diff options
64 files changed, 560 insertions, 327 deletions
diff --git a/INSTALL.md b/INSTALL.md index c4ccf743f..2db0bf20a 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -32,7 +32,7 @@ mkdir pandoc-extract cd pandoc-extract - xar -x ../pandoc-2.0-macOS.pkg + xar -x -f ../pandoc-2.0-macOS.pkg cat pandoc.pkg/Payload | gunzip -dc | cpio -i # executables are now in ./usr/bin/, man pages in ./usr/share/man diff --git a/MANUAL.txt b/MANUAL.txt index fc33b3433..9122ec8e0 100644 --- a/MANUAL.txt +++ b/MANUAL.txt @@ -1,6 +1,6 @@ % Pandoc User's Guide % John MacFarlane -% October 27, 2017 +% October 31, 2017 Synopsis ======== @@ -206,7 +206,7 @@ the LaTeX engine requires [`fontspec`]. `xelatex` uses `dir` variable set). If the `mathspec` variable is set, `xelatex` will use [`mathspec`] instead of [`unicode-math`]. The [`upquote`] and [`microtype`] packages are used if -available, and [`csquotes`] will be used for [smart punctuation] +available, and [`csquotes`] will be used for [typography] if added to the template or included in any header file. The [`natbib`], [`biblatex`], [`bibtex`], and [`biber`] packages can optionally be used for [citation rendering]. These are included @@ -1189,8 +1189,9 @@ directory (see `--data-dir`, above). *Exceptions:* - For `odt` output, customize the `default.opendocument` template. - For `pdf` output, customize the `default.latex` template - (or the `default.beamer` template, if you use `-t beamer`, - or the `default.context` template, if you use `-t context`). + (or the `default.context` template, if you use `-t context`, + or the `default.ms` template, if you use `-t ms`, or the + `default.html5` template, if you use `-t html5`). - `docx` has no template (however, you can use `--reference-doc` to customize the output). @@ -2007,6 +2008,12 @@ block above will appear as follows: </code> </pre> +The `numberLines` (or `number-lines`) class will cause the lines +of the code block to be numbered, starting with `1` or the value +of the `startFrom` attribute. The `lineAnchors` (or +`line-anchors`) class will cause the lines to be clickable +anchors in HTML output. + A shortcut form can also be used for specifying the language of the code block: @@ -2888,16 +2895,20 @@ Attributes can be attached to verbatim text, just as with ### Small caps ### -To write small caps, you can use an HTML span tag: +To write small caps, use the `smallcaps` class: - <span style="font-variant:small-caps;">Small caps</span> + [Small caps]{.smallcaps} -(The semicolon is optional and there may be space after the -colon.) This will work in all output formats that support small caps. +Or, without the `bracketed_spans` extension: -Alternatively, you can also use the new `bracketed_spans` syntax: + <span class="smallcaps">Small caps</span> + +For compatibility with other Markdown flavors, CSS is also supported: + + <span style="font-variant:small-caps;">Small caps</span> + +This will work in all output formats that support small caps. - [Small caps]{style="font-variant:small-caps;"} Math ---- @@ -3082,7 +3093,7 @@ starts with a fence containing at least three consecutive colons plus some attributes. The attributes may optionally be followed by another string of consecutive colons. The attribute syntax is exactly as in fenced code blocks (see -[Extension-fenced_code_attributes], above). As with fenced +[Extension: `fenced_code_attributes`]). As with fenced code blocks, one can use either attributes in curly braces or a single unbraced word, which will be treated as a class name. The Div ends with another line containing a string of at @@ -4042,18 +4053,35 @@ Speaker notes reveal.js has good support for speaker notes. You can add notes to your Markdown document thus: - <div class="notes"> + ::: notes + This is my note. - It can contain Markdown - like this list - </div> + ::: To show the notes window, press `s` while viewing the presentation. Notes are not yet supported for other slide formats, but the notes will not appear on the slides themselves. +Columns +------- + +To put material in side by side columns, you can use a native +div container with class `columns`, containing two or more div +containers with class `column` and a `width` attribute: + + :::::::::::::: {.columns} + ::: {.column width="40%"} + contents... + ::: + ::: {.column width="60%"} + contents... + ::: + :::::::::::::: + Frame attributes in beamer -------------------------- @@ -1,3 +1,62 @@ +pandoc (2.0.1) + + * Fixed regression in parsing of HTML comments in markdown and other + non-HTML formats (`Text.Pandoc.Readers.HTML.htmlTag`) (#4019). + The parser stopped at the first `>` character, even if it wasn't + the end of the comment. + + * Creole reader (Sascha Wilde): + + + Fix some minor typos and formatting. + + Add additional test on nowiki-block after para. + + Fix lists with trailing white space. + + * LaTeX reader: handle `%` comment right after command. + For example, `\emph%`. + + * Markdown reader: make sure fenced div closers work in lists. + Previously the following failed: + + ::: {.class} + 1. one + 2. two + ::: + + and you needed a blank line before the closing `:::`. + + * Make `fenced_divs` affect the Markdown writer. If `fenced_divs` is + enabled, Divs will be rendered as fenced divs. + + * LaTeX/Beamer writer: support "blocks" inside columns and other Divs + (#4016). + + * HTML Writer: consistently use dashed class-names (Mauro Bieg, #3556). + Note: this change may require some changes in CSS rules. + `footnoteRef` has become `footnote-ref`, `titleslide` has + become `title-slide`, and `footnoteBack` has become `footnote-back`. + + * JATS writer: Properly pass through author metadata (#4020). + + * FB2 writer (Alexander Krotov): + + + Write blocks outside of `<p>` in definitions. + + Make bullet lists consistent with ordered lists, repeating + the marker for the outer list rather than indenting sublists, + since indentation does not work in readers. + + Add new style FB2 tests. + + * `Text.Pandoc.ImageSize`: Add `Millimeter` constructor to `Dimension` + (#4012) [API change]. Now sizes given in 'mm' are no longer converted + to 'cm'. + + * Revise documentation of small caps syntax (Andrew Dunning, #4013). + + * Fix broken reference links in manual (Andrew Dunning, #4014) + + * Fixed example of slide columns structure in changelog (#4015). + Also documented this feature in MANUAL.txt. + + pandoc (2.0.0.1) * EPUB writer: @@ -75,14 +134,14 @@ pandoc (2.0) * Implement multicolumn support for slide formats (#1710). The structure expected is: - <div class="columns"> - <div class="column" width="40%"> - contents... - </div> - <div class="column" width="60%"> - contents... - </div> - </div> + :::::::::::::: {.columns} + ::: {.column width="40%"} + contents... + ::: + ::: {.column width="60%"} + contents... + ::: + :::::::::::::: Support has been added for beamer and all HTML slide formats. diff --git a/data/epub.css b/data/epub.css index 594a1e01e..34835ced4 100644 --- a/data/epub.css +++ b/data/epub.css @@ -12,7 +12,7 @@ h2.author { } h3.date { } ol.toc { padding: 0; margin-left: 1em; } ol.toc li { list-style-type: none; margin: 0; padding: 0; } -a.footnoteRef { vertical-align: super; } +a.footnote-ref { vertical-align: super; } em, em em em, em em em em em { font-style: italic;} em em, em em em em { font-style: normal; } diff --git a/data/templates/default.s5 b/data/templates/default.s5 index a94459bb1..23be415bc 100644 --- a/data/templates/default.s5 +++ b/data/templates/default.s5 @@ -64,7 +64,7 @@ $endfor$ </div> <div class="presentation"> $if(title)$ -<div class="titleslide slide"> +<div class="title-slide slide"> <h1 class="title">$title$</h1> $if(subtitle)$ <h2 class="subtitle">$subtitle$</h2> diff --git a/man/pandoc.1 b/man/pandoc.1 index ccabf76d7..9d0d20128 100644 --- a/man/pandoc.1 +++ b/man/pandoc.1 @@ -1,5 +1,5 @@ .\"t -.TH PANDOC 1 "October 27, 2017" "pandoc 2.0" +.TH PANDOC 1 "October 31, 2017" "pandoc 2.0.1" .SH NAME pandoc - general markup converter .SH SYNOPSIS @@ -200,8 +200,8 @@ requires \f[C]fontspec\f[]. If the \f[C]mathspec\f[] variable is set, \f[C]xelatex\f[] will use \f[C]mathspec\f[] instead of \f[C]unicode\-math\f[]. The \f[C]upquote\f[] and \f[C]microtype\f[] packages are used if -available, and \f[C]csquotes\f[] will be used for [smart punctuation] if -added to the template or included in any header file. +available, and \f[C]csquotes\f[] will be used for typography if added to +the template or included in any header file. The \f[C]natbib\f[], \f[C]biblatex\f[], \f[C]bibtex\f[], and \f[C]biber\f[] packages can optionally be used for citation rendering. These are included with all recent versions of TeX Live. @@ -3572,24 +3572,31 @@ blocks: .fi .SS Small caps .PP -To write small caps, you can use an HTML span tag: +To write small caps, use the \f[C]smallcaps\f[] class: .IP .nf \f[C] -<span\ style="font\-variant:small\-caps;">Small\ caps</span> +[Small\ caps]{.smallcaps} \f[] .fi .PP -(The semicolon is optional and there may be space after the colon.) This -will work in all output formats that support small caps. +Or, without the \f[C]bracketed_spans\f[] extension: +.IP +.nf +\f[C] +<span\ class="smallcaps">Small\ caps</span> +\f[] +.fi .PP -Alternatively, you can also use the new \f[C]bracketed_spans\f[] syntax: +For compatibility with other Markdown flavors, CSS is also supported: .IP .nf \f[C] -[Small\ caps]{style="font\-variant:small\-caps;"} +<span\ style="font\-variant:small\-caps;">Small\ caps</span> \f[] .fi +.PP +This will work in all output formats that support small caps. .SS Math .SS Extension: \f[C]tex_math_dollars\f[] .PP @@ -3814,8 +3821,8 @@ A Div starts with a fence containing at least three consecutive colons plus some attributes. The attributes may optionally be followed by another string of consecutive colons. -The attribute syntax is exactly as in fenced code blocks (see -[Extension\-fenced_code_attributes], above). +The attribute syntax is exactly as in fenced code blocks (see Extension: +\f[C]fenced_code_attributes\f[]). As with fenced code blocks, one can use either attributes in curly braces or a single unbraced word, which will be treated as a class name. The Div ends with another line containing a string of at least three @@ -5023,13 +5030,14 @@ You can add notes to your Markdown document thus: .IP .nf \f[C] -<div\ class="notes"> +:::\ notes + This\ is\ my\ note. \-\ It\ can\ contain\ Markdown \-\ like\ this\ list -</div> +::: \f[] .fi .PP @@ -5037,6 +5045,24 @@ To show the notes window, press \f[C]s\f[] while viewing the presentation. Notes are not yet supported for other slide formats, but the notes will not appear on the slides themselves. +.SS Columns +.PP +To put material in side by side columns, you can use a native div +container with class \f[C]columns\f[], containing two or more div +containers with class \f[C]column\f[] and a \f[C]width\f[] attribute: +.IP +.nf +\f[C] +::::::::::::::\ {.columns} +:::\ {.column\ width="40%"} +contents... +::: +:::\ {.column\ width="60%"} +contents... +::: +:::::::::::::: +\f[] +.fi .SS Frame attributes in beamer .PP Sometimes it is necessary to add the LaTeX \f[C][fragile]\f[] option to diff --git a/pandoc.cabal b/pandoc.cabal index f95851dc6..322a6bcaa 100644 --- a/pandoc.cabal +++ b/pandoc.cabal @@ -1,5 +1,5 @@ name: pandoc -version: 2.0.0.1 +version: 2.0.1 cabal-version: >= 1.10 build-type: Custom license: GPL @@ -320,7 +320,7 @@ library tagsoup >= 0.13.7 && < 0.15, base64-bytestring >= 0.1 && < 1.1, zlib >= 0.5 && < 0.7, - skylighting >= 0.4.2 && <0.5, + skylighting >= 0.4.3 && <0.5, data-default >= 0.4 && < 0.8, temporary >= 1.1 && < 1.3, blaze-html >= 0.5 && < 0.10, @@ -559,7 +559,7 @@ test-suite test-pandoc process >= 1.2.3 && < 1.7, temporary >= 1.1 && < 1.3, Diff >= 0.2 && < 0.4, - tasty >= 0.11 && < 0.12, + tasty >= 0.11 && < 0.13, tasty-hunit >= 0.9 && < 0.10, tasty-quickcheck >= 0.8 && < 0.10, tasty-golden >= 2.3 && < 2.4, @@ -596,6 +596,7 @@ test-suite test-pandoc Tests.Writers.RST Tests.Writers.TEI Tests.Writers.Muse + Tests.Writers.FB2 ghc-options: -rtsopts -Wall -fno-warn-unused-do-bind -threaded default-language: Haskell98 diff --git a/src/Text/Pandoc/CSS.hs b/src/Text/Pandoc/CSS.hs index 41be1ea13..d44b5e1e2 100644 --- a/src/Text/Pandoc/CSS.hs +++ b/src/Text/Pandoc/CSS.hs @@ -40,4 +40,4 @@ pickStylesToKVs props styleAttr = pickStyleAttrProps :: [String] -> String -> Maybe String pickStyleAttrProps lookupProps styleAttr = do styles <- eitherToMaybe $ parse styleAttrParser "" styleAttr - foldOrElse Nothing $ map (flip lookup styles) lookupProps + foldOrElse Nothing $ map (`lookup` styles) lookupProps diff --git a/src/Text/Pandoc/Highlighting.hs b/src/Text/Pandoc/Highlighting.hs index cc72967e4..9c90b229e 100644 --- a/src/Text/Pandoc/Highlighting.hs +++ b/src/Text/Pandoc/Highlighting.hs @@ -81,12 +81,17 @@ highlight :: SyntaxMap -> Attr -- ^ Attributes of the CodeBlock -> String -- ^ Raw contents of the CodeBlock -> Either String a -highlight syntaxmap formatter (_, classes, keyvals) rawCode = +highlight syntaxmap formatter (ident, classes, keyvals) rawCode = let firstNum = fromMaybe 1 (safeRead (fromMaybe "1" $ lookup "startFrom" keyvals)) fmtOpts = defaultFormatOpts{ startNumber = firstNum, + lineAnchors = any (`elem` + ["line-anchors", "lineAnchors"]) classes, numberLines = any (`elem` - ["number","numberLines", "number-lines"]) classes } + ["number","numberLines", "number-lines"]) classes, + lineIdPrefix = if null ident + then mempty + else T.pack (ident ++ "-") } tokenizeOpts = TokenizerConfig{ syntaxMap = syntaxmap , traceOutput = False } classes' = map T.pack classes diff --git a/src/Text/Pandoc/ImageSize.hs b/src/Text/Pandoc/ImageSize.hs index 27d5c6a9c..b4206b84b 100644 --- a/src/Text/Pandoc/ImageSize.hs +++ b/src/Text/Pandoc/ImageSize.hs @@ -79,6 +79,7 @@ instance Show Direction where data Dimension = Pixel Integer | Centimeter Double + | Millimeter Double | Inch Double | Percent Double | Em Double @@ -86,6 +87,7 @@ data Dimension = Pixel Integer instance Show Dimension where show (Pixel a) = show a ++ "px" show (Centimeter a) = showFl a ++ "cm" + show (Millimeter a) = showFl a ++ "mm" show (Inch a) = showFl a ++ "in" show (Percent a) = show a ++ "%" show (Em a) = showFl a ++ "em" @@ -184,6 +186,7 @@ inInch opts dim = case dim of (Pixel a) -> fromIntegral a / fromIntegral (writerDpi opts) (Centimeter a) -> a * 0.3937007874 + (Millimeter a) -> a * 0.03937007874 (Inch a) -> a (Percent _) -> 0 (Em a) -> a * (11/64) @@ -193,6 +196,7 @@ inPixel opts dim = case dim of (Pixel a) -> a (Centimeter a) -> floor $ dpi * a * 0.3937007874 :: Integer + (Millimeter a) -> floor $ dpi * a * 0.03937007874 :: Integer (Inch a) -> floor $ dpi * a :: Integer (Percent _) -> 0 (Em a) -> floor $ dpi * a * (11/64) :: Integer @@ -225,6 +229,7 @@ scaleDimension factor dim = case dim of Pixel x -> Pixel (round $ factor * fromIntegral x) Centimeter x -> Centimeter (factor * x) + Millimeter x -> Millimeter (factor * x) Inch x -> Inch (factor * x) Percent x -> Percent (factor * x) Em x -> Em (factor * x) @@ -243,7 +248,7 @@ lengthToDim :: String -> Maybe Dimension lengthToDim s = numUnit s >>= uncurry toDim where toDim a "cm" = Just $ Centimeter a - toDim a "mm" = Just $ Centimeter (a / 10) + toDim a "mm" = Just $ Millimeter a toDim a "in" = Just $ Inch a toDim a "inch" = Just $ Inch a toDim a "%" = Just $ Percent a @@ -296,8 +301,8 @@ findpHYs x factor = if u == 1 -- dots per meter then \z -> z * 254 `div` 10000 else const 72 - in ( factor $ (shift x1 24) + (shift x2 16) + (shift x3 8) + x4, - factor $ (shift y1 24) + (shift y2 16) + (shift y3 8) + y4 ) + in ( factor $ shift x1 24 + shift x2 16 + shift x3 8 + x4, + factor $ shift y1 24 + shift y2 16 + shift y3 8 + y4 ) | otherwise = findpHYs $ B.drop 1 x -- read another byte gifSize :: ByteString -> Maybe ImageSize diff --git a/src/Text/Pandoc/Logging.hs b/src/Text/Pandoc/Logging.hs index 4723c1119..7f4ae2ada 100644 --- a/src/Text/Pandoc/Logging.hs +++ b/src/Text/Pandoc/Logging.hs @@ -230,7 +230,7 @@ showLogMessage msg = "Skipped '" ++ s ++ "' at " ++ showPos pos CouldNotParseYamlMetadata s pos -> "Could not parse YAML metadata at " ++ showPos pos ++ - if null s then "" else (": " ++ s) + if null s then "" else ": " ++ s DuplicateLinkReference s pos -> "Duplicate link reference '" ++ s ++ "' at " ++ showPos pos DuplicateNoteReference s pos -> @@ -260,20 +260,20 @@ showLogMessage msg = "Docx parser warning: " ++ s CouldNotFetchResource fp s -> "Could not fetch resource '" ++ fp ++ "'" ++ - if null s then "" else (": " ++ s) + if null s then "" else ": " ++ s CouldNotDetermineImageSize fp s -> "Could not determine image size for '" ++ fp ++ "'" ++ - if null s then "" else (": " ++ s) + if null s then "" else ": " ++ s CouldNotConvertImage fp s -> "Could not convert image '" ++ fp ++ "'" ++ - if null s then "" else (": " ++ s) + if null s then "" else ": " ++ s CouldNotDetermineMimeType fp -> "Could not determine mime type for '" ++ fp ++ "'" CouldNotConvertTeXMath s m -> "Could not convert TeX math '" ++ s ++ "', rendering as TeX" ++ - if null m then "" else (':':'\n':m) + if null m then "" else ':' : '\n' : m CouldNotParseCSS m -> - "Could not parse CSS" ++ if null m then "" else (':':'\n':m) + "Could not parse CSS" ++ if null m then "" else ':' : '\n' : m Fetching fp -> "Fetching " ++ fp ++ "..." Extracting fp -> @@ -301,7 +301,7 @@ showLogMessage msg = "The term " ++ t ++ " has no translation defined." CouldNotLoadTranslations lang m -> "Could not load translations for " ++ lang ++ - if null m then "" else ('\n':m) + if null m then "" else '\n' : m messageVerbosity:: LogMessage -> Verbosity messageVerbosity msg = diff --git a/src/Text/Pandoc/Options.hs b/src/Text/Pandoc/Options.hs index 35c17c2ac..581f4c82a 100644 --- a/src/Text/Pandoc/Options.hs +++ b/src/Text/Pandoc/Options.hs @@ -261,4 +261,4 @@ instance Default WriterOptions where -- | Returns True if the given extension is enabled. isEnabled :: Extension -> WriterOptions -> Bool -isEnabled ext opts = ext `extensionEnabled` (writerExtensions opts) +isEnabled ext opts = ext `extensionEnabled` writerExtensions opts diff --git a/src/Text/Pandoc/Parsing.hs b/src/Text/Pandoc/Parsing.hs index a02034de4..61d3caf3d 100644 --- a/src/Text/Pandoc/Parsing.hs +++ b/src/Text/Pandoc/Parsing.hs @@ -188,12 +188,12 @@ where import Control.Monad.Identity import Control.Monad.Reader -import Data.Char (chr, isAlphaNum, isAscii, isHexDigit, isPunctuation, isSpace, +import Data.Char (chr, isAlphaNum, isAscii, isAsciiUpper, isHexDigit, isPunctuation, isSpace, ord, toLower, toUpper) import Data.Default import Data.List (intercalate, isSuffixOf, transpose) import qualified Data.Map as M -import Data.Maybe (catMaybes) +import Data.Maybe (mapMaybe) import Data.Monoid ((<>)) import qualified Data.Set as Set import Data.Text (Text) @@ -354,7 +354,7 @@ oneOfStringsCI = oneOfStrings' ciMatch -- this optimizes toLower by checking common ASCII case -- first, before calling the expensive unicode-aware -- function: - toLower' c | c >= 'A' && c <= 'Z' = chr (ord c + 32) + toLower' c | isAsciiUpper c = chr (ord c + 32) | isAscii c = c | otherwise = toLower c @@ -497,19 +497,19 @@ romanNumeral upperCase = do lookAhead $ oneOf romanDigits let [one, five, ten, fifty, hundred, fivehundred, thousand] = map char romanDigits - thousands <- many thousand >>= (return . (1000 *) . length) + thousands <- ((1000 *) . length) <$> many thousand ninehundreds <- option 0 $ try $ hundred >> thousand >> return 900 - fivehundreds <- many fivehundred >>= (return . (500 *) . length) + fivehundreds <- ((500 *) . length) <$> many fivehundred fourhundreds <- option 0 $ try $ hundred >> fivehundred >> return 400 - hundreds <- many hundred >>= (return . (100 *) . length) + hundreds <- ((100 *) . length) <$> many hundred nineties <- option 0 $ try $ ten >> hundred >> return 90 - fifties <- many fifty >>= (return . (50 *) . length) + fifties <- ((50 *) . length) <$> many fifty forties <- option 0 $ try $ ten >> fifty >> return 40 - tens <- many ten >>= (return . (10 *) . length) + tens <- ((10 *) . length) <$> many ten nines <- option 0 $ try $ one >> ten >> return 9 - fives <- many five >>= (return . (5 *) . length) + fives <- ((5 *) . length) <$> many five fours <- option 0 $ try $ one >> five >> return 4 - ones <- many one >>= (return . length) + ones <- length <$> many one let total = thousands + ninehundreds + fivehundreds + fourhundreds + hundreds + nineties + fifties + forties + tens + nines + fives + fours + ones @@ -545,7 +545,7 @@ emailAddress = try $ toResult <$> mailbox <*> (char '@' *> domain) isEmailPunct c = c `elem` "!\"#$%&'*+-/=?^_{|}~;" -- note: sepBy1 from parsec consumes input when sep -- succeeds and p fails, so we use this variant here. - sepby1 p sep = (:) <$> p <*> (many (try $ sep >> p)) + sepby1 p sep = (:) <$> p <*> many (try $ sep >> p) uriScheme :: Stream s m Char => ParserT s st m String @@ -568,7 +568,7 @@ uri = try $ do let percentEscaped = try $ char '%' >> skipMany1 (satisfy isHexDigit) let entity = () <$ characterReference let punct = skipMany1 (char ',') - <|> () <$ (satisfy (\c -> not (isSpace c) && c /= '<' && c /= '>')) + <|> () <$ satisfy (\c -> not (isSpace c) && c /= '<' && c /= '>') let uriChunk = skipMany1 wordChar <|> percentEscaped <|> entity @@ -837,7 +837,7 @@ blankLineBlockLine = try (char '|' >> blankline) lineBlockLines :: Monad m => ParserT [Char] st m [String] lineBlockLines = try $ do lines' <- many1 (lineBlockLine <|> ((:[]) <$> blankLineBlockLine)) - skipMany $ blankline + skipMany blankline return lines' -- | Parse a table using 'headerParser', 'rowParser', @@ -868,10 +868,10 @@ tableWith' headerParser rowParser lineParser footerParser = try $ do lines' <- sequence <$> rowParser indices `sepEndBy1` lineParser footerParser numColumns <- getOption readerColumns - let widths = if (indices == []) + let widths = if null indices then replicate (length aligns) 0.0 else widthsFromIndices numColumns indices - return $ (aligns, widths, heads, lines') + return (aligns, widths, heads, lines') -- Calculate relative widths of table columns, based on indices widthsFromIndices :: Int -- Number of columns on terminal @@ -1271,7 +1271,7 @@ registerHeader (ident,classes,kvs) header' = do then do let id' = uniqueIdent (B.toList header') ids let id'' = if Ext_ascii_identifiers `extensionEnabled` exts - then catMaybes $ map toAsciiChar id' + then mapMaybe toAsciiChar id' else id' updateState $ updateIdentifierList $ Set.insert id' updateState $ updateIdentifierList $ Set.insert id'' @@ -1417,10 +1417,10 @@ a <+?> b = a >>= flip fmap (try b <|> return mempty) . (<>) extractIdClass :: Attr -> Attr extractIdClass (ident, cls, kvs) = (ident', cls', kvs') where - ident' = case (lookup "id" kvs) of + ident' = case lookup "id" kvs of Just v -> v Nothing -> ident - cls' = case (lookup "class" kvs) of + cls' = case lookup "class" kvs of Just cl -> words cl Nothing -> cls kvs' = filter (\(k,_) -> k /= "id" || k /= "class") kvs diff --git a/src/Text/Pandoc/Pretty.hs b/src/Text/Pandoc/Pretty.hs index ed6dde149..f95bfa8e0 100644 --- a/src/Text/Pandoc/Pretty.hs +++ b/src/Text/Pandoc/Pretty.hs @@ -357,7 +357,7 @@ mergeBlocks addSpace (IsBlock w1 lns1) (IsBlock w2 lns2) = | otherwise -> (lns1, lns2) pad n s = s ++ replicate (n - realLength s) ' ' sp "" = "" - sp xs = if addSpace then (' ' : xs) else xs + sp xs = if addSpace then ' ' : xs else xs offsetOf :: D -> Int offsetOf (Text o _) = o diff --git a/src/Text/Pandoc/Readers/CommonMark.hs b/src/Text/Pandoc/Readers/CommonMark.hs index 6b864521f..47f4c4088 100644 --- a/src/Text/Pandoc/Readers/CommonMark.hs +++ b/src/Text/Pandoc/Readers/CommonMark.hs @@ -59,7 +59,7 @@ readCommonMark opts s = return $ -- | Returns True if the given extension is enabled. enabled :: Extension -> ReaderOptions -> Bool -enabled ext opts = ext `extensionEnabled` (readerExtensions opts) +enabled ext opts = ext `extensionEnabled` readerExtensions opts convertEmojis :: String -> String convertEmojis (':':xs) = diff --git a/src/Text/Pandoc/Readers/Creole.hs b/src/Text/Pandoc/Readers/Creole.hs index 4da259c0e..b4eb6eaef 100644 --- a/src/Text/Pandoc/Readers/Creole.hs +++ b/src/Text/Pandoc/Readers/Creole.hs @@ -27,7 +27,7 @@ Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA License : GNU GPL, version 2 or above Maintainer : Sascha Wilde <wilde@sha-bang.de> - Stability : WIP + Stability : alpha Portability : portable Conversion of creole text to 'Pandoc' document. @@ -64,7 +64,7 @@ readCreole opts s = do type CRLParser = ParserT [Char] ParserState -- --- Utility funcitons +-- Utility functions -- (<+>) :: (Monad m, Monoid a) => m a -> m a -> m a @@ -111,7 +111,8 @@ block = do return res nowiki :: PandocMonad m => CRLParser m B.Blocks -nowiki = try $ fmap (B.codeBlock . mconcat) (nowikiStart >> manyTill content nowikiEnd) +nowiki = try $ fmap (B.codeBlock . mconcat) (nowikiStart + >> manyTill content nowikiEnd) where content = brackets <|> line brackets = try $ option "" ((:[]) <$> newline) @@ -154,7 +155,8 @@ listItem :: PandocMonad m => Char -> Int -> CRLParser m B.Blocks listItem c n = fmap (B.plain . B.trimInlines .mconcat) (listStart >> many1Till inline itemEnd) where - listStart = try $ optional newline >> skipSpaces >> count n (char c) + listStart = try $ skipSpaces >> optional newline >> skipSpaces + >> count n (char c) >> lookAhead (noneOf [c]) >> skipSpaces itemEnd = endOfParaElement <|> nextItem n <|> if n < 3 then nextItem (n+1) @@ -193,7 +195,7 @@ endOfParaElement = lookAhead $ endOfInput <|> endOfPara startOf :: PandocMonad m => CRLParser m a -> CRLParser m () startOf p = try $ blankline >> p >> return mempty startOfList = startOf $ anyList 1 - startOfTable =startOf table + startOfTable = startOf table startOfHeader = startOf header startOfNowiki = startOf nowiki hr = startOf horizontalRule diff --git a/src/Text/Pandoc/Readers/HTML.hs b/src/Text/Pandoc/Readers/HTML.hs index 8d37deb26..2b667c63c 100644 --- a/src/Text/Pandoc/Readers/HTML.hs +++ b/src/Text/Pandoc/Readers/HTML.hs @@ -141,7 +141,7 @@ type TagParser m = HTMLParser m [Tag Text] pHtml :: PandocMonad m => TagParser m Blocks pHtml = try $ do - (TagOpen "html" attr) <- lookAhead $ pAnyTag + (TagOpen "html" attr) <- lookAhead pAnyTag for_ (lookup "lang" attr) $ updateState . B.setMeta "lang" . B.text . T.unpack pInTags "html" block @@ -152,7 +152,7 @@ pBody = pInTags "body" block pHead :: PandocMonad m => TagParser m Blocks pHead = pInTags "head" $ pTitle <|> pMetaTag <|> pBaseTag <|> (mempty <$ pAnyTag) where pTitle = pInTags "title" inline >>= setTitle . trimInlines - setTitle t = mempty <$ (updateState $ B.setMeta "title" t) + setTitle t = mempty <$ updateState (B.setMeta "title" t) pMetaTag = do mt <- pSatisfy (matchTagOpen "meta" []) let name = T.unpack $ fromAttrib "name" mt @@ -233,7 +233,7 @@ eFootnote :: PandocMonad m => TagParser m () eFootnote = try $ do let notes = ["footnote", "rearnote"] guardEnabled Ext_epub_html_exts - (TagOpen tag attr') <- lookAhead $ pAnyTag + (TagOpen tag attr') <- lookAhead pAnyTag let attr = toStringAttr attr' guard (maybe False (flip elem notes) (lookup "type" attr)) let ident = fromMaybe "" (lookup "id" attr) @@ -478,7 +478,7 @@ pTable = try $ do let pTh = option [] $ pInTags "tr" (pCell "th") pTr = try $ skipMany pBlank >> pInTags "tr" (pCell "td" <|> pCell "th") - pTBody = do pOptInTag "tbody" $ many1 pTr + pTBody = pOptInTag "tbody" $ many1 pTr head'' <- pOptInTag "thead" pTh head' <- map snd <$> (pOptInTag "tbody" $ @@ -1133,6 +1133,7 @@ htmlTag :: (HasReaderOptions st, Monad m) -> ParserT [Char] st m (Tag String, String) htmlTag f = try $ do lookAhead (char '<') + startpos <- getPosition inp <- getInput let ts = canonicalizeTags $ parseTagsOptions parseOptions{ optTagWarning = False @@ -1153,11 +1154,17 @@ htmlTag f = try $ do [] -> False (c:cs) -> isLetter c && all isNameChar cs - let endAngle = try $ do char '>' - pos <- getPosition - guard $ (sourceLine pos == ln && - sourceColumn pos >= col) || - sourceLine pos > ln + let endpos = if ln == 1 + then setSourceColumn startpos + (sourceColumn startpos + (col - 1)) + else setSourceColumn (setSourceLine startpos + (sourceLine startpos + (ln - 1))) + col + let endAngle = try $ + do char '>' + pos <- getPosition + guard $ pos >= endpos + let handleTag tagname = do -- basic sanity check, since the parser is very forgiving -- and finds tags in stuff like x<y) @@ -1172,8 +1179,9 @@ htmlTag f = try $ do case next of TagComment s | "<!--" `isPrefixOf` inp -> do - char '<' - manyTill anyChar endAngle + string "<!--" + count (length s) anyChar + string "-->" stripComments <- getOption readerStripComments if stripComments then return (next, "") @@ -1255,7 +1263,7 @@ renderTags' = renderTagsOptions renderOptions{ optMinimize = matchTags ["hr", "br", "img", "meta", "link"] , optRawTag = matchTags ["script", "style"] } - where matchTags = \tags -> flip elem tags . T.toLower + where matchTags tags = flip elem tags . T.toLower -- EPUB Specific diff --git a/src/Text/Pandoc/Readers/LaTeX.hs b/src/Text/Pandoc/Readers/LaTeX.hs index a982029af..9bac3d3a7 100644 --- a/src/Text/Pandoc/Readers/LaTeX.hs +++ b/src/Text/Pandoc/Readers/LaTeX.hs @@ -1132,7 +1132,7 @@ inlineCommand' = try $ do lookupListDefault raw names inlineCommands tok :: PandocMonad m => LP m Inlines -tok = grouped inline <|> inlineCommand' <|> singleChar' +tok = try $ spaces >> grouped inline <|> inlineCommand' <|> singleChar' where singleChar' = do Tok _ _ t <- singleChar return (str (T.unpack t)) diff --git a/src/Text/Pandoc/Readers/Markdown.hs b/src/Text/Pandoc/Readers/Markdown.hs index 2a88b39ec..8fc92f7e8 100644 --- a/src/Text/Pandoc/Readers/Markdown.hs +++ b/src/Text/Pandoc/Readers/Markdown.hs @@ -846,6 +846,7 @@ listLine continuationIndent = try $ do skipMany spaceChar listStart) notFollowedByHtmlCloser + notFollowedByDivCloser optional (() <$ gobbleSpaces continuationIndent) listLineCommon @@ -883,16 +884,24 @@ listContinuation continuationIndent = try $ do x <- try $ do notFollowedBy blankline notFollowedByHtmlCloser + notFollowedByDivCloser gobbleSpaces continuationIndent anyLineNewline xs <- many $ try $ do notFollowedBy blankline notFollowedByHtmlCloser + notFollowedByDivCloser gobbleSpaces continuationIndent <|> notFollowedBy' listStart anyLineNewline blanks <- many blankline return $ concat (x:xs) ++ blanks +notFollowedByDivCloser :: PandocMonad m => MarkdownParser m () +notFollowedByDivCloser = do + guardDisabled Ext_fenced_divs <|> + do divLevel <- stateFencedDivLevel <$> getState + guard (divLevel < 1) <|> notFollowedBy divFenceEnd + notFollowedByHtmlCloser :: PandocMonad m => MarkdownParser m () notFollowedByHtmlCloser = do inHtmlBlock <- stateInHtmlBlock <$> getState @@ -965,6 +974,7 @@ defRawBlock compact = try $ do let dline = try ( do notFollowedBy blankline notFollowedByHtmlCloser + notFollowedByDivCloser if compact -- laziness not compatible with compact then () <$ indentSpaces else (() <$ indentSpaces) @@ -1409,7 +1419,7 @@ tableWith headerParser rowParser lineParser footerParser = try $ do lines' <- fmap sequence $ rowParser indices `sepEndBy1` lineParser footerParser numColumns <- getOption readerColumns - let widths = if indices == [] + let widths = if null indices then replicate (length aligns) 0.0 else widthsFromIndices numColumns indices return (aligns, widths, heads, lines') @@ -1688,10 +1698,8 @@ endline = try $ do guardEnabled Ext_blank_before_header <|> (notFollowedBy . char =<< atxChar) -- atx header guardDisabled Ext_backtick_code_blocks <|> notFollowedBy (() <$ (lookAhead (char '`') >> codeBlockFenced)) - guardDisabled Ext_fenced_divs <|> - do divLevel <- stateFencedDivLevel <$> getState - guard (divLevel < 1) <|> notFollowedBy divFenceEnd notFollowedByHtmlCloser + notFollowedByDivCloser (eof >> return mempty) <|> (guardEnabled Ext_hard_line_breaks >> return (return B.linebreak)) <|> (guardEnabled Ext_ignore_line_breaks >> return mempty) @@ -1998,7 +2006,7 @@ cite = do guardEnabled Ext_citations textualCite <|> do (cs, raw) <- withRaw normalCite - return $ (flip B.cite (B.text raw)) <$> cs + return $ flip B.cite (B.text raw) <$> cs textualCite :: PandocMonad m => MarkdownParser m (F Inlines) textualCite = try $ do @@ -2085,15 +2093,15 @@ citation = try $ do return $ do x <- pref y <- suff - return $ Citation{ citationId = key - , citationPrefix = B.toList x - , citationSuffix = B.toList y - , citationMode = if suppress_author - then SuppressAuthor - else NormalCitation - , citationNoteNum = 0 - , citationHash = 0 - } + return Citation{ citationId = key + , citationPrefix = B.toList x + , citationSuffix = B.toList y + , citationMode = if suppress_author + then SuppressAuthor + else NormalCitation + , citationNoteNum = 0 + , citationHash = 0 + } smart :: PandocMonad m => MarkdownParser m (F Inlines) smart = do diff --git a/src/Text/Pandoc/Readers/Odt/Arrows/State.hs b/src/Text/Pandoc/Readers/Odt/Arrows/State.hs index 06b2dcaaa..73bed545e 100644 --- a/src/Text/Pandoc/Readers/Odt/Arrows/State.hs +++ b/src/Text/Pandoc/Readers/Odt/Arrows/State.hs @@ -82,7 +82,7 @@ tryModifyState f = ArrowState $ \(state,a) instance Cat.Category (ArrowState s) where id = ArrowState id - arrow2 . arrow1 = ArrowState $ (runArrowState arrow2).(runArrowState arrow1) + arrow2 . arrow1 = ArrowState $ runArrowState arrow2 . runArrowState arrow1 instance Arrow (ArrowState state) where arr = ignoringState diff --git a/src/Text/Pandoc/Readers/Odt/ContentReader.hs b/src/Text/Pandoc/Readers/Odt/ContentReader.hs index 44bd89278..4189d5aaa 100644 --- a/src/Text/Pandoc/Readers/Odt/ContentReader.hs +++ b/src/Text/Pandoc/Readers/Odt/ContentReader.hs @@ -293,7 +293,7 @@ withNewStyle a = proc x -> do modifier <- arr modifierFromStyleDiff -< triple fShouldTrace <- isStyleToTrace -< style case fShouldTrace of - Right shouldTrace -> do + Right shouldTrace -> if shouldTrace then do pushStyle -< style @@ -357,7 +357,7 @@ modifierFromStyleDiff propertyTriple = hasChangedM property triple@(_, textProps,_) = fromMaybe False $ (/=) <$> property textProps <*> lookupPreviousValueM property triple - lookupPreviousValue f = lookupPreviousStyleValue ((fmap f).textProperties) + lookupPreviousValue f = lookupPreviousStyleValue (fmap f . textProperties) lookupPreviousValueM f = lookupPreviousStyleValue ((f =<<).textProperties) @@ -803,9 +803,9 @@ read_frame_text_box = matchingElement NsDraw "text-box" arr read_img_with_caption -< toList paragraphs read_img_with_caption :: [Block] -> Inlines -read_img_with_caption ((Para ((Image attr alt (src,title)) : [])) : _) = +read_img_with_caption ((Para [Image attr alt (src,title)]) : _) = singleton (Image attr alt (src, 'f':'i':'g':':':title)) -- no text, default caption -read_img_with_caption ((Para ((Image attr _ (src,title)) : txt)) : _) = +read_img_with_caption (Para (Image attr _ (src,title) : txt) : _) = singleton (Image attr txt (src, 'f':'i':'g':':':title) ) -- override caption with the text that follows read_img_with_caption ( (Para (_ : xs)) : ys) = read_img_with_caption ((Para xs) : ys) diff --git a/src/Text/Pandoc/Readers/Textile.hs b/src/Text/Pandoc/Readers/Textile.hs index f8c2b8cb7..a3b4f2ff1 100644 --- a/src/Text/Pandoc/Readers/Textile.hs +++ b/src/Text/Pandoc/Readers/Textile.hs @@ -387,7 +387,7 @@ table = try $ do char '.' rawcapt <- trim <$> anyLine parseFromString' (mconcat <$> many inline) rawcapt - rawrows <- many1 $ (skipMany ignorableRow) >> tableRow + rawrows <- many1 $ skipMany ignorableRow >> tableRow skipMany ignorableRow blanklines let (headers, rows) = case rawrows of @@ -438,8 +438,7 @@ maybeExplicitBlock name blk = try $ do -- | Any inline element inline :: PandocMonad m => ParserT [Char] ParserState m Inlines -inline = do - choice inlineParsers <?> "inline" +inline = choice inlineParsers <?> "inline" -- | Inline parsers tried in order inlineParsers :: PandocMonad m => [ParserT [Char] ParserState m Inlines] @@ -610,7 +609,7 @@ escapedInline = escapedEqs <|> escapedTag escapedEqs :: PandocMonad m => ParserT [Char] ParserState m Inlines escapedEqs = B.str <$> - (try $ string "==" *> manyTill anyChar' (try $ string "==")) + try (string "==" *> manyTill anyChar' (try $ string "==")) -- | literal text escaped btw <notextile> tags escapedTag :: PandocMonad m => ParserT [Char] ParserState m Inlines @@ -643,7 +642,7 @@ code2 = do -- | Html / CSS attributes attributes :: PandocMonad m => ParserT [Char] ParserState m Attr -attributes = (foldl (flip ($)) ("",[],[])) <$> +attributes = foldl (flip ($)) ("",[],[]) <$> try (do special <- option id specialAttribute attrs <- many attribute return (special : attrs)) diff --git a/src/Text/Pandoc/Readers/TikiWiki.hs b/src/Text/Pandoc/Readers/TikiWiki.hs index ad35a6935..4a66cc13d 100644 --- a/src/Text/Pandoc/Readers/TikiWiki.hs +++ b/src/Text/Pandoc/Readers/TikiWiki.hs @@ -501,7 +501,7 @@ escapedChar = try $ do string "~" inner <- many1 $ oneOf "0123456789" string "~" - return $B.str [(toEnum ((read inner) :: Int)) :: Char] + return $B.str [(toEnum (read inner :: Int)) :: Char] -- UNSUPPORTED, as there doesn't seem to be any facility in calibre -- for this @@ -587,8 +587,7 @@ macroAttr = try $ do return (key, value) macroAttrs :: PandocMonad m => TikiWikiParser m [(String, String)] -macroAttrs = try $ do - sepEndBy macroAttr spaces +macroAttrs = try $ sepEndBy macroAttr spaces -- ~np~ __not bold__ ~/np~ noparse :: PandocMonad m => TikiWikiParser m B.Inlines @@ -641,8 +640,7 @@ wikiLinkText start middle end = do where linkContent = do char '|' - mystr <- many (noneOf middle) - return mystr + many (noneOf middle) externalLink :: PandocMonad m => TikiWikiParser m B.Inlines externalLink = makeLink "[" "]|" "]" diff --git a/src/Text/Pandoc/Readers/Txt2Tags.hs b/src/Text/Pandoc/Readers/Txt2Tags.hs index fdf7a827a..3fc54aaab 100644 --- a/src/Text/Pandoc/Readers/Txt2Tags.hs +++ b/src/Text/Pandoc/Readers/Txt2Tags.hs @@ -560,7 +560,7 @@ endline = try $ do notFollowedBy quote notFollowedBy list notFollowedBy table - return $ B.softbreak + return B.softbreak str :: T2T Inlines str = try $ do diff --git a/src/Text/Pandoc/SelfContained.hs b/src/Text/Pandoc/SelfContained.hs index d3b768109..7cdd6f6e1 100644 --- a/src/Text/Pandoc/SelfContained.hs +++ b/src/Text/Pandoc/SelfContained.hs @@ -124,6 +124,7 @@ convertTags (t@(TagOpen "link" as):ts) = rest Right (mime, bs) | "text/css" `isPrefixOf` mime + && null (fromAttrib "media" t) && not ("</" `B.isInfixOf` bs) -> do rest <- convertTags $ dropWhile (==TagClose "link") ts diff --git a/src/Text/Pandoc/Shared.hs b/src/Text/Pandoc/Shared.hs index 60c8e1a0c..e0ea8b5e7 100644 --- a/src/Text/Pandoc/Shared.hs +++ b/src/Text/Pandoc/Shared.hs @@ -519,8 +519,8 @@ uniqueIdent title' usedIdents -- | True if block is a Header block. isHeaderBlock :: Block -> Bool -isHeaderBlock (Header{}) = True -isHeaderBlock _ = False +isHeaderBlock Header{} = True +isHeaderBlock _ = False -- | Shift header levels up or down. headerShift :: Int -> Pandoc -> Pandoc @@ -584,7 +584,7 @@ renderTags' = renderTagsOptions renderOptions{ optMinimize = matchTags ["hr", "br", "img", "meta", "link"] , optRawTag = matchTags ["script", "style"] } - where matchTags = \tags -> flip elem tags . map toLower + where matchTags tags = flip elem tags . map toLower -- -- File handling diff --git a/src/Text/Pandoc/Writers/AsciiDoc.hs b/src/Text/Pandoc/Writers/AsciiDoc.hs index bf58a755f..3231e1e30 100644 --- a/src/Text/Pandoc/Writers/AsciiDoc.hs +++ b/src/Text/Pandoc/Writers/AsciiDoc.hs @@ -219,7 +219,7 @@ blockToAsciiDoc opts (Table caption aligns widths headers rows) = do AlignCenter -> "^" AlignRight -> ">" AlignDefault -> "") ++ - if wi == 0 then "" else (show wi ++ "%") + if wi == 0 then "" else show wi ++ "%" let headerspec = if all null headers then empty else text "options=\"header\"," diff --git a/src/Text/Pandoc/Writers/FB2.hs b/src/Text/Pandoc/Writers/FB2.hs index cf96393ca..633f42442 100644 --- a/src/Text/Pandoc/Writers/FB2.hs +++ b/src/Text/Pandoc/Writers/FB2.hs @@ -64,7 +64,6 @@ data FbRenderState = FbRenderState { footnotes :: [ (Int, String, [Content]) ] -- ^ #, ID, text , imagesToFetch :: [ (String, String) ] -- ^ filename, URL or path , parentListMarker :: String -- ^ list marker of the parent ordered list - , parentBulletLevel :: Int -- ^ nesting level of the unordered list , writerOptions :: WriterOptions } deriving (Show) @@ -73,7 +72,7 @@ type FBM m = StateT FbRenderState m newFB :: FbRenderState newFB = FbRenderState { footnotes = [], imagesToFetch = [] - , parentListMarker = "", parentBulletLevel = 0 + , parentListMarker = "" , writerOptions = def } data ImageMode = NormalImage | InlineImage deriving (Eq) @@ -95,9 +94,9 @@ pandocToFB2 :: PandocMonad m pandocToFB2 opts (Pandoc meta blocks) = do modify (\s -> s { writerOptions = opts }) desc <- description meta - fp <- frontpage meta + title <- cMapM toXml . docTitle $ meta secs <- renderSections 1 blocks - let body = el "body" $ fp ++ secs + let body = el "body" $ el "title" (el "p" title) : secs notes <- renderFootnotes (imgs,missing) <- fmap imagesToFetch get >>= \s -> lift (fetchImages s) let body' = replaceImagesWithAlt missing body @@ -111,17 +110,9 @@ pandocToFB2 opts (Pandoc meta blocks) = do in [ uattr "xmlns" xmlns , attr ("xmlns", "l") xlink ] -frontpage :: PandocMonad m => Meta -> FBM m [Content] -frontpage meta' = do - t <- cMapM toXml . docTitle $ meta' - return - [ el "title" (el "p" t) - , el "annotation" (map (el "p" . cMap plain) - (docAuthors meta' ++ [docDate meta'])) - ] - description :: PandocMonad m => Meta -> FBM m Content description meta' = do + let genre = el "genre" "unrecognised" bt <- booktitle meta' let as = authors meta' dd <- docdate meta' @@ -131,7 +122,7 @@ description meta' = do _ -> [] where iso639 = takeWhile (/= '-') -- Convert BCP 47 to ISO 639 return $ el "description" - [ el "title-info" (bt ++ as ++ dd ++ lang) + [ el "title-info" (genre : (bt ++ as ++ dd ++ lang)) , el "document-info" [ el "program-used" "pandoc" ] -- FIXME: +version ] @@ -338,7 +329,7 @@ blockToXml (LineBlock lns) = blockToXml (OrderedList a bss) = do state <- get let pmrk = parentListMarker state - let markers = map (pmrk ++) $ orderedListMarkers a + let markers = (pmrk ++) <$> orderedListMarkers a let mkitem mrk bs = do modify (\s -> s { parentListMarker = mrk ++ " "}) item <- cMapM blockToXml $ plainToPara $ indentBlocks (mrk ++ " ") bs @@ -347,32 +338,21 @@ blockToXml (OrderedList a bss) = do concat <$> zipWithM mkitem markers bss blockToXml (BulletList bss) = do state <- get - let level = parentBulletLevel state let pmrk = parentListMarker state - let prefix = replicate (length pmrk) ' ' - let bullets = ["\x2022", "\x25e6", "*", "\x2043", "\x2023"] - let mrk = prefix ++ bullets !! (level `mod` length bullets) + let mrk = pmrk ++ "•" let mkitem bs = do - modify (\s -> s { parentBulletLevel = level+1 }) + modify (\s -> s { parentListMarker = mrk ++ " "}) item <- cMapM blockToXml $ plainToPara $ indentBlocks (mrk ++ " ") bs - modify (\s -> s { parentBulletLevel = level }) -- restore bullet level + modify (\s -> s { parentListMarker = pmrk }) -- old parent marker return item cMapM mkitem bss blockToXml (DefinitionList defs) = cMapM mkdef defs where mkdef (term, bss) = do - def' <- cMapM (cMapM blockToXml . sep . paraToPlain . map indent) bss + items <- cMapM (cMapM blockToXml . plainToPara . indentBlocks (replicate 4 ' ')) bss t <- wrap "strong" term - return [ el "p" t, el "p" def' ] - sep blocks = - if all needsBreak blocks then - blocks ++ [Plain [LineBreak]] - else - blocks - needsBreak (Para _) = False - needsBreak (Plain ins) = LineBreak `notElem` ins - needsBreak _ = True + return (el "p" t : items) blockToXml h@Header{} = do -- should not occur after hierarchicalize, except inside lists/blockquotes report $ BlockNotRendered h @@ -403,14 +383,6 @@ blockToXml (Table caption aligns _ headers rows) = do align_str AlignDefault = "left" blockToXml Null = return [] --- Replace paragraphs with plain text and line break. --- Necessary to simulate multi-paragraph lists in FB2. -paraToPlain :: [Block] -> [Block] -paraToPlain [] = [] -paraToPlain (Para inlines : rest) = - Plain inlines : Plain [LineBreak] : paraToPlain rest -paraToPlain (p:rest) = p : paraToPlain rest - -- Replace plain text with paragraphs and add line break after paragraphs. -- It is used to convert plain text from tight list items to paragraphs. plainToPara :: [Block] -> [Block] diff --git a/src/Text/Pandoc/Writers/HTML.hs b/src/Text/Pandoc/Writers/HTML.hs index ffcde3ce7..1999bdbcf 100644 --- a/src/Text/Pandoc/Writers/HTML.hs +++ b/src/Text/Pandoc/Writers/HTML.hs @@ -101,6 +101,7 @@ data WriterState = WriterState , stHtml5 :: Bool -- ^ Use HTML5 , stEPUBVersion :: Maybe EPUBVersion -- ^ EPUB version if for epub , stSlideVariant :: HTMLSlideVariant + , stCodeBlockNum :: Int -- ^ Number of code block } defaultWriterState :: WriterState @@ -108,7 +109,8 @@ defaultWriterState = WriterState {stNotes= [], stMath = False, stQuotes = False, stHighlighting = False, stSecNum = [], stElement = False, stHtml5 = False, stEPUBVersion = Nothing, - stSlideVariant = NoSlides} + stSlideVariant = NoSlides, + stCodeBlockNum = 0} -- Helpers to render HTML with the appropriate function. @@ -438,7 +440,7 @@ elementToHtml slideLevel opts (Sec level num (id',classes,keyvals) title' elemen [] -> [] (x:xs) -> x ++ concatMap inDiv xs let inNl x = mconcat $ nl opts : intersperse (nl opts) x ++ [nl opts] - let classes' = ["titleslide" | titleSlide] ++ ["slide" | slide] ++ + let classes' = ["title-slide" | titleSlide] ++ ["slide" | slide] ++ ["section" | (slide || writerSectionDivs opts) && not html5 ] ++ ["level" ++ show level | slide || writerSectionDivs opts ] @@ -655,7 +657,7 @@ blockToHtml opts (LineBlock lns) = return $ H.div ! A.class_ "line-block" $ htmlLines blockToHtml opts (Div attr@(ident, classes, kvs') bs) = do html5 <- gets stHtml5 - let kvs = kvs' ++ + let kvs = [(k,v) | (k,v) <- kvs', k /= "width"] ++ if "column" `elem` classes then let w = fromMaybe "48%" (lookup "width" kvs') in [("style", "width:" ++ w ++ ";min-width:" ++ w ++ @@ -664,7 +666,12 @@ blockToHtml opts (Div attr@(ident, classes, kvs') bs) = do let speakerNotes = "notes" `elem` classes -- we don't want incremental output inside speaker notes, see #1394 let opts' = if speakerNotes then opts{ writerIncremental = False } else opts - contents <- blockListToHtml opts' bs + contents <- if "columns" `elem` classes + then -- we don't use blockListToHtml because it inserts + -- a newline between the column divs, which throws + -- off widths! see #4028 + mconcat <$> mapM (blockToHtml opts) bs + else blockListToHtml opts' bs let contents' = nl opts >> contents >> nl opts let (divtag, classes') = if html5 && "section" `elem` classes then (H5.section, filter (/= "section") classes) @@ -698,6 +705,12 @@ blockToHtml _ HorizontalRule = do html5 <- gets stHtml5 return $ if html5 then H5.hr else H.hr blockToHtml opts (CodeBlock (id',classes,keyvals) rawCode) = do + id'' <- if null id' + then do + modify $ \st -> st{ stCodeBlockNum = stCodeBlockNum st + 1 } + codeblocknum <- gets stCodeBlockNum + return ("cb" ++ show codeblocknum) + else return id' let tolhs = isEnabled Ext_literate_haskell opts && any (\c -> map toLower c == "haskell") classes && any (\c -> map toLower c == "literate") classes @@ -711,7 +724,7 @@ blockToHtml opts (CodeBlock (id',classes,keyvals) rawCode) = do else rawCode hlCode = if isJust (writerHighlightStyle opts) then highlight (writerSyntaxMap opts) formatHtmlBlock - (id',classes',keyvals) adjCode + (id'',classes',keyvals) adjCode else Left "" case hlCode of Left msg -> do @@ -720,7 +733,7 @@ blockToHtml opts (CodeBlock (id',classes,keyvals) rawCode) = do addAttrs opts (id',classes,keyvals) $ H.pre $ H.code $ toHtml adjCode Right h -> modify (\st -> st{ stHighlighting = True }) >> - addAttrs opts (id',[],keyvals) h + addAttrs opts (id'',[],keyvals) h blockToHtml opts (BlockQuote blocks) = do -- in S5, treat list in blockquote specially -- if default is incremental, make it nonincremental; @@ -1100,7 +1113,7 @@ inlineToHtml opts inline = do let link = H.a ! A.href (toValue $ "#" ++ revealSlash ++ writerIdentifierPrefix opts ++ "fn" ++ ref) - ! A.class_ "footnoteRef" + ! A.class_ "footnote-ref" ! prefixedId opts ("fnref" ++ ref) $ (if isJust epubVersion then id @@ -1120,7 +1133,7 @@ blockListToNote :: PandocMonad m => WriterOptions -> String -> [Block] -> StateT blockListToNote opts ref blocks = -- If last block is Para or Plain, include the backlink at the end of -- that block. Otherwise, insert a new Plain block with the backlink. - let backlink = [Link ("",["footnoteBack"],[]) [Str "↩"] ("#" ++ writerIdentifierPrefix opts ++ "fnref" ++ ref,[])] + let backlink = [Link ("",["footnote-back"],[]) [Str "↩"] ("#" ++ writerIdentifierPrefix opts ++ "fnref" ++ ref,[])] blocks' = if null blocks then [] else let lastBlock = last blocks diff --git a/src/Text/Pandoc/Writers/ICML.hs b/src/Text/Pandoc/Writers/ICML.hs index 4afa23cb9..ba274fb59 100644 --- a/src/Text/Pandoc/Writers/ICML.hs +++ b/src/Text/Pandoc/Writers/ICML.hs @@ -204,9 +204,9 @@ parStylesToDoc st = vcat $ map makeStyle $ Set.toAscList $ blockStyles st where numbering | isOrderedList = [("NumberingExpression", "^#.^t"), ("NumberingLevel", show nOrds)] | otherwise = [] - listType | isOrderedList && not (isInfixOf subListParName s) + listType | isOrderedList && not (subListParName `isInfixOf` s) = [("BulletsAndNumberingListType", "NumberedList")] - | isBulletList && not (isInfixOf subListParName s) + | isBulletList && not (subListParName `isInfixOf` s) = [("BulletsAndNumberingListType", "BulletList")] | otherwise = [] indent = [("LeftIndent", show indt)] @@ -350,7 +350,7 @@ blockToICML opts style (Table caption aligns widths headers rows) = cells <- rowsToICML tabl (0::Int) let colWidths w = [("SingleColumnWidth",show $ 500 * w) | w > 0] - let tupToDoc tup = selfClosingTag "Column" $ ("Name",show $ fst tup) : (colWidths $ snd tup) + let tupToDoc tup = selfClosingTag "Column" $ ("Name",show $ fst tup) : colWidths (snd tup) let colDescs = vcat $ zipWith (curry tupToDoc) [0..nrCols-1] widths let tableDoc = return $ inTags True "Table" [ ("AppliedTableStyle","TableStyle/Table") diff --git a/src/Text/Pandoc/Writers/JATS.hs b/src/Text/Pandoc/Writers/JATS.hs index 2aac777c6..0ac37efba 100644 --- a/src/Text/Pandoc/Writers/JATS.hs +++ b/src/Text/Pandoc/Writers/JATS.hs @@ -37,7 +37,6 @@ import Data.Generics (everywhere, mkT) import Data.List (isSuffixOf, partition) import Data.Maybe (fromMaybe) import Data.Text (Text) -import qualified Text.Pandoc.Builder as B import Text.Pandoc.Class (PandocMonad, report) import Text.Pandoc.Definition import Text.Pandoc.Highlighting (languages, languagesByExtension) @@ -56,38 +55,14 @@ import qualified Text.XML.Light as Xml data JATSVersion = JATS1_1 deriving (Eq, Show) -type DB = ReaderT JATSVersion - --- | Convert list of authors to a docbook <author> section -authorToJATS :: PandocMonad m => WriterOptions -> [Inline] -> DB m B.Inlines -authorToJATS opts name' = do - name <- render Nothing <$> inlinesToJATS opts name' - let colwidth = if writerWrapText opts == WrapAuto - then Just $ writerColumns opts - else Nothing - return $ B.rawInline "docbook" $ render colwidth $ - if ',' `elem` name - then -- last name first - let (lastname, rest) = break (==',') name - firstname = triml rest in - inTagsSimple "firstname" (text $ escapeStringForXML firstname) <> - inTagsSimple "surname" (text $ escapeStringForXML lastname) - else -- last name last - let namewords = words name - lengthname = length namewords - (firstname, lastname) = case lengthname of - 0 -> ("","") - 1 -> ("", name) - n -> (unwords (take (n-1) namewords), last namewords) - in inTagsSimple "firstname" (text $ escapeStringForXML firstname) $$ - inTagsSimple "surname" (text $ escapeStringForXML lastname) +type JATS = ReaderT JATSVersion writeJATS :: PandocMonad m => WriterOptions -> Pandoc -> m Text writeJATS opts d = runReaderT (docToJATS opts d) JATS1_1 -- | Convert Pandoc document to string in JATS format. -docToJATS :: PandocMonad m => WriterOptions -> Pandoc -> DB m Text +docToJATS :: PandocMonad m => WriterOptions -> Pandoc -> JATS m Text docToJATS opts (Pandoc meta blocks) = do let isBackBlock (Div ("refs",_,_) _) = True isBackBlock _ = False @@ -110,14 +85,12 @@ docToJATS opts (Pandoc meta blocks) = do TopLevelChapter -> 0 TopLevelSection -> 1 TopLevelDefault -> 1 - auths' <- mapM (authorToJATS opts) $ docAuthors meta - let meta' = B.setMeta "author" auths' meta metadata <- metaToJSON opts (fmap (render' . vcat) . mapM (elementToJATS opts' startLvl) . hierarchicalize) (fmap render' . inlinesToJATS opts') - meta' + meta main <- (render' . vcat) <$> mapM (elementToJATS opts' startLvl) elements back <- (render' . vcat) <$> @@ -132,7 +105,7 @@ docToJATS opts (Pandoc meta blocks) = do Just tpl -> renderTemplate' tpl context -- | Convert an Element to JATS. -elementToJATS :: PandocMonad m => WriterOptions -> Int -> Element -> DB m Doc +elementToJATS :: PandocMonad m => WriterOptions -> Int -> Element -> JATS m Doc elementToJATS opts _ (Blk block) = blockToJATS opts block elementToJATS opts lvl (Sec _ _num (id',_,kvs) title elements) = do let idAttr = [("id", writerIdentifierPrefix opts ++ id') | not (null id')] @@ -144,7 +117,7 @@ elementToJATS opts lvl (Sec _ _num (id',_,kvs) title elements) = do inTagsSimple "title" title' $$ vcat contents -- | Convert a list of Pandoc blocks to JATS. -blocksToJATS :: PandocMonad m => WriterOptions -> [Block] -> DB m Doc +blocksToJATS :: PandocMonad m => WriterOptions -> [Block] -> JATS m Doc blocksToJATS opts = fmap vcat . mapM (blockToJATS opts) -- | Auxiliary function to convert Plain block to Para. @@ -155,13 +128,13 @@ plainToPara x = x -- | Convert a list of pairs of terms and definitions into a list of -- JATS varlistentrys. deflistItemsToJATS :: PandocMonad m - => WriterOptions -> [([Inline],[[Block]])] -> DB m Doc + => WriterOptions -> [([Inline],[[Block]])] -> JATS m Doc deflistItemsToJATS opts items = vcat <$> mapM (uncurry (deflistItemToJATS opts)) items -- | Convert a term and a list of blocks into a JATS varlistentry. deflistItemToJATS :: PandocMonad m - => WriterOptions -> [Inline] -> [[Block]] -> DB m Doc + => WriterOptions -> [Inline] -> [[Block]] -> JATS m Doc deflistItemToJATS opts term defs = do term' <- inlinesToJATS opts term def' <- blocksToJATS opts $ concatMap (map plainToPara) defs @@ -171,7 +144,7 @@ deflistItemToJATS opts term defs = do -- | Convert a list of lists of blocks to a list of JATS list items. listItemsToJATS :: PandocMonad m - => WriterOptions -> Maybe [String] -> [[Block]] -> DB m Doc + => WriterOptions -> Maybe [String] -> [[Block]] -> JATS m Doc listItemsToJATS opts markers items = case markers of Nothing -> vcat <$> mapM (listItemToJATS opts Nothing) items @@ -179,7 +152,7 @@ listItemsToJATS opts markers items = -- | Convert a list of blocks into a JATS list item. listItemToJATS :: PandocMonad m - => WriterOptions -> Maybe String -> [Block] -> DB m Doc + => WriterOptions -> Maybe String -> [Block] -> JATS m Doc listItemToJATS opts mbmarker item = do contents <- blocksToJATS opts item return $ inTagsIndented "list-item" $ @@ -187,7 +160,7 @@ listItemToJATS opts mbmarker item = do $$ contents -- | Convert a Pandoc block element to JATS. -blockToJATS :: PandocMonad m => WriterOptions -> Block -> DB m Doc +blockToJATS :: PandocMonad m => WriterOptions -> Block -> JATS m Doc blockToJATS _ Null = return empty -- Bibliography reference: blockToJATS opts (Div ('r':'e':'f':'-':_,_,_) [Para lst]) = @@ -311,7 +284,7 @@ tableRowToJATS :: PandocMonad m => WriterOptions -> Bool -> [[Block]] - -> DB m Doc + -> JATS m Doc tableRowToJATS opts isHeader cols = (inTagsIndented "tr" . vcat) <$> mapM (tableItemToJATS opts isHeader) cols @@ -319,17 +292,17 @@ tableItemToJATS :: PandocMonad m => WriterOptions -> Bool -> [Block] - -> DB m Doc + -> JATS m Doc tableItemToJATS opts isHeader item = (inTags True (if isHeader then "th" else "td") [] . vcat) <$> mapM (blockToJATS opts) item -- | Convert a list of inline elements to JATS. -inlinesToJATS :: PandocMonad m => WriterOptions -> [Inline] -> DB m Doc +inlinesToJATS :: PandocMonad m => WriterOptions -> [Inline] -> JATS m Doc inlinesToJATS opts lst = hcat <$> mapM (inlineToJATS opts) lst -- | Convert an inline element to JATS. -inlineToJATS :: PandocMonad m => WriterOptions -> Inline -> DB m Doc +inlineToJATS :: PandocMonad m => WriterOptions -> Inline -> JATS m Doc inlineToJATS _ (Str str) = return $ text $ escapeStringForXML str inlineToJATS opts (Emph lst) = inTagsSimple "italic" <$> inlinesToJATS opts lst diff --git a/src/Text/Pandoc/Writers/LaTeX.hs b/src/Text/Pandoc/Writers/LaTeX.hs index ab1e90b3b..156af4bb2 100644 --- a/src/Text/Pandoc/Writers/LaTeX.hs +++ b/src/Text/Pandoc/Writers/LaTeX.hs @@ -371,6 +371,10 @@ toSlides bs = do concat `fmap` mapM (elementToBeamer slideLevel) (hierarchicalize bs') elementToBeamer :: PandocMonad m => Int -> Element -> LW m [Block] +elementToBeamer _slideLevel (Blk (Div attr bs)) = do + -- make sure we support "blocks" inside divs + bs' <- concat `fmap` mapM (elementToBeamer 0) (hierarchicalize bs) + return [Div attr bs'] elementToBeamer _slideLevel (Blk b) = return [b] elementToBeamer slideLevel (Sec lvl _num (ident,classes,kvs) tit elts) | lvl > slideLevel = do @@ -831,7 +835,7 @@ defListItemToLaTeX (term, defs) = do else term' def' <- liftM vsep $ mapM blockListToLaTeX defs return $ case defs of - ((Header _ _ _ : _) : _) -> + ((Header{} : _) : _) -> "\\item" <> brackets term'' <> " ~ " $$ def' _ -> "\\item" <> brackets term'' $$ def' diff --git a/src/Text/Pandoc/Writers/Markdown.hs b/src/Text/Pandoc/Writers/Markdown.hs index 5d812b169..a1f30cb0e 100644 --- a/src/Text/Pandoc/Writers/Markdown.hs +++ b/src/Text/Pandoc/Writers/Markdown.hs @@ -397,11 +397,19 @@ blockToMarkdown' :: PandocMonad m blockToMarkdown' _ Null = return empty blockToMarkdown' opts (Div attrs ils) = do contents <- blockListToMarkdown opts ils - return $ if isEnabled Ext_raw_html opts && - isEnabled Ext_markdown_in_html_blocks opts - then tagWithAttrs "div" attrs <> blankline <> - contents <> blankline <> "</div>" <> blankline - else contents <> blankline + return $ + case () of + _ | isEnabled Ext_fenced_divs opts && + attrs /= nullAttr -> + nowrap (text ":::" <+> attrsToMarkdown attrs) $$ + chomp contents $$ + text ":::" <> blankline + | isEnabled Ext_native_divs opts || + (isEnabled Ext_raw_html opts && + isEnabled Ext_markdown_in_html_blocks opts) -> + tagWithAttrs "div" attrs <> blankline <> + contents <> blankline <> "</div>" <> blankline + | otherwise -> contents <> blankline blockToMarkdown' opts (Plain inlines) = do contents <- inlineListToMarkdown opts inlines -- escape if para starts with ordered list marker diff --git a/src/Text/Pandoc/Writers/ODT.hs b/src/Text/Pandoc/Writers/ODT.hs index fcd551227..390d7c3ba 100644 --- a/src/Text/Pandoc/Writers/ODT.hs +++ b/src/Text/Pandoc/Writers/ODT.hs @@ -116,8 +116,8 @@ pandocToODT opts doc@(Pandoc meta _) = do ,("manifest:version","1.2")] ( selfClosingTag "manifest:file-entry" [("manifest:media-type","application/vnd.oasis.opendocument.text") ,("manifest:full-path","/")] - $$ vcat ( map toFileEntry $ files ) - $$ vcat ( map toFileEntry $ formulas ) + $$ vcat ( map toFileEntry files ) + $$ vcat ( map toFileEntry formulas ) ) ) let archive' = addEntryToArchive manifestEntry archive diff --git a/src/Text/Pandoc/Writers/OpenDocument.hs b/src/Text/Pandoc/Writers/OpenDocument.hs index ac4a85670..702349636 100644 --- a/src/Text/Pandoc/Writers/OpenDocument.hs +++ b/src/Text/Pandoc/Writers/OpenDocument.hs @@ -572,7 +572,7 @@ paraStyle attrs = do t <- gets stTight let styleAttr = [ ("style:name" , "P" ++ show pn) , ("style:family" , "paragraph" )] - indentVal = flip (++) "in" . show $ if b then (max 0.5 i) else i + indentVal = flip (++) "in" . show $ if b then max 0.5 i else i tight = if t then [ ("fo:margin-top" , "0in" ) , ("fo:margin-bottom" , "0in" )] else [] diff --git a/src/Text/Pandoc/Writers/RST.hs b/src/Text/Pandoc/Writers/RST.hs index aab8a3bf0..42d4d0040 100644 --- a/src/Text/Pandoc/Writers/RST.hs +++ b/src/Text/Pandoc/Writers/RST.hs @@ -437,8 +437,8 @@ inlineListToRST lst = isComplex (Strikeout _) = True isComplex (Superscript _) = True isComplex (Subscript _) = True - isComplex (Link{}) = True - isComplex (Image{}) = True + isComplex Link{} = True + isComplex Image{} = True isComplex (Code _ _) = True isComplex (Math _ _) = True isComplex (Cite _ (x:_)) = isComplex x diff --git a/src/Text/Pandoc/Writers/RTF.hs b/src/Text/Pandoc/Writers/RTF.hs index 917fef3eb..955b3f7f1 100644 --- a/src/Text/Pandoc/Writers/RTF.hs +++ b/src/Text/Pandoc/Writers/RTF.hs @@ -326,7 +326,7 @@ tableItemToRTF indent alignment item = do spaceAtEnd :: String -> String spaceAtEnd str = if "\\par}\n" `isSuffixOf` str - then take ((length str) - 6) str ++ "\\sa180\\par}\n" + then take (length str - 6) str ++ "\\sa180\\par}\n" else str -- | Convert list item (list of blocks) to RTF. diff --git a/src/Text/Pandoc/Writers/TEI.hs b/src/Text/Pandoc/Writers/TEI.hs index aa87c55e1..8e9d155fa 100644 --- a/src/Text/Pandoc/Writers/TEI.hs +++ b/src/Text/Pandoc/Writers/TEI.hs @@ -159,7 +159,7 @@ blockToTEI opts (Div (ident,_,_) [Para lst]) = do let attribs = [("id", ident) | not (null ident)] inTags False "p" attribs <$> inlinesToTEI opts lst blockToTEI opts (Div _ bs) = blocksToTEI opts $ map plainToPara bs -blockToTEI _ h@(Header{}) = do +blockToTEI _ h@Header{} = do -- should not occur after hierarchicalize, except inside lists/blockquotes report $ BlockNotRendered h return empty diff --git a/src/Text/Pandoc/Writers/ZimWiki.hs b/src/Text/Pandoc/Writers/ZimWiki.hs index 29849aa51..30317db73 100644 --- a/src/Text/Pandoc/Writers/ZimWiki.hs +++ b/src/Text/Pandoc/Writers/ZimWiki.hs @@ -142,7 +142,7 @@ blockToZimWiki _ (CodeBlock (_,classes,_) str) = do return $ case classes of [] -> "'''\n" ++ cleanupCode str ++ "\n'''\n" -- turn no lang block into a quote block (x:_) -> "{{{code: lang=\"" ++ - (fromMaybe x (Map.lookup x langmap)) ++ "\" linenumbers=\"True\"\n" ++ str ++ "\n}}}\n" -- for zim's code plugin, go verbatim on the lang spec + fromMaybe x (Map.lookup x langmap) ++ "\" linenumbers=\"True\"\n" ++ str ++ "\n}}}\n" -- for zim's code plugin, go verbatim on the lang spec blockToZimWiki opts (BlockQuote blocks) = do contents <- blockListToZimWiki opts blocks @@ -156,7 +156,7 @@ blockToZimWiki opts (Table capt aligns _ headers rows) = do return $ "" ++ c ++ "\n" headers' <- if all null headers then zipWithM (tableItemToZimWiki opts) aligns (head rows) - else mapM ((inlineListToZimWiki opts) . removeFormatting)headers -- emphasis, links etc. are not allowed in table headers + else mapM (inlineListToZimWiki opts . removeFormatting)headers -- emphasis, links etc. are not allowed in table headers rows' <- mapM (zipWithM (tableItemToZimWiki opts) aligns) rows let widths = map (maximum . map length) $ transpose (headers':rows') let padTo (width, al) s = diff --git a/stack.yaml b/stack.yaml index 5e25529f5..da5869ff3 100644 --- a/stack.yaml +++ b/stack.yaml @@ -9,7 +9,7 @@ packages: extra-deps: - pandoc-types-1.17.2 - hslua-0.9.2 -- skylighting-0.4.2 +- skylighting-0.4.3 - cmark-gfm-0.1.1 - QuickCheck-2.10.0.1 - tasty-quickcheck-0.9.1 diff --git a/test/Tests/Readers/Creole.hs b/test/Tests/Readers/Creole.hs index 96517c25c..3a21df738 100644 --- a/test/Tests/Readers/Creole.hs +++ b/test/Tests/Readers/Creole.hs @@ -127,6 +127,11 @@ tests = [ =?> bulletList [ plain "foo" <> bulletList [ plain "bar", plain "baz" ] , plain "blubb" ] + , "nested unordered list, one separating space, trailing space" =: + "* foo \n** bar \n** baz \n* blubb " + =?> bulletList [ plain "foo" + <> bulletList [ plain "bar", plain "baz" ] + , plain "blubb" ] , "ordered list, two entries, one separating space" =: "# foo\n# bar" =?> orderedList [ plain "foo", plain "bar" ] @@ -141,6 +146,11 @@ tests = [ =?> orderedList [ plain "foo" <> orderedList [ plain "bar", plain "baz" ] , plain "blubb" ] + , "nested ordered list, one separating space, trailing space" =: + "# foo \n## bar \n## baz \n# blubb " + =?> orderedList [ plain "foo" + <> orderedList [ plain "bar", plain "baz" ] + , plain "blubb" ] , "nested many ordered lists, one separating space" =: ("# foo\n## bar\n### third\n### third two\n## baz\n### third again\n" <> "#### fourth\n##### fith\n# blubb") @@ -193,7 +203,10 @@ tests = [ , "forced line breaks" =: "{{{no break!\\\\here}}} but a break\\\\here!" =?> para (code "no break!\\\\here" <> " but a break" - <> linebreak <> "here!") + <> linebreak <> "here!"), + "quoted block, after trailing white space" =: + "this is a paragraph \n{{{\nfoo bar\n //baz//\n}}}" + =?> para "this is a paragraph" <> codeBlock "foo bar\n //baz//" ] , testGroup "Images and Links" [ "image simple" =: diff --git a/test/Tests/Writers/FB2.hs b/test/Tests/Writers/FB2.hs new file mode 100644 index 000000000..b4d11abf4 --- /dev/null +++ b/test/Tests/Writers/FB2.hs @@ -0,0 +1,34 @@ +{-# LANGUAGE OverloadedStrings #-} +module Tests.Writers.FB2 (tests) where + +import Test.Tasty +import Tests.Helpers +import Text.Pandoc +import Text.Pandoc.Arbitrary () +import Text.Pandoc.Builder + +fb2 :: String -> String +fb2 x = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n" ++ + "<FictionBook xmlns=\"http://www.gribuser.ru/xml/fictionbook/2.0\" xmlns:l=\"http://www.w3.org/1999/xlink\"><description><title-info><genre>unrecognised</genre></title-info><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><section>" ++ x ++ "</section></body></FictionBook>" + +infix 4 =: +(=:) :: (ToString a, ToPandoc a) + => String -> (a, String) -> TestTree +(=:) = test (purely (writeFB2 def) . toPandoc) + +tests :: [TestTree] +tests = [ testGroup "block elements" + ["para" =: para "Lorem ipsum cetera." + =?> fb2 "<p>Lorem ipsum cetera.</p>" + ] + , testGroup "inlines" + [ + "Emphasis" =: emph ("emphasized") + =?> fb2 "<emphasis>emphasized</emphasis>" + ] + , "bullet list" =: bulletList [ plain $ text "first" + , plain $ text "second" + , plain $ text "third" + ] + =?> fb2 "<p>\x2022 first</p><p>\x2022 second</p><p>\x2022 third</p>" + ] diff --git a/test/command/1710.md b/test/command/1710.md index be96678bd..8a8b05889 100644 --- a/test/command/1710.md +++ b/test/command/1710.md @@ -19,19 +19,17 @@ ok <section id="slide-one" class="slide level1"> <h1>Slide one</h1> <div class="columns"> -<div class="column" width="40%" style="width:40%;min-width:40%;vertical-align:top;"> +<div class="column" style="width:40%;min-width:40%;vertical-align:top;"> <ul> <li>a</li> <li>b</li> </ul> -</div> -<div class="column" width="40%" style="width:40%;min-width:40%;vertical-align:top;"> +</div><div class="column" style="width:40%;min-width:40%;vertical-align:top;"> <ul> <li>c</li> <li>d</li> </ul> -</div> -<div class="column" width="10%" style="width:10%;min-width:10%;vertical-align:top;"> +</div><div class="column" style="width:10%;min-width:10%;vertical-align:top;"> <p>ok</p> </div> </div> diff --git a/test/command/3596.md b/test/command/3596.md index a064ca632..01a871e1b 100644 --- a/test/command/3596.md +++ b/test/command/3596.md @@ -50,11 +50,9 @@ ^D - foo -- <div id="id"> - +- ::: {#id} bar - - </div> + ::: - baz diff --git a/test/command/3989.md b/test/command/3989.md index 643de9f5d..bf078b2e4 100644 --- a/test/command/3989.md +++ b/test/command/3989.md @@ -1,9 +1,7 @@ ``` pandoc -f markdown -t native -<span data-toggle="tooltip" data-placement="right" data-html="true" -title="1st line of text <br> 2nd line of text"> -Hover over me -</span> +<span title="1st line of text <br> 2nd line of text">foo</span> + <span title="1st line of text <br> 2nd line of text">foo</span> ^D -[Para [Span ("",[],[("data-toggle","tooltip"),("data-placement","right"),("data-html","true"),("title","1st line of text <br> 2nd line of text")]) [SoftBreak,Str "Hover",Space,Str "over",Space,Str "me",SoftBreak]]] +[Para [Span ("",[],[("title","1st line of text <br> 2nd line of text")]) [Str "foo"],SoftBreak,Span ("",[],[("title","1st line of text <br> 2nd line of text")]) [Str "foo"]]] ``` diff --git a/test/command/4012.md b/test/command/4012.md new file mode 100644 index 000000000..579ee2459 --- /dev/null +++ b/test/command/4012.md @@ -0,0 +1,8 @@ +``` +pandoc -f markdown-implicit_figures +![image] + +[image]: http://example.com/image.jpg {height=35mm} +^D +<p><img src="http://example.com/image.jpg" alt="image" style="height:35mm" /></p> +``` diff --git a/test/command/4016.md b/test/command/4016.md new file mode 100644 index 000000000..69ad1c911 --- /dev/null +++ b/test/command/4016.md @@ -0,0 +1,47 @@ +``` +pandoc -t beamer +# Level 2 blocks + +<div class="columns"> +<div class="column" width="40%"> +## Block one +- Item +</div> +<div class="column" width="60%"> +## Block two +- Item +</div> +</div> +^D +\begin{frame}{% +\protect\hypertarget{level-2-blocks}{% +Level 2 blocks}} + +\begin{columns}[T] +\begin{column}{0.40\textwidth} +\begin{block}{Block one} + +\begin{itemize} +\tightlist +\item + Item +\end{itemize} + +\end{block} +\end{column} + +\begin{column}{0.60\textwidth} +\begin{block}{Block two} + +\begin{itemize} +\tightlist +\item + Item +\end{itemize} + +\end{block} +\end{column} +\end{columns} + +\end{frame} +``` diff --git a/test/command/4019.md b/test/command/4019.md new file mode 100644 index 000000000..ab13f0233 --- /dev/null +++ b/test/command/4019.md @@ -0,0 +1,8 @@ +``` +pandoc --wrap=preserve +This <!-- x > 0 --> works! +This <!-- x > 0 --> fails? +^D +<p>This <!-- x > 0 --> works! +This <!-- x > 0 --> fails?</p> +``` diff --git a/test/command/latex-command-comment.md b/test/command/latex-command-comment.md new file mode 100644 index 000000000..640277f15 --- /dev/null +++ b/test/command/latex-command-comment.md @@ -0,0 +1,7 @@ +``` +pandoc -f latex -t native +\emph% +{hi} +^D +[Para [Emph [Str "hi"]]] +``` diff --git a/test/fb2/basic.fb2 b/test/fb2/basic.fb2 index ff1c65c11..b6160a9a5 100644 --- a/test/fb2/basic.fb2 +++ b/test/fb2/basic.fb2 @@ -1,3 +1,3 @@ <?xml version="1.0" encoding="UTF-8"?> -<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info /><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><annotation><p></p></annotation><section><title><p>Top-level title</p></title><section><title><p>Section</p></title><section><title><p>Subsection</p></title><p>This <emphasis>emphasized</emphasis> <strong>strong</strong> <code>verbatim</code> markdown. See this link<a l:href="#l1" type="note"><sup>[1]</sup></a>.</p><p>Ordered list:</p><p>1. one</p><p>2. two</p><p>3. three</p><cite><p>Blockquote is for citatons.</p></cite><empty-line /><p><code>Code</code></p><p><code>block</code></p><p><code>is</code></p><p><code>for</code></p><p><code>code.</code></p><empty-line /><p><strikethrough>Strikeout</strikethrough> is Pandoc’s extension. Superscript and subscripts too: H<sub>2</sub>O is a liquid<a l:href="#n2" type="note"><sup>[2]</sup></a>. 2<sup>10</sup> is 1024.</p><p>Math is another Pandoc extension: <code>E = m c^2</code>.</p></section></section></section></body><body name="notes"><section id="l1"><title><p>1</p></title><p><code>http://example.com/</code></p></section><section id="n2"><title><p>2</p></title><p>Sometimes.</p></section></body></FictionBook> +<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info><genre>unrecognised</genre></title-info><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><section><title><p>Top-level title</p></title><section><title><p>Section</p></title><section><title><p>Subsection</p></title><p>This <emphasis>emphasized</emphasis> <strong>strong</strong> <code>verbatim</code> markdown. See this link<a l:href="#l1" type="note"><sup>[1]</sup></a>.</p><p>Ordered list:</p><p>1. one</p><p>2. two</p><p>3. three</p><cite><p>Blockquote is for citatons.</p></cite><empty-line /><p><code>Code</code></p><p><code>block</code></p><p><code>is</code></p><p><code>for</code></p><p><code>code.</code></p><empty-line /><p><strikethrough>Strikeout</strikethrough> is Pandoc’s extension. Superscript and subscripts too: H<sub>2</sub>O is a liquid<a l:href="#n2" type="note"><sup>[2]</sup></a>. 2<sup>10</sup> is 1024.</p><p>Math is another Pandoc extension: <code>E = m c^2</code>.</p></section></section></section></body><body name="notes"><section id="l1"><title><p>1</p></title><p><code>http://example.com/</code></p></section><section id="n2"><title><p>2</p></title><p>Sometimes.</p></section></body></FictionBook> diff --git a/test/fb2/images-embedded.fb2 b/test/fb2/images-embedded.fb2 index 8c22efad3..d647005ad 100644 --- a/test/fb2/images-embedded.fb2 +++ b/test/fb2/images-embedded.fb2 @@ -1,2 +1,2 @@ <?xml version="1.0" encoding="UTF-8"?> -<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info /><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><annotation><p></p></annotation><section><image l:href="#image1" l:type="inlineImageType" alt="This image was embedded using data URI scheme" /><p>This image was embedded using data URI scheme</p></section></body><binary id="image1" 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diff --git a/test/fb2/images.fb2 b/test/fb2/images.fb2 index 8b783edf5..6de9720a0 100644 --- a/test/fb2/images.fb2 +++ b/test/fb2/images.fb2 @@ -1,2 +1,2 @@ <?xml version="1.0" encoding="UTF-8"?> -<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info /><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><annotation><p></p></annotation><section><p>This example test if Pandoc correctly embeds images into FictionBook.</p><p>Small inline image: <image l:href="#image1" l:type="inlineImageType" alt="alt text a small PNG image" />.</p><p>Paragraph image:</p><image l:href="#image2" l:type="imageType" alt="alt text of a big JPEG image" title="image title text" /><p>alt text of a big missing image</p><p>A missing image inline: alt text of missing image.</p></section></body><binary id="image2" 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XL1GSMeWxypbCFQT3BUg4YE43hoqdB9z/dZ3NLXSR9+q3SW4otJS1sgdkE0C9lwcucHsT8nHb1/XtqrKJgKtonRZyNw3utlZAASp9RkZ/odVk2VZCX0gZ1GmVJVdH0yP46mYKErC1tDUo809D1SRyBRNCHIJwwy0eewYr1Aj/F27gjvY143RzLEVtWbrT3SW1VdFFWRIDA8jFDE4JDlxjqQd+nBHqPyOmAiA5O0CRZc6qa6rroLrtuppqy239I4ZUQt1w+xMOhqiB0XuqGBmCoSyO0fUvvAHZoBVHlv89YPrMfOE3LMG/7rld43ls+S2yTbut9z2/ba6gSz3p7Ksaw0zVTPC6yRHJk6usZEkWAGGR8daOZ0tbczadbDY7R2KuGCgDSG3g6GN/v81onAd2p+RONt5eH3llLpFyds2WKyVP37WwS1V8sbZprdfFaJinl1sNO6yAEBaiOeMke6TdxB0OGIpRlfMxoHalt+mo7HsslFzqVUMIu3QwRIG+n3EqLOxPEHtHghdn7c3pHvHe1BYCLFUvR2qGlqEvUHXSxU9SSkSSrLFRe0QMpfsfKLNJJGJd+NpOrtdVbaepkQRJI7jQ6fS1uHcQfBdadwDNjEECYmbSZPxCJfOaGoeWNvcTUlVvO68X7rs9vulfa4Nr1FHV7et1RRzzJFUSwhZkM06xwiAqpZJJXLgBSYMKXBxe3maSASRBIgQAbGBLtTECyvZWy+G5pAzWGtr3cTcDTKJF3G2hXNeVuJppdvbM3fwvdaDbnEm2N22S8v7ZY5DHdY+v2B6ny2WExU8Iq2qCz9Sz9IfowQZN2HdU8QNqWeZAHQG43idAALieulGIfTZhyLOAu686RIG/rrYEbFdcuVJyXx346tubF4otu171Bf9n3lLrT3mjehpNm1MEtBIK6iRJ2kq45JGQimWOJUkqyfNUTHHOwz6dTDudUJa0RcEEm5EaWsYkm4BsYVWOrOa+lmOYOJsJuAJJJIixG0m46gqXF62BLZ7XaKabeIuFXQXZax7DaaaCnStmZaj2h1Y+ZM9bUJJIxmLorsQvSgbAye/Nc/MG2IiSTYWtsA0WnU7yVspscQZAF5k66gg/DYAQFovLd6o948s+G7j/j+ONKK4NedyVtdDL1iz263UtNSgRB5F6pZDdI6fsQE81m6upOlruHy0ValS4AA9S51tjblnS+XoVkxbCGMafOXCJ2gEkkSDoYF7FwJClbY9oXiK9JuC81CGrjQRQyTOEeOIsMgRQN5ahiqnpJIX0+Jxzq+IZlLGb/AB+p/bp0vZ4gIA+/1P73+Gs0/JFTcbu+yrZJPXXuCVJ7lUPC0K2undWYGTAIEzDBEBw3fLdIIyzcMI8Rw5fnJ6D9ToO5Vr6IaM3XQddvl+e3VdSgvtuo6RKamgnZlqWpKaJpMvO2V/xHOCfMyS2CCGz6ay5S4z9j7hUmiZknun9Deqa43CppaZo5adURo5EcN1nv1enwHugHPc9X/CdA0yGhxSVKRbqswroxlGQChIIJ9PrquUmVaFUMDfLzbqIU6xVE8HtEUfaSpdoY+tmYY8sCMKev1Y4HyzsYZYCdp+An63OnxV4BADj01+cR92Wbt10iq7nX22BE8uliVXKuW6XDEdI/7vQfXIzg+ms+Uluc/f2bKt9OI7pVonWsrb3NG9U0aziHpcYEZRQCACAQSc/PtjTPGVone6FTYLNFO2kDiq0kr8xoSokdGjmUhJKkfA6mZRIKgZ7dvXT50Ugp8tEOCiQVI9QdTMFEMoPhogoykFSProgqIZUd/gdEORCGUI+GpKISCMjUa5CUIqR9dGUbQhlfp30Q4qAIZTHx0Q9QBDK5z66IciG7oRU/HtpsykIZUEknOpKMQhspBx31AVA1CZfkNSUcqGR9dNmtCmVBYY+WoSpG6GVB+miHIZUEr69tTMUwCEUx6HI0cyhQyvf0GdNnCWLIRXGM41M26bVBZcZOpnRhAZckY7HTZ0sbFBdSR3GDqByIQipGcjtpgUQgMvf46bMogso7k6AcoEBl9cY0+bdSJQWX4HOjnTEFBZT8Rpg7oiGoDL9e2iHKITIP10ZQATdlz8dEEoAKbRGR3HbXiS5ZlbHy7HQzKKxQaBcd00K/QB2xqZkXKukfLUzISqK+mRjRBTG+iuB27aJco4KsagKRVjGO2mzBGFWBqIwkgp1eWGXrxnpz3x+X6ahQITGvrYbesNRO5SAE+YfXpTH4seuAcenz1BfRO1s2TajvFPVzpSANFVBZWkjfCtGEcLkr8Ac5H0GnLDlzbKOZBWBv37CH2qlZDaK7KV7N0yRqrKVDkNnKd+lgBjBByMEF6XfUaffVM0TYrVL/AEtXaLVNcCovdJSQElZqfzJ6VekxqsyDPmw48wMSCUBLEMF6lvY8OdAsT8j6dD+fZBkAAO0+/wA1yvbVtse5uNL1snoXyqOrFx2+JJ4jLa4+oPSEyA4IUlAjg4kgliKkZONVeo5lQP3Ig636/wBxsQVaGnODPrHbXe4Xlty9v6svexOfKvlPan3DBaYLnPyBarbUeY0lVJb0poUBRcunu0dUlRGI0OJ0LZyB1mA0g1zDmP4ZtN5J/MXvpC6VJ2Z5psJaOtzEfqQQYH+ZlcRcm3y57R4y5YutDRxbMvVpiqaimjqvZkqameOGQRwxTEtPJIVwqu6lRTOMymYOcuMosBNIG409L9LCJv6jSCs4OYQ0GTF97D7077iF0bZ/J1GlbT8eWu90t9jtm5Lrbon6et5umV6gUkvUQRNFHJTh+xAHqq4JGTww7+YbS0ftPpP31d9GA4u1t8JAPz6KRcl9rNr3yrqrya6otNVNFTUkzBCkQLkJ8Qe6iXLHH4B8++UUw5kN13+/lZY8oeIbst3h3B5tDeJzBIs9FUmnlUggN+FhgkY/C65+R1nLLC9iFU2nzAdVi7PvCh3FYpLnZ2jrnhpo6kssqkM+TiMkE4YlHBB9D+7TPGXXSVbUw7mvDXWlZHbm7dv7rtBu9ku1vu1u62iMsEgZeoZBU/EMCGBBwQQR8NCtTcww4Qs7mmbfd4/MQtW3HbbZaLw98pbcKW5VwSlerplaf2tOkALWU47zIAvSHzlQB7y6vpVi5uUmR00j0Ox+7p2Mkei4Bfd9vQ2qr2atNuKx72VPa7KlTFUSQR1SKpNLT3IReVOis0fqeuVH6ChcEa6LcMZ8QRl3OlupG29ttdE1NwAzPudIFz/cnquccYVnKXI+1d0U1PxzS7c36N8Vn3jDuOthqae1vHIEneiMEjSiMH9oiyIuY50yq9Z1oqtosLDn5cu2t5127a7dkzalnl4k6RfKdIuRe1xbX5jCcteEGwbw3XtblFd+bY29y7bYaaOzNHtinFsiaOSab2OsKt7RLQysZ/OQOGGIpk6JYELW4TjIptyNaS0m5LrmwFhESLR8rgrPim1ql2ACBbWdRN+h6RFttRxOm21tvnHcHic2Fs3jraWwt3GzWqHkXZ9/kiqLZQ7gner6h5M8Xl1NJWU0fmpcKaSPzeqN8LI0sa63VXU2U3VHktDuVwBBLQB0OrTaCDuOhVVGoKk5pzEOEEyRMAdCAfqIMKHe59lczch/9qXgt3DuCm4erdsR1++rbva5U1yq7puG3RV/TJFFc1mp2nBjeOhq5pImMMC0pPtBljliudUptDcVdzRAyiIm5FoMSRMA3cSBEGUwIrkGk3krOGuaYFhazZgcokCGgE6gCWe0PGNxdyZxPHZr1Rbl3JQ7hWbYG39pQXxZL9fq+eHoFFFRySh0kRQzLJOEjhihmkldAj9OB+Dq589MDP5piwDZOYmD2JidgASRO8eCKRLnZWtFzEiTaALF0mbC53gCU38EaUW8ardXiC5atEdz5Tvlisdu3Bda9yKGO6mKOorIY6mWQI8FEBaaRQCAs61En4pcjbxd3hsbh6AhuYkdSLwYvdxLo/4gD1zYSnVc4VKr5c1sQNW7BsjSWjM6NXOJJIgCVFPyVDvHj+6X20JX7O49ttwvdklsctMjXGoqY6uSkBlWL9rFG0iOscODPKCC3vME1x3MDHtDyHPcG72E3joTGv4R6XHYp0z4jiASQbu001jsP6vlG/HPD5bLHunxNcqcnU8l4g4/jqJNh7DFOj08FJRUEUdRc6ql60Mb081yiqlRYB0xvQHGBIoGvEVXtw0uu5/OZ6TDAbzMEmTqHeq5rg51UgAQzl/+brv+UNad5Bnopkb35G2QbhFZbXuvdt8rpKY+3z2uGuurUFIzMhYRUULxlywKqDk9XwADMuTB4N7muLmAD4CTrEuNvhtedAb6QLG+I4gdJgXHW8wNx8N4WvUsV/s63e0cb8ZT2uzXQ0K0Uty6LBThlZllNYJmkrZZHIDHEMhlzhiPe1a9oJDq1QS0nTm6QGhoyiL7gD5KmniGuaXQXESN5J65iNNIN+wlbDs6mhs24LhDyNuinuFfTdNRBDA7Q0Kz1UqoVcMS81SXBReo9PSx6EGTjLUqhzYoCdr6wATbYCNTra5W2u5xbLGhoOvW287D0iTrJXRV35Rxci23ZEENJTK9DLJK/WVIZWCxQxoqlGIJkyOoFcL294aytoOdSdVN4/vefQLI6m1oAOpvHYRJ+oWZvV0lstPU7hoaRq1W8hq6np1UyzJ09KyJ1EAkAj3cjq6QMg+opjNFOesdJSsZJgrCbCuSXesu9wmo6eineaXz0aJVkE0Ajp2DHLZChVwQcEEEEg6trvd4YBMgaehJKavRa02m/X0+nVa1t/edBbN38s0csVVUz22sgNdDTwyO01VNCjxRxgjLyyJ0MFUBeklh8cX+CX0KZbuSBpsbk9huT6JarASL7T6AfcdZXR9oVdxqbbTtdpbOJ5IlmRaWpEpfqJLuRj0LN2wT2x8dZMQGgkN27fJLVaZmCtqjkjlDNG4cBmQ4+BBwR+8aqzWuq3NI1SiM/lpcyVI6Ox+emm6iQV9cjtoZuiKQVGMaYFBIKEfXRJUSSPgRqZpRSCo79u+pmUQuk6JKCQUHp30S6bpo3Q2XGfQ6bMjrZIKA49dAvKB6ofQfmNMXKITISfpqZ4TbIZX5d9HN1Q3uhFP36OZNskFD27Z1A5CbobLn6aaU0IRX17dtSUUIofpoz0UQiM9tQlFBKkeuNPmsohMnyxqB4RKEyn8jqSghMhH5aOZRDZcn0xoByKCynuD6acFQILKR+WpKIEoTKfUDUUgoLLn17HRBUhBZcYzjTBxRI2QSh+WjmQyoLLnvjvpsyEILLnUDk2VN2UEY0ZUI6ITJ9e2mLkxagMmASNHMla1BZMA/PRzlNFkBk7Z087IQVNkgHXilmLQBdWC/+OllLCrpz6aMogbquntgdtQlPlVdI1JQaCrlRjGNGU0FVj1zjUQcFWB8hqSUpar4B+GgjlVsA/DOjKGVNqmiiqkCuOiUAhJF7NGT8VPqNEORIharU7WuSyCW2bgmjjWCaJaepgWROp1UdXWvSyjK5I7g5PbVwrNiCE4qR5hMrhFztG89vV26hdy3szUqPBVyHot0cTQvBUeS/UxjlVUilKSiNCzHpYdTa6DHMc1uX++oIkfSRJ6p6dcZxbS5/wA/f7N75yltbbezLbums3ElfsWpb9kKSmcyW+VJQHiYx5KCOTrUqyk+oIPSc1Noue8tA5/znT5+q0MozP4YGp0jr+6fSXy/8X0Ox9t7pp933zc9XQSrMttphVBauNVbDtnzAGYdAd8Drx2GdFzW1HuNOIB3MW+gVNJ3is8V0AW6kaXvF/kB+SitzdLY9tX3a3K1kvHK2w7TYR0Xy11tsr4WtEdROrTVCARkNHAsTgw9RpvLlaWNRLBH19ag4EGnWAcToQReB66m1/NaDYmDQZUgGjldMmOtgB3+HZQ58btbsrdGx+CN58V8k0O46HkOReOtxVlgro7n7fSXONqqnaWp6wKcsKapWOcCI5VohG5lHRbRrPAfSeCAzmAIiI1/uL7dEjA1tTx3gcxygjeTlAbG41n6wsL4ZubLPujjvhvZc9t22vD229tUUN6u89TJU08qimjFNUUSiMxytPU0pRY8qFklVQwLdAj8O4Pe4znJsI1+xv023W+mGEBjIOonNpHmk9t9x8CuqcUcX8h0+87iu293UW47/VbgqNy1VuuNBNDb7pb4IaaNYpKqmUTJUzCZoQsgnPVHGp8zyD5dj6tEU7yMttiZJOxtAibRqTabx1eoSXQMpiIsYtJk73iTtadlN/kXelv3pctv09Vc5tjPbquiuDWuZ1N0k6WjnhZYGlEStHJA7Bm8zKrKAD7ynlYcCkSTzajtuDeJuCNI9UKdB3h8rZJ3/wAXv8B6rrdRuSk27tO8SXcW2lrK+pEUyR1DyqHZgghSUDqkZCRnA62DCTv1YFRGd4bT0H3MbfkIhUUWOe6Tt+X38tNlr1notqcQtydbbDSwUVrvc1ZcYqR38uFKvq6Kgr1HJLFzKY1yR0v6FtPVc+qxnUfkdP0HxTNaaj2lxnSfkPl+SJwralgsG6bfHXUtRZIN31qUqRRMn3iQIyyswLO/VIZlaSUlmaMfDOji3XYYvl+Qk/AegtukxNQl5MQYE/Lrv8NBouybqqaajsFdFUQrZa1q0PFH0YadVbqAjKHDMVGOxJXucdtYKZ5hNwqqIzExey0OuprfU2eWh3HQy7u25WVkdT5NxmWaC4DKhRVoECFSqiTLqyv7ue6lRpY9zXSyzh029Py6j5J2tBtO236f2/VRituztp8O773Pv3a9oprJxvcbyYL7UR3Gq8rYt1CJHLKyda9VBWJDSIHZxDSSxI4CxzMV7bcQ+vS8N5l8SLDmGsbwQZNhJBjVc11Q0nAOJLT1O99TrYWjrvuugy7hsdLvW1bPqts8s8qUlIsUFumt8LV9RbqxX6SlQRIlPCIRhjOzuVDsshUqvXTSoPfTdUAawm8mwjtNzOwAgxbor8TiXMYHF09QBvI2AmbzBjqFyvl+n5ts6bR5S4/8N254OfdtU09HSU9s3Dbq2Hd1sqZDUVFkukfnRBaepljd4qhDKaGpEboWQzRy3YV9J2ak+oCx0dRBAgOaSNR0MZhI1uMXE8NTd/1LHHM3TlPa1ie23raZjxzhyXZ+XducNcn26muEG4LHy5ta01m19y3CG0bh2hd7rPDa6qz10BMdSGlpat26kbEhgSoiMsbCVNGHwhpVRRtzNdcXBaA52YaixA9NDBsrfeKVWgajZMQbAgiCBGsAnNppcaysb4KuCLzvfkfdXio21vW0+ZtWW6ca7Y3DeKGKprd6rRX2qqbze2uMQjkK1U2LfE8iOUgpJWCssirocQxbKWFbRqBw8RrXEbNblhggzrd50nl3Vb8O2pjXQwHISL/1k30JEMbyCI5s/wAc59l1PX8v+Ebg7c9Gaap4Rkve46230FXWS091vV4F+uHnTVaANEKcTSqEiV+7p1YIMYWvibxRqSP93K0aWaMoFjrJveNDrMrdSxtMvqimLFzszv8A5GwBGkASZ7C2uO3/ALkn8Rt73h4WfDJxDtHbG9bVdFq75vimuEVBYtvXCOsiWpWkvlJHJUS32CRiRFDE7xSzwyVBTDRyX4JjmtGLxbyaUWEHmEGwbblIkEyGxmAJMRMfXoUCcLTl1UiY/puDLySQDo7KZLrSA0yurcu7C3NZeILHxpU7l2txdtuxyWX7u2lsa2zU8dNZ/N9lMZuEjNWPCSmS8C05kDsJM9UinOMXTrVzUIL3uJuSImJAyi3oCSBAhXcIwtZjGlvKGgyZzEmxJzECDckuyz33XZeM9ybIqKUbM21tuksO1qSGnYNW3v2esvEcFHl44yJ2naSKZ1jbzHAjRgMjKjVGMqOzGtUcCb2ABA5ovaAIvOpIVmHwx8NtRgdM63gZpJI9ZsAB1suoVF/t1daKf2S9S1N/lqWmtkxuDFIqbrWUSuQZRFGo6lMhwf8AhBBOMbCA7bKNdP7T1gfFaCx4JLm26RvEfP7K45d930lNyDuWuuL2Ox0dNYw9PLX1lWsy+ZIzeZO3R0ws6QoIogS4LOvuhio0spsFLLcmQLAEWFwL3IOp0tutIYTAmRrrE9CBEQOvoReJw+4ee4NjTcWVk1ZZbTapnuVJX3Rp4nWz0lMjsJ5TkpAonpY4HPYCWRwWynSB4JJe13SfU6CDvIJI6gCJmVU7DNdzbSAJ3mJJBvp8RuF0K8cmXe08Y2Xkex2KrqNvW2SkutXTrMrSewM6SVc0iMSoYRdcqgufL6gEDN7ogofzcjzfT6QAPiQDa99AgaTZc2ZJ3/LvEf3W78R7mt163dvC42ncVovWwrncKutthoFjZUEjxzRyOwBKpPFP1o3ZWVB37jNWIpllABwIcAJn4/lY/ErJXBMQLix3kwP1t6hB4kpG37unkXlKwV9urdoXS9imsNwpoGVVttLTx0zzxGQkSyTTQ1AWdQU9n8vyyoduqyu51Gk2jVF4kg2PNcC2gAhxFpOosElZzmk0z+GBrN9Tm00JgC8EdTKkpcJ7Zt201t2NNGsEUXV/s9OC8mSAqKEGWJJUAfHI/PXLl7zk1J/P71VNNmYgEwFex0lTSUXl18dLDcpXeqqEhPuiRzlsdgSAe2SMnHfUquBMN0FkpANxosuV7fHOdVyhCQQRnUCJYkEdsAnUlQBIKnRBRAlJIxoygWJGD/y6IcUSxIYd/XtqSpCRj17Y0Q5GAkdA7aOZANKERg9/XTSiWpLLnvoypHRCIx8MaEqABDK50ZUhDYAHOPpqSp2KGVz6flohyiGVI9RokowhFPU6hcQohFQfkdEvUhDK4Pro50UIqCc6OboohMuPUaOZGEJl+WNNKkITJ37jvoZkcqCwxjGjKKEUwO3fUmVIshEHuNQFTKhMPX0I+Ojm6JgBsgMuO+dNmlEDZCYZ+R1MyKCy4Pr30cykITLj00Q5RAcfHRDroZbIDKCM9gdNKkIDDOjmuiQglT6986OZSOiEy4+o0WuUhBZc/TRDuihCbuowf4aYOlGNlNhx2JGNeNL1lypAU+uM6WVIV+kj1A1Ad1I2Vun886IKZXC5+OhmUV+j176OZCFXR2GNQOgIwr9AOiHKK/SMdux1MyBCoLjPYaJeoQq6R8MDUzKQrFdQOUhaxeK2OB6gSpR1EUcfUAT1PGfiWjJ99cEY6fe9dWMBMIhuwUGfEFwHUchw0t246E/EO5Fr4LjX3K3tU0tLXSQnKi4W9SILhRszftOoRzMidKyID37WDxjo8OpzbCYkeh1B6C4B2lX03CmCWvI+RH166WhRe3TyLf7ZuThrYvL0W9tn3+mvdPZaS5WZWuljaOsjlcwQXZulpo5Gpo2SkrpIamGRafpSoKoT0Tg3NYajAC2J/pMjtFtbkAtN7hSljGlxBEPM2P4tvl6AHrbWXtsitm57RuO9WO4UVPvCJ5Hugr6FTcqSoRmWMvQVUcciq4VsskjqcZQufTn1KjgGB9mnSNL6wRb6fJNRxDc5awZoMHWO8wfpA+S8cftK+PYE4Lr5uFntzXyrulHIsdG0Ap4a2lu0OYqatJp5KOaqmd3ZKlJ4gx81YonkabXZwGIe6sKdfXvOhB1F7BtpBHQkiypxGGeMO+pQHygQRBN9+YACxE+i5vyTylS7wvvHe6PD/cn495ur7621Ny7HqlJbb/s1Kktv3JWw4eOGmFNIzCWEup80ilZmeWbULHuBFW1icwGoJILQdSZt1Ng6AIUwlX3dpayXCA3KSNbHSLD8RJkTcSSuweF7lva2xN37dt1LuCbkHdl3uF1aukr6Tzrq11AlWpniFPI0KJJVR3OnDTHDKYTGWLl9ZqlRxYRT5QANIiNQCYB0h2nWbBdd2ElsVzN+pF4uI0hvTYiZkgKZXK95445l2VJbt17NodwXNbVFW1NZDWGgqqBykk6Tw1cJV44agCPDNlJYVce80RAy4YPpkwYHcSNreo16gxYApjhMxADiCDsfgeulwdtfRYLjy8bjsu1au48pbnu29OLLrXUtVQ3v2VaG6We9QSR+TTXCnTy41AmFOwqWaOnkJmSYQq6ebfTw8v8A5YAeLwdIvJB7XtcixEnTNXxYcQwaRGYaRa3WTsBrotw5a8TvG+xt7RXDkDdtmsm+YVvFiqqWpqY/ZKCslSjq6yVUcdJp4qaoSXz2BaWJI0VQ7FTRToZqRZTkg5esmCQBAvJcIAA1NzCtZh25WPIAaCTBIEiDF56NzG8NEkqS3FklwsPEHF8e05bbRtQxyStQXCFKGorrhLU+dLDV/iWCVmecMvdkdHDFfexVjY8Uh4iwFrgACLdY+R2lYqQDy9x5sxmfWYgdIiPnC23lberbl4B3veq/bUtfUQ2SqrbhRB0Z6ONIpJI3BYxukxUoAyggnqGQPe1kFI06ljBkR3001EKzBU2+8tYDvr/iV5sUPic5WrKDj6+7V463Zu993BrRS0FVOLVX1FTFRSz9FcZ4wiTqADDWROyM8HS6Fz1Hsv4fzZHENOs3IFwNjcHca31hamCn4Yc6SBE6Te/aALzIhSo4csvPG4+Pq+33TZm2Zt5V01RTbneS+tT025K6JxBUtWxhJmipQuMLDKfP62jLCMt5gc+i2CX2GlpgbEaAk3sbAQb2jmVK1Nzs72Fpi4gbyQAdJFiTePW43PwnzXfg+73vg/lva1q2VcbruS6ybAudLXNU2u8WUTSNS2WnmcBoKyihToWhYBWp0R4DIElWOriLHVqTarHZsoGbqCfxHrM3d1sYtPH94YyqWE22noP206nUk3idl8slsulK8tdJLAI181Z0bBhKjPWAexxj0PYj9+vPsqlplbwXaN3Xz0/bA7js/wD2KbO8aux9lXTaPNnEW4rLXVF8q7NXU1BeLb7esf3dNUQxN7VTLUGjrYEmChJaYKjZlZH9Ngm1KZ8B7uV8iJBIJGsTYwTp6xYKivgxTYapgkXIBs4NMkG29xoddRK9A/Dfuja1Pxl4c+IOJTLYNqVWzaJhWSU0scFXQiiWQ3G2VUuPb2kZPMMkY6VaZWZlLBSOIsL6tTEVoIBsN4mACASQIgX17rRw/IygMrs7tjMyTJJ0A1Mx8xC89/BTT758QHh33FwjxAm4uOPDDZ99b52/dd2QVYtcu+qT+01wkgo9vTReZJT0RWojNXcQEf8AYmmpss8k8fSrmm008RiBL8jIaRNw0DM8WsIOVn4iZdDRfLhnmjWq0KMy2o8lwjlkyQ2fM+5BOjPNd5bl9HN18V3PifaFvtezq/ab23a1PFdrBaLPQCzx2egjeJbhJSNSZMiiBQskcimKUd2CPhhz6XEW162arJLjDi689LbX06bWWmnQp0qctYGtAjW83IzF3zkXJ1ub6Z4hYrFyLcK3duw7xd9j7i295kt23LJRzVtNS2tUDR2+NIvN9okqKZvaEiwYo1linkUyNHG9eANSmwF+h0A1LjE9IDTAJ1kFrdCRtIBHhEgyI1AABMkneDeBYujUASod7B35x1t6+827p3lLtTiPk662OFNzCru9NuO6XO4xO9KKuipeg1Iar9+Voj5RMUcD9ETYXXSrU3PoeHSMtzaMBDRI3IJHLG+aCbk3TB3hVm13tOUAklxAGUXBA7g2yxOgG5P4Qtu1G8OOtiXfkXaG5anjyigq7LYtzw7ZM0lyti03sxkjhkCC2xTCIx9flyyMrqFMIc9N2LfklwPM4A5S4WuCJve98oI0uTCWnjX1GhlJwgHUE3sbgARYdTF5AMyu9888M8ZWXiTe1Bwpuzd3HXJq09y3TTWaC4T28V0DSeVWs0QVJY6d0XyutWAVpIgBg65Da9bEPBqiRYTrE6dp3j1lW4QGgQ0Rl9ekEi86ehj5LSuLeFeMeS7nxrw7aqPf+4qrbApIuUZL5dauv9prqZStRbqiLz1iid5QWeMAo/SE6ZAszjqPrClnxRDQy4ZAFzoDJF4/MTYZQc9WpVNDw3VZeY0gDKTJ0kjMIm83kmSImfunfdstW8uMeBaE0FDSbvavNVHSO9LJZbZSxOtS+IlK/tVkgpoo26felkZSViOOHhafiZ6tTmFMT1BJiBruZJPQdSjWcaTQ5o5iYGn/AJXGjbablo3WM3fS2WTkHdnF+3Ky27U4p3Ftm3VW6K6MOlTAkTtRR2ynlXAiiqKaB1abr6olpisQLTB4tFAudT8SsC5zXSBHmLhJJG8EC34s0GGgyho1Bly2MOEgwWxFx/y5jB2iTeFJ202aZts0+3LdST0NJSUS0EVBTRR0tJRwBE8uFVj7riPpRYwT0Ad+wA1y69Yl5q1DJJkkmSTNz3vqVXSYykAymAGjQdtPvcq9Pcqq943HBS1lJt2lRa23PVrGYpR0gST9XXlVVPMC9YUdPU3YMDpnt8PlcbnXsOmmptMdh1VmQf7cX0+Ow+f19Fse2T97Tz7kW61lVTVESxU0EqRr0RKzHzMBQwD9SsAT+FYz6sdV1oYMkX316aeo37yNklU7DQdN/v7stxZPXAyNZs3VVNG6RjHwxpi5MEgoMdvXRDlCEjpPy1MyhSCudTMoksowMA6IcEUMjGiCpCGUH5aIKiQUIP01JUQyuTnONTPCiQUPwB0S5RDKg+udAFEoRUjGmBhSEgjOoHKFIKfLTeIpBQyAfqNDPdGDCEykE49NHMplKGQD8NTOoAhFceuNTOoGoTKDkgHOnndTL0QSo+OpmRCGVx6DRzJssIRUHuRnRDkwCCRnTEqFCZMdx6aBcgQgsvb6/wA9MHIgITL6jsfz0Qd1AIQGU+vfTAqAITgDB1JRhBYA4zoyiEEj1BGpMqQgsvr8tHMjCAy4B+OpKAagOvxA0Q5SEIqDo5k2VBZPj2xo5kC1BZcZOP8Aw0wcplQGXt29NEO6KbKamvHuMLKq0ocoq1C9SFWiHhRVqB4UVaGdRVpwVFWhKirUzKKtSVFWiCokO4jCkgnLBe3zJ1J2QJVGKNpFlaNGlAwrEAlfyPw0wcQoQtfu1WKi2yVdFLXxzQv1fsITI5IfpZCi9yDgg9PfGSPQaZkzCbL1i/VcV3FP/wBre395bZuqbdrrLJ1UF6sF8UlaWMqFeKoiYASQzIGdWbox1o6PkYG6nNFzXXB2I/Q9t/iCEuIw9IgMiR8L/wB9v0XlXtvjHxkbe25fePuOZeLuWbBZTXUdop79v6en3Jsi50jH2SGkuUkDLNEpdEehrDjySE9pmRgdd91bDF2Yuyl0SMhyuBFzA0P/ACG+jQqMVXfTcHCk57BJzAtLoJmI3BHprzOOiglzty7vXxick8e8BHhOs2tzltRqKr33bLzQex3bb89Ky0MULXFFnSvo6u4V1NNHNRiRPJidutC2rKOEfSzOc/8AlmSI8pm8gWPK0OmYvAWscQwtRjWRD3G4JggC99ruytETMzFjBOdfCT4mLftraHiE4X3VDcqjjcXKoodqVkNZWbmntTS1DvHBcKanhSbyDWTXOCmqY6hfNVVSRBJKjXUhTc4UnkgmNLASADcmQYGUkR1INlzMdiadGH0myQTOYeYDSQJBG4B00tNo7+FHxC+GykrOULr7NZdnUm4NrNuSzwWaGaho7zNZHo6e3Na6qnVYVqn9orKmpqmPVHUFneKONWcvi/FIAfd03kTBMh0jZrRDQAJj8RJhdDh4woqB9MwHAjUaC8iJzOJkwDEGMpiVKrcW97vsbbHh72DSrXbS33um5JvLc9ngiluVPX0vs1NTUtdSVa5zRU4jp1COuOinMoLKdYK7peS64aCAdLkkmZuCZO4IBA1C7FAhkhsFzoGUmSA0WDYtE66ySdtfRfjzf+z7zcaXiC18a2zkK5V9jenrrNT08U1uIqJiTLJNUytLAiJ7Ikqz/jjCKFbK6xtzkl+fKARzdCL6AQbzEXlXYxoYwVHkk6gSZI0ibbT0AXiXyP4d6/hrlvjSLe+4rzetmw74tGy937otxmnqNrVEd3kiigq5YVE8lJUolOsMXmEQuz9b9cdIT2WVRUOcSRBcBpPLt3G56aC7lxMVTJpNcQROlwYlwImxtERa9geUBexewqDm/j/jre23t88mbV5Z2JS3oXuwVF33BNFdLBY5KCeWRHqDTSrUUiEo0Mucx5PUSUZlxvp4ckOYC10EaEgmQBvIMkj07a9BniisTlsYvyjQ7+UbaC51JWo3fkjmBt/1PDvK/GWxPELapbM9XVtad7U9LS29CsKVArY5DEprEXzlChQSssrKg8pi1dGm0A1cO4Ng6lp6kiLO1tcbAbFTFVIA/lOg6AZbiIvmLYF+t5Cwv/azzBsywbOod9cScxbmskPIqXy4181PDuEUlolmy8slbRM61EaQz1CRwezK6p5ZZj5bE6hhA6plpuEhpbYxeDs68kxJmBe2izVMYxlE1XNLZiAW6XH9PKAL3Bup07Q5b2i162zT8V70423nZ62znb1vpbBcZDJFVUrKKd6nK+7LmWSHyikZwVYgojFefXpOcHNqAhwOYyIiZmL9BM9upvBSBcHk8hncHuYi0aTcmSBrZdg5BsWx9y7Ordnb8hbem17nSSwV9I8vlzTVq/tVqKdh/czxzBminQjyZY0kVl6ATjw1Z1OpnpcsaHoNL9iNeo2ukrYXxmFrhv8AL7+awPhu5ZuW8Nqbs4d33uU7i5R2RWSbN3DcZpR59466ZKm2XSTsMtXUEsc7Mo6PPSqUfgwL8fSY2o3EUxDH3A2BBhzfQHTeCFzcEwsc6kTLm3H/AGnT4jQ6QVFLx/cIw+Oq9UHg3t0iW+ktG363kTddXTVU6R0lxSGrotsUjmJlBd7i01wKn/1dsGRhwdaeEvGHpux77wQ1o6kw53yYI9XD0TYxxytwgmKpvtyNjNeNC4tA2OVw1C8xKXdHiJ3tyZwP4dPB1XUmwts86cTVPJF4uMdIqtwJb5CtLuNLEq+4ZKupZjBDmNKa4POygrJ0R92pTp56pxd20iM1/ONWNM/Im5y+i5VPHeBToik0F7nEMm+R7QMznQLgTIboTEyCQvpg4W47444U4d4z4s4qtFNtjjHbtlorNZKON8rS0ccSrEGb/E7dmZj3Z3Zj3Y68dxLGVa+IdVrGXk3/AGHpoOwXRwWCGHpCi2THXUncnudSuTc77k2DtSXcO795bVtiR7foKSQXSWOANJHV1UcBjWQlSo8wwI6yOkfTIGY9IOrcFUquApMfZxiJtMGNbfQnpddbD4ZgLXjzGeuw7dp/svCXwUcM7F5Bo91Q7Wt19p5rvf8Aed43DcLtuq7S7Io61rzU0ltt9ktsNVTx1aR0dFMYwojgJUAyn3Ydesq1Qyk11QDytjlbncSAXE5py3IuRIk2JkrC7E1m16ngl0ZzYOOVgaYAJAm9yQwk2/DIK9fuMPClw5S7ZgsVLuup3RTxU8UNRS0CwWSzUtRT+ZEv/o+3CGJ5UZXV/OknkLd3Y9KjXGx/GHudnyW2LpcTppmsB/2tAGymGwz6Dsw5ZuQLGdZJMvMzqXdI3XNuTadfD/vKy3amtVgo+F75Xxw71oq69VkFLa6qupGpqeuFLMxh9neaJYKkB2DdcbDuJCUpvdVaRPMAcpyzMHMRPWJy2BntC6dB7dW3dNzaYFpBsZJIEnQSblcR3byfUcgbF3JZJN8bF4c4921E0e4XF5NsutQPYEqUttBR9EYp40V6EVD95c1FRBEsLx+cNTKDWPD6hLqjiYBBcJzAZnG9g6QALHLJdBgvTID/AAsM0hoAGYRYXuJkBxbzc1mgizjpJ7hHjmq2tsm3cTcL8kSXqqpqdK++XeKmpWsdtq5hK0j0xgjWWonaR3kRBM7BFHmzAuGejGV2PdnrNLWCwknMQALQeUCIkwBewOixYcsokvewF75JAtdxJlxuYmReXGL9VhbRyNsrjznfeVPJvDa8q2LastTva5VEEa+wiGYSpNPK4jhidYaqBHRyip5yAFih1INTCl34S4ZQNyQWwNSZPqSWm1wrMThHPxFNwiS0gA2MS10jo0QTPQiTdE2NbeZuYd67y5Hs15sHE3Ge6ZLXJZqbdO2JqrcFXb6OCRaerNI80UFvDvPUzxQsHlRRBJIOtmRLXsp4VgpVZL2lxIaRAJABBdBJMAB0WuWg2lZaeN8aH0mNcwDLJLocJJJAsSCTAJs6J8pCmpSbFu9dtqj28/INVT2JYzE7WGjjpJalcnqzUyPO46yW6mQhmJb3hnXJOMYKni5JNtTYRpYBsgbA27FPUc4g2hx3uSD1vafUFZE7borXWUlPeb/f7/ZZo0g9kuckUsCyRsDGelI0BJz09JDDKp2GO6nGFxLqbQ12siZvrqT6/NMZc2AAPS1vvvp1WzU1dFJfr3b/ACVjMENPI8nb3+sOST8e3SPnn9NZTAph07n6QkLIAWSpp46qmgqomV4pEDqQcgg/I6XeCg4ahGK+uQRqAypAQimATnUzXhFIxj1GNFRWKjHoNCUIQiuNFFIKg+ujNoUQyh+GNQOUCTg/I6gdCMbobKcADGoHQZUAQyCPUamZFDZfiPXRzHRQi0oZHroFxRaEMqMghRoh0JwIQiPpqAoyksAdHOlhCIwe41A47poQig747aIcpCGy/MDUzIkILL+o04KkIZXOT8dQuvCkIRB9fTRBQAQmX5eujmRQSoI9BoyohFfodHMohMvxAGmzGJUhBZc/Dvo5lEFh8MdtRrpRCCy/DGRo5kYMoLJ8tPmUyoTL279tDMoL6ILLjt3xogokpu6+ucY0c6aAgsB3xohyMJuy/HT5roG6GwyPTUJRhBIwdGVEBgPTGNMHXUm11NFlPc68e5c1rtlQXP1+egSiXJfSPlnUlJmSCuPlqApw5JwflqSmkK/T2yNBDMq6fnkaMqZlXTpsxUDlfoOM6EoZ1QUnBx20cxCheFp9/wB1UG2o6m43Od4qCmTrrgsbSNBGchJcL38vPYt3x9MHVrWF1hqVZTYXGBusJvbfG3dt0NNe6+80lFbaS7xUlXN5yhQe4ZSfmCV7evy9RkMBNhurcPhalR2UC5H7LT75zztC227bt2db1TU9VXtRzrJROJLevkPIJ54zgrACEDP6L1AHB1a2i6SD06jrGvXp1VzcA8kj00m8/DpdaraOYEvO8ptu2qKJLlO6NTOatIvbadI5nlKU75eWRDGqsF9FdT1eoBawFpJOn7genz7rQ/BgUxUOn0k6XtG53WT3tR3G411DLfr9x1Zb1LAtIkJtE1VVSxsTgGUVMeV6sgJ3VfMbJOTrZRqUgMsOcPUAfVp+dlyhQq5s9Gw3J39LiPrPZRv2lx/vHZ+5dybz2jdeKN2VNTLBLf6SSy1lDXikSl9mgQsKioWonhNF05SMOQuVDZCttdUovAYS5ovHlMmZtZpAvuY9Fuq1n54c2x0hx06uBFydrjovM37QjeHJ8u+Ni+JzgPZFxqPEDxwsd92xNsu8TbiO/rP1QxXCx1NI9JiAyU1YrxSftHVkiDqehfK6nDsE/wAN1CoDkdY8uWNbzN4jQd4Os4MbhWsb4zNR1LRmAuYAkgkT6kDsVLmxeKXYW7fD9tnxDcM8mbY55L0Md1qIZKCmorpdqNGKvFLUNPCaKro3d40jeIeSUMQAWQtrnPYRUNB7C0AxrYT6gzmiTe/wW7BUjVIqsIaxwMXMzcwABfuIvqbr50fGbd9q8LbguW++CdtbNsvBNxrqnf20p2qo7pcdlzVTzUm46EqoWeCip6ynFYRFLLTxzywwyfsappV6lCv4jhmcMwgOA30LXdL6CYJ1GkHDUo+A05mmNQTLQNnC0wIMnpcEAOtL7hng/jvm+r4suW89zpuinoNzX62b8C1E8u2am4pSVdVTJZvIqICKaRKljVx5dVzSxIqKVd2di2MYagE25ZiTBAMzMQdNM1ySdFUKVapUaxjsjuUHLIgETqIEnQC4ZaASpe8RcI0vHO16KtsW56Hc236TY0lPVbXsVA9pFFWTQxxz1gVJhFCivEHVqlvOkaKWUTxRyxnWbHYhpLnEXmQXCbagabzo2wBggmV6fA0qtHw6bYDQYMG5NgdbkgAa72BsQuX0HLvJHiC27DwONtbH3VS7jltMd6sFiremShWpoFc+XVSpT0lNX0lXZp6mJU6pTMsbrJIEfOg0nYdwxGYyJhzrD53JBBiwiNhZc3EVKdbPTczLJExd0SQSQNO+cg79Suh8A86eJvlifdlk3DYdp8T7jsUXk7ytFTUwxT2mptlXHJUzm3KqsPbjO9R7PJKIlSqdyWikHVmxVGi3nc6QTaLgyIAnTlG9zYWlX8Pc4htPw5IETIknWbXgjSB6kajsnhEsNl5ZTkqep5h3dZuNNqVdTaqX+xASzUFxu8LTdUFTcYkLVLwRTR+U9OYhMs7rKXeHoAr12sa2q5mZ7ojNMAWuGzoTa9hFheUmML21fAw5a0gmYAc68ESSIHUm52JEL0KuPDUPFZguGyL1aLfZaq8UldcLrcaOne5mRmkbNVWLEvtgZ5Io1WYq/VgGQgLjmOx3iwxwNrAA27QJt9RCTD1nVB/M5nQb6ToNNoHRQU8XGz7RYa3aXivvu0qiwbxod/WCXc9xs9M3UdqyTSUdRcLk9Liaeighq5pD5oLUhR5E8tWJbo4InMMLMgh2ptmiQADuSALa73sFe2nSBqUxBbGmpuAZibAEmdo1MKTNBytsLc9Fvy67I5ipNv11vhmo7jT1FVR3Skoh0pLSTzUvniNqYwVXmJLDJEJ4QjB3UkjmxDYqN5ZFxY9DeNexBg7BbG03Pe3LckSJkaidLG9jrJXmz4tfEhQcBcgbE8S1Je5KKi2ffIdt7kq025cUtm5rP7TC3TJV1XlU0jwlpKmiYMz9clTArdFQ/mdjC0i8ZCCGu7t5TcTAlwkkB1ha5uBGLEmnTa6oLVA2TqQR0kWkaiXWMCLqbvgH5Tg3RuzxW+IJ7jtG+7W31yfXWqy7ttU7T2+5WmyUkFto5ErcBWV6hLoUkICuS5UsCCcWOa/3ahRJ0bmjeXuMW18oB63E6rG6hTrYms5o8uVg9A0F3UWc4gwYkHWCoR+E3cg4m+3o8UXA24L/AEFZtNuLqy67BpxStFSWelud5hvVypaeXBBiNVNVzA91BZ4xjo6dWurvq8LfUfqCwH0aHNH0IHWLrBiqGTHU6TAeZpcBqczoDp/8ZAHVeqG2fE7S724/tq8HbEk5goUq6qjnvs08lk2rTvHPKrM10qYwKxF6R7lvjqWkAz1opDGgcOLYq4l4pggETdxsNGC/pmyt7ldbE1Gmu+nTJc8G4bci4Fz5W7zJJBtkKjxzrYNkQ8UeI3mPxj0d68SvH1tt1TUUlrWmlpbDM1ErdFJbLQhPRWNWddNBVVctRUO7wtEU9BrbWfTNOjgW5ajiIm7+YgCToARBIYBAnMSgMOKgyV35WBpztb5csEuLjq8gCSJDZEADRdZ8B3hf3RwD4aOFtjck3KrvHKd6rqzeG8Vq5faJKevuFbLcp6JZpQZZUh86KjaQnLeQH9XA0nFsXT8cso3ZTAaD1LRGa2knmA9Fy+EGo6g+pVblLySBuATyg6CQ3tqTEL0IrrPTWmO5VVrssU1LUvJVV9PToqGaTpyZVVfxSsQM47k+9kkYPA8YmMx0sPvot7ABZeZ32gPiH4g4Wt3GH/adunal8s1zq3++7FW+dVSVtigp5bhLOtLTxzTGNmpFpyzoqYnYF+2NdPhdBznuLBoDFh5tGiTAmXSL7fFdHDz4ZBORptJtAM5u5gA6epXjzyXyFbuN+EvDPPyxZ7ts3kq02yn33yfX7rSS0XK63KSop6+LatHc5l8qvq5faJK6WIeY7rkt1CUI3qq2GLsWRTu1kNaG80uFi4gSQ1hgToCbXlcfhWOp1sKarYirLpJiKZmCSQ0Fz8uWJktbEABeldbyvuBuOaLnze1pt3hP4yqpKhbnWw1jT3zfMlTORGtks8SiWKSaGHohllp2uLeaOinUKJdcqphmMeKTj4tQgQyOgnndeBeXAOygeZ7bhb8HjvEa4UWljWmS4iGt2kWEkm4LgATYNqGx2Xwq+GWh5Jtlg3hy1xDsvaVosTpX2Ljkmlq6OjrXIqhW32ZOsVtTH56eTTDrhpnBmeSqq+qoTRj+LnD/AO0+X6ZxMACxDBA1i77W5WBrPNzsTQOIgPltF0kg+d8/1m0A2cWyS43qaNYz16hn82CJ6ajjMh95WDKY/eOS3WPUEjOfU4+evHk3WnL1RKyant1DLLhKeGNGIKqAqdicnHYDOgXSoxhJgLA1tfS1llmZpxJVRMqlYuoFZwewA9cEgj6gnTEw626sZTIN1zWiuNdet01FfLLcbba54ZKZaR6V1kmSGQB0Eh93yuvzf2vu9ShVUn1GjKGN6mx/Yn4bddVqeAGANiRv3I/P5xcrtqZaNCyopwOynsB9PprMSueAksVDBGOG6S3c/DQTQrFcEjv+7RkpZSCM6AMJgkFO3YnOjKkJBGM6OYowkFR2wBqZkQ1D6SfQfD9+oSVISGGfTH66gemIlDKHUDkIQyue3pqZk0IZTHx02YoZSUIrnOpmRBSCp7n4amdQBDK50Q5OEMp+78tTMlAQyB37DUlEhCZcfXRBTEJBUH10ZUKCV+GM6JKOVDZc99TNspkKEy/PuNNmRIQ2X699EOJRyoDKO50S5DKEIgE57jUDkIuhMgAOiHI5UFlzj5amdRrUFlB0cyOVAZfUfu0xdKmVBKgHGdSUQEJx+7RDlIQWAwck40Q5SEAjvqZ0YQWXv9NNmUCAVxnt21M6iEVznv30wcogMudWFwRhAde3f+GpnMqBTPIzryhIXIBVYwMDtoTupKvqEoKtSVFWpKirRUVEZ1FFWooq1FEKWaOEBpGCgnGpKIC57cbnZ9xXi5bLuVJWRyyU8nRJ5TxjpBxlZlIPvAkjB/wtn5GxjoAd9/JaRScxoqtKiTvHZlfW025tvbVmtO4JrZdXr6vbVQ4C1srdDeY8jYg8uZMYil6AGCdMiAd99DENBDnmJETsNfjI7T3BXUFRwhxFjBne2wGvZecnIdw3PQXa/wDKCWfkOz8R0FZDdBtW6Weqq4KhWBL+TRwiaeh646h4ulRNBP2lEkTZLdSnQIAykZzaQQCY63AMRqII0IhM7iTXEUSCSBcwbXIkmLzeWkXJETZce8P1dYuMfFFyRyRuHZfJXFtXV5vW3rJWUjz5tNXSpTtSu4zTuXlENT5yuYGcuA6tISa69N5plpg9SCImQdR00uJ3hWCvTqAMa6RaAZGkjym4JOg6yB0XpON68q3Tm3b2xaC6bZNptG3I79uKZ6iUVdJa5x/skVQvS6TFpmlVZFdWMdJ1NhmGsxoUvDc+8gwO5+m1z6wgK1JjGtyznNriwGpE31EbyT2Ut+P7fBfbDSVO7rtUzXq5KzzmmuJkiozCqfgR4x5LGSUnBBbpEZJPYDNWcASGDTtBv8e3zlYMS5zakssBp3/cd1naug31DBe4du3y1brmhSmpaP7xLUFVTxt0lmjqY0ZfMUpE/U0WGZFDdIGdRjqZjMSAbncSNJEgxc7yO6yVC2RmZe8xpfsdfSQvAjxibf5t8AnI26PEFwb4cbPyj4U92XF63m/YlJafNS31wX9tuOzwvIq07SpIxqhG3s8z08UjOjmV19Bha5xDAzPD2jlMiSOh6xtN76G05cRSo0aorsZmaSZBEkTHMJECdxpFwoML4LuJfGVbPCpzptO6WCl29vCx7qlrKfbURtMzLT09tqYKB0pRIjVeZR7Y6BuhlljWNhB1S7BWhrvEBdGXW+riO1hEDQnUkSANjnsxRD6PIy9hAhpadROriJgyBpBkrzn5t8JXLvhE5q4t2NwzScw7+493ZvCams2y4aqejrpWgR2ktsNRVU0CymogWVAGQSjEXusSua2hlQh1QwRrMfOxdEHaYPzXOqtxOAAdROZrjYNOYgkX1DQZ62O69Y/Bb4v+VLxsqwb43rwvztvTwR2S011ugq7XZ6hXqam118scibuipUnZQ8lQka0jGWOSSmD1LLEVcGlhqhe4jKKh0ki0iBlkiTYmQBlnlBK0HidBzWtJc2XHnDTmLhd03JaA20zLoImJXrrcOYdjbn3HxRtzbnCV55L2HuPZNferbZ7ZZqK8UcVfTOlLAtBVUk0lFDEJLhUsZlmRKd+o9SAtjnMpYjnOcBwIBJdETM5s0HRuhBLhFittOrh2DKZbFwQCLDKQAADLrgQNBqVCPYFikj5R8XXJG2OPfJ3NZH2ttKGybqpaqOvsN3TatKa+tqIoVLTRoXVorgvmvUrEghleMBj0OIVMrGNpugPLjI0yl1gL2n+m0TLoWvhdcvrvfUvAE31MugOkGbQCbgCQAdFIDw4eK2Cw7q37w9W8PbzpaS7XOroKuhhjobhZLXdYrZbwsdXXGRhTvUxoalxNEmHDu/v9WufjPErhtUOgjQ3FszpgRfLpYkdNVaOGUc5DxEwTIMmw1iNZtMGLQF3e0ty3um8VUlw2zyBv3iukv9HW7et9Ikdvr6ieGHIuklRU1RFbbYJcCKCSJJZcR1HvqsUeoMlK8gVLiTsOkC4e4SNSGi1nSQ+Kc3yGAwCHQM03nKLAEaSethI1x28fF5xlt7ctqfm+t3XtpZ9w23aVvt+5Ns1NoFTU+3RNNOvWjRilaaeJGlaaQfsekg5IdKeDqwPCZIubEOjlIFx8SBAuR0shfRFMlr8siZkg3iBeCTFtALkqA/je8MtRxJxDcPFJ4X7htjcvGa3E3Xf+yLZaI7laY6Y1bvNW2aGIxRy0bvTJNV2iRjTyGJ5qdIZg6y9DCcWbXIoVXFpEQ4mLx+KZhwk5XASJgyNOT7g7DVy9lOWkGBcuAgSBu6dDpbSN5b3GLivmLhvk/b+4tkbQrPDvvrajmj3LTX6Or2vumskpnX2un6kf9vGqR1AecQlHiIRpTEGGF5ezmzXadIOYCbz0G03JnvftUTTq5GEklwkgwRBiADO/9ItEWGigD4K7nb/BjtDf3gE5e39ZZtv7BuVJv7al7v0sVopN1bLrkarp3xPIkSGCuSop5nVpFBnT1HTjfjqrXOZXYCDJb1IcLDSSbG0QTHdYvZ7C1KTamFzZoEiP6Sb30kHWbC211x7d+56TxefabeLzetPHyttzi+g4P29bI7HDZ5bVcuQLfJcW9jiYKfaqO3VLuJHj6EqaqFVgVF9oAeYCg6lhXNqAOeKgtIcAY1I0LmiYbMBxl1mmENWcfRbh35WimZdcSMxJyG1ibeJEZcxbs5e/3Btk46tPHvF3FVntO4ty7ModqUEdJX1ErwQQU8cYhSkqlHlxrI3SyhPwRtE4ypRBrjcQrVJq1DAdO+/cHW0TO891to03NZTDLA2gDQa6baxAE7HefN+n39yh4nrh9mlsK+S3+j2Fdt0UG7mtUrPF97rtyNK+43O5lnaSupZaye1UNN1ARNJ7RVHrzTMO9QoU8NVq1hGZjSf+0OGRgAtBMl53DQABJcsHEaoe19KiTzOyuN7w4ucAYiGNbBDfM90Ew2D9B1PvC3xVMtjr6inG46eCN5Ih6ydfmKpjHqwYxeg9Opc68bfLmHlH+Upw7iM40J+5+aiPdfF5Lve/b4438MW2rbzJyBbqgxVt8r6/2LZ+2pSD0w1l1RZDVVa9JZrfSJJMoPTK9P8AiHVo8KcaIr13eHTIsYlzv+xtpH/IwzudEmJ/lVBTIzPtLBZw08xginM2zS+IIpkEFeA32h20OZ9geHWz3XcPI/DNh3jNaawbgusm3a97lvjc94np6GkjZKyR4qeSWSAxqsPX7HSBuiIRque7hXsrYinRpZgJY1rbQIOYkxePxPNi42m4WjEUH0aFXEVAHPAcXEmwGUtDWiBaXZWNcTzHNrJU1Lfx9tvw1793ZYd+bu2t4pfF9utaSO5bTsNrqRuC83euCyVdJbPOqJILPYY4xSIaypijj6Ij50nWFTWili24lpo4NpZTYbkkBsAk5qhABkkkhgJP9Iddcyo6qyi3GcSa245QJe1sQwCmw+cgCCRFyC4tbcdeunhZuNdW2Pkjnm2Vke9FimWl2/aFaLbWwrVUq0MtksksPQXqXWGKGW6dpp1bDJTwdMesv8TYwkUDmG7neZxF/KZhgNwzsJLnLfgS+pyvgAeVo1bsHF1pfBNx5JIpxcmWlsuVDtrYdNu6y2mtt+2qid6fymrpYIRHJLKsDBWK+fPMFGBMgReuJRhQpPHrvJPhvPN1gHvH/EDci5v6LqUKYe/JOmka2sfgNAAfXqpXW6W81Nism5aGaqjiCq5pnj63npeggBu4w5OWDZxhh2A9MLyGvIcuYQ3yfXv+y1fcnI9hkv8At2lW6W+osElNFWVucMhhkmEUIZgcL+3Vsk9sRupGe+mw9N0kmxFh6wT+X5hX08MTTIA5r73ga/RNd/3OtsAod6q8dRtIXYLeEasSEQ04c9NQ7kH3FaPJAww6vUgFdJRLYibxI9Y0jqdtvzQogumnF9P33Hx7Cy5nxNyBSbuh2lUxXG9UlxltlLJWUlbEGW3VVbUSyrBIyAKkpSNm8tjkdS9h+HWutQDJsIsPWGyYnWJ1GiuxDTLiNDJ9QLT6fp2upAHf1htVNb4K+dKdvLnWRi46IvJdYypYnJY9QKr6sAcfDWBzCbi4t8Z6fqszMM57iAPvr/dIW/CoqJJpJAAVZI0Vj0O8rgRqTjBKp0scHJ6sgHGdPki2/wBk/fqpk2/zYfqV0JVcRqHcSPjuwGOo/PGqS/os4b1SSnYY/jo51AxJKkflqZ+qYN6JBGfTGjmQyoZXtkeupm6KZUjGoTGqgCQVH5aGZNCGRkeh0Q5SENlz6DUzIoZGDo5ggENlz6aOZFDKnt276k9FEgrnRlRCIx2OpKiGVBydEORQiPX1GjmRIQSpGNHOpEpBAIxoZk0dUJlIznTBwTyhOvx+OmBUF0Ij0BGoChCCVxjtnQzJkMjscabMogFQe2pmhRCYEds6gKkIDr+ZGoCogso7nvps2yMdUEj4Htoh6mVBK4PcEaJeoUNlyfX/AMNTMgE2ZPjnvpsyMIDLnJzoyiWoJBz3OmBKWENlPc47amZEoLj89EPUiEBlyNO110VMrXlJ6riqtTMoq0CVFWoCoq0cyirRzqKtDMoq0Q9RVpi6FFjbrbY7pSNTtUT0kgIeOaIgNC49GGexx8j2Px0ucbp2PymQoX8x8ZbvvDWK/bH39cNhV1srzWLWyMnsfkufNEbnpPTCzLHkyZUK7FR+LXRp4ikRD2z6Tt97brp0MS4jISbjaDOxsdx/lRZ3jScl2+dmt3O+3IjdbjU3WvnprdHDDUQzoUQQ1JdljghdpveTMiRnKu/QAIxtMmADAteddTYXk9NNrLuuqlzi1rAHACBqQB66zuTPoov8b8fx88Wem31uHkvek9n2b97UVsuO1t/1tfVzRKXgNaFZOilo36SiwlY5qrqhEq/s1RuzUqigPDawHNEgtjuATeXdrhtzrpie19QtHkdMgy2JvIbHmEyS6YtaASTyvjrw08/00dx2/Dy3yrxJxsm4XvUPIN3s9LXWxKaoZ2ntl0tNXDNT0rFoaeV4S5pBJTRSGZJD5I0UfDdztbmnYO5pGhBB5rSJAnYA6rnY93guays8Z4J05SJuADlI2tM6kGDBtvrZfjz8Gt92rum9bB2p4quCK6ul2vb71s66NDdobM9vimSrrIJI5JTCtTSSVS09LU1EeEnjhgQezhYwUK5JpOyu1LXDQzFjoTBgkgHc7rGzipY7JWYXaXb3uZaYygHpNjroFIjibxoW/eF6u/HXG/F3L9p5MpJTIl0o7zaLo9VTsoboloqmsp6iUBfPMjvEirGIZIyQ8esFTAmS15b6cwj45YHbWSYO66tWuKsv8zQNwCJ3jK5xnSR0kyu58f8AjkuWx9lRU3iV25eOGrzb5pkuFdvKgq7Vb9xqk7wq1Bcpo1plqmCjriaTo6ukQs6uGWmvwmpmmlzN2yw6JG4BJi+vzWem+lVguIDyNNI/8svwGvVTYsF8pNxU1+r7hb5aulaCqjmsW4YBTSGkZx58ohmUxVsTKY0LpmP3mVZH6yDl8NwjLra4uO0EafG/YKqpldlpdb29PgQvACLgyt+yS8T1n5WsdUm8vs9NyXi4WvatCblPSUXCG671UUazPUQ95GttX7AKRHiHTTPMgkHvl39KMacZh3MP+5bMIBJDZNh1kyZI6hcNmF92r5Yik6+1nRlEu/pvA13la94+7rvzdXhbbxUW7imv29VbG3zR8w1F6So+57nDcqSRKSrjmhYzzp00c3moJGgLGjOQQxzVg8rX+CXC4yRrY+gi51ubFd/ixApElp5YcBtyRpMEixvluRHVc/Xkk+AnfXJfNFJttr34SeQbhZN4W63W+8xqNl3KqanofvydHVfbKKujDTecqeZRzVUUzowmaVFdSFZjaYtUFtOt8oOxAgX2BAOxlKrUo1nVwZov1IveIzGDGVzrmDeNIUmfF1sPeNl8V3Hm6fCrynt/wpeKWagmmt71ElLUWLcgNuFU9Dd6aNWhrWlkbs4iNWzZYOIwCKaGKDsM73g52je9gCBynoL6nKN+isxOCzhjKTS2bA6B0k2Im1wLtudAvP3f29vFRHa99eMfifdm1ucueqSpsdZuizV0b2bcd2sQp/KktaWON2o7zZom8yahuEcYlEVRI8TSJJNBrfVbQpsZQJLWyYm8aGc0S1xGrSNgDFisWXFNq1K9OkCQIcGyAIJkQZk6uzBwMzrF54+CG6yeJDa1p3/tfcvKuxOB77uO6TzXe7WqC4XO910nn0dbb4vMVoaG1+UtNHNHLE0rzI5WOGN1aSkkUGBzmjMG6AxacwJNzOa4AIHUk2GltX3kF1B0HMDcQJADYaLTAkZjoRYauXsDab/Lxlbafb9lvu+eZ9u0lI9JQV9XQUntvtQgWpWoq69TGskcat5RKw9YwFIcjpPJxL2vJq5Qyds1oFjAuZJ6nW+8q/C4J5ptZUIzE3MHcwBAs22gECIUZvFtvDbNr4Q2fc7bdk3ZR7uudsFvpqKrM9uv1YGNT7QJoiJCnTQ18riIO0TwRe6oKsLcNSLcVliInUXaNNN4BGsAybqyg41aLgdWxPrIOWRYToDuJtaFA3nTw2Hb0VBwDuo2d7xdNy00dtvW38WOqu1kInr6iZ6aieDqqI4YrhElKxkGWSYNUBuhdTMW10FskAEkOvEWiTOstEiANIGq2YWmchqkEOmOUkNuY0kCGiS4kEm8wAsX4ZYN9+HrbfOOxOQLtt/k7w43C1U+5t0batLSuKawSJGKnclHFTsvQaOeWOmvtqhjTzQxrolLyyQzb30aWIaL/wAwGAT12aZvBv4bjYEBukEeXqVKuBr08zTlM6RvuBEAkai4vNpgx28SdVwduzmj7Mvd11ue09yWfaa8g7FoatLv7VUV1ZbbHDNSiKvmSfzZjV1tHLSlVmDOwYZMmVuw7HltU0pzVGhwAGknKbCOjg7QATMCU+JYx76FOsQclTmJgghzXPuDAIgMN5kwI0BX4TNj+Irjr7YxrVv3iyz8X8s714CpbzRWm3VUVPZZ6m3yQwe1+ZIsrtJBGJY+pVabzw7hgrK4pfVY3DVQ58tzC/QGZAAiAdNQMpvuDRisXSOPpOqyGuZlIN8zmmWgkGLSC7USIjLC9ceN6em5Km37cZbpyLY+DHt1yvN/3PUu4uG9LashlmS2QxuTQWjDApWnNVVpUS+zdCP7Q2HFPZh6ZzsBIiG9D1ed3dGCBAGe3KfSVsTWqVG06Lg05omwAOkMtDjrmceVhs0EgFvm5R+I3ZfH3jUruOdtcd8wcp7r2VxpsuybUtW2dv117FntU8dffamhUjpgociewwCOqmjEcNDGGLLH23ZK1WnUIAzFzsxJaAS1rWAkkx5s5kA3NhdcoVcJhsQykXkU8ssABJIe++gJILWtEyJEQRqpY2r/AM47xO+JnaVy542/suj4YlgjpKvjvau4amWz000TIy1G57lCkTXGeL2iQtQ0+KSQMGLTxxiR8VMUMK1zmODnC+Yt018jXa6QHOuNYaSAuo5tZ9EM56QOwLfEMkWLhPhzplHcFzrx6ZcLwW2xcb7G2VYv7GbYtkdmeWkoLba1tlq9jTLvFCIQRTI3UroYyOgOXGR2OXi+IFTEPc4uN9Tc9pH3pG65fD8I+lhWnwwH7gGYcT9e5Mkncr5s/GfdN3eNPxn1/HFTv+88OcI8QXRdpXHc9BEI7nu/c08NDILdRJNG8UFXSU9H1TVCK5p4mll/AzhOvw1pEYksM1CcoFpAcS50i+UGLWkgBV8XzVf+ga8BtMZ3nzAZ2wxoBsXHMYJkAEmV7X8C7C494TslVdeLKpbtyNuWme83LkDdVVU3O8bulpnhMtbdKt2kkmkMQcRqWAhRukJG2UGXHY11RpaeWmyBlaBAzdI3/q1JIiTBK3YDhgp5fFGZ7rEz0FgDAhg/CAA3cCLmUu6OWLNbeN75dq+8Rmj6WuFbU08LGAQvOZGFT1H9kHWKaIHJQZz290a4DcoguEAWv1g/vfddEYMmsGgenwAEj89p67qFj8l2bcI29w7Zdw7fvlDYqiz3mVKBBcLfLT+1wxwTm4F0hmSmT2hVJdj7RHEvSwAfXfoMzVRVMg3A2nlMwCJ5rRA0cTayjqWVriRzGZk8wAOhAmDPmmLDqV6Mxby3jLRbyuwti2ujiukcdM89WzFYmp4+lmVIwqF2cjpDEKcdJPVgccU2NDZMk6279Se2sXkrKMNTztZ22/ydOh6Sou8v36bZ28uVbjPVbRoNuGK2XS5Q1XnVlNV0ziog9kpKdEMkxaWT2l44lLhiMK3mYFuHcHU2ls2JiNZgGdfwgWJN+tlfhmDK3rBgm0QZudp8o/wtEtHJfI/KXH3GNDx6lRZoJ9u0k9LdLqYk/tAlbS1cjSPSlJegSrBI0bsPxv04AXzBfjMK1lR5qmALQDcAAWJkXuPTWdi+FewNFWzy4yYmLEC0gSBPabCJkCO3hY3RdLFxruPalo2HyDuy2Wfel3qaW5ewLWK70VTUNTVklZUzRF6pTDOAtO86SgzOGBDpHurSaVJ5cAMu5As4CYA2cIJJAgEaiSshcxuJqNfLnSWnLJ0IJBGgykhp3lsQLBKr+a7tyBy3dqm0bjlte17JPUWr2VrfU0s1IlwqBMKlDNGYjWO0zxRxzOo8pg4bD9S0soimAXbwJkRy3AsdIALjrsdweo2mS00hE6n4gCdJMCYAEE+gj1X2Bua03W6UT0cs+4w0JuFIKctOZ8MqPOAhIUKZCque8hkc56VXHNe05TFv0B9dzGmwF7lcrF0SAM9p+Gn5xv05QFvVt31VVe7UouimFqqonenAYNJ5cCkyTPgkKjFlRcE5ZT379s/hQx0m4/WAB66n0VFWlDQQD0+f7fqt3tt6WptFbWVR8poZp4GY9gegt0tkgDuAO47ZPrqh9ojdR9OHQO31WYo5fPpaZ3KGUxKzAEHuQPlqPIBsqiE4KDOe4/LS5kAhkEZ+miXIwkFc/loz0UjdDKkZ+OpMBHKhsuT39dDMpCQUPfRBUyoZXUJhCEMqRkj00cyMbofSMHAxoSgAhlCB+mmzJo2QyM49NQuKmUoRUD4jTZlIQ2XJPpo5rJoQSProh4Ri0JDL64A0cyh7oTLntjOiHKBBZSO/bGpKMILr8f6amYbooRUHGdGVAhFSO39NGVEMr1fEaAdCJEIDAHI0c26kITKB2ONHOpCAU79tHOmg7oTKSfQ6OaE1oQWX4HtpsyIQWX44GBoZlCgMvx0cykILJn6aMox0QGUZ79safMgBuEJl+YGoHqaoDJ+o0cykJuyEemma6CoBaFMY/nryxcuCq+eoXQoq1JJUVaUv6KKtNmUVaOZRVqZgoq0ZUVakqJjX1U1HD58MazsCAEDBWZj+EKT26icYBxn56k9EzWzY6KKG4N90thqLuzbNtbyUVWaWiqbfVqKoiXu49kCySlwRIvkBHLFCQFBB1qotc85A6ZvppGh2+c6arvtweZoJcYiTN2/A2HS9tQLqMPN/BOyt9G38h8m8fWjaFzgmiqqumrNxyWm3UcMEZElwdIJc1caJLKGaQUzlSe/uoD2MLiAx2WQ8kR5cxk6ASLEkWgu9CZCGHl4NOgSI0LTE7xbTobEa7cyipb/DZsbZfFnJ26+P/C3vzfXIzzC7bZ3DZautal3Nd5JGng9usdXXQSNCjTRw9Uqs1SJnnKq5wnXdi3tcKTHNZsQQ3MIEHmykdTE8oGX15NSo2pUnEOmk67occpFzFjM/1Frcs+Uwtd8OG6tkb6t9ypOGOVL1Z+QdrIslZtnija1PspqipjAnq6an+8Vlrq8GVpIJoSpx09XoBqnEV30+XEMJB0NQmCBYEBgaBa85tO6avg6VZgLIbeDl5yCZs7OXNABiOUGbQASmtRxDwt4p7PuS38Y+ILxU8MbNo6ikv7Xat3vXRyybjEsksc72oyezrSGalErGFaaWYUz+QESbzpK/eS1xdiKDHHQgDQdCdSYOhmxGbSFofgKjKLaVGoTUcSQQBBy//EAXF4AaDYSZhl4cfCtc9zbPufIPEu+r/wADeKnYG4btxxuraVbeG3Pte80L3COuoeuVzHchb2pp6GsoZ4p0aHrDBCyzBjisTRaRRcJa8Bwc3lcDBBlplszIcCOt9FzKLq7qxqEWaDyuG3TMBPcaxpGymzY+X+ZrXxZd+NfFp4eeW94UiXasstbu/im10m69v3dY52Q/7AwNziBwY5FnopUdw5DMpBOYcNDXCphqjSYBAccjr6bgDtD5iEK/EGmqW1qYaCLhwLgAROwvYyQWgDvqoveDnm3wl3jkfe/hI4/3fvPaK7Ur6DcW0bTT1+4tpVEdjkibzacW24NTSrNSzxShkiSSPyZ4kZiqDp1cXOIptbWrsEukGWtN9uYSCIIvOot3s4UKdXMzDPa5sSIIdv6G3Yn4KXvjl8O/JG7+L6zbXFu663e53Rcotv3vbO9o4rjabtaJ4JY7gKupCJVRR+yq6+YJHkVhF5eH6Nc7A4tjnZ4yFgkEE9bWMg8xEAR3srcI4DNSqgODtojpYRG0m9oHwXyv8l+I3kHw++BrxcfZ0+JzZF0bkGs2zchx7f6+4jz9x2OS+iiUp50onq7lRzJVxGPy5KiWGOMsiCMZ6zaM16eIY4ZCWzHWJ7xIg6wCTcqjFcQdSpVMPVzZ2teAdZblIEkwTE9JMCBde8925D4D5G4s8OnDlJabpy9s247bqtp2qltVmN5uFdt6SywQSwlaUmanB6kppZKiNfLmlGJFc9KcvPXdVqvZ5gZIkCIdYmY62jULucOw+GoYRjajgKbmtaC6YJDSNIMwBJ0jcLz58Hdelkr9qeGPxN2Tdk9w49v11vd8m3FfEq6xdqT2txZ6qSaNkkWCWmqLfbxEJGR6ujmTpy0iDqYkGPGpgXAEC/PmEgDrMns2+wScOqOc/wB3zONQGGk25IMGbmABBMC5ANzaX+9/C1a937w5C3b4Vt47S23yWFudpoaiqlq7rHXQ1kcU8Fpu5lZZqK2OZHi66Z4GoqgUs0bITMmswqBrTTxAIBubBvUF1/Md7zmEiDYrXi6jg6nWFy2I32mBl0FiYEkbRofG7weeIre3g48Re5eH9y7KbhviXebUe3rtZLnfoYLntrcD2KeWgvtNUxienklrIqdKCR+lBU1EVNM6QyVBOt+PpGraxcJywDBgglsWO8gbXGy83w6qaFdjSC1jozZjffnv1IILrSRO8L3/ANrcv+Jm08U0vIzcJ3nfO4WWO8VcFwulst1L7VUUsKR0tRRLVSmieQSrVZcqYnfocN5fWvJx2BaH+E17RAjUu6yQcsEDS3eNb+nwePZXbJpuAOggNJAvuQ6TpDtomDIELuXt0bI2zxtYL9zvx9uyi3nRU9ZaaO9LQ098j3JU3B4KetmN6tk58u5e0h5qUuKeWRykHTLTmQx9OnXeHuGHhzCAIbbKBJaC1wBIjWZGriQYnLmlrTiR4T5zHNABc1sHLGcCActogRF7rMbC5L8R/KW9uAd8Xq5JyLxlV7e/tEu2p7bBXXafbMNPTwVVRdK+J4Gp1qZpZAIjGrI9JUxqzr1MaRTZSFQi0a3IaHHygT5iBJ1MiDA0Re11UU/DIZfK10cx3JgAtBENAIEtJNyV1raW5uL/ABFcu7jqrlxPuCssu1LnLYV38m8K2wVVluUjyCShs8zCnq6qoKCMTU/mPB5UMJHUfcOOpUdRw2Z0BrtA5s5gBEkXAaP6rGSYHTTVpeLiG0WE5qYOYsjlcYkE2mRNoO2YlfPre9t7Y+z2+0q8Gtql5l3LuDwd0tdd907PkqZ1pKiywXCOenqaepmdFSTzJEpwJSSXp3hjZ06T0dbD1c/iOc3K8tAIvHURBncyOs67+Xr4I0MZQw1SoPCzkyQDDvKZMAdgYtoIXqj44juLlz7WL7Ma5znenEtq5D2pftpJuGuqIYamt2/UKGNNBHTPIYJzHPUIZ3UJ11ikdQiBWvhjGUWVQ+IbDiAZki8GYtIAImYB6q3ib3U34atSiZeNPKS0Am8y4zIiwtN5ClJ44vGDw1wVZ9yPx3c75v8AsdDTyPcajaNG1bZIOiGoFdapq2N2gi6reJZVp0LtEaNWVT5YzzMPTrkipVZYkQXQM1wQQDBMuIEjXMvT030KDW03nK9jTDQCSwQAJAEttOsEgabKG22vBdztZOL+IN73KzbD4/5Q5YudVvHd9YldNN7DV3VaipENyjpIgRQw00dLQ08PmdMPRI74JJXuYuM7qLTmbSEeWbiMxEkcxcZJiwygbTxeA13vonG0m5H1HHUkcujGgieVrI6EuPTSVV621beEaLgniGexQ3kV9PJY6ilNzqB93TQMqw18tbJMEhUSrVyjzEleHyicyrFG6cgVg57sQwhpF5iwt6GTEExEzaC6/q6ZLKfguzEExZ3MSZMC4MSQ0X2ANgQu8eILxJJ4XfCvuTmyuWj3DylatqQbYsbUVdldw7quM0UNEYlljVUpneoiqVhRBiGbLIfRaa1M4ysKFEFviuAEzIEcxNySR1JsQRYlczDsZgsMauLILaQLnC0QNGiIF3csnVaP4f8AjDbHh18PK8I3Pd8t5v3H9LW7hv25amVXe/b1r3qBX3y1VAlM8VRBV1DQiaMFY2icO3SWOuni8Uap8agIa4BjRN8g0JGkOiTJE7Bcbh3DWTkxnNVc7O8kEQ6xLSTYwCAAdnCI207ijm6p5E8RfIPAnItveE22726lWTbVNTtTXq/1Lf7PfIMRRx2+O4Ukc8zRuTG1RTzsWX3Q9TKLBTFU6gnUkZWi5aTvECIuAe9uox/gk0w2IF977GBOpJBn+kbLlPLOxN8c28+cgb52BR7Y/wDM3s9rgtVypr3cKqmTc0lc9QValmhE8T08c1Eq9c0CisWpRW66dxI1GGmk018ReoTygiSIEgmbiZECSRAJhwyjb4tQPZh6YOSDmuBJJyuiDHLcONhchpNyp0bbXbF/4Y473+914Vt/JFnv1uNztUl5o45LAWnpYqiywy0xWGgCBYad6fAVXgl7EMWFr6oFcsklpJBIl2YkO5iTd1zI2iB65MGwhmUUy1uWwjKAARFvQH4n0Uz6DkWo5J3XuHbuyLNSwbFjs7U91vBCR0y9HRHDTjzOr9shSTqEaSRJgAsesAc1zIpmriDF7Dcm5J9L7lvQaEpadEUxTygucSd5jWd9zpqdzFphJU7hvW6ObJajbFutO6eOqG8xDZ1tC+y113qYaWmlrr3bEOUe2L5qpGaljJM71jIxUw9XSw7XsZnPK53xhpMNzGwDnGIaBZoE3JhnVGvbzg5QLumxdeWi/NlEy4EDNAA5ebmvj45gtVitG+NiNy1xpt17NFb7luPdxs0FNBx/PNVey3GjIknD1spoq6V4rbAskySTGSR6fMeRw9rHFrzmyZojUvHYAHVzQ0uMNAESSCFhmqymTSZzZSQc3K0AAhziSA0QSWzzOMQMpkB4T2dwjuTaO2L1ufjTmbe1W1bJU7dsN027V0ltskDVlXS0MFsttNTw0VJD5PVM5WDzy0/Qsg6+o769fEOfmaLkDM6Q50wC6XEkwIhoGVu5AAtXw/BMp0YbVimHEgDlAAcTmixLnTJc5zz+Igk37TxrsbZe9PFBzFZ7iKev4X2dabJerosFoipae33Q22QS0VXUR4cMKZaJlDSPIAjeYw90NgxGPjBnEOu4ucGkmZ0mLX5pkARtc6anUjSc3D0Ya5wbLRrq7KSN7QRproApj8d7H2VbNu0N625AvH23KmhcpHbZXMtXNNFHO/tFUxWdshuzBwFCL0yBe2sGMxj3yysc2W0WAEGLD166k3BJThpY8lgkkySbk6gdRpYAA20Cdcd3u41m59ybkltQXYEFfDSWy4MscNNV08MMbSSR9zLKodjGHkUK8ilVPYFqsSC2mHZpe7MY1I1A7Cdt4uRCerldFFsyAJ9Tf8rkDT5rauGY3rNiWYVFZXxx1cgv9VTRJHIaypmVJDFFIAfMhEj5aZiAzDC+4CxtxzMj4F8oyjt3PS2g13NyAsuJqZnudaXEidYA17TFoEgC2ukirJZjbRPLUP51wlLM5yThOosAfgTljlvj8OwGuW+oDZun39/msznZvv7/ALLNlkUOzMoVfxE/4e2e+q5spGyt2K5XuCMjUKYAIZUj56IKGXok4/Q6kyE2VCK5+epMKBqQe/w0ZKkIZGTgAdtQORCGe/w0Q6FIQmHfPfRDtkUjRDt0IQ2Ge+P3amaCjEIRHr8DolyACEw+ef10cyMIZX5akqQhEEeoxpiZUQ2Uk5GpmKMITD5jTZlIQSD27EDUDlEJgB8BnULrqQhMB3B7jRzIjW6Cy4PyGpmUjqhMO+dEO6poQWBI7Y1M6OVBYYz2A/XRzogbIDDHfRzJpQmGiHIEILD1+ejKhCCy/PI0cyLR1TdhgkfDUlQ9kJl+OmLkcpQmGR8dHNshlTdgMHP6aMpiEBh69tTN0U2UwWXtn1GvMrzqtqKK/wDHUlRXwfU5zqSoqI9fTUCiTohRXxnQlRXx2yR21JUVuk/no5iosNdaAVcc4ajoZo3h8p2kZgenPdSFGSvx+h/fohx6q2m+CDuuXrsPYUF1S8Wmx2u7b3ESQG4wJ0V0ESkFUFUMOkQKZ6Gchsdw3prX73ULfDnk1jb/ACtD3PJzVLet/W28/cLH0/FtBVX+Lcu7Vk39fqapWWmkrYEljo6hVPSYCwHQIw7Krdh1O5Izgh24xzG5adu+nr8/yFtUcRXa9gpBoa36x+51PURss5vJrNTx7YtNaKm93Ce9UkbxQSEzec0juZHAK9SgeZ2b1AAAY9tVUiXElo0B+AiEMOHQ545QBI6bQP8AHdct5Z4m465WtVfszmTaPGe8Nm09KtXTVVXbR5tD0sCJRIPeglVo27xFSyuQO5I1qwfEKtJ80XGTaNj2jQ/EItwrX5ajQcwNr3nsdRrrNuq8Tubts83eH/kYb42BS8r7blqdySVy7KvLx35L05pYoKaNKyAm4LTYFbJmomqZKSKTqMMAjDJ16DWPAYYLiIlsgC8uN4aDGuWMxtJkz0atfK17qTs1MAS4gSQJAFpcRmIAJGXXYKOu1d4bh2Fz14dOZdz3vdvhx5M5C3WmwbnQ2a9W1LdvWx1NdUCyvJWyCao9toZzSCWCthpJlpa5ooeoKWO88O/kuYW5wwZpOblMc0gAQHCYMuBcJJ6c7G4xrqpd/ts8lgCXiwEGMpIOzQC0EyLL3hu/C3L11pLjLs/xAcsDbcVXJUfdtIbbC91uLVEkzFKmejmmo0MjxtLGC3qwVF6SNcZmOokjxaYmwEl0AAAXAc2e36qzIxjiJyl1yYBLdLNmREAgSLWIIlR65C+zfuXPuwKTbfL3iB5Su3KVovE9/wBqbpoL9TyTbYmSNoUeNZbaGlidCIJ6YsIZ40UFE6zjTR43RpctKkPDOo5xO+mcidwdvguVieGudiBiXVHAiI5acyb6hoMGbi4O8rnnEUvio4b5t2l4d/Gr4kL+t+3HLU2Ph3fFn2daZNr7u/YpPPbJ4DCJ7TeClMzrSSzNFNDGwp53YPGNL6eFdh3VaDMwmXAuOZvSbQWydQNYkC00Hi9dtRzHNaDbqAYGouepsZ3MnbyT+2W4Ds1Nsfa+y/Ehbtv2ao2jui7br2pumyW2e2We/bdujRLW22hri7+x3O31Ukty9gl83zo4A0bv1zFL8DVY/wDmUXEghrbwSHzAJA2ItmEDaBAVnFSMUwjENh4MzJnKAcxnqYm5mwK3/wCzU5PvG0+R/EHsrlba+2dteNDaVHNW7w6Y4Tddw1Fshp6a91MbHBmSso6fb9/j6epJJmrChcyvqvHn+QKTPJsPWS35OzMPQEAxCt4bXa6u11ZwJPLOgJ0DtrOaQRG9ypH+Lyg35tO78Ffal7dvFt3DxPb9mbatnK20rdZJqaq3DtZpluNPcS4eUmrtUzpWqixmXoWdeogCJq6FbK52EBIdmJbJEBwBbBiLG4nQfMjoV6QzNxVECAHZjcksJBMToBAMWJEx1Mt131y940t032TjHaHF0VJa7TT2S77nuF1pjc6Oq9nnmZKWpo3lannZKqhlHUVXHS3SB0suI0GUqIbVqWcfLcjYbgSBcSJ6A9epSfh8M3xWMJ1iCNDoYGmgs65m9tPE7x4+H7xKU9HwVbtubV5LvfM/E13mrdh74p9rWKrkavgip1pbfc445p3vFOKe3wpFUQjzMRIstK0gQN1ximh/ih8tdrzGbkzls2JJMg9bOiY5OJ4f4+FENIcCHDlJiAIDxO+pLR3Mb+xP2cniz2V4t/DRb+dq3dvIFpv1ZE+yd37Ou1ZDV021b9TSZSCokjhhkjRgJTCarHuPEjF/LI1zeJUjSJohgAs4ETMaWkn4xOkiJR4ZjjizTq/ikzYA9SAO0i4v6KV3NvE+3927WvFtS4bbist1WSS/RUbU60d0R6X/APD69S6rUU9WrOJD1nyi5kiaFnVtctmM3JktmNdZ1HTLrpewM3XaoYdrpbk80XieUE7R8G6HebLwp8HtRybxJzj/AOZvyNuu/bGt27qzcW2eN99X65Uho6+zPHbZai1080yxr96BpaiSmnIJlaeeo6JKhJEk9I9zTRL3gAiC4Cdi4CRsDEHSAMogGRyqtXwKzg+S0HksTNg43aeY7wScxu6GghS/2RzpwDbuP77tmapquWuSa/aUFhodlbaEm564V9BUVdopZEigMlvtsrw0sVSZq6WJYhGkzMuHZan4evWJrMEiZzeVoBhzgXnppDQTcgTad5xVGkWUapLQHGQYvlNiGed+ZxAEAAu1iCvM37aaxbq2hR+CTxP820G0uOeO/vG/bGqbZY6Q7kvlPbqugirBLcqqsKQVcszwyhhTQJGizOySSlwNJTZRcX0AS5xANuQSHWDdTF9XGSRBAuuRxHE3bXqDkpuAJcA7zNIPK2wjLoC4jYwoL8i+EnmUeM37OnjbnrlDcF98Mt6vVs2nsW2XLcMNbcuPLLWFqyktFdURxezpVdBiBaLzYh5XkqzLAo11sBiKbK732LmgudqAXNbNjYkDraTeIcvP8WoVwyjMsoEw3lGcAmJyiYJjlkuLRHQr2c+1U4Y3N4nty+APwe8fbsssG5uRd13S5UV/uUytTWzZttosT3CSiiWnp4qfy27RwxxmaSQiORUJ6svCajn4p+JqgtFNoc7UumQQJJcSSYABMDVw6dz2oxDcHws4agBLntZAgCcpzGwAJg8x1EwLkr1I5GoXk4/u122tcd2c4ckWqG47fqtsVF2pqWK+SVM9IsiVUtIoNA0iJFDHLKHpzBKsTAph15XjudDcgaCQZMmIJImbG93RDiROoXew9OajX5gWsFoEAmPwzNxeADymSTJkwC3tcNxcpWk8abn2DtPjvkWq3Maq21d7Srs9NtmneNaOP74iCyR19FItXHQU8rNJTSA1Kly3TILKbKrMribazY635ejiRJ0cABa0HXVqUagLKbiTERN7G4MXhsnMBOYmx0UIOR+Sd6+MHlOwbD5U3fScQcYcDCTcW+7ja7pTU9xbeFRVVVNS0Lmqp0gars6LW1K+UjNJGkbxmNpImW7Btp0ScRmzF0MYLiZaC51iXQ6zTpcwTqFz8dWOLqMwdBmVo56ggEAAwxkEZQfxcxMgTBtM56jk7wweGbwsch33fvJdXeL1JPcaXYsFfWQT3i99FNGklPRzGITzeVVTzRg07u7vFH70pYEjFNxNTw6FJhLnXIAIPmAEjpAtIAv8uhh6bGVDiqz4pMBBc4t1guIEE85tN5N7dYTtwJzbztUcseIK0eGrxI8e73obdaWsk1JcoNk26ittKtPM1Pc6isqDdJqh1MtOZ6OCJYleTyU8qZ3fcyjTw7C17mGXXBObcggNaCCP+48xAzREDg4nHe9VKVbD57thoAgkESCXvIAI2DfKCYLzdSs4x29zh4xuEd1cY8f7+4j4Rt+9baJ75a6a31V8ulu2zb6uK2QW64XCsaKGJporbNFEIaLzHUVEpfy4mD56jcM0CpXJfBBMQ0Fz5dbzOJiCbgNAAILoC1Oq1m1A2nTyDyNmXRk5XOgBrRckS4uBdGURLhgLb4dbDxP4dub9vbc585wntO3Jai07XorHu1NvWujrqWmNdHNW+zUdK81Q0UMx6peuWUQ5bv0pqr+JU6j2VqtIXN82YkNBggDOQNrCwnXdX0uE1Kdb3elWyCDIApkuLhaXBkzJEkmCOoKn/Z+DuFr5tyjq+Orlz3vrYVVaaSGZr9undVZTbkgqpYJ0SjgSeFZvM9qkTzCRC3XjD5JF+KpVQ5zKtNrSXQBlZIgEAuzTFoNxNthKycJ4i3K0OrlxILjDrCbk5miJtbKcwGuwXF/EDxHuXw/+HHnCe27j5hroNm7TqauitW2d3XS2JaWlijp6OnmnqKlsdFQqyRCnMeQ/SFIyFyMJxDg2mG87gyXARJIuANSJBvPeNT0sViKTKYrOeWkZiIILiGtMgS0wCLdo8ywu1/AvxrcuO+GOB7U1XuyS+3fbdZufdKXu4TXW63CnaOtuNUtdPUKS4e21MpMaqiSVqhUaR+odB+Jiq5+WKTM0NgAQBAka/iaL3ImIauEMPkwZFZ5OIe0ZnEgkkuDj+EiLOOUERlzOmAvRzhO7cO+HngOyw7O4+uFNcLdcpLTZNtJLIJai4fe0lupqeLzXIwZig9obqYoWkPUQRrjVG4itUZTJEuAkxYAtzSYFgBMgdIWvHUQc40ptJ13i+pkuc4xGxJEwNMVZuFuP+E9u22k33FS888r1t5l3FuOz2my1VYlQap+urlo7NAsigKWidWqV65hAMkMwRdVTHPqf/igimwZQ4wDbSXGA0kjRpESdbk82jUcGuq1iKfiGDBgbw0nzO5eUkSLCwEKH9tvtw3DuTet+414Y3vxJthLZU1tXuO93KHbdmtFupR7THIKVmklkZelewhKTdIeQKUj8tMTXysy1qjSbG/M8nQQB1zDU22Mkz6rC1A4s8PNUBOUZRLRNiJMGOU3G5jyhSm2PXbj3vZuP7Lt2O53LYltlW2PW2un9istrkjpvOqLhVyTmN53BlLLGC5aaQdYiHmJqzFFtOq6o+wIJBJEwOUNYBIvEA6AaFxAXOo4inSpltNwNW0i5MuvBOwi7ov2uCpQ7X3fEthW18a7c3fuSigXyIHxFFTALjOJpGVZ5CuSz9TL1SdyD1Y5GIZUfD6kNJvc/QDYCwFrxaU76VMPmq8TvFz8YFusaxsLLeLJByjuKgs9+vFqsGwbxLbYIqihqJjXS08pw0oYwMIsgl1XpdwDgkkDBVzKFN5aXFwna31In6LMa1MCGAm51t6WufvZdDks8tVL13CtFRRnJkpViCxyMQoHXkksB0j3T2z6/LWRtUAyBf8lU15gDfqswTkkn10gdCcCFbHcHRzKQhFcZ1JGpRSCMjGpmCiQV7ep1M1lEPH79TOohsvqe+gHbohDI9NNnUQyn79NmUQ8amZGEhlznHrqB0KIWmlHKhMv5nQkpghkA6bMoWoRXHp3GhmupCEUHw7aYvULUIj4aJemDUFlwe3fSh53UhDKD8tMXoZUEj6A6gejAQWUZxps0aqQglfXGiHKBqCyj5aIdvKMdEEj56IeoEAjH00Q5SEFgfX11MwhHKZhAYDHy0cxTNEoLDt6afOEYlBK+vbvoF3RABBYepxpg9GEFwMevfUlNkQHHyzpsyMKXp9B8deZLl5hJ1A5RVo5lEvOf8WhmUVZ+B/hoT0UVZGPX+GnzXUVAjGc4GoXhRKBGMA9wNKDeVFXYd8/TTFyiSzIq5cqq5xnUzbqLHxBVjEVHBT0SM7AlABhsnPugd27E5P8AHTZiTdEti5usZer/AGPbtm+8bjURw21JUgLM3cMX6cD4ls98epwdLmJsrqOHfUeWt11UVOQuR4ZZ6rdGwrTyZuBKC4U8Sy2qiMtFWdSRl5THjrqRH1Ih8vPUGlX8Sgrsw9FzxBAE9TBH6Cdp7db9+nhhRblxJGhkau7AQD6wNLHQEJruHeL02+rRe95bR37Z9k7dn++qu41lpdre8widI64eRK5jWAdbuJQxVWWVujC6uoUXgfyyJdbVvxF4ubAR3F7rFXqUm0jSzS50DlDiYJiJy6E66D81vPI3GVJvw099u0lXW3aJSlv6J4J1pWlKx5gYr0RmUdKN5fvtE0gL4bSYetByAwDrr6wesfLsphca1jYaIGuhm2/W14J3iB0ze+fDtsXl/jjdvFHLNLf937GvFL7DXUdXdpJRUdLB46mL4U0sUgSWExgGB0Rk6Si4dnE3sqNqU4aW6R+R6zvOt5XKqvDgYDZN/KLeh1+Myb7kqB/CHL/MHC3NFf4T/EnuncXIXNVvt9RWbE3KVMX/AGx7NjZDJcOgDyP7TW8MsdZEnQ0sQWZFKzZj6WPoUn0xXw7YpuN/+Do8pMzkdqPlqFm4a45fBrEAj0AOnQTA/p6mekT+3PuCAtYLFa2qrbXVMUj0opGWIzU7JiQqxP8AeN1iVSQT1LnByTrgB5cZIn70t8tl38JhiAahIIGsif2FtCtC594PsPiT4r3fxByLSbnpLbWUsMsM1tenWusNxhZZaK70M3WWgr6aeOOeGQYwVKnILa24DH1MNWFWnBI1E2IOrTbQixXNxOFo1WAmN4Jn9oj5rzX4i3PaPHHwpyp4b/HNxVtTfHO/HW76DjrlLbFyVFortPPIpS/UqxEJSR11JURVEEkTs0Enm9LADv167hg6zauFs14Jae0HlJOsGxEXtKsoD3nD1MO93KB01gDIYkm9ztExqF80XiV4i3J9nl4+vC9R1W7t13m9HdibVtW8JaiMyb/4wr5I7fHHU1TMipdrbE9Va5vM6P2TW+bJC511GVqWJpGWw0ySNmuHNG/KbEHsRquRVFfCYmlVJ52kNEiZabdpyaa3BF19ePHEnF27+MtlcbXuhsF6sN529JBbKOhuNbc7ZVozTwPRVxiIE1O8aJKjSNH5vXMyEnGfL1Xl7nVReIJJAEWBtNgeg2svYvoPoT4ZIaHFp0BO0jW+zoDo0O6hj9lfxtbePOd+ffD5ujalvse5ONNu2So2pW14hnuG6NnV7VbWWpnjj6mZ6GnUWmR+pi3scI91u+u/xnFPfh21wfMSDGxAGa/cwQO5XBZVGCc7h7LAmRBgEX9Lgk3I7r0b8Rm1rxd6/jjb42lS1+y6y/tVV1TFGeu3QtR1geZqZWWZ1WadOkp0P1yg5yhbXBwTywve7QNPck2I7XjvYHqu3gajCyQTnBA1gRb8Wk27jQr5dPtd6O6eGfkKXx4eCzeF+4m5dvFLSW3mKybf9sRaKqWSJ7fuWGBlWmBcpFFJTVSkxyTUztGGczH0WAf4tHwq2jTykxf+ps6yJ1b3GwC85xTBYjA1DimXBF+kGwOW8xBuRlPWZUvPCZ4uOf8AmDZFJtg8V8W8+cb0Vkt183/urivctvFz3RFXzM0UlLQ3JIIae6SPB0XGCKSQwp1wAI5gcZalFtNzqhqWBhocHNEgaSJLmiZBMSYuRmXawuLqVG0w1hzkSHDmaGiwJbIDTrDSTlidYUNfGR4iN1x2j7Q+g2n4WN926JNmWS/Gwck0FvNXYqoy1lFcb2tlqJJKie0tTV5xPSvPHDUxLK3k+YEXVgsE9jaWZ4a4uIlp1aQLAgZc0jQwSDAkocU4m2tTe5jDUaxocA5pEOabAgkOiBJIG0WFz6QeFSXYnBG1uDuL+Jdy7Z23w7aeIrtXVc93tVTS0S3CK80kcVwnwlOayrlhheSRZCzRqxeQs0hUaMeDUe7xA6S5gHYEGQJmANzpNhuVz/ZnBMbh6fgMAeQ+TLZdpqRsTO4Ji8ABRP8A/KMIp968HeGLa22K2DmDkm68szRUltt3VUUdXM9okVUjgWFVfzW8ohAxCYZR1kyPrh8JLXPLWyAGm5sdQTvtcz6aABbeP0agwIFRkS5gDbGfNvMxED1NzoF4seO6l5B4f8Pnhe2/tncm/t57PornapdsX3cVOKWu2bfrdTSmoslQzp5lRAhuNJNTtMweFY6qEh0VGHVwuID6/iNbDr7zLSQARtsQ7WbEbrkcbZXwmAZSe4uaMsGLhwH4rAgEeUW0M6BfUf8AZt77qvHX4iebPHFyHs+wxbU2HsKz8G7Otq2vEiXCKOCu3RWRxYKhRWNHRqYhgxQDo7EBs+JxXu+Cy03EurPLp3yAkN/8jc311WV2EGLxVGmWjw6IvN2+K8DMADaGANAPqdyvSTkO8cZWfhPdnKtlvVZs+groJDG9DBIiX6SWqhip6SrpwqPLUPJJFGie5J1tKgYKX1xhUfVqNp+Z5IAk7mZgyRGsm4sCdF7PBYU0MQKTWgNYDNgAABdwj9Ooi8Ly1+0x3DxPxh4eOV6HdW2bRuDeNgta37fN8iqVr7dx/PNUQz0e3VeSbzKhqysUD7qDqs586rqPLgZNdijXfmFSkZphwDLXqPFpFvwi5dcMbA5nmDzWYljmObUJaXNcdxlpgXqGIADuUDd55GwGlw8BvAjVeJfd995r2xRca7I21y1uW4Q7xqbjY9m0st6pqO5wmX2H76rpvYbFTLErLCnl1NdGaeRIaZ5EyevSw7TTaC8lrTB5oBIvctBe506taIgyXNC4uAxlY1atR1MCpVh4BaXOA0bDXEMaAAeao4CbkPmF7ieFLwib2rt1bhh57vtHsm4VRtd0jrNoh9z7s3ZXW+uSWGju29rskhDU1WqSywU1LTxuYwQY0hMQzu4pRZTy0OYbAfy2NkEF2VpzutMOc8/1XkFdPF8IxFd7H1mtBEy6oTVeAbwAQ2m3NblaywOUXJJ7r4ja+Dw1ffXHnHvNvJVb4l77dRZNrUF23xPc5q+nrvMZLjerbLGYloAsczSsfKjCwsY3EiqdchtX3nKynTApgcxDTyht4DpN4mNSSdIldKlhXtPvleo5ztWtlpaXeUZWgNIAOv8ASAb7KCvC3iT314b/ABGc02as4bo+RYrDebhuDcdfx5Q0Vn23tl6ehoLfTXWWuljkEdvih86mmIapmSriqZI4nkSfq6JqCvhmudU5LgOcTfO5xMACZdAyhoEtBuAQqajvArGiaZD3gDKAXEhjA6DmeP6iXkmOZsxBC3zw/wBbuTxE3Pdl54t3Bt/kvY92qjXyzwUPte3KSsSoWKR6OjaKOomTzKo+Zcrj/tFUQz+wNEsYJLadJmR0ggAc1nXG4uGAAcrG5iN3tcSRe3FOrnO5rQxxkBsObykyJBBqO6uHh0xIa3MAZ9guAeC3o9jcZ7efxC+Im8V+1oKeGppGqfcppqcS08MheWgEs4j65SgY9OMOqgop1zquNYx7iKQEjU5twJ/HYxrve5uq8YxzWBrg3KJ/puNSLbTFhFxG0KPm8tibe8QfiJbblHzLva+eG/jq/ne3KVXetyGps943FS08M1utFenQiSwUNPQi5TxFxHGZLehUM7DWvB8RZSw7eIhjWkAtpxMzJzvEk3GYMaYJzF0HkXOx+Gr5v4a8czgMwDWg5DZrCdR4jiXECCWtJdIqBcGuXiq5N5Y8TO9PEZwpszb29drbd2tcNuT3653Fts7atdTLUwvS1d5q6tZHFxaLpmNPFHPNR0slOk6o9VIsZw/D8mGNKo7L4hbBPMbE5gxrZzR+JwgF4yNJLObUx1DxKdKiwuLATlETBaNXQ0Ma6Tkb5iMz8uV7CGezdp8n+Lu+bn4U37z3zjZFpN02/ctM+2LNPZZ+l5UnirYLermroaMVMVTLHcLtUDqieN6WkRnDJsp0qNBpeKXlkQ4gwINnHyB2UwabA+oTZzhBWDiNepWa2o8huYjmaDEg3DJBe+C3ztDKRNyXiFK7kvw97R44gsPh72Fx5svlvmDclTUbg+76O7XS0+x00k/l1d7ubS1NVBHGhlcLLKJJJqkxrEjt1dHNwmLdWfIIbTpxmLmtgA6NEAGXaBrRMSSQBK6n8TNKkar3PzOkDKZL3ACNTMCxcXOytEA6taes2/wYcS3KW3U/Onh14KrWoV9tjtO2rbRz2v8AZnphevWojjrbgEUKAkrGE4J8klAwsqcfeweJh6hLhuREE65AJa31u4bELC6i7EgsdIa4xdziXADRztIOpaABoCSF2XjHYvDl+usO3rDw/sjbFnjSequVt+6YaVkYSD2elkpMDMSqzS4ZMEGPsARnnVcdiGjNUeS4WBmb7meo0sfit9ZmSjyOMOtFwIiCbxEkR6KS1t4823ZJrcbRRfdVvpB009DB7lNG2fxCIYAOMDt27A4yNc12LcZkyTus/juyZNvv6LdldX6ukg4YqfoR6jWfOqlcjPb4ahcEWobY79jqZlaEjRzbplY9hn92hmlRBP0Gjm6qKxGdDOjCCfj2AGhmCgakH0+emzdE+WEMj8/nqZghllDIzjRlEidElgMdvXUDuiOSyFqSFNkJx3GjJUDUgjII02ZMQgH1Px0JUASGHb6aIdsjCCT8TokwiAhsDk5B0S5SLwgt8fhohyMdUHUzXUDd0Nx/189TMiQZQiM/lppTCdUA+upmUyILDB+WpKLWwgsPjjOmJCJBQWH79EFDLKAwzkamaEYKCR3I0c0oEIDDHr30+ZGEJgew9dQvULUEjP56ObooAgMMg+mmzowm7AHPp+mmY68qBS415tzl5dVpc4UVaJd0UVaBcFFWpnUVabMoq0Q5RXBI9DoSohSytFGzInmSYJVAcFzjOBn49tQuUAWqw3T2qSpoqinlqI2VjChp2xUqW97qyOkFfTpz39dMCdlqfTyw7T46frdco3xdN3bTVLnxxQ017qTOJJKO61ISlLO4V5WmHVKr9PWixqD1uUXA7ur0wHnKTl7/AKR+ZkQJK30aLHtPijsIseu9o3Jg/W/BbfNz1yzvK/07fcfGOy6ftVVUjF7rR18kRIjoqeN6qmZ0VVZ5JMriQGPr8xvL1soUWsz1HS46AXBiJk8pA6RJ6xF9VTGU8Pkp0qZeYuSQAGz6STO3LFpXQ9u+Fi3NbqNNy8j89XHcShxVVdDuyttdNVsZxUM5pqSQRxkPjpTJ6AXCNhmza/ibAbUmR3EnSNbT99AuPicdUL8wcBroAdbfina1hfUgErZajw8bMqeg0HJnP0tajSwySx8i3Or8rqiYN1QzSywA+8v44yBkDGDgg8YY7lNOn/4gH5gg/X6qhr8QzmJjTVjYN7fhEj47LnFNx54gdp2nbNJs7mbb3Ju2dqVdLU01o3paloa28wU9O8SJJeqDAUjqVjJJQye/EQR/j1pZicK8lz2lhcDcHMBP/F1//tv8Ej21KTHMawOe4RqRGhPUXjaLeq7rsHnCxbtvw2HuGyX3jXk4Uz1QsV4CkXGBApkntlbGTT3GBepSzwMXjDKZY4sgaxYnAuptztIc3qOvQjUHsQO0rO2sN/yj5g3H1G0zZc/8WPhq2/4nONn2ncLtuDYG8rRXQ7j2ZvWyRxvd9jbgpj1U9zt/Vnqce9FJAfcnhd4nDK2Bbw3iTsO8nVrrObsQdv1B2N0a+FZVAMw4afsZtHr3BsSoMeHLxV71ve5dz+FTxIbc2xtHxebXudBU3SosMLwWvcNDPI7Uu4LWe8n3fXSIIzB+Omq5Z6UgHyi+vH4IQKtAl1MgkTrb8JH9Q+RAmYXU4VWhxZXJDgIg7jSQSdIm+0DVTe413/yTurdO8Lbc9qLsWnpbgop2nmWrp7lQtTKyVPnELK4MgnXp7eWVKEno78qrTDQ0k6z8IOkdYhdPEUsO1m7iBHS8zaLdtJOsBQE+0F8BvI3M01bzt4Z910Vm8VVuaioZ4pap7ZY+QrPTVcdZFZrw8PvJLDInVTXAlpKaQ9Oeh2C9jhXEqbA2nWuwXBN8puCQNMp0cN9dQuRiw9rDUwwyOIgiTLhve8HdsC2twSDCXxV8ObW+138BPLexuLOPNy8feMTiy7z1440v12c7g2JuVOky0FU0zOTDWUomSmeNhTTlKV1YMpCbWF+FxIbVIyPEZh5SNiIiSDEnUXHrlxlehicKX3DrG4vJvHoJmdxewUyvspuTNp8leDXw4brt9q6tqXexU+z9w2eqpup9v7qtEsVHUW2dZWJzI4nqowy9QZmycuDrJxui6lXeDrqPQjbsBb5LXw3GOxFENjK9kySbxfm9S7W87x01Xxu/9ofE8XD/ANol4W6Jd/7x4op7jaL/ALYNT7PW7u2L7aUutpkndStSY3ghraXzCksM0LdLTB2QXYWvTdmwVU2fBB2zZeUjpMxuCOiOM4VXJdUAlwvYzOki+lgZgagdTMo+PPExZvElbuFOS9m119O3tzUVq3/Ty0lMtwpYbe1HIKW11DDEaPI9Q7PIpGZY5lBI8snGaBoGowxLJbrEkxcTcgaCQLQbGQutg6IqYWnWpEBrwYkXieYyJANhYkwLbEroHJfhK4n5t46ve2/EH/au5WO4W28UF+slFcpVp77BcDGstRU02DmrVwTFIrDyyE7kL7udmNbTdNIAm0E7RNgZi+8jWYhU4itVq1HUaQHhusB1GWACYkADYa95hfIJ4TPDrz/4V7nzXt228ybvg2zxTve42Tl/bMtqaoi2/s+5Uapb9429opB7TSy+z0k1WI0Lxfdq1KeYsDK3q8TQo4ljHNkZxLbxJBnJ1B6SYMkbhcThtWvw3EuY2CxrhY6wQRm3GnmnQ21Unftpdl7g3TsbmO40XFl23zNt3iza24bjvGi3NSXFbDO811qZXS5NIKipp6qmm8+Smp0EU6FJCuFTHOwNSoC1ocGjxCADImAyLdW2Ac426r0HEzQr4F9QBznBhhwAECSCNoBykOABMCCJXoJ9lvy7fuWWl4e5SXdfC3KOzttbd2vU2Ovvy3WKssFXb6iWS+UdSpEU1NXV0rxxxdMgjeNQ7sysNTiGHp0mGqwSHSZjplDW3vYSSRFpjqufguJVKlI0qtJudsWMS4k3JF+UAATmvABiQE6+0i2zxbZuWvskqW3VVlj4/HiSpc2Wk90UapQziokQxMW6DJGvShwFIKplW6Rl4VVLq1R1W58J221o+99StnFKdYUW0mNObxKdyTqc0CNBA1jQa7Lj326Gx+FLV9lxyzuLcNitz3SDf1DadizxOsklNcIK5YlcTBQVL0Ud08yPCnp/GS2NU8PqvFank3aS6xAAuY+ENg6SbKe0JFfD1m1rZWhw6lxiIE9XRNzE6BSr+y9p9veCD7NLhbcm+aSi2HQycfW/dcU8UTSTX/cN1eWuISNQ01RUyJW0NKkKqzOUCxKzYGtHH3mpjPBYMxBDAB0AAPzdmJPTWAsPs5w5rsAw5rOLnvJNmtMASdgA0fEgGUw3zx3yb4nOUuPtk79tm5/C74aJZq3dP3Q13kpN3XmGgdPJrbh7OfLsq1NTcB000XVWBIpWkmpyoQCrUw1AOr1i172jyi7G5uWC78ZDQZg5Ba7l16eLxNdraGGa8BxH8yBzEQ4ta112gENhzgXOvDGEAnyK8ZXJ21PGDetueGTwz8kcIcT+CXgncsN93buXpiprNuXc887eVS0kc8nk1zUdNTVdS1TLKYGxNIxfoRJOhgMUTGMxZdneMrB+IDVxAAOUXAENnQBsm3N4ngX1K9TA4NoLhlNVzjmHLZjHExncXXc3MJjmcMrlrfhC35DwT4hN/cj+GHirxWcp8ZpseHf+7dzx2Kjpp7zU01VVg3o3a5TU89DR1tJV3aN6nyhKxSnEVPCIsrtdTr+BUpVWhgaQMpMC4jK4AOJu1pyyTMlzuuapXwJxLKdI+Ka03jPmIcIcyS1pgGNAwNs2QZM0fEL4kN9cTQcO7svm1K/bXNF5qVSw7XsW7bXWbcoJayAxG0UNj2xU1V5qHkp3dmramB1dsBhAkgQZMPghWLmUC2q6OYgFziRcnma2m1gIgCbWJLtuhi+JilRDsXTeykCC0ODmASYbmqyXOeZkZW5fNAEZlHbhrmDmLxcxV+zuFuUKXwIpbrzHJuzkHlt7Z951V0WnqKaeksNreATRT0TNVQ9U1YRSqxDhJKllXTW4e3whUr5zSIIDWZiXTEku8oa7QkDm8okNJOXE8frVqzvdGNfWESXgNDADOTKXFznN8waQLy9wALVIXw8fZ52TYG4uV7dfuQeMfEXxLsK1UkFXW3O+vd6mqtcME8scVDboZobfQxPU1k5aZWkqI5Z5URwzzSyYa3EQGZ6QLHuNgG3mzQC5wJMAABoyggXEQ1dHA4Oox9OnXcXNeIBcS0GSXPORoALtXZn5zJDrky3r5binhHb2y9/eJXe1zq+a5rov9gLZxdTSUW59/BqiQU9tFDTqxrayOSnWGpSqSRKc9fXJCQ4GY1H1K/u2Hb4j4uHaC3mLjAa3eZgnQGy34msyjRficwo0y4jNfQwAMkuLyR5QBm0NhJXZ6bbv2h3ivkp6XnvxHXf7NXZFwxRW7bXHdFBe9219XNiMx3u7zh4bZUukKCKCjDrl3AnJIQwYbh1FpbUnEO7HLTG5i0v3zGwgaQuDiMXxCsPF4fTbSYd3gOfFyDkuxgEg3zOkgzooK+Ezwq0W86jk3wy8dcicv+J/wabIuVw25VRbj31HYtl7juNTJ7XPFXpZKZa28SUwWJ6oBgk81SI550FMsL9lmMpik3GV6YY4xkzBzyGtNixriGgScrJgSHEBxPLhxGAxFOo/A06rnPsapaGMcS4HldVgvzwS4wXOghpyiSvdLZPggoLDQbCvfLvJ9v8A7JbOoo02vsvZ9ii2ps7b05dmNRFQxvJUVFV1SdCVM83mA++iJIxY8nF8bBqmrRa51U2zPOZxERADQGtEbAG1ictkMBgy1rsLTY1tJxktbJnS73OkuIiTowHmgmCM1y7y3Q8HXTYG99gbYo7XcNx1osc2yhRRW+8bpgDSSNcYJ6mRKeCOmlm656ypBVIZG8xg7RI2fDU313e7PIJiRflZa0kA2OkNEkwGgmQtmJp06TXVXy4g3cJdJsIixccozASBALrNBeOOcT8rbY2Xup95cz7T5PvHiKvUtXNeH29T124bbIWqEjpaWjutDijkoqeARwxrKsDoFqJZY0eWQ63YmhWFMYXDAFmkkBt9XOdn5hJ6TDQ1o0uuHcKtJ1WoQwG4G8CYAAkk7kScz3EhS0r93WWe3GlQ2Sm3TXLJIbbLd6WijMSrjpnlDipaPqPQGwO7/hIHVrlPpPp6XYN4kT2EZZPf6aLdgarq1zIIGhBzjXbbSZ+p0W77bmt1+ulvtdVtqK3Lb2d45mo0E01wbtJ5TAMsSJjo6kdg3SVbsnfI6sXAkEme826nrJm0bzuE9ejkGcG517CLDYkm2oHbUxuFPtKwU9yrBT3jdc08LB54YrnUmOnwmellMhVeoHOAFyfl30lTEZ2CWiBbQD8gJ+MqhlSo0TYZjN76+s26DQbBbtb2t9KkVvtMQanVj1GNupYsjqyzE5JPUPme+qHOJN0tTMeZ5uVl9KlakkH1BI0JhOQhnse+Doyik/rqTsohNg9++pJUSNRXABWx66EogILLj49tSVIScD499QlGENhoyhCEwzjUlQhDI9f66OZEBDYY7/TUz3shCDps6KE2AT8dQORAQz/HTZkQ1BbsfTB0S5ENKGRk/L9NQvTEHUIRyO2cHUDkQEFgc99TNuiAhsOx1JCMIJ7Hsfho5kR3QW9TjRzKQguPj2H9dQuKICC3x9dGeqkIBx8RnRLiUwCCfU+o009FHNQX9fTRDkcqA+fn2+WpmhENQm7j0ydHMECxAJzj5aYFTKgN2zntogpg1Ab1zo5lMqltrzjn9V5BVoByirTZlFWhKivoqKsHRlRW1JKivg6koStdvlTIf/Rhsd3uUU0ZYSwBehCCMhm6gUbByDj4H9WAJuVfQgODswEffxUc77uGTake4rpuTfNys+xbNEzZqamnp/Y5yjdfmzhGdowrqFVjn3izM3ugWMcCIY2T8T8gOvy2AXeo4MPLS0Aud2OloFyBNrnUzC0i3cs3+2WWvnuGw+XuSLiahXpLjabC8tBU00/ZSJpvJjmmEQImbqC5GV8tX6dbhgnmA0BgOuZwBkdpJA6WvvKyVatIXDwYEgN5nGDaMoIEnQbbzqtp2VT+Iiqhp4KCy7V41a9RVFdcrve2jrqygnMnWkNNaqRvZyIklaBWmqvSFSY3HbVrm4UOzVHl0QIbvG5c4WnWzTqufjcQxwb4YLg0xfltFpNyTuYy+sldCTw48f3OpiunIVTvHmC9K/mNPum8T1dOGznEVuQpQwpknCpAMDtk6B4w5oig1rPQCf8AyMuPzXPb4nLLoifLyi8axcm2pJQbr4W/DzXLWzQcL8ZWmrnYPPPbbFTUlRLgKpImgWOQN0ooDBgR0rg9tK3jeKPmqEjoTI+RkK+o8uEPJ/8AJwPa4Oy0K1+EuzbbqJ5+NOUvEBw9SyRPEaG1bzqaykjYyF/OSluQq4lcnGVwFIJOM50zuKhxmrTY4/8Abl+HIWotdkpNog5gNC4Bx+bpJj1XNOVfCFzRyHtU2CyeL7e9j3RSV9PcrPfrrs2w19TYK6LBjrKNqSChkhkADKUDFHSWSKQSRuyHTg+K4amTNKA6xh5uOnMHf21EFJiHVC5rjlLQDAhwEm14dcevyumM+8ftHuMjHDubhrw0+JS3RMzTXDYm7Z9sXmpGAQy2e7xvSF3I/ulrgoPYMB30vueCqE+FXLDsHt//AMmz88iTDYyGA16LgdOU5x63DSB6uJ9V5tfaLcqVO4dkW/xB03h18dHh28V/HNPVV1iutfxpNPa9yWeUqbnte4XSxNXxex1saFknZgKapSCoRkZGOu3wrh1do935atN39NRpII0cGktNtCALtkGVjq8Rwzj7xTqtZk/qD59CC3LOlp1iNFMfwk+LLZXil4G8NPi729vK3xrfunZ9+gpqlZ6vbV1qpsSWq5QRjyfaGkpaciRkUrLKXHVHLri4vAmlVfRg25oNtOhsQBJ9QOq7eA4g2rT8MMkC4ncD8RvaNCATqAIC9EK2zW/YlOKqjqJqnYK079dB1q0dPIzl/ONQxMjJIWKnLEBnU/hJA5VSqDLo5vp8tFoo16lZ4a6zydd/ltGw7RsoT+Kbwm7r5A3xsrxWeEbdO1eC/Grt23intVyqgXtO9rf2eTbe4o4e1RQMclZgDLSysksTAZU9bh/EmNacNiuakemrT/U2dPTQ7rl47BHI6q0EvFrzBbO4ud7biPVfK39mb48uYeH/ALQ3xccH8s8XS8J7I5k5TnoLlYrnXyx0XE+/qqqnloGmk6Op43YT05AEftHTTsGAXOvRY3h2ei1lR0ljZBF8zYvA7iCJ0Mz0XMw3Ew3FmsWkgnSxOnWwExciYmQCvqx2cm6nv21bRfBV3+1bWp3tN7o1Trllrq2dVp6qNQVp0RkhqvMilyscjOFx0515PEFrZe2wMQSbAASQSbzoBGy+iMqMNNzW5Q52Z1hGm0QSZJmdTqZXlf8AZl23bXgW8VXjV8FF22huHdGyblc6PmTYFwttB7VBJtmolakkphLkySiiqQIBGrOFJYhDIz47HFalTEYalWbrcETFyAdwLuAn03i54tCg5mLq0M8WkEk6HVupAAMmwEz8F7L3jdFFuOwUt/uNs3PYt0tX1kG0oI5aimaruCK6qKyKIPGICqMcuroiqznLlAeBSadIBtcxOVpOu1/Q7gBd51E06hpscC22a4uImGzf9Z7Ax4M/aG1/KHgs5Y4W+0qsE143pscU8vG3MNhubUtN9+WCpnd7dJWpSsTLSwVMj0sRdA4jSNSCpdm9HgqgqU3YbYAObbNBHqPMRzG5H0C4/FWmjWGMI5QS12UQA07gkC4JuY3J1K86fGHyzcvDj4IvEBxg/CO79s+FXne2X7dvA9TWmqWs2xQinp4aW010rSdLwGgiiqqSnV2EUM5hMf7II2yvSq1K9Go6M1NzfE0iXOkne82cYFx1uMGH4hTpYetLpa5jmtIn8LbC92tkkt6tME9foH5x4UPLHCPDHi98P279lbc5b4qtthrtnXCOpkS0X/b8NHA9dabpLTszzWeonCsswDCnaBZo48Rv14quLa2vUo12kh5dbe5IaQDo6Cd7g3OkLg2VWU6Qp5Q+LkWbOpaTYaDmtZwkmV57+NjxX7f5Ztf2YPL7W3cNt3PtvxUUVj5D2xV2yJ7psi/ezz07WasELRQTTIrqY5YyiVEbLOCFI0vDOHOOLfSY6Q6m4AzZ0xcEzbrrHrZauMcQDMEMQWZclSmcu4iTpc3JtMzIi10y/wDKRtoV/G/go8EXht9tiuF1vvJ0a3C6Oyj7xrY6GVZamoUY6mae4u7OOxGPQnU4NFbGOFMQzLA7CWgD5BcnjfE3VsDVrPu4uZba+YxtblECJELE+Fa7PtPwE8Z86+M3k2Dc8nB3KJ4dtFJcFagsWwFttwSkS6TKmWevmpo4ylwkDyLE6QxRgOxmuxuMayo11Ec1YZnO1MEGWtA2tcC7jcmAAOjwSm8iphcVyijsIAcWOaGucXawSIEtY0HNGYkqGn2mfi68YPip5x4x4E8E3HXIUHH3LFjKbbocGnvfI9jjlkIqVow6SWjb0q4KrM6STQ0nmTuiAx6fh/Bed1KrAc2HPmCGTeXkyC4TOW7WkgAFyT2j9r6uFwtN+Gu1xLQ8auIiQzRxnQ1IaXScuVtz7LfZb/ZCcB+FPZdt5B5c2FBv7kiZ6CttkG96WWW3bcuMMAp56iChmzTxV086yOkrRdS0/s6xMnv9Q4j7QPpktwhym8uF3QdBMyBF3QbuJmwC4dD2XpupilUcXg6smAXAnmLYExMNMWAJvmJXFuN1359oT4xPGNfKvdt84y+z8NQvFN2h21EtJeOTKawTVHtlPJdAvmUVkFReZYpjD0SSRCGMyIqyZz4au3C4SlXxAz1HnxGtPlEgNa527jy8rTbMSTNgfU4ylVrYp+HwJa1tBopufq7OeZzKYmGmDGYXsckEyO+7ms/GXDO891eFD7PHw58IcZ3G3Vltr9+bu2m9BZbpZdvVkbM9opbyivKl+qOkpHGBK1NSH2lkVjEdXYXiGJxjG18fUJw4JAaSYe4bBo1YNXm39EybZW+z+Ewbmtw9M+8OGpaXim3/APY7NOsRTBPM85rsac2xcS8w3jwk7G3jxPJtvZ3Llle5V26dg2PY96Wpq6+yXVah4rfbaSthgikgo6qkrYZqiWUeWgMrqPMDNix7HVQx7HkO8pkFtwQQ4kE5QQ4AADYNF4C7eCwFJ76nisMeaDDzMwd5c9xGb/lJLnWK574o+Z+D5bTsGk2R4eK28+NTccITj3jegL7b3Laq+SBWa57geDylgtFKRG8tRWiWnnw5VGHQxtw7MWazqAeOXzPdzMY217zzTZobzdbkgV4qrRo0BiQXFp8rWeao68saBsRdx8rBFzYHm/E/GP8A5ru+du+IjxX123ec/FJuuet3Du7flmee4Ns+SKsHtFDb7cYmjo7J0iRfOpl8yYQSvIvSC6rWxlNlI4bBAikImQAXzo5zpudS1tgLWkwnwHCa1R3vfEBNQCGiTkptyizW2giGh7rkkySuh+IDe188bW9dh3Lw9x8lWfwTyK1prtzbFgnbcHIsMUzms+7Hjlikt1jdi9K1ylbqlKyvEkcYSWYUcHkaa+LAe4gEMOUACOU1CesgimLxGbUNVmHx9YsdRpVMpDoNS5uSOWllkOe2IdUuGO5WEua5zZIbB8T/AIPvCrW2jgDeXLPG3HtlsWz7fV7bsLSLT1lJA84po7TT2imQS1FyEqhumOAzMhXqXMgd8jKeIx7n1KAdVqZgDALibSL6NaALiQAYEwLW43C0sBSZTDRSZDjchogXLnOcRIM6ySTJudZJScseKfm2njtnAHAO6eONvvHKkW9OaRLYo7d1Dp8yk2/SObpWyhW6gak0I6sYlXvq8cLp0v8A8uqGi3KyKjj8f9to2u5x6tIsvM1eMUW5hh2eK/aJbTO93Pbm/wDi1kEfiBiOt8U+DbYexN1zcu78vN1548Q1ZDFR3De+6II2lhoUdnW32qgT/ZbVQIzArT06gllV5ZJpB5mpieOnJ4GFb4dPWAeZxiJe6xcfk0CzWgLCxlZ7vFxTszoIAEhjQSCYEkmYGZzi57oGYmBErbzbEu9LHC8ksVRDKlRTSo5VqeVTkMjd+k92U/RmHfOuKysQZWtlCmNWgjpCxlXtyC7IBdi1WFbqjWoWKoCnHqQ8eD8fh8fnpm4hzfKSPif3VoA1yifSP7rV63iba1XBHHCLlaJUYyB7XVy24uxcs3WKVogwYsQw+Pzz307cWQQTeOoB2jeVpGKeCT1+P5z81m4duUNPSJbWtlRNSAg+W1dLJEx7d26m6mPbPvZz8SdDxjM2+X396KvMScxdf6rZYaanpQ6U0SQRluoqgwufmB6D9NVmpOqUknVG1MwTtKsxwPXGkLlZCGxPx0AeqiRpsyiQ3z7Z1MyIEoWoXK9VpcyiExzj5agKiRqSiAkMPXOBqB10wZ1Qz6nProl6IZ1QXxn66IcmypB757nUzoBgQWGD8NEPRyobDPyxqFwRDUHTEqAJDj5YzoZkYQiAcj4ambdQBBYeoxjUlGEM49MZ1J3UDUE9tMSiWobj1x66Ad1RAQHA9fjo5tk2VAYAjRzlEAhBOPz0cymVCYfTto5pRAQWX5YydN4iMIDAYPbRDlIQGAPbvjUzJoQT3+H6aIqdEcqAykfX46OcC6ICE/p3A0c90Q0Ju47ZHroh97oBllLPXnSV4tVqEqKtTMoq02cqK+pm6qK+ewGBqZiorHUzlRV1YBzjH8tNnUhaXurc1s23Z6y/XO+2qwWeNcy1dbULDDA34QWd/cAyV7EjvjHrpM82GpW3CYR1R+QNJOsDpquX7Nt9dvp6ur3rQ0UlDS1krVcq03k091qQemNFjbLNBCixsTJhjN0jpxCc9Btbw6Yc03OnYdbaE6CNpOpV2PcaZFKmYsLAzAjQyNSelsu5zLcKyzVW4LtY7TVPUNaKB3kqx5yziSRVHkqwcZHcM+fewVUYGcjLTeBJ32/VDxhSYXASX9RB7mx+G1l06GlpoBCIoY18tOhO3dV+X8BpfEK5ziSSSdU4/do5glIQpJUjGZHVB65J7aMotaTomNdW+zASAxqkcqrP1HHShHr9fn+h0peFZSp5vlZc+u/JWzNli93LeW9tu2a3UwLTPPOqpTp1Aq7kZx7r9/ng49NMwEkNaCSdLG/ot44fVqNBp0z9Ol9Y6I2zOQdtcgW19y7fnpaqlChYJutHWVeru0bgnKsrIfgcMMgahc5pLXWIUxnDX0SKbrz09LSs/crxPT1DmFXgtiL786YCTN1YCdf+EnAGcge98dQOkyVno4ZpHN5unT4fX4Lxj8cHgPvMHJdL4xfAVVWvifxcUl2t+4d0bJcy0+1ec0op1nipLvDEREld5kCrFXYBLMokzkOvpsDxxtRooY67RIa6JLZEepEHTUahc9vCcRSLqmEPK7USB6+h77XBMWXWPD59orwb4sOKE3PaIL1x5d6e5T7K3/sTdaIlfx5cwD1wVkful4fMQpHKB74jLKq4kUcrGYKrhqpDpMDMCJOYbRE6/T4hej4LQOKa4Dzj0BzaEGbSPkZ16Z3ijxe2zlPiazc02qmuCW2xVQtm445atZKqppRJ5UdV9104lqlZ5uiRYceeEdcqw6gM9XDFtXwhYnQXm9wATANj6SF1aeEyE06pkGYIAiRZxJmALHUCx00K8Sft8/AnuPmHa25vH/4adu7rG9oNvw2nlayU1J5cl5sNOyyU14ip1HmpWUD06GR298RxxuhzTuD6bgONzxhatngy0zod29L7bEkjcR43j/CHUWmrQIcCCDfW8zfUgwRFxGikH9i14oL79oJxjvLcHJ3Kl0oeYLfdKfb28LdROqU9/SW0p93XeQyhwatqm0TSiWPCxvLJGVfOdV8Yw7aDZyyDJB6QZI9IcZm+kRCPCPaGWM0zMEbzqAelo0A7zKw3i88Qx4b5k4H8aFVe6qa28Vblq9ub5SipnNTLx9uSc0UstSyMFkkoLhR09fmMBGEkTqFDHOfh7w5tTCOsXgf+bRmEb3Bi916fjmDNClTx0QGuGhnlgNdJuBe/YCNQvYTjK/0+9dvWbdtPf9w7Sg3VZqS6baSqpIxSUdsKRyQDBJzFN0U9TKMh0kmCq2IlXXHxDwx3huEO1Inf/wD5nKOtzEmVqY4PaKlICo1u9wTM36zBOW3lAmJKccwcKbW8UHE3KPhU5YprZDtXkbbVaBJOrIi1jYL+yCQdTey1SQ1cRz1e9KT2Rxq6hin03Csw+T8jpN9xb0hcviNKkKRLpdeCBf5x1BvqJAiLL5iOZOXKnnr7AeXwsckUi7q8VPF/JO3+HZrBJP8A7XHeqK9rQUJUsoWFqijnMSOSAVSXucHXqTTycVp1qZmnU5t7jKSRPwn4hefbgyeH4hlTz0wWzbUuaG23Gnz11X0Z+FznDYPib4F4isex7BufbIrrdcLRuGhktgVrAbXUewS22silHU08UqNFIoLEtHIcFJe/Ax7arKz6rzcXknc3BEWjcfCdF6ThDDRpeMIytgNGhzbg9CNOkm2gXzufboeH/cvAm2eLfFrwJSbP2rw1uDcW1blyHS7dASjr90UVVU1Npv6RKAkc7oa6jkljALdMStnII9F7PY59Su2nXuWG3oYDgeux+a8rx+hQbQdUws5XSHA7BpbBG+v0I7Jt/wCVZT7kk3l4Ct9bZ3ffpbHd6C83aisERDU9PdFmoXir6eMjqE0scsETKTg+QnYEuWw+z7hnqUxZ4IEztJt2giZ+qycfzNwDHAjIHxpcw0RJiSBJgaXMC6idwHxfs/kPfPir5b8cPLu0N6+HThGksHKu9duWOSuisu5d41FILa1op4fMNHWn2m3mGqr1BaqqoRCkkcZmJ6nvhw1FtbDNLqjjkpkgSQbh43DQJLBuOd0wAtzqdfG4s4LGPyMID60GMuVpJa8HV+hfchh5GtDpj6JPsivDJyHufanJP2gPixqYp/FFyzb46Onoa2l8io2ZtKFAKG0QKOn2ZZlWGplWIL1o0IJB8zq5fHcZTwlAYCkZg5qh/qfO53y97ZvQJsIHYvFsx1RkAANpNFg2n1A0l2smeu67z40vH1Q+GPgq01exLBLyN4jd/TVe1dh7GoZQ1dc7yY3ijqhC3SVpYD5NRPLJ0xxx4DHqK685g+HuxdQ0GEARLiTAa06knQbxeSdNCvX4tlPBj3vEzkYRlgSajpkMaNydLaCXaa+OG3rb4qPCP4VvDX4WNp+H7hqj8U427dNxJel3ybrU7bg9rimuG9LxTxUYjlpBXuvlUvmSxVDSU8SCoZZAPX4pjMZiHCnXiiwMB5SMoMNa1skHO4TeARzGzRJ4XD8Y/CYB1TFUnHEPc4RLYc4y505SeVgjOJnQSC4NHp3w74YuauMvDbS8V7T8QlhvG9NqU1Rcn3ZtrZ1EtgvN8nqJJ6qrmqK5aqouFfUSSOJpYCvW7eWGh7Qrhx2NwzqjXFjvDgNaC6DlAAAaxsQ3pJvOY5rldbhDarGl1drRWqkufOYkuOhcSeWw0iwFmiy8nfGJf93V/jD4H8NXgQ5IHil8dUC3On3lV36hg/s9xesns0pMtTRCGmiMFTRz1bU7xS4Mz+Z5srJFrXg6TcYx+JaPCoNiXm+hMRmBJJBgRv5BqRh4tx6vgSym9rXV3eWmJBIc0SXNDrN0IzGS0GYbGb0K8O/Bm9+DOTt47g3LXXHkTxL1e1mrOTeeN9X9au33CZMPBaKSipoy8VqQK7LS4p1RoEaTqclRixlag+h4VI+FhxGVoBLnH+p0lsn/AMgJIbOq08Po1GP94xTHVsQeWAGtaxtjlZcwJJNgHO1MSoneJTxB7w2/xDtvibkflri/ircO/wC81x+9aWmq4vunju2xzpXS0Kwu00s1wkna30UdND5kz3IHs8PmK2AwbHVms5nloBLQJL3Oy5KcTqbF0uAAa4mAV0ONcRc2k99EASS1ri4AU4JNWqSWxFMAnMc0EsaJJgzW4c8B+7/EzZrbvjnK2XrwscbxWWGzbV4mslyqrLWXCyoEWCffMlBJHLUTvHTQeVbaeZI6OBI4pJJXjIGriXE2UnRVIrViSXEw5jDeQyRD3SSXVDIzHkaAvLcNquDGsweenhWiGxyvqCIn/wD1MiwAAqOkue4l0D0J4F8KPCvhusdyuXhr4a2DxduWaVvvW5fcqdVylicKGluIBq6pWK9QlcuTk9MkbZGuXjuO4jENax74Z/S2wgz+AQN+07yFoo8GwbaznV25i6Lklz9BqXzpsJtuCphbYTc1ViK7XAwVUKsk6RhGClvVkHSOlMjCdRZgM9XcHXHygDKPv/Pb5rTiX0fMwTPr8u8bm0roCuvmGEHLKgLH+Az+46SQsEWlL0ZQBhVoSrQVWimCSw+Q1JUQj9ABoyokkgdzoJmoZb5ZHy1CVckaTMoq0Q5RIJGfTvohyYShk6AdZWgJJOPnoF6KCcjsdDOoramZWMViPoNMHqxBIwTqFyiGxzkaXOjCFoh4RylBb1+GdTME2WyQ3ppg5DKgkEE/PUDk+VCbPr8dGVMqHoZkS2UFs5zjTEqZQkEZ+GhmUyoB/LvolyICE5B9PXUDlIQn9NEOTEQUE6hcUCIQCAPjpsykIT4+nrqByJCCwyARol6bLKA3ocdtTMny9EFsfLUzKESUFvh66IcFIQG0SUYQWxjvol+yIagNjHcgaYFMGqV59O3p8NcEuXhQrA+mO5/npcyJalZGpmSqs/qdEP6owr6Yvugq0cyirUzhRBqGKwSsG6SBkdie/wBQO+pKZuq4pftoHct1p2rbfDNbFeF4pK+JKge09ZaMwo6AgRuqSnrLLmNcKcEh6FQtObQ9tfWdrSOvou4MSwUnUzzSDIFhG8wbzpaNbldLoYKKl6tvx0KR22ipl6CWXpfJI/D6huxYk+pfOTk6DqpcSSuUSSfEnmcfu/3os1BTUsCieKlp4ZvLCkqoHYf4c/L10DVOiqJJME/ZTtW61BOM/HHz0MyQhX0QUECpjgkhf2hVaJQWJP8Ah7HuD8O2dSbJmEyMuqx4slnkkpqmSgp6qaIfsZJx5rRev4S2cep7jv3OnZULQQ20qx9d5BE2PS35JleaaZJqGqpVfoDCKQIgbyxnKtgYbpVu+FPYnPbBOgXbk/VWYdwgtd/n9PuOih9yVzBw3xRv/ZnJG4dz8f7Lp70tSu4b9WV9NJQC3UBSJFdg2UqPPrYoY2HcebJ1h+kKNuHFR7CyCTsBOYk7AakQJMAxFomVtpUs2fDNccwEhtxrcuJMCAOpE7LXr541Zqm4XuxcceG/nfeFJRW2O5terjJbdrW2qppvNMc0IutRHVy07ezzEMtMSQvuqwIze3hhBy1ajGGYAJJM9IYHCb6E+sJGYRxYKtM+JJFmtzRpuSxsibw4jeVx/dHiT8VNRdb7tuz+HLherttLbmuQrpeVqt0pVIZYaZZYrP0STiWORlMOVCxkdRIxrNUw2GN/Ht/2G57S8WAOpiV1sDhXhzPEpOkmIlgtE5iJdExBBJImV4gcobU8c24uf5fGd4N7d4Sqznylt1xt+77Ftvc1wrn5rp4ZGaGknpqqlpaasrqaKFp6aePpcMkaZZ0VG9FhTRNFuHxT3ASMpLC0CdYJJyggxfrYRdYvaLB1cJV97wtMCBDx4jTYcoENAIPcHqCYkLsNu8anhF5O25wtzDxRT7mvPH0UdPY5tu3KoqZ7htC609umC2tLbRhq2a4wyNThmiiKLE000Mo/bgYK2CxfvFRj2c1zYSSJF7nKGgbkgEgA7Lt8H4thvcmONTLEAnS83mxlxM8t3GZykBeiWwfGJwVZd0cXXCs8SFiuG2txWa2bfbZO7rjJYr9Q3Ko6DDLJT10VIvS3VLTsio0YZoT1dBbNHEcDVY5znUyHC4MGIHV0m+hmR+S5OELK9JzW6ZnEuOV0k6BrRLo2gifQyF8Wn2iHDnI/gR8Su/uUPCPv3efH3At+u7TW+6bJuNwgoLHO0s00VpeuVY0nC+TNLD3KlFfpHSgLd/B4pmOoBuKGZ0aGLzHMGzO4k9YJ1hea9qOGYjhGLGJwbi1pvI/CehMQL3Am3lvBXudwHwLWeJ37MSPf3PUHI+6+Vtw7aPt1T91VIramiXptnsyMv+z1Sin9lnSeQYjn8qUe4jA8fE1BRxAbQaCAZBMG55pFyQLQdyJ3Ij2vDKtXFYFjaroJaQ4eXYi4gAkySBppbUqYP2UXKe2uVPA34RpLpVvunkDb1BfOLr5b6yJZrlQ1dppaloDRR46o43jgpnKSDsWGG6yQ04zTyV6j6dpAfbqSAfrOn5LB7PYl78M2gQAGnJe0xYz1t1vGoheuO3bpUXDZVJW3jbouFDJF94biq4Fkie3IaOKrEsJYl/2RlkVVhxJkEN0EsDzajMjy1lhp3deNtZ3vHqupLXkEul1so23EbaxvIvN4XyPfaZ8c8qeBTx18Och7tvFNN4eOct+bH5D3Tcau2vPM9/sV2innllooY1aln8qsV2pYA4dJHCgMOlfccKqNcA1vmpZmgD/k0tFybyZvYTGwXguOYpjKrn0z/JqQDOnK4ERvAaAJdJPMTdeunB3iMn4x+1l5T49mhXj3Z3Nu5KmqjsU7Cnj2lvSGgpJoapRE5RJ7pboZgWmCmaqopT0KrOG89mdiMFLrmkPNryyQWzoMrosJhsE7Aeix2CoYAsaCXNe0Ty+ZwEg3BJaQTpaRAlwlbb9pLt+38k/ZF/aD2Cx0ENNtPbFNcEtEbSN7LXU9vvkVaLhSB1VxJ/tVQM90cplWKkEph6j6WLoveYecvrcZQCO8fW90/FchZUZlklriTazizMb9BA7yIsvnt8UPMW1ftTOSPsS+DqjlLbl23fX7Rt+3+Qns8jo22LjUVVPDUpLJJ1eXUmmtzTFRnod+sf3gGvUYOkKWIxNV3k82kAw1ziNNJMWt8ivD4yvn4dhcM3WbCQTHK0E3JnWA6CY6QTIPxA8bcUeKL7WPgD7PzgStoePeJdpbXsm3tx7WasnpbVeZ7LWT18FsMMUZy9NHX1MhL9QkZ5yXLyZGHgmMruZUx+JBzZiQYnYNJiQALQAIgCAIXo+NYWhQq0eGYc/y8hLw2BInPBJBJLjzOnzSM1wF9Gfi+8S/CXhZj31a/EzyZVbcsNu2vNc4vLdI6S4qi+TbqWltiSZnmlM7wdEnmmX2Riwjiw2vKVH+Ly0my6bbuk63IgQOb/jIkmV6nhNLw6bccSKbJh2waJBcS7XUQA2NYaMwK+bbi+qi5m5K3L4jrpQUu/PE7yXbKvbvG/GsxkZNkbJolNG9duFaaR1t8EpiWoqkUCR+0EMUk0+I/SPoeHRNCkYjnq1BcA6tA/rIAho3dqWtaSsTMU6pihxCo0kSWUKZOVzh+N8HyZy67tGs1zEtafcrw6eFHii1WLjne/PXIlx8Q/JHKO2P7S3Xd92igtlJHQU9HRyRUfkHIjoKOJpBHSVMjU8UaSySIZWZytfiYwtR1HDtytonNzHMS4m7ibCToXAT5WtMLPh8PUxOHfXqukvmmQ1paC0l0Ma3zxP4RzPc5znX04rvzfHiC+1/3Zf+JfBnv68cCfZvWKplp9y8o22mSgvXKtXB0F7PtwMFMdDHlUaqwIy6kkuFSJqKOBp4el71xYZqjrspk3O2aodgbxN+gmS3FiOJupVBg+EkBzTFSq27ac6tpjRzzo534fKIEl3pt4bOA+AfALx7HsPw7cawbUoEtK3C7Whuh7vuKsNSitNcq+QM9VVIruVMgK9iEwrdIw8Q41iMdUyvMBsAASGt10He0kyT1WzhfsxQY0hty4kmobuMDUm1j0BETosD4uuYtmbO2nvmXeHKVt4qs9so7fPumuraiBKSw0gZnpRWRurdS1FRVIDAcOyRzdJLFQMOGqAvFs0G0TJIAs2NSACekwN5Xp8DhYZ4gAEgwT0NiSTECBEmJm2hUWvCP4Zrt47fEdx/9op4i+Oa7Z/Em0rKlr8Pey62l9jqoaBmJO6rpAWMkVZVMvmU8OeqGNYpGPWVJ9NXqu4bSqUHf/k1P9y8hg2pjbNFnn1HWPnHEMTR4jWZVoGaFInK4i9V277i1MQPDaRfzRovYmsvm2RcU2jQ3Wqrd2LE1RRUnt37cw9ClnUt3SPMiq0uQAT6lvd15NkvEaDc9Ok/oNTFgvVtpVGA1nCGntv6b6aQfgDKzw2XcIaoy0G41tJUo1PaXj8yiRh6sMgOc4D4B6QwHYZINrKrQeb7+/vRZffbXZmF5O+/31jdbPuHctktKQy36rpLKqKZZ3qqgRNHECFysgI6gWZV7epIGMkA0ufcN/usuDwz3Tkv0j9Z7f5TKn3Ba5Wd7ZUK1xlqEYRlSjSRAhet1PoG97BIB9B2Jxp4IMH/AArnYdxjMLR9dbenyW8U6yJBEsxBlC+92x30JiwXPcQTbRLWRH6yjq4UlWwc4I9R+egHWsmgjVXPcE9iNTMU4KET66bOiraBcokMB8idQuTtdshnHw0CVYFbSzZFJJ9MaAcNVEInPfRBTNF1bRVyQ3c4z31FEIjQzBRW9NLmVgNkhj3IzkaherEPUJuohtjB7HJ0perGoepnTwEJvXTZ1AkHRD+qKG2O50S5HL0QzjHxI1A7ZNklBbvk4xqZ4TBsaoTY9T2OjKOVCPx1A+QpllBf8R9NQORDUJsdhjUzEaqQgkdifj8NN4nRGEFgPiNQv2UhCK/L10c6YNQWGfXTBymVAYeoPbQzqBqCRjGmLlCE3bsSB20cymVBYDPY99TPKbKgt+eBo59kQEBh2OmzIlqAwH+moHiUSFKssceoA1wy5eFyq2e2NGUYulAj46EpS1V1/HudFTIlBh8hnUJQyK/UD8RooZSr5HrntoSlhClkdU6oo/OfP4eoKSPzOinDL3ssfBRzvVNVVU0jICTFCzBhGSMEk/PGQPkCfXOjMKx7xlytHxWs7jtsscyXS1SVEtfAwaSnapIjqIvjEUbK4OAy4H4lAyOo6mYeivoVTEO09Pr6/oSn1huhvFleoild5iz+U8g6fMB7qcf4eoMPdOCO+QNJsjiqYZV7W0WSsteJ7fTPNJG05jDzdJyFcjJAPxx3/IY0Q+yrxVEteQBbb0WaVg6q49CM6IKykLH3CshpaeeaYF6RARUYBJRCO7YHcjGew+H5aOdW0aZc4AanT1XN9tbvpqV7hTU73G97WikeKlrIYjL7OyBR7KcEvI+GUqQvpkEk4yjX8oI3+/l6/JdbG4AyA6Gvi4n6nYKPfJHLsu9dxXviDju33jce7BaKe4XWjq6OVLOKCeaWFaipmAD+UfLlxFG3mVJWMKBGJJR0MNROQ1nWaDraZgGADq4giAfLOZ2wXRw2GZhi19UiZIbB5rRN9BHU+W4HMQFgLNtDgfYm9dybor9u0G69908FvDX++UFK9ZaIZ3ZPYLcjoqW+nYx+bHDS+4xyzeYwyb8VxqsaeRpLWONwHamNXGSXGDHbQAaLnD2efWcyq9rZBcWgAwI3EXN9S7mJvKitdq3c1dzXu2npNtVEFBZrTaEpaIW2atmnkkmuMwanqaqRaajk8k07PSP15DFsRK5dctDD0zTBBy3N5a0WDSZNzqdQB0kkQvcTlZLSCXZjcnSzRZovcGDPpOqiFDtTeG5vEPuXb2x7/wAzHdlu+7qGlrbrSUstVstJemeCtgsy00MdTA8grWWoSJ4E6/2lQsasJd7qEtzOblBnc36jMXWtEjMD0aTAVT8QynT5qgJEyAIAmReLkzAFnGJ2zESg3l4bPFLS8KcWcIbtudg3LaEq5bJQRW2appaG30ywForxf6akQy1NQOjzWWCtVBMsUaA9Zdb8+GdULmkkRJJEwP6WSYPQFzJMyYAg+WpY4PNSqGc2xBylx2Mm7BrIbEC8kmB5C+LjwC86fZzXWyfaA+Ad+VrndbXao4OYaeW7PdI99Wz3PPmwnlyxMoCtJSoiLGoDo6+VID1cJiaeMb7rVADTOUCRe+skzqYN/wAl57E4M4WqMXRvVF3NIGlvKIiRAvLSRsZJXr7xdv7gfxc+Hzgzdtvp7furjPc1kpDSQbztS3CrnQExyxRyVPmxVTrIkmUhkPs8kbB4yWjUefxNTEYWqblhJ0YYH0Mi3WCRMRdezwGIw+Ma6GirF5IbEmPwwAOhgEHTNAKijyR9lb4VPFHs/lDbmzOFOFOIK2qo7nbKS7wsaMzVFN0w0N2pKKkWNKRzM4PmuVDxDyjBKjhl2UPaCqCH16hcbSInU6Ek9LxczuIhDifCMOWOomm7K6NJsYJMC4OWIECDzGRMnxh+zP8AG14z/DFzPR/Zv7z4ftXJO5Nnpf7JYLEl7O3tx0FShFU8Fpr58U9SCtOamnhmVPPjwiSYaNT3uL8IpVCcUKmUODZJEtI2JAuOh6HUC68NwfjVXCk8LxDczQdrk6iInKRBJFwR1Oh7z4T+bNrcD/agc27Q2KNkbas3JFuqd67foYbdJZ32tfIKB1qbXdrVWBam1SzlGlUMCYnKVMcjwO7PRjW1BgCMUbtsSTYgmxDgC1wGhynTlsdO2x9F/E/5QOWocwAM3Ah2ZoIJJBmHASZkQvae2+IWg2JPxTWWt913vi64WKwXTcF0t9lmG3LHt6KU1dZMszA5WF66NmdXkaRZZAO7e7xjScKlRzm5Q02JIzTGVsCxgkcoiB1tf0uJa19MOY7+Y/NDRBcTY3MxJbMk5doEgBRc/wDKWNu7e5E+zq21zDTtSz7q2Rva0X201DnraeKrSWmnOGwTG3XTSDGQ4iBXspOr/ZLHupY0MNpGnpBH5b9bryPtHwgHA1pAhon0hwbAjWzjpoV2XlTwu1viU8LHPm+uMbBsSx8u0lj2FzNs6RaUVr3XdlDbTd2NcOny5DULUNSEL1AR1DxsGQINdKljW4WvSaTLWue06RlJDbGBcRJPUTqq6mMfiaAaWkFwABuCDJyRcnKLAT3I7xj+078Qr8rfZB8peJLh5rhT8a8obc2hK9rmqJCbNQ3aamp6lJVVWLNBUWqogUOwRfNcZJ6BrGcIWY5lF+rXOnvALh01m5gm3qVtpcQZ/DKtVglxa6LRBMMPpDXCQIkidJXyt7i5F4+8Nm5/s7+RuLdl1Ut52/x5T7v3HX1VPPQNui91dZXvOySnDyQU69FEkqARt7LIE6gSx9NWZUquq0m2BAa3f8IuR1cST1iOy8TSqYXCMwleMzgXPdto6A0Hs1vwJPdellqsu6vs09ueEPxgb7rLJvjxepuOm5n3NaPu+R7s1gu8NXQXWmuNQrukRp0mtzr56QdD1RKPIOtY8VSu2pUqYKh5GAsJEQHQDM63II1MxMXk959EnCt4li2y+o4Pm4zNMAgDQhrSCNACS3ss340PGdtDxkeKzgjffPG16/l/wzcdWVt/7q2bS2+a21lVLXyJBQUKzGQNWVFWDbpgURIxFMIlidE6ZOfwug7DFzqLZrOhjZgjNc7TAadZvmBkCwG/2idQxjaWGzZcOwGo8gOs0Q0WMZgbwGnmFw85i5fR79mLxVf+MrHv3mXlDaO2tveIfe9FbbpU7fhtptS7ZtMqu9FYaag6Io0pLfG6wow8paiaWpncFpQVwcfxnhtGGLi5rTzONy4wMzi6SBOgb+FrQABzLdgMDTxIGJFMMDiYAjkaHGGAxmzE89RwkveZkgNXkDzkdw/ayeJG78HcP8u2TZX2dPE97qqy+bmu0c9uh3lU1M9Klx29RJE9OaqmgPWrqJlULJ19QzT9W7gmFp4WmziOOaS50BjTcmCSHGbDTWNoiS6M/tBjMTXru4Rw05XCTVewuhpDSCyQNTJzf90SQ2Hew9x5V2De7xw3sPwObeua0G25aGz7kjsFRHa7JBsqGeNqmOmrOhkjWJ4gkUsjxKJGmWNqiSQAZKPjV6z8RjxANzmBEughkgdSbNAJjRobJXZPD/4dhRhaBaQLMaOe5HMR+EkASSDc+Yg8pl/U2zctLyHuDmzcu4bLQLSWySmqKg1y00O3reKOatlSu8yMM/T+yZpnaFkC4VUUssnGNZlGm6nMiTPeIFo7k2vJ3NsuugXOZTpZRJiALiS4AR1mLWgC/Ur5zuI+auBPtGvE9vbxLeK7lnjG1+ESh3dVvtDjG2zT11133crYvRTXa60NLG9WLcnutDTSDDyZLKyrlvZYDh+IwFBlalTc/EkEg5Dlpgm5mMucydzlHqvOcQxruIF+ApuazC04a4l7QapB0kkSwamBzGNtPfW5eN+uuO4dsSeHbgLxT830dRDU0tyq6TjWstNNRKTEY6ySe8PRCVIsyL0ISGLrll6TrzA4LiC53iltMATLqjAddgC4knb9Vecdw6mxtPEPN3NADWvd1tIZlaNJMkjpoU22F4prJs6hqb/yB4d/FfsyiuEqx3K+XDaUN5mmrMlQ1T91VFXNCEJiWNDGEUOvSOk5JOEqOAbRc0ibNa8T/wDbLJO5v0toN3EX0/EAdIIn8Dw0N6CxGU3NzfWZupRbb8W2wb9dLpQxbS8RVbX05c+V/wBku5oCkK9PVK3nUKL3ZsdIJb3cBTov4RiWMzvaI/7mfLz6rzVXF4YlrKbxJE3m/wD9enWJQrBvTZ/iG2JtzxBUG4Y6biujqqu52eshtnlVdHFTNLDJNXmuj66RiY3LQGKN4QF8xiQQtGLp+6mKoIfF7wBIkC2vrMEmw3PT4fiJccPRhxdAvNzP4QImNLzJBiNFhNw8n3zjCh23f6O40+8RdKhXkjuNBJRivEhTpNLWxxJCqoCD1OpVlaR8knJqe0tZkaDPr6ySNf1FhC6tPh4xVQtJDWtta5HaJPyEbXAELql05Iv96t9us1i2vvW336veH9tDRJPDDCV6pMVSyeXGcBgshyw9RGT7ukpg5huAeoH9/hFxuNVlZw+lTcXVXNgA9ddrRf8ALv17Daqq3rSRwU09PhD0N0oY8ue591u+fX17nSuqSZK5tWm6czgfzt8Flj2J76UP6pEnTZlFWlDyorE+upmRAQSdDOr4SG9M6WVEIkk/HUlRW0wKtaIVaYuToTHOf56TNZRI0M2yiG/r89DNKsaCh6ElWKs40CSohMQfz1C8KxgQ2OB8NDNNlYgnTZlEn66OZWtCE3r651C5NlCQfr6amayIQiTk6mdQoLn4ZGjmTBsoROB641M0KZUJj3+P7tEO6KBpQn/MaGZMGoR+h02dQNQW+Pz0cyYNQHOiXQmhDY4x89TMoAgH0OdNmUhAPqdDOiQgPjJ9Roh40RDUB+3YYxolwF0csoTA4PpqB/RANTdvj8tMHolqC3x740Q/ujkUpiwxntrjucV4NXBB+OgVFWQPU40FFWRqKK+e/r30cx0UV8nGPho5t0IEyraJeirEgep1A9AlM6ytiolE0rERorSOACSEA7tgeuMjSvf1VtKkXmBvb4rVqivF1nakno7ZU0EtPBKpnJB6ZHKjp90huxHoQc9j89KKl4JWynRLAHtJkE6dQJ+9VrFVXS7Le6VS2O83SzrI9ZcYaalLozsD1VEABIxhQXh9e5Zct2e1gkwNvRCozxAH5gCbCSZA2Hz0PToFslqqLfRbbtz0U9HWrPSRyQVNNUmpSpgYK3mRyerphwQw7EFTnvoPeBOVLBqVS4kwDva/7rbLm0aUFWZJzSxhGJkDEGIAfiBHpj1z8Maj4IhZKXmBifvuuNLuHd9bV19jo0cXCnXoSqkgWSKWAoh89pRIgYBiyhQASQc9I6jqumSQSTb7++y9C7B4ZjWvdo7aTr0iDHc/KTChfy9uLlLw/i63Qco7c4/sd1qqiuulzqbK1XHaZehjFJSxTzNTxzSuqRLAC0R6mmIynQ+zDUqLhDQXEahsS7tMT3LstgI1MroPazFlpa2WAES5xAbprEEgaXLTJgQJjNeHLe3GWyds3TZlNUCTdF0utRSRtRVMl2uF4qjlSa6PPmpII4JVSRnEPk07eSyIoiW/EVn4gtEwIt+FoE31tc3OpJN5Ky8ZpVRVOKLZy3JjSBIAOh1s0CxNxcldjks1duGRtp7i2FdayqJklSVnMEr07MwETyMeh2iRR0shZhkEdwSec6qRyuIgd/n1/T8ldRr0wPe6T4BEGRp3iNz1/VcVh2/drTyHuXaqXGw7msVwpZbrSJW1uKuKYdMa00/7MrGEg6ZI526iFZl6UMaFrGFjWTTMOB0vpqSDPWAQLknW9u7708ta57CNBI0t0GrpJ7abyVt1k403DFebc10iqxR1sdVeapS3RWRVY8oKtPXiQvTxxSTSiNAERSB6AkNaa75Ja6WiwFo6SRFyRvc/Jcmq+hUpkG77Cbi1zAHeJIm9zdMLhy3vzjarppeS7bd5NlvU1Brb2kaQfdypGDHT1x7RLEzRgLPSlYyzJ5kcXX5pR7JBLNW7bb3Gsx3i3VRuGpPGoEi36mNet3SfyUoW3HtG5WGxUNWlnMFdRwvFDTTlzLC8ZBAp4SXKYZkPSCG6iAT30tOq596fN3F/r+645wlVr3OJO9nCPq606G9xvsvj+l2pxH4DPHjH4aV5U3Dx34IeQ9xDdXFl2qoqmGk4i3yJUV6SrgqvLWa2lWnhbzWCPE3vspjlkPsapOLp+9uZ/MaIfYczeo1AO4AmOhBAWXCnEcMIw5INJ5lsHNDtQ0kf1639QQZI9uuO+YuIt97deycMX3j+77021uGvTeKLevbqB6CJWqbjC1RDkS00/mxyRSOPLiT3yRJTNFrz2J8TDnPVBY0gEcsG1hGYyP8AkR6CZC9TQL65OZ4c7QtDrtc4wJABvFgLEkgaErx2+3P4PTedu4++0/8ADpVb223zps+42L7zrIqdkq7jYfZ2qrZfgEwYxTyQSxeZIqebD05yFTPo/Z3GOZmweIGs2JmDYFp7mdBMHoZXhuPcFOVtfCASwEktmPMQY6xrItBN9FAr7S3xbeHX7RfwieFHxK0m17bsPxGbZvX9nuXmtDLBVWqmmaNWejif/eaSZ6kVEAXPlDzYm/C51fw2jUw2KfhTemQS2dCdpO0RB06hZcU9uJ4b74XEOY9gkHmaMsHeTNsskz11Akt4PfENvStk48u/jJ5W5ouPhbs227lxXbuT9t08tPtDc1HSzQJS012Cwedb4V9ro42rJkeCQiHzJIT1A5sTwgAur0qeZ7znyuPMDLgSACJFiQAZEGxhej4H7QGlRp4Qua3w7BwDXMuBrMw/KI0AdoDe+2eKbem9eQfBb4z+BuQNn7l3bd9u7Olvm2t4XTf810ium3Irt5i1NHUIjQXFaf2KjomK9AVkHW3Ueps2FrAVaVeiWtY5wEBomTPXmGaSQZ2sIXRx2CbVo1sO7MXNa8gEwCACQYENzNBzEEEklepf2Q/i0s0vgs8NlBaotjm/T2i3UcdDPUJSCGupLbTU09VMIUbpXqpV65ZOkAyAvgyAsPaJr3Yx0G1zoTAJmBYCTNhOphcT2ewdPE8OD8QSMrQC6RzCXQBeYA6CwHQLxc8dF15G2/4V/tbPDHZqimuHh/445I25ebVPbqillht63+8RXmK3CSJX64oJa27e6rJ5ZaEd8so30Sa1TDYt1i6Wb6sY5pOg1GUT6xol4mwUqGLwgEHJnuCDlcadgCeoJ0kiDuvLzwt2DbvjB+0I8EfGFx3ZE+wdvbN2va45rftQ3JoUs1mNdNRi2O2KuU1q1MTFi0crMXKMhMR9DReaIrYgZiSXEQQDchrYJEAARBIkATrdeGxDjjX4bC0w3lY0XJDSbudmIIOpMxoLBfUz49NhcR7N8MXKm8rvxBvG42yC170s26Nzbg6Km67sulTY66F7ldrgcSVEazU9NTrF1JDHNTQ+XF0wwQjxLOK4nlptho5cjR5QM4IIBvLrnMZcQZJkkj61Q4FhXOe+o/OfMSLQA0zTAFgwAzlAAAMWEk/KD9mLszlO58jSb/puLLVyptS3VENbQwX2719vprjuek8gUTddBTz11caQ1McopYF6UkmpZJGREzr1vEsjKPmyEggGAYBs4wS1okcuZxAEuiSvmPsg3EVqxzNL6fKXXyyWiWMzEOJFs2RrXE5RaIXspxhvz7Rb7UblTlDhba3JS+D7w37bqpNp8mbh25eXulDUjyxF93UFdPNI1XXygVbdEDwUyRN5j9+78NnDeH4bDtxeM55uwAZcx2ho/CBEudm6AXhetxvtJxOvjnYPAU/CqgcxdzFjRqc0WdJ0ADyYzHMLT+vvgq4T8JHhp2Pt7gKu8QfMc22jT2+yX247jqJbJY6y5tLC9XR0JEtreVpKh3ZYqR3jCTqWHmAil/F61ev4mRtNrrTcPyjmjNIfFp2BJGq6/B/ZunQpeCXh7oc7LIIcdMzmwQIt5ibXHlXqDx+lZbod0XrePiR5NhorbXw0i0NdV2eoEMkKGZlqlNBE9Rk1UJVWRcFwgz5agcDE4+mxpqZLmSDL9LiRLj35iTMEzqV2m8MqBrcNQa2MsGGBuoERlIDbDQbHoV4veLbfG5PtFOc67wu8Ocz78vPgs27uWy3HxA77Fwihsk0EvskI27SvBTw+0z9Pmswz0xkBW7gdfovZ7B4eixvE8W0BgzeGDmJe65kAu0sBMbiNQvO+02MxNuEcPH/UuEVC2BkZJ5SbkOfcmHaA5oGYD3Q4/wCMePOINj1G2+JLNuvbdrtUYs+3NuWu9Tx2mhpj0JTNMlcTFHWeX0oVEjdXuKeti+ORjeJVcWQaxDnTcm3qGi4IjoAOkABa+F8Lp4RzWU2hjALw0F5A3zNAcRO776km6kyvGFPVXLbN93bbnul+UGngmnrWdqJC5JXyoylLKoCRnpCYHSD72MjI6p4ctYRBvMXkXsTJH0Cp/iAcHBhIDbxoCdL/AIrzuTfon+3KSwX0We7pSypJT07xMk7xxxzzzYY/s2bpPQDjPSfeJ75XSuaWG4ubTPz+e3aUa9SpldTmxMxBmBIva0669Oqbbtpdzbks287Rt7dtq2qLfVsXuSUsk8tEYitQWeOVjEyhGXqkZXAALBSVxqphaweJUHLra3Uai49BB7hIKjaZZUiXOGhIgzaLXmxgTqbyF5qLHxrzVW1Fj2hxnaGpL7BFT3qa7XCtro90p7RB51TVUMRb7yZ4o6QC7Vvks0MrBepUaHXXc+sXtLrZYIAAlovEO0YJk5Zc5xF7mR2MDhhhmB+aQAQTmgGWk2EXIGjWjKA4XAhT4puMwd6W611e7d0UFDSUcyUlusNQ1poKiHrjSNHpwXWocLE465MAguCoXpBynGNLCC0OcbydZMkkREaiZm+8yuIHvZFRgAbAEEZogbk6XNg0D1MLLceUW5uPtvSbQrLvFuhkq6qe1rMkVFVx0zVUrY6FHs5eAt0YQIpiEfu5JLZ31hUggxoOu3zvv3steMptq1fEIsdY00EDrGwvMyV1+y3utuEgkrIIKhkVCjCk8ueok79gjHqjPp+JRgA/pXLhYn77rmVaLAOWR1vYfGL/AAW6U9T1pBHUtTx1rIHeJH6un54PxAORn6aOcbGVicw6gWTvP79NugGykFwPTB0C4BMGIeT8z+/Qzp4SSR8xpc6KEWyPrqSmDZSdNmThgSGfB7YOoXXTpBYnHwOlL7Qok6XMmAlIY4HqRqAqwNhC/PQlMklh8xoyjCGzEnQThnVJPx0MysCGSfmf9dSVEFnPfuDpgU4akFjnRzFWAJBPz0uZFIYnB+GgHBOAhHvpsyYNQm1J2RyoZ/LOmDkYQSRn4aGa6MITj0xohykITenwOoHKBBPqfjqAwiAgse5Az8tEvRA2QXJHbUL1IjVAbONTOSmyILZB7A/lqZ+iaEBvU6OdEBAb19QdQO6JoQ29Ce/7tHOdVAEA5wcDRzI5U3P56YOuplUoCQNckvXgmthX0ofdQsCvk6Jch4at1fI9tHOp4av1HPr3xoh6GRY64XBbcaeomMaUrOsLuzhfLLEBT39Rk4/dpXOi6tpUS+WjXX5K9TcYYY6OWZikbzLGpx8SelR+pI0HVLAqUqBJcBqAmlfeIoGCI8TuJTFnPuo/lkgOR+Ek4Hz76Dqqto4RzhJG0/CVpG9KuC509DFT1O5KG4B+g+wMEmiDAhx7w+AXv8Pj8QdV1KgJuNO/+F0uG4dzM05S3uJFtOq5zaJrrcLs9HLUWCe/2xaeoRZw0E1db38yINE4HT1Ll1YqnT5igdgwwKQBEkwD+fTr0j5rbi6gYAGtJDpnoDYzHfWCZyrrNi3NRlaq2XZ5qS9RzSQtSTqOtiPeTHSSJGdSp90+uRgYOrDXDbE3P3C4tbBvdFRg5ev0nsB3XC44ZNm7s2VteBpoeO9110tbb1owqy0FfFDJVyUM3USVppwhZfLIVJI5kICzINaGHOwuJkjb4xPeJ37G910n1wHPJbzttJ0vaRpeJ2vaLhSSu8939nVaNV9r61dJUHUD8wV/M47Z7aofUMWXJw1OnPPpeyjF51iivN8pL3uGuguFbWw0poYIZKOgiIWVkp28klnD4aTuwJV+691RjQrtYc4aZG9j8Y0t3m/e49e/DVH0gGtBbGurjoCZMAdLAaWO4c7c2rxbbLL99Q2uy026b5TQ1Mtc1NFULWzqhJhVcOAIwjr5IOAkS5yyk6ur8Rh5p03GBPx9f1kam0LAG4qoGioORtst7C0GT1tB1kzoVFbeW2th8Ic2cYVFPs28763pSXS4VFVtva/VdrvU0NbbZKVSlKxQ+y0U8cbr55jWNatyhHknq6eCqPfSfTAEG0mzQQQTc2BI2mTHdZ+JYqrUpDEtqFrSAbgCYd/xlzpJAOUFoIE3K1Plbd3iE52tlTPtPifi7jm6/cdTdbVbLzVVVwrqejeRqf2q6PBLTW+keVoJRHTxtXTHy5gMdDHVtPCUKUvdVvYGGiNjALg5z+8MaB/VBE24Oq+lUaxzXGnOpMOzRoGtJLQA4S91RouDE2HKrn4SvHqtDS7ru32gqXHcMlLUywWu1caWgUcLMDGlCtTM0s01LMG6GMillKRN5YA8o5q9Th2bK2m/1NQ+ugbaNYB+JNxdgsbjnEk+GGg6ZCbDckuFwPxQBMxA12jw28K+Ofh+7b62RavGRR7+3ozw3SGy8l7JirnekkjYSVEVXS1VPNT0bVMdQypTtOqdS9f7Qui6HPwXhimKTmNJsQ4H4czbmIm7d4783iNWrUb49Z7XkSNC29rQwkdgXBxgBdqq/ED4huL6uaxeKjwo7i3Xsi4UE8O5tz8NxzbrsVGqGNOq42poYbpCXiaUEQx1OUHfqA6tDD8M8W+EqB8RZ3I7ewk5Xf8Al8lkxWNo02Mc8ZHfhzcw0kw6JidJYBrda9wr4g/C5xulJs7wjb8405e4rWSWah4/sF6obfubbkpyq0Fto6+WmlnphI0rikqDHNEzCOJpExFG3EHPLoxjTSeTq4FrSdzpAMbgZTqSIvVhaOJq0PFBzta2JBzkAQb5cwEgGTIOsgmE98W/FvDX2lvhvu/F62G/764nvdtlunt9utUaXO33dOuKI00kxSFJqaojqFqlZgFkjWFi4eZNJw7EVMNV8VroIiJMAjrOsEeUgGfMNBN5wLHUizFtABka6HYRBOboCQQJDgJEfPHw/wAk8kb85IrvsnvHrY7q/ik21HS0O2N+2OqjFfWWmniSSOpjuFM6VM6tbjMTDExepEahl8wS47GPw+T/AK6iQ7Dul2U3Gb0NvNEEwGkm8Qr+CY6mP+irAsrjyuEtLmySDtl7m/LMCV6Dbq4J8SHOMlLtLws7/t281t1ra01M+/qisnjpZlCJX0hqkjiklhIK08lBcEugD5A8ry2bXNpuw9SXVx4YN5F5N9nGQSd6ZYNzO/puIVX4Sl4oeKgJPKYgDQXaHSAATLhcQJk2+KDxCcPc5eD3kTmXw7bpr4dtXa5WelgulNa6sVNuu9ufyrjSCOYoqzxpIkBEigASQt0nGc+/D6WIy1GmQ0mDcXEtNtRqddrwvh/EsNisDUfRIjONLGWm4i3b1GnUL61vs+rDyluTwV23kzgep4+2Vx3UXWWzbBsu46Casp6GOc2633ieslkdneirLibqxo8BXMKABgwOvM8ZFN2LbTqEte6JywMsF/hxH48t57yYgz9N9mqlMYItpNzsbcl087srS/4AgibQNDpGO8U3gP5S8C20L7fvD/Z9ybi4Spdi3y1b14nudZ/aKLbj11skparcO0pmEXUE8+aaS2FYQU9pkjVCxRcn8WpYouY8inVJEOEgOgghr5mCYgOk7STvMFhn4djcThyalAzLYjLIN2tGw1c2wMiBaUx/8mx3nJ/5tqbQp9p128HhvF5r2kSCGf2WqppKONlhMk0ZZnpbxSn3AzHpz0nB1r9p8LUc/wAUOygDSdZJkCASPL6d9lw/ZLH024EUi0klxaSNAIDgXHpJJ+aid9vRy1eOGORefNq7U25cV4j8S20tpXAmtqEpqqhu21riIPbPZlBkME1MyU3lz+W5kQuVHlgGcDLnsYyqRnouLo1tUaRBOmYG9pgbyUfaGqzBte9vN4zHMkaBwc11juIN43gAxdedn2LmxN02z7VDwn2ba+9n2deq+wVt6hu8tvSRqKKq27UzuY4XLrIwSR1RmKgkBj0DIHpeIOacLXzgwBBA3Ac35TbrA6ryPB6XhYumXDNmExpqDAPabGLnQL6M/wDyhLxVW6zcKcdfZv2a02jfHPvKFysk8NbT1bxR2W2pckjglmiDMySVU6rGkeSnlCof3sL1eK9lsF7xixWLgGMNyY1INvgDJNosLTb3XGeI+BhajmyHVQWNb8sxJ1IHl0MuME8pCgduvwv0O9Nubd+xa+zVls++d+2Gd7r4iecfPNJbaWtcqlVbIp1VmkfzIkQU4aRf9mjiRQwqJF7xxTMY7+JYg5MKz/babl8aOy6E3me8zlDZ5VBtfhOFOBpicZWAzkD/AGmk3JdMgloAjlcGiXcx5fYHh37IHbHh4sXh7tce667bFrirGud4sGzYpJaakvUNM3k1iS1BeSrgIPVUwzoYpW6VSONSVbhY3jTKtUvILzFiQABMaAXEXDbk7k7D1HAajqVGph8O3w2tiTmcS4SfMbAF28QALX1U690WKK/8Y27i/cfOe3LhPS3G32qsFPa46SGulku1IqrDF5rS00qKhhCL1HpqCQv4SOFTxlE4kOgm9gTcwCTMATMfIar0FLC4iizx6VLJIJzDaGn1FyZkmJ7rxZ+2I8Ve+OMtr3TwreH/AHdbJOdN5U94t9dbVhpI6nYeyImcVNbXVclQIKGQAvHG8jRMIpWfqBUZ6HBMAzFVvExDppNgvMiHOJszS5vcCb2i6r4xxOphcG33OnOIqAZPMb5eapFpa0DzGxN/wmI/8N7npbR4TeBuI+MqDw38J+H/AG1uS3XWC3XmePe1w3BcKSpjebcd7p6WamtyU00sUUqtPJLGhhV1jYLD09+rin1cb7w9zjUAMZGkCk0gw0OeCc8EkxTzSdiXTxOGcCp4fhhw4phrHkB7qjodVIcCcradyyRE+KBl1MBe5dTxmd42zam8N0eMXnvcd4q6lblQRW17Ptmpm6jGklTTRU9oaVHkJpu0kq95UUsGwTxqFWi0uNPCzAvmdUdl1gEtLWjQzY6Hur6lPFhgois1rdJFOmWuBvll7nEgSYiTvoVrd43nx/ta47y49snil8fVl5SqKOG7VW1auuorlc6hJFlHtMElwoJaeGn8umUpIsyRL3wA7ENBiG1GBnurS0HUF4A3MkPmTOhBd0EAIUOF4htRuIfWYAM0clPQGLCJNyZLRH9RW+bRs/jUgqYY+N+Vaa/8TS1sFVUz7s2/a7xuOCCWV53loHoTSUglQCePyqlJSh8tgsgVkIpuwJIFSWOb+FrjcjYl4Jv1bbuNUeM0KtJpkhz3SMxDmNAgCAGm8SDMt3m5C3Ta204Nybtss9/5GquVaq4UdVd49i72emouurR1WomqYaKGnJqVilZHhroJ44S0OEVnZ9U0cTTpvc2mzKQBJBL4noXExJ3Bk3AMC44hh8R4MipytcAHNAbIEmLAZhGgbExLtl3298b8WQ0tBvDZNJd+Cr/a6WO1VMNopPu9fIidGWhlhjX2SboYKqKA6sHPlnLKwrrYmq+Q/nkzPXvOqwcO8Rj25oLTpJBAm03Mi2u430Ty47pvlgvFBVy7Z3BuSzNUGVtwxFYaeGnaMMsQDESecrJleseWWkwzZPTrIQQ2LCJEE3n8gNr+saldtlBlVuTMGuI8sTodT6g6C9raBdJsVp3JDtyjiNvtFpv9VJ94PNJIJpYnlPU0bjuCw6ihKkrgAqMjRqSIZNha338evoue+vRdXNRxLmi0aaCPhpp8ytunqYLjSWxKmhWG8sQCEhYuiq5VmRuxKZHx7dxkarc7MANlkbSdTe5wPL69pE94+K2Cliq6WV09jt/k9lEkR6C31ZSPy7Anv37acOKzOIcJkz3usnk/PUzJFWpmUVaGdRCLZ+egSrQ3qkH0ONHMnQix74OiSokaBciAq0A8JwxIZsfPShyshDJ7k5A0cyiGxI9DoZkQELRz9FdCrSl6KQzfD46mZEBBJ74Axog7qxrEIn886maE6TqZ1EksBj00MyYNQ2OT29NQOVoCESAMg51CUUInPc6JenDChsWGc40cyORD0uYqBs3QWJPY/u0cymW6Qcd/y1MxTwgE/PA1M5UAQWOST20cybKUFtTMgBugscDQzpsuyAx+efro50Q1AJPzzouenIQGAz2BxohyaEFgRj0zqZwoAhN6H01M4UhN37D89HPdEBSWMhPpnXGzrwQYrCRhnUzhHIEoSY+Y0M9kCxV5nYjBxo+Jsp4arzO3fOdEPU8NCmMjhRG6IQe/WnUCPljtpsxRDI1/ZaPfaPcdvtk9RapoL0sZVhbmcUwZQynEUvfBADEK3YnADKNVv9VvoVqZfzNid9diL6fE/mtNk31Z6+r29tyOpig3DUubhNRVigVao4OHjCZEhU+6HQsD5Z7nSPqGOy30MC4B73WAEdrbGTbuD1WNv9+tvsf9pjcrxFHTwpFU1NBRMXhj6yredAR+0AJwT8FycD1FbnONwCfzW7D4Ut/lQLkkSdbbHbsOvUKNFbzQu2dxVNnqbxWcj3+jlbcPlW+gRKt7Mzye10sNMxjZ1ijj8/3etlZYi34siyjUJFvKetrjqTb632FlrxnD2hviCGHSJtJgNMiTfQW1nss3zNyFZeMNi1ty5FoLrVWTpN8t16stonNRRTtKqnyBIuG6UnhVGHdghBByoKuL3RTYM06CwJ+u5Wjh9HxK3jUnQW8pBIIjS8T0JM/DdbxvvdwuGwdt1Oz7fdp99Um9doUVXaaima3XG3wPc4cxywShTGWg89j/AIHAfpZguddjAU3EuzDVrzfrlMXFtdF42tXw7qwZWePDvcGRJi9uhPr2ut0uO6Kr2fcctI9C0lTJRw09mlfEsMh6ulc+kUrOjgEsEHT3I7nXEZVLzlba/wAP10Xpm4ANDHOk5Q45hF/3Gndc15Y3su2rDRrPeNpcd1lVVLFVRVLNT+2TSTCBYjNEsy5PXESyOJCyIAR1BtW+KJ5iXR009dR9YHVbuE4Rr6hLml7YESRa07wOoAgjX0Ufa3jeonFdaNy7W3E3JMUtRVJctkVNckCrMA4p6mWmSGczOsskXROH75J7KzHoNqOqNGjmaAuA+IAJiBra30CY4igyr7xRhmaCQSJIbYOMyNvwjt6JqLjZb3X7T8O9PxpyHwBVLbzX2mSvL2x9xT9cSsKFiJXqqsdMvnRysGdAW62Vm1ZXoV35qlbK6DAgyBrBhsNaIAibf8SsGCxOHouD6NbMDdxiSNy0ufc3My0EydWkgqQ/De3LJxTaJKnd9tuddyHdZqKkv1ZfaoVdVcKuCGOlE9PVZxJThjLKkSojLFK5RB3XVOKxbJyMAa0SQBpe/rJgTJ+NlgxTcTXd4lOSB/SALSSAW6CJ66i8mCtR5w8WPBPDm4v+zXmDlTYdgrjLDc4rAlStRfI4vMBjL0FN5lRFASPxtECfdK9Q6iDgeGYrFAuw7HPAP4WuIB7kNIB7TPWFX49PDN94kN5YzOcGtPXKXluY9wSNplcT5N8Z/HG5LPuTdz7e5q3Lse2W6nkX2Xjje0NVHWq7Sq1LVQ2dRDJ0SJ5csbh+rALKGLa61L2b4iBmFOHG0EsuN5BqX/8AGyz4fjPCKZFJ9ZoubyLTa4vIgEm8HYGyd8B/aieC+42y67I3N4hNpcUrbq6OgskO/qefbNfWUjU6uep6+KnjqJ4pBURtJEWV1ETdTOz5biPB8e0eLUoPE6w0uAvsWzaIgGDraAuZTNKu8eE9tRxuSHt16QTN9bSBfQQpScucW+Fjxg7ajqbxx7wZ4j6iMOlur5KK33+Ond0DdDVCiXpiYLH1FWyMKVKuqMOfhvaDEYcmnQqFs6iY+lp9PgkPs9TltTFsygaFwLTr+GYINrER8l5/8beEzmHwyLb5PApzDtzbvHUUklW/DHI1ZPeNpW6oeodKmntN0iU3C19E6TsvV7VB1SFjFnqxufxHD4txq4oZXx52DURbMwnKbaFuUwLHr1H4WpQoZaEvaXGxgHY2cBmudQ6byIEiPKz7YXd0u86bjTxAXzindvgb+0k4opk3Bs+vu11pqvb/ACPZoZXert1lv9MRS18saStUxU0qwVJSSoiMOJca7nDmmmx1Gq4VsLUtmbJgnTM08zAdJuNDNlwajRVIrYaW4inLsrgGkRc6kh1gZAJO+USV7PeADn+0+Lfw+7Y584wtNptFLumuqrt9wwVkUtVa6mFKamqKaRUmXomFRTSTBpGRmjqIg3diR5Li+HNGp7s90lguexJImR0MWkTpovYYLH0q1D31xOV0TOgMXEwZv27mF89P28HC+wOQfCR4avGjtSrpareVvu0m27jK1O0NTU2S4zV0tJBUowDCSjkgjhHUOrE7A4wAPWezOKfTrOwtTcA9eYAZr95O+y4/t9gPEonFU22puidAQTlt2Jvtud5XjN4G/E74ovDFvHY2ydjXCq3Dx7vC77e3vSbHrHiel3m9ru4qkgoJpcihuLS0UyKEAadsQMrNNFn0+OoUXvzuMFs3/plsSRuACPTqACvBcFxuJptFBs5agMCSMwzQ4NM2LoIvYxoSWr9AW/cqcGeKLwq3nmjafIOz+auIN02KartlvukcMNPLV06mRrfVL0AwVCSoYpqdwJUYSLkAZPyvEUquGrCjdtSQNzE7/K4OhHwX1PgWKbXjwqZAaCSQTOUg9yY1E3jcTZfDv9nb4heevAX44OVttW+W+WzgjZF7v1RyXa7bQJcP7N2Oaogts95o6F3LzmlBtkpAMiiCEPIsiodfTcVw5mLw4NTzkAC8SfMBpAkg3I1MCCQvm9PF1cHjq2GpNmiHFxBtygcpnzRzDS+9tR2f/wApdpePm8S3hnvnG9XS7ooLvxLHe23KlaKs7rae41LxVz1PUfN6ovKIICqqMiKAqBV5vsrUztql7Q2HAQBEWuD/AHJMgyrvbkP8HDvqOLpL40gAZBAgAATJtrMyZUdeJfFRt7wPfag8B+I/dtsu3I2zNs8dbWjp6KyUaw1k9DU7Cpaakj8pnVfOXz4etiVzhn6c+4ejiaVarhK9Old7y8X0nPOomwj1HqubTr4ajisM6q6KYp07gEmMtzBiSTPTta6id7XzZ9pt4z9sPaKlrpz5ybuEUxpvfjt+3EErLFFTtkuKOjoofNZhhsRyEAue+3hWDpYamadQ5abBJMSSIlxjubAeg0Wf2h47U4hihiKU53GGtmzQDDAD/wDZxtzEnsvu6+zJ4V448GlJuLwwWriq3wpsJ7rS3XkyKeMjf10neiqfvCqojI1RSO1JPb4w0mY1dJIof2ah38Rx3i7sZS95YRksGtjmaBmBvYczpJiSbEgWC9pwzgNbCgUiXeJVOZxMQ6QIAMkvcOhAygnmJJiaHiG8TnEnh62DYOWec920XGlhcw1dpWvqnFxv1eqHyqC30IHn1r9Mr/s4VLM3rgAHXmqFDEVangYdhfU/paJPQk9AOpgDWV7GhQoDOH1A2m0kOcbNaCbydA50WFydACV86X2m3jO5+qPCBvPnXfVlo/CRNubcFtfYW1rhQwHke7mSoFZBO8nV5dgpI4qV53kCzV7yLErimiaNT6vh/B6bKowNWoKlW+YNP8to/FmcLvPNAa3K0SS5zjIHExHHW08H7/g2Obh2thr3WLnWADGGfMROapYAOysBGY8C8DGzvDdsnj63w8Ibd319on40a27Uu4+QL3Y6TqsdFU08kcxS6bruNO8cFFA8f7OCITS1TEzyBuunjg7nGsTW8ICgPd8MzR75YCbiWsEPe69gIDBacxcTxuBUsOHk44txOMrNjK0iq9swQwEnw2Njzue4FxGVrSxonr/F/KPiV4F5d33vG7+GPiax7On27NuLc1tkutcu3937cjrEp6GSiucVniVPYPvOdBLOZDVx1MS9DLCpHDr0RVw3PVc8MIaHFtw5w3BqGMwaIG1yYleywrXtxeSjTZSfUkkB7ZIGoBbTgkHzHSBAduvSHjfiPxubc8N++6fanI+0fDTso2Gd6GwRGfddxnhkQziRNxzywyB3Lx0sNNHDHFSqVCA4j6eZxKtgjaq4vJIFsrGW5YygPJJPM5xdJ0AF1roU3txLG02AkExOZ7wSSbgljWhoMNEG4u6Nc9wf4gr9tranEHG3Ifhq3fYtzNdn2vWTcZWoJQ7ungpJJJpqh6mWG50xbyIizSq2EZmErxkNrTXD69Vz2PD2gEgPIAaARsAWESdAY2InlVTKRwrDzZXOIBdd9zMBsg9DJcJzDlJBLl6QXrdfhyk3PZtqXLa1puG/L7OJqeils1UldPUwpI6R9Tqkrt0RyBCzdDBJDkDOuWcXiAA0TGo0jYHt0+ELFSwFR7nVc8eHDScwsNdLgDUkASCd1qVm2tQ0E9s5N2xZLrs7ccG7aozvcIvPqKOkcGGoo6moqOqSRJRAMRwO6RyGPyzhez0sa8U20qp5MugsNZGWNeuYgTe91uxWGa95aYccoi+pgXgeUNmwMWFwZhTxtlyo6ih/ZeYlB1NBEZuxnUZGTn1B7/x1jZVBEryWIwzg+Dd2pjZalvBbfbKegvNVeo7LZ3rKSOtMvTidPMBSMs3c9TdKdIyz9QUdyAS2pDgQJ/eDB+Go26rThy580gOa8frbS4m+2q1bbO5Lrua9y2VqKeiMUU80lXUNGzeV57JHIkcfUqyOFVgshUoAfdOcF2UgLza3z1ifqYn4LfjaTaTA7c6DTQX1uQJi2s6rr9LRUlEZXp0cSSEtK5YlpW/4mPxP/QwNLntC4r6jnAB2ydlxoByRW8z6aMpwxJLn541JTBiQZM/HtqTsmgIZc/pqByYBDLfMnUL4UDSklxjtnSeIrGsVi/yGNTOnASC5GMnGjnRAQy4+HfQzJgwpDP279hqZ4KcMhC8wfI6hqJknzPpoZ0waUgydj72iXI5Cklx8ydLnVsIbPjPfGj4myICCZPpoConDEksTnRD04aEgtj11C/dFIZsduxGiH9UwYUIsO/fJ0M5VgaEMv2x6HUzdUwEpGc6BqJwxCLk9uw1A7qmDOqGz49Tk6mdMKaAzg9+2NQv6KZAhM/y9NDOmy7oLPj66meyhYhFvXJ/fo59wiGIDMT66mdEM6oDOfqdTOiGIDuTnJyNMHJsiCznPz1PECPhoLP3750c6YMlBd89zoh10AwoDP6+mNDPe6bIVI0y5+OdcUuJXgsgVeZ8zoB5ULArmU/8AENTMUMiV5hPoRqZ1Mirze3qNMH9FPDVmnWMdTsqr8z2Gm8SynhnZa/dLwqwSLCldH7vciHvg5GVJ9SPX49vzGs760iy2UMJBl0fP8wFDrlnd227mlXZ7bZrVuffNtiivFvpXvFDE9G4Vo1qnWR1NGwL4EvVE7dR6WIzqUHgtLs8NNiYMDseW/pfqvUUsFUY3xCwmDpF3bw0zffqNlHLi7xX7p42sG0U5G2/VQbOvFVDPaN13uokgW+gxRmsmqXhgkhhfraWUNI6h0RmzHh0Gt2AqhuamZibCTl6Tfp211TY2lh6tZ1JxgtECMsaS0Dy3GmkEQRJTrl3ePEl9qeRqvkXbPG1Hte42yeAvernVGmvdHHEZRdqKejgmURRLOiM8bBkMZ6gAU1VhW1czcglx2Dc28XEAz0mR0XWZRc7DNptqEBu8tblJHlhzxrB6Eg67nR+HrbZNwbv2hwf4peE9uXfcrU9Va9v7nrL1PfLTe6ekpoJp4RO/QaS5TQ/t3pmWJngilfDh3VejTrPoZ6+EcMk3tBBJMAg6gWvcTA1uuBiMc52HZQeXMdAIaIvbKHSNhJAJueoDSut8ycQjjTjiv5Z4Ktkth5H2y8e6rVQUVTNDZ92PaWneO1VkZkdJYzC9akeQrxyy+aj+6YzVgeLHMG1YyvtMC2aASIA7azIt3WTiuA98cQ9xJaIMmXRqBeSJdEkdgQVm6Hnbijclp2/4jtpSX6u2tcrIldS0EUsgmpoqtIKoTS0wIjQDpXzADIGQlk/EQ2GpRqAuZk5pg26SLHf4fFd/BYJ9Skym90SAc23pOswbTBGmmnWaP+zHKVtmul7v/Hv9hJld6q2WuCmqvvcBQvTcnqF6Io+ojChI2Zo0LPhektSxrWwCSXxG4j4am3wAJsseJwVSk4sbTJEgy6Ykf0xqRFzLiNo1XH9oXy2+Ha67IsVXdb3a+BamhqbNaGqKSH2K2VWBNGaOkhiFVSUMywTxtPN1Dzhg+WHiZ+i+lUrSRzVAJIEkxO+1pFmxAiRrGbEuFRxLWbgkzodIJJ5nCc1yQQYBJBCVyFy5SeIRN58FeGio2nc9xU5pEreR6yN57Zx9XyeXNTNNCGSatvChIpUpU8tYwYHqJoRJGstmBolh8TFyxkkARD3RqGg6N2LzaZADiDGHF0alJgd53EE5JBbaYJIMBs3DRLyAYDWnMmM3hz5e5wtG/bT4u/EjfN3WK3tWwLtHjajqdpbeqYsyCM3KohmludW5Ur1xLVxQofMTocKGNrMXg6LQ6jS8R39VSHQezBDIHVwcd7aLPlxU0zTijniS0nORpZ7pLJF+QNMEAkm67ZwF4fNoeGOx3TYHFe1dq7IsVTWyXSporFQpb56kSxsIoZalG824So0ZzUVT9cinv3AUUY/ilfFECs8uyjQmwveAIDR2A/dMcJgyfeGMGZxALjcnLHM4ukzfbSbd5eVNwo6qjp2FdOaWbpgjAmIV+rHbIPyJHY/Md9YTUEjqubSwrmvNriSetputW5ApLVdqF6XcNPar7YnjZqmnucUdVT9LkAu8cwZSnpnA7Zz6ZGrKWMqUnipReWkbgkH6XVdLhWGxNJ1CvSD2mLEWMbftPooYckfZ/wDg35Fevv1T4cOCts31QTFdbHtiOzV8c7sMYq7e1PMHJ8spKj9SsfU9111G+02OIyvqucDs6HCOkODrLVw3hlDClootymb5XFp9ZG+szqOmq4DYfs59x8J2i3WnwleOzxa8A26lq5XoLRuprfvWwWyMVDytHBT19OJzEJKmdw3tSsS2SWx20v4rg6z/ABMRhgD/AFU3OYTaBYEtFhpkAjQBVChjWU3U21BUzXh7Q6S65zGW1Mx65ifhYxf8WE3IFk2HuzhX7STiTjfxb+F27NSVFw35xdDUpX7VKKyx1tdtjqasp2WTLJW0U9StMz94egdJbAilTqCtwusfEEjLUgEz+EP8jraghpjS62VqjsVSNLHYcsZFy2XDUcxF3NAI1uCdSIJXjB4O+e9n/ZX+MXeXhbs/M/H24fCXykKPcGwuV3uUdbabNBURFBU1U8aAVESNAtLMqrF1z0sDOYoy/R2OI0RxOgKxkFkh7ACDI2DTJBM8s6AzeIPK4Vi2cJxJw4YXMqQ6mXQL9zIF4EkEkWi5Xsp9qlatqVX2THPXh/2zYJbvDszaFvu61vtEDNJJba+kaSvlkXtLJLI1QSV96R5ZG7AONcHg3EXV+K06jPITA7AgtAgTsB2A+E+k4l7ONpcNrVKji5z2v6kyZqamOxJjaAJNvIrwVfZ38c/aEfY7WQWmeybI8UGx9/7rGx93JX+yvSyF6arWhuDBS/sksj5Rky8UoilT0ZW9rxjj/uuPaypem9okRJ3FhuY166GNV894LwB2OwcUpzMJykaTMzO0W6AASLrgfEniw8RG27ly/ads2C98b+POw+0JzNxpXBae2c126ji6JL7RUUhCQbvgj95mgUiujY1CpJ1SJrJxDhtNzKbHn+URyPky2dGHcsdpe7dJEX7PBOKV2Yh9TLNdtnssc4/EWkCAQACbw7eREOtseMDhzjj7bXg3xsUe8diWjw8cqW2CHfArKrzYrTS1lta13akvsUkS+RLFVUsck0ZQr0p1L1BgNNwzD1Rw6pg6s+LTkaHWczS3UukG0dYXP9qRRq8Qo4nDEeFWa2Lt1FoIkBpaYFyIIkkBQt+2k4Jt/AHN2xdq7J3Pdo+Grptq47g2BsetqGll45slXXzypRIT/c008jSVkNLktTxTrGxLAk9P2bxQrVHmo0eKHNFQjQuA01N2izjYE6dVyfbLBGhSoupuJpEOygxNozEEDyk2bf8ACYAFlH3xVX3au7/tE+YpdlS0HEOz6rdy2emnpKpKVbDTpSw0lRPBIHCK6rHVOoVgjMwUdmA1fw8tfhRUqTUBlxAvmGZzo63ED8+qxcQYaXEWUaJ8NzRTbJMBjsjROoAykmPSy93v/J7/AA+WDmPxk+Ifxy2zjg7f4l2eG21x/SyyrBFQ1FTEIgoPq9TBa4Yg7AdpK5nPc5HK9pMc7C8NDarhnqk5tdBzOjtmIaNLAjquvwPh9DE8Sc6gT4VIANt5jAa0kWEmC4jqR6H1IvfiT5T5p8WfiM4T8EV349rdj1cSvvnlK90puG39kVVTDRWuS1UFGgSK91kTWv3IjJ7LE89QJZCIsHyuD4bSfhWY3HFzGaNy2fUGYvls2aDJ5yNAMrZIX0bEcRr0sSMHhmirVaJOY8rCAY8Qg5s0GTTaQ8zDi3yiYW2eF/D/AOBmPkjxIb+ve/vEFzbQ2Ses3Pyzvmpp7hcqKnijXroxO6ilslIArstLSiJgo6GWVgoZMbx6s6j4GFZ4OHcYhsnMSdXOu6oZ9ROwWbBezIxlSnUxbw+q2S2eRrYBJNNghrR1MXmS83K8I/D14Tt2/bYeJu6+MHmTc3I1J4BNvbzvFm2hYRdJkvd5qH6JZpIJET/ZaZ5RCskikS9MENLGFaMuPSYZ9HguCaarA/EVGzB8oEmM17/isLOdmcTET5rj+MPH8TlwrhTw9CADaXENuQdDFoJ0ZeMxK989m8I8K8Y7IsvC3Dmz7zxl4YrBbKivgoKYPdqHcqLO7SGOqkdy1KsxYyIX86qaCNVXyghfy/EuI1a1Y16wBqnLlAgZehy//wBQBDZDjzQB7r2ZwLcFhm4fDuEgwZkOuNCYu50gEmS0Ejqtf2/Zrly7W8wrVw7blgr6kWLfdJWxSX7asFTF7PU0oq7VMzeZXUsDxKY4hHGnURO+QvVQ2qKcPa4iDZzRDnRIeWmLyZGY9OUHRdTitLDFtNop5xlgNcQCAYgGIhrtS27iDcAQRpUvG/FF1s1j4p3PWch8kcR01miuMVg3DKbHarHT0MwKmKy0iwEGZYXlhjkWoDrD1ZCyK2qa2PLaj64aA8df5jiSNJMtDr3jLEjoY24fAPcyGnLJykMGUQDoXQHFs2MmD6RPX+A4L9aOPOLt20OwFpL9bIhFBTUFNSW970zq6zSsDGhjjjWsOeoonTCesBlRRdjMVWdULHOkC13WEWJsSLkE7mTa6wV8Dgxn0h0SYJIGrGjfQNAi42sTPbd+W+yb+25Ytw2rz7zeYKqKo29XzuAJa1ZeiGojZSAj+8yLJGAWUOTkSrnnGm5ri13KXWPodZte14Olt5V1AhvmgsAkjpaTE/WbXjYrdto7FksewRsLc12XdD2q3xtQ13nMI5qcSEOIWLOQwjY9XUuWwGKn3jpnFlQmbAx922+wsGJxxFUYik3KXOMiJg6jNMTewv8AGLLctsXK27K4stuyK67x1tfQ0UdBH5XvtUxtIYUlAOetyBg49W9/sHyBWxHibXOwt3Pp+gWOpgn1MYawFjeTOwm++sX+HZK2fZYOQb/953inq02xtur8ihts1X7VTyXQAsZmOWV3pllRUZDhZmlYEmONhrwxFKmXjV0gG9m6GJ/qMjTyg7OK53GXZSKQ8xhxMAE6ZRESLjMQdRlncLtckNbRVNRLS1hrVCKRDM4VYckjqAUAO2BgFiDgYzqnxbarnsaxwEiNdN/2+HyWQjuKB/KkDRyAIArsvWxb5gE49NAVRMbpThz5hpf0sm8V3VoKgzRyRPG7oQ646gvYN+R+fpoPqQ2VZ7tzANvp9/BHtVRPNbaCWpjEFQ0KmROrPQxHpn6aszdElemA8hukp55gI9ToGok8MpBc4GPXUNRMGJBk9fe/dpS8pw1IMn6/nqAlMKaQZCPU6IdCfIEkyfXQDwiGBIMvz0fETQhmT66BqIhpSDLn56GdNkKR1n6aGcpw2EkufnjQzp8qQXGiaibIUkvj8tLnRDEIuPnnUL1YAkGQD8tEuTZCkM/rkgaOYp8iEZPU/wA9QP6JwENpO5741BUnRMGlIL47fHUzJwwJBc9u+NTOE8IbSAn10DUTBhQ2f5HGlNROGdUJnA9PXUD5ThvRCZ+/c/8AhoF9kwYhM+fTtqeIiGFBZ/kc6IqI5EIuCe/y0M6YsQGcH6aJqAlTL1QWk+GcDU8RNk2QGfGR3B1M+yIpoDMO4GiX9U2RBZxnTZ0MpQWbt30c6PhoDyfu1A+6ORSGM3yOuP4q8GKSrztAVFDRV/OGiagAQ8JX80euRjUFRDwlQmHc6gqXU8JNqp53iIpmpQ/xEykqw+XbQdUkcqenTbPNPw1UfuQJWlr7bYbaXp7vK5WI2+GXy6TAAPnuT0lCScAKCvckjBzjqjxLD5r2PCA5rHVnXbGjiL+lp+N+wWHoePto7StF5t19o9qxbeuUr1t7tVLH5zXqsZ8u1bIoZ5l90ghlY490MqL0HY7GloHNOXTYDuBoOuwm5krOHOxNbxcO0ioYGc6gaCJiIGl7a63UALzzVtzcfHNfwXwzS7evd3iMNFbrmJJKKWnqYYZDFLTrIqx0opYklDTVBipSsXQi1Rn8g9PC0nNeatc5Wm8HeTqTJmTERmcTEBvmGzG4EgtquBsSBEW3sA2TmvYCwnM5sKJvJ3hn2Dx1VUd5rOWfFlUc71sEpuF0485OktQo7a0kRraK2baoIZaGho6nyV6Y4I5gkiJJO6gFj06fFqeJ5BQY4DUuaS5xvlLqktzG97tAGgcYWCr7NYg0/EbVLGAQ1gbyCwAIa4uJiASS0k7RMrlm09k/bYXOg2LRcLzcV3qHbm4nvcR5bjttBe6I08MlIi3entkk3TUz09QyOw6nlDF/MwwIuPD+FsqPFSsWS24YS8Cb8pLBIBuIJHquBiOKV3YZvhUxVbIALmuplwEGDzm400EHUNK3/eA+202xR7Ysr7I8Nl3sl1VVr/8As+sFvu1NHNIHklf2O53Ckj6WwqZdUJVnOTJ05ys4bwhxzNxDjHUhh6ASKTr+k9NLrq0OL41x/m0MrgYJ53RfYio0kCNSR10Wh8R+KDmXwhwbJ4T8UfBW6N0bH2Vt5Ns0d2jtFTtO/VFPFEiiL7prZ5rTe0MUiqUt1f5k5EixwuVXq6PFeEioH16D8uYl1y1zZO+dk5b/AP7Gt7kLDw7ixcwNbDxIEgEGN4pua10gjVhqRHeF6teFbefDvOtNs7lPjuz8Scs2ESy1kO47EiIKQw08cKI9FUKslNXRgxeYr9MiN1kDIJPlq2KxVF5ZUeQRMg2MHadI9DBHZejxj6FbCk0y7I+AASTJzEkntawix80Lslx5etGxN1XLacFp3LW8h3u6TixTyUFTLHNK6RtmtmVXSKihEjeaD+zC9KjEjKNZMHNSwIyDUgiRfWJknp1PaYHEsJ4lJhJs0DlggGJs0wBmMSDII8xtqFKbam2FnltNTbNx0Rijpdx1YRZKy7VcwMr3YTg+Y83WApkBzGjqhwIQAcXxDxCYEAWA2AG1x13tJnqtHDeGPYwNeC1xJdYEAGzcsaRA0vMAhdN2Lv6jTbu0dmXCit+3Llc6cPR25KsPijRwaly7Ae0GNCXklXqD+bCwZjJk2ueXGXm3WCNrAD6D9IXNxfDXNqurNlxaTJ3J235bxY6Q6dF1qG41EiNfxA1wgpw8EaAHokjGRKQvchgwxg/8LYxkjVLK0c33CwPwrZ8CcpMHvO3rb8wuT7s38dqX24VNHcbNNBBc6OWqp7rV+yJRmWFoozGhXCCXocfIv0tgkkGt2INyDBHbWf7LtYThAq0mBzTzAiRewM/GDFrWm61l+TZ54bpueSmrtp7XNM9HDV3KAxU5SNmJkyiyFjKskZSHCt7p9CcEjMBmNidhc+lj8zp8luPCWtcMMYe9tyB3gbwIBFySddFy6r5b5LpNw12xtw3ri7ate1JHeLBLtygq7lWC1pUrHHFVwzuoSYmUKiIJgJCgOCQTrb4TgAC4nQ+VoDjtJJmPhaToFmPDGBprFhLASOYzmhsuIa1oOo66ddF1vZu+N7y8XVW8rHvHcW971bqycSUt7oYYXuUdNUBZonWOngaknkQMI1YdpHQnqQ6DatNpBqjKOxmJ0uSZBtptcLm8R4ex9bwaTG8wGkiCRMAEmY36QRqFy7nDmHg29WKXc9ZerFvex09It0lSx22S73GECISoYhBFMYZlBVzEelusIcqcMLMmIILWAkGw2aSbb2M6arocE4S5pFR7cjhaXWgAztDiJ0MG0+h+OjxK/ZE2Kr+z/wBkeLvw87Xv9FyC1srd+7gts9VLJ95bdqqiWeKNaZx0pXUVPJE7ohzPGJB0hox1fTcJ7UNbjPccTAiGz/zAEydIJsDFl84477H06uDdxDBg3JOXq0ucZ+UbCIINyuxeCLxHWK4+A7xKeGvdT3e5bA5F4j3hHxzf6yeasqbbuW32hZ7hs2pqsAMUSmiuNH2zLSz9J95TrFxPA+Fi24sQ003tzDQEF9n69y1w0Dhay3cB4r4uGpYQk1A8GJM5YY4OafTVpuS0ncKeH/kwW9aG+eDjxM7HlEEl3tvI1Nc6GRKcNJTtVWmF0YSKpYAvROPoM49dL7ftLDReNw4fI7/PquD/AKfYh7iWXytgnpDrdYMR8LLuH2wf2cd/8c1o27z94Yds3C3eOPaLF4rrZ7qaMV1PSmST7sat6wDcYGUimkQh0cGJjGrjp43sxxp1N3u+JjwHTqN7XA1LT+K0bySF6r2n9n6LcN7zRdlrMjLEAmSJJgW1JBPfUElfHp4kN27Q584uu/N+8pqHZHjTt+7TYuRLNJTCgl3VFLTPGl1ioQix089PNSGnqkwHMs3mOGLEj3+CovwtVuGu6nBLTcxBBgu7zybQIC+e8XrUMbhjigAyuyBUFgDsC1syTu87GdBCkh9qNu/afMW3fs4OUdr23bdvq79xQlHcUguHtVVV1dPdpaZprhVN+0edyCGMxaROhgztgdOH2ba5lbEUHnyubtDRIJgAWje3buT1fbqoytg8HiQScwIuZJyhgvc/DYGRAhefB37fuBOQ/EDZNi/2NWS5UF/2BNWUTfeMNHbqiqWKdrbVSDqJeGBoFqvxmGaQggyZ12qf83DskmDkdplJi4BGwJglvaNF5DHP90x1UhgzNzAAnNlJGWc34i0EgO632X1FfZOcP+JTxF+Brjng+O6bi8MHgdS71tdvi7W6oEG4eZbhV3ICeioZY+ma32qOD2aCSpJEkxQRRHpLMvmPaR+FpYsYjGHxKjQPDpGS1sAuz1BoSTOVl9czrL6H7DeOcK2jg6ZYSXF9aYOkNbSmYMWfUAkXDYN1662fZG0uNecL3wZwRf7dw7sX7lrNs3K1WGhdLXs2ww01LWJO0XtHlRGedLvTxxExFZJKicNJJGQPFHiTcVRficZzGQ4k5RmgkBg5b2gnUZRlGWZXv6fBhgmYanhqYgA5AQ4mXHmcfhBDjd7iM2YC/mp4hud+bvtWuU7j9m34Wqqh2d4Kdo1EU/M3IO04ZZqWeJJ3f2KnnmKo6eagjVCze0TxtNI0kVO7P6DgOCbQp/xniflEeGyzZMW9J2AAyNuG5i0DyvtXiaZxh4Rw1wOIeIqVHGS0WDgIF3R5zqZNNpaM5XsDeL9sXi/g7gzwmeDzYUm5NkLX0e0LlZ9t09XUNbdsOZI6+c18aAmriMhqJJoy9Q5lMgTJ615OevxDGuxOJMDXmAAMDlaGuI5dGgWBFidl2cFwejwTDRzACIMiQ4nzkyQJ/wCQIkERuui84bz2tw1ypt5d4cp8SbYt1ptCU1n++rrR217fUzsqU1JLJO3mikWSGCpmBPSQsLBSyHPBp4plRz2eITUedhMakut0BIA6k6L0XDMOypgjkw8URr0cGxYAak6Bw0gi8rz/APs77tNxDfOX+D9vc07E5q5zvW6pN1Xi8Hf1FdaLdNfPIDW3qiSnkLW6jYPSwLSy9U7zBjkxwNI3b4yaVanTdQAp0aYyiWuBAAsHF0BziZMNkNAzG5AOXAUTTL6mPDs1TmgRE6ZWtFw1oi7gBowEm655zh4iNh7L5W8RfCldV74pueRYaS3Q2pLZ98oxZ3Mt1pa2NfMr54mqKiFKVEgRZZIoWjcTOYq+HYCrUoMdSZNMv1BgW/Dc2c7L5nE2kiA2/oMRj2OxAbVqAEszAEZbGRmiILWy0mJNiJktmd/hZ5N2RNtK77X5Bt+1ePhYKC2Q3e0CpS5Ku4HkllqTU1sbolbPn2JPLCqPPldT1lT058bVbTfna7M7MQ0gQIAiWA31mHHRom2qy1MJXqUmmk13ML5jDg0iwIvkkcxHQgDopabtqK3kCmue37dPLLYkplepKTwIkdb1RACJZCfLnQPO+SEJwvc9gcPvByGo10XEdTe+2lo1udd4oZg6eHLWvbzmwEHywdY/+MAyI23XIORfFlw7xxx/uravL/LXHXGW8JaOms9ZS1letFUW6vq5WgSaQzENBDGqzTRYXqEUQYBUKkjD1KdWqGGS2QDABsLnQmTFjGhIBMwFXiOH1GPbiKDcwBJ80AgbAmLk6zEmYkgpvdfFJxhurb+4t38UU/HXK1o2tNSWna9WL7FUfeE1Q1PQR0qCEEo9SagK8g6jEOjzEUDA2kVqpMENNQmZEAfi1MCGxmN9vll/hzcKxlTE1C1xBLrTBBJ2nu1trk21ujw4+ImgqtjUkD72J3A1yraqpsrUcldXNcJH/wBpqmWlULJQCpkqZBLCZovLMb9QGcHGMqMYHvBiOUmQA3YkuiSW7GDJsE9Xh2HfVIawSYmCNZjKBcggw0yAYmSFLCk39fEt833hcIN3XnzRVS0dHbJIA3XjyVYPMfLQdSBRJ0s5BYDPujEHEjk9LxE/ewmBvuqG8LZnEjKNJm4AmdtYmSLbLeNt2FrA0N73BuO8723e0TSskqJGsLE9TrFEoATGeletmOP8TZJNzqtNtqY+Jufn8du1lz8RWfWHhNaGU5i2nb17/ojwXVK65V1NUzma0irE3m1LLD1xdCyABiBkBSFx3PvnJ0oc2QSdPz+4UqYc06QdEOiLSY2/OTPYQtw2vdXuVH51PF/6POZIpulVWbrJYdIBycBlBJ+OR30zZAg7WWDH4cMdBMn8tv8AELaDJ6+8Bo5gsQYEkuM9znUzoin2SDJ9NQVOicMKGZfUZ0A9N4aGZO5x66BedEwYkGTBPfGoDNinFNJMn1J1AU3hpBf1wNAPRDEkykE+g0A9OKaCZs57jOpKcU1bzR9O+hmTZEMy+vc99HMERTQzJgdwBoZxMhOKaSZMDGQNHP0TCmUNpB886AqFMGJBlAJyc6AeUwpoZl/PRzpxTSDIAD21C9MGJBl+udTPsmDAkGYehOpmThiEZvroFyfIUMyZ7476mYJgwJBf5kDU8TorA3ohNJ39fz0uadU2RDaX9RoByYMCC0nbvjGjmujlQGkHzwNHMmyWQWlz37Y0Q68KBqC0v10ZRyoLSD0ONRrk2VAMvc4IOjmKYsQmkAz37aIcgGJu0g7nvnRzFOGbBBaTP+mhmKgZZSAabA9dcV1ReFFO6T54+BONIaiPhJXnd/XUzhDw1fzvrj9NHxEPDV/M/wCYaYVFPDQaiRzE3lAPIMFRnGe/z0xfIsmpsAN1od1u9iskVYbneX23C2HlDwrDGwyF63+DDJAJDY9M/DWc4lrCDU0XVp4HEV48FuY7GZI7CdO1vRef/NF1uPJG7Ytm2DfNPtbiLbsdLe+RaxnWKkrKCSdvIt6U8BDs05Tz2j93zo1CHzBOqyb8M5sjFZdbMHmJd1giLSLXgkWtb0+Fo1aDfBfzVnTGzmiN3TI3AcPLBuIJGI2DwZFFvyPc+9jyBNva82efb+36/wBggi/s/YGqvagtRb5+ukSSV+gyRGLppxFSRiNelm1pxHEC0eC0SGmXHMZJ0gPEG0m8nMS4iQAsVdrXg12ZWgQA0TBMXMC5AIABsSBc3hSd2nxTZNoWawbgs01528plFT7PUTC8Xi8MqOsRWsqlaRZiGRxDEEiXGAigltZqmIe85AA3sOUfH0GrnEnqVkqVAXvp1D4rhPMZDWzBMNFgyREfLYLnvJln5UsMcvK9um48p6O32iahv9gqtx3O3SX2CN0NPI/sUEgirEUywrBiaL/aQiv0hRq+k2g4BheZm3IHAEyCLuEg25iBpMLmYWviRW8KnQDw4iHyBAiSbtIF5OocQLkOuOY76qPFVc+OKmjs/CmwOIN03mrprLaquTlBrrUWP2qaNWrEpIaBKeompF86UQRVKySPTKOtuonWinw/AB7c9fNFzlYbxchrnH8UQCWwJlbcNxerUeS1pcA0+ZoaZi2YZiQ2SJ80iRAla/vn7Pzj7f8Ax1Hxhy5unxP7s20zQztua58t7hlW51SMHjkuNBNM8UTNJHTkZhkhMgGVXAQ2U+NGnVFZtCkInSmARPQjm32cCsL8M1zXNbVcS4AZARBjoQA2xkxFhoCvMZ/BlyL9nDyFu7lfwheNam4Vp913arudTsHmi2W6TZ27axHCSRwR21Y6hagRyEJJR0paMFY2CD3ddapxzC8RLKGJw7g9os6mXPcB1LXAyOpc4CZg7rDhfZDF4cVK2ErteCRLSMjZdcQ4EBkxa/NEkELvvh38bFl4+Xa+xvGB4Q+VPDX4p973KuFBf5ngs2296VHUzRzWe+XJ41ik8tkjioplEpVB0R9JC6y8S4HVp0szXNfQZEmbt/72MDi0k6nTq5b6PtKcTinUc/hvkgNIL22As10gOEX1aSdGnVdL5n8Te8Np7vsWzuNuLqbcHiBuNYae0x7d3Xt+43PcVOZ4vb4LjRPUxKZRT9U71KMqgRdB8rsBiw/Dn4h13gMN5PiNaAAY5iyCJsNSSR5rruOrMo0i6oHPDNW5ROaw5Wh8i1yIsJcbQuhbh8etr2Jtq8UXOPDHN/h2G3Zo2sNVujZFRPRUUUUMYqbSbtb5aqlE/kPKI5/OjWVOhiUKd4eCYyqSKMVQ43yOa6T1y2dHq2y5WExWCLxWc7JIJcXywf8AcS5uWCRoCbyACpM/9pkdl4+2Vdtvb2oN/wBBfBItllooKSrprxHEGkV5a1Gy0EscaqXUNh5cEs2WPIqYmmWua2nzDzXNtiCI19YXcp8IrYqvnD8rQZ+DtABpIO8yQJjQLmF43w3KfhVt+9OHdmXvkeTcFLPQW377eS3w0lC9XLTGqrnh6qtI6WP3swRvU/sh0oXA0vu5Fbw3PDIuT5tpgNBvm0AsL3MLcKgpuf4kGIs0kEutbMQA0EiXE6C4Gy4NY/EpcqDaWwNv3G+1lH58NNZRFuKknqfui400Mq+2090kaliejnngqIY5pmRz0I/qpiW3FYdxe/LMC+05ToIuQYgkCdxvK7mHwVIDxKpGczmLTIJJBcDHmyi8wATrElRfqfFdyPuTlyLbG0Wh8T+8LJVTbju1faLRUfc20vLR2o7VWyB1ovNqaeRFNa9SAHSmPSr9PV0eH8KPuxxTSWUiIDqhAk6Ogz5QZsAXXIk3A4nFOI0aFT3MiKpjlpy52V1xygZszosOVtiSMsE9V422Hybzxtix8w7l5L4y8O20dxVNrqKDaO3qiq3VBC6TvD0XCaqq4Kaohk64USDyp4UdXETK5zq5uIwNBxbeu+4JaGsAO2XledBqQ0kaxdZTX4nVLhTZ4eWSHPJLjqXTlDAO7Wut/wAhZRG8TPiZ5Z+yp5e4+s/M/iN2t4i+PLjcqu/0eytu2WKxX631kj+b7dBaqZ1hqKOJ4j0UlQ/QPPaRZpGHlptwvD6XFnOGAY/xWtjM45xvq4jlcZ1AMARlb5jxanExw+gMRxEMbQqHLDeR0WByXJc0Xz+Vxdq4iGr0E8C+9LHv7wq8BWGkNZ4k9yNx9aq+Gu23K9JaqVpqZVqKNXUinYpNCsMnmF5FYt1iJSFODj7HHE1mUKQDA6JdqYvOlhvaARFyV0+BycNRxtWuKQdzZRcQZibyTBMA6GY6r5SftEfBtvn7OrmXe2yd1UO8KDwY8ryzXC3yfdHW237tDG00S04SQQCtopqh40lhlImoJpkIILxj6dwvGjGUG1Gia1MQbjmBMQdbOi8gQ8A2sV8W4o1mExL3sMYeqTpmlh2dFiCLkf1NkGbqev8A5LByjbrfyl4u+GLtcqS3zX/aVn3FSwyzkK8tDVSwTrHGSFZui4Re8e4ABGsP+oFEHCseb5XEfMW/K6r9gcS5tc02AkmDpsJ31ESPVfZFTXmTam6jbKa3W1LbcIWlpRFTsFopkUSVSPL/AMMgMc2Rks6zMfidfKRiHEFwv92gdB8gvq38PZVZcmRP/wApJg+uwmLQF8i32+/2fG1uU73vvxx+FraFbLdbNSdXK9PbaENb7qY5PJa508kWUarjGPaVGA8aiXJkjkDfQ/Y/2me5owmIFtGE/OOsf0nQG2hC8Z7X+wD2UBjGEeIZJbfMW9YIkEdNSNrSvkgvW5L1dbVt7btxulXV2q1w1EduhkbqSijmmM0ojHwDOxcgfEk/HX0JtBjXl7RDnRPeBA+QXyXE46o6k3DvMtbMW0zRP5BY++C2Rmaos3mtRm3U8kisrDy6j2dfOQdXdgJBJg+h7Y7Y0aRe6zheT8pt9PuSq69NgcDT0yidbGBIv3Hp0X6cPgu3BtnYnhF4P2dyekWzqu27W2ek8bQSxSQSLZqZTG0TBXBcUo7dIU5OMjqbXw/2lqzjapcJl7/z+O5vfppZfpfgWCq1MLh/dCDFJpibX0M+s95B3svm88YvI27eUd82fwReFmolu3iV5Ov0+891SUlzcW3jy1vJUyU6S1XWZImioKyaoqA3u0sdZNgNLLH0+k9neEU6g8XFWw1AQSRq6wdDRaAQ1gOr3NDRbNI9tvairQd7rggXYysYZBJIZNnE7ZiCQIgAl5EBk+0PhS8Nvgu+zH4b3bwzvzcPHzXOOxf2o3TuS9UiGDcVOlM+LuzTF/JpgjLTJCoCwydSg9UuRzPaD2pq4t4fSloFmgay46WElziBN77CAs/sZ7KOwlA+DMkgVCSWyRMyJyhrAXGby0S4nc1Bt7xE/arX+3c47U5c5G8EvgWs1oltu2Ku2UslFuvlOjeSnqKivlzJHJa7O60kSxNG6VVQisx6EcY0nAYfh9N44m3xcQ4z4ciKYAMB5vmfecl2ttNwuHX41Vc9tDg3+1MmpA5zMAUgW2aLgVNTJygNgnitV9kpb9lWjh/cFkt/F2/bzer99811ku/Ey3Suq3NE4NPWbleeonpI0pGZ1mkHSamIDu8uddF/H6kmjSe9oY0glrmtYDIl2QMbN7AAzl6CV1sNhsNXc+pi2MdcXqF7qjmyQGgucYMiSbgDW1kypvsxPCVxfbN38cc5WrlGxMaKqr6i6cfKljse64wF/bigiMy09dDJUxUyMxjlKSU5YSe904j7U4lzYpN8W4aA5xc4TAAtkBDiJNiBBjRdDC+ztKW1cI5lFzpkAZdZvzZiMjfxNImJkLkfF3EPIXhB5eu/H/iD33uHlaGngqb9tCk3JRTUdbWVNV0wLXVG5KaJlmqba9RPRy108LrTyVLVAKxTB6XVisTRr0ctAFoPKQLtaBckMmQHxYAy5oLQJJzY+G0q9GqOcPHmBMZ3c0NDjckCQ6JF3Mc4w0Acir/FTx1xNzly0bNtaw86bsuO3ZLhBeKXyLJTV9JFJKlYtdHIqw0UCTQTyT1EJlmquiVF9sDpIMQY+pQD2O8NrXNGZ1zoC3S7reRggAxOUB0+r94pU62WrzVHgkNaZggkOm8CN6jtL2kNa2QW1udvFd43bPV2HwR8nS3WgXyl3RuaPbkO29obYeSpkroloHYTXu9TvG0paeFKdZBIOmeF8eXG8Cw1BrKnEQ5gGgcc1R0DQUmgNYBP/uPN9Q4TPmsT7R1Klaq3h5p1HOFi2S0EhrTmrPOWRAAbTpmBJ5CAu8cSfYiWG1HeHJfJfL1y3Vylum6G9Xm61PF+0o1EToqpTxw19JXyU9MFMf8AsoZTkL1Et31rd7XMpU2YaixzWMn/AN5wJPU5AwOM+rRPKFwa3DHVcVUxFapTqPfAk0i7yjytD3HlEQH+c3JOqyfKn2K2xd70lt2c/OfNlj2jJdVr73b9vx2TbkVdUhg6FKWlt1PDK6sHkA8vOGX3lGerJhvaik2t4xoBxFhmc9x7m7nGw6wAtT+DPq0crMQaZMkljGgG8ictmgmATJMi0rdLnsTem5N40Ph38QvG+6uZxtBIIK/cLWq3QWC42ieSb7muUSTVkaGqKU08M0ccXRFJ7VC4khdfMxFgZ/1lJwGbq7mzbtAyuMXacx7Ecwt6nhHEqTqRw2WHiSIa4WESSQGwP+LSSRGgMqZu3NpcjcW2fZdPtra9Zunju3yimpKOS6R3K7WacKYxUO5eDzFEatEyyyOySdByynXLjxHudmGYz2AB1AkQD3AEgdSrX42lJa4kEjm5TLoMgfiJEEnr0NjEgbRyVY7ju217eusG5L21XQzVEAe2COO3wRmEES9A6YijMASWJLN27DIyOqcxJiBuSL326/Abd1S7h1RuGFWnyOJFrzJB69RsY+azOya23X7c+975czaUs9VXrabUi+WWuMcEMZqHfpJBX2gyRlQB70B6s9hq2li2Cm3nBzEutFgDA7ydb2uN1i4hQqtDaLWEFgub2LiSIm1mxB6G1l2mS8UNLQirRlNGqqQVXC4PZcfAA/DQq4poEk/Vcengnl/hxf8Ab9lq9m35b7xJXSUlRTV1JFOaWM08gkaomDEMEUfAY/F6Zz37HC0qxdfY6d/09Pmt+M4Q6jAMgxJkRA7n46enVbZSTVzRM9b5KSkkhEJIRcnAJ+JxjOO2dXZoXOexs8qcGU49QBo50BTSTLj1YaBfKbw+ySZsd8nOoHHRMKaH5w9DjUzFN4aQZj8B30PVMKaGZSSe41A6E/hoZk+uTqZ04YkGQfPJ0M6bwwkGUfTQzp/D7JBlP1OpmTCmhmX5ldAvTZEgy9vxE6hqJgwJBl+BP8dDOmFNIM3y/ho+In8NCMx+fbUzJvCSTL9RqZk3hIZl+pOoHpxTSDKM/A99AOTCmkGY/nqZkwpIbTHHcgHUD04pwhNMTnvqF6YU0Nph89DOm8NBacZPf+OoHp/BQ2m+uiH9URRQmmBPrnUL0fCQTNn01MyBplBacYI9TqZ90xp9UBpR3GQBo5+qYUrIbTD17amdN4abtN699MHqCmgPOg9XUfrqZ+iPhpu86EfiBOoH3T+Gu/GUfE/n31wTUXhQxI834+6dAPRyJQlHxI0c8IFqV5w+f8dAuQDFfzfq2iHqeGsDfK2qEBSgqoKWrj6Z19oysE6g90eQAlQfTIGR64Olc6TGi14Oi2Ze2QbW1HcDdR934N13ikp7CtnoaK01UwgmkuZnrTKznCLSwI0aEEv0t5jKegHCnsyrSJaZNjtEfEknS3QSvUYSnhwc4dJAkxDbDqYJNwDa06nY47Y/BO1tqz7WqNvWmsprLYKprxDE9b1pdbiF6RWGAFwmA1QIkR1RAVPSSEZdjsa5zi9oA2HWPWwkiJMT6SQsOMxeZhpVXXfYwDyj+mScxAtMzJld+vlrpty0C0S0FbTMJkmieQGLy3U5z27gEDpOPUE4+B1RrYrl4aqaLsznAgggxex+/gVerq7dZaRKyWmrLrfJFYxqpHnZCnKqx7RRgKcn0wCT1H1ZtS0D79fv0CDaFSs4izWD5X7fiJn19AuS712xue/bhs63bc9LUbSCwXO9WaC0pLDXNH2p1jq3JdQsyLM2UAcQoBgnT+KxgcWZidBeNbGQB0ka7rdgyC1oYwCCQCSZG5tIHQbxJ2QN9bSstbYbTet10O99xWzbMjVdNa6W6LQlmkp5IBIqiRGeXy5nCdUqYY5QK5BD4aodDEutzSehjQ9O/Q2UDyXkUIDnzcCZjadPp3JgBFotm8l122knsO8rhsuluVPPLV2rc1K16jt8UzDojCPOJ1mji911NQYzIz5VgANXVX0QSHiI3aQJPYQWxO4EwO5WDxaJeHluYiAAOWdJJIgdYhthFxqo77Y4WvO26mnuForW3xydVU8Vlp9zbvMlyrI7f0BZA0iFY6WAdMgSmpgquABP5kkjSaqr8VdWaKVIhjDchunYkky8xubN0aAF6WjgaVIOq4k5iy40bzG8NGUxqJcZLtc1gue+Inhe/wDiK4k35wHzhNRc37earpY7xZ7VQx01LURRtG7z1MzuZqeVIlVlCFJlZl6S+SzX8JxzsNXFeiSC2bk29MoF5NryOsKrivDMHXwwApANqWAMF2tspJgX5sw6W2C8vNtx+Jn7JLkIb23+m+vG39nvY7JDtyg3DHSRRby4h277TLLHJJSyL1V1KplCLLG/WIYx7sHuqfVPp0OJCMMfCrvMljictR0aMvDTuWxrqV4pzMVw9h94aKlOTDgJc2JnxCBLwAYnbo64Xr5sjxoeHjl+27H5G4L5LtPJfGG6bdV0DVu34GnqLVW0cC1MDT0o/b008fXKGWSMsGkjHcYB8bXp1qJfTqtLXNixtqY+XcGOi9Vw7hoxzG1WEOv5pkOB1E6GR+Gx6gLzuWzbP4lpt7734a5J2T4e+aqa71tk3PaKNOjaW+JoX8+kN2sjuFC1dME6a+ieCpWUn3px7h2O40cRlpYkGo0gQ4WqDrDrBwH9L5tEZdV2m+yFVpNTBktLTMOuwF2tr5COrRB/Fm8qhX4bvFjuHj7a/NPGnNfMmz6zdEc1buWw2DbFGs0tDQTTTzV0m17rHKKW5RRtUxErNHHWRSdYCgBS/W4nw6m5rXYNpeDDS4xBsAAQRmYTGglpGhO1Hs/jqrsY5vEYaWy9rRrYzNrVAASbERPOwSCN18P2wvGdzht+W77R2Dx1tE7gukH3be6/dtfb5ZrVmq9tt1nho4JI4rdPFR5Ssn63jnmqnpgB5bx3VMJgqT2ivUk6kZZM2ILzmbF/wNALmhuciTLYnirxndQaAxunMIEnRoIeXkAg5iQ1rnEAOyAL0p8OXA2wd101Hwxyxwztfjfj3jKKifb3HdlrJqjb01rq5ZZIrrWFo4xXPNVUc8ApKtAKWSCQusspWfWbiHFnMJxufO99vEdALYtlbchpgglwOhhuUTPGo0mMYcFhBkaSTlmcxixmxIaMx0JJEkxlAiLuLl+427de8vBD4ArTsrgO97YWReQd8QtSmi41tlXUPCY0jYmOS9zsJWpoeookc/UwMiQoHwdB2Jpt4jxJxdTJIaBM1SB5QYu3+pwE2yt3K6PFMmHqjA4IZqrgHQRLaYJnOW2N5BbTMAxnfFMQ7ddl+FXhjw3VnC1/2BxXyFvPdF+u1urr1y5uGuir9x1VP58dSlVcofMatnt7vArBHwUUBQgU9QbEcZxeIaaLMrKbQYpsBgSCDZoyh8GdfyScN4Zh2PrYmsXVKh5S83mIsHvcAGg2OQZRNrG8Ntsb25V+zK+0Rr+N15EtG0/B9zVuSs3VxvOjQUmzrHdatSKm3V6tGrUEMssdKB7O6MoWGbpk/aDXTcafEsCMS4F9akAHmTmibGJIJiZzDqARZeLxGHdw/HHDPhlGrdoygw8C7Z1AvLcphziQd49zPGn4XuOftQPC/vPgXd9BU7T3dSzvW2wvcVeo2juWKldaSWUQnpnhIqgQcmOeCfzB8AvE4RxipgcSKzIc0i++Zs7aRpY7EKviHDadXCPo1yYPaIOs3m4/ENvKdZXxQ/YO8m3Xw8/av8R7S3dAlmnvv37xveqaaTpEFTJE2EOT7zJVUESBfjkjGca+re1VLxeH1HMuBDgewvPyMr5ZwCi6hxDwatnAub8f7kR8V+ghyJs+i3PbbhZ7NbLlT3cmGporjSVslM9tfzOoS5jdQ6qwLeS3aQEqQUY4+H06kOhoEdwDE/fwX3vBPIAqVXwNxrmIFvj3H564u332wPty8be3XYbHS32pnFg3Lb5oBLQV0k8TIEZQcezTQ++mcfsGxglWUXVM7SHU56yPmT6j7gLP7u/EtuZAEtvcQY0O8m+vMb6r8uZfDpu7fHim3f4ceP7dTDdsN/3HarVQTuUEgt61s4gVioJdoqExoCB1OUHbPb78ziLPcxjKpgZQ4n1An6nZfCuJ8Aqfxarw+mIeHuaB6Ex9LBOfBDx/sLmLxfeFjjTkyvitXG+4N7WWhvTyBh10T1CNJF7vcGUDygfgZB8tX4zEuw7H1iJLGuIi9wDH1XF4ZgjXxFOgLFzgINtxb46L6f8A7YDxg37gvk9PDp4fZb3cubNwW+x2K2UUitVVlHTVBqnidDIuUqDLUCmEQcKfUqUAY/IfZXgw4gM1S1NhdmMwLBsgn/7F20bEr9Me1ntK7hNEPpx49YDK0D/k4ZgBYttlDdTIGkhSq+zo+zm3V4I/CtvDxJc38nbN2LzZeLZU7w3TeGRLhVm3hBLBbqy7VDkLAwHmzeSnvyThnmcIqjR7acfw9TLhcOSaLIgAZQXE/wBIEuiwaDEXhsmVwPYLhFajiTVxVLPiqhLXFxBIA1jRo05jP4QAQGrlXGfHlf8AahcxbK8ZfO+0ZuLPB1aoI5ds7Mpqp5IORqOOrkb7zvwn6YjbPbqWAQ0SxqZUjaUpgl2NJ38DpFgh+LdeY/25BDcupNWCSZs2QOgXWxFN/H6nhUHuGCYS0XvWPLmEDSkACLmXGZJEAfQFd57e+wpOMqy8buq66/Xql20qeaIAaercTSeVIiqej2WOrYg5Zelo8gJgeSwT/wCc1zm+SSZJM5Zde+ug7kyZldTG0cn89ha1obILQJBAyAAGRZxbEWiCBKkq9+pxVUjxNFQ0da7yRweV5TzuoJCENj1UKfdyT0YGq/EJufj6riNwBDMpuWwJmbdo6d+sqJvJW2J+QOXLDY7ReodqR2Cgj3g8/wB2pVMt4jkljt9PKjYJQh6yZ4kKsRBTnqXqzrdg6zWNdUO/KAO45j6hsAHQF+8Lo1iXUxTc3PJgySBlsZBFozAXM6EBfPx9ob9pHU+H3mzZ8u9uPavbnP2y6umism2o69Xte4bTW9aXcPdEjCy089PFRRJJMkbU09Of2TOjMe1wTgb6gqCm4OY6QXROXLOUZZmc0kxq3QgEK/jXHMHhaVN9UuzyCBBBfJAJaSYa0CTe2YtzTEDye4fo6fxF8xb25kruCtt8x3PkLddFuHa9hpqsWTijbl1Efe23WK40scNfJRrUrFIsAkId/MjWTrlx7muKuCZTpNqBj2gzVeP5hB1cxjS4gOPlLgLNjM0AE/OeF0KfES6vUpvr03wfApmWWBDRVqnKA8eYhriObyE8o9orB4COYjv66XHlrxK3Tj7fFbG9M1t4PvFbtrb+xUkeELRVUJIrqmORouhWlljp1jVniSRiq68NU43gmAUcPS8YHzPqiS4yTZohovqedxsLar6dw/g/E8SG4qvU8BrTyU6cQQABOdwcXQACAGsAMzlGvovsf7NPwyXeM0e9eRfFNvi7Wlwtxhv3M25+qkqWIlMhjirEEbEqWDDAKsfTtjM7jt8woUg28fymntqR+uq5+NwdZnN4tQl4m1Q3E9iNNBrHeV2Gn8I3hy40oJtx8ReIvxI+Hm2UMDvUXa3cr1tZbqSJcly8V8aupO5X3vdHbPf00tXj7A4NxOHpmRblLCZ0A8MsJ6jVYn8I4pUHhtc515ykCoSbXIcHEQPiOy5NzvxD4ytoWBufeIfGfsrk2/bTs10qvYOS+PLZS0m47I0Cz1VNNX2o0zMpEMM8TmEqsqRt7oZi17Mdw97HUHU3081rPzQ4GAcrmk9tZuey5lHCYynUa9wa64sC/rFodDT1i0CNF54bj8Q/jB4dsNm3lzDyd4muG7lFaprxcN2LtCe47RrzDCktHQChp46mljR4A9M9XUVEnn9ccv7FlMQ6ruC0A7JhqfiZdg7nJ0JMubABg5QwECZ6nqU+JU8Q01MYabPEPLyw1gJk83MS4gnR0SCGmYaOr7T8RvL+5Nt7X5G5k8P20d0bpu9tgrdt32l3HTrZLBLXwNUrB7APaaa33QnolMHnzCrdkjheRkECcWrhaNN1SlRrDlMPMEmxGjgBLQDl5Q2HSXADmXpcA+q5lNz2OAdlcwaFwAyEOl2YnrmJaGwWuJJCnbtLavDu1LDWzLtywbUs5t9JRyVu26BpLbcROAUkFc8SvT1oV1VwzRtIrK2JGIVMGIxT6k/iuBe0QdIBPLtqeg3nVh6VY5KdQgF2YwXde1pnWYN9YClHs3jfav8AZWCy122aG+7WjkMtuoo6GTCQoEeET+c7kFcABThiAOpQCRpa2KrTncZcJvAAnTYD9Y6yuK+lTo1yaByOMAkuJ6zF/jOnSdV2zb1PQLJTBKW1U9dHFHPNFTIFjpAVKoiKFAX1fPxPTn4jGfxcxkmT16n7/NYMUHAECcpkCd73J67fktzWpWTr6CCVYofoR66gqLB4UKjMfQHvomoUfDVjLkZ+H56gej4YSDKPnqBxTimkmUd+57/DQc/qmDCkGVcZznQzo5CkGUY/FqZwmyIZkyPU6XOnDUlpPl20fETZSkGX5nGoXphT6pBk/M6XPdHwwhmX17jQLlZkSGlORgnRNRMGIbSH4nGhnThgSS/zbt+elzkpgxCMoB+A1YXbKzIhmXsfjoZkRTSGl9e/79TxAE/h9kIzfXUL0/hobTZz31C9OKSGZvhqZ7JxSQmqPgWUaQ1N1YKSA9Snp1jUFTdMKSxDX2iF4Wxf7abgaU1gIpZfK8oOE/vuny+vqI9zq68ZOMDOrBmLS7YR8zP7fD5IwMwbuf0j9/u6eNUEk+6366QVQVYKPRCaZviuP10PEU8LqhNM+fVFH6nRFTqp4IQWlbJPUP0GjnT+EEBpTg5dif00M6PhWQDL82Ofz0zqiPglD60HwGNQVNkRSQmlUfAafxEDSQWqPkdTNdHwl3czj6k64JevEikrif17/wAdDNChoqvPGDg4/XUzlA0ksTj56heUPCV/O7+p0Qd0PBCAVjeYTyFpHX8HUBiP54/P4n6aYPhMGENyhYqqtslddIKyqrZpKGNSPZM/s5CR+Jx8SPlnGgQJzLTSrZKZY1ok77/Dp+aytFTUtvhkgpIliiaR5WHUT1OxyxJJJPr+QHYYAA02dZKuZ5DnmY/TRImm9ngWKEVaqi4URjqZh8gTnB/PQLkWUZMmPjZYwVNLaglXUUVdGsuYwI4Wm8hPU+aV6jk47t3HYDPbUBIsArKjTUBGYWv0n0002Hx3Wvy8hbDpZo513Lt6KerQQxLNWRwswiBbpWJyHPT5mSOntkHsMaFaq5ktcDbsr6HDK1Rghpy66Hfvpt1T+P7tqZ1rtwV9HNW0zskPnlYvZcYYv0E4Vj0qeo98AdxkjQp4hsHm1RxDSwZaTYaRJ3nbXcCY9Z9VzrmDljaGz6BYblu/YkdXNDK0VsrpJJZKxVADdEUAeRh+0XICnORjQBqPM0JJHQTfudvit/BOG+I6XtcG65hAAA7ugfVQkuvjg2BRCTaj8S86vy9PbVqW2ltLbsEl5vtN70KyQwzvHKsWAArGOMYGerCnXS4fwnFYk5AW2kEl0MB/5OEgH1Pz0XS4myjgwa76gNGeUvzGd+RsSZvr8rysMvKXi021Q7Yv3FXgRvtrpL3Vtb7g3IPIlpilo6JRiGolttJNM7OxjI8sVAZfMBIbuda28JoME1cUwEf0h75naS1rRHUSOi5mI4x74802MqGNCGsZl3JkucSLxAZNrwopbj8VHi7Pio2/4VdzX7cdNveS03K+vRcbce2LcNZQQU6RKgZ7hcp46FpVkqGV6lQWHkKhJZ1HV4ZwWiWVMUyXMaQJLywXJ1/ljS05Sd72VHFsbSpsosDAwPBPNnuGxux8m+xYAYNlDLkD7L3iK0xb25V8HniP8V3hm8TE13q5L/T7r2TeLLt/cKSTRvLQVVHaLfTJSQsI1DGj60cMT3XpK+nZxJ9doo8Swmels4ObUdN4Muc7NroRrrdfPKGFbhsSa3C8U1tU8xaCGtsIIghsSZ5pBF4K4R4L93eBvnTmTe3CHiW8OfFfhy8QtPHRUFq2zuKSrrrXu+9RTSxSz22pvLHyoOyuIZX65OqIRl1hKtm49R4lgKXvDXyx2jgxrcrY1dlFj6SNZgwF6HgHE8Bj64wuLZzAy4OqOfmg6Nuc46RBjSZLl6HXL7K3wc8l7V3HsG48TWbYW5aWdTV8oWGOO2XqxVsgDUM1rhihhkmWZJGC04hEeYyjM5CufP4H2xx7HhznhzDHIZdm66zHUkkayBFh67iXsXwoU/8ApqWSqcxaW8uUjUl0wMp/7iRrutHtHiv5x4J8RmzfDF4qduUu7+VKO1TybE3RtyantlNzcad/YrclDG6lLbdFkqpFnVv9mWOCokGQU6q6vBKNdjsdhKkUnESHTLC4y4vcAZYACQ4czuURKpwftBUwjWcKxdL+ZBhzcpa4AB0NYSDnJyjw5sTMgC00qbwu8Jct2bkrmHxH0G3+fudrjRrTVdtnvNf/AGRs6hnioaGgpaaZaarRJahnWskRp5pah6jog6xGldD2gNBraPDwAySC8ta55J8xkjlECA1phrQAXOMk6H8BxNeuHYpzqLHxDGOLYaOY5puTfmLhH4WgCAtl294ReI+DeT9g2PhaHZPDG0bDZLdXpt+kvcixzVslZUq1fNH1BhLIr1JMsnnEeZNIhgceY2XG+0JxYdUxDwXGWgjZuXyjoDaQA20B2YGE/BeEMwtEspsc5pLieUczgWmSSJfB1LiQbcpKkbZ977Z4R5C4q4H27YK627DuctRW2ujtNMGbaTQxNKLfVushOKlop5ackli0dRGoI6OnEKrsTTfiTzZNY0l1hECJFpA7E92r4XKYqO56gLQXXDiLuIkWABg7TF0DxFcBcBc47e3bt6+bG2lyNBuCjNFuXal0k9nF/plJdVhaYKtHcVZuuCrXywzgq74w8d+E4xVwlVpD8h1Dunqd2ncGfTZcmtw92LoOpVW52NJAAuJ3IAOxHWRqIXgNcuZPGH9kltfanL2yNxT+MDwM224rZZ2ulR7Nvjj+0I+Dt269ZaOZaeSYNTzEMKeTqAKQ1B6/WspYHizslJ3g13Sco/23O/qadgY5huNBIXn+I4LHcLa99eka2HaAcxPO0aS4WzAbHlJgBx6fPry74gePNq/an3jxZ8NXWC68ex8q2vku3SqOgJHNPS3GphZf8LI8tXCy/BkYfDX0TgmFqPwDcPWEOylh/wDs0H4iDPRfKeP43D/xc4miZYSx30aTpv16Gy/SfO+bNc3qUsxq6+hV6KngqIEYwVdNMTPT5ckf+pdST9G7ga/P9cPYcrhvF+o1+X5r9B8OwRcxtRzhLgXRuLQSBfV2nwWD5Crai0V9t5WoXlorVaf9m3HGk/lvLbHOXnCKPfkonYy4b3TG9WnfK600AKoyHfTrP99PWFkbR8KWRJdpOltLnTMBrroV+bj9pZZd2cC/aW+KtbBf7ltvd9r5Mr7/AGu6W2doJ6OSolWugmikXDI6ipQhhjBB19x9mQyvwmixwzAtykHtyn5wviHt0+pS4u/FUuUkteOt2gj5f5ULuKeRd08Vcrcf8ubNgt1bvnb19pL7a1r6JayCSvgnWSLzadu0y+YFPQfxHA+OvR1KLn0zSaSMwLba3Bba2sGxXjqGJisMQ8SQ4OMkiSDmuQQQDvEbwV7W+BG2T7ovG+vEdyk3IXKvP27bvX7c3Buuf2aT+xUNZA8UwiaqYZvVQzmi8soBSxErGyOyKfn3tPVfhMOMBgminSaBa4L4M5RF8lsznfjOttf0B7CcNbxLGfxjijzUruJgCMtKIymNnfhYweTopy7r3t4mftDt7WTwO7f39d9l+FvaO3LHduZ4bPXPXT25YuiF7fH5ojkM8hheZ6LLrCzSqzsy+VrzmCw2CwRdxjFDM7MRSboC7+oA2hswHQAToLhy9JxvFYjFPZwnhsML2A1qn4g06MLmmxeBcXcWQTaQvdLj9G2BsG77U2vtkbm43prfNFRrbaeejp6K2UpWakeOVjFTQHHkyeXAoQiUdweot4jGYt1Zxrk8xMkmCS4mLXLiZ6iPQQB9Ew/CqFBtLCgBgZAa0RFxBERpFgXGbEmV2Pi/kjc3L3LPEj7wsVNarNHQVW4KOnqZF86oleip6VJZ4FdmWR3qrn0I49xYWLf4c7cNSNJtR4cJ8pAvEuza+jQSe8C+nmuN4DDMoRSnODmnSIkEAkRAzAWMk6dV6F3Ojiu8T0clRGFfpBDqHGQ3ZhnBUg4PUD2I1R4gF5heMpO8PmjT1C+XP7Rz7VLfvhD/ALLbR8Odz2zvHxF8k3C6Xqirp6H7xlsNhdIrZZ2hooh0T1dX7GssMcgK/tPM8vDhT7L2c9nn453u5JbTaBmgiXPcc5bJ8uVpAcdQI3uLPa3jVPh1MeOwOeTlY3mgBslzjAzOBeS2GkBzpBMNIWS+zm+xF2/fqqbxLfaTNdef/ErdvKudXte/10lXb7EZBlI6+QZFZXoFHVF1NBB2jCEgtrscW9qqOCb7jwUBtNts4Fid8nYf16uN5heOwnAMXjnjinHSXVHzDXRYDQlugB/C2zQDoTde426+AuMuPtpJLtzj/Z9v2dQ0YpmoIKOkgis8KxvFFNGZv2TQwpLJE0bgkxSZ7tEmPB1MfWcXVHOJcbySZJ6SL3gAdLd19J4fX8R7cO0QLAACx+AiDaQRv2JWocd7E29ty1QbdsV13tQcd3Kkp6CkpYKVJLhbnSmZVhqrjURvU1FOIlUxvKxljkiK9bqVxXWxra5Ic3mkmxhuouAOvQTOsSukcPVogRlLm7uJMi+05Zk7AWI0uF1+m27uiy16V1kvdz3m9Ev3a/tH7NGhGJfPkCoUlm7IvbvkyHC5KnG5pnM0R96fp6AXKDcRRewMrgMkT8dOsgak6DRW504X4p8TGy7PsLlvZtq3ztiKriuVJC9wmj8ip6GjSYPEVYYE0n4wV74KE624LGVqFYVKMBze0xvvvb126lcakw0g8BxaHWNokDbv9mYRdo8LHYuwN0WDeO89y82V11N0e83K+RwrVVEVV1IsNNHGBFTRQwt5KQRKqnuwAZiNWY3GtLf+nZlgDeSXbuJNy4n5CB3WbCvfUqNbUOWCMsWDWj8JAiRaXE6mSbFYHh/etNFxNxvt7cG09ybWv8VmhtsCV9MjHzaOMUitNPG3SJHSJJOh+lsFx0noI1RxDGGrUdWMGbm4gZrkddbfUbLoUeEmlUIpHlBNpMkTIgRHy7aSYhLyf4GfDPs+1XXfHHXhynh2nfEP9prVsGaa0VUMMwkkqKu3R0rxxzqGZmeGVJVOFkgUSL0SdlnH8TWe1tRwcW3BeAdIgTq2exHQ2uKcLwdlIPpNqeEYIt1mxcDYkTIGoMzsuM8G3raux93b04+8Q+8+LN78fU81PTbVlVJdvQTWud5JaeeqpI5IoorgjSvR1VM8UJjaKlnEax1C9Ax9YUw2rTaS9xOaQHZSBcAwbEXBvaW5iQZ6+Ap4iu3KxzmZRykRLxMSZk/Iw7WJsvXXbls4lqKajotsbneqtVZF5EUNt3TPVU86FMD345nHvJ8274BySe/FLw55zNBI1tpf0C59Sti8oqPbpBksAP1E2XU4bLBSAR0NdcKSnHR+yUoVAX8IGVJA9Pj6DUNUEzvr/lc/xXOMuAP36rMQeXTxeVG0jLknLMWJJOSST9ToZgqSwkyUszjto5xNlPCSfPx8M6AqdEfDSDPnOp4lkwpJBm9e40mdN4KSZvqdHxAm8JJMwHqx0ufomFIoZnHwJ0RUTCkk+f276BeU3hIZqB8SMagf3TeEhtUqe/UuPz0M6dtEoZq1Pbq0MyYUUk1I9PeP6aId0TiihmpPybUFQphSQ/aCfp+uhnlP4SGZyD2KY/PUzphRQjUt/wASg/LUzq1tJDM5+LAfpqZynFJCM3fu7Y+p1M6cUkMyjuMn9+gXp8iG0qjtjvqB6cUkNpfoo0udOKaG0w9OrGoHhWCkhNOB26iRoF6YUkEzD4nTF6YU0Jp8D56GcommgNUep+GoXJvBQWn9e/8AHTNeVPBQGn+TfTUzJhRKA0/fsQP10c6fwkFp/TuRotqICkgNUYz3P+moHFHwuibtUYx30Q4yp4S7x7SME51wi8SvFiire0DHwxpc4lHwUoVIx+LTF6XwUsVPYdxo5+iU0bq4qR2PVjRD95Q8FK9oHzxps6Boq/tHzONN4hSmgiCowPXUzpfBSvPH/FoZ0PCSTUgdOWAJ7Dv6nR8RTwSmNZFbbmKmluFJR3FZqd4JknjWQSwsCGjbIOUIJBU9u+mFdws0ojDkAOFo/Nc1n4g4nLUC0XF/GCCFlZD9y0oki6E8tTG3lkjC+79B2GtZ4vidG1CPQx+SJwrHgiuC4RF7jrBBPxXIuUtjSVd72/tTZm4odl7lv5nNUbXaaWaems1NETUSwmVegTdUlJBFJIDGjzA+W5B0cM4OBfWlzRcjMQC4+UH13PmIaYI1XQwVQYZgGGY1uTK2TIIk6NDdALui40m0Bds2JxVx1xytfPtPatutVyrgGuNaxaesuDlutmqKmQtLMxc9RLscnB7YAErY57xlNmjQCwHoNB+dzNyVgqh9RwdUdmcNyBP0jaB2FlvUlBa5ZIppKGmaZGZ0crlo2ZSpZT/hJBIyMdidZW1IkDdTn6/Y0UebFtPZM/ib513RbI46TfNRtDaFFdamknC1EkCS3h6eKXufcwxYKcBux7410auIccE2kfLncR65WSqaYDKrDAMA63HmMx0uTou+R1EqSOlNW1ED+WY5+gsszuCpXoDdiMdY+XcYPY65cg3IutT6APmaCJt07zHwUCvGl4ZfDf4wdnwcc+IDiGXfNPaKeWG3VU1HJHU2uWdO0tLXRftICFTzDhgpYRh1Zex6/B+P47BO8TDExuCRlIHUGQegtI2Wyt7LYXGMPvWV2cyCPOI/pNiCTA6QOq8Ua+2+Ov7I6n3Hvaeq394tvABU0JWriu1xoU33x5RlU/bU9VIGjqpoUCxggyKqR5EdLkkesdQ4dxUto0AKOIP4ebI+9wIuJNyQJ7uXBrVuJcKOeu/3nDU97F7YFswN3MHQuAN9tWWxuTPDP9rDW8hNumW98uimpKam2xt9aiC23jY1lkSOR7rLUxoRT3GkrVSJpYinmpCz9LpUkScupUxXBSJGXNmLy6XMdAIDdOYOEntygwRb1GEPD+P4YMpwWtDSMpioHuIzOAzS0jytBJGuUHVaBwr4h95fZ1VuwfC7z1yZdN2eFiybniit3K2z4pqG0VdZVVLPUW7db1AdqIpFLJLDLA/lsZDLlwwC9LEYSjxMO4jw+nmMf7b7EAA8zA088mB1GkSSVwXtxfCgMFxR2TOSBVs83IGV8/7Zi5kw6B5QIXvZxD/YWlj3jyDXeHXdlq2fu02+ntcD0tM9e9t8mVoaqqhM5qEmq5qysl6GzKizU2fecqnk+IGowNwxgubMgEWNhlmA3lAEwYknWCV6Sn4mInE0cTYEiTOV0EmW8vlFgDaYJgQFg7htzZHH2xt38c7UG9LNvCslpL/typ3DDNLLS3eNpaiihjdVkWFYnp4VCsVXyXky6lnzVRrPDwQ0Bgs6IuCBmuNZHTsNl1cfSrYwtrVnBxOYW8ov0MazfcuGhWGufjQ4q3HZdo7P29su6795S3HaPvC328RyPbbfSTQTVNOaquC1CR07rSVqAKrSOaaT3OrGa8PhKwLgIDW+YnsRo2QSRIttIkhIMC11RrxVhtoA8zjBBiAMpMeYkDUCYhR1q/D9c62z1vJ1qiqt9V1wFe9+4taihr7JuaylpIaqCGKNWla5Q07TNAZpCxVnpwAs0Yj6WDxtNxFEy18Ah4JBadRvlAJiYJvBmxnR7R0i1zqoANKzXTu0gXMwXWAjKIO4sCPhP8X/AAjbPD14huWuItr3Oe9bLoK4Ntu4moSd66z1MCzUkruqqGbyplVvdVg6MGVGDKv3fg3EzisOzEugOMyBoHAwRfv69iRdfkf2v4EcBj6lCnOQwWzu1wkfT+6+/wD8FPKV95W8NXAe8LJJY7k104t2+yV1Jdgv3bXU8UULwIGIPnRrGgDHK+bUzKx6V6V/PvtHSYzGVwTBzmZBBjeOgOnoJBuv1V7LUmVOG4d8HKWg6A5pG5A0mZ3gARIlTD2Hz/tqXZt2a1Wi/wDJOyKK61Vgq6ymtwjKLA/kTRzQORJMOrzeqcArIeor1ggnnNq1GiCIMAwTeDpYTFogGCrOIezgr1M3iBrjNpJGYXMGIsREbfBfnffapb3rd++PTxL3Kqq4rg9svce2qWoWneB6mkoKWKkgeVW7mURQRoz9g5UsAAwGv0D7G83C6VQ2zS70zEkj9Rvdfmv/AFNHh8Yq4fU0w1vqcoJJi2pOluib/Zcbdod0eOngm31lPV1MMFdV3BZ4YaaR6Fqeklm9rC1YaD9iI2mBlHSpQMSCoOtvtXjPd+G1qxMAC8HLYkAgEdRbrdZP9N8C3EcZpUnND7kgOEiQDlkakB0H4L1j8UPizrNg8ec7ci2it39t/g7kXetfuDiuSlraNqu77iooKemraq7U7Jg0VasNNVCWBmhjemTpUSTqyfO8Dwh2LqUcPVg12NGYHMMjHuJGUz5hMGbmYENa6fvPGOM/wpmIxBbloPdDSAHCpUYLiDEU3ESDrDS4k5mg7f4SLDR+Byg2Fe+Um3bX7t5LgaXdxqWjqp79cZJfaovZYVKSx08Sw1PmMxcVEsQIwFCuvtJivfXOwmFgNpABo2AHKS6ZGpGWPKLmTpo9h+FnhmHGPxpLq1dxL3AXlwzBogSDlBzzHRvVe2m1tg2rb216S0cdjc9Rue13GS/XG3Um35ztzbtxw0kMcSM1MKg1IkQSrJ1mPMUixRIsUB8ZVr03DO/QAgOLmS7Y5fNAG8Ak3lxcSR7zC16/iGIa2oAQDnzQTJkwNLhoJaJ7ST2Tw5WG23zk/wARHPNFv+Lb0FfLt7a0VLULJPVT1VHQLUS1M0kpjJZnubQ9Cwr7kA6QofpD499NuEp0oh5c42iIkNFuYk8skkm5griPq1vevd3087GtiSeuZxAi0DNA9CSTErm/2nX2mNn8H1g2/wCHbhyz3bnLxt7tt8NJtLaFut5qPutZlMSVddHF+0JYh3iphh5SvUeiJWfW/gHs1W4rVcxpy0m+dxgADcCbTGpNmgybw0+M4x7Q0OGM98qtkuJyNBJc8g69mA2LhcnkZzSW8C+yz+xrt/BsNN4kvGTDbOT/ABg1simneqqku1DtCnWKFIBD1II3uCpH5TzqXSJVVICAC59V7Te2NPIcDws5aX4nAQXEmSATcMJMnQv1NrLyXs/7P13YhvFOLAuri4BPliwkDQgCwmG+pJP0FpT3iCPy4Ki2MCwBx1xjo9Oy+9ggemDgfL4a+dzrey9v/LcQXg/Q/t+/dVV26ruscMN1q4RTK0cjQ0+QkrL3w/VklCT6dvwr699QnrdRjm0zmpAz1P8Ab7utJqLE1p8i02hI6GbyEel8rKpCsRQCBMEHAKp0gYIDduyaUy67vj3XTpYhpaS7QSLgHXc/Mz1jutysdSkvmVEddXzxMSER5GMcf0UP72fXOf550Q8TA+/gufiqJENLQD6CfjFlsXndySSSe5+unzzqsXhLB1PXTTpX1NcKmGN1kWGZB0o2fdKY7lvQDOfpj10jqhaCQbrU2mHjI1sTuP17dY+q0TjygRNlWzb16tRr456SWW4NWRRlJTNK8ghcDImAWTp6u69Kr8TgaKtWYi0QPkBdPVwbqVRx8TMQ4xE9de3p67LK0+16HbUE39mWuMMeI0ipDUGWGnVBgCNGOVXHSpGTlQB8NZapn1WtmIdVIFeCOuh+Y339b7qMe5OH9tVV02LRb0tFsq7xcbe+2JJ6umgkpbrNSwippJpkwQ0wjhljR2HWrxnpHSFz0/eKrnPqsfDgJsSIvBjoDMm+iubiKVPNTZTLqZcCbTANjJPS0et91hrNYq/bG3aCuqN2QbR5GoEgspqaK0l1kq1l7J5LALUU7KGcwyhxGZA8brhW1S/FOe6IJaTvtOpm5HY/BdZ+CpPORjRldexAsBpaLxblgm4hSGpd3V1to1qNyNcrldqbERgZUhFW/oKimRQnmwsyt2I8xB2KkgZyVHxGXUm0/dlzaXDvEcabIbuSLwOhMmCLaGD1XUrfeFr6aOYPC7svViNsgfD1+Pof+u+iHLmV8Hkdl/NPhVM3f+R1MxSeAkGoft3XH56hfdOKISDUP69SAfroZ0fBCQag/wDGMamaU4pKxn/5z+7QzFEUeyGZj69bfv0A9MKSQZfTJbH56mZMKSGZl+mNTMm8NJ89Rnso0cybwkj2gdu/8NKSm8FDNSTnsdTMmFFJ9oYfIfrqZ03gyhmoJPqM6GdWCikmoPzOdTOiKKE1QPnnRzqxtFCM/wBe2hnVgopBqBnGfpoymFFDapGSMnQzEJhRKQaj0Oc6mZOKKE1Sc5ycaGYJm0UJqggHv20c3RWCigtU/MgHQLk4ooTVIHxxqBxVgooDVQ+B9NEm6fwUJqn66GZEUEBqrtgnUzKGim7VXb1JGmlN4CA1SM9iDoF26IoTdBapx3IOPqNFz4TCimcl0pFLKaqmDAZI8wZH5jOpn+SIoGYTF71RDsKgSHPois/8gdO0OlH3eNUF7oPRaetf8oyP540JITGgIXfzVZ/xa4Tnrxow/ZV7Vn4nSgqeAle1f8w0SUDQSvalye41M5Q8BX9pAzkjTNd0Smgle05xg9vz0Q5DwEtar5EZ02dKaCuKoEnBA1GvKU0ET2nAwD30S5A0ECoMNVC8EwZ4mGCAxU/oR3GlJnVMxjmnM3Va8bK8kBgrb1dakAk9aFY5CSQc9YGc9lwexzk/HQhp6/NbfeYMsYB8z9NPouQchXKSz277m21ufe68gzMUt9PDUCp6ZnjdlaoVgEWIrHIzO7IBhyCWCqzBgecsR1Mm31+kH0XV4Zhb+JUa00rTI1voN5np2BtJDbYe3r/xdfEvG8tz7i5Iue5IaKhqrtMIY1t9WnmeTRwQKqeVRN5hCAZPm5aUs83UN9Ws00wykIDdpubXceptpoBYWXGxeWs8y0MjMRrEE36839ROoAiAIUiaevSpgiqImPQ6hhn5ayhx3WR2HgkFYnce67dtWzXO+3Yymgo6aarm6VJykcbOwyB2JCkD6kaBcZtqVZRwD6pyU9fgombDXdVm2ns/mi02GgvvK1+pI6zdtFDUdKVUUpE1QJpeklJKNsRwoVJCoafChnkTpYnENl1DMMjLD4drTmNz3M6ATvfg6dV0XaBpMzOjWidome8u1IClHNu2y3uxUNdZq5btBXIslFJBE0mMgsJGUYKBekk9RXBBUkE65xfIIB+x9Flw+Ae2p/MGWNZt8Pj2B6xZaG68svS0NNBduPNn2MmVq4yJNca2YOxKiN3MdPGSpBPUsuD7oDAAm6iaLW/zHEnaIAn1Mn5AE6yrcQ1lSrNNpJkR0gdhDvQ5hGpkqLG+avbty33s3i2Obe1Xc91Q10FZuirJr79tyg9mmVzFKYCtpSZxJGJgEVfKeNV8wgJuw1V4a6o1sU2gSAYBM2DjOZ3UgGTPSSvQVuGNFEPrFpc10taG8pJvIFw4tERmGUzJJkZvPHxc/Y3eE/di2nkXwwb6vfg25icQ2eK7bQrjHT3CnkgWmippLdFLH5jMWh65YmR5Ecl+vqBHosD7emq33fiNMYimTMO1mZkEgiBsDYdQvDO9g6orHF8PecLWY2MzAQIEyXaCTpOsjchQ5sXi63D4X+LaTwb/AGtPhKsVD4XtzUFHaByVsWwF9vbjoREIad6+njVGhrQabzfOj6KpWj6hAekMey7gdfEVBxLg1cvc0k5CQHt6joWibjQ6ZjK8/W4uMK1/DvaCiA6MviAucwnq43cCdI0Bgw3Vdq8IPjWp/D1y3S/Z/wB051tXiS4Vulle/eHXkunuC1pu1CgaSLbV5lVSz1cDwmKMhRJGURXUCSJV5PHOGMxVA8RwzfDqNMVWG2U7uAP4T37wdV1PZfiDsPi6fD8aM1OoJpumS5otAdMFwHTzNgG+vrFujxAbP465QsN95Krbtsyz3iFbb5dxmejtVLcaSB6jy4mMaCaV0mnJYM0Z8hWByrAeN93q+ETTZnOpgZjGmgmACImJvG6+n0MMK7BRpujoSIJzHq7sJjWAbRdQss9Vsrjvna8W7YlHsravIN637T8iWKgpkRDSJe9rVcRo6kE9Uze12+SToVcx+cQip0t1d7HYmpWwzPEJMNcwkCRIe1xy22a65JvludI53C+FNp4lzQCWkguvBIaHNE3gNJBj/u3mV6EUu5ts2e9zbIuNPb9pJS0sFZC1loKmjlkDQhAz1ULYhaWQhSGyXB9erufP1K9SrNSpzHSTB9BpeNbWAXXfwseEDTM5pkEiPNJMW020vbRfI/8Ab8eDG38Lbi4M8Rm29xVV7t27oKmw32CSsimWmvMCe1PLTBI0KwymapZlbq6ZAScGQg/Yf9NuNU6wqYRgjLzDUkt8t53FvsL4F/rLwp5qMx5kXylobAEy5sETre1haQIKm39kt4kOU7n4AOL9l7S2ttHd1q2xuC/cc3KKp3YlurzT17rc4mgiZB5xiiWUR04fqlLHo6WAzxfbnCsbj3OqODW1A1wBaTOSx06m3QTdet/0kr0XcMpmmHOrUnRaLAuMG5ME5gZy/h3C9kuF9uVNLTeKPluzwbPpONN73C2X/bt8daYTXeBKQR1NHcT5UDxRQ1EbxRQTSPPGpAPQeoDwvFKmTDUaNYkFhdLekkEHUglwuYAH6/ScI8VceGsAeQAJBM6G9hMgWJuDf0XxH/a6bclsnjw5pqGg29TrdorZe1W1xutK6z0UeGTrd+o4jAZlYqzhyuB2H27/AE9rh3CqYaSYLhcAaG+m1zG8ar82/wCtlFzOOPc4Rnaw3JJ0i56223UTvDVvWxcd703JvPcZ82kptsXCmjiVlzMaryqOVEVuzSiCqqXQf8cafLI7/GqRfSFMCZe35A5vhMATsCV472Gx7cHjnYqo6A1j49SMvx1mN4C9YeKtx3zxeeJifmbmfizcVssN8ENg4Vor3Zki2jtLbcU7+Y8fnI0NXUw0kAipqYq6T1E7yydaQquvI18OeGYJ1IPmoTmrPDjnLiJAG7cxPmMZKYMDM5fWuDPfxzijaop/yGAswzHt/lwLFzzIaSAJc3V78rZDWyPRHaXh33JtnkzamxuSdtV6ccw2iqqNvXqSqS8bki2nGzPAtopKiniKSUM0alg0CCSGoowIWzJLryNTiLDTe6m4F5jM0WGf/m4OdGYWEvmQ6SIyr6pgeHOpnwKjZFLNke8yA3SGyAOU6wxwLS3zG69J+KNhcS8c1Vj4msVma+1MqVcMcd/sM0TXQGoinqaCKcqpmm9nw6zROxaMqJARkjy+PxlSpOJAhojQggROvQB1oNunf1eFY4Usr6kkzzSWuuIDok3Nz3iRFgoTcu/a07H8LPHXN22dk0sG8vFTV8objgsOxJIprjDavapI3oqmpkyYmjjSeJVip8NLLH5QOFLjv4D2UxPEa2HZSJFNzBmfEbmQJu5xgwSIAOY2gL5/7Qe1+B4TRr++AOrU3BrWA8zzlETl5msuMxJ6tZzSpF/ZUeDuu4Ou24fF54o6TcnNPjb33TPdbnc54Fq5doUlRgPRRo7L/tDBQsk0IZPLRYIcRoxfd7Te0dEUxwfhYAwzYBII5zr35Qb7FzjmdtHm+A+x+KrPdxvjLi3EumGlrgGACwbAIBi2W2UWEmZ97Nr7hoL3LPXUsdTa4lYE008RilLBVwzRMAVUdYAHfJ7+76HwpMGHa37/ABtb5L1eKwrm02g3kC/Y3j13MgRpdb/7T6Au2R9NEO6LliggzVyQxPK8pVVGWJIAA/PULgE7cKSQAFjLmlFUyW6orJnVaeV5FzKVQkxspDYOCMEnB+IGp4gaCSraNN4BFPePzV6VbfVyx3f2CFashjHK0YEnQwHfP1x+Z7aOchNVpvaPCzW6TZZP2hdEEhU+CmFTTUtYZTP5jFonhBD48sOvSxX5HHx/d8dAkXTtDmjl2v8AK4nqg2asT7so4QoSSGJYZEIAKMgC4P7tQ1STPVPXwsPPQ3+ayJqgc9xoZlWKC55yXBHedu01pFY9HXS3KjlpZE7lZIplmJwO/SEikLf8nV88aBJJBG37b/P5ro8Mp5apdtBn0NvmTEd1j4KykvkPmVVE9ku09M8E6kExibp7Dr+OQW6WBzgDB+GlDrET0Wo4V1My05g0yOsb+nfbYpxcts3HcNJt43yrohcqHrlimh6i8M7R9HmrIcN8wVXpyDnqyBiw2BAPb7+/gq6danTe51NuvWNJmI0+cotLPTW+mFsV7rDeWYCWCmygdjj9oGwQEx36wc/P3tKXAmI+/p8k5pOqHxCBl6m/w9e2nwW8rMsaqiDpQdgAfQaYuXM8Im6o1JxjP8dAulEUEg1P1GpmTigrGpxkgrjQlMKKGarPbqzqZuib3dJapz8e+hnsiKCQaoZ9Sf10AUwoJBqR8Pz1A5P4KQanvqZkfBSTUn56kphRQzUevfQzJ/BSDUj4tjQDk4oIRqB8xoymFApBqOxJI1A7omFBCNQDjv31JOysFBIapHzJ1JunFBCNT39RnQzJhRSGqs9sgaJcnFBDNST8SdDMnFFBerVO7uqD6nGh4gCsFCdEwe60a+tXTgf5xqEq1mGPRNnvFJ36ZGlP/wCXGzfyGjdEYc7oRufUMpT1jD6x4/njRMjVOKKbvcKk56KJz/nlVf5Z1LlHwghmrrSuTHSRH6yM38gNEnoVPCEaJu0tcxyaqmRfj0wk/wAS2jIGqbwx0QHM5/FXT4/5VQf01AUwZ0CbmNMgtUVsx+TTNj9wwNTNspkOqbvFRsQXgic/N/e/nnVjXRonDCRdUpgiJMMNPESO5RAuR+g0DUdFylFASkvVH/j7fHTSj4aatUYxg/w1A66bwt1281ykd5jn89edLtl5oYYzorCuXI/bAn/NoyicMeiX7aCP7xj+uokOGPRX9rP/ABvqZgh7v1CX7X/zuf11AUpwyuKv5s/79PKU4dEFYMdnY/roylOG7JYqxj8Tfq2oSp4CUKtfQsf/AIjokJDh+yX7Whz7zH9ToFyX3ZWauhUFpZPLjHdmZuyj4k6IKIwzjoLrlltu0CSRVcdivLV01TJWsi0kis9Q4KrJMzADCowRQThV+OQACS/QjT0gf5Oq7NXAgiC8QABqNBsI6m56n1ksrsb5u6seyNT09FY7dUUdZXxPK7y1MqOtRHTxsmB0hkikJznCpH/jYq1J+UF03uBa3c/Xfe+10OGpUodqXAwdI/DMEa6j5mNF0ex1UiUccNTcKa5SP1TRPFGUBjJyAASc4zjP8B6aDXAaLBi6MvJDYA19Vx3lXf8Atu6yWfi2G4U9Sb1WGC7VCTskNtt1M0U9b5s6gosjRmOJYiyljP3IA76sI/K7xSLNvfcmzYnWTvcW6q5vBsSaZq05Dh5epJsLXMakmNrdRsm1qK03O3UVfdduWGnvKUSnDIrFQzFy3Vj3mUeWGOD7yn5g6z1XwCAfsBbMU2rSflY85S4m3y+t/gmfG9fTS8f7QWktUVOaq3rV11uMarJFJIWkYnp6ek9XWSMY7nAHoZWJBLZmP2Ux2ELa9R1xDjBv1037LVrRT8h0BmkqK6grdqVKLL7XcaUIbCqjBPSG/bABgwlAjI6D1YA6tWCmwCSfWIM+nSd5n0Oi14yrSL4Df5gMQD5pvex+V59Suk01Lt3a1RFe3oY5LnLTikmqPID1NVCC7xRDpH4QQxVAOletsYLEmOxLv9vYXjv/AI1PYbQuW7C1MS4xr8gNJ76nrJK5nuvaW2bztXdtrulhiuVlraWrbFHHJFURJIvVinkRhIwBGUz0jq6Qv4VXVba7mu69iB+Ufn3XfoF4ewteWkQDf4X6HrEkD5pd3sWx7jtOzWzcNi2xvLalfSDbtbRXOm+8Ka6W3sYI54qkssj/ALQDLZYl8DOca0UsfUpPFSg4tfOotffTYf3XJrcHGLD6FcS2A6/WLmAN4k2Xyi/aY/YzbS2Pc77zV4BU35tu+01U90k42SnmMlMI/feexTDM8ToY/NEM/YqP2UgISI/XPZr/AFGbiSMPxFoBNs9oP/eNPiPiNSvjntN/o3iqFD33hDvJzZQTM2uw/wBWlp10jRb34VPtAb14wuK7lyZ4gfETxhwbv7iKSHcE73Jak0l3kWAwLcqi3w+WxjczVEJihZ2NTOWcY8qN/Pcb9mmcOxHhUmvqCvLRlALhN8oMwXWFyByjqSR7z2G9tf4tw54c1jKmHAL5dAIb+JxPkp7G5IMNFgAcTw79qHUbp+0R4P5c8SnFG59l7Fo9tV2zbJdJdvSwytea9UenmqIYlYiXpatjiwgmWOtJMSZkY9F/stXw/C6zKNTxHkiRmBhoPMAdP6cwFgWxJsF57Fe1OCxfF8PR8M0aRuHOBAe4+QkG+Wxyl3mDpyjb6Or/ALq2Jubbts5xoqWC1bPt9NUTQbkqBJ7JRTRh1hmYA9DxwMXzI6qFlZwW6YiG+aNpVGjKG8zhEADNfpuJ0HUc0XC+w0HQ52HfVBuJE6jUzsJ3ubACASSPLf7Tr7OnaviD8IG9eVeN6mYcvUNsTdVDPHd53g3YsKmZoTT+YYCGElYYWVFw8nw6iNer9lPaNmCxjadXKKZJGgzCbXIvaBMk2Xi/bn2fqcWwlWhSL3VQAQA45JbcDKZFxuIMxchfNX9jdzFszjLxwcT0/Idwttv2dfKyCkSqrXVaemuMciVFE7F+0YeaGOIvlTiQL1YYg/WvbXCVTgKj6I52T8jIPrE5o6j4j8//AOlfF8nERgqziGVoFj+KZba9zdt9A4r7AeTPE7tLjrnnb3DNniblzeXJW3L3WXKOgt6TUdFWUJppYbtNTd4xB5dTLDKw6mlMEAdwUB18PwOE95wtSq05RSLeYm8OkEAwJMjlFok9V+pcXTbhcXQZ5M+YNYJJOUSQSDI1AmIE6L42vtXrttit8ZO6rdtinucFNa7JaqCs9ttfsE0s/lNK0jR9TF1YTqVkP40MZxr7D/p8x7cBNS0vdAkGAIG2hkXHWZX5w/12x1OpxhgZctptDtdZcRqBNiNLRoSo1eEbh2484c2WXb1Jtpt32i2wNfa+2sshjukEEkSimlaN0aOOeWWGFnDAqJTjJIB9TxbiHu1A1ZDTYAmNToYOsXMdukr557G8CPE+JMwrWy27jciWtEm4Bj1iBqSF9fNn4qtvHtjq9ueIGybe2Jxfdlmq6KjsqzVvHO3KQRdRkpa0oZ7dXxRgIp8mKCDzFliaJ165fhL8a2q41sM81KgF3wBUd1BYPM02kyS4cpkco/Z9HCNohuFxFHwqbdKZeS1twAcxgCDmcJyjMBlBu5avx3yxw5eand9k3hZbBvm+bQuKyW/fN1o66KmulIlL0pcJaRabHkNR1BjmSZo4JnErxd5gsYdhcRTANNpYKgkMABIM6EF1pcBlIBcBAMRJ6mIea38p7gXUyJJJbILZBzAdzmg5XdSIXM/EV9ofxnwhRCy7ssdk5SraqneHbPFm3vPa3X+4sTHHV1MXlJJHbuuR4YHheT2h4HkWNmMXl7uEezuKxtb/AKUHOYBe4DlFrRJBeQJykAsBFxJK837T+1mB4Xhs2PcG3OVtN0vcb6OLZa0OsXEQSS2+XK7N/Zy/ZxXvbnJ7eNPxvwU0fiDutOm5tr2OOv8AYU2AgZUieoVkdDWeVJTJBCWPkoTkySiUx9n2o9qsPh8OeE8NII0c65zEzIaQbgmczhY6DlifC+yfsXjOKYv/ANQ8XZ/Me4ZGZZAAEAuFoLQIuCbZncxEerG+7ZVbDdOU+MuXa2zR2tZfOopEjuFtrbTgxNiCPoD9EnU8bkgdUjYx2182ZWY4+HUaZda0yDNozTrYaE/VfcqWFfWDadVvKL3tfzXIvpqB8VL/AI+uN/8AuSyVt9SM7kryK63oytCkCssKdMqYzEcf3mFILuVXBwAXsYyoWAyBqdd/sDruvO42m14cW+UWPUiCRrvvE23ld7o7tTT0oq1qo54Sx98Ht64wPy9NAPkSvOVMG5rssQVpdbvm20lY8NWxqFqKmS1wxCMlampUEtEp9CehGYkkKAGyex1WysToNf039Pu5XSZwhxaMtiAHegOn1sBrMLK2mOaGSChutXDcauINUBVz00zFz0jucswBx1H4KcAA41YxwmBt9/e6z12Zmmo0ZQbetvoO3feFtftQx650wMLCKKSapfn21JKIoKxqgO2RnTZkTQQfOAkaUN0lvxD/AIj8/wA9KSiKVoSjVAfHvozdHwCtA3HNdvvSybhoZFekoZ5qeSmZ8JMsqBDK2FJ9xgpGO+A3r1ajHxPf95/T8l0MNg6bmmk4cxgzHS8Ceo+7LYZKK010TyU48suOlZoXKsvfPYj0HocemlAHRVtfVaRm22Ky4qQqhQ3Ydu5zqGN1QKCY1sNNcEjSpVm6G6kZXKsh+hBz+nofiNGeqsp0y0y3dEp2FNBHAJp5Qv8Ajkfqdvjkn4nUtsi+kXGYRfa+w97I0UPdkg1XfsdLmTDDoftXUDhtSU/u/VJNYR6N20JR92QzWAZ75/XQJEJxh0NqzB9RnUB6Jhhkn2wkZBJGl0Kf3fZDNaPiyqNQvCcYZNmu1MvZ6qnU/LzBnUlOMI7ohNeaM+lTGx/5ct/LUMphg3dEBrzFnCpVSH4dMLH+mjBmyf3TqkfersPdpavuP8Shf5nUAhM3ChIa5VB7rSH/AL0qj+WdCCU4wo+whe31zHLRUcY/94zH+Q0wgJxhkM1VcxfNRSxjPbEZOP3toeqsbhh0Q/NqSPfrnJ/5Y1X+h0XFM3D9kJ2LDDVla2fgJOkfwA1BG6YYdBApgckSyf55Xb+Z0YEQE4oQUPFGDn2am/VAf56AcU3gndE9qjjGEVEH0GNQuJ1QGHHRCauJPd8/rqT0T+AgmtLfhJYakJhSEoEleqAl26QPn21M19Uww5Kx73yjOR7bSlvkJFJ/cNM0HUJvdzMQmz3umGelppz8kiZv5DUyklDwOqH97FwStLWf99Qv8zokEaotoCU2e41eT5dLGPq8wH8gdQjumNEaITVtay/ipI3+PZmA/lowA6yLaI3CCampyS9YD29FjAH7znRm0IeF0CC03UCWqak/k/T/ACA1Oybw+ibM9Pggr1jPfqct/M6YOuiGG8LtpuPb1OuC4LjDBpP3gCPUHQATe5lV7dH8VH07aJQ9zKWtbH2OBoQlOEKr22M+mP36MWhA4QpQrVGAC36MdGBCnuqIKxf/AGkn/wAWhKrOG7K/t2B2kkx+emlD3XeEoV5+Er/w0EDhB0VGvbA/asR9QNMO6AwY2CDUVuYzJI/mIgL9PT2Yj+f+uoAZsnZhLwBErA1W5KutK0tpgr3qDIUNQUKR065UM5LdmYBiQmDkr8B30W0ydbfeg/fRXt4c1gzPg9uvy09eidU9BRUdrktdH/ssTuZZHABeWQt1M7nGGZmyT6euBgYAd7gTf7+/8pMjvE8Q3P3YdOy0W7UzrUXCtu9/pYKVQS3kSMkjOF7dMC5BLZIxk5wvY+mg2i0nqT9/dl1cO4gNZTZ89Pmenw3Wp2rbcc+6RQ1lugraemthhq/bXSR6hzJDL/dheiMCRQBEpVB0kkHJzqmBIMXtHx339fSE9ap/LzzdxtFhEEdZNtSQSZ7Lqj1y23biLXeXDXPEkb9cglkMhURjv2y/cZI+OT6az1GA8o36LnU8MX1gWzAPpaZ+/ktWt9gsNLtGmW71NfVPTJJDUVktX+0g/aEP+0j6MBe4X4KM4+szNAhot8/ufqtbqlZ+IJZuZAj5W+yd05oYd1muMtXVUu4NoxyQ+y2+sRYpyqqQ8plxh1Oe0cgOR3LKcDVws3o6/wDj177aLHiqFKIpiHEXIk/L9SN+q5htfdkF22FdUpLbuex7vpUC3O23JY1rYZEwUR+mRyqtEI+h0JQKwYA47DHUgx2W0a2Nj3HaZnfULr4TD56rXEy3QbEa6gWDpkxutbr+Ttw3yY1dpt24aq34jgp7nb1hneoiELM0kkSv0xxpMAnmMQjFfdYHPSr8I4DO4gDoTEbCZETvAk9lqw+Ap0m+G4X+MT0B1mNRFpXDOP7xyBu3aW5bbyLdXskdr3BWQ1VxtVwWlD1TCGVZqeSSPEUZkRJFhZSVVnjZn6jq84ai3KWy61gZ76xeY1NhNxotlSm4P5Whr3Bo6iB0uLGYvJ6wq5n8QW1vDJx1uDdvIu19w0W1UanpYKuks8lXFVOyB5Kgy08krO8S9UjAEv0JIwVwrY0YbhmIxdVtLDw9xmwItG0QI01gDS4XKxeMwuGYcTiKmQMu4mdHOgfAk7X6DQL5Y/GBtit3RyFxb9or4TeI9n7Fv8v3rv297PpYUrXpYbNWUcrXu6WtoxT0wlW4UEj0i+Z1oUqCVZmx9r4Ji3tou4bjqvM2GhwkQXgtDWv1cRDgHAACC26/MHt77PMdXHG+BUyWOkua7VwbDnOcwGQNCWuOYy10CFybw/csbs8f/ij8MPAvKlPTQceS73rN2Xe22WBvOus0aVFdNE6x9LSO5E8UUhJlSKdwzuUU6vq8Lp8Jw1bGU5c5lMNaDsOVo7ASAXDSRYCVnpe1+I9qOIUOG1A2kx9Q1HEO3ALoJ1gSQwnreYBH2Y1+4Noy7IpaPZVyt+06C7U8tLTXG2TLFSU8fX01EciuPKUxqZyyPGGVozkD3mPwEh7nkVJOhOs/vew6X9F+uqPDhnz5ZyyMsTc6R1v36rkK7Nu0e7/7NcZ3il4Z5NqoRcBZqm0wCy3+lRe1a9KySwO6LFmUUrQspkVGLghx03ViQTXGYaZgeYdRIuZJtnB3iAFifg6FGmfCcRcSASROmUAkQI/pIO5IJAPxAePHw98ieGDxR782xvlNlU12uFU+7rTXbRWSntMlLVTPNG1vjYK8AifqTyz3iZAASOlj+hPZnidHF4NjqLi4N5Tm80gCc33foNF+G/8AUr2cxPDOKvFZgp5yXsDZiCTpN7EXuYO5XodsH7VG6pf+AfEXU7Q2pcuUthbXXbO70uV+prXHvapnqqyWqrGVllqa2SopYaUM/SVgqMdmLxDXk63smWsrYdrsrKhlkNc4tAaAIAhrYc4mSZcBaLkfSuF/6lNrU6WNrSatIEPOZjBzEaFxJILGGzGwHHm2B8Y+WOUd381cocg8vb9rprxvvdF4q75dJzheueaQuQoHYKMhFA7BVHy17rh/D6WDoMw1EQ1gAv23Pcm57r4d7RcbqcRxtTGvEOeZAGjWiwaOzWgAeklejf2aPh0oubX3Tehsaq3tNb75QS1QFa1KKOhhxI0EDxTiX2iqeYRkeU48mnn6OpmYLwfanHuotbli4OoDpJsLEEQ0AuNxJLQba/Wf9GPZ2ljPFr1Q6xaJDi0Na27jLXNJLpazSAC4gzC+iDeXhy25feN6+88L2CzeHa+2mxTnb1x23cQKXc8roYEtlXSe0NSV1O8RMbhYOstU4UqygD5IeJVXPa3GAVSSJBbDgdcwcG5mkWi4FidDK/UR9lqbWn3Fz6ZDbS4uZAnzNcYIO8kwIIOYQvN2yfaGL4W/Chujj3nmy7uvvi7iq622UlFV1irXR1cMSwQz11Ug64qCnYOUjjZ2qJaciUhuoD0GL9mHcQxoZgSPdyAc1yBOsA6vI00DAQRsV86p+39Pg3C/H4xPvg5chjM6LjSwZYAvdJMOaBJyrlHgb8KV62VyhwB4hOZ7lvW7cu1ss+7aSjiroo6o0CQxRU8lJJ0SvJWiWsikIC9KYjhTMjlk7ntFx2k2jWwODaMjRkJv5naiGwQ2AQSTLjP4RfgewX+neJxFehxvjTi7EVCXBrgIaxu5GhPNIaCAwXIzFe/1/wB1703tT8IXKxWe38xXa00tEbzXPUlJbZTxoxn+6an2dFkrGeNOikmbzkwWHQzKuvmVOnTaXy7w23iZudgbyBe5bbQdSPvVImjTzUm5g8zAgQ02Lujo7gTfYQezWjesm/6DavHu7Kg2G8tNJdrNa6ikhoa680SFXoHWPqfojSoemaSMhECRftP7whs4oGnUzM5iB1kB2hJIGoExrc8ugV9SmAHVKPKDrrIaPNa0zpNzfbbI7B8Qu06nd+4bDuRt0WrkSS6x2iC1qHcRh4ozM0UYXzFpTMJV82RQesYHSAo1VVwDiM1JuYEEz22nYWiADebztY/COfTD55REyBM7ettdhB9TKqg5Tg2nx/uW8VdPW1dutNSacu9UjtWVLTxoIoyC3SqNIIiWwQyN2PbNdGg52RrYlxgfPU/nbZef4hw0PxEnUibDQQfSSdel1heR5toWCggr99XSlu24zdIVpaKCVEjo6qWpQRiixiVIhIQHcHqcM7SDpARbaQ8QinQbM/UXJnYCJIG3c3U4fQqGavlbGpmbD8R0JPcRsLTPQdu71ghutXbrY123JMWTqlMHSIV8sgJ1tjI6o/XLMe+e4Oq2sJm0ev399YVeI4bnphzyG/Gd9fl6BdZp7x54diksSg9IDrhjj44+A+WdSJuuI7AwYR/vFT6M37tAaoDCFV94YP8A6w/poxuiMGkm5YGSHB/LQlH3NBa7Rr+J+n8yBqSnGBJWOku1F0ezCoZet+zJKoMZJz1Zz2AOlDQVd7k8HNGnb4LDbZ3pb73Zrdc6asq6qCeMvG8tOUZgGK91BODlSfXV9Sg5pLSOn1EoHAkyQ2Oyzxv1OBkGdu3wib/TVQJ2CP8AD3fZSPvxTkrT1bf9zH8zowUx4eeyT98ys5UUVSoxnqZkA/L1z/DTZSRKAwQmJVfelSR2plB+HVMP6A6UhOcE3r9EFrjXMcqtGg+rsf6agZ1T+5tCsa+rwczUqH6IT/XRI6IjCCdENqyqOB7bgf8ALEO/7ydKKcapxhB0QjUy/wCKtqXz/lH8hqZNwnGE7JDTKezVFWRnP96R/LGly7KwYbsgsaRjlkZz/wA0jH+Z00wj7sdFfzKT/wBhTn81Ggm93KUKyJPwrGv5KNG6gwnVWNx6e3X7ulI3Te6BINxXuSw1Mqf3SyGbgM9jkaIaiMMhvcAO7Ej66AAGqcYbomM18pKdWeespYUUZJeRRgfqdECdE/ux6JuNxULhvLq4pMdj0Et/LOmLD0TDDXQ5L9GM9CVs3+WFv5kY0PDJCgw1kA3uVi3TRVij4dZRc/8A6x0Sy0mERQuhPdq05CU0K9v8c/8AHAU6kTaUfACCLnXkHzJKCNvgFDt/MjULB1RbR6hN5KyrfPVchEP+SBf/AKs6gYAev36JvA2ASDUsAA9fWN+TKuf3AajgDeFBSMQmztRv3mM85x/jmcj92caZtjICBoE22QzPRD/1FKfllAf56YJvAJEJQrlT+7CoP+Vcfy0S611Bh0CW7RqCZJkUf8zAfz0hAhOMK5YxtyW9W6PvCkLfIOCf4aZrC7QKHDEaoL7hpv8AAaqY/JIHP9NEsJ2TNw6bff0jnK0Nfj5v0L/Ns6ZtL0SmheE3e83AswSjgVcDDSVI7n5YVT9NEsMTP5phh2oX3lcCCZJrdGPh0B2/mRolo7oih1CavV1bNhrpIo+IjhRf55OixoBmPr+0JzQsu2feWQcsB+uvPlhSe5KhcvT3tQtkKe5Ja3Ij/ED+ugWIe5pf3j/zD56bJZIcGVcXLJwG76bIh7kri4gDOdEMQOCSvvMkfi76GVQYJL+8j8G7aIYl9yV/vMdgWOpk3Q9ySvvMD499HJ1Se4lULn8m/jpQFPclb7yzjLk/rqwsATe5dlRuXf8AEf36OSEPcugWpX2vkSSeW4VEUtud4lhiRljdWGcszkEkZwcAHuB+Wo1p0F5WuhgwRDRBEydfpYfFY7aUs1Ndat7hH0XCShhYYUKsSGWVvLGfez7yser5jsMEavcLZRpP1/JDFYVroLRb+wutouVVSxPBdvZ6GS4QgpHLL6qhPvAEehIBA/d6E6TKYICqp4VxBpyYK5rPcLHW2y8TddFYq6W5xv5NSYyJPfRFkVC4XDpGSDnpOMkeumbSMgO+n+P8Le2k9jgAJEd+9p11/sm9NyrsBqS7Xam5Mgmgp/MEMUVzhSOpKnpzHGvdiXDIApOSOw76Z+HcAA5hE6Eh39gqX8LqF7G5R0Ngb9z2/sVC7xY8o1HENqsF947uu5tx87VhprLtvb9ZUQlN0QyzrJLTSrKimlgQdcy3CchaZkBHUGMEnX4XhRinmg5oawXc6/JG5gnUwMoEu0EGHDn46jUw1L3unzEnlZAGZ0RlBtqASTOVuruUEKCO64/tCbI90ptl8i8VWBIoKi42jiqs21V3SxvRZaZoae/s0ktTN1eafNZY4kZshApK66ww3CXx4niFxsagLRfT/b/CNLElx7FYMQ32gl1eh4IsD4bg7MdyHVRlBcRbkbkFpkQVjbB4895QWvaO2uLL5uPcPK1zrI7bV7YucEVvuttv8MUUNRHehIQkfXNIQlSsjo6qFVW6g4rqeyjnVXB/Kxt80ktymYLSNbXIgEbwLLfhvavCYjDNqtph1V0tLIAcHCMzXNJloGx8ptGaQugXPlXmfim51sm/9ibWm8UN0tnsFfVUUXt8PG+2JGdqutpYpU8iqqaqV5YY43cLVTLFCitDBMDZQwVIhzKDyaAILnaGo4eRgdMtEDMZHKJe6DlAy48vrig6tTHjOBy0wQRTFs9R+k5BAgG5ysYZLnKJ21OO/D7sPnXalLxDT3TdFVX7IWypYbnWrckK1dejrTmmrJlgpTGaZhJGMRujBY4nIAXqVuIYrE4d4rQw+JOYCCC1pMyGknUQfNqS6JKx4L2ewWB4hT8Aue3wnNyFxLcrntB5SWhu+YCGxADbALxdo7Pub7Nj7RvZ43/FFRttG/0d2qFtFeswFqraZiBHP5Z6gIKoq3uZ9xh0+mvo9Z7eJcLf4JDs7SLggFwPSZ1HVfk3EYZns37XMFYllJrw6RctY+eoiwJGkWt1X0b8p+PLwrVV22vcqXxVcfb/AOPqVKiC47es9K010uXmIG6l9ngWOujheAYp+mKR4ZXy7BFTXyrDezePeHVDhajah8pLXZR/5aEzqSQCBEL9cO9sOEUYLcbSc0+bnaXHawBJJiZDRJvqVg7J47/DbzVRG5XjnDbddYrZba3pq9w32Gir5JIekxyRySPTzUc4jlkKE9ZkMaLiTrYDHV9nsVhjkdTIcSLZXEb62dIJ6C0zIAXocB7W8JxdA18HimOptmYcGm0aAx8S7KNeyhP4xvCvyH4ouFdw8w3nclVed6WeCovdooqY0NRT2lZSJFttVVUjEVE9TTiHFUw/3lRB7qIXk9X7P8Zw+CxQoMcCHQ1xk3PVodcNaZEalvMdgPln+oHsTiuPcKNUyKlOXUmwJywLOLRBc8AG1muho3LvmTKvIzSsQuFwB6fpjX1u+hK/DFSmc19R9E6mUhPNBAlbAHwKL+Xz+mjlmwTGzZH33X0EfYb8pcpbBn5d2rtajv8AV7I3PW0tuq6qhiUPYa9FiX2vrYgN109XJF5eck4KjIzr5x/qHg2VRSc6MzJMExIvIAnqB8JX6i//AI5UnFuIa4SwloIyyARcOJiwgk66gWXpv9oJ9pBtDw40lksG7thT33f8bTVO2NoNOlMsVOIx5FfcJ6eoaWkeGZpBFH0A4jjdCSpMfh+AezeIxtQii8To53miTdoEcznDW+5Bib/avbv234d7O4cHEAuLrsaLF5bG5HKwRdxkk6A3jxA408KXjc8TW96vxkckbIulqorjLHcbVebnaArVJjVRFNarb1IHFLFCrwiVfKfy1IExBz9SxdfBcMoDh9J/P0DuaTrmdfKXEwSOYA2y2j87+z3s9xr2k4k7j+NpNbTEFuYHKADAyMkZgzzcxhxEuzSQZNbE8L97t25LtQc0x8k3Tfq3KmtL3Wl3/UWR2r6qsCLHVrGR5ccTU9LU4poVTy1jd2DGPXm6/FKDGAYZtMMgmCzNYNJJ6uMEjmcLmACJX2DAexmMdUc/iFWs+oRAe2pkF3ABsCGsBLQeVrrCTEKbVq8LmxKDbPF+7rJtvmqG0zxT0t/qKDlC+UsTTVExiW4SPLLEbclR3mld0kWWSVTmMgBuJisZneWOpUs1taTdInKQGkuy2aA0yLz1XqcDwDwx4jcRXIJMFtZ13XaXSXxmJGYlwaLAA9emHYt+8Kk1PScdco7k48o7HtKjqoto8htV7ip4K2orJZ5KK21qeVckfzVDZhqHj6o361dT5Yrr4mljXOD6YzOdGakAJDRAJYS5kCTqGkA2O6bhns5iMBSaMPiC+m0F3885ozETNQAPvERzawGhN+MpPGVYN57k5T3Kvhy3jftwV9orbpUUe+q+ywWOKIsU89HopepJWUzsIJW/aMcsfXTYnA4BtNtBlZwDc3mpl2YkaDK4TAsJAtotmFqcZFZz6+DY8OgDJUADWiZMPaTfWAXGbHtNu58rc9U9048tO9uJdsWbhT7xn3Jfa3bt+e91EccRaaFnp0p6epEHmPHLLKkcjYpVIyWdl5VHhVLmyVczw2A0tLdbG5JExMCd+gg9DF1agq5nUSxu7w5pFogQJJki5iGgmdRHZZ920dl3Ja46Lc1ppLHZrE96t8dDEJbOkEiv7HK9cF6RHFCJ38yRslj+zQgK2ueMOXNc9wOobMaG2YR8hlAm9yJXYbTY5rWCIdJN+Yj+5vaBAEkrt3HPKdg3XuG70m3uQLbue20rLUVlypkh8lpWUp5ET+qopBC56mK/H1Jy1KLmeYFo0ANie8QNe37LNicBNIS0ZjsCTA77T10XY73vCisFsS7V9ZXvTe0x0zLHlnLO4QBUAyx94HA74yfhqtjC4hrRJK57OH5nFsAWnsnFHuGK5zslElympFOGmkaSNVPSDjBwSe/y7fHSCnuQi/BZReJ+BWY66U4DIz/m7H+uiGz0VfgOVCSjGT7PCR9VBzonqh7s6NdUoVMCggQwD/ujS7ojCFYq+34Wqz3Cujid5I4/cVFyxYkKMAepyw7adrCeUIswfMAVxvgzkq1XjZW3rfPV3eCvYMKYXOMxS1aH3wY2PaTHVjt3wB210eJYVzahsO8QY9dfqlbh83NsfvoOnyXeDcc9ve+uTrlqz3NDNwUkj3dGEwwaH7cmPQZ9flokJvdCkmvODlnXt89DSyPuaCboBkmdf1xoZU/uaDJeokBzUwA/no5URg0IX2Nvwv1/5Qx/pqGm6JIRGEEwhG9r2xDWP/lQ99BzTsn90Td79Jk9FDXMfqFX+baYMMwVBhrKxvkrAYgVT8mlAx/A6UsgwSmbhbIbXWubsgt6fV5Gb+QGg1oG6nuvRWNwrSB/tFMh+OIif/q0cgkkIjDjogNV1TH3rjIn+SJB/E50DT6pvAjZDFQygh66um+pkA/+UDTuaDt+ajMPugvNTuB5j1Eo+TTuR/PQDJOibwTogobfGxeKkplf/i6cn+OnAMZdkPAvKJ7XChykUKj6IBpZPVN7vKFJdgv45gg/5mxotYNEwwxCYybhoo8+ZW0qn5GQZ/nqClZEYUhN/wC0dG393O0v+SNmz+4af3d3RA4cHVCa/wDr0U1xl+WISM/q2NDwSicOEH76qXyBQVAIP+KRF/qdOKEHVEUQgvdLgfwQ0idvV5if5LoCkOqLaIQWr7gSOuooo/8ALGzfzI1Axqgp7QgPVVbZ6rnKoP8AwRIP550fDHT6phT7IJmB/HXXBx8cy9P/AMoGmygnRQUt01kFE5Jmjac//mSM38CcaIEXChYUMTUMQISmplH0Qf6aaHHVHwdlZrmqD3GCfQaJpybqCimsl2ycF/3nU8GUfDTZrr8OrvphTsEfCTdrqe/v99E0VDT6Js929R1H9TphTsh4XVNZLqMfj0W04Oinhrpo3fRsO1/tp+HcKP8A6tcmpgzrB+/gu4cENgiLuiAkf+nbYfrlP/2tIME7oVHYQDUJ3HfhIB5d1pJM/wDCqn/6tKcNqEPcuyObnVt5ZS4qAGyf9nB6hj09e3w76ngbJDgh0RBc6j/+N/Tyh/rphh0PdB0SxcpSP9//AP8Amui7DJDhB0V/vGXP/wCIf/qLoNoQNEPdB0SvvGY9hcmA/wAi6goSUDhBrCuK+Y+lykH/AHE/00ww/ZA4QdEta6Ygf+kpiP8AKn+ml8ATolOFAMEKvbJvjcqj9Anb+Go2gOinuw6K4qpcf/iFWfy6f9NN4Qmygww6JPtT+nt9WP8AvD/TR8EawocMOiT5w6xIaqqeUDAYuMqPocas8K1kRhQtdtj3E11yvdymuiF3aGClV1JjhUqA5K+rN0FsZ9CMDOmdQaABunNARlAHy3SKu4Xu4mGKmqLpt2FSWleSRZJKlBnqSNAfdbABEh9Or8JPpYyg0Xdf0/U9O35JRhRsAfgrzUdLBQSf2fnpaWdwJTLKGmeft6tL1dRJGB1kkj4emhlLrO07KNw4mXifl92UW+XJ6+Xatbxwty2va7bWVMSJR3mlq7jLb2aXqLjEigp7jyhirJGOrqyuBrfg6DM2d8/CADbqZ9Os6BMcNALmAEnc2ntAEn5jTood8obz2r4YqtabZm1au+8s39KaHbe0rDVm73/d1vg6UEs1XL1yClRlDzTTyJTQrGqh1aNF12MJgq+OBptIyN5iYy02TuYsD0sXOJsDMjz/ABriGB4VTFWs0vqmWtbGaq8j8LAbkCxOjWC7iJvEDmXkHx5U1HeeS5trcD8BR09TSxy0NPVy11xElVVqkRDzGnhnqi5VS0chi6gxGAXz0MPwnhwilUquqG/4Q1tgSb8xAibloMfBcPH8X9oBRdVp4anRaDbNUNR8EgCzcjM1wA0PIk2USuNNibx2un/bJvjxV8x7Cuu67lBFe7hT01ne31nU0kFaJVn9ojlhj8yKIVCs0ILqrqnuDXWr1sIGe7UsMHBkkc7gRoRoGkEnbzbibryHDfZ/iTXu4jjOIOpvrOAfyU8s3bHMXjlmMwJbtaFidtbZ2NvifkGs394mfEvco9xV1vtkd7pr9FT2uGsMjRxNXiCFG8mkoJqF1jjURLK0iRFkfr1eA2kKYp4VkCSQQ4kCAXZZNy50iTJIALgIhUYTg9WsMRUfxGqQ+Gy11NrTBcGAkCzWtIcQIaC43JdKXzjQx+D7n7atr8EPMG/ecN9VNH94zWLcVrp90P7Srw+Utd7VTwzQmcTVcgZXyCFVRjVnC44hRca1IUWAxLXFgHmmLlrogAi0ySVwfazh2J9n8XTbgMQ7E4iownw3sFZxu3LJbD6YcZLXSYgAWJUJvtF18SvJF9sXPXiG4qvFgvFzZrZ9/wBmkp5dpSUgX/YqK2eSnXC0ax1Qb2mR5JGDYwIyo9B7O4Sjh2OoYeoHhsG8+JP4i4GIGkBoAAudZXyP/WNvEq7qWK4lhnUnXbLcppZTBaGvElzpJLs5mbNAAgewXgH8Tr+K7jnj/a3JN/sFyvO17XHbJaeRI0NrWBYqQ10sbqTVTyx1StHPhlgjNQh/aYc+J9oOH+513Ppk8/WdCZyg7C0O0JMRDbL9G/6Re1FHi3DaQsKtIQ8DXM0RnOnmBkAWu7NJUmJfDr4U92cqbkvlw4T473Rs2pv7o12jstLWT1FZRVDU4tVP58ZEdEjQwRPhiJpKeSJR0iUGmlx3H0sMzLUc0xMSR5hOc9SZJaNAIcZ5V6Ov/p7wXF13uqYanUvE5WmMsDII6AAOPctsSY55yv8AZ/eGm7b/ALzceM9t0PhVo7NDbZjdLLe1tU8ZmNUB0xRk0rs8fQ5iZHBwil8nBvw/tNiqlMe9EVc0iMszAadRzWmJBA1gHVU1v9L+F+JOCa7DVGgGabi0C5glplhFp5gTYaL5jvGP4c7n4T/EHunh57rVX+3wQ01wtdfU0/kzT0k6dSGRAAokQh0YqOnK5AGcD6RwrHjF0BWaMpuCNYI6dtPu6/EH+pXsVU4BxZ2CL/EaQHNdABId1gkSCCDFvTRRmPUjTdJLkYOSAScDvrqOEBeBaSTJupeeF3xf7p8LFq5JuG0YXfdlZDTy7bmnippaO016yxiarqElRmf/AGaMxqEZD1EEkr1K3A43wMY0MY4wPxQSDEGwi0l0XOw6wvqX+nP+pVTgDMRlbmc8AtBALc4OrrgwGzpMmPUenHgK8Nu0987gHi28T183RzJzZdatNw2iguEksVNRT+Yp+9rzXTx+VUuqmOVIIvMEQEbOje7GvJ45i3YKl/DsBT8NoBBdBET+GmBzEnQujUmDq5fXP9NP9P8A+MYge0XH6vjVCQ9lO3NHlLzZjWiAWskNDRJEEBe21Jc+Vtw7P2pW7q3Luy52OSmjpKKqsrR08FiDkpKCDl5WkjlCiaVH6lQGIR+71/OKmCotceW++bUgXAA2EiSAST+Kdv1dSzZi6YN/KLTMXJmSPRrQZI6rkVfPsvY1y8TvMKjYE23KK92qnoZb3e6mKo82Gw+dOBD5MheR18tWORnyQhQKrFtzxUdhqOHbZ7s9mtm2eBoRAB7bzOkecyZMdicTV5qYFO5cA2zJdJcCAMpHw2F5ecLbk8Wd5424/sVVsPa21bfTbchp60XiaZrhO8KeWI0gWF4KeBUqWRqdmmkwS7lOyCcV4ZhaVZ7/ABZM/h03vmmSbWLQAOpklD2exmLq4ZjThw1uURJImQCBlgwP+92Y/wBIGuW463BszZfJl3vfMVC+zNmVm1RdNoVtaamsT2qikkhqJpLhBL1ICt0iEazJEUiKRgEMuZXwbxhnMp8zgeYADRwsMhEzLb6yfQqNxjm41nicjXAxN7tMk5hLSIIA09NF2zdXIXD/ACxX0W1drb7sVwp7va6OxW280bChq6SqaRJSkhwMwosQiKuo6GlZcgudc+jhatNxfUYYaSSDcQBf5npYwNgu4KlJ1MFrxJGxkmfLb4z1vpK7BsrkyzUO7LtueLcK1dmprQ9eVjV0r5qaCJSiMO6pMemMEIqAtIgXuSdZ3YNzmZY5idNpNhfWDaJ6dAtdTD/yYtl066TNu1+ul+i43vPiLfW0aap3lsG+UV12nc5TuHcXHM9zWOz1FQ0css0lDGPKWIwhI1NPKzU87xBmSN3eU9R1ai8htR0PZYPgk+pmbm8EAOaCLkABcHC8LqMqePRaS12tO1wdgbkE/iaTkdLrAlbpxt4rtmb73dfqq0X7ZN7uQ8m2owo1hvQlAURQPSSgGlgBkkPtBLxMenDEsOrFV4XVbTHiZgCZubX3Lrg2iGgTray3Yethn8lGCRqATY6kEaz3JjvcKVG2bhfl3vcqm/PNf7c1O1TS3GNlaOil84xSxQNkFOgge+VBkLsOygIvNbh2hnJb8zvJ7dAD3NzK2YiiHMDY02jtv369Nl2Gx316ie7zKaypgEsUccjhFMgESkt2Pfu2M/HH5aqOHMA73WR2H0CzpvE3fFOcj5yqM/z0Pd7wUhw3RKN1mxlVjzj0L/8AhpThjKb3YQhG6VLdl9nBI7d2P9BpjQR93EKOnNXK+3E2jujb33jYKxG8qlrJKqoNPRwdUyBkknLdzgkEJ+H4kHXSwHDqhcHgHeLTNthv+Xqs7wxs5jYRN4iep27772XCfCzZNjVHh6rqyO3bbrqhKJpJHDrO3nGjDESksQJc5JHYd8gDOu57SVagxYbMbaAWtpb6rjez+CpvwzT5utybyZ3Py2U2tpV88m0trySVtYztbKXqbC5J8lc5OD315jGUAKzwNifzXawuHHhtMbLOisUElqqpf4d5D/TWfwTlsFoNGLpBrIgD77t3z3kY/wBdH3e9k3g3STV05zmONvj3Gf56ng7JfBVCuRPwRxqPkFxomkTui2gNghtdkjyGkRPj3IGoKQTeB2TeTcFMh/aVlMn+aUf66jcPN0TRsmj7noVIzWwN9Acn+GoMKTaCj4CF/aelbJR5n/ywuf6ab3R24QFIdUltxZ7rT1zn/wB3jP7yND3M6kImiOqbG/zN2FvlI/5pIx/U6cYSLylNJqQbzVNnppaaP6tP/wDsroHCjqj4Q0QHu1wJz5lBEPnl2/00fdhCJpiLBCNyrTnqucSA/wDDCD/EnTe6NjTREUx0TdrhUH1u9SP8saL/AE0vu46fVMGCNkL28jHVX1kn5ykfy05w41hAMQWraVv7yNZT8mmdv5nR93jZQtKBHV22nBWG20UYJLnpVO5JyT+edOaLkDTBmUU31Fx0KV/yqP6aX3YxdTwwEN9xL3y8mPqDoe6dERTugNuKIdjKgyfj204wpGihp7oDbijPfzox+uj7qgWBAfcUZ/8AWr+/RGFhHIm7X8fB/wD7aPuvVTIm7X/OSXz8+/ro+7KEBNmv47ftAdEYZAhNzfx2Jkxphh4mEC1Nn3APUyd/z0Thp2ULU1e/DsTJn9dDwCoWiE0a+gZw2R+enGGtZQthAa+jI97A04w5AlKRsm7X4A5Mgxpvdt1MqbvfBge+M6UYa6JaE0N9TOQ4/fqz3c6FAtkLJNvemKgfedM4H/5wOP463Hhw1XezlUd3W6Qe/UUEgB/xFT/PQGAKQvaTeEj+0tjbHULM2Pmkf+mi7BOndHO0pf8AaOwR9ybVGMZOHVcfuOqzw8kQR9EoqJwu57MoHTVUyEf8NSw/k2lHDSdW/RMKtoBRzuy1kYFzdfqtY4/k2mbw3t9FHvnU/VUu5qAM8i365AkYwLg5H6Ak6V3DpMFv0SiqNj9QnS7tgUe7uG4AfWpDfzU6UcMH9P5qeJOh/JHG8UA//qKq/Xyz/wDRo/wyNB+aBqDqjpvQkYF/lb84kP8A9OqzwzQwgHiNQjje0o9L2WH1pgf5DQPCR/SUC8RtKsd8VpHuXiNh8jQuf5HTHhTf6T9/BAPncffxVLvi4g5+8YX/AP8AXyj+TaLuFjQA/RWeIBYx9UVN83LPeankA/8A5OYf10P4S2P8Ite3b9f2ThN9XI4zFCf/ANBMND+EC9/y/dIagnT8/wBk0uu9rgKGWQTU1ulQho5/LdjG3z6SPe7Z7fEZ0v8ACdhv99VY1w1Ud7rzrJthaGpuO7bVEK6s9hMU9E00VYPeLRxwKY5Y5Mk+mQxPzKjVw4QDLcptfp85kR3QOIYCJIE6X/I9VG/dfNu6rpT7r3VS0e05+O7Fb5Wl3NJUNXxMoMcfsVqoenqqrl7wp1qHMgjaRUKSMTHrp0uCgNbJOZ9g2IJ6XNms3tci4gCRwMZxl4e4U2gU2DM55MtbGogCXPieWQAfMZOUx24u4y3twlx/S36fcN+2byzuymgqrhVXKrW8wSZqZHgomd+lhDSRyRxeQhWFgsz9JZjrpcQFGo8UWx4bTbLyyYEu3u4izjJiBMLh+znDK9CkcZWk4iqD5znLQSS2mDALQ0EZmtgF0kglco5X3/y/vLdm4958h7a3dvvbk1W1TLQ7epp6WzVaUkeWniqatTKpdGZAYwwIYN0tIUBelwRlFgFKzti8wb2gtbr8T2BiYzcT4viC4txDC5sAFtMZhLbky4W3sB3OgUc79U0fIXFEO5rZxRaOOtmXOre2VO8624/sJJJ66Gmf2eCnpmWaOFJIXVVCTVEsQfr9IpOrhsM6nVaKr5OuUA5iACb3BBMQAeVoNxNx4rH4ulj8Aa2Fw4bTkjOXNDAXODJAghwEglwALi2xEXd2Db+2tvbEvc/HHFfKnCdjsl6rLVdeUbNSVCwSWmDyo4oq2kpnmRauWnWVKqpqKZUpJXl6j5irEllSnWqRVxOWoCJDZGaTrDhlOQGIyudni1iXLnYTD4HCUnYfAtq4fK7Ka0O8MtbEF7CHs8RwnNnY3wrFxGVrTu9NyVxnYt8X/Z/h54g2rylaqSxXtIE2deJLk8000NPV/et03DUMInnp5qGhkeA+dOFdjgEmPWQYXFVqYqVn5Wy2MzcjGgGMrGQXXDiJENOknVd7+I8PweKFDhtI1qkOnw3eLUeS3NNSpIaILQeYuc0GQyBlMmeVtweITmKh3ZuTefBXg3uXHW5qCO3Xay3jkKrmo6yqRx/t8s0NvCUdWJJQhLFSSgUgsEfXOw+Bo4Z7cuJcKgOopGQOl3SR8D10XZ4q7ieNomk/h9N+HcIc12JaAT1EU3BpHWR8188yt4kvs5+eBfKfb8ew9w1VvuFDRfeVIlxgrrVNIYpAvmIvmSIYkPUVV1dFYqOrB91icNRx+H8MulpgnLaCL9TE+vod1+PKjuL+xvGPefCyu5g0OlzSwmDcZZIgTYXF2wYXsltHeXii492rsCPj2r8M/N/G25KWPddns1HRXGym5ROI1ljpZmeczyL5UayGVGcyyyM+GV8ePr8OwteqSXva9nKZDXAaxZsZR/TBsANl+r+EcY47h8LTrYVtCvSqgOADqjCZF4e8uDnbukN5idDIUlfDz41eNd4XTemy+Ttr2Tww843WpNVbNt73ppKSGspKdBDCKaoCR01c7ftixToyWHSrdA1h4lwLE4emx7iXU787biTr1ItAvO86rt+zH+oeAx+Idhq7Th8S6wpVbOIbYEEw11ybNPaNSvJr7cKJR4iuJJbhVxV+8/7BUyXaVaoSmRVq5xTkoIo/KHQG6UwcqAcnOvSeyJYKFRtMy3N9SBN99l+ev/5N0GsxuEc61Q03SNLB9rSd819/gvF2Firr5vcE9Pc9yD8tetncr8vsEC6mz4Btt8dX3xDW6u5ShtlVta0WO7XqOmqR2q62GHFMiKY5Q0gkdXVCjAlBkdtYeL4l9PCudSkOJaBGtzfQiLbyIX1P/RvguGxvtBSp45odTa17yDEEtFrGxvsQZ7r6sLhzpdLhdNr2C87Z3bx7TpAtDXirrS9dU0rKhjKOwIowfMCuVLOoWZEVQCdfL/4Y0BxJDpO2k9zPNpMXmxJ2X9AKWOBa2ixuUDQEAECNmgQ21rxGkEgFYrf3Ic20OPKKu2JZtv3qWpIoaOKS8VU0NV5IiT2h4REBFHT/ALILFCAWXpiAyUC2MwQfUu7LuTlAInvNy7vbU6Ao4vFOoUnOpszHQCZB+AFg3UxJO1yJ8sN0cwVm2OOv7ccmb2tNNadzcnR3m619VG1TW1VDTs9U1R7mGcssVL10sYw4kAHu+5ruUsIxlanTpAlzWWA/qNgLxoXGHHcTMiV8r4px3weHOxOOeBTqVhmJMfyxM2AMAsYJYCTlMAQV2m7eNrxFcqborYdncU7U2Hx9DSiWCp3rRXH2u+QSll6+mmD9KumMxtKCqu4ZicgU0vZJtFs16hDv6WBrg0i95IuD2IMCJ36TP9S8fjKxbwzDAUoBD6znsLwd2Na11txN4MmLRvtLu3xB765U4/5J3FvXwuXW4WOGWC0237su60u4qi4U2AJoonWSNY16eosrKFjyVPk9Omp8Jw9Gm9k1Mzty1pyhpkm5idYi/Q8y6FXE8VxL6NaKIYyTDXv5y9oa1ulu4IO3QxrG4l5U3LUDclx3Hw5xftGooR5Vxt+3Kuoe+VFRKyM9KlXOip58qtIahkhYRovUDFldL7vQZyPc9zpECWgwBIzEB3lESJNyd0MRR4lUIfRFKiy8uDXu5iYOQfy5k2DhAgbgkrNcSbT5p4u3rFQ3rmva99uVRFHfYqC72uuho90EVnmJTUMiSkOGnek6f2RKezqCFjJLWYjDYRzP5LHCOUHlJHKRLhaIEm53nUQtGBocXpPy4iuypm5iIc0RmktB57aNttIDbyuscm763jviCusXKNkHGtLuCjuVNPDct2tFbb1VMrxT0lFV02I4G6RK00c4heZ3yiyKr5wt4bTpjPTIfEGzZjcEg3jQNjMOsGF18VxKtWIwuIYaQeCDL8oJNsrXN1cQSTOUj8I1KDwlFwjwxR0fGXJ9mtNj5EesopXmuiveaapWGGJ4IaarCmLz1icxezsVZAnWUTPSbMa7EPIdQMsv5bXJgmDeJuSB2k6qjgmEweEaMNW5ahDQA83gDlAcLWAsJBm8DVTx3Hy5a5q2Tb9ovNffNv09rFRKlrWGLzvMYhKRZB7iFpA3mA/hVkX1bXEZgM3MW3mLm0i8neAPmewXrm1A2IOt7dNJHcwYupCbN5BgrqianW8NU1LxiaoSiYSQ00zEnyI26B1KihV6gACB2A9NZ6mAjaR8p7/H5pAZAtH6fHddCbc6E+9PfcgfFwgP8tUe4TeB8/7oEdPy/shjdcK5ANU5+T1q4/8An1b7mdwEoa2dUBt60sUlOJ2o4euQKvXXDu3yAz3P00p4eSLa+iaRIlRmve7qOx8JWmlvEdopa1ZoVljkRqqaNPaZH7whC5XC+uMDOddt2Fc/FHw502t+HrYBcSi6mzDB1aNbzf8AF8SVxfwt8pVNu4+29TU+0Rua3rQ2/Bp9vVAmpVamIJV2Xy5h7uMllLDvk+muv7RcJc6u50kGTqRtHe36Lg+yuPpHBsgA2GjXA3nqIPrupz2O+Wu60S3izNboIpiVZkoGp5AyEoVdCVKspUrgjtjXk62BeDldP0P1/VewoPYWyzT4jTtaFljW1IIZdwXWA57hCvSfphw3bVZwgP4VcAeqE9fcgzMm5bi/YDpeOPp+Pf3Qpz+vw1Bg2bt+pUv1+iT961oUrLVe0/8A+TKmf56PubfsIShfffbpqLbK2PitSJf/AJiDqHB7iPv4JgbRdCO4LdEQZLe8fb1alLD9SM6IwZ2SamCiJuy1jtHPQxN9VCfwIGocE6LyoQJR13QkgBiqY5B/yPn+WlGEnVNZIbcbH/1jZ+p1DgeyBgIJ3FnJ68/ronCCJUkbof8AaA9h5hzqe6SoT0Qmvzf+0/efXU907IaIJv3x8zt+eh7qpmCA19yDmTB/lpvdDuoTCE18HciXAxnTe7dAoEI3wH/1q/qdD3YhAuQDexnAmGdF2EtogUFr565lBH56ZuFRDigNfGz3mXH56Iw28IlNmvZ7gSjP56b3YdFJ2QmvZyR1/X10vu6Eymz3vPrIP36cYRKT0TWS7oc5MZOfiB30Bh+qndNmuqd/eXPr20xw6BMJs92X4SN+jHtpxhroTdN3uxyf275+jnU92HRTN0QGu0gbtUPj19dEYcAaIC6bvd5M/wC8MT+mp7ueihcZTWS8S98T9vqNMKAS55TV7zN3/bofl2/8dE4bdDMQm5vVQMgSRn886Y4UahRxQWvU/wA0P/eOp7sEA9N3vcxyepG+ProjDQlL00kvc/yT/wCP/wANOcI0FQPMWWMa/wBgIPVBTJn4mlYf/Tr0b8M83Kt94ZKWm49u4IE1FGPT0K/6aT3UnUINxLYkFGO49vH8dyo0+PasKf8A1DR91dsPp/ZK+sw6n6oi7ksWF8u/wrk9IK3I9z8u76q91FyR9E1PFg6O+qfpuCjGOm+yKfl7apx+/OlGGb0+/mrBXMaynS39APcvc5Pr/fxn+mmbhGnZAYiBcpwm4sHAvMh/78Z/ppfcp2SuxUbo39opTjovTBvTOEOoMEBqFPerWKpdxVQB/wDTqj84k/107sG3p9/JFuIcNXIy7oqV7G90Z/OMD/69UOwINo+/koMX1j6/uiru6UD3rvbD6f4D/wDt6Q8PnYoHFbmFcbxP+K52k/o3/wC1pv4feyIxfdKG81+NwtXrj1b/AF0f4a6xAMeib35up/NFXeKEdqq3sfp16n8NcNQmbjGnf6pX9sJP8MlC/wCfm9v/ANXQGAEXn5IOxkDlj5/2XON0b73jR3BXstw2xTU6DzohXwVRUkI3UFmjTIB6gMFT0+ucdtW/wtm8/IH6SqqmNqCzQ0nuSP8A/H7Kgzzvy83KlDe9imnsu2bvdZqa3VtxidhU0NLNIkR8iokjUN19QAkUqydPV0du23DcMyQ58lguQRAMCbi5iLkEfnK89xzjDatI0WENe6wM3E2tpcmwIMgx0hbttm5W/lKybJ3W16oducF7Fq1o9i0A6IYbuabFPFd5RIgVolj6RSwgAN1vMfeeHoUUC0uc69apM9Wg3LRH4j+LoOX+pZMHXZXps8HlwmHMA2h5bbMSYhjTdv8AW7n0DZ53unfez7zvTascl8tm6qyn8ub2NqyoqY6kCeObNRRMwhEcQJfpVcMAAcN2JGDdSbmHKesAdrONyT8IJst1bi9GtUFMOzdg7NuNWgWHXW11y/xE8wXje9fY9uXa53uzW01Hnw26zeZMKC2jpeZ40ijyMMYwJGljjhYkBi0eBZguGAOc7LmI1O07AyQL+hLul1zvab2gLWCkwlk2AEk5fxEBoJO0GwaYuCFDfdvJe5Id/wC16DcWzN6PviK5NaNr7TippIVelmpGp473VUJleCmr3DqIUc9CeUpcN1M430MCSHRlJI5nSDF5LMwG8HMRcTA0APzLiHtSaeIoiqx4LXZaVEBwz2IFYsOkEjICYJGZxl0t9GuP6m0Xzj2y7H5Tavu3E9LCLXZdg7Xq6lLB5JVmWlrbjCqy3ib9p76SvDGGWUtAc9Wsdag7xPeGNDqhM53DQ9WsNmARZxzGIhw0X0bheHbVwwwuJd4dGI8NjrunXxKrYc8unma3ICSZDtU5vY42tVdsjb0m3Nm2azQ7t8uajhpFoh5T2+anpQUESqsaSLGhHSyOUXq6iygo44h+Z7nEujUyYMgkz13FwRstRo4HDeHRo02sYHgQ2BbKREW9DqDodYWX5KoL5ZducfVtdtXb+9KG3L5kkMtc8tXI0il5C1YADV06MxkaGaPrQgAFhoUsKHud4TuwtYDSw1adrGCt3EMU6nSDnszdeaJnraHDe4kAdF5/+Ke1bk8U/AVPabxtW20XIe3aVGsa113MdRapaWWSKqooROiyVEdQrRrHGnUXlTr6kSIKejwygaFU5XSHawDewINpAjUyQA3Ykr5T/qLw93HuD+G+jlrU7slwBaQSHC4BcHCBIBzOywQAVDD7O/xBVvGvJVDw7u7cDbIstyrZY6evqZRTvb6kKfMoXLxlkWodAg7qI5TnDFzq/jGCa5pqET1HXvYwY7zbSF8p/wBEfbl2CxY4Tijla4kNLoGR27bgkZjoARDusr2Q8WNXYN4cPxbY3JZONeUuNaKT2Zqqshdp7aT0oFjaQN5HS7xddUhUlmI6Q7hjy+HMcyp4tJxaTtFj69R0ET3gL9Ke3GDw+LwRpYykyqwbuN2+nQ6cwIA6TAXzWeJTYFVx3ybLZKq83m8001rorhS/eNU1RUUkEkWUpmlZmLCMDpByMr0nAzr0OHNPKfDAFyLQBO5svxB/qNwivheIBlWo57SxpbmJcQ28Nk65e0CFHsoI2icks5wcEY7jV5cLgLwRp3B6qVPhZpHu125Wtn3XQ1YrNmVtG1dUKWSyrLLDH7YPh1p1YHV2JbuR6it9Nzg0gwMzZ6kdB6/kvo/+mhz4muzLJdSeAb8pMDMTI09b6L2N3DV7R4+29YrheH3OKGxrUvGZbiK5pXKiFa2elgnkCFmEY82JP2ZfpVlbXn/AJDhSa2T0+cTF+8kTrov1tVrUcLh6b8Y97W093k3gAZi0EwDaIByzsVpVy5z5btHG9fvveFLbt98ibqpaez2WGmlllk24J1WGPyqeNfLeUrKWDMwZ5PNADAljd/BGMcKTbCZcSNQLkSYgQI00Guy4lT26x9LAnHV2hz3gBjWnyudytloBzG4cbgzYDdcI4y2DtLxCb8vm+73deT7nxFt28UFg2jQtQRM8/skQZ5J290JCsqqTDGVMnTh2HRrpYbPSb4gaBVfLiZsBNvU9CbDUTK8Fw/hOH49i3nE1nOweGLGMbkgvc0S6f6WzrAzOgAkCy9Ebly5eIr3yFZZd+1FduapoqKgxHGkk8srO4jcSF5AWHWjSFX6lY9lAGuMzhjeUZYBOugt8Bp9YX3L/ANRc9Sn4gzBotuJJggSfj0tbUrVbjy9vKr5iptmvdoLxyTaLAn3vGLhLTRUKyyMk0sUTKscVO8EyFJZZYlSNyAAelTGYKjkdswkXIF9wCZ1nUAEk2g7Y6/tDXGOZhHHPWY2S1uoJtIbEkRoS4AXJPXrdl4r41hqtvVO973T8iVNzmlWkpLRUSQUlvkkhUQQpJMFjCiOJQsy98qEjjRXCvoIIJ8NvMBJLhBMGSbX1Okd3GwA6dDBsexpxLpYTYNMtAiAL20GshoJIaLlx2enuVwnuO3d6zUFtv7s72aGCSll6kaeMq0wSRMBhJTxSdbMDgM2Ex06qGDhpY2RNzpEC+oPQ9/UroVMXmcx9RoIbbUzJtoR1A6CLgLbdz32w1lFfONd0TUW4fuuCpSWdmC2+41FaskMccNPgIxRjJPLJ0uEeMBCxUgJh6Ba4VG2mANc0CCTOzYsNC6ekK7FYpjw7D1gHRcyBlm8AzMmbkXDYvdc73jxvxDsWDdb263XS7WurgpmnoquGaU7aEM6P960cUgkMEa+8r9KtiLpaNXYurXsc6Za2IuTa4/pMRr6iTawErk4vhWHosdmJc0xaS7K4fjbm0ib7AX7LN8abug21JVczLs27ck7Nq56hKWO3xmR62IOY1uFQsh8ozL0qi9R8zyEZ5OpwGWvEYN7milYPP9UDLP4et9TsCQ0ECybBcRptzYthLqZ/pl2a8ZomIGg0LruIlT04qFYKSpv+4Z4o7hPO8iW9Io1S1J0hFpndRh3QKx6QSqtI+CxPVrBWwjRAFzue/beNp3AXpqGILhmjK3Ybx36HePmbLsB3BRRnJe3A/wDc1n9y2CvOIgXSxueADMc1Pj/lx/TROCO6RuIHZXO7MD/egfj2J0owBnREYkFcp5Y3Sai1WuLzZnXzppWxE5yFgcAk4PuguCfpkeuAdWF4dBcY2/ULDj8YcoM73+RXJ/DTuCC2bG21E1uqpQ237M4FJTsVP7Nh1JjBCdx+RDfPJ6/H8DnrvJGjjrH1+S897GYwNwNEj/8AWzSfp812XZV4nsVpNorRuCgqzVVlT2jlMfQ9TI6+9765wynGc65mNwAc4OaAbDpsPgvQYHEloIeSCXON50m3X81t8m8CgBW/xRAevnonf9/SdYxw0QTlW4YyDMhOF3TcugNFPbqn5YLKD+7q0owDCYTOxJ21Vv7XXBcCajI+ZSZWH7m6TojhwhAYyEJt5yK2Hgr0/wCYRdQP/wAJOoeGwLIHFhI/trAP/wC7ER/5wy/zA0h4bGoU99b1V13dDOD5VZDOvb8MgYaY8P6hEYkG6bSXelfLvS07fXy1/njR9xtql8cJu93gJyrTRH4eXM6/wBxo+4bQicQJsk/fcwJKXCtB+RdWz+8anuAjREYm2qGL/XocrckkX4B4R/NSNQYEbC6VuJI1QW3NcgcBqGQY+JZf9dQcPFyo7FHZJ/tXXD+8pA3+SdT/ADA0v8OlT3sITbvkXBelrv8AuqG/kdH+HHdA4qEL+2MGf2jzxf54XX+mlPDnbBN742NUht5UfYGugX/M/T/PRHDzGigxjeqWN0QyANHUxSf5XB1Dgwm943VjuEkEhyTnQ9xQ94QG3AQenzPj6Z1BgZvCAxAmyA24R3w+R6+uiMJdAV0M30nt5jHt89T3IzdT3i0hN3vxz/e4P56YYNDx0B783/tGx+elGDnVDxt0Br9nv1nR9z6BQ10Br6Tj9of36Hul5hB1c7FBa+en7Qn9dM7Czsl8aUB74TgeawH56Iwo1hTxwm7349/fPf66Iwd1PHk6ptJfTj+9P79E4W8wp4ybvfWPbzSR+eiMJdKa8IDX1hgmQk/no+6DUhB9e90Fr8xBJk7Z+eg7CiLJTXEJs9+JXHmHHz04wkFKa8JrJfycftNEYPsgMSdJWO++4gpASId/+Ea9r/D2leTHG7XS1viYB6IQfh2HbS/w4KHjPdHF8iIIKQk4+Kg6T+Hbqz+MBKN2o5ABLSUcnSQw6oVbB+Y7evfRGBI3SHi7OyoXG2N+K32xvnmnQ/00XYJyb+KsmIHyRkuNtyuKG3DB7DyEGP4aBwPVOOLtmLIntdpbDNb7bn5+UoxpfcXBE8WYVcVNmOT7BSA/TIx+46jcG4CNkg4gz7lFWqtajCQBBjt0yuP/AKtL/DzN/wAlc3ig2/NOkuFKoDK04H0qJP8AXSOwG0I/xWLSnC3WJfSpr17entDH+ugeGpTxZvVHF19CK64D/wDT/wDhpf4de4/NM3iY6pa3lvQV9eP/ANKD/TR/h8nRXt4r3S1vc2MfeVd2+br/APs6n8PA0RbxWBYq0l7rVjdobnWvIBkJ+z9/6d17HQ9wHT80v8Td1/JR85Q5fkpbHFVW/cFwpOmojikaOkiq3ctL5bQNAyKoz73vlgVK+mNKOHjXKY7SNp1P1gFZMdxstpyH79Ad40F/jZebO8+cd7bgt6bb2fa7ze9+3utmsslZFKppnqK2P2VUleRGeoMcQl6WQFUbDKxKsutNPhkkBoho6/M2HXvEi3Qr5vxn21qeGWUgXVHnLaIlwygEmLjXlBg37KQvCXHu8du0tq2vf5C7rLJAK2hxC1FTxP0GKgYIGghHXEobpMnSY1PUACGdgAOYaamd/X84Bhd3gHjYek2hV1bYRENA2aLCNBJE2XSfEVvzadws1p40v22tvTu1YKShSriRoKApTtIjyNHiWNvcYoilJGkjXJAydVUsO9pzhxvM777CIJ+YAM7QupxziWGawUKjAS4wJteJBJBkaep0CjttXd+0ePrc+6KmW73qiio+tq+6N5knIG4JQFZA0cR8whUVI4/2Uaxq0gwhdjKlE+Vrco0aB+Eakm9idSXSdBqAFxcHxTD4UGrWeXmLucB/McbBrYmQNA1ogmTeS5adsPbFZd987X3A1RbJuZbjLJuq/wAd0pnhjuBERpKKFlbqJmT2mb9o2QuAo93pZbhhw1ppXDWCAfW509PX8lwuHOdVxNPGENFeqc7xcSGjKwCZ0zW2gaXBUx6PkGo2ftQ33bEcN8235+bnZTa5pXsN2HaYLGWPQGYl5ISViIZZ093zM5XYPO85RDvgJG2vbe/TWF7yjxltCkXsjJNxDuV29u51H/yFiVxrk6rr7/Twb2uVyprU10r7VSVNCY+uioVgqY5I1hWNn63QVVRK5BKe8TiMIp1bTwQa4NAnUyNTIjQgWsB19ZXO4nxB72Gu90DlGU6CHAgzJvckjTpZsrb9t80T8a26m29DfLTYeP1tVVc6KuNCJjTmWSQVMUzzy++Fl/CzAv0P/i1lxGEhxc6bRaw9NAdegW7h/HRRApvLcsF0nMbyZBJI07kW9FheHNwUe/xbNz0G87dbuQ62I3GjaCjg9jpYpv2EqsEEfTKwQZIyCGyO3WBbVYxrHNIMaEzBteL7T3HfZZOE4/3lwxAeC43aIEDUTbePXfLqV4yeL7hf2CjtXOll9hqbfeKiWK8rRU7xx0lxDt1hzlkLhupSUPSVEberMda2sgZRtpppt+/02X5z/wBTvZsBw4tSjnJzhs2cDvrBm3yJ1K2XjPxB7535xguxKnflyNfQW6pgrLQ6wedc4SyFJaMuQ0koWNupcZVjlQes5yMwlKc8XtF+nwMbb/QLr+z3t5jMZw/3Q1eZrXBwIGZwtBbJGY6yI16yuLeMvdVHu7fGyr1blqpqJ7BGYamrkjNTXKZpG86dEJ6HJZlIYkt0A+hGpQptbOnoNrafqvI/6q8RZisRh6zBILDc6m5uRcjprtayh6CS6qrA5B7/AAJOtO8FfKxUP4V2ngzkP/ss37QbruFyusW34nhp7tQ0FYaepudE8qmSKNh2JHQr9yACFOlc0O/DMaeq9X7HcZfw/Ge8OeWsEB4BALmkiQBoevwXpq3iSs3LAve2uN/D/wAq8j241UVTSU9soYraslL0jzZ5ZVBeeolmRIupmcBRJ0gvJkNTweLJDy1o/wC42HQAWA6ki5sJiZ+6VP8AUDAYzNQwVGrUba1NgBI1c5ziSTewBsJLomIye6K/nnm6+2Dj7eW8NjcK7Skp5ty19os1yF2vtr9hBgihkV1VIahpK2Xy6VekhgzdikeEpcOpAucXGplEQ0ECXWIkzNhd2kepVmP4txrib6ODeW4Wm7nMua+o0U7g5RDW8zhlbqTB/CF0Ox8e8bcTWXbOyNqcgcrLTWm2tcLhSx3qoovZJpG/3mpK+UKcHqcmPI7HIYDuBiadN7y59IDaTf4XNz6R0ibL0nA+HUOGYeng8NiqhgF5AIFz+Iw2Wi95JO65dUWp94XC31NJu3krfzzPUUlHWXm8VtJQz1Id1aKgcFJJFRzFKWGCY1dmkGMFzhGUgS6mGW3EmNZIJgQJsYEwIMrjvruxVQFmIfVJJAIcWsmYhrgOYzFwHGJOYALtXFvGnFdmo6PdNvudPfN13Ohlulcbo9LW+UnTAIE83pYFpJDLjo6ViDdwfLDM7qwAyU+UN6SJMmY00Aud9omF3fZzgOFpH3lxz1Hi5dDjAAibmxceUDQRMkSpDpzFYL7b7nV+z22hvVDbqukkWermihjgPvLPLUoEjjiBji/CWy3bp7HWR+GeGmbabb9IJJJ6D+y9tS47ReIbZzJETtGsgQ0dTNlm9vb8q/8AsmqKnelNv+e4pCzUVA1ulp6WaR3bpVvP8lApMsS+WGJZXQEYJj1bXweV4a0DNpJIn5SSTY7GO5EhcD7Qk4U1apd1gA3mYuQBEEXJEjpN4z793tuqSosX3nbNubJp6uopbVbGa9MKm4mnMiszvMwjigNR1NLKmVjUBR1llVozBtzCTJMuiDAFoJgSbC1pcT8R5niftBiA0ZW5RIaDmBc4yZABIaBNiZ5QDOsGa+2325WRWekrGt+4K2ot7C82221j1JLMehPvS4yEyTRZMWVIjjVAV8tgekMaLnCKYlo0JENB6hu51MkuJPTVetpVQ4h1eznAy0HM4joXWgdmhrb6wuqWLZiUcsF6t95Fup4qVLNW0FrjWvppohG0LSxLLGWd0DHLdPUyBlyQq4X3drpMZid/L362Hx1uuhS5IDOUNsW2I6drj00st52Zcqjadztu16qhn3HEKWSekv8AJNHHTVNEoVYkOT2njAEbDBJUB8nJArfhZBeLfnJ+GnyV2HxuSKbpPQjSP3Gn10XbKC7KKcS+ZA7yM0pKLhQW74Hxx6evc+vx1V7rBgbLYMY3VPPvrGPfB/I6HuiPvgVffR/9r2H/ADaT3S0wm97XJOT7400dNTIxkdaKrkVAC3msVCqnYjswVxj44I7eo00MJqT9/f30PMx+NmG7369rfH7vcaVwFdJKfbG04mXyf/3ZoBJEBgQuIoW6V+hVw+P+fP8AjAXo8YoTXeT/AFH9fv8AvK4PsZiyMDhwP/1t+Fh/n66REhPvk9/eYH89cj3NetGL6Kz3lmDB2DA/A99T3SNETi5TF6ykYZanpyT/AMgH8tM3DEKv3kbIAq4I/wC5aph/yTOB+7ONT3USj713SWuE2T0XCsTBz3Ctn94zqDCCNNVDizEyhm7169va4ZPl1REfyb+mlGDGiBxhhNHudQxPnUVrqB884P8A+sp/np/duhQOK6hN5LjGPfa1zI/wMMoB/gy6X3ORFo++yHvY80H7+KR99ooOZL1T4+DdTD/6tKMEdAEW4xvX5oL7gVGz99tEpP4ZYlx+/AOrPc5uAgcfB8339EpdwSsD5Vfb5j+Xr+eGOoMIJkqHGEiWxKoXyvGcxU0vwJSQj+a6HuYUdjzoUNr/AD5JankGP+F1P9Ro+4oP4gAEE7jJwGgq4/h3TP8AInUOBUGPCGdyRZ7zOp+qMP6aAwJ6JTjxOqE25aZ+xrImb5F/X9+m9zjZBuPaTqgNdaR+5FI7Zz+FT/HTe62sicW1N5aulkzmJCfgVyuP3aDMJCDsUN0M1yL2SerjHqMTv/U6UYMaAIOxo2P1QDc5QMLcK3t295w38xp/chEwoccRaUA3arBPTc5SPk0aH+QGicGI0Se/ERdI++q4E5rYXH1iI/k2lOBERCDceeqbyXy4jHRLQMfXuHH8s6gwLQLpXcQfMjT4oDX6vxl0pX+qzMP5rqHAwieIu1Q/7RVWCDT5/KZdN7jdAcRdJlCfck4z/s07Af8AC6H+uiMBJQPEkA7ncgg0teoH/KD/ACY6X3Eg9Uo4kO4QDuhcsCtag9O8Tf00W4Ao/wASGhP5oT7nhznrnUntgxt/pqNwNohE8UGkpu+5oB6zsB69w3+mp7keiA4ownVN23TSZJasjH5k6YYAqr+LM/qQG3VRH0r6b9ZB21HYI7phxQGwIQ23PSkDFbTZ/wDerqHBEKDiI6ps+46fA/2uA5//ADB/rqDCCZQPERunDXNlX8ZOvaOoAL5aOKEWVC5HB6WJ/LSDD3lMzihN90Zbkcdmzqe7WuoOKOKULk57dXfGcaU4YJXcSOoKKtzb16+31Op7uNITjijouiC6MAMMRpxhoKI4o4HVFF0xkdQxpBhQlHFDOqKtyOBl9RuHumHEzqlrc2wMsB6fH00fdhKtHEzqSiJdCf8AFn9dB2Gsk/ihN0Vbo3bDd/z0BhxMKfxM6IouhyD1HHr66X3UaQmbxU6Sri5kAYbA+uj7sFc3ihQqm+ikhaeTzWjBUMEUswBOMhR3P5DTe6TaLpv4tAJJXO9w78rqj/ZtryJcK2UMlM8TOhhlGQCXaNkAHS2QxwQD+lTsIcsmw7qqrxzZhk9lHG97gk33R1ke57nuCWhgrXpqeO2iVKS6zvGyyylowmKaQuY1XPXIoHorEvG4YOE5Z9fpINp3iIG86Dh1+MGqXNe8tAOxiTvcCYvEzJi0alhafb5N1bMp5aLbFp27ap0esp6aFlqaeRopY/28oKRMgZWVSB0qI2C+vVoNwjz5yT2i3qN766Xt6JW44h1NjGhrRE3va0Eael7XvNx3HeV5egsbjb8u4aikWp8hK41coqJ5yMtFEzlSYWwpaVCfwqq5P4a/cwTGUen5E9u25K7NbjBaCWuJvr0PT49bx1lRl3tU+VsOprb1tekoZKCplofbqiaSWeCaR2FRVdUbMMssjIoVmIVZGZupgQ7qRDbReNgbC4/c2GwC4tfiU081QGWk3J0cbT8jAN++gUf9rttq8bovqb6sdNfdsW+0z0lL5KO0NxmlhZo6l4yQRGAEcLgOOkdWSCBmZSIBqATHbSNZ1uPkDovP08VTq4g06w5GjqYcSLHYx3ubXMWXVKa87e3Pv7kyfjSCk3BR0W3bQkNYJeqlEymWpHm1QOfLPtDIWOXAjjKt27PTZnGoAm0j4WGvwFuq6/8AE2uxDvBOYhjd++YSZ0vE6iJCe7i3rdOP7hSci7ipLBdIVtMdpv1JDNUMlZam6lNSMoeuSJXAZ85ljadD/gAj8Kf/AG+aO3Tb06DYx1VtfjTqLxi6trQ4BxuD+LuQDc7gkDZdK4/3BBTbY5JsdNa6yvv8FD5tuulK5uENttpUvT06svSUWF4jG4C9R6VDAnGmfRLWkAW1O0nfWJ7bLTgOJthzDJMct5AadNJjS51Ij0XErxu1t7cdCj3K+2KGvgpqI0lLUUJeWrknlRwCyFSjd4yD74GHOcsNV1Q0OhxNzbTQev3t1WCrxhuIw/M1sASQQZJJ7fe/RRvflqn40vlwtsG27Z92UVW0EtfX1QUVk0SGWUTQsWd5gOpom95BLIUy5VU1krMeLkADYRfoI2vpOsSR1Xnh7RNw1QsiQNXE2JgkgjW1yANzB6INnvPJnMe0abi608a2u124Uc9lqKqGAXRhHJOWEj1kjLSUohUrGTEJpwvVhQT214fhtWpeYB3EAH43c4HoAAesLn1eP1sdQ9ybQsJBnnIkmDEtYwtBu5xJE+WQvM3kTY+6OEeTLxs3ckET3u01RVnQypDWoPRkb3X8pwSPgcFh2Odc6tSNN2UifX9rhfH8XgqnDsZ4dTzMOoJ+hsbzrY6rbfEBurjTdV72VV8X7bs+27YLDSG4xUPmqjV7r+2VkkJw6lekkdm7N8RqivWNSoSfTSPyXV9qMVgarqTsEzLygugkjMdjO43XAeo+dKhZsnPx7fTQIvovKNJuApW8QcVWS+8X/wBs4bpcbbyQL7LFaI5qL2ijqqWOJA/nIRhU6nlJm9E6D3yNbmYd2RoAIJvI2vb1HbfZet9nuDUq2Edic0VWuhoIkG15EdTroFJTafLSQ7d3vaN53S+bN55o5aahpbbDUm2QVVOsbHDv2WNOqRJOvqPSAH6MgEpVaP8AZqXM6n5ba72AnaV77g/tGG03mo8067AAGN5Q706TIvIG8brLcLWze+6pd6XTaNfumLc8opbQu4aK9BI6MQBmlmkkR+upZ5C4C+4j+SZC5GcXMw1N7MtgJJ1MwBYBu25km06KcDxGLq1qlamXeKQG5wRAMy4udebwCADmI1G1XvelPxRcLNBPet38sbvqqiSpShvK+ciO6kzztR5AkqI5TKy1Tydm6h+HJFIaxr/DoNhwETNwOx0aD2AJmZO9+O4z7qWuxFR1dznDlIsTuS3VxB05iBoANtI3LuLmnm7ct0rNy3w2K30hevM1Xb6iSsq0McUMSVcdLmPqMaeV1Fu6M2SwwdOzgzwc9SflMXnU5d76bWC5mL9pcdxCtlzCm1pmTIJtlHKwuvBI10Nyu47PG99lbg2tLuO5cScbbMqI6uy0u4rVs2SeaGSMdaxwwzO0UdRPl1VnQ4CYIGVGtApOPne5wOwygm9hIk9zHz1XfwWIxWEfTa9tKmxstD4e4NMTOUkCToJjTSCJ6pbOPuVK6Ghh3FcbNf7PDc801lvUdTabrMomBWa5TUcE6SOOrJiIXy+xGXUEXUsG1sE3PpmaPQgtk7T6xbXquqY+o0NqODmSYmab3aEF3K8RaQ20WkTAWSbiXnCdZN3WmSWw1EclStmG26yCpmoU8zCyzCthSWd+8jhY/KIypADE6V/DmlhY4666stuABO27idVsxJ4m93iN5Q0nJEVI7nNG+zWg7rcuIeKqKrad6DkybfW45aKehulbX2yKJ7H73lrTuzL5oSPyz0wBVUFmLDsTq2lhqYBaAWixN9fkB6STAFgtPBqbgfEqVRVqGRceX/jqYAN4yyTrKmXs610dtSr2tsq5UjezSn7zuVKC9PDMUwYIFT8Pu4BI7p6Z6iSGNBtQ5zOX6n57f40XsMJiRRmnTIzbxoPv+5upB0N1p7TBRW+neAOqRxRKmB7oHoo7YH4fQDHf5aV+Hl111W8QyiAgW6liPtld7ZVR1dRVyTuysGUYdsKqOGCgHqbsB7zsfjqNw7YAiLfenayUY45iZ/b5LZ4K/wBmhEKzzTdyS8jdTOfiSe2TpThRqFa3iJ3KKLseg/tPjoe6qfxLqUlrs4wesn4ZzoDCSdE54lO64byncJauouMa3ettxFmmjHllehCRI3mPlSen3FTsQSzxj4nV1LDgMdZcbieOJcA10GD6Xm5nb07dVgOFrhPb6TZNI95qrgx27DGVdkwf2UMgKhUU4XqZDnJ6xIPQDW7iOGaTUht579SNz8lxPZfiD2UcO0umWDp/SCNADa43vZSKN2YDtJjt8/XXLdgwvZ/xIm0qxuz9/wBp+udRuFBR/iTihtd3A7yEH89EYXYJhxEyk/e0np5nf4fTQOFBvCh4idUhrs4ziQfv0Dhh0RPEd0gXdh38zB+PfQODEwoeImdUg3aQ5/bEfrqHDDomPETrKQbu5zmUfv1X7oANEv8AEr6obXaTOBJgfPTDDdEW8QItKGbvJgjzTj89BuFEwj/ECBqm71yOepkhYfVRnTHDlB2NCZu9EWEns8AcdsgdJH6jGgaJSjFiZCQapQfdmqk+glb+p0PdrQQj72SLlBNXMScXCsT44JVh/EaY4cdFX74R+JJa4VoxivDf5oh/QjQGGCY4tw3CBJcrgPSaiYHt7ysM/wATpxhwk98deD+abm4VR/FT0LH5h8fzXR92uiMaRdN3r2XL/d6s34vckUHP7xpfdxoh71HlCQLm4JDU9xT6Bif5MdQ4bomGMPdCN37Z67gnwOUb/TTDD30S+/GNfv5Jq18jU+9cJkHx6k/1XUOG7JRj9sySL2hBxcaY/mV/8NJ7uAbqHGE7hJN2ZgcVlK3+n79TwGpTjnbFIa51PbplpmH6/wBNAUGlA415Nv1QWuVXg5WJh/mP+mnbhwN1BjnRogNc6gesUfp/x+v7xoeFNkhxbpgoLXSf/wBmfy6xo+7tJQGOPRNnu0w9aeb/AONf9dT3ZKMaYiEJrxKPWGo+X+H/AF0PdtkRjnRCbPeHxgx1A+Xu/wDjqw4foo7HnUIJvDEnCVWf8p0ooQl9+KE12z26an/4DjTGjCAxibNdo+/Ukx+ODGf9NMaBOiR2PEWCayXSBu3kuP8A9Ef9NFtB0qv30dFzGo5+tfl4pbfI7dTA9cmOw9P5/wANesHC3E3K+ID2yoxygn73WW25zRbrk6U9yhWimaXoDIcpgnsTn09dV1uHFtxcLTgvamlUhr7FZem5ftE94ktIjI6WKl+sY7MR/ID9+kfgHBuZaB7S0jU8MJ7T8ubenqkpF9rQkkB2AA7aR2Ae0ZjCdntFRcYaVstZvzb9BQC5S3FHpy3SvR7xZsZwANVU8M5xygLY/jFJjM7nWWUsm6rbuGB6m2VPnKpw6kYZfX1H6aapQdTs4K6jxJlUTTdMLPCobvk4+es4VxxSX7YEGWdUA/4iBpi3cItxe4S0rOoKysHQjsQex0XMEJ/eSiLVEYPY4+OgGDbVA4kwlrVHsD6amSSJSuxUlMbjfqS1RLPWS+XCSFJ+CnBIz8vQ6LKZNhqkfjQzmJWBfkjaiIsn33SHK9WFOSBnGPp3Px07cOehS/xijF3BaveOcdm2ieenluUiyxdLdSxl42B+BI7gd85+mn9yeRYLLW9psNTeWuddaFuTfFv389zig3PbV29b4vPmiDiQVEh/BAWHS2G7MQrA46VOc6zNwxJk6nT1++3fZM7jDKstY4ADX7ka/ksdsTcW3LBS19hv+47dUXAOtQtPRKVPW2SYw491WyWTqwCFBwR3JtGFiwBPr96ffZZsJxim0EPeB6f512CyVLzHZ7NuPcq0jUtTE8NM5Kjyox0I2IUU+nSrIuT8dPTwjySD3Qf7R0WPiR97LQrn4hrjRzVl2ktFpqKmoCxKwjEjIgYYiDMcdxklvTIB+GNX1eGOa2xK5H/rHMbgEba6W2XKK7ckG4Lfte+32xQUlDSwGoWi6zJUzyFCied5bAHpBkOAoB6x3wMazs4c+SX66dfz1+euyz4n2iY5jXxA1j9wDH3qtB2Xv0Wahu1tt9PTw2KoT2i6xLTR+XKYIunolIOGLBGkY+hDFD2LasPDwRm6X2/b021uuZhfac08zaYADtddBOt/sLm9de7dS7dF0j2luii31PT1dbNR20CkiCM/4zL1kRxRBoowuGUgOqD1xlq4Fxtllw3JG+/WSZ0glY6XHKTKWdktLpsJEjp/TDRFjIEwLmFz+67x8SF3srSWy5XnbWzrVT1FFX2xqjpqKunlRQ6kTRuHwv8AiESLgDGTk6xN4DWBL3mCNpI+Mgn5kyslX2pxrqQbRJDQIOhtpEEDboIWuy82eI+K1mTbc1hv9rpLdNaqW4mdFrpqdx0EOYWCTSK6ArJgAydRIJOqXcOrPbLXAt6HX00B7dYVbPbLHsEASWiJ0+dyDpPr8ltk/N28Ztujb1x4Vt1C1JRYlqqW9UrSxPg9PUZhiJiR3iXuV+HcHUrUsSJc/KPiQJ32ufQroU/asupiiaLpjsT2MTYdio4XC+8n75mo6ep2per9bo5Z6ilt1RdEbqkLe+ZJWcvKqqCFJwAwUgEADWWjwyu54LQ0m1psN7Dv/decxnH6tfzhzhJPc9idbdNtF6LcbeLduLrrK29+L+WtmWw2VaKhpYLTHW0FD0yF2liWlYmNWLAHtgBU7YGus6hiGGalMmdS0g/Sy9twz26oYcBjmuptAgAtIaD1BE+ijX4obvxZ4na3d/IG2+QbVU7zt1JB9309QwppZKeKESS000UgVzlnl8tgCVaNg2Q645OLbQdIcS11zeR+fXfpaFy/aKvR4nOJpvDi0CI+oPzseuuy8vEb3oio91znpx6fXXm2HoV85DxmiPglvG0c5kYMy5JAA+H+h1bbZM4EQNl6ycPbstWy+MNj2+l21V101Ba5S9RJH1/7RIoZmjJ7ADqkIU5X32yO+R7NuFd4eZggWH9/y7r6FwLjtHC0aVOJIn6g/uex62UWuQrrba69cqclRvV7T3dbNw0NVZYJZ/eiqgImfEIVkcsYzIxZu3u+ozrhVmZWkmzpje3xsPp/fjcUxjK9apigYcC0gGNbbGSZj0FutnHGZuvINqhs/n2fjG11NVU1103mbNPNVVdW8jSPBB5GB0Dp6VBwE97GO40+FwbqrGl0+GNIAJJ3ubiT+msKcP4m+oDSpFtN7yS6oS4C5mAG2MDQbSdlIDZuxOMdpbjt09kuF63Xf4I56u5X26256sPAYliCD9mxhIeVy3ZgoVT7xBA6dDDlkiiwhrRtqb7m2kagwuzhMHgqVZr31PFq7kgkAZdtQLnfRdurfEDbbJBd6mpkue7qi+llNqulc8U0S0waKN5mCgrGYlKux6wfMAUAkAZW1XH+VSHProTE+k9ogSfqvV/+p6bWGoSXB1okNJyjuBbWZMfQLk25LtT7ptm5KOW4bJ27XVVPGaKAJNUNBUJULkUFMI80bEAN1yjzJFRiCsbhTpbh3F282nkM/wDyMQBvDZ2zSVyMXxI4im4crQQYl4sf+DQZmLZnRvlAapvbE3fdN2bdtc+39p3fck9HL7VcrdQ9FHS01bFgu6R1CwrFC+A/QpLBXBznAOunQdOY2Ikcxj979gP7enwXHzVphlJpdpIbpI6TAg9yuwVI5Tv5jtl6v22NlbXDlHCRy18tYjjqVJKtHiEalR+AKqsB3dwcCMwbSIqOnsBb1M6/l2ldipxTFvhoDWN3kku9AW2Hwk9CFltz8HWKks8l5te49209wiSMvTW+rNNFeI426vZGjXC9DgEKuAFfpbH4s2VsPTMS2ek9UtSk4TUp1C07xGg29P19Sq2BVJQWihrqSu3IlfUxmYUa1KJ+0iZh7JM0fYOyZK+91K/uk6bwmyBA+ZI6W9PkrsNjoacpImbb/rHQb7LtFBe9u0VTWVftM1FWAiPyXcvUk5/9YvvEN3AwDgDvkZ0GshuUD5D7C6beIicxPz/bX70W6Ulayx9ZFRCrEuIpMZjyckds98k9snHfUNG8FM3iBi6eG4YIOT6agoSE38QSDcDkHrIH0Pro+CieIQhm4H/i7fDUNHsj/EL6riG/blJUxb7hSJZS9tmhib49UNKXkU9x2VZRIMf4wvy0woHIZ9f0n6R8SuRjeJEl8XtH0Jj5GfUBA48qpqWk4+glh8qSG3wxySH1Pm0fVGvqfxKnmH5P1fPWrFU5qPnv+f6WCx8ExsUaAOzW/Vtvnr6rt/3mpGfMTpI/4uxGsJpbBej9/wC6aS7hoYGdJq2CJgPQuP8Ar46Pgzog7iQBuUI7hovLaUV1OYwAxPmDAHz/AC1HUdjqiOIjUFJ/tFQftP8AbqbA9T1jAOcfz0PCsieJAGJQH3NbF6gblRgjJI81e2NHwVDxRseZNZt4WSmVnqLtRRoACSZBgZ9D/HSGltCV/F2gyXQmMm/NtooZ79bhHjqDGUYOPXRbQPRA8aYBOb6p4u5rbKEeO40sis3QpEgPUe/b10vgQm/iYMQ7VE++qYAn2qEDOfxjtoiiCiOJDQlIkvVNDH50tXBDFnHUzgDP5nQFFEcUjmmyut0EgLRyiVfQFTkaYURsmHET1TSrvSUkZllc9OcDv8T6anhHZK/iYF5XAtw8oVX3q1RT1s1vSOGopZIWJAWXAdD8O/usM/XWylw9pF9/3XmMX7TnOHMdAEgjvEhPaflK5U9ehrbnQTUppomdUXPS5YjC49cjBz8jonh7SCAN1aPaaoHDM4RC6VNvi108UTy1sAmZVJj6sEA47/pkayHDXhdr+N04mdVrT8v7aSrgo5ap0ZoWlkfHuw49VJ+eiMG4zb+6y/8AqqlIaXX/AChbjDuShqnRKe4QTswDAKwPYjI9PppHYaNl0W8XaRYysAOQLMbgtunrYqepaXyUVnGXbOPT/r4aZuFMyFV/6hptdDnQdFnGvUJcxCphM3r09Y6vUj0/MEarFEarR/EyTEq5uTY7SY+OdHwBqmPFSEj71cntKcfHB1DhwVX/ABK1ygtciQep8nHpoeDeFDxQnVNJK9G7OkTD45UHR8CN0juJSYKaST0zEj2el7/ERj/TUNLdB2PAMhBMtPjKwqv1BI/lpfAaLqN4jukGoQdw8oH0kbt/HUNERop/FDGv5oRrPlNVZ+Ylb/XRGHAMEIfxHom7VMmTisrx3+MucfvGicO2LhQcQPUoBq5h3FbUn5ZKn/6dL7uCi3iTtQgvWzf/AMZL+qp/ppjhglPFHdUI19R1d6w/X9mugcKIQ/ijiY2QWr6n0FSDn5xj/XRGFtBSt4i7qgtcKn/+IjJ/93/46PgBH+JO0TZ7hV9z59Pj6xH/AF0PAASnijtioNMZcZPUfmde8yBfm3MYVo55Y/dSZlHoe+keRqrGPcd7J1HUVEbCWOV1lBzkMfXOi6PgiKrgZGqBJXVzlWapmJA6RkntpQGmwsgcQ6JlZOi3Fc6WJYfMMyAhiGyert6HQ8IAyr6eOeBB0W/bT5Xr9rT1TQ0ccyTx9DqWxj5fuyf36oxOF8SJsutw7jhw5JiZW103O17V45KmN2YAj3W+BPoc+usjuGN0XQHtVUm4TK5813+6JUeZDFGWhMS9BIwfg35/z07eGtBiUtT2nqOm0arDU/Mu+KWoimjub5VQvQfwAAg/hPzxpv4XTcLLKz2nxLSCNvvRbfP4iN0yRPEKG2xsc++gII/LWdvCBrMrdV9r6pEZQsdaued324yrI8NerennDPSf9NXVOFUzBbZUUvays0w4T6rR7/yFujcksstbWEK+CyxgqGwcjI+mtFHBsZEjRczFccr1iZstRSrqwzsZZASMHJ/XWksaCAsIxLuqa1AkqW6plWR/X3j8fz1YWtulNVxdJTWhjqopBJMaaMocxJApUJ2xn5k4x9NUmkDc3QZVIEaIyVAoK2aukkMRkVvMmlk7D0wMk5HofT56SGMM9Uxquzcyw1qqqh66eeYy+bVGedCzE9UYdOlsH07MBj6aFGne4iVScQSeYrYsF16Wwx/5gDg/rrVoIUa4ututc3FT3CWigp6SB5uhlCuGUMvwz3+Azk9jnHw9dZcRSLhliyUvIXBd6xVskw2vRo4UxwtXzRPII6CFWABZwQzghsYyMtJnA6dcPHNJfkAsIkn9N/2WWs4gBgJk9P1P309dhlutHYaGutEKJFDUy9VXMPeqKyXv09WT/d98BB2A7dskl3VBT/ltsPu5V9GpA1kmxP6enb9bpCbhmvcVRTXKuiYqUiqIEZlkuC4HREfXOVClguB2OSS2dClVa8w4zB06+vb19FacSctjH5x27n5rWtwWyxSU1wqaZqfb0sUrFKenLPLUyZA6VAJC9OY17HOABgHGqcWxjhpBOgG/qdPvVZ/KIHL99NQterrFfa2nt+057dQz22CYSyrUyqscRZep4ox/xEHDSMMksqggd9VDDvLgzYfcdhtG+psISPJNiLm/9z1Mb7WG8rpVBU0VVeuigFLBcGSJvYZCYmiQB0zGy9j7pQjBC9sZAHbpMqMLy13mOxV0gRk0/L+3ZJvN3mjNtNFNVxVKhpKRJPM60bPYh1H4T6Hqz6dJx3Iz1SXEBg/t+ytOJDQAXR8Vpl52Zt7fRvEu6be1fX3NW96emU3CilT3euEtjHYowAYL0DOD31W/CiowtqCZ2P7/AK/BY61NjnF7xc9Bf4D46fFecc1NLbqyrpKhXWWCWSKQMuMMpxnv6enpr5nVaWvLdIXPFSOWdJSZ1LZy7r2/Fk9u2e+i61wo4yLn6qa9i3parDs6335nlt1iSZY5KVagtLC5jziOEkZUluk+uOn1AJx7KnxKlSpioY9Br/hdKg8tp3JgfJR+3XX7k5Hrb7drdS10e3PvVqhmIykMs7JEgZvR5SFUYGcDq+HrwTSq4pwqEQ0mB6k7fdlixuIzuIYe59NL/oFKyDbdfsKOn29PUz27ZEjxxVFMK0wgVETdQMobqEqMVbCnAWRhk4YDXq62Hp0ag8SIG3T5D87LTQFSnTyUyY3/ADvJt6D8k/G+9ywXbcFp2ndhFcbw3QtO8KRQLbxGcyPjpKBssQgwJuods5OsL3io4sa6JuTOg/eNvnC6DOK1qJ/lamwHXr6Dr12W48eJRbZEVxtt8gnvM1MDU3eF5PbJ1LARoQCyxxqFChMAKPj666uGwNMsAbcW9SepI+/RNgca+i81HXfpPYaAAiw+7ldo3JzFuGSlpKNbxU1tVJUwvXQyTGZphC5dJi46ffBXHUCPgrHV1bCMaQ0besfW3911q3tFVLSZlxttP0vK0Wm5Y3jTbmuUK7uqvuqolSpnrZ2LNPUEBf71cnLARZbI6gOk9idVMw9MugWaPz/ssY9oMVTqSXai86/ZC7ztvnHdFEHuF1r7XcKqfqHSUHTED1K0QUH0YufdA7g474GurSwFIAAG66tL2rxElziIP5D9F1nbHOE1vmke6WnzJQhFGVld1pO3cqjlhkkjJ+Hw7aZ/CoktNyulhva5wJFQW9Tr6Ll24OY7rbpbhR0xlt9JWVDXFViQBYpeotM0bBcr1MUlKZIJMnbuMUO4cWOEXCw1fad5aQLEmV2ja/iEWGkskVwpay4UqJGJkaRQwwAFBAHfAAYE9/nqw8Oc4lwXQw3tY1oa11wNSt6uHiRo4Y7g9DSSVMjMBTIw6fLGPVj8T39PpqtvC322W2p7X0wDF+i1+DxNXGKEmos9NJL5gJIcgBcDIx+YP79XHhRmAbLJS9s7QW3QoPEtWQNO9Rblqesr0L1ACMZJPw7n0Gldwo7FOPbSDca6LZZ/E3ZBDH5FnrmqD+PqYYX/AK7apHDasnRbHe2VHUTK43uznmO52veIp7b7PVVUc6EknKHyyqBe/YEFwxHqO3w0/uDssFcqt7TsIcQIJ/b9d+3otdtvNd2t1HttLeQtVTLHH1MMlgIwpDHP+HAC/Qn561VcEHOM7z+v5rnYf2mfSpsa3VsfQC3w2Wwnmevehlh8+pWZkVe7ZAYY7/z0zeHtWk+07yyJuVpd/wCSrzcKueSnq6mGJ5BKPe7hgAP3dvTV1PCNaLhczFcequMtcRMLVTu29u2XudYyZHu+acdI9Bq7wWdFz3cVrnR5hZIbyuzRLEaqoWLJb8Z75Of6DR93ZOiuHFaxtmP+UKbdNbKVY1dR5gyGPUfj/wBHRbh2bBI/ilU3zXWMrr/XVaqr1UzdIA7sfTQbTaDoq6uPqOEFxWMe71RVVklkKDsAG0wYNlUcU/LMp7Hue4ReQUralPLcSIA5wrD46qNJusJm8SqD8R6rLtvy8CGSNLhWq7hRkOc4GlOEZotTeOVgIc4yUzj3teCGp6mvqauDocKskhIBPfq/PsDonC0wJ0KRnGqxGVzpF/qteq+Z967cFWsF2moaSRHQHzeoPn/EFH4T2/XGuZiqLM3NH6rQz2kxVPRyxNH4kt8Mr2y63aW6UkSNGGOD1A594/UBu2sVOiwOPVWu9sMSR4bjIH3P32WSm3lW3Zae4VVSPMZFJHmBmIHYZI9T8P4a71JjANpXKq8TqVYcTH9lsNs3BJA0UjsylAWTLZHUSCMj6YH7tO6nstdDGwRJ9P0+Sztdu2suVsnq5a0e1NUBcM2WCH3j+g7fu+mszcO1rgFuqcWdUYXk7wtVrb1MsaO0x885J6Se6HOQT8j8vrq2nSB2/wArn1Mc4DW/6bratvcpV9qjcSSTed0jodW9FC9IX6fn+ekxGBzaLo8P9o3UxzH7H3qtVr92Sm6xXKCSdpU95W6sHrznORq2lh4BbCwYjis1Q8FNZ987iqZkme51Ucih1Lo5UnqYscn49ydIMHTAgBLV49iS4OzQeo7rpO2Oar1b7FdLVcaiWtYxkU8jH34yc+h+X01mxPDmkgtXb4Z7VvYxzaxnolWblG4wSRVMlTUtEgR3jDEKxCgNn5ZPx1KuEaLAXS4T2jeLk7fpdbXtjlm6XXdtZLXTiloJmwIh38lekYA/I4/edUOwIZTuZK6GE9pqlTEmbNP0TPc/OtRSXFKWmqo4qVHDllOepOoAH54x1A+uNZ6eGbqdSmxftU5rw1mn6WWHh8QEiXdleoZqEtGHUEM4OO4A+v0/8NVtpNIlQ+1MO7LpFw5z2/RTqPOSeCbHs656WORnJz6fEfnjVLWSYGq6dX2ipsvMgrnd150uy1FUaSSBYB/d9OGGCvwP0bW6ngQW3P3K5GJ9rnhxy6fNLtfiDqJKcLXQQvVo2SV7CQfX5aepw+8BJhvbC380XH1WcoOe6Scyirt7hVZj7j+i57fwOqHYJ7QtTPbFjjzA/NNDz/DJVSRrb4ooApZWeTHw+OmPDzqT9E3/AKvYTlA+q2yg5b2/XWwV88slJJjBRvi4HdVP7tVVsIWmy20PaOi5mfNC1qTnjbqYIhqW7EdPxz+fy0wwTyVnd7XYeRc3WtXDn0TJMLZTezyeXkeb397PfuP104wDtSVhq+2Ivk1/Va8OdruGklZkZfdAjwMA47nOPmPTVz+HjZZme2L4n77rLWDnsz1awX6Onp6foJ81FOeofTSVMAADF1bhvbLM7LVsFqMMZMUg6zgJ6/Dq12XXErxrRKwEryoTkEDJGqS6DKAtor0VTKBLkkj09NEWPdPnJF9EWSqZVHTgHS5jCrMxKEalyqqTg/HGnJMwowwLIfU5ck9QbA0GtUeDMrKUxeX3cHOMn6auYQgDeE/WOQA9m6fU6BbIVjWjcKjE4A7Y0ewUDTureXIAMgg5+GnbM2SjSClKkuS2Ce+NJAKEEiSiBZcjA+GnywnuDISuiQ9gp+J9NEtMpr67q/RIf8Lfu0blTMd1cJJ3PRgY0gTB5TeaijqjF50byBG6gOogEjv3Hx7/AD0xaNQkcJEFAqYZfb6GZeoyZZCMeqYy3x+YXv8A66Q07iErmE3BWJvlwqLakERWNgxyreYVkLKchQMHuRkZ9M+vrqis4thQOO61K/7wv9PTRR2+1wxVwkLtJNKMdAOCEjXu7+8vYduxJ+WubiMRVAAEW+vpt8UrXzcj52XLbWntNlu9Zd5dwVVTcYOuOplJVamXLFxGe/8AwIekYAy2Ow1jpx4ZL266LO0kuc4n6QsXXrStSe/NVzFyB1tJ1MSRgYPwPf4HSuazLAGqQSRdMlhoIaVqWkSsjmwFIgchzj0LN+IDPxzpfDaRDR8EGOgzP3+i6LtyxrfUqrhc6eJEpvLEKl+oQhkKlyenAYD3sjH4h6Y10MLREF7/APH3+6vDQ8+n5/fxW07G+6aKOVjM1bJ7RIIOleoShjgSAYHcqoOfiCT89acAQ0Q3WFbADuY7/VW3TTx3Guoq2Ww09FTxO/VcHnMDoWwqujIDIpDEDPYHuCCNGux9Q84EfGfkP3QqEA2Bn5D5/wBlowg3HaEu8MFPDUxwzs5radGl6zkF2kjXuFPUwwA6Ag9l1zzTqNkA2B2F/wDPog5zhdwvv97BYe7z1KV9uvdjqqWsqlygVATTISOyMoPQykFvVgy5b9ctZxzCpTN/v77JXOcAMwv0HRQO5XnaXf256sW5bU8tQJWgUhlRyilsEdiM9wR2OdeC4iT45J1nZc3FuyvkCB9/fqtDWVXAhPmRp09+/df1/U6wvMaFVA2hb7QUg3zu6gt0c89HRyRwmp7gNlUQSCIemS3UR8gSddDDUW160mw1Ue6SGabf4XV67blBabPsWgo7zuKmp57jLPPEJy4hSKMSM4i9AynOGyPQnHx11auHpU3Ma3W512Hxi/otQY4MAB1P3tJj1hbTdXu9LTUkldeKe53auDMtLV0iTOIM9TO8nctjCKQvd5GEY+OttemWuytccx2t8Nr3sNJNzYIl78niG42nXvvAgXJvAsLlbhtTZFZZIVr9w2WhvNNWIkjzRhjUQOF6h1YI6jnIcA+7jpXOMHfhsA6kJdBB7fv+e/0TNE87xrv9f2tt3XVtp05padpbbSUd3tsaGCeoM5pz1ozEKYFICtkkFsDJwDrqUAWXbEd9Sr2U4MCelrBbm8NHcbnWSCKaScUphkcv5k02TlmYMOhUAAUYz3z6+utzcriXEffqrBGYHf727fFaq9utdlStvaWanksdV1RCKD9onQV6FyPicgeox7xznHauo0UxnA1VZpti/lC2uzCC2TPVNTRzwufMjnjPWrvhRlc9ycd8gYHfuda6FQtMi8/r+icMynmGi6VLTiogCNhZPxK2TlG+Yxrc5oPmVmcn4rCXSKaBlq45Xmakj80LI3ukZwR0gY7r1An5aqewahBxdE7BKt9PWWypqYJqmpqaDI9mxH1CJAMBCw7nHzI7jHftoUmFouSR+SAJBgrNRVBnUsiTLH3wXBUk/QHvq1riRMJ56JWTk57D5Y08DRBsKicg/P4fTUeYSHWUL4DJLZI9NSSDZM5t7rVbgcW6tqx3JglwB8UIOSfrn+Gs73Qy6ryzJHdETqEVLOgTGIQ+PgvYKR/X6flq4mCkYw5RHZZoAjIYknv6/D89RwiE9zrqkgZyRnv8NRx6qA6JHST6Z04MGTogJBkK56h+Z0Q4Qqieqsw7dOB9e+laZunIhIIOQRnSuEWTB15STCzD1AH102hQifRNzGVZhj0+uki0lUOtZJYZbPqT8dEmBKZhKwd6eSKkkmhfD9OMAnJHzGPiO/prJiYySE7uX4KPlzrJ37SVSVtMGCkkkFcnsO57/mPidcCo+9zKyOeSJTOjeWmlgWKGR55IlX3CMhiSc4Pb0/noMkPhok2VbXTE63W+22W4Fo56iJqZGdQgcnqfse4GPTPy/frpUARDnalMXE6aff3uuo2+rNQiM1RG8re90g/hHp+uulSeDotJe7RZA9Y/C3odWC9lYHE6bJLF3x1OT2x305aAla6UAqw6hk6BIKl4ukOrepPf1H00CQEeYpBDjtkH9ex0N5QI3QSzp1EnAx8/XRgBVtkGFQnlCYWQ4I740jssyVA4gqo62elczrK0ZAwWzoVMsXVjKjmmy55uOtt8nmzPWypUsOtShJP/AHf+vmNcjFVKYkDVK4ucZJ++y5ib7NFXw1LOA0ZRutsDrAJGO35/r21zRWi/3os76hhZNdyVE1VFNKQkeC6s6jGSe7Nn6/lnV1F+UybD8kxxBddZ5d4VEZiFUyr6qG6uoYHrjHYD/XWgYyDc6qwVXEXFk9odyEUpqk8hHZuoL5uG6c+g7flqxuLIAEiUtOruFsEG4IJOnolJYjv0nOD/AK62Cu0+VDNe6LLdYYjG5k6g56Rj4nVjnicvVHMfMU7ivzTQx0yyHyUbrCn0BI7/AK+mlY4OdJTuxJyho0TYVUZdlyAA2Cv1+Wm8TdVuPMqWQ47Me/y1adJKVpIEJBLY7ep+Pz0ROqbZNz1An0OhE6KuoTEFSkSkmhomSNfMYjLgKSD9Mn46BbOi9JTaW6haTXwyxTANnJY9sevqNVmQLrORuU+tFI1RJKwAZx7qjHocD4f9euo3oNU7AbwntVQeYyRrGI5cElcAdOO+dNMGCo6naALLFNTHrnToGAe59MfPU3sqsuyUacdYLIWc+v1GpJTBkD1W32SytMpldOhf8I+J+urmOVjMPN1sa2OMEHo/XRD9Vc2hbqEo2RM56f3nR3smdRvEKvuVcN+zHp8dQuEwFPBaLBXFlQEHyxgabMEooC1koWNScdGPjnQNS6IobEJvWWr2enllRAGAOMn00HxEoOoxosDC6GSR3AK9IYA/H8v36TxBNkKbTvYLYqe2JPGHCrn44+B1aH20TignQsqgfgU9u3bULwSoaN7oYsECuZRDEJSMdQXvj/oDTBwSHDg3IumlVYZ3IMUNsdCpVlmQ5J/MfDGe2NCehS+ANwCuM8m7VqqG2tVUEyRQpEyOBEvQkJH4VOQwPb1JJPpkDtrkcTw5NMuBNlW6mWw77/yuLWmjrLjsfZtLVUT9Bp1w4kLdK98Nj0De9nHbA9flrl0qRNMDaFjL+QSNVgrjaaqkZUf9tDHhS47+YDg9QGMKO+Poe3y1Z7sWkhZ3TmundltFVXeXDB1r1noZhkszfIH1J741fQoOIyhVsBNwpD7K2xHT22qWuSRlkkDTRdukQIQpLZGce5jA9Rn1wddOmMrdL6rqYehEytts/sAoa2qiSlSUu4iETJ2RZGZQhOM+6w7dvT00aWIA5SbraKMEmNFhNw2sXB6dKSTcVjmkm/bVTUb+VKO5AYDI6QcMCCO4HqM6pq84BAIHUKurTvDTJP3C0Lce37fS0VFVV++Ku2VM7FxOsCoXwM91IxglE+I+IyO+sGIYxoAeXT99lPCdNnCfvvuuTbj2+s9TLUU1wo4LoJQ7exNI4qywDpJNCepiOonLABssQp+XJfTDyYNx0+/z+QVVRhZzCwPyP7eo+ZUKuY+g7ohljohb5moqcyjqyJJUDI7AHuoPQPdYBlxgjtk+R4sSKpJEH7+RXIxZjKP2XH0yS5GC5U9QI9B8v5a5eljcLIDNzqupcd1FwpIt511uq1paiKgjcP1KGXEykBervgkAHAOQT+eutw3yvkxp9/qmpm5LRMD8vvutu3bcKS37ksSVErVphkmLJAQvmnqChR6jBKgZ9CD8vS3EYhoqgi8D7/daahIIDrX/ACif2W77f6iLjuy8xVFZdpULUMEBY+0FB2EBf1hiXsrZwD1vknpOulhmloLyJcb9NdT2HTtYaqM53Eu0HS+mw6xqep1sFJDY8N2vFvo/vi6LIVgeeWKNVMU8UoJZEGQCUOcv1AHv0jvjXosNSJZLnT+X+PqVsw+beP7X+M9dguuHbVBcqGmqY5qOsmSLMdXT5TyAV74KgdR7EfzA+PefSY8Qb/eytZQG2v3r1WLpdkpQzWyK1XW70UaKG8mVvOjIDD3ZFb1PvDPf4DOdVswbM3LYhVmk6JB+ff6rI3LYt9uLGpmudA6lw/RFTtEH7EZbue+GIx9frq2pgc3mcT8v0U8GqdYA7T/dPLNs+ms80i01A8MvRGrftupBgZGB64GTgegOrqdJrRygBM2jGmv3Zbi1NIEGVOCBj66uc4BO5p3SZ6B5oHjPYMpXt8M6jmiCmDCBdaTHV3BAtHVzUsUgUqpGWaRASA3VgAHtg9vr8dZg8xB1VJcQYP3+SzVvqfbSR0FT/LVtM3gqNM2WQkidSMA9s98fDTv7pssJSQM2O2Tn4j102VQtg3QpYDGjuRkKCe+o6YVZaQ4brRa6UrTXCnCRiL2dpFwx/Hgg9sfQ/wAdZXOM3SkgS0WT/LZaJUBRURweo95D6gjH/Kf11ZN4OyE7ffotoalds4X9flq5ojVPknVC9nk7kqc/HRIjRAiNUkwP2yGB+OpkR1uQkGnfP4fy1A0pXMkwFXs7+uCTnUIKbLAlW9nYY7H5Z0IKj2DoreS3ftpiTCA7qxhYAAgHvnVGYapW0iRCbSxMASA2PkBnTkyLI7zstLr5bhRqDTPNFT9R6jMFzj+Y9DrFXLgOgVMGeqj/AH1fPFyeFGJX3XdAcOO59MYGO3x+uvOVwSJjT76rPU1IAv8Aeiw1tq5J6gSI8kUgjVZCrAFh8QM+np66Wi8lxJ/ZVadj9/VdGoaK6ys71YqmmPSyHzQytEfkwzn9NdTD0DqIn1VjiZkrp1kp1g/YGCqp1znpePIb6574/hrsYYHorCLLaBGyqWYD49tWPd0VrBuVjhVhixVOkAdu/r66rbVJunkGUaJi6dRUfu9dWEXgIt0ugzE9RXvjHrqsEg2UDSDP36pnLI2XGWBwcarLiAowXusTXNKWjHWAD2x/ro1CZmbKoHpumkNR+07ZGD6ZzjVYq5gltKfTv5lO0Rcr1np6gPno1HtiDqiTC4/ebWRUOsMlTK6g5JOAPn39AuuJXpRp9/fRUPpkGBqtEMzUFVCZFikiDAyKigHo6hkd/qFPf5fXWRlTK4T8fvsqKjQJBVXK4moV2dBEQf2cncYHf1A9c/XVT6xcJKsyiZWtvUZWNlkKrjIxjC/nqrxbyTZUOBygBZWhmikkPnt5XT+DucjPpj941ookCxsmZrIWxw1FQlLdpmqTDLCBIjKwZJjgYz8Ph2+PfWjNyZgfT6Ji4zJWdqaipqYjQK/tFRGyvI6kqIsjII+vfIH/AEdThmMTYWVpcctvvujx3D2OGDDPPHBKYnf4qT2QN27YBH7xqw1riDO3xSAFoknRZWrb2CuRJ6yKRZEMgY4VUK4zkD5jsPrnVheKb4n7/uUwpuJBO6PSbgjjM8cqqelxllbOcqCO3r8fz9dWUsWAOyI1gLKyX+2COaQzAKgy3UMZ+gz8dWHHgNJTubOiDNd446aGqjiZom9VJ7qPgTj56sqYiItKqAtKlrbuUrRJ5qT2qpMMkhKooB6e+MfqQdYBjl7SnWZBEFYq93i2XFPMjpKmlSIuRIUJbHqAxx6g/v04xYgrNUa1wkCIWT23uCxWM1R9iudQzBRnoOQe+c/oRouxYPlVuFDG+afkncN82Y90r7lNS3h2kZTEmO0a9I9QfXJBP7tQY0RIAS+FSzOmVUl52S1TWVAhuhd2QgFMYwMN+WT/AC07caJmEHUqM5pPyS4Lxx+9zklxcDEsGBG0ZOX6j3x6DsNO3HDpdOKFEvubLZ4d47JpgsEUtcnfABhwNT32dlo/laA/ROf7b7LAGaypDntgxEd9IMZuQpmpdUld67TZv2k0qJ8ynb8/XTjFEDRQmnMk3Tpt5bIUsHuMiDvgmP8Afoe+jQBIPD/qhX/tpsYKri69St6YjJz+miMWBoEWilE5kSDeGyZUMjXYRDJ7MProjGC0hT+UbhybVe7tkzpJTLdisnYf3RIPz9e3bTe+73hK/wAIWDgtRW47RS5BjcoEo1QuQgL5PbBCntnuf0GgMUJsqTTpz5ltkO+NhxslItyqBIRnvD6/X17aAx3b8leH0tnfRKHIPHHnR053DCKhvRSBn+f8NIOJsTkUv6k//thsfqEf3tICQWA9nfuBjP8AMasGNHT8kXeHeXfmsLfdx7YuFC1LQ35qSoMgZW8h8lVGcY+p7fTU97bPMPyVFVjS2GuglahvjeGzq2wpRQ7npYTKpWYLTyeY+OxRVx6nuO/YdyTqivjWubAn5ffxS1Aws8wH36Lk3Hdw2jbrdX2bdE1LbooJGWldFLMYXJkVgQMZUuVz8lXWbD1wxuR1/gsOHFMEgmP73TDddy2neLRd5orqk1zilf2aOnBViAwAZlIAMbKuex6gSO2mNZjxBF+6qxAplpv6R+3RbHxJSWW1xVW5dxXe20s5hEdJRSEhyAPVjjC9Xw+hydaKdRrBM8xQ4fQB/mPsPv77qQkE+xp7PTUNduWxM6qgneNygaUDLEHHzJ/frW7FUwObQdl2G0mlpEj5rkO5a7blqqVq6Gu2/faLq8qQMwLBScBhkHAXsPyJydZKuKaILVjxFFgMmHD4fBVRwWK7WFzFfKbbSKvdTdmjkK4I9yIEhsAnucDvgA9tJW8E+aPkb/lCvplzmSwkfEf3XP8Ac234/OSd95y1U00YnZGq4SyxkkeXIzDJyD6KAScnOufiBTuJv8f7z8SqzhqkXdPymP0+AWj0+06LbyyDdNTbFpZqUPE9vqqcSk+nQoIIDe8ASenGARkEYqaadIZXHNPr9/CFko4PKS88vy+/rZRP8SKUVRcLZXQ1lZUVcUs0IiqHLypAyo69Ryyj3i+Ok98nsANeU42QSMoP3t8Fj4i0RmmY+emsd/z7KKmFHmK5Bz+E/EflrzxO65TQCCQEaCrqIjJHTTSRiZfLkVWwHX5EfHVhLgJ6JC6SY31WRp3aWqgknpZLiqxMzRsOxQe78PUAsOw9fTV1EPJ0lDxBI6D7/wAqWnBtLW3uWVb0ldc62OJPIAdlCU64VveYdPuZChAQE7/H09XwWmSIcL9/v7Gi20OfzHTQdvl9OuqnBatqW63LbEtlBC9InuvT1WVjyACsyspHQ4Kg4VTnAb4En1ocJsAPv812KeCaACBP399Vs9LQNBb1SrrqWjjjVkRfbDKUPUTlwelMMT6jI+gzq1haACSPrb5/stTKOo/Mj7+qz0FkpmNBVy1EMEETEM5mAV2Y4zkHJ7BvXGSew+WzxWEg9EGYYwCQthmqrNCZKeKqhkZQucOAO/1zonFNKu8AAW1Q4KOkqJZT5qqpIAOfXsPQ/mdWiq2JGirNA5oCu9upBUpD7bSxyNnpTzB1EYzkDP0OlOIpki90jsIdAsgtk7AAg5Pr89O2o0XlHwSBdc/vu2fKnRqYlGVsAFAwwSM/pk6qeW2IKzVcOQZRLDYJj5UjIoJBbpI7sufxfro0y0KunQMytjnsUpAwMnOAP0zq7MD6rQKLokpC2ryFHmKVP+In4fnpXVAAkGHMrSdyXK3wUtZRwVlE9dhlMTPgr2x9PnrFWxrNAUtSmbxdccqLoj0VVNJG1TK8QiZgThSAMZ+A9Dj8/prIK26x1A0tghZGh3lZInlerpamlV4TT9IBcdI/CfX1yCT+erG42DIbH3omZl36brudtpzcKaCtiR/Z5UV0yO5BHy/hrqtJPMQtTAHbWWQa1EZPluvz7acOj1UdShNpbY6qXWNm+IGPXUcbaKeFNwhU1CZ06zH0kjOPiula6PVRtKRbdENrZCxKMqjuTjTZxElN4V7Jt7EhXzV6WTvkj00ucapBTjRDFArIGRcg9h29dAPE3TeHIkBYO6RCCLzo1DgNhgPX5Z1Q6pOiqq0iGk9E3uHnwULyRqnUPUjB6M/DUc87JXMgTC57uupd7bJb6lFhqB73WFwenGR9BrLi6kiHHRUuECIhcKvtXAtBMTIwiZQi9K/DuMnH5/rj4a4eLcYmFie4BYvY6UU5rY6mNC46QS/p0f8ACPgT8f00+BcMv39/NZBTBd92XbbZte2pFBNQ1T01RGWPQG6Uf5ggHsMYPbXZbRaIdELd4MCxW+WuipKfrla40jsTjCydsfLuSdbKeUWVzaZPwWUrFojAeiqpST2IEgzpqjwQrgzc/otKlenjMiGeLPcD5EEjv9PU6z5/msrzYxqs1SVFB5KgVUGST2BJyP3avD2q1lhr9UOR6RpURZusZ7kI3b+Gg1/NKgAN5WKrZYlmRULuXGMhW/01W4iYKre4DVNaxIOumJZgC46j5ben07flpKj9gnBEgLX4nAd5GD9JOfwnWcGLKi030Rq2qEdMDTF3lJAPu+h/X5aeo8uEBMYAkBajUQRvN5M7yVDhzIzEenxPyGe38dYS5oMnZV5XEQue1lLHV1JjRGkjOcg+729cdXrn8tc8sBEFVVGkrn1aBRPJA5cKMhVc9RUEdiMfmRrA8ahUOACeQ27ogR6kNHG69QY46WwM+vz+mtNRmXVI1hcL7pFNRSLHDM0bKje8pPx+A/TRbSIGUjuka0EDus9b6kxzC11kkCU8sweRmXGQADjI9PQA/l9dWsePK42ElWAGfW33+SyVjqfJepnjpZzA7mRTkABfQDJ9ewz8u+tNAmJIj+6uY0TIvP6Id6qaiOSqnoY1hDr0VAB/vxj4qPiPXOs9UmTsEa8i7QrrWRpbq1UEVZWSSIkc5kLNIpUEKM+hGTn9c6dz+TIwXJP36AKum4Xe4yQB/gfFYKKaWllMDhFAUgqT+FwME/n3H79Z85E/RKI++ycNdpKxko2CEIwYFEJZiB6H9f5ac1C4+ieZELJSXqeShSJXgiVlPf3ursc+vz05xDoElNnABDVucdbLAA0N2oIu/YCZu3/XfWQlh1P0K6rXubvb1To7guhEim/wMp7kee2CfXQmn1+n6K9uKq7n1ujw7jusYcpf6aHPw9oZc/w0XOpxr9EfeqomHfVWS+XBQCL/AEwbs3+8sD9D6aBLCNfoUjK1QA81/VOF3BdC7dO4YPTJIqz30/JP9irBVqkWd9R+6NFuG7hy8e4acOwCk+1kdvhpszIk/kU4xFWbHbqE5+/ryW8w7ggZwPhXn93rpQ+nP9ioK1YjzfUK73q7GML9/wALL1Yw1ZnH5ZOiHMiAl8WrHm+v91f73u7sQb/AQRjq9sz2/f8AloFzNZ+hQNWqfxR8f7oXtt0EhdL5GZOwJatHYfq2oHU4/wAoF1edfr/dOxeL1lT/AGgpSQuB/tgGPp+L6DUNWmDE/fyUFWuSId9/NWFZeQCJL9Svn/8Anl9P/i1Y19MwZ/NPNYGC76j904WurpQ3m3iFu5z/AOkVBz+/Vni0htr6o5qs+b6hAaS5ZZhd6EnHfNcpJX8gdQvp6gx80GseNT9UyqUuEx9+vtwLKPw1YywPzOdL4rSdZ+BSeG+J39VjnsFSrZNTah9PaUwf46drmTBd+f7KirhXnQfULO0ElZRYjeS11qgYHm12OkfIEMNTxGCwIj0VradQWIn4/wB1sEdwjdBJU0tliQdQBFeSQfmPf0hqDXMPktIY52rPr/dNkhoq+dZ6yagmpg2RFFcPLWbB7EhmJxnPx7/LVTnUyZLvp+iHhA3P5/un4NhlnDLb6CRY1KEi4qASSMYy3cDpPftq04qXSCPkrDh6cxlt6/eiyAi230tmht4Y/A3GP1/fqe97SPqj7rTJktPzCSg26Zik1BbkHwIuaen17/TROJncfI/sgaFM+ZpHxH7p9G20TlW9iQepBrgw/wDm0TiImD9P7K9uGpGx/wD7f3V3Ox3ZDI1Ew9QRKWGc+vY6Y4k6qe70C6+nqh1L7FCkkU1RKo6wqu3Vn889j+Z1W+uYkBWOw9DQmVrFTUbcedZ4qWnqJSuAH6gI++Ookn3vln4n6DWYVHF1lnfTojS/zWn3iLbMk0UoaWukUjy5FmB9nlPxXrOD2GD275/dU4g3ET9+qqc1h1n4XXEOUpFuu3qu1Udvt0LRE1RanjypEXmE9y5KN0soOOofDtnXK4k1zmkTIWKsGZMgEH4/S6iHJIxVOsIqA9OMd/z15wNXGgRH39+qIgBikdmjJXsO/r30oB0+/v8AylFEGZ2We2tfIbBdDXVFpobxB5MkJhqPRSw7Op79LKRkH8/z1oo1XNktRo1Ghwc8SPkp0cSjb1x29DcZa00VCpJo0mjUED1fqxnOX6vjgjGvWYBssDr+n5ffdd/BeE5sz9nVSGhu+2HgAEtqVGUdWO2f1+Hprp+8O0JXRY2jAiEj7w22hUNXULqcDp7Y/Ptoe8OmQSnNOlaYKyH35YQqqau3dA7qC/b92rPenExN0zWU8o0hMXve1pJc+fQtIyeqlvTPocarbiXpPDo6GJSIb/tVY38qqpkjjOcdTjB+Y/8ADTtxLxr+SIZSvf8ANFa97YkZap6mkDg9QZncEH5/z0rsWQ2ED4Rgk/VP4N0WieJXgukJQEqM1BUjHb0JB1DiXG6Zj6ZFj9UtrzbZHjleuhkbuATUk9j/AN7U97dEzdDwWG5P1/ulG5UJIYVqhunoBWrPp8h72g3GGdbKCk2JH5/3RVukSqojrZSAe3+1H19PnphjCN1BSAuT9UCoroqgAS19YASThatgO/66Hvc3N0SALAn5rX5LDtud2d43kkPxapJ1DiRGyxnBMJJJ+qsLBtxB0Is6r64FQe/6acY0AjROeHU41KT/AGb23gkwzE/WfOk98tsg7hlPWT81sdFVmhhiipblcI4EXCp55wB8hpvfiTCvbh8rcrSYRnudS8gc3W5dQx+GdgMY1BjDEqClJ1MlJe51DxNCbncGB7ZEhyPyOndjj1TimRYEpkJ2QuIq+4xhvXEnc4+GdRuNAsVUaDW7lGe5zGMxGvrCvzMhzojHk6QgaX/Ipl7RIUKrX1PT64J7A4+mp/EHE3CTwehKv7Sy9Q9ulVT6goGx+/RPEjoEPdrarGVTRnM71x6vn0j+WlbxIjVVOwYI1SkcOZmNapYucExL/DTt4q7QFRuBBOt1iblT+bHJNLVo5ABI8kfD0zjSP4kd1U7BdSuN7rp3eqiijlEtHNGxVgAAzAdRxj64/edYqmIzGTosNfDAHKNPspjtF5GppqaKoSB+s9Q6QfXHcn5diO3p+ur24nIICy4WmHT69F2ihlm9lREukYjyMq57dXz9e3r/AE1YeJtK6owsNsVlhV1ixp03AN0/hCSkd/39tWfxMba+qu91Kv7bXFmjaudU9e0xwTnv8f46J4iDdwQ92qA6plOjSv3rUfHqWc9xqe/jYJThCd0IRSovRFVRxjBH96cD8vlqw8RB2Q9yeBAP10+qGwqFRitREx+fnElvppRjmgQGqPwzv6kMx1HukFDntgynIH7tMMa2Lj6JXYSobbJm8U3SzMqOo74V/wAR/dpvfGnQXS+7VAYOiQfMDKPZl7j59h+fbUOMB2S+6OECEOSXoEoaJGA91gMH+n5emmdjxEAIOw7gZOoWFujx+R0ogT/i6Rkn8saz1sWCdCg6k5q0GrruppGngcOTkEeoOfTJ9NZBibWEkrI4RcrSrwlPVR07Rl/aVdo36u2Qe4z/AB1SxzMwOizVKQIWw3NOq1TFY0RGCIo7fT4Z7emratSRGifwIZI0WHq7pJDFBT08iiPoHUCo7H46Dq5J7Ks08oAWNnuElW0MczKjAgda/I9jn9CdK0ZvMdlXmBIXVrWtGtvgIVhmNS34e/7z+Q/TXS99aLLZSoENCKRCKoBIpSGiIYBc5GRj0OPidI/EsJPdO6kcwlantigpRLdkkaSSRJTDFhe6L8x9Tgfu0mHrMbTl2pWWjQBeR0VXii82tiUP0TmWA+aF6cAlhgr8T8fl/LS1arSdfuFKmHdtrb8/16LH26mpaaKD2uZY1kiMmcdzlz8cfIDTtfTA5tbff3qgKRH1/NImt1EK+np4axFo3Rn6s5MeMZGfrkfx0gNMuM6D7hJVoukAan7KxRupKksRn0AxrhNrkmVvLuqTHdV6sNj1Pb66YVDsmDhMlKW6HsQCwJ+B9ToOqO2SgCISxdQRj38fDA9Pz0PGOqBIGgRFuYHcFmPy07a51TEAx0RBdsqAY8H1+Wn8burC8dEsXIAk5Zjn0z20njlKDJtqjC54Vh5nxwAdBtS99U7SIVLdVLZ62UDPoe2nNbYpRrCL96BskN8/jjGh47tFHgCQrLcyWOGYHv8AH4fu0zqpSMjbVL+8+4PmfQaY1yPRORzKluhZinX3xnuP09dAVpOsJwbSri6lPdLqSPkNMa3QotN7q4ugGR5gA/I6Bryqh0KuLsrBT5gUn4kaBrEaJ3EEIn3ngL7ydJ750W1r6oF8RKX95MPQjOP+s6hxEmSpHNCItycjCuhPx7+nf66nj9EwCFDcpctI7Rgk9/pj56jaoF5SmfNCP96liSDH0fAjRFcgySrGKvvVveHcDPbv/I6tbW6pASJ7IgucmAACT6g57fv0DXlFzoMq63ORQAG6CfmdQ173UdmFgrNcH6ivUwAGPX1Oga0ptJHRAF2IIVTIX75wMtkaXxSFA+RZYm4XFe0gRDPnIU46i3r3+A/mc6qfiCfKUTGqxLFHC0hRyX60llZsk9R94En/ADE49NZtRGiRrTF7/cqK9xt0tDJVW+Yq1RTu8bEHIJUkfx15iqyCQViqUy0EbrCIzBJABgAd8nVRcAJKw0zYyntIplKhnWMMQCxGfX44+Or2NBIBFlax2kKZG0bzB9y0UFIfKpoEEKp04/CAOojv6+vc9s69fh8QHCNIXRoQGQ1bZ97KVJ6wAe4yNaRWOyuFQXS1uZIB6we+iK/RMwghKFy+HXH8wDompGqIcALqvvNCvZlx+fpovqKB0CdArC4gAqHXqHoc6DqpmyJuCBqqa4A9XvKV+p0xqj4oPM2hL9vBHwC5z2OMnVZq9EriJ0sqeu6my2B29T2xqxtW2UoF20IYrQMZCAfnpBXugIBslCt6mYjqBHyJGnc9twUWiST0ShcJUUKkjxpjAAY9tKXgm6jifRE+85B1KJpuwx6n+eiHjWEomUP2+THSZpcfLr7emoXCYKBdAuqS4SgqUlctjAOfT8tCWzdWeIbE3KprhO5JaplDZJyCf6aAINygXu+ISlulTEcLWVHf/nP+unzCJAQDyDqrtdas4X2uoA9cBsaSGnVWl5kd1YXOsHQBX1R/Jz/PTBrbiFW+q/cpQvFYo9yqk+Weo+v10sCUG1NwUQ7guTABKt0GO3/WdMQJmLKzx3RASfv64uAwqpAw+THJ+v10crSj4joMoE14rqmNo3qmAb45xqotaDBVZrOIsgLc66FWRKycLnOGlJwdTKxAF40KWbtWkEGsqe3c+/6nSmm3oi574sSmDSRzL0zNVOAxYKJMAN9O3b104aBdVuYCZJshRLSQt1rTOjeh/aHuNMXKvwWh03WQiq6VfWkZsdu8rY0CRrAVoyzcW9U5S9SR46YX6QMAec2P5/TQaLK3xpsnibpnUJmkiIHfvK3+uo2ofwwrBiNzt3TyPe9RHgm2Up/75ydMXPPLKIxwnyo39vajCYtsDfP3zpS5++6uOPt5fqlf29JDB7Wqr2wQ/rpvEfOt1PfxplSv7fxKc/dcvoQT1/DSGq+TpKs9+aNkob+hC5FBKO//ABaYvcdErce0GYQf7eRE/wC4OSfkx9P3aGdwGqqGObuEKPfcPSA1E4cfEOTnVbqryLRZRuMbNwgS75p5kZJKGZlPb3j66DXvgWCr9/aRAC16su9BUFituBUn0Mpwf66gc+ZtZU1HsI0+q1apjhqaqOoiSmpI1wfL98gkfPt+WmzScxMn0WF9NpIIsPitka8CSNIpBQrEo90BWOP3j+Gmc4m0rWasi4ED76Ko7lbR0CemtcuFwS0Hcn88as8Rw0NiqgGEgPATwVm3CQZKG0Kfn5f/AIagrO2VoZS2ATmC7WYe4RbadA3ulWPp88Y9fpqOxLtSforQWDQJ01zsknutUUDD5Z9f01WcRInf0THIbEW9VZqu19RKTW/p/wA+D/LTmsIglTKJkKhPaZFys9IT9HGmGISBrTohlrPIuBNRsfT8YzqOrkiUxoNPqm5obSclVpwD3H7Qajq3VUuwzIC4K1Y6pgkZPfJbBx9fl664MyTdYQ4zCuayGMN1OAwPxHYf+Gg2oMsFWUyDYokVUWieTz/3Edh9NTxRo5WC4JBRFqi3ZHZx6sAx/npfFAElLPLBRDXFGDuXMZyD64/MacPRYTN1b2spgmQL2B6cnH7z20wqSICa4vKKayQdIBdXb/myB/1/DSmpN1DVdaVda5znrl6D1EZB9fy1A4ItfaTa/wCiLFNIclZZnOPzHp8dQVAiGm8JYrC6NlvLbGfUHPcaHifRR1UESrmpdcEsc9+3SNTOEhqGQdv1VGpk8vIl6TnHYafN3Vuebj6Ia1cgMh6ijY7Er2P6/HSmp11TTcwngqpCiu58sn0HpnTZxoEQ2RJSRXBc5mBI7AAHTCFUDHmVNVsD+LJwMlWz+mhIFig87dFSVnV36kjb1PU2CR+WgHgRGqg6I61pynvg57DDd21BVumJhI9uI8wtIowcYI9NAOkQESTBhL9tLEYwwxn4d+389OXjdExp0VxVjDHA7jsCACP11PFt3SsymeiW9aqoC7RhM9znB0wrWEJhEJQqgCGwue2P+s6tfVtCaBPZXNR1HBdBnv3PppDURLZcIKG1cgR8OcfHv2H1P/hoiqRcCyhI6rG1FXLKUZZFIGB1qx6sfp+f66zVXSZ1ARbAICxMtY1OXZKhql1TI6VPu9/nk4yMjVBqRpsoCFlZqhnjgmDxKWQqMP8AQMD2/L11c+qCA5Fplt9Fx/eiIboKyL0qYUZ8f8QGCf4DXI4gBmBFrLHiHRcaFaEPx1EYCg9Of11jMBsrA03IGhWSsMqU9yt8shAjWeN/XGAGB9f01dhn5X8yjNYOikfRxJSy1FRAvls0pZwFA6gQMjA9SMnv+evQNLRzBdRrYWZ+8cdMjShYyezE4GrnVYGZxVjRJsrtcJA7qZmGO5B7dvnnUNVp1KIJ+CIax1CnzOsD6en0OrW1BdBw3nVKNxlySpGcfI40HVepSuMRCULg/RklXIPy7frpRV2CsdBHdJe4OQw6kJxjKnRzmRKVzwLHVWFeVYs7jpB7ZGc/lpBUaNEhOpN/v6q4r8krkfU+vf8A6Oia24UhX+8CuCsnVn5j+WnbiANSl3kK63LHbsGzk5bJ/LQFXronmPVLFylAGcsPT176BqoAFJNxJALAkY9M/HTGrsdVW514VxcD2/8AVqMZHfJ0W1RqpmBSjclOeoS5xgY/h31A8wU7iJhWFwQRkidyB64OdQ1BIaELE66K63MkfjbP0x3+ugKp0TskWSVuPvZVyzE/E/xOmFYyoDJ1S3uTlgEdh2740zqu6DySYGySbm6k5YkgEjt39NTPAlK597KvvHIHVL29D29dJ4k6pi6SkG5sMjJKd++n8UlVgqjdGGSJQRn5fPQdXtZMDElqD96Ov4u4yPjgjOo6pN0rDuifeZPvEhj8e49dBtXqjNsxSvvFj6MB82zqwVjPZDNJACt95SFeoDIHbOqnVT11RJvIVLcuoyYkAI+Xw0XVdEAdVRunfCMjH0zkaGe+qhqTok/ekmMsiFfzHbTsqX1Uz2iEQ3M9Ks3ujt3z/DQ8WZG6afokPdVUJ1FkGR+umdWvATNeI11VNcwAch37dsf/AH0grwiTNyg/eo6SxDj6AZxp2OBSZxKt96DHUeon8jnRc+8aqAndX+8wqlnjkXHr1aTOYVYd1VC5IAcrIRjv640XVWmxCgeNEM3aHuvUQ3r6E6UVb3TmoFb7ziJHvH5n3cabxIuVUQ0a6+ir7xh6Sxcfr20DUAEotcFYXKJgckkn5EaY15TlwSPvCAdmkUD6nAH0/PSmsZhVsFo6pLV8OceaCc4HfTeKD8FHEAhUa2FgAHBHpnOgaqaQYAQzWRAD9ooz8c6PiglKdOVWasQNkugOe3fOoKk3KUXKpamNgWEg/XtjTF4iEwLTdYLc97qLXYLrX0TolbFGDH1qCOrqHqPj2ydc3imNNOjmabyraLZcQQuf7a5Zpa2For9CKGVf/XR945PzXOQfyyNYsPx5pE1FW9toA+/8rXl3VdXbrBtT4yMdBB/P17a5bMWZku+iJJLrAFOId01ypgx2xhnOQzYP8dWtxZAIJv6ItEbfVEbdNWyswpLcyA/+0cZH7v66jsYS4wQUzSPKltvFVDdVLREZOeiqwSfzI0BjiZJ/VRzWhpAQv7Y1je+aC3NGB6CYnHz+Gi3iBOpH1+apc4R2RhvRSgc0YV8DqxOvb6dxkaZvELR1TtLTcBO494hUzUUlQkg7gpKrdQ+WO2PTRGOvpJRzp2N5wM/lNRVKIcAEuuVOOwxnTN4jBhWN7K77wp40kVKKqncdlHWg6hj/ADZHx+egccNtUpcItqEun3lQtGBNT10MmMt7gIU/IEHJ+WmbxC3Mqi5p8qdDd9rkfoQVajHoYSf3d9BuPbrCYubmEfqqj3fbnBlZK2Efh6TEWx+oP66I4gybi/wVromxhUd02snImqCuMAeQ37z207sbT+CLnwInTsntNuC2zx9cNUAowG6wV/mNOMcwDmMJqQzCQnMd4pC7t7dCwY4BV/UfAjOg3Fs+CbKSZKcG60nRkVtOp7gEsCfXVjcS2IzJC0i6ELxBC/XLVUYQL2HUCD/0dT3ll76JSxwMlXW/WuUyH2ulQ4Vg3UO4/IfDUGKbBcTZQDeEWnulLUM70k1NMmMAK+er9+oyu29wma7XcJx7TlehVDMO+VHYH6D9dWGpaQg+NAENayQ9JeIKD7w8xh1D8sd9AVCfKUc3UIy1jlmaOKUAAnv6N+enbUMyULRIGicotVJ5kfsNVLMo80oqlisYGSx7dlA75+vrp21IsVY1peYaJ/xf5C6EayMxECGqVO+QWx2+mRk6jy2ZSu5ohDWtpFcQ9cka/Nz2UfzOiXgiSo54HKCryVAYOGRekfhGB74+fr6/l6aqNaAYRMlYaqgWYJFUIkR6WyQxwG7YBx8vr9dISCYVkg6fJN6gyU1MfZ8NSrnqjBJ8rI/wk/4c9/ppXgNEN0VAlvoFq13jeutUdQEzPT4Oc/AnuPyGRrFUGZt1KrS5lrlaK6+XVMzqRkY+h1ne20BcwHnObdIXrSTp/Fg/Xt6aVpAv9+qRjXTddr2rdWrKAROJBVwnpft/eL8CPie3r9QddfD4gFsArpYd2ZsbhZzzVdZVeRH6sg5X3f5/I6vdUJsFpETI+wrPIBE0cpUJkqucnsBj/wAdDOIjdWNFjKcJKUjLq7pLgAEnPYaYOAEDdRxJuNk2F0aSrFOoV4wCGYMPcbHxHy/rqqjiTMDRCoGwJsU7FT0uUDyspXGcjA/PtrUauxSOmbnVCmrZYovM6/eGB7o9Bkd+/wAdU1K0OEFBjRkvqh1FzmCylkESAYV1YnqPr39Menp30j6hBmUbG6x1Pc5zJlWVo1OO7flnStrGLpbAQsytx6oy4UNIBggDPfJyNXU69uqDInRY6i3DBW1FRTL5mVXOCnSox6/6apo4oueRBuq87cuUlZb2o5GHywx6N2Gfz1pNSdETpHREkqFeMTOGV/wgHJHr/wBemh4gJ1UIDgZQmrFifywZVGACcn/r6abPugIiyulbh+lnb9c9j8tQEosdDrqz1PuoTLKg7nPr1DQzdUXkFDauiQ9PWDlcjJxkfT5/DQzjVKICuK9HAAdzJ8fd7H/r+mj4gn0TZhoAqNWvd/OP4u4PYD/w0wqCJQIBAjVUaiXrDK46O5yT2/8ADQ8aUA+STskrWMwXssjeg79+39dKahKIdEJIqpAMMwDdRGA3fRc8dUSIBlW9rcrjqAA7EdXY6HiiLJHCBfVWFWB0iSJ0dsjJGcj6dxp/FKjIGiS9ZMvZgqj1HqTj4fHSipO6UzEEXQ3rJH6fcLZx8xgfDvqeLdQmYslm4SYUdchQnKhRgaPikiDqmkxlCs9czKY/eI9B3OP36jnpXuJtskmumHTlSQe/ZfT+GdA1QDCVzuX+yu1e6Bi0pDE9lxoZ5TkkJJq6kd1kLIfkfT92mbUsg0uMz9/ZVva5ApKvNF8feHc/L6anjAamyYm1pSGrpSCwkkJz6ken7tMKsIg81yrpcXYMQXYk57jtn/Ttpc++6Vzp0ukJdHyGDF+5B+GPy0xePKAgXbuSfvIkL1jLkdvePvD56U1TMBAuGh/yqNycquSAxB90/P8Ar+eoaqBd2SGucrL2KqSckYxn56IrXSh03CQLhOyqRCjAd+oHAA/fotrSNVBpEJIuJI7LEQcnscn66Q1CTqoKgIkpP3iPdVgox2+ffTBwBKBIKubgAisYgPd9Wzkn/r+eg6tF0GOOWTr3SRXAsV8kBzqGvN/vZLImN0Nq4dHT5Z7nvgDA/TRNUbpnwBACAa1QQEQemSB3yfhn/wANMHlCQLBXSviV8Dr6sn4+v6aXxtiq26wPv9lY1/4pF8wH0z9f+u2la+2VWEgGZuubb+vcrpHYzEWjdVmeQN3HqPTXn+L4pzj4ewWqnAB7rjjRKxRo+ox5AwBnHw1zWkarJV8vKt/HsvvmRJIvX8z29ca05m7KxzHSbIgFNkiOT9pk5HYkjTU8uidrRMtRVWMsqGX0OPyz9NQ5SblFweG2CGaanJHSy+g7sRgd/lpXEQq3slpGpQwlOEXEkQGcD3sBj9PpoBzRqrKbTlkKno0byyKpFk/4RjB7fvzq7l2TeCQMyN7M+UYTOFXt2Ix+8jJ1XEIGiTdFVGUxiJ2j9cLjvoANm6gBGiMAUBVg34SeoHLHHw/PQc5okJzE2GiSqsYmAiLh1wrgElT8wMj+OqyQR0lVmR3Q2hyFcrU4HY9h3x8PX89PN7aqttMm+yCUU9LGjq2I7YOP550zpkFHLJvKA1YlOzdUbKVJGC6jP6Z0znXywo0luoQXucbZZup2Px8z07fLUc6bDRMKgF0WK6xgAeZJGSMtkjA9P36rGsqoVL3MSsnHVQzlZIah0XOAzOPd/jp3OGpstHoVRkdVk6KtHc9wAwHV+/VYItKrfJuCnCOFVuqoXHSOx6Tkfv05qA2CdjSArRyxYy9XF1/LABA0+YabpqeYyJ1Tvrkb0quoD0Ck5zoGHG11YQ6URKipSUMlbIkYC56pCM9vh31Gug+bqpTa4eieffNwQlluPfGCTMcDv2yDqzxMvlKtBcdYWQp943y3iu9hvkkTVED08wBB82NvxKc57H44x2Gm8TMNVfRxb6WZzTqIO9j6pjFuC4pLk1cEkZYYBwTj+WrDiN5WN74dpZOhf6vzYyKiIr691X3T9OwH5aIxDpGUq0gTYIMt/rFaZWemkRj268DpUfwz8fjo+8OJMFVuj7+/1QRuCrIUGelRk/EMj3hj49u+iKz7EHRBrgLQPmm4vlxMnUtXBI3SVCnsO49SR3+Oq2vdm7JMx1CHBcHhWriZIjE6FOkS9OAf0+mj4ux/VFsxG3qFjjCzLGsnlLIPQ9eQf4aqIWQYZWamPUx6whJx69l0sCEDhTmlPaSaoo5oqiKZSUXpIY5Vx8tWisWmQnZRc0gytoG5ocBxAoUYLAH/AK7atdjhedVsY1pv+6bNuynSSU+VUAnJBDeox6ev6anvfZK1zc0gpf8Aa+jXCrBWdPcEiQFh+mT+edOcX2TCqAZansG67QsQQPVKwPpglRj9e/z1Z72yIARkE66q6butsjtIaqZPeHu9Jwx+fYY+uiMa3RwSZwTrH36K1XuW3ytTiOryoYBwQQOnOT/IarfimuMgK1z7a6pUu5KWWBlFbSGToZgpViQfgASMaY4hsdFRUfa8IFNfKN6dcVUKOHz0tnuPqRqCuI5kGEZZBhZCC8Uy9nqIgvfARj/M/HU94YeXr2TgGdUWO608SoQV6+4Xpf8AF3+OrGYpsXStpG53+Cc/f9Fl2aqMbeignGP4emo7EsjKQnpUybn9EgXqjwS9wEKYwCW9R+746AxLALqvKZtaEX75gcCOO5qy5z7wA7f9fu07MQ3VNkfFt+32Uo3WAqPMqYHb8OM+v5k+vpp/HEwCjkM8wV1ucMKmRpYHkb0OV90Z+h9dQV2gwTZLlcDni/33RDdKfDAVUI+IzIBkY7ntqv3lkASrGsMSAkC50zrGPaqSM4OSSM/QatbiGySSl8O4yhDa7UpOHqo2wewUg/x0PeGbKOYYgpbXWkYgiVAe+QJAM/louxDYAJULTFldbkEYqgMrHuffB6fpk9vTOlNYTEhQOM6fqhe3HzAjlgSMkH5ad1W6Qg7orTSSIkohRkBA6gcFh+vxz8dQPGpKD9FTTsGPYKD3wp9B+elbUi5TBpAuEI1SMxIfpTGCSDn1+Pz07KohK61gqkaHu4lVWABLAYx+p9NK6o3qgWjrdZOGjr3szXclnoEqFpWYnJMhHUB+WCP3jSuxLM4YTc3A7dVuZgMQcO/FBvI0gE9C7T42/dYv2qSJmAzGpzhz8fn9P003iCAufUMEti90qSd/eBkBUnq9CT9M5zotc0BOCYkf3SpalyAI5I3PqThv/sNHNIsoTohNWKP2Jk6SV/F8WI+v5ajKhCBJBVzVgSDDJ5QH4SckfXRzblO8yLaKy1hcsyj3B2HVkFj+XbRDzvoplGaUJqzMnQoz09yDkYb45x8dAujRBxvEIa1MowMKoH0IwfX8/TVhdBgpWkmwCR7WikgmNpH74x2J/wCvloOdKSzbEXVnq4wGMvXE+cdPTj+Q1WbFVuaJkqzVIbrIDMgXPUwHy+ug5ycNBdCEapB1BVVWI74A6Qf+u+pmMomAIhUKnr90EEEHBA7Afp/XQzSZCRpBOXVIExYDsVU5PSAOnOOxOmNfcouY0kQrGfyiPNB6SfQ/AY9P3aQuOiQkC5H7obTKcFfd+YCnufh9PnpnPsgQBtZX9pIJYqqNjPu9v4HTNqHcq6ICG9RCOmQMQD3IIIznvqp1YbKuqGxITVrhB1hJGCsR8SOpv66XxWg5UuaSCBZAqrvbqQSNNVqpiIU4PUy/IY76pq42m0K4UQVzTclyhuFUtbGRJAy+WgwepwPU4/U+uuLiaoe8kfduq0RDfitXZw6AxsoYjJ/LI7Y+Z1S8GbaLK/SAsrJWU8jtA1T5kmM5bsB8f+vy1U2q6ZKte0Ax1RoZE95w8LEYAZR6n45Px+PbV7KqenTE2CqSrpkZhHNOJiMlVzjP+vf46rqVDuE2thZDhqYGYs0juWJ7sfT4fDQzuAiLLPktBRumFleJXZO+GAAIx8O37tWNxEAwrBSJBARVqY6dsvKZukdvcBI/M6IrmNFd4ZB7o4rQ0sTdQp5SQ3R09/17nRbVsbWCmUT0KybVMrASExTRehK4H659RpfGvCsczfohe0pIQ3s0brk5yQAPqdQ17iEhEnRJBXrAX2QgHPbHv9vmD8DpWvVdSmiS1kKuFiSEVB7lkfqGP1+GkbXM6p5/pF02jucHV5C+Q5UnK9IIP5/PVxxLgQTogNwfkjrXRRqzmmpIx1YH7IZ/TTjFuAVkAbaqoL5QsoMppoGZu48kP7vzyPQ6IrkmHJGlh2Hx+/qjx3u2M03VCAg9G6Bhh+WmpYtxbcpSKesIi1luqo3khoqc9xgOoJzoHEECWxdMWMNwElZaIMont8B9M4T0/XVXvDg66RtKnEZUGaS2hJGe3RqAO2Pho+9uBgCyIpU7mLIkNRaGTqa3osjA9I7Yz+unbidoTCjTva6MWty9LezqpJwe4GO3p20oxQiCETRbHIFYPbAzKY6ZjjJJPbTU8RIvuixgm2vqgtUW330SGjZx+FR8fy0WVjMqFjQCk+1WgBCsMLDOCVAHScfP5503jE+qVwaJDQqkrrfI7qtCvun8Rx736eup7xJ0TOczNDQiedbIwsjUxUjB+Jx8sDUdWtEWUhsSdFTXaCInoKupJIw7evzPbS+IbyPooXRfZWNzYkKz0jIThffYfDsM+mo2tHKPyQD7QY+aP5tWEZacIIyvf9qWAIHzzoir0Nk5D26K0cld0ESdBc4wFlOBo55sNkrXOvI+qdeZUeWvmxOpJySZQSR9PloCpluU/hOIiEjzEHSJIQEGe4mGCNQ19ZGqV1MyLXSh5LMP2LBMAAeaMnv21GVdJUcAdBZDNLBMCFo5sj4dXZfqProuefmkY0QYCIsETYxTVBJ7DvjPbRqVTEqBpO0q5hjWP3aKfOcdXb1+Pw03iHdHwBsEiKA4OKZinpl/X0+miax9PqgKciw+iuY/fOaYhMZzk6QVHaI+GJsEPpnDu7QSCMLnJUALol5+aDg6Yj6JyuVPvRu6DvkBSD3/APvpfFhF7SdQkxTo3ZVAJ7gEj1/TTOxCDDFgLJ1HI7J1MMOCQFII/X0xpPEvqiwEROip552DMyJ2z2KjH8vlp21nDUokuva3wS0q5epVjSFO47MAP17j19dF1czqgDJkN/JIatqXIjkRHZexAw3SM/DtphUcBrdB7jm0+/REFbInmMKdS3p2ZcE/D10BXJIEpswuYVfebszItPgKe4yO5x/130HVyoHQ6C1HarMaU5R4Jw6EsqnLRd8AHt+vbOrDVIIv9/FQOIERZCeplKgiKoUFs5BXI/eNVvrxyouNoAgICzurszGtYEd+txgH6DAxoGrN0suLocEtq5elCpU5+PUNP4siAo5xgEIPtUOemWKMygYHvD+Glz8sIyAZISS4AGDSqq/iXv3/AI6jqhlRxIIAKGKsEqsdTTwAjIHXkkfDB/poF5AkpHTYj81ZKpm8zNX1kD16hhfz0prEaoNLiSJunKzIwZHkduoZ7HsfT66njAG2itY4kXlNpKqdGCwGB0IwC8n9NTxJB/ZVl2yH7fMB1NJTwqceshIP8NAOGhS5nDm0SZa+coyCqTp9WPmHAI9O2f46UOAEnX7+4ROJqRkBt6/om5mqWfIuQ8vsSMEDTlwgEyqgXk3KOkyh8x1dSrMfeIncZ03ikAACyJIm5VJUiMkR11RF8cGY+o/M6niggQmMzIKcSV0wZiLlNkjuxl7nH09Pj66BrGPVCqXH0SHrKjpVIrhNLF2PvSd8j07j+WmFQ5YOisdnDZVCvuMIZEmbHqcuTg/l30adUjRKWkkgoslyup6WjqlVz+HJLEfl27HVrsU4GxlNDjzR6Ski53pgh9qp8Z9Xzn9SRpjXcIvHwU8N3RIF6vBkLBqeT4EL2U/p/wBfDVXvTyTJVLpBnLurter10khaSM+oIA7HSuxFQCJSlpB0Q4Lte6UK0hiqQGLDze/fHw/00aWIcND+qDS4aj7+9k6N/uqAYW3Kx931OT/H1+umGOfAko5TGiGl/uCdAFHRMAe58wnq/ec6Pvr5kEIMEWj6/qjJf6jo/a0CMufVHGSPoD8NX++ODgCFCw7BLe/r1OzULgjvjrB/L8tK3HOgff6JCIP39Fb+0kChEjp5x/jOR1dz9Qe2rKmNgXCVsgxKptxxIoZ45mJOO5AJ+Pz0j8dGyvYHESFgpt3xtKBFTTiDpIZmIBB+BA+P5azux5JtZIAZAAn9lp09dU1ldHULI7sF7Mzehz+LXPbmiTqrTUl4aNEgor1Lu0rPIx6pX9c9+5Hwz/rphUOWYslvmsUeumado1VFWPpACA4AUen5/wDR1CDJJV1WpaAsXMy+8QwjUdgioc5/PQOknZZqzidNPmryW/CjLSuMHKlT20obKIo7Kxop16GiYoB3GBkfLQbRtY/f6p203bfqjo0+GVgMkYY9OMnOf36V8zmIVjQd/olLJP0N+xkbq7dwB/LvpC0DRVNdYn90OHrKNGywg59SD73+umDSJI2UZpYJ7CXeIklCQe2M5H1+utAZlN1ewXVLI594Rq4z7xHbtn6fHVBYRZAZinaTskjhIoWBHYZ9P+vlotYTLldltpZNJnmqZRTo4giP4unI7/njQfTET0VF5hXFKsatCKhlJb06znOg2BaElWmRN7+qs4YtC5rWjYj3VcHH5d/hoODZsFWcx+H380ZIZ+y9ZZT2wqj3f1GtFitIZclIEbsroyzEkZICdQP6/AaGToo4bH7+/sq6RdMRVFcYAJyR6/LOPr/DQcALpWjlkCDZJEayMiydRJ7v73YflgY0WkFs6IFsJ4IKdsyxMY2H4W7gY+Pb1I0C0XEKFjZt96p6AOhMTM7du3UQTn9M6Tw7yES20f2VkM0CDpjAABAAb+mgAJhEHKd1U007KnmiJm6veDN6DPx0zWaEImoDqgS0ntccJkmZEDYwrZz2/jomBPdWGkfRFpsYUpUq6KMEuFbq+GD8vjoUw0gQq2tA0SXfymkD1EasxK4b1P6AemmDwWwLhWTrKtApToj84sAwwrx4Bz8ifz1Cw6oeHr2TpFVSzPNCqA9wCM5z8e319dMQM06myc07iEeIUkrSipnqpqft0CKVVOfmcggj+Oo1o1Iv8bJntmxKZKIQwVJnAH4ABnP6fnoCnPmSAbJTQLEgkYiVi2CCPT8hp3DREUGxI1RAsBifqLOpGezEDP8ADQDoMBI2mG2/VXp4/wAEqVEiKi4GXJ6R8c98aj9ZAVjGxYJwXjjifNWGRc9i+f1GhsCrA0i86K4iMhilhfzM+8MLkEfHTiRbSFU6mDcf5S81URcCjeaMHPV7qj69gMnQzECSdeqaQBpCGlbUdTxGJoeoe7gdh+QxoAOkkFQ1mi0QCni1lUzYDsyEjKlcenw08ZocEA+TISnnqGUIjRhur/AQSv56AJ23+7Jg46Qm2KqEuOurjQ9RZiw6h+XrqNYSOZSo4jS0pXVLIhImqJIv8QLnIH7v5aam0RCDTImVTxkmSEicp2wrMcN9CP8AXSEaHZB2m6L5IMEcMcghTB/ZghVUevfvp3SD3Q8MFsbLHJTUqS5Z0THY9x7vb17d9KDLZIsqW0G6HqjyVMcYDRV8jkZJAOQo+AzqrxDOWEzGXgFEF7WFlE80T59Rg4B+f89M0EnKArGuymSnCVtK7LIrSrLj4MT2/Mj8tMXQYKUNBMkojyReWzSTtGoxgeZ6/qdLmkxr99EHUgdd02jw8yoBO3oc9WOn65zq4XCBYCAESeI9IZjOp6uwY5wfpjtpCCD2TGmJF0TzH8rMkaEAerDv+v8ADRL7iblQNGVNWrI0JABQkEH9mcIMfLRgCCbIANmxSFeUskUSyOpOcmL3R8cahfukY0k5QkzTimMcvtLRSMewAxn6YIxpRBaAEr6ZF56fd0RKsuSq1L5QZYugAb/LqxzhGYiAnY0E3P5ontClRL1SoqkDBT8YPxGqyZFt0wY3YqxnWQoYqkdfUQVMOMjVgqblHKCBlQZESeN3EqSAd8eWQW+nrql5uVU9gg5UAwBMd5CpPr0sfh8840C+bD9EgokapMMZbqdKmMMoGV984+vf0OmLhqUrqZKS7U8MiGWpV5G7EOhP65OjTqNBgJzSIvqgVMKq69AlYsVDdK5B+Py9NKXy66StR26/FOI2JU5jhjH+EtGTkZ/++mDgbn9FDTAum1REzz9EbVBRD7xRQFUD5fPUZbmKL6QiCkgSsCYytSevPS/ugfE/rpQSAICDaAmxS1pWmyZVpYQuD70ncD9P66fMI5lW2g4mG6IfkMUJjMZjwOnpPfVmYTZaTR5eybPJUwydCxMhzjOcd/z0hc6dEpZsLd06zOoEirKH7AYIDY0c3LcJS0i4KE8lYQXVpn6T6lj7p/19NOJ6JgCYk/f6pa11YARHHVzgdsJ8T9Sew/LVDg6dPv73QgxBTb70rkVvMp5VfPyPY/LUeCke8kEFGM88sYkIdAT3Bdl6c/z1YIlQtLhE/VXqqqFXLeyzw9OOktIz9Qx3/P4/LVTiY0CD6YBubpmtWEkB9m6ox6guTjP5fTTBpBkWMeqJc2TEwrrcUjfLhQx9GUsQo+g0zZN2qQyZmE2lr5Jw0YqPZ1ByP+Jvl2Hw/wBdLlIuVWHAiJTlLlUdwGlkf06urscD4jSlhjKAnAAN1j3ZpQgmqKmQA5xg4H+n6aBpybDVQAlouhoIlAUdXyP/AF8NHKZQewC0q6Zl6goKKO3bPc6LafySNj8KdQBkRo2KuWA6cn0OfXQLZ2RptcDlN/7pC0k7q7KiyyjJwR6HHz+OrKnRXeE75JtPSVzAHysnPUTnGe3qdUvablVVKRLOpQxcZ0GJqZmmIz7wx2/4jqoMIuRAVucEkEXTyKpjIUSRU6dRz14yB+n+mmYXExrZWwNwkS1fQ0hjUmIfEHGPyGo5pJ7ousZGiua+kChV86OQ9+ojuDoCne/qqi9kSUwWqpyR5kr+XjJ7HI0cpAmElPLNjKdLNE5LSVQjjyAOkEZHyzpgSTBErU2C7VOhPTRHpEnWB72e47/mP10csnRIco0SFkWSRY0LrHnPce6Tj56RogkKNLTBB3V1boqkhSnYDuvWcjP6/HTXMiPv0S5uaEaaTo8uDqK5bu3T+L9RqoERCrcIsfvqiRrG/XPF0PgEAkFjn/TVjoFmhFtIZkiOSTCMkrLk9wBgfvGnFOSLWVzWt2N1T1E4h6FmjXqOApGD+uqxYqXDYKvDFNIW84SySgZXp90AH4404F4F/u32FKTbXRZSYQCIqgxg57N2z+f00oeJj7+ylNLVJyHZHSGXzWJUdzk/E57+mmDTOkIVGtj6Jy3UhHT0u57FlQnv8s50oEXnRO9g6fmmQeaaVpZixhK9RC47H5HHz0AANdlU1hI6J6yyFBMKiGEd1GTgD6kflqeIIsrRS3H33V0hZ4RVGd6hFJ6RgJk/NQe/66gZrCjqZFyZCaLUBR1RUykggt1DGB9dM0v2sEGRqEuSSKTpVJIY5Bg4LaamQXadVYGj0ThV6gTL+0XqPb/iP+mmdb1UewFyEIpkbtFTgMM9u7Hv3Omc/mCjmgOBI1RXkqJpVj6YEjYd1I9fr6aUgNv0TVB+FquHqYmBQIob1IYHA1MxiAiKZ2RRUy9AjiMCkepUAlfy0WuAUAMc26N55QH2yCOpkIwfy1AeijWgeb7+/qrt5LRSgLDTH1OAMkfl6EaBf+LVWMpyDlsgNUwNEkipArKMZAGGI+mg6QAR97KttISkxXSGoljBimjkAKplMYz8z9dAzeR8UoqNJsjPVTqAViiAz+Hv1dv6ajXG0o5yBGwVzJVnNYZgsSnPUo7Z9MeugCNIugCScw0QzJV1EjSJIzMABgR59f66lQiJGisuNUSNKhWMTSTL2Jz0HKn4flq0AOExCRrCNVdGrQAklRJLJnHmMO2PX9RoOcBDtkZI1MlEhqp1n6llhnPQRlR8Pl8tEuluYKOGX1KvUVk/SQsqKVBJQDv+oOi65lGuYEK00lwNPHMjUwj6cnCfuAz/APfS+pVbwcokJYH7MZTOO/Y4BOjrZBzLAHVM5iZHHdEYgjLjOfj2x8NI0QR0++qRw5pi4R/aIhExSIyn1U9eM/Xvpi689VGtEGyJEIZ27PMoV/RvRfy+emLbghOACbI8tNGV8sSkN+I5HT7v1/hoNIzSE1YGYKS8ApjLIlZNEwHSxck5/L4AaNODcd1DTmBKMI0YovmU5Ocgtlst/rpSLSJULCYhWdQpdqiTpPbrwxKk/l8vy0zSDBiUAw6u3STMxEk0ckI6BnJjZs9vQD46QmddP7oFgjVNp/aZ0RGqJynTjqUdIQD65znUJk6IZZIbNkOI+VHEorUIDZDthj+WjDYtZKWEW19UJqoJN0GrkkGCSTGB1fke+mLhlgBETMJSNHM3uO8zjLt5nrj5A/6fLQgbdkDSaTOu6BVwVKSRESCKNmIEi5yMn6Z9NQA6k26I1GkaJVTS1VQIEjnKxrnse3V+eq8sSXKstdEBNlhlpzFClezkMCy4IVT+ei1jSC4C6LGuBAJVjT1TdTB1MZYqMev1OSe2hlEEpyBcO1VewmVvOURyOSFVu/UT9NFjQDF+6qNM5pKyEFAUjRpJZoh+HIfOP640agAcQRqnDI1smwpp6ch4GR0Ukgl8BTn8tKGtgA2SgCbSUta+OOQwl5ugA9TRnK9X56jKh1ama6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\ No newline at end of file +<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info><genre>unrecognised</genre></title-info><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><section><p>This example test if Pandoc correctly embeds images into FictionBook.</p><p>Small inline image: <image l:href="#image1" l:type="inlineImageType" alt="alt text a small PNG image" />.</p><p>Paragraph image:</p><image l:href="#image2" l:type="imageType" alt="alt text of a big JPEG image" title="image title text" /><p>alt text of a big missing image</p><p>A missing image inline: alt text of missing image.</p></section></body><binary id="image2" 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xLQGcWq0NUp/Ur52K+Vc3ohrrFrs8PzhlJgBiKt7MYoxVKIpiIRudtdc9QSxheTPnHIAYCaNzTlXNzKg+YWRQpgKQRjGIB8Pyb0BJnv1ikFoYOwBEBKAEqFQlaRalFtqkc440n3IZrNp7Z4LExMpgy4SAVBaFVp9zhBCIaBQnDqhPSQgKIAJPksal+AG8ogpRnQCIUVRFoSEE9QIaLNCpqiPFQUK0/wPxadi/ncvxsAAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAxMS0wMi0yOFQwMjo1NTowMiswMTowMGbLlncAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMTEtMDItMjhUMDI6NTU6MDIrMDE6MDAXli7LAAAAEXRFWHRqcGVnOmNvbG9yc3BhY2UAMix1VZ8AAAAgdEVYdGpwZWc6c2FtcGxpbmctZmFjdG9yADF4MSwxeDEsMXgx6ZX8cAAAAABJRU5ErkJggg==</binary></FictionBook> diff --git a/test/fb2/math.fb2 b/test/fb2/math.fb2 index 5a69556c1..0f9e11319 100644 --- a/test/fb2/math.fb2 +++ b/test/fb2/math.fb2 @@ -1,2 +1,2 @@ <?xml version="1.0" encoding="UTF-8"?> -<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info /><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><annotation><p></p></annotation><section><p>List math:</p><p>• <code>E = m c^2</code></p><p>• <code>A = \pi r^2</code></p><p>Inline math: <code>x=\frac{-b \pm \sqrt {b^2-4ac}}{2a}</code>.</p><p>Display math:</p><code>\int_a^b \! f(x)\,dx = F(b) - F(a).</code></section></body></FictionBook>
\ No newline at end of file +<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info><genre>unrecognised</genre></title-info><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><section><p>List math:</p><p>• <code>E = m c^2</code></p><p>• <code>A = \pi r^2</code></p><p>Inline math: <code>x=\frac{-b \pm \sqrt {b^2-4ac}}{2a}</code>.</p><p>Display math:</p><code>\int_a^b \! f(x)\,dx = F(b) - F(a).</code></section></body></FictionBook> diff --git a/test/fb2/titles.fb2 b/test/fb2/titles.fb2 index 0a3b1404e..49a741b57 100644 --- a/test/fb2/titles.fb2 +++ b/test/fb2/titles.fb2 @@ -1,3 +1,3 @@ <?xml version="1.0" encoding="UTF-8"?> -<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info /><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><annotation><p></p></annotation><section><title><p>Simple title</p></title><p>This example tests if Pandoc doesn’t insert forbidden elements in FictionBook titles.</p></section><section><title><p>Emphasized Strong Title</p></title></section></body></FictionBook> +<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info><genre>unrecognised</genre></title-info><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><section><title><p>Simple title</p></title><p>This example tests if Pandoc doesn’t insert forbidden elements in FictionBook titles.</p></section><section><title><p>Emphasized Strong Title</p></title></section></body></FictionBook> diff --git a/test/lhs-test.html b/test/lhs-test.html index 28cfdf7a4..a921c6a56 100644 --- a/test/lhs-test.html +++ b/test/lhs-test.html @@ -72,9 +72,9 @@ code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Infor <h1 id="lhs-test">lhs test</h1> <p><code>unsplit</code> is an arrow that takes a pair of values and combines them to return a single value:</p> -<pre class="sourceCode literate haskell"><code class="sourceCode haskell"><div class="sourceLine" id="1" href="#1" data-line-number="1"><span class="ot">unsplit ::</span> (<span class="dt">Arrow</span> a) <span class="ot">=></span> (b <span class="ot">-></span> c <span class="ot">-></span> d) <span class="ot">-></span> a (b, c) d</div> -<div class="sourceLine" id="2" href="#2" data-line-number="2">unsplit <span class="fu">=</span> arr <span class="fu">.</span> uncurry</div> -<div class="sourceLine" id="3" href="#3" data-line-number="3"> <span class="co">-- arr (\op (x,y) -> x `op` y)</span></div></code></pre> +<pre class="sourceCode literate haskell" id="cb1"><code class="sourceCode haskell"><div class="sourceLine" id="cb1-1" data-line-number="cb1-1"><span class="ot">unsplit ::</span> (<span class="dt">Arrow</span> a) <span class="ot">=></span> (b <span class="ot">-></span> c <span class="ot">-></span> d) <span class="ot">-></span> a (b, c) d</div> +<div class="sourceLine" id="cb1-2" data-line-number="cb1-2">unsplit <span class="fu">=</span> arr <span class="fu">.</span> uncurry</div> +<div class="sourceLine" id="cb1-3" data-line-number="cb1-3"> <span class="co">-- arr (\op (x,y) -> x `op` y)</span></div></code></pre> <p><code>(***)</code> combines two arrows into a new arrow by running the two arrows on a pair of values (one arrow on the first item of the pair and one arrow on the second item of the pair).</p> diff --git a/test/lhs-test.html+lhs b/test/lhs-test.html+lhs index f7a8302a4..8d27e6a58 100644 --- a/test/lhs-test.html+lhs +++ b/test/lhs-test.html+lhs @@ -72,9 +72,9 @@ code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Infor <h1 id="lhs-test">lhs test</h1> <p><code>unsplit</code> is an arrow that takes a pair of values and combines them to return a single value:</p> -<pre class="sourceCode literate literatehaskell"><code class="sourceCode literatehaskell"><div class="sourceLine" id="1" href="#1" data-line-number="1"><span class="ot">> unsplit ::</span> (<span class="dt">Arrow</span> a) <span class="ot">=></span> (b <span class="ot">-></span> c <span class="ot">-></span> d) <span class="ot">-></span> a (b, c) d</div> -<div class="sourceLine" id="2" href="#2" data-line-number="2"><span class="ot">></span> unsplit <span class="fu">=</span> arr <span class="fu">.</span> uncurry</div> -<div class="sourceLine" id="3" href="#3" data-line-number="3"><span class="ot">></span> <span class="co">-- arr (\op (x,y) -> x `op` y)</span></div></code></pre> +<pre class="sourceCode literate literatehaskell" id="cb1"><code class="sourceCode literatehaskell"><div class="sourceLine" id="cb1-1" data-line-number="cb1-1"><span class="ot">> unsplit ::</span> (<span class="dt">Arrow</span> a) <span class="ot">=></span> (b <span class="ot">-></span> c <span class="ot">-></span> d) <span class="ot">-></span> a (b, c) d</div> +<div class="sourceLine" id="cb1-2" data-line-number="cb1-2"><span class="ot">></span> unsplit <span class="fu">=</span> arr <span class="fu">.</span> uncurry</div> +<div class="sourceLine" id="cb1-3" data-line-number="cb1-3"><span class="ot">></span> <span class="co">-- arr (\op (x,y) -> x `op` y)</span></div></code></pre> <p><code>(***)</code> combines two arrows into a new arrow by running the two arrows on a pair of values (one arrow on the first item of the pair and one arrow on the second item of the pair).</p> diff --git a/test/s5-basic.html b/test/s5-basic.html index f3ca9bbf8..bace22ebd 100644 --- a/test/s5-basic.html +++ b/test/s5-basic.html @@ -38,7 +38,7 @@ </div> </div> <div class="presentation"> -<div class="titleslide slide"> +<div class="title-slide slide"> <h1 class="title">My S5 Document</h1> <h3 class="author">Sam Smith<br/>Jen Jones</h3> <h4 class="date">July 15, 2006</h4> diff --git a/test/s5-fancy.html b/test/s5-fancy.html index 3031cf071..386ae6dbd 100644 --- a/test/s5-fancy.html +++ b/test/s5-fancy.html @@ -239,7 +239,7 @@ </div> </div> <div class="presentation"> -<div class="titleslide slide"> +<div class="title-slide slide"> <h1 class="title">My S5 Document</h1> <h3 class="author">Sam Smith<br/>Jen Jones</h3> <h4 class="date">July 15, 2006</h4> diff --git a/test/tables.fb2 b/test/tables.fb2 index df285888e..56ed5316b 100644 --- a/test/tables.fb2 +++ b/test/tables.fb2 @@ -1,3 +1,3 @@ <?xml version="1.0" encoding="UTF-8"?> -<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info /><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><annotation><p></p></annotation><section><p>Simple table with caption:</p><table><tr><th align="right">Right</th><th align="left">Left</th><th align="center">Center</th><th align="left">Default</th></tr><tr><td align="right">12</td><td align="left">12</td><td align="center">12</td><td align="left">12</td></tr><tr><td align="right">123</td><td align="left">123</td><td align="center">123</td><td align="left">123</td></tr><tr><td align="right">1</td><td align="left">1</td><td align="center">1</td><td align="left">1</td></tr></table><p><emphasis>Demonstration of simple table syntax.</emphasis></p><p>Simple table without caption:</p><table><tr><th align="right">Right</th><th align="left">Left</th><th align="center">Center</th><th align="left">Default</th></tr><tr><td align="right">12</td><td align="left">12</td><td align="center">12</td><td align="left">12</td></tr><tr><td align="right">123</td><td align="left">123</td><td align="center">123</td><td align="left">123</td></tr><tr><td align="right">1</td><td align="left">1</td><td align="center">1</td><td align="left">1</td></tr></table><p><emphasis /></p><p>Simple table indented two spaces:</p><table><tr><th align="right">Right</th><th align="left">Left</th><th align="center">Center</th><th align="left">Default</th></tr><tr><td align="right">12</td><td align="left">12</td><td align="center">12</td><td align="left">12</td></tr><tr><td align="right">123</td><td align="left">123</td><td align="center">123</td><td align="left">123</td></tr><tr><td align="right">1</td><td align="left">1</td><td align="center">1</td><td align="left">1</td></tr></table><p><emphasis>Demonstration of simple table syntax.</emphasis></p><p>Multiline table with caption:</p><table><tr><th align="center">Centered Header</th><th align="left">Left Aligned</th><th align="right">Right Aligned</th><th align="left">Default aligned</th></tr><tr><td align="center">First</td><td align="left">row</td><td align="right">12.0</td><td align="left">Example of a row that spans multiple lines.</td></tr><tr><td align="center">Second</td><td align="left">row</td><td align="right">5.0</td><td align="left">Here’s another one. Note the blank line between rows.</td></tr></table><p><emphasis>Here’s the caption. It may span multiple lines.</emphasis></p><p>Multiline table without caption:</p><table><tr><th align="center">Centered Header</th><th align="left">Left Aligned</th><th align="right">Right Aligned</th><th align="left">Default aligned</th></tr><tr><td align="center">First</td><td align="left">row</td><td align="right">12.0</td><td align="left">Example of a row that spans multiple lines.</td></tr><tr><td align="center">Second</td><td align="left">row</td><td align="right">5.0</td><td align="left">Here’s another one. Note the blank line between rows.</td></tr></table><p><emphasis /></p><p>Table without column headers:</p><table><tr><th align="right" /><th align="left" /><th align="center" /><th align="right" /></tr><tr><td align="right">12</td><td align="left">12</td><td align="center">12</td><td align="right">12</td></tr><tr><td align="right">123</td><td align="left">123</td><td align="center">123</td><td align="right">123</td></tr><tr><td align="right">1</td><td align="left">1</td><td align="center">1</td><td align="right">1</td></tr></table><p><emphasis /></p><p>Multiline table without column headers:</p><table><tr><th align="center" /><th align="left" /><th align="right" /><th align="left" /></tr><tr><td align="center">First</td><td align="left">row</td><td align="right">12.0</td><td align="left">Example of a row that spans multiple lines.</td></tr><tr><td align="center">Second</td><td align="left">row</td><td align="right">5.0</td><td align="left">Here’s another one. Note the blank line between rows.</td></tr></table><p><emphasis /></p></section></body></FictionBook> +<FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"><description><title-info><genre>unrecognised</genre></title-info><document-info><program-used>pandoc</program-used></document-info></description><body><title><p /></title><section><p>Simple table with caption:</p><table><tr><th align="right">Right</th><th align="left">Left</th><th align="center">Center</th><th align="left">Default</th></tr><tr><td align="right">12</td><td align="left">12</td><td align="center">12</td><td align="left">12</td></tr><tr><td align="right">123</td><td align="left">123</td><td align="center">123</td><td align="left">123</td></tr><tr><td align="right">1</td><td align="left">1</td><td align="center">1</td><td align="left">1</td></tr></table><p><emphasis>Demonstration of simple table syntax.</emphasis></p><p>Simple table without caption:</p><table><tr><th align="right">Right</th><th align="left">Left</th><th align="center">Center</th><th align="left">Default</th></tr><tr><td align="right">12</td><td align="left">12</td><td align="center">12</td><td align="left">12</td></tr><tr><td align="right">123</td><td align="left">123</td><td align="center">123</td><td align="left">123</td></tr><tr><td align="right">1</td><td align="left">1</td><td align="center">1</td><td align="left">1</td></tr></table><p><emphasis /></p><p>Simple table indented two spaces:</p><table><tr><th align="right">Right</th><th align="left">Left</th><th align="center">Center</th><th align="left">Default</th></tr><tr><td align="right">12</td><td align="left">12</td><td align="center">12</td><td align="left">12</td></tr><tr><td align="right">123</td><td align="left">123</td><td align="center">123</td><td align="left">123</td></tr><tr><td align="right">1</td><td align="left">1</td><td align="center">1</td><td align="left">1</td></tr></table><p><emphasis>Demonstration of simple table syntax.</emphasis></p><p>Multiline table with caption:</p><table><tr><th align="center">Centered Header</th><th align="left">Left Aligned</th><th align="right">Right Aligned</th><th align="left">Default aligned</th></tr><tr><td align="center">First</td><td align="left">row</td><td align="right">12.0</td><td align="left">Example of a row that spans multiple lines.</td></tr><tr><td align="center">Second</td><td align="left">row</td><td align="right">5.0</td><td align="left">Here’s another one. Note the blank line between rows.</td></tr></table><p><emphasis>Here’s the caption. It may span multiple lines.</emphasis></p><p>Multiline table without caption:</p><table><tr><th align="center">Centered Header</th><th align="left">Left Aligned</th><th align="right">Right Aligned</th><th align="left">Default aligned</th></tr><tr><td align="center">First</td><td align="left">row</td><td align="right">12.0</td><td align="left">Example of a row that spans multiple lines.</td></tr><tr><td align="center">Second</td><td align="left">row</td><td align="right">5.0</td><td align="left">Here’s another one. Note the blank line between rows.</td></tr></table><p><emphasis /></p><p>Table without column headers:</p><table><tr><th align="right" /><th align="left" /><th align="center" /><th align="right" /></tr><tr><td align="right">12</td><td align="left">12</td><td align="center">12</td><td align="right">12</td></tr><tr><td align="right">123</td><td align="left">123</td><td align="center">123</td><td align="right">123</td></tr><tr><td align="right">1</td><td align="left">1</td><td align="center">1</td><td align="right">1</td></tr></table><p><emphasis /></p><p>Multiline table without column headers:</p><table><tr><th align="center" /><th align="left" /><th align="right" /><th align="left" /></tr><tr><td align="center">First</td><td align="left">row</td><td align="right">12.0</td><td align="left">Example of a row that spans multiple lines.</td></tr><tr><td align="center">Second</td><td align="left">row</td><td align="right">5.0</td><td align="left">Here’s another one. Note the blank line between rows.</td></tr></table><p><emphasis /></p></section></body></FictionBook> diff --git a/test/test-pandoc.hs b/test/test-pandoc.hs index 358354e42..e1ce1bc70 100644 --- a/test/test-pandoc.hs +++ b/test/test-pandoc.hs @@ -23,6 +23,7 @@ import qualified Tests.Writers.AsciiDoc import qualified Tests.Writers.ConTeXt import qualified Tests.Writers.Docbook import qualified Tests.Writers.Docx +import qualified Tests.Writers.FB2 import qualified Tests.Writers.HTML import qualified Tests.Writers.LaTeX import qualified Tests.Writers.Markdown @@ -52,6 +53,7 @@ tests = testGroup "pandoc tests" [ Tests.Command.tests , testGroup "RST" Tests.Writers.RST.tests , testGroup "TEI" Tests.Writers.TEI.tests , testGroup "Muse" Tests.Writers.Muse.tests + , testGroup "FB2" Tests.Writers.FB2.tests ] , testGroup "Readers" [ testGroup "LaTeX" Tests.Readers.LaTeX.tests diff --git a/test/writer.fb2 b/test/writer.fb2 index 8a4986508..20f566334 100644 --- a/test/writer.fb2 +++ b/test/writer.fb2 @@ -2,6 +2,7 @@ <FictionBook xmlns="http://www.gribuser.ru/xml/fictionbook/2.0" xmlns:l="http://www.w3.org/1999/xlink"> <description> <title-info> +<genre>unrecognised</genre> <book-title>Pandoc Test Suite</book-title> <author> <first-name>John</first-name> @@ -20,11 +21,6 @@ <title> <p>Pandoc Test Suite</p> </title> -<annotation> -<p>John MacFarlane</p> -<p>Anonymous</p> -<p>July 17, 2006</p> -</annotation> <section> <p>This is a set of tests for pandoc. Most of them are adapted from John Gruber’s markdown test suite.</p> <empty-line /> @@ -261,23 +257,23 @@ <p>Nested</p> </title> <p>• Tab</p> -<p>◦ Tab</p> -<p>* Tab</p> +<p>• • Tab</p> +<p>• • • Tab</p> <p>Here’s another:</p> <p>1. First</p> <p>2. Second:</p> -<p> • Fee</p> -<p> • Fie</p> -<p> • Foe</p> +<p>2. • Fee</p> +<p>2. • Fie</p> +<p>2. • Foe</p> <p>3. Third</p> <p>Same thing but with paragraphs:</p> <p>1. First</p> <empty-line /> <p>2. Second:</p> <empty-line /> -<p> • Fee</p> -<p> • Fie</p> -<p> • Foe</p> +<p>2. • Fee</p> +<p>2. • Fie</p> +<p>2. • Foe</p> <p>3. Third</p> <empty-line /> </section> @@ -289,9 +285,9 @@ <empty-line /> <p>• this is a list item indented with spaces</p> <empty-line /> -<p>◦ this is an example list item indented with tabs</p> +<p>• • this is an example list item indented with tabs</p> <empty-line /> -<p>◦ this is an example list item indented with spaces</p> +<p>• • this is an example list item indented with spaces</p> <empty-line /> </section> <section> @@ -332,64 +328,61 @@ <p> <strong>apple</strong> </p> -<p> red fruit<empty-line /> -</p> +<p> red fruit</p> <p> <strong>orange</strong> </p> -<p> orange fruit<empty-line /> -</p> +<p> orange fruit</p> <p> <strong>banana</strong> </p> -<p> yellow fruit<empty-line /> -</p> +<p> yellow fruit</p> <p>Tight using tabs:</p> <p> <strong>apple</strong> </p> -<p> red fruit<empty-line /> -</p> +<p> red fruit</p> <p> <strong>orange</strong> </p> -<p> orange fruit<empty-line /> -</p> +<p> orange fruit</p> <p> <strong>banana</strong> </p> -<p> yellow fruit<empty-line /> -</p> +<p> yellow fruit</p> <p>Loose:</p> <p> <strong>apple</strong> </p> -<p> red fruit<empty-line /> -</p> +<p> red fruit</p> +<empty-line /> <p> <strong>orange</strong> </p> -<p> orange fruit<empty-line /> -</p> +<p> orange fruit</p> +<empty-line /> <p> <strong>banana</strong> </p> -<p> yellow fruit<empty-line /> -</p> +<p> yellow fruit</p> +<empty-line /> <p>Multiple blocks with italics:</p> <p> <strong> <emphasis>apple</emphasis> </strong> </p> -<p> red fruit<empty-line /> contains seeds, crisp, pleasant to taste<empty-line /> -</p> +<p> red fruit</p> +<empty-line /> +<p> contains seeds, crisp, pleasant to taste</p> +<empty-line /> <p> <strong> <emphasis>orange</emphasis> </strong> </p> -<p> orange fruit<empty-line /> +<p> orange fruit</p> +<empty-line /> <empty-line /> <p> <code> { orange code block }</code> @@ -398,42 +391,47 @@ <cite> <p> orange block quote</p> </cite> -</p> <p>Multiple definitions, tight:</p> <p> <strong>apple</strong> </p> -<p> red fruit<empty-line /> computer<empty-line /> -</p> +<p> red fruit</p> +<p> computer</p> <p> <strong>orange</strong> </p> -<p> orange fruit<empty-line /> bank<empty-line /> -</p> +<p> orange fruit</p> +<p> bank</p> <p>Multiple definitions, loose:</p> <p> <strong>apple</strong> </p> -<p> red fruit<empty-line /> computer<empty-line /> -</p> +<p> red fruit</p> +<empty-line /> +<p> computer</p> +<empty-line /> <p> <strong>orange</strong> </p> -<p> orange fruit<empty-line /> bank<empty-line /> -</p> +<p> orange fruit</p> +<empty-line /> +<p> bank</p> +<empty-line /> <p>Blank line after term, indented marker, alternate markers:</p> <p> <strong>apple</strong> </p> -<p> red fruit<empty-line /> computer<empty-line /> -</p> +<p> red fruit</p> +<empty-line /> +<p> computer</p> +<empty-line /> <p> <strong>orange</strong> </p> -<p> orange fruit<empty-line /> +<p> orange fruit</p> +<empty-line /> <p>1. sublist</p> <p>2. sublist</p> -</p> </section> <section> <title> diff --git a/test/writer.html4 b/test/writer.html4 index 2040b4a1a..51751170a 100644 --- a/test/writer.html4 +++ b/test/writer.html4 @@ -524,25 +524,25 @@ Blah <p>Here is a movie <img src="movie.jpg" alt="movie" /> icon.</p> <hr /> <h1 id="footnotes">Footnotes</h1> -<p>Here is a footnote reference,<a href="#fn1" class="footnoteRef" id="fnref1"><sup>1</sup></a> and another.<a href="#fn2" class="footnoteRef" id="fnref2"><sup>2</sup></a> This should <em>not</em> be a footnote reference, because it contains a space.[^my note] Here is an inline note.<a href="#fn3" class="footnoteRef" id="fnref3"><sup>3</sup></a></p> +<p>Here is a footnote reference,<a href="#fn1" class="footnote-ref" id="fnref1"><sup>1</sup></a> and another.<a href="#fn2" class="footnote-ref" id="fnref2"><sup>2</sup></a> This should <em>not</em> be a footnote reference, because it contains a space.[^my note] Here is an inline note.<a href="#fn3" class="footnote-ref" id="fnref3"><sup>3</sup></a></p> <blockquote> -<p>Notes can go in quotes.<a href="#fn4" class="footnoteRef" id="fnref4"><sup>4</sup></a></p> +<p>Notes can go in quotes.<a href="#fn4" class="footnote-ref" id="fnref4"><sup>4</sup></a></p> </blockquote> <ol style="list-style-type: decimal"> -<li>And in list items.<a href="#fn5" class="footnoteRef" id="fnref5"><sup>5</sup></a></li> +<li>And in list items.<a href="#fn5" class="footnote-ref" id="fnref5"><sup>5</sup></a></li> </ol> <p>This paragraph should not be part of the note, as it is not indented.</p> <div class="footnotes"> <hr /> <ol> -<li id="fn1"><p>Here is the footnote. It can go anywhere after the footnote reference. It need not be placed at the end of the document.<a href="#fnref1" class="footnoteBack">↩</a></p></li> +<li id="fn1"><p>Here is the footnote. It can go anywhere after the footnote reference. It need not be placed at the end of the document.<a href="#fnref1" class="footnote-back">↩</a></p></li> <li id="fn2"><p>Here’s the long note. This one contains multiple blocks.</p> <p>Subsequent blocks are indented to show that they belong to the footnote (as with list items).</p> <pre><code> { <code> }</code></pre> -<p>If you want, you can indent every line, but you can also be lazy and just indent the first line of each block.<a href="#fnref2" class="footnoteBack">↩</a></p></li> -<li id="fn3"><p>This is <em>easier</em> to type. Inline notes may contain <a href="http://google.com">links</a> and <code>]</code> verbatim characters, as well as [bracketed text].<a href="#fnref3" class="footnoteBack">↩</a></p></li> -<li id="fn4"><p>In quote.<a href="#fnref4" class="footnoteBack">↩</a></p></li> -<li id="fn5"><p>In list.<a href="#fnref5" class="footnoteBack">↩</a></p></li> +<p>If you want, you can indent every line, but you can also be lazy and just indent the first line of each block.<a href="#fnref2" class="footnote-back">↩</a></p></li> +<li id="fn3"><p>This is <em>easier</em> to type. Inline notes may contain <a href="http://google.com">links</a> and <code>]</code> verbatim characters, as well as [bracketed text].<a href="#fnref3" class="footnote-back">↩</a></p></li> +<li id="fn4"><p>In quote.<a href="#fnref4" class="footnote-back">↩</a></p></li> +<li id="fn5"><p>In list.<a href="#fnref5" class="footnote-back">↩</a></p></li> </ol> </div> </body> diff --git a/test/writer.html5 b/test/writer.html5 index e3b3a07ca..db2317be1 100644 --- a/test/writer.html5 +++ b/test/writer.html5 @@ -526,25 +526,25 @@ Blah <p>Here is a movie <img src="movie.jpg" alt="movie" /> icon.</p> <hr /> <h1 id="footnotes">Footnotes</h1> -<p>Here is a footnote reference,<a href="#fn1" class="footnoteRef" id="fnref1"><sup>1</sup></a> and another.<a href="#fn2" class="footnoteRef" id="fnref2"><sup>2</sup></a> This should <em>not</em> be a footnote reference, because it contains a space.[^my note] Here is an inline note.<a href="#fn3" class="footnoteRef" id="fnref3"><sup>3</sup></a></p> +<p>Here is a footnote reference,<a href="#fn1" class="footnote-ref" id="fnref1"><sup>1</sup></a> and another.<a href="#fn2" class="footnote-ref" id="fnref2"><sup>2</sup></a> This should <em>not</em> be a footnote reference, because it contains a space.[^my note] Here is an inline note.<a href="#fn3" class="footnote-ref" id="fnref3"><sup>3</sup></a></p> <blockquote> -<p>Notes can go in quotes.<a href="#fn4" class="footnoteRef" id="fnref4"><sup>4</sup></a></p> +<p>Notes can go in quotes.<a href="#fn4" class="footnote-ref" id="fnref4"><sup>4</sup></a></p> </blockquote> <ol type="1"> -<li>And in list items.<a href="#fn5" class="footnoteRef" id="fnref5"><sup>5</sup></a></li> +<li>And in list items.<a href="#fn5" class="footnote-ref" id="fnref5"><sup>5</sup></a></li> </ol> <p>This paragraph should not be part of the note, as it is not indented.</p> <section class="footnotes"> <hr /> <ol> -<li id="fn1"><p>Here is the footnote. It can go anywhere after the footnote reference. It need not be placed at the end of the document.<a href="#fnref1" class="footnoteBack">↩</a></p></li> +<li id="fn1"><p>Here is the footnote. It can go anywhere after the footnote reference. It need not be placed at the end of the document.<a href="#fnref1" class="footnote-back">↩</a></p></li> <li id="fn2"><p>Here’s the long note. This one contains multiple blocks.</p> <p>Subsequent blocks are indented to show that they belong to the footnote (as with list items).</p> <pre><code> { <code> }</code></pre> -<p>If you want, you can indent every line, but you can also be lazy and just indent the first line of each block.<a href="#fnref2" class="footnoteBack">↩</a></p></li> -<li id="fn3"><p>This is <em>easier</em> to type. Inline notes may contain <a href="http://google.com">links</a> and <code>]</code> verbatim characters, as well as [bracketed text].<a href="#fnref3" class="footnoteBack">↩</a></p></li> -<li id="fn4"><p>In quote.<a href="#fnref4" class="footnoteBack">↩</a></p></li> -<li id="fn5"><p>In list.<a href="#fnref5" class="footnoteBack">↩</a></p></li> +<p>If you want, you can indent every line, but you can also be lazy and just indent the first line of each block.<a href="#fnref2" class="footnote-back">↩</a></p></li> +<li id="fn3"><p>This is <em>easier</em> to type. Inline notes may contain <a href="http://google.com">links</a> and <code>]</code> verbatim characters, as well as [bracketed text].<a href="#fnref3" class="footnote-back">↩</a></p></li> +<li id="fn4"><p>In quote.<a href="#fnref4" class="footnote-back">↩</a></p></li> +<li id="fn5"><p>In list.<a href="#fnref5" class="footnote-back">↩</a></p></li> </ol> </section> </body> diff --git a/test/writer.jats b/test/writer.jats index 6f808e109..0f52965bc 100644 --- a/test/writer.jats +++ b/test/writer.jats @@ -14,6 +14,18 @@ <title-group> <article-title>Pandoc Test Suite</article-title> </title-group> +<contrib-group> +<contrib contrib-type="author"> +<name> +<string-name>John MacFarlane</string-name> +</name> +</contrib> +<contrib contrib-type="author"> +<name> +<string-name>Anonymous</string-name> +</name> +</contrib> +</contrib-group> <pub-date pub-type="epub"> <string-date>July 17, 2006</string-date> </pub-date> |