTTTTTGTTGTGTGTTTCAAAGAGATTCAAAGGCTTTAGCAGCTT ATTCTTCAGTCACTCATATAAGGTTTTTATTATTATCACTGGTATTTATC ACAATGAGTAGTAAAATTAGAAGAGTTATGCTTATGCTAGCACACGGTTA TACATCTACACTTATGTTTTACCTTATTGGTGAATTTTATCATACATCTG GGAGGCGTATAATTTATTTTATAAGTAGATTTTTTAGATCTAGAATAATT ATAGGTATTTTGTTTTCAGTTGTATTTTTATCAAATAGGGGTGTACCACC TTCTTTGTCATTTTTATCAGAATTTTTAGTTATTTCTAATAGTATATTAA TTAGAAAAAGTATATTTGTAATAATTTTTATTTATTTTGTAGTATCTTTT TACTATTCTTTATTTTTGATTACAAGATCTTTAATAGGAAAAGGTTACCA TAATTTTAATACTTGAAATGTAGGGTTTTCAGCACCATTAGTCTTAATAA TATATAATGTATTTTGATTAAGTGTGTTTTACTAATAATCTAGAGATCTA TCTCTTTTTTGAGCACGTTAGTACATTATTTTTAATAATGTGCTAATAAT TATGTTTAAAAGTAAAATTTTTATTTTAAGTATTCAACTTTTAAATTAAT CTTTATAAAAAATATCAAGGAGGATTGGCAGTTTGATTAGAGAGATCTAA TCATAAAGATATCGGAACTCTTTATTTTATTTTTGGACTTTGATCTGGTA TGGTTGGTACTAGATTTTCTTTATTAATTCGTTTAGAATTAGCTAAACCA GGTTTTTTTCTTAGGAATGGACAGTTGTATAATTCAGTTATTACAGCTCA TGCTATTTTAATAATTTTTTTTATGGTAATACCTACTATAATCGGTGGTT TTGGTAACTGATTATTACCACTTATGTTAGGAGCACCTGATATAAGATTT CCACGTTTAAATAATTTAAGATTTTGGTTATTACCTACATCTATATTATT AATTTTAGATGCTTGTTTTGTAGATATAGGTTGTGGGACTAGGTGAACAG TCTACCCACCTTTAAGAACAATGGGGCACCCTGGAAGTAGAGTAGATTTA GCTATTTTTAGTTTACATGCAGCAGGGTTAAGATCTATCTTAGGTGGTAT TAATTTTATGTGTACTACTAAAAATTTACGTAGAAGTTCTATTTCATTAG AACATATAACTTTATTTGTTTGAACTGTATTTGTAACAGTGTTTTTACTG GTTTTATCTCTACCGGTTTTAGCAGGGGCTATTACTATGTTGTTAACTGA TCGTAATTTAAATACTTCATTTTTTGATCCAAGAACTGGAGGTAATCCTC TTATTTATCAACATTTGTTTTGATTTTTTGGTCATCCTGAAGTATATATT TTGATTTTACCAGCTTTTGGTATTGTCAGACAATCTACACTTTATTTAAC AGGAAAAAAAGAAGTTTTTGGTGCTTTGGGTATAGTTTATGCAATTTTAA GAATTGGTTTAATTGGTTGTGTAGTATGAGCTCACCATATGTATACAGTA GGTATAGATTTGGATTCACGTGCTTATTTTTCGGCTGCTACTATAGTTAT TGCAGTGCCAACAGGTGTTAAAGTGTTTAGATGATTGGCTACATTATTTG GTATAAAAATGGTATTTAATCCACTTTTATTGTGAGTATTGGGTTTTATT TTTTTGTTTACTTTAGGTGGGTTGACAGGTGTTGTATTATCTAATTCAAG ATTGGATATTATTTTACATGATACTTATTATGTAGTTAGACATTTTCATT ATGTTTTAAGTTTAGGAGCTGTTTTTGGGATTTTCACGGGTGTTACACTA TGATGAAGATTTATTACAGGGTATGTGTTAGATAAACTTATGATATCTGC AGTATTTATTTTATTATTTATTGGGGTAAATTTAACATTTTTCCCGCTAC ATTTTGCAGGACTACACGGGTTCCCACGTAAATATTTAGATTACCCTGAT GTTTATTCGGTATGAAATATTATTGCCTCTTATGGTTCTATTATTAGAAC TGCAGGACTATTCTTATTTATTTATGTATTATTAGAGTCTTTCTTTAGTT ATCGTTTAGTAATTAGAGATTATTATTCTAATAGAAGACCTGAGTATTGT ATGAGTAATTATGTATTTGGTCACAGTTATCAGTCTGAGATTTATTTTAG AACTACTAGATTAAAAAATTAGAAACCTTAGTATAATTTTAGTATATTTA ATTGCAAATTAAATGGTATTGGTTTTTAGTAAGATAGGATAATTAAGTCT GTAAGGTTCATACCCTTGAGGTGGTTTTCTCTTATTAAAAGTTTTAGTAT AAAAAAGTATATTTTATTGTCAATAAAAAGGTAAAAACTTTAGATTCTTT AGTATAATTCAGTATGTTTGACTTCCAATCAAAAGGTTTTGAGGATTAAT TAATAATTTTTTTCAAGGATATAATTTACTATTTCAGCATAGTTTATTTG CTAGTTATATAGATTGATTTCATAGGTTTAATTGTAGTTTATTGTTGGGA GTTTTAGTGTTTGTTACTTTATTGTTTGGATATTTAATTTTTGGTACTTT TTATTTTAAAAGAAAAAAAATTGAGTATCAGTTTGGTGAATTATTGTGTA GTATTTTTCCAACTATTATTTTATTAATACAAATAGTTCCTTCACTTAGG CTTTTATATTATTACGGATTAATAAATTTAGATAGAAATTTAACAGTTAA GGTTACAGGACATCAGTGATATTGAAGATATGAATATAGAGATATTCCTG GGTTAGAATTTGACTCTTATATAAAATCACTAGATCAATTAAGTTTAGGT GAACCACGTTTATTAGAAGTTGATAATCGTTGTGTTATTCCTTGTGATAC TAACATTCGTTTTTGTATTACATCTGCTGATGTTATTCATGCTTGGGCAT TAAATTCTTTATCTGTAAAATTAGATGCTATAAGAGGAATTTTAAGAACA TTTAGTTACAGGTTTCCTATAGTGGGAGTTTTTTATGGTCAATGTTCAGA GATTTGTGGAGCAAATCATAGTTTTATACCAATTGCTTTAGAGGTAACAT TATTGGATAATTTTAAAAGATGATGTTTTGGTACTATAGAATAATTTAGC TTAATAGTTTATATTAAAATGTTTACTTGTGGTGTAAGAGAATATAGAGC TTTAAATTTTACTTGTTTAAATATTGGTATTGCATACTATTACAATAAAA TTTCATGTTAATGAAAAATAGAAACAAAGGGTAGAGTAAATATTAGTTTT ATTGTTTCATACTAAAAATTATATTTATTAGAGTTGATATGTCGACCTTT GTGATAACTGTTTTTATTTTTATATTAGAAAATTATATATTATATAATTA TTTTAGGAAATTTAAAATTTGAAGTGTTTTAAATTTATGTTTTACAACAT TTTCCTAATTTTATTTAAGTTTAATTTTTAATTTAATAAAGTTTTATTAA ATAAATAATTTGTAAATTAGTAAATTTTATAAATTTAATTTATTATTAAA ATATAATTGAAGAACTTGAAGTCTTGATCAAATGTTTTTTAAAGACTTAG GCTTTATATTAAAGCTGGCTTCTGCCCTATGATATTTAAATGGCAGTCTT AGCGTGAGGACATTAAGGTAGCAAAATAATTTGTGCTTTTATTGAGTTCC AGTATGAATGAAGTTATTGGTTAGTTCTATTTATGTTTTATGTTTGAATT TAATTTTTATTTAAGAAAAAATAAATATATTTATACAAAGATAAGTCTTC GGAAATTCTGTTATTACACAATTAAATAATTGTGTAATAAATTTTCTAGG GCAGAATATTATATAATAGTATTTCACTATATTTAATTTAAAGAATTACT CCGGAGTTAACAGAAAATCATACCTAATCTAGTACTTATAGTAAGGTAAG TTTTACATCGATGTTGTATTCAGATAATCTAAGAGAGGAGAAGGCTTAGT AGTTTAGACTGTTCTTCTATTAATTAATCTGACGTGATATTAGTTTAATT CATTGTGAGATAGAATTGTTTATCTTGATAAATATTTATATTTAATACAT TTAGTACGAAAGGAACATTGTAAAAGTTTTAAACTTTAAAGATTTTGAAA TCTTTATTTTAGTGCTATTAATAGTTTTAGTGTTTACGCTAGTTTTATTA TTTGCTTTTTATTTGATTAATTTTTTATTAAGAATTAAGGATATAGGAAA AAATAAAATTAGAGCGTTTGAATGTGGTTTTGTAAGAGTTGGAAAAATTC AAAATTCTTTTAGAATTCATTTTTTTATTATGATATTGATATTTGTTATT TTTGATTTAGAAATTGTTATGTTTTTAGGTATTTTAGTATCAGATTTAAG TTCGTATATCAGGTTTTTAATAATATTCATCTTCATCTTGGGAGGATTTT ACATAGAGTGATGATATGGTAAATTAGTTTGAGTAATTTAATTAATATTT CTATTTTTTTGATTGGATTTGTTTTTTTTATAGGTGGAATTAGTGTTTGG CTTATACCCACATTTAAATTAGGAATCTTTTTTTTAGAATGAGATTTTTT AAGGTTAAAATTTAATTTTTATTTTAATAGAATCTTATTTTCGTTTATTC TTTTTTTGGTAACGTTTAGAGTTTTAGTTTTTAGTACTTATTATTTAAAT AGTGAGTTAAACTTTAATTATTATTATTTTGTATTGTTAATTTTCGTAGG TAGAATGTTTAGGCTAAATTTTAGAAACAGTATTTTTACAATGTTACTAA GATGAGATTTATTGGGTATTTCTAGGTTTTTTTTAGTTTTATTTTATAAT AATTGAGATAGATGTAGGGGTGCAATAAATACAGCATTAACTAATCGTCT AGGTGATTATTTTATATTTGTCTTTTTTGGTTTATCGGTTTTTAGAGGTT ATTATTTTTTAAGATTTAGAATATTTAGAAGTTATATATCTTTATTATTA CTTTTAACAGCTTTTACTAAAAGAGCACAATTTCCATTTAGATCTTGGTT ACCCAAAGCTATAAGAGCCCCCACACCGGTGAGGTCTTTGGTTCATAGTA GAACTTTAGTTACAGCAGGATTAATTCTATTAATAAATTTTAATAATTTA GTAATACAGAAAGATTTTATCAGTTTTGTTCTGATTATTGGCCTATTTAC TATATTTTTTTCTAGCTTAGCAAGTTTGGTCGAAGAAGATTTGAAGAAGG TGGTAGCCTTGAGGACACTTTCACAAATAGGTTTTTCAATAGTTACTTTG GGCCTAGGGCTTAGGTTTATTTCATTTATTCATTTAGTTAGACATGCTTT GTTCAAAAGATGTTTATTTATACAAGTAGGTTACATTATTCATTGTTCAT TTGGACAACAAGATGGACGTAATTATAGGAATAATGGTAATTTACCAAAT TTTATTCAGTTACAAATATTAGTAACCCTATTTTGTTTATGTGGATTAAT TTTCTCAAGGGGTGCTGTAAGAAAAGATTTTATTTTAGAATTATTTTTTT CTAATAACTATATAATGTTTTTTAGATTAATATTTTTTGTTTCAGTGTTT TTGACTTTTGGTTACAGTTTTCGTCTTTGAAAAAGATTTTTTTTAAGGTT TAATAAAGTAATAAATCATTACAGTAGCACAGTATTTATAAATTTTTTAA GTTTAGTATTAGTTATTTTTTCTATTAGATTTTTATGATGAATAAATTTT AATCTTCTTAACATCCCAAGACTTTTCTTATACGTAGATTTTTTTGGCCC TCTAGTATTTTTATTTATAATAATTTTTTTATCTTTTTTAATTTTAAAAA TATTATTTAAGGAGTTAATATACAAGTTTTTAGTTGATTATTTGGCTAAA AATAGTATTTATAAAATAAAGAATTTAAAATTTATAGATTTATTTTTAAA TAATATTAATTCTAAGGGGTACACCTTATTTTTAAGCAGTGGTATATTTA AAAATTACTATTTAAAAAGGTTAAATTTTAATAGTGTAGTAGTTTTAATT TTTATTTTTTTTATAATTTGTTAAGGGATTTTAGTTTAATAAAAATATAT GTTTTGCATACATAAGATAATAATTCTAGATAGTTTTACACGCGCGTATA CGCGCGTTATAAATATATATATATATATATATATATATATATATATATAA TAATAATATTATATTTATATTATAAATATAATATTTATTATAAATTATAT ATTATATTTATATTATAAATATAATATTTATTATAAATTATATATTATAT TTATATTATAAATATAATATTTATTATAAATTATATATTATATTTATATT ATAAATATAATATTTATTATAAATTATATATTATATTTATATTATAAATA TAATATTTATTATATATTATATATATTATATTTATATTATAAATATAATA TTTATTATTAATAATTCATCATATTTATATTATAAATATGATGAAGTACT AAAAAAAAGATGAATATTCTATAATATATTTAGATATATTATAGAGTATT TATCTTATTATTTATAGATATATACTTTGTATATATCTATATTA BSgenome/inst/extdata/ce2dict0.fa0000644000126300012640000000307612227064204020155 0ustar00biocbuildphs_compbio>pattern01 GCGAAACTAGGAGAGGCT >pattern02 CTGTTAGCTAATTTTAAAAATAAAT >pattern03 ACTACCACCCAAATTTAGATATTC >pattern04 AAATTTTTTTTGTTGCAAATTTGA >pattern05 TCTTCTTGGCTTTGGTGGTACTTTT >pattern06 AACAATTATCTATAAT >pattern07 GGTTTTGGAGAGTGATGCACGT >pattern08 TTTAATGAACCCCAGCAACTC >pattern09 TACTGAAACTCCCGCGAG >pattern10 GAGGGGAAAAATAGGACGGAAATA >pattern11 AAAAAATCGTTTTATAGT >pattern12 CAGTTTTGATCAATGC >pattern13 ATCAAACAAATGTATTGCAA >pattern14 GTAGGGCTACTGTATGATTAATGT >pattern15 GACGGAGAAATATTTGCACAG >pattern16 AAAAACGAGAAAATGACATT >pattern17 TATGGTGAAAACTTTC >pattern18 GAAATATCGTCGGAAAATCGA >pattern19 TTATAATAAAATTTC >pattern20 ATAGCTTCTGGAGACATCCAT >pattern21 TTCTGAAACTTCCATTTTCACTCA >pattern22 AATAGAAGAATGCTGT >pattern23 AGTCGTATTGCGAAT >pattern24 GTTTTCTATCAATTTAAGAT >pattern25 GTTAAAATATCCGTTTAAA >pattern26 TTTTTTTTATTCCTAGTAA >pattern27 ACGATTTTGTGATGGCGATTTTG >pattern28 ATTTTAATTATAAACTA >pattern29 TCACCTTTCCGGTAGAAAACT >pattern30 TAATGGGTATTTGTTTATTTAAAC >pattern31 CTATGAAATGCCTAGCCGTT >pattern32 CGCCGGATGTCAGCAGCTTC >pattern33 ATGGTTTAAGATGATT >pattern34 GGAAATATTCTGAAAA >pattern35 GAAACGAGCGGGACAC >pattern36 ACCCTAAAAGACTCACCC >pattern37 GCGGGCGATTGCCAATGGAGCGCG >pattern38 GTGTGGCTGTTCAATATTGTAC >pattern39 GATATACGAACTTAA >pattern40 CCGGCATGTAAATGAGAA >pattern41 ATGAGATAAACACATCAAACTAC >pattern42 AAAATAAGATTCTATTAAAATA >pattern43 GTTTTAATTCTAATT >pattern44 CATCGTTTCAACCGTTCG >pattern45 TAAAAAATCAAAACTTTTG >pattern46 TTTTGAACAAAGCATGTCTAACTA >pattern47 TAAACGAATTTAGGATATAT >pattern48 AAGGACCAGGATTGGCACG >pattern49 AAATAACTGCGTAAAAACACAATA >pattern50 AAAATGCCGGAGCATTTTAAAG BSgenome/man/0000755000126300012640000000000012227064177014417 5ustar00biocbuildphs_compbioBSgenome/man/BSParams-class.Rd0000644000126300012640000000353512227064177017467 0ustar00biocbuildphs_compbio\name{BSParams-class} \docType{class} \alias{class:BSParams} \alias{BSParams-class} \alias{BSParams} \title{Class "BSParams"} \description{ A parameter class for representing all parameters needed for running the \code{bsapply} method. } \section{Objects from the Class}{ Objects can be created by calls of the form \code{new("BSParams", ...)}. } \section{Slots}{ \describe{ \item{\code{X}:}{ a BSgenome object that contains chromosomes that you wish to apply FUN on } \item{\code{FUN}:}{ the function to apply to each chromosome in the BSgenome object 'X' } \item{\code{exclude}:}{ this is a character vector with strings that will be used to filter out chromosomes whose names match these strings. } \item{\code{simplify}:}{ TRUE/FALSE value to indicate whether or not the function should try to simplify the output for you. } \item{\code{maskList}:}{ A named logical vector of maskStates preferred when used with a BSGenome object. When using the bsapply function, the masks will be set to the states in this vector. } \item{\code{motifList}:}{ A character vector which should contain motifs that the user wishes to mask from the sequence. } \item{\code{userMask}:}{ A \linkS4class{RangesList} object, where each element masks the corresponding chromosome in \code{X}. This allows the user to conveniently apply masks besides those included in \code{X}. } \item{\code{invertUserMask}:}{ A \code{logical} indicating whether to invert each mask in \code{userMask}. } } } \section{Methods}{ \describe{ \item{\code{bsapply(p)}}{Performs the function FUN using the parameters contained within \code{BSParams}.} } } \author{Marc Carlson} \seealso{ \code{\link{bsapply}} } \keyword{classes} BSgenome/man/BSgenome-class.Rd0000644000126300012640000002137012227064177017513 0ustar00biocbuildphs_compbio\name{BSgenome-class} \docType{class} % Classes \alias{class:BSgenome} \alias{BSgenome-class} \alias{BSgenome} % Accessor methods: \alias{sourceUrl} \alias{sourceUrl,BSgenome-method} \alias{mseqnames} \alias{mseqnames,BSgenome-method} \alias{names,BSgenome-method} \alias{masknames} \alias{masknames,BSgenome-method} \alias{seqinfo,BSgenome-method} \alias{seqinfo<-,BSgenome-method} \alias{seqnames<-,BSgenome-method} % Constructor-like functions and generics: \alias{BSgenome} % Standard generic methods: \alias{show,BSgenome-method} \alias{length,BSgenome-method} \alias{[[,BSgenome-method} \alias{[[<-,BSgenome-method} \alias{$,BSgenome-method} \title{BSgenome objects} \description{ The BSgenome class is a container for the complete genome sequence of a given organism. } \section{Accessor methods}{ In the code snippets below, \code{x} is a BSgenome object. Note that, because the BSgenome class contains the \code{\link{GenomeDescription}} class, then all the accessor methods for \code{\link{GenomeDescription}} objects can also be used on \code{x}. \describe{ \item{\code{sourceUrl(x)}}{ Returns the source URL i.e. the permanent URL to the place where the FASTA files used to produce the sequences contained in \code{x} can be found (and downloaded). } \item{\code{seqnames(x)}, \code{seqnames(x) <- value}}{ Gets or sets the names of the single sequences contained in \code{x}. Each single sequence is stored in a \link[Biostrings]{DNAString} or \link[Biostrings]{MaskedDNAString} object and typically comes from a source file (FASTA) with a single record. The names returned by \code{seqnames(x)} usually reflect the names of those source files but a common prefix or suffix was eventually removed in order to keep them as short as possible. } \item{\code{seqlengths(x)}}{ Returns the lengths of the single sequences contained in \code{x}. See \code{?`\link[XVector]{length,XVector-method}`} and \code{?`\link[Biostrings]{length,MaskedXString-method}`} for the definition of the length of a \link[Biostrings]{DNAString} or \link[Biostrings]{MaskedDNAString} object. Note that the length of a masked sequence (\link[Biostrings]{MaskedXString} object) is not affected by the current set of active masks but the \code{nchar} method for \link[Biostrings]{MaskedXString} objects is. \code{names(seqlengths(x))} is guaranteed to be identical to \code{seqnames(x)}. } \item{\code{mseqnames(x)}}{ Returns the index of the multiple sequences contained in \code{x}. Each multiple sequence is stored in a \link[Biostrings]{DNAStringSet} object and typically comes from a source file (FASTA) with multiple records. The names returned by \code{mseqnames(x)} usually reflect the names of those source files but a common prefix or suffix was eventually removed in order to keep them as short as possible. } \item{\code{names(x)}}{ Returns the index of all sequences contained in \code{x}. This is the same as \code{c(seqnames(x), mseqnames(x))}. } \item{\code{length(x)}}{ Returns the length of \code{x}, i.e., the total number of sequences in it (single and multiple sequences). This is the same as \code{length(names(x))}. } \item{\code{x[[name]]}}{ Returns the sequence (single or multiple) in \code{x} named \code{name} (\code{name} must be a single string). No sequence is actually loaded into memory until this is explicitely requested with a call to \code{x[[name]]} or \code{x$name}. When loaded, a sequence is kept in a cache. It will be automatically removed from the cache at garbage collection if it's not in use anymore i.e. if there are no reference to it (other than the reference stored in the cache). With \code{options(verbose=TRUE)}, a message is printed each time a sequence is removed from the cache. } \item{\code{x$name}}{ Same as \code{x[[name]]} but \code{name} is not evaluated and therefore must be a literal character string or a name (possibly backtick quoted). } \item{\code{masknames(x)}}{ The names of the built-in masks that are defined for all the single sequences. There can be up to 4 built-in masks per sequence. These will always be (in this order): (1) the mask of assembly gaps, aka "the AGAPS mask"; (2) the mask of intra-contig ambiguities, aka "the AMB mask"; (3) the mask of repeat regions that were determined by the RepeatMasker software, aka "the RM mask"; (4) the mask of repeat regions that were determined by the Tandem Repeats Finder software (where only repeats with period less than or equal to 12 were kept), aka "the TRF mask". All the single sequences in a given package are guaranteed to have the same collection of built-in masks (same number of masks and in the same order). \code{masknames(x)} gives the names of the masks in this collection. Therefore the value returned by \code{masknames(x)} is a character vector made of the first N elements of \code{c("AGAPS", "AMB", "RM", "TRF")}, where N depends only on the BSgenome data package being looked at (0 <= N <= 4). The man page for most BSgenome data packages should provide the exact list and permanent URLs of the source data files that were used to extract the built-in masks. For example, if you've installed the BSgenome.Hsapiens.UCSC.hg19 package, load it and see the Note section in \code{?`\link[BSgenome.Hsapiens.UCSC.hg19]{BSgenome.Hsapiens.UCSC.hg19}`}. } } } \author{H. Pages} \seealso{ \code{\link{available.genomes}}, \link{GenomeDescription-class}, \link{BSgenome-utils}, \link[Biostrings]{DNAString-class}, \link[Biostrings]{DNAStringSet-class}, \link[Biostrings]{MaskedDNAString-class}, \code{\link{getSeq,BSgenome-method}}, \code{\link{injectSNPs}}, \link[XVector]{subseq,XVector-method}, \code{\link[base]{rm}}, \code{\link[base]{gc}} } \examples{ ## Loading a BSgenome data package doesn't load its sequences ## into memory: library(BSgenome.Celegans.UCSC.ce2) ## Number of sequences in this genome: length(Celegans) ## Display a summary of the sequences: Celegans ## Index of single sequences: seqnames(Celegans) ## Lengths (i.e. number of nucleotides) of the single sequences: seqlengths(Celegans) ## Load chromosome I from disk to memory (hence takes some time) ## and keep a reference to it: chrI <- Celegans[["chrI"]] # equivalent to Celegans$chrI chrI class(chrI) # a DNAString instance length(chrI) # with 15080483 nucleotides ## Single sequence can be renamed: seqnames(Celegans) <- sub("^chr", "", seqnames(Celegans)) seqlengths(Celegans) Celegans$I seqnames(Celegans) <- paste0("chr", seqnames(Celegans)) ## Multiple sequences: mseqnames(Celegans) upstream1000 <- Celegans$upstream1000 upstream1000 class(upstream1000) # a DNAStringSet instance ## Character vector containing the description lines of the first ## 4 sequences in the original FASTA file: names(upstream1000)[1:4] ## --------------------------------------------------------------------- ## PASS-BY-ADDRESS SEMANTIC, CACHING AND MEMORY USAGE ## --------------------------------------------------------------------- ## We want a message to be printed each time a sequence is removed ## from the cache: options(verbose=TRUE) gc() # nothing seems to be removed from the cache rm(chrI, upstream1000) gc() # chrI and upstream1000 are removed from the cache (they are # not in use anymore) options(verbose=FALSE) ## Get the current amount of data in memory (in Mb): mem0 <- gc()["Vcells", "(Mb)"] system.time(chrV <- Celegans[["chrV"]]) # read from disk gc()["Vcells", "(Mb)"] - mem0 # chrV occupies 20Mb in memory system.time(tmp <- Celegans[["chrV"]]) # much faster! (sequence # is in the cache) gc()["Vcells", "(Mb)"] - mem0 # we're still using 20Mb (sequences # have a pass-by-address semantic # i.e. the sequence data are not # duplicated) ## subseq() doesn't copy the sequence data either, hence it is very ## fast and memory efficient (but the returned object will hold a ## reference to chrV): y <- subseq(chrV, 10, 8000000) gc()["Vcells", "(Mb)"] - mem0 ## We must remove all references to chrV before it can be removed from ## the cache (so the 20Mb of memory used by this sequence are freed). options(verbose=TRUE) rm(chrV, tmp) gc() ## Remember that 'y' holds a reference to chrV too: rm(y) gc() options(verbose=FALSE) gc()["Vcells", "(Mb)"] - mem0 } \keyword{methods} \keyword{classes} BSgenome/man/BSgenome-utils.Rd0000644000126300012640000001306012227064177017543 0ustar00biocbuildphs_compbio\name{BSgenome-utils} \alias{BSgenome-utils} \alias{matchPWM,BSgenome-method} \alias{countPWM,BSgenome-method} \alias{vmatchPattern,BSgenome-method} \alias{vcountPattern,BSgenome-method} \alias{vmatchPDict,BSgenome-method} \alias{vcountPDict,BSgenome-method} \title{BSgenome utilities} \description{ Utilities for BSgenome objects. } \usage{ \S4method{matchPWM}{BSgenome}(pwm, subject, min.score = "80\%", exclude = "", maskList = logical(0), asRangedData = FALSE) \S4method{countPWM}{BSgenome}(pwm, subject, min.score = "80\%", exclude = "", maskList = logical(0)) \S4method{vmatchPattern}{BSgenome}(pattern, subject, max.mismatch = 0, min.mismatch = 0, with.indels = FALSE, fixed = TRUE, algorithm = "auto", exclude = "", maskList = logical(0), userMask = RangesList(), invertUserMask = FALSE, asRangedData = FALSE) \S4method{vcountPattern}{BSgenome}(pattern, subject, max.mismatch = 0, min.mismatch = 0, with.indels = FALSE, fixed = TRUE, algorithm = "auto", exclude = "", maskList = logical(0), userMask = RangesList(), invertUserMask = FALSE) \S4method{vmatchPDict}{BSgenome}(pdict, subject, max.mismatch = 0, min.mismatch = 0, fixed = TRUE, algorithm = "auto", verbose = FALSE, exclude = "", maskList = logical(0), asRangedData = FALSE) \S4method{vcountPDict}{BSgenome}(pdict, subject, max.mismatch = 0, min.mismatch = 0, fixed = TRUE, algorithm = "auto", collapse = FALSE, weight = 1L, verbose = FALSE, exclude = "", maskList = logical(0)) } \arguments{ \item{pwm}{ A numeric matrix with row names A, C, G and T representing a Position Weight Matrix. } \item{pattern}{ A \link[Biostrings]{DNAString} object containing the pattern sequence. } \item{pdict}{ A \link[Biostrings]{DNAStringSet} object containing the pattern sequences. } \item{subject}{ A \link{BSgenome} object containing the subject sequences. } \item{min.score}{ The minimum score for counting a match. Can be given as a character string containing a percentage (e.g. \code{"85\%"}) of the highest possible score or as a single number. } \item{max.mismatch, min.mismatch}{ The maximum and minimum number of mismatching letters allowed (see \code{?`\link[Biostrings]{lowlevel-matching}`} for the details). If non-zero, an inexact matching algorithm is used. } \item{with.indels}{ If \code{TRUE} then indels are allowed. In that case, \code{min.mismatch} must be \code{0} and \code{max.mismatch} is interpreted as the maximum "edit distance" allowed between any pattern and any of its matches (see \code{?`\link[Biostrings]{matchPattern}`} for the details). } \item{fixed}{ If \code{FALSE} then IUPAC extended letters are interpreted as ambiguities (see \code{?`\link[Biostrings]{lowlevel-matching}`} for the details). } \item{algorithm}{ For \code{vmatchPattern} and \code{vcountPattern} one of the following: \code{"auto"}, \code{"naive-exact"}, \code{"naive-inexact"}, \code{"boyer-moore"}, \code{"shift-or"}, or \code{"indels"}. For \code{vmatchPDict} and \code{vcountPDict} one of the following: \code{"auto"}, \code{"naive-exact"}, \code{"naive-inexact"}, \code{"boyer-moore"}, or \code{"shift-or"}. } \item{collapse, weight}{ ignored arguments. } \item{verbose}{ \code{TRUE} or \code{FALSE}. } \item{exclude}{ A character vector with strings that will be used to filter out chromosomes whose names match these strings. } \item{maskList}{ A named logical vector of maskStates preferred when used with a BSGenome object. When using the bsapply function, the masks will be set to the states in this vector. } \item{userMask}{ A \linkS4class{RangesList}, containing a mask to be applied to each chromosome. See \code{\link{bsapply}}. } \item{invertUserMask}{ Whether the \code{userMask} should be inverted. } \item{asRangedData}{ A logical value to assist in migrating output type from \link[IRanges]{RangedData} (defunct) to \link[GenomicRanges]{GRanges}. Should be \code{FALSE}. } } \value{ A \link[GenomicRanges]{GRanges} object for \code{matchPWM} with two elementMetadata columns: "score" (numeric), and "string" (DNAStringSet). A \link[GenomicRanges]{GRanges} object for \code{vmatchPattern}. A \link[GenomicRanges]{GRanges} object for \code{vmatchPDict} with one elementMetadata column: "index", which represents a mapping to a position in the original pattern dictionary. A data.frame object for \code{countPWM} and \code{vcountPattern} with three columns: "seqname" (factor), "strand" (factor), and "count" (integer). A \link[IRanges]{DataFrame} object for \code{vcountPDict} with four columns: "seqname" ('factor' Rle), "strand" ('factor' Rle), "index" (integer) and "count" ('integer' Rle). As with \code{vmatchPDict} the index column represents a mapping to a position in the original pattern dictionary. } \author{P. Aboyoun} \seealso{ \code{\link[Biostrings]{matchPWM}}, \code{\link[Biostrings]{matchPattern}}, \code{\link[Biostrings]{matchPDict}}, \code{\link{bsapply}} } \examples{ library(BSgenome.Celegans.UCSC.ce2) data(HNF4alpha) pwm <- PWM(HNF4alpha) matchPWM(pwm, Celegans) countPWM(pwm, Celegans) pattern <- consensusString(HNF4alpha) vmatchPattern(pattern, Celegans, fixed = "subject") vcountPattern(pattern, Celegans, fixed = "subject") vmatchPDict(HNF4alpha[1:10], Celegans) vcountPDict(HNF4alpha[1:10], Celegans) } \keyword{methods} \keyword{utilities} BSgenome/man/BSgenomeForge.Rd0000644000126300012640000001025012227064177017366 0ustar00biocbuildphs_compbio\name{BSgenomeForge} \alias{BSgenomeForge} \alias{BSgenomeDataPkgSeed} \alias{class:BSgenomeDataPkgSeed} \alias{BSgenomeDataPkgSeed-class} \alias{forgeBSgenomeDataPkg} \alias{forgeBSgenomeDataPkg,BSgenomeDataPkgSeed-method} \alias{forgeBSgenomeDataPkg,list-method} \alias{forgeBSgenomeDataPkg,character-method} \alias{forgeSeqlengthsFile} \alias{forgeSeqFiles} \alias{forgeMasksFiles} \title{The BSgenomeForge functions} \description{ A set of functions for making a BSgenome data package. } \usage{ ## Top-level BSgenomeForge function: forgeBSgenomeDataPkg(x, seqs_srcdir=".", masks_srcdir=".", destdir=".", verbose=TRUE) ## Low-level BSgenomeForge functions: forgeSeqlengthsFile(seqnames, prefix="", suffix=".fa", seqs_srcdir=".", seqs_destdir=".", verbose=TRUE) forgeSeqFiles(seqnames, mseqnames=NULL, prefix="", suffix=".fa", seqs_srcdir=".", seqs_destdir=".", verbose=TRUE) forgeMasksFiles(seqnames, nmask_per_seq, seqs_destdir=".", masks_srcdir=".", masks_destdir=".", AGAPSfiles_type="gap", AGAPSfiles_name=NA, AGAPSfiles_prefix="", AGAPSfiles_suffix="_gap.txt", RMfiles_name=NA, RMfiles_prefix="", RMfiles_suffix=".fa.out", TRFfiles_name=NA, TRFfiles_prefix="", TRFfiles_suffix=".bed", verbose=TRUE) } \arguments{ \item{x}{ A BSgenomeDataPkgSeed object or the name of a BSgenome data package seed file. See the BSgenomeForge vignette in this package for more information. } \item{seqs_srcdir, masks_srcdir}{ Single strings indicating the path to the source directories i.e. to the directories containing the source data files. Only read access to these directories is needed. See the BSgenomeForge vignette in this package for more information. } \item{destdir}{ A single string indicating the path to the directory where the source tree of the target package should be created. This directory must already exist. See the BSgenomeForge vignette in this package for more information. } \item{verbose}{ \code{TRUE} or \code{FALSE}. } \item{seqnames, mseqnames}{ A character vector containing the names of the single (for \code{seqnames}) and multiple (for \code{mseqnames}) sequences to forge. See the BSgenomeForge vignette in this package for more information. } \item{prefix, suffix}{ See the BSgenomeForge vignette in this package for more information, in particular the description of the \code{seqfiles_prefix} and \code{seqfiles_suffix} fields of a BSgenome data package seed file. } \item{seqs_destdir, masks_destdir}{ During the forging process the source data files are converted into serialized Biostrings objects. \code{seqs_destdir} and \code{masks_destdir} must be single strings indicating the path to the directories where these serialized objects should be saved. These directories must already exist. \code{forgeSeqlengthsFile} will produce a single .rda file. Both \code{forgeSeqFiles} and \code{forgeMasksFiles} will produce one .rda file per sequence. } \item{nmask_per_seq}{ A single integer indicating the desired number of masks per sequence. See the BSgenomeForge vignette in this package for more information. } \item{AGAPSfiles_type, AGAPSfiles_name, AGAPSfiles_prefix, AGAPSfiles_suffix, RMfiles_name, RMfiles_prefix, RMfiles_suffix, TRFfiles_name, TRFfiles_prefix, TRFfiles_suffix}{ These arguments are named accordingly to the corresponding fields of a BSgenome data package seed file. See the BSgenomeForge vignette in this package for more information. } } \details{ These functions are intended for Bioconductor users who want to make a new BSgenome data package, not for regular users of these packages. See the BSgenomeForge vignette in this package (\code{vignette("BSgenomeForge")}) for an extensive coverage of this topic. } \author{H. Pages} \examples{ forgeSeqFiles("chrM", prefix="ce2", suffix=".fa", seqs_srcdir=system.file("extdata", package="BSgenome"), seqs_destdir=tempdir()) load(file.path(tempdir(), "chrM.rda")) chrM } \keyword{manip} BSgenome/man/GenomeData-class.Rd0000644000126300012640000001055612227064177020024 0ustar00biocbuildphs_compbio\name{GenomeData-class} \docType{class} \alias{GenomeData-class} % Accessors: \alias{provider,GenomeData-method} \alias{organism,GenomeData-method} \alias{providerVersion,GenomeData-method} % Constructor: \alias{GenomeData} % Show: \alias{show,GenomeData-method} % Coercion: \alias{coerce,GenomeData,data.frame-method} \alias{coerce,GenomeData,RangesList-method} \alias{coerce,GenomeData,RangedData-method} \title{Data on the genome} \description{\code{GenomeData} formally represents genomic data as a list, with one element per chromosome in the genome.} \details{ This class facilitates storing data on the genome by formalizing a set of metadata fields for storing the organism (e.g. Mmusculus), genome build provider (e.g. UCSC), and genome build version (e.g. mm9). The data is represented as a list, with one element per chromosome (or really any sequence, like a gene). There are no constraints as to the data type of the elements. Note that as a \code{\linkS4class{SimpleList}}, it is possible to store chromosome-level data (e.g. the lengths) in the \code{elementMetadata} slot. The \code{organism}, \code{provider} and \code{providerVersion} are all stored in the \code{SimpleList} \code{metadata}, so they may be retrieved in list form by calling \code{metadata(x)}. } \section{Accessor methods}{ In the code snippets below, \code{x} is a \code{GenomeData} object. \describe{ \item{}{\code{organism(x)}: Get the single string indicating the organism, if specified, otherwise \code{NULL}. } \item{}{\code{provider(x)}: Get the single string indicating the genome build provider, if specified, otherwise \code{NULL}. } \item{}{\code{providerVersion(x)}: Get the single string indicating the genome build version, if specified, otherwise \code{NULL}. } } } \section{Constructor}{ \describe{ \item{}{ \code{GenomeData(listData = list(), providerVersion = metadata[["providerVersion"]], organism = metadata[["organism"]], provider = metadata[["provider"]], metadata = list(), elementMetadata = NULL, ...)}: Creates a \code{GenomeData} with the elements from the \code{listData} parameter, a list. The other arguments correspond to the metadata fields, and, with the exception of \code{elementMetadata}, should all be either single strings or \code{NULL} (unspecified). Additional global metadata elements may be passed in \code{metadata}, in list-form, and via \code{...}. The elements in \code{metadata} are always overridden by the explicit arguments, like \code{organism} and those in \code{...}. \code{elementMetadata} should be an \code{\linkS4class{DataTable}} or \code{NULL}. } } } \section{Coercion}{ \describe{ \item{}{\code{as(from, "data.frame")}: Coerces each subelement to a data frame, and binds them into a single data frame with an additional column indicating chromosome } \item{}{\code{as(from, "RangesList")}: Coerces each subelement to a \code{\linkS4class{Ranges}} and combines them into a \code{\linkS4class{RangesList}} with the same names. The \dQuote{universe} metadata property is set to the \code{providerVersion} of \code{from}. } \item{}{\code{as(from, "RangedData")}: Coerces each subelement to a \code{\linkS4class{RangedData}} and combines them into a single \code{RangedData} with the same names. The \dQuote{universe} metadata property is set to the \code{providerVersion} of \code{from}. } } } \author{ Michael Lawrence } \seealso{ \link{GenomeDataList-class}, a container for storing a list of GenomeData objects and useful e.g. for storing data on multiple samples. \link{SimpleList-class}, the base of this class. \code{\link{gdapply}} for applying a function to elements of a GenomeData object. \code{\link{gdReduce}} for successively combining GenomeData objects into a single GenomeData objects. } \examples{ gd <- GenomeData(list(chr1 = IRanges(1, 10), chrX = IRanges(2, 5)), organism = "Mmusculus", provider = "UCSC", providerVersion = "mm9") organism(gd) providerVersion(gd) provider(gd) gd[["chr1"]] # get data for chromsome 1 } \keyword{methods} \keyword{classes} BSgenome/man/GenomeDataList-class.Rd0000644000126300012640000000361012227064177020651 0ustar00biocbuildphs_compbio\name{GenomeDataList-class} \docType{class} \alias{GenomeDataList-class} % Constructor: \alias{GenomeDataList} % Coercion: \alias{coerce,GenomeDataList,data.frame-method} \title{List of GenomeData objects} \description{\code{GenomeDataList} is a list of \code{\linkS4class{GenomeData}} objects. It could be useful for storing data on multiple experiments or samples.} \details{ This class inherits from \code{\linkS4class{SimpleList}} and requires that all of its elements to be instances of \code{GenomeData}. One should try to take advantage of the metadata storage facilities provided by \code{SimpleList}. The \code{elementMetadata} field, for example, could be used to store the experimental design, while the \code{metadata} field could store the experimental platform. } \section{Constructor}{ \describe{ \item{}{ \code{GenomeDataList(listData = list(), metadata = list(), elementMetadata = NULL)}: Creates a \code{GenomeDataList} with the elements from the \code{listData} parameter, a list of \code{GenomeData} instances. The other arguments correspond to the optional metadata stored in \code{\linkS4class{SimpleList}}. } } } \section{Coercion}{ \describe{ \item{}{\code{as(from, "data.frame")}: Coerces each subelement to a data frame, and binds them into a single data frame with an additional column indicating chromosome } } } \author{ Michael Lawrence } \seealso{ \linkS4class{GenomeData}, the type of elements stored in this class. \linkS4class{SimpleList} } \examples{ gd <- GenomeData(list(chr1 = IRanges(1, 10), chrX = IRanges(2, 5)), organism = "Mmusculus", provider = "UCSC", providerVersion = "mm9") gdl <- GenomeDataList(list(gd), elementMetadata = DataFrame(induced = TRUE)) gdl[[1]] # get first element } \keyword{methods} \keyword{classes} BSgenome/man/GenomeDescription-class.Rd0000644000126300012640000001045412227064177021433 0ustar00biocbuildphs_compbio\name{GenomeDescription-class} \docType{class} % Classes \alias{class:GenomeDescription} \alias{GenomeDescription-class} \alias{GenomeDescription} % Accessor methods: \alias{organism} \alias{organism,GenomeDescription-method} \alias{species} \alias{species,GenomeDescription-method} \alias{provider} \alias{provider,GenomeDescription-method} \alias{providerVersion} \alias{providerVersion,GenomeDescription-method} \alias{releaseDate} \alias{releaseDate,GenomeDescription-method} \alias{releaseName} \alias{releaseName,GenomeDescription-method} \alias{bsgenomeName} \alias{bsgenomeName,GenomeDescription-method} \alias{seqinfo,GenomeDescription-method} % Standard generic methods: \alias{show,GenomeDescription-method} \title{GenomeDescription objects} \description{ A GenomeDescription object holds the meta information describing a given genome. } \details{ In general the user will not need to manipulate directly a GenomeDescription instance but will manipulate instead a higher-level object that belongs to a class containing the GenomeDescription class. For example the top-level object defined in any BSgenome data package is a \link{BSgenome} object. But because the \link{BSgenome} class contains the GenomeDescription class, it is also a GenomeDescription object and can therefore be treated as such. In other words all the methods described below will work on it. } \section{Accessor methods}{ In the code snippets below, \code{x} is a GenomeDescription object. \describe{ \item{}{ \code{organism(x)}: Return the target organism for this genome e.g. \code{"Homo sapiens"}, \code{"Mus musculus"}, \code{"Caenorhabditis elegans"}, etc... } \item{}{ \code{species(x)}: Return the target species for this genome e.g. \code{"Human"}, \code{"Mouse"}, \code{"Worm"}, etc... } \item{}{ \code{provider(x)}: Return the provider of this genome e.g. \code{"UCSC"}, \code{"BDGP"}, \code{"FlyBase"}, etc... } \item{}{ \code{providerVersion(x)}: Return the provider-side version of this genome. For example UCSC uses versions \code{"hg18"}, \code{"hg17"}, etc... for the different Builds of the Human genome. } \item{}{ \code{releaseDate(x)}: Return the release date of this genome e.g. \code{"Mar. 2006"}. } \item{}{ \code{releaseName(x)}: Return the release name of this genome, which is generally made of the name of the organization who assembled it plus its Build version. For example, UCSC uses \code{"hg18"} for the version of the Human genome corresponding to the Build 36.1 from NCBI hence the release name for this genome is \code{"NCBI Build 36.1"}. } \item{}{ \code{bsgenomeName(x)}: Uses the meta information stored in \code{x} to make the name of the corresponding BSgenome data package (see \link{available.genomes} for details about the naming scheme used for those packages). Of course there is no guarantee that a package with that name actually exists. } \item{\code{seqinfo(x)}}{ Gets information about the genome sequences. This information is returned in a \link[GenomicRanges]{Seqinfo} object. Each part of the information can be retrieved separately with \code{seqnames(x)}, \code{seqlengths(x)}, and \code{isCircular(x)}, respectively, as described below. } \item{\code{seqnames(x)}}{ Gets the names of the genome sequences. \code{seqnames(x)} is equivalent to \code{seqnames(seqinfo(x))}. } \item{\code{seqlengths(x)}}{ Gets the lengths of the genome sequences. \code{seqlengths(x)} is equivalent to \code{seqlengths(seqinfo(x))}. } \item{\code{isCircular(x)}}{ Returns the circularity flags of the genome sequences. \code{isCircular(x)} is equivalent to \code{isCircular(seqinfo(x))}. } } } \author{H. Pages} \seealso{ \code{\link{available.genomes}}, \link[GenomicRanges]{Seqinfo-class}, \link{BSgenome-class} } \examples{ library(BSgenome.Celegans.UCSC.ce2) class(Celegans) is(Celegans, "GenomeDescription") provider(Celegans) seqinfo(Celegans) gendesc <- as(Celegans, "GenomeDescription") class(gendesc) gendesc provider(gendesc) seqinfo(gendesc) bsgenomeName(gendesc) } \keyword{methods} \keyword{classes} BSgenome/man/available.genomes.Rd0000644000126300012640000000455512227064177020273 0ustar00biocbuildphs_compbio\name{available.genomes} \alias{available.genomes} \alias{installed.genomes} \title{Find available/installed genomes} \description{ \code{available.genomes} gets the list of BSgenome data packages that are currently available on the Bioconductor repositories for your version of R/Bioconductor. \code{installed.genomes} gets the list of BSgenome data packages that are already installed on your machine. } \usage{ available.genomes(splitNameParts=FALSE, type=getOption("pkgType")) installed.genomes(splitNameParts=FALSE) } \arguments{ \item{splitNameParts}{ Whether to split or not the package names in parts. In that case the result is returned in a data frame. } \item{type}{ Character string indicating the type of package (\code{"source"}, \code{"mac.binary"} or \code{"win.binary"}) to look for. } } \details{ A BSgenome data package contains the full genome for a given organism. Its name has 4 parts separated by a dot (e.g. BSgenome.Celegans.UCSC.ce2). The 1st part is always BSgenome, the 2nd part is the name of the organism (abbreviated), the 3rd part is the name of the organisation who assembled the genome and the 4th part is the release string or number used by this organisation for this genome. A BSgenome data package contains a single top-level object (a \link[BSgenome:BSgenome-class]{BSgenome} object) named like the second part of the package name (e.g. Celegans in the case of BSgenome.Celegans.UCSC.ce2) where all the sequences for this genome are stored. } \value{ A character vector containing the names of the BSgenome data packages that are currently available (for \code{available.genomes}), or already installed (for \code{installed.genomes}). } \author{H. Pages} \seealso{ \link{BSgenome-class}, \code{\link[utils:update.packages]{available.packages}} } \examples{ # What genomes are already installed: installed.genomes() # What genomes are available: available.genomes() # Split the package names in parts: ag <- available.genomes(TRUE) table(ag$organism) table(ag$provider) # Make your choice and install with: source("http://bioconductor.org/biocLite.R") biocLite("BSgenome.Scerevisiae.UCSC.sacCer1") # Have a coffee ;-) # Load the package and display the index of sequences for this genome: library(BSgenome.Scerevisiae.UCSC.sacCer1) Scerevisiae } \keyword{manip} BSgenome/man/bsapply.Rd0000644000126300012640000000526312227064177016366 0ustar00biocbuildphs_compbio\name{bsapply} \alias{bsapply} \title{bsapply} \description{ Apply a function to each chromosome in a genome. } \usage{ bsapply(BSParams, ...) } \arguments{ \item{BSParams}{ a BSParams object that holds the various parameters needed to configure the bsapply function } \item{...}{ optional arguments to 'FUN'. } } \details{ By default the exclude parameter is set to not exclude anything. A popular option will probably be to set this to "rand" so that random bits of unassigned contigs are filtered out. } \value{ If \code{BSParams} sets \code{simplify = FALSE}, a GenomeData object is returned containing the results generated using the remaining BSParams specifications. If \code{BSParams} sets \code{simplify = TRUE}, an \code{sapply}-like simplification is used on the results. } \author{Marc Carlson} \seealso{ \link{BSParams-class}, \link{BSgenome-class}, \link{BSgenome-utils}, \link{GenomeData-class} } \examples{ ## Load the Worm genome: library("BSgenome.Celegans.UCSC.ce2") ## Count the alphabet frequencies for every chromosome but exclude ## mitochrondrial ones: params <- new("BSParams", X = Celegans, FUN = alphabetFrequency, exclude = "M") bsapply(params) ## Or we can do this same function with simplify = TRUE: params <- new("BSParams", X = Celegans, FUN = alphabetFrequency, exclude = "M", simplify = TRUE) bsapply(params) ## Examples to show how we might look for a string (in this case an ## ebox motif) across the whole genome. Ebox <- DNAStringSet("CACGTG") pdict0 <- PDict(Ebox) params <- new("BSParams", X = Celegans, FUN = countPDict, simplify = TRUE) bsapply(params, pdict = pdict0) params@FUN <- matchPDict bsapply(params, pdict = pdict0) ## And since its really overkill to use matchPDict to find a single pattern: params@FUN <- matchPattern bsapply(params, pattern = "CACGTG") ## Examples on how to use the masks library("BSgenome.Hsapiens.UCSC.hg19") ## I can make things verbose if I want to see the chromosomes getting processed. options(verbose=TRUE) ## For the 1st example, lets use default masks params <- new("BSParams", X = Hsapiens, FUN = alphabetFrequency, exclude = c(1:8,"M","X","random","hap"), simplify = TRUE) bsapply(params) if (interactive()) { ## Set up the motifList to filter out all double T's and all double C's params@motifList <-c("TT","CC") bsapply(params) ## Get rid of the motifList params@motifList=as.character() } ##Enable all standard masks params@maskList <- c("RM"=TRUE,"TRF"=TRUE) bsapply(params) ##Disable all standard masks params@maskList <- c("AGAPS"=FALSE,"AMB"=FALSE) bsapply(params) } \keyword{manip} BSgenome/man/gdReduce.Rd0000644000126300012640000000644512227064177016441 0ustar00biocbuildphs_compbio\name{gdReduce} \Rdversion{1.1} \alias{gdReduce} \alias{gdReduce,GenomeData-method} \alias{gdReduce,GenomeDataList-method} % Deprecated \alias{gdreduce} \title{ Reduces arguments to a single GenomeData instance } \description{ This function accepts one or more objects that are reduced, with a user-specified function, to a single \code{\linkS4class{GenomeData}} instance. } \usage{ gdReduce(f, ..., init, right = FALSE, accumulate = FALSE, gdArgs = list()) } \arguments{ \item{f}{ An object of class \code{"function"}, accepting two instances of classes appropriate for the \code{...} arguments, and returning an object suitable for subsequent use in \code{f} and incorporation into \code{GenomeData}. } \item{\dots}{ Objects to be reduced. All objects should be of the same class, as dictated by methods defined on \code{gdReduce} A function to be applied to each chromosome-level sub-element of \code{X}. } \item{init}{ An R object of the same kind as the elements of \dots. } \item{right}{ A logical indicating whether to proceed from left to right (default) or right to left. } \item{accumulate}{ A logical indicating whether the successive reduce combinations should be accumulated. By default, only the final combination is used.} \item{gdArgs}{ Additional arguments passed to the \code{\linkS4class{GenomeData}} constructor used to assemble the final object. } } \details{ The \code{gdReduce} method for \link{GenomeData} objects successively combines \link{GenomeData} elements of \code{...} using \code{f}; all arguments assigned to \code{...} must be of class \link{GenomeData}. \code{f} is a function accepting two objects returned by \code{"[["} applied to the successive elements of \code{...}, returning a single \link{GenomeData} object to be used in subsequent calls to \code{f}. \code{init}, \code{right}, and \code{accumulate} are as described for \code{\link{Reduce}}. \code{gdArgs} can be used to provide metadata information to the constructor used to create the final \link{GenomeData} object. Currently the \code{gdReduce} method for \link{GenomeDataList} objects works when a single \link{GenomeDataList} object \code{x} is provided as \code{...} and it does \code{gdReduce(f, x[[1]], x[[2]] ... x[[N]], init, right, accumulate, gdArgs)} where \code{N} is the length of \code{x} i.e. the number of \link{GenomeData} objects in it. } \value{ An object of class \code{GenomeData}, containing elements corresponding to the intersection of all named elements of \code{\dots} (in the case of the method for \link{GenomeData} objects) or all elements in the single \link{GenomeDataList} object passed to it (in the case of the method for \link{GenomeDataList} objects). } \author{ Martin Morgan } \seealso{ \code{\link{Reduce}}, \link{GenomeData-class}, \link{GenomeDataList-class} } \examples{ gdReduce showMethods("gdReduce") gd <- GenomeData(list(chr1 = IRanges(1, 10), chrX = IRanges(2, 5)), organism = "Mmusculus", provider = "UCSC", providerVersion = "mm9") gdr <- gdReduce(function(x, y) { ## "[[" returns IRanges instances, construct a synthetic version IRanges(c(start(x), start(y)), c(end(x), end(y))) }, GenomeDataList(list(gd, gd[2]))) gdr[["chr1"]] gdr[["chrX"]] } \keyword{manip} BSgenome/man/gdapply.Rd0000644000126300012640000000151012227064177016343 0ustar00biocbuildphs_compbio\name{gdapply} \Rdversion{1.1} \alias{gdapply} \alias{gdapply,GenomeData,function-method} \alias{gdapply,GenomeDataList,function-method} % Defunct: \alias{gdApply} \title{ Applies a function to elements of a GenomeData } \description{ Returns a list of values obtained by applying a function to elements of a \link{GenomeData} or \link{GenomeDataList} object. } \usage{ gdapply(X, FUN, ...) } \arguments{ \item{X}{ An object of class \link{GenomeData} or \link{GenomeDataList}. } \item{FUN}{ A function to be applied to each chromosome-level sub-element of \code{X}. } \item{\dots}{ Further arguments; passed to \code{FUN} } } \value{ Typically an object of the same class as \code{X}. } \author{ Deepayan Sarkar } \seealso{ \link{GenomeData-class}, \link{GenomeDataList-class} } \keyword{manip} BSgenome/man/getSeq-methods.Rd0000644000126300012640000003104112227064177017576 0ustar00biocbuildphs_compbio\name{getSeq-methods} \alias{getSeq,BSgenome-method} \title{getSeq method for BSgenome objects} \description{ A \code{\link[Biostrings]{getSeq}} method for extracting a set of sequences (or subsequences) from a \link{BSgenome} object. } \usage{ \S4method{getSeq}{BSgenome}(x, names, start=NA, end=NA, width=NA, strand="+", as.character=FALSE) } \arguments{ \item{x}{ A \link{BSgenome} object. See the \code{\link{available.genomes}} function for how to install a genome. } \item{names}{ A character vector containing the names of the sequences in \code{x} where to get the subsequences from, or a \link[GenomicRanges]{GRanges} object, or a \link[GenomicRanges]{GRangesList} object, or a \link[IRanges]{RangedData} object, or a named \link[IRanges]{RangesList} object, or a named \link[IRanges]{Ranges} object. The \link[IRanges]{RangesList} or \link[IRanges]{Ranges} object must be named according to the sequences in \code{x} where to get the subsequences from. If \code{names} is missing, then \code{seqnames(x)} is used. See \code{?`\link{BSgenome-class}`} for details on how to get the lists of single sequences and multiple sequences (respectively) contained in a \link{BSgenome} object. } \item{start, end, width}{ Vector of integers (eventually with NAs) specifying the locations of the subsequences to extract. These are not needed (and it's an error to supply them) when \code{names} is a \link[GenomicRanges]{GRanges}, \link[GenomicRanges]{GRangesList}, \link[IRanges]{RangedData}, \link[IRanges]{RangesList} or \link[IRanges]{Ranges} object. } \item{strand}{ A vector containing \code{"+"}s or/and \code{"-"}s. This is not needed (and it's an error to supply it) when \code{names} is a \link[GenomicRanges]{GRanges} or \link[GenomicRanges]{GRangesList} object, or a \link[IRanges]{RangedData} object with a strand column. } \item{as.character}{ \code{TRUE} or \code{FALSE}. Should the extracted sequences be returned in a standard character vector? } \item{...}{Additional arguments. (Currently ignored.)} } \details{ L, the number of sequences to extract, is determined as follow: \itemize{ \item If \code{names} is a \link[GenomicRanges]{GRanges} or \link[IRanges]{Ranges} object then L = \code{length(names)}. \item If \code{names} is a \link[IRanges]{RangedData} object then L = \code{nrow(names)}. \item If \code{names} is a \link[GenomicRanges]{GRangesList} or \link[IRanges]{RangesList} object then L = \code{length(unlist(names))}. \item Otherwise, L is the length of the longest of \code{names}, \code{start}, \code{end} and \code{width} and all these arguments are recycled to this length. \code{NA}s and negative values in these 3 arguments are solved according to the rules of the SEW (Start/End/Width) interface (see \code{?\link[IRanges]{solveUserSEW}} for the details). } If \code{names} is neither a \link[GenomicRanges]{GRanges} or \link[GenomicRanges]{GRangesList} object, or a \link[IRanges]{RangedData} object with a strand column, then the \code{strand} argument is also recycled to length L. Here is how the names passed to the \code{names} argument are matched to the names of the sequences in \link{BSgenome} object \code{x}. For each \code{name} in \code{names}: \itemize{ \item (1): If \code{x} contains a single sequence with that name then this sequence is used for extraction; \item (2): Otherwise the names of all the elements in all the multiple sequences are searched. If the \code{names} argument is a character vector then \code{name} is treated as a regular expression and \code{\link[base]{grep}} is used for this search, otherwise (i.e. when the names are supplied via a higher level object like \link[GenomicRanges]{GRanges} or \link[GenomicRanges]{GRangesList}) then \code{name} must match exactly the name of the sequence. If exactly 1 sequence is found, then it is used for extraction, otherwise (i.e. if no sequence or more than 1 sequence is found) then an error is raised. } } \value{ Normally a \link[Biostrings]{DNAStringSet} object (or character vector if \code{as.character=TRUE}). With the 2 following exceptions: \enumerate{ \item A \link[Biostrings]{DNAStringSetList} object (or \link[IRanges]{CharacterList} object if \code{as.character=TRUE}) of the same shape as \code{names} if \code{names} is a \link[GenomicRanges]{GRangesList} object. \item A \link[Biostrings]{DNAString} object (or single character string if \code{as.character=TRUE}) if L = 1 and \code{names} is not a \link[GenomicRanges]{GRanges}, \link[GenomicRanges]{GRangesList}, \link[IRanges]{RangedData}, \link[IRanges]{RangesList}, or \link[IRanges]{Ranges} object. } } \note{ Be aware that using \code{as.character=TRUE} can be very inefficient when extracting a "big" amount of DNA sequences (e.g. millions of short sequences or a small number of very long sequences). Note that the masks in \code{x}, if any, are always ignored. In other words, masked regions in the genome are extracted in the same way as unmasked regions (this is achieved by dropping the masks before extraction). See \code{?`\link[Biostrings]{MaskedDNAString-class}`} for more information about masked DNA sequences. } \author{H. Pages; improvements suggested by Matt Settles and others} \seealso{ \code{\link[Biostrings]{getSeq}}, \code{\link{available.genomes}}, \link{BSgenome-class}, \link[Biostrings]{DNAString-class}, \link[Biostrings]{DNAStringSet-class}, \link[Biostrings]{MaskedDNAString-class}, \link[GenomicRanges]{GRanges-class}, \link[GenomicRanges]{GRangesList-class}, \link[IRanges]{RangedData-class}, \link[IRanges]{RangesList-class}, \link[IRanges]{Ranges-class}, \code{\link[base]{grep}} } \examples{ ## --------------------------------------------------------------------- ## A. SIMPLE EXAMPLES ## --------------------------------------------------------------------- ## Load the Caenorhabditis elegans genome (UCSC Release ce2): library(BSgenome.Celegans.UCSC.ce2) ## Look at the index of sequences: Celegans ## Get chromosome V as a DNAString object: getSeq(Celegans, "chrV") ## which is in fact the same as doing: Celegans$chrV \dontrun{ ## Never try this: getSeq(Celegans, "chrV", as.character=TRUE) ## or this (even worse): getSeq(Celegans, as.character=TRUE) } ## Get the first 20 bases of each chromosome: getSeq(Celegans, end=20) ## Get the last 20 bases of each chromosome: getSeq(Celegans, start=-20) ## Get the "NM_058280_up_1000" sequence (belongs to the upstream1000 ## multiple sequence) as a DNAString object: s1 <- getSeq(Celegans, "NM_058280_up_1000") stopifnot(identical(getSeq(Celegans, "NM_058280_up_5000", start=-1000), s1)) \dontrun{ ## Fails because there is more than one sequence across ## Celegans$upstream1000, Celegans$upstream2000 and Celegans$upstream5000 ## with "NM_058280" in its name: getSeq(Celegans, "NM_058280") ## Fails because there is no sequence named exactly "NM_058280": getSeq(Celegans, "^NM_058280$") } ## --------------------------------------------------------------------- ## B. EXTRACTING SMALL SEQUENCES FROM DIFFERENT CHROMOSOMES ## --------------------------------------------------------------------- myseqs <- data.frame( chr=c("chrI", "chrX", "chrM", "chrM", "chrX", "chrI", "chrM", "chrI"), start=c(NA, -40, 8510, 301, 30001, 9220500, -2804, -30), end=c(50, NA, 8522, 324, 30011, 9220555, -2801, -11), strand=c("+", "-", "+", "+", "-", "-", "+", "-") ) getSeq(Celegans, myseqs$chr, start=myseqs$start, end=myseqs$end) getSeq(Celegans, myseqs$chr, start=myseqs$start, end=myseqs$end, strand=myseqs$strand) ## --------------------------------------------------------------------- ## C. USING A GRanges OBJECT ## --------------------------------------------------------------------- gr1 <- GRanges(seqnames=c("chrI", "chrI", "chrM"), ranges=IRanges(start=101:103, width=9)) gr1 # all strand values are "*" getSeq(Celegans, gr1) # treats strand values as if they were "+" strand(gr1)[] <- "-" getSeq(Celegans, gr1) strand(gr1)[1] <- "+" getSeq(Celegans, gr1) strand(gr1)[2] <- "*" if (interactive()) getSeq(Celegans, gr1) # Error: cannot mix "*" with other strand values gr2 <- GRanges(seqnames=c("chrM", "NM_058280_up_1000"), ranges=IRanges(start=103:102, width=9)) gr2 if (interactive()) { ## Because the sequence names are supplied via a GRanges object, they ## are not treated as regular expressions: getSeq(Celegans, gr2) # Error: sequence NM_058280_up_1000 not found } ## --------------------------------------------------------------------- ## D. USING A GRangesList OBJECT ## --------------------------------------------------------------------- gr1 <- GRanges(seqnames=c("chrI", "chrII", "chrM", "chrII"), ranges=IRanges(start=101:104, width=12), strand="+") gr2 <- shift(gr1, 5) gr3 <- gr2 strand(gr3) <- "-" grl <- GRangesList(gr1, gr2, gr3) getSeq(Celegans, grl) ## --------------------------------------------------------------------- ## E. EXTRACTING A HIGH NUMBER OF RANDOM 40-MERS FROM A GENOME ## --------------------------------------------------------------------- extractRandomReads <- function(x, density, readlength) { if (!is.integer(readlength)) readlength <- as.integer(readlength) start <- lapply(seqnames(x), function(name) { seqlength <- seqlengths(x)[name] sample(seqlength - readlength + 1L, seqlength * density, replace=TRUE) }) names <- rep.int(seqnames(x), elementLengths(start)) ranges <- IRanges(start=unlist(start), width=readlength) strand <- strand(sample(c("+", "-"), length(names), replace=TRUE)) gr <- GRanges(seqnames=names, ranges=ranges, strand=strand) getSeq(x, gr) } ## With a density of 1 read every 100 genome bases, the total number of ## extracted 40-mers is about 1 million: rndreads <- extractRandomReads(Celegans, 0.01, 40) ## Notes: ## - The short sequences in 'rndreads' can be seen as the result of a ## simulated high-throughput sequencing experiment. A non-realistic ## one though because: ## (a) It assumes that the underlying technology is perfect (the ## generated reads have no technology induced errors). ## (b) It assumes that the sequenced genome is exactly the same as ## the reference genome. ## (c) The simulated reads can contain IUPAC ambiguity letters only ## because the reference genome contains them. In a real ## high-throughput sequencing experiment, the sequenced genome ## of course doesn't contain those letters, but the sequencer ## can introduce them in the generated reads to indicate ## ambiguous base-calling. ## - Those reads are coming from the plus and minus strands of the ## chromosomes. ## - With a density of 0.01 and the reads being only 40-base long, the ## average coverage of the genome is only 0.4 which is low. The total ## number of reads is about 1 million and it takes less than 10 sec. ## to generate them. ## - A higher coverage can be achieved by using a higher density and/or ## longer reads. For example, with a density of 0.1 and 100-base reads ## the average coverage is 10. The total number of reads is about 10 ## millions and it takes less than 1 minute to generate them. ## - Those reads could easily be mapped back to the reference by using ## an efficient matching tool like matchPDict() for performing exact ## matching (see ?matchPDict for more information). Typically, a ## small percentage of the reads (4 to 5\% in our case) will hit the ## reference at multiple locations. This is especially true for such ## short reads, and, in a lower proportion, is still true for longer ## reads, even for reads as long as 300 bases. ## --------------------------------------------------------------------- ## F. SEE THE BSgenome CACHE IN ACTION ## --------------------------------------------------------------------- options(verbose=TRUE) first20 <- getSeq(Celegans, end=20) first20 gc() stopifnot(length(ls(Celegans@.seqs_cache)) == 0L) ## One more gc() call is needed in order to see the amount of memory in ## used after all the chromosomes have been removed from the cache: gc() } \keyword{manip} BSgenome/man/injectSNPs.Rd0000644000126300012640000001077112227064177016734 0ustar00biocbuildphs_compbio\name{injectSNPs} \alias{class:InjectSNPsHandler} \alias{InjectSNPsHandler-class} \alias{InjectSNPsHandler} \alias{injectSNPs} \alias{injectSNPs,BSgenome-method} \alias{SNPlocs_pkgname} \alias{SNPlocs_pkgname,InjectSNPsHandler-method} \alias{SNPlocs_pkgname,BSgenome-method} \alias{SNPcount} \alias{SNPcount,InjectSNPsHandler-method} \alias{SNPcount,BSgenome-method} \alias{SNPlocs} \alias{SNPlocs,InjectSNPsHandler-method} \alias{SNPlocs,BSgenome-method} \alias{available.SNPs} \alias{installed.SNPs} \title{SNP injection} \description{ Inject SNPs from a SNPlocs data package into a genome. } \usage{ injectSNPs(x, SNPlocs_pkgname) SNPlocs_pkgname(x) SNPcount(x) SNPlocs(x, seqname) ## Related utilities available.SNPs(type=getOption("pkgType")) installed.SNPs() } \arguments{ \item{x}{ A \link[BSgenome:BSgenome-class]{BSgenome} object. } \item{SNPlocs_pkgname}{ The name of a SNPlocs data package containing SNP information for the single sequences contained in \code{x}. This package must be already installed (\code{injectSNPs} won't try to install it). } \item{seqname}{ The name of a single sequence in \code{x}. } \item{type}{ Character string indicating the type of package (\code{"source"}, \code{"mac.binary"} or \code{"win.binary"}) to look for. } } \value{ \code{injectSNPs} returns a copy of the original genome \code{x} where some or all of the single sequences were altered by injecting the SNPs defined in the SNPlocs data package specified thru the \code{SNPlocs_pkgname} argument. The SNPs in the altered genome are represented by an IUPAC ambiguity code at each SNP location. \code{SNPlocs_pkgname}, \code{SNPcount} and \code{SNPlocs} return \code{NULL} if no SNPs were injected in \code{x} (i.e. if \code{x} is not a \link[BSgenome:BSgenome-class]{BSgenome} object returned by a previous call to \code{injectSNPs}). Otherwise \code{SNPlocs_pkgname} returns the name of the package from which the SNPs were injected, \code{SNPcount} the number of SNPs for each altered sequence in \code{x}, and \code{SNPlocs} their locations in the sequence whose name is specified by \code{seqname}. \code{available.SNPs} returns a character vector containing the names of the SNPlocs data packages that are currently available on the Bioconductor repositories for your version of R/Bioconductor. A SNPlocs data package contains basic SNP information (location and alleles) for a given organism. \code{installed.SNPs} returns a character vector containing the names of the SNPlocs data packages that are already installed. } \note{ \code{injectSNPs}, \code{SNPlocs_pkgname}, \code{SNPcount} and \code{SNPlocs} have the side effect to try to load the SNPlocs data package if it's not already loaded. } \author{H. Pages} \seealso{ \link{BSgenome-class}, \code{\link[Biostrings]{IUPAC_CODE_MAP}}, \code{\link[Biostrings]{injectHardMask}}, \code{\link[Biostrings]{letterFrequencyInSlidingView}}, \code{\link[Biostrings]{.inplaceReplaceLetterAt}} } \examples{ ## What SNPlocs data packages are already installed: installed.SNPs() ## What SNPlocs data packages are available: available.SNPs() if (interactive()) { ## Make your choice and install with: source("http://bioconductor.org/biocLite.R") biocLite("SNPlocs.Hsapiens.dbSNP.20100427") } ## Inject SNPs from dbSNP into the Human genome: library(BSgenome.Hsapiens.UCSC.hg19) Hsapiens SNPlocs_pkgname(Hsapiens) SNP_Hsapiens <- injectSNPs(Hsapiens, "SNPlocs.Hsapiens.dbSNP.20100427") SNP_Hsapiens # note the extra "with SNPs injected from ..." line SNPlocs_pkgname(SNP_Hsapiens) SNPcount(SNP_Hsapiens) head(SNPlocs(SNP_Hsapiens, "chr1")) alphabetFrequency(Hsapiens$chr1) alphabetFrequency(SNP_Hsapiens$chr1) ## Find runs of SNPs of length at least 25 in chr1. Might require ## more memory than some platforms can handle (e.g. 32-bit Windows ## and maybe some Mac OS X machines with little memory): is_32bit_windows <- .Platform$OS.type == "windows" && .Platform$r_arch == "i386" is_macosx <- substr(R.version$os, start=1, stop=6) == "darwin" if (!is_32bit_windows && !is_macosx) { chr1 <- injectHardMask(SNP_Hsapiens$chr1) ambiguous_letters <- paste(DNA_ALPHABET[5:15], collapse="") lf <- letterFrequencyInSlidingView(chr1, 25, ambiguous_letters) sl <- slice(as.integer(lf), lower=25) v1 <- Views(chr1, start(sl), end(sl)+24) v1 max(width(v1)) # length of longest SNP run } } \keyword{manip} BSgenome/tests/0000755000126300012640000000000012227064177015006 5ustar00biocbuildphs_compbioBSgenome/tests/unit/0000755000126300012640000000000012227133625015760 5ustar00biocbuildphs_compbio