lib/isodoc/ribose/ribose.standard.xsl
<?xml version="1.0" encoding="UTF-8"?><xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:fo="http://www.w3.org/1999/XSL/Format" xmlns:ribose="https://www.metanorma.org/ns/ribose" xmlns:mathml="http://www.w3.org/1998/Math/MathML" xmlns:xalan="http://xml.apache.org/xalan" xmlns:fox="http://xmlgraphics.apache.org/fop/extensions" xmlns:java="http://xml.apache.org/xalan/java" exclude-result-prefixes="java" version="1.0">
<xsl:output version="1.0" method="xml" encoding="UTF-8" indent="no"/>
<xsl:key name="kfn" match="*[local-name() = 'fn'][not(ancestor::*[(local-name() = 'table' or local-name() = 'figure' or local-name() = 'localized-strings')] and not(ancestor::*[local-name() = 'name']))]" use="@reference"/>
<xsl:variable name="debug">false</xsl:variable>
<xsl:variable name="color_blue">rgb(22, 97, 173)</xsl:variable>
<xsl:variable name="copyright_year" select="/ribose:rsd-standard/ribose:bibdata/ribose:copyright/ribose:from"/>
<xsl:variable name="copyright">
<xsl:text>© </xsl:text>
<xsl:value-of select="$copyright_year"/>
<xsl:text> </xsl:text>
<xsl:value-of select="/ribose:rsd-standard/ribose:bibdata/ribose:copyright/ribose:owner/ribose:organization/ribose:name"/>
</xsl:variable>
<xsl:variable name="contents_">
<contents>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:abstract" mode="contents"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:foreword" mode="contents"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:executivesummary" mode="contents"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:introduction" mode="contents"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:clause" mode="contents"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:acknowledgements" mode="contents"/>
<xsl:call-template name="processMainSectionsDefault_Contents"/>
<xsl:call-template name="processTablesFigures_Contents"/>
</contents>
</xsl:variable>
<xsl:variable name="contents" select="xalan:nodeset($contents_)"/>
<xsl:variable name="docnumber_version">
<xsl:value-of select="/ribose:rsd-standard/ribose:bibdata/ribose:docidentifier[@type = 'rsd' or @type = 'Ribose']"/>
<xsl:text>:</xsl:text>
<xsl:value-of select="$copyright_year"/>
<xsl:variable name="edition" select="normalize-space(/ribose:rsd-standard/ribose:bibdata/ribose:edition[normalize-space(@language) = ''])"/>
<xsl:if test="$edition != ''">
<xsl:variable name="title-version">
<xsl:call-template name="capitalize">
<xsl:with-param name="str">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">version</xsl:with-param>
</xsl:call-template>
</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:text>, </xsl:text><xsl:value-of select="$title-version"/><xsl:text> </xsl:text><xsl:value-of select="$edition"/>
</xsl:if>
</xsl:variable>
<xsl:template match="/">
<xsl:call-template name="namespaceCheck"/>
<fo:root xml:lang="{$lang}">
<xsl:variable name="root-style">
<root-style xsl:use-attribute-sets="root-style"/>
</xsl:variable>
<xsl:call-template name="insertRootStyle">
<xsl:with-param name="root-style" select="$root-style"/>
</xsl:call-template>
<fo:layout-master-set>
<!-- Cover page -->
<fo:simple-page-master master-name="cover-page" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="176mm" margin-bottom="11.5mm" margin-left="13mm" margin-right="78mm"/>
<fo:region-before region-name="cover-page-header" extent="176mm"/>
<fo:region-after region-name="cover-page-footer" extent="11.5mm"/>
<fo:region-start extent="13mm"/>
<fo:region-end extent="78mm"/>
</fo:simple-page-master>
<!-- ToC -->
<fo:simple-page-master master-name="toc-odd" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="14mm" margin-bottom="26.5mm" margin-left="61mm" margin-right="12mm"/>
<fo:region-before region-name="header-toc-odd" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="toc-even" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="14mm" margin-bottom="85mm" margin-left="61mm" margin-right="12mm"/>
<fo:region-before region-name="header-toc-even" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
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<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:page-sequence-master master-name="toc">
<fo:repeatable-page-master-alternatives>
<fo:conditional-page-master-reference odd-or-even="odd" master-reference="toc-odd"/>
<fo:conditional-page-master-reference odd-or-even="even" master-reference="toc-even"/>
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<fo:region-after region-name="footer-even" extent="12.5mm"/>
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<!-- Page 2 and 3: (left bottom + right top, yellow) -->
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<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RT-yellow" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
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</fo:simple-page-master>
<!-- Page 4 and 5: (left top + right bottom, blue) -->
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<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LT-blue" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
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</fo:simple-page-master>
<fo:simple-page-master master-name="page5" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RB-blue" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<!-- Page 6 and 7: (left bottom + right top, orange) -->
<fo:simple-page-master master-name="page6" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LB-orange" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="page7" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RT-orange" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
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</fo:simple-page-master>
<!-- Page 8 and 9: (left top + right bottom, yellow) -->
<fo:simple-page-master master-name="page8" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LT-yellow" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="page9" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RB-yellow" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
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</fo:simple-page-master>
<fo:simple-page-master master-name="page10" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LB-blue" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="page11" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RT-blue" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="page12" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LT-orange" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="page13" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RB-orange" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
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<fo:simple-page-master master-name="page14" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LB-yellow" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="page15" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RT-yellow" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
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</fo:simple-page-master>
<fo:simple-page-master master-name="page16" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LT-blue" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
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<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RB-blue" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
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<fo:simple-page-master master-name="page18" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LB-orange" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
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<fo:simple-page-master master-name="page19" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RT-orange" extent="14mm"/>
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<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LT-yellow" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
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<fo:simple-page-master master-name="page21" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RB-yellow" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
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</fo:simple-page-master>
<fo:simple-page-master master-name="page22" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LB-blue" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
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<fo:simple-page-master master-name="page23" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RT-blue" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="page24" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-LT-orange" extent="14mm"/>
<fo:region-after region-name="footer-even" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="page25" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header-RB-orange" extent="14mm"/>
<fo:region-after region-name="footer-odd" extent="12.5mm"/>
<fo:region-start region-name="left-region" extent="13mm"/>
<fo:region-end region-name="right-region" extent="12mm"/>
</fo:simple-page-master>
<fo:page-sequence-master master-name="document">
<fo:single-page-master-reference master-reference="first"/>
<xsl:call-template name="insert_single-page-master-reference">
<xsl:with-param name="initial">true</xsl:with-param>
</xsl:call-template>
<fo:repeatable-page-master-reference master-reference="page2"/>
</fo:page-sequence-master>
</fo:layout-master-set>
<fo:declarations>
<xsl:call-template name="addPDFUAmeta"/>
</fo:declarations>
<xsl:call-template name="addBookmarks">
<xsl:with-param name="contents" select="$contents"/>
</xsl:call-template>
<!-- Cover Page -->
<fo:page-sequence master-reference="cover-page" force-page-count="no-force">
<fo:flow flow-name="xsl-region-body" color="black">
<!-- background image -->
<fo:block-container absolute-position="fixed" left="0mm" top="0mm" font-size="0">
<fo:block>
<!-- <fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Cover-Background))}" width="{$pageWidth}mm" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Front"/> -->
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Cover-Background))}" height="{$pageHeight}mm" content-width="scale-to-fit" scaling="uniform" fox:alt-text="Image Front"/>
</fo:block>
</fo:block-container>
<!-- Ribose logo -->
<fo:block-container absolute-position="fixed" left="171mm" top="{$pageHeight - 33.4}mm" height="30mm" width="40mm" id="__internal_layout__logo_{generate-id()}"> <!-- top="246mm" -->
<fo:block>
<fo:instream-foreign-object content-width="32mm" fox:alt-text="Ribose Logo">
<xsl:copy-of select="$Ribose-Logo"/>
</fo:instream-foreign-object>
</fo:block>
</fo:block-container>
<fo:block-container absolute-position="fixed" left="0mm" top="{$pageHeight - 52.4}mm" height="41mm" display-align="after"> <!-- top="227mm" -->
<fo:block font-size="10pt" line-height="1.4">
<fo:table table-layout="fixed" width="100%">
<fo:table-column column-width="proportional-column-width(13)"/>
<fo:table-column column-width="proportional-column-width(38)"/>
<fo:table-column column-width="proportional-column-width(90)"/>
<fo:table-column column-width="proportional-column-width(61)"/>
<fo:table-column column-width="proportional-column-width(12)"/>
<fo:table-body>
<fo:table-row>
<fo:table-cell><fo:block/></fo:table-cell>
<fo:table-cell display-align="before" border-right="0.5pt solid black" padding-top="1.5mm" padding-right="5mm">
<!-- Author's list -->
<fo:block>
<xsl:for-each select="/ribose:rsd-standard/ribose:bibdata/ribose:contributor[ribose:role/@type='author']/ribose:person/ribose:name/ribose:completename">
<fo:block>
<xsl:apply-templates/>
</fo:block>
</xsl:for-each>
</fo:block>
</fo:table-cell>
<fo:table-cell display-align="before" padding-top="1.5mm" padding-left="8mm">
<fo:block>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:bibdata/ribose:ext/ribose:security"/>
<fo:block>
<xsl:call-template name="convertDate">
<xsl:with-param name="date" select="/ribose:rsd-standard/ribose:bibdata/ribose:date[@type = 'published']/ribose:on"/>
<xsl:with-param name="format" select="'Month DD, YYYY'"/>
</xsl:call-template>
</fo:block>
<fo:block><xsl:value-of select="$docnumber_version"/></fo:block>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:bibdata/ribose:ext/ribose:editorialgroup/ribose:committee"/>
<fo:block>
<xsl:text>© </xsl:text>
<xsl:value-of select="$copyright_year"/>
<xsl:text> </xsl:text>
<xsl:variable name="publisher" select="/ribose:rsd-standard/ribose:bibdata/ribose:contributor[ribose:role/@type='publisher']/ribose:organization/ribose:name"/>
<xsl:value-of select="$publisher"/>
<xsl:if test="substring($publisher, string-length($publisher)) != '.'"><xsl:text>.</xsl:text></xsl:if>
<xsl:text> </xsl:text>
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">all_rights_reserved</xsl:with-param>
</xsl:call-template>
</fo:block>
</fo:block>
</fo:table-cell>
<fo:table-cell display-align="after">
<fo:block text-align="right">
<!-- <fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Ribose-Logo))}" width="32mm" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Ribose Logo"/> -->
</fo:block>
</fo:table-cell>
<fo:table-cell><fo:block/></fo:table-cell>
</fo:table-row>
</fo:table-body>
</fo:table>
</fo:block>
</fo:block-container>
<!-- title and version -->
<fo:block-container margin-top="{$pageHeight - 279.4}mm" height="60mm" display-align="center">
<xsl:variable name="title" select="/ribose:rsd-standard/ribose:bibdata/ribose:title[@language = $lang]"/>
<xsl:if test="string-length($title) > 80">
<xsl:attribute name="margin-right">-30mm</xsl:attribute>
</xsl:if>
<fo:block font-size="27pt" font-weight="bold" role="H1">
<xsl:apply-templates select="/ribose:rsd-standard/ribose:bibdata/ribose:title[@language = $lang]" mode="cover_page"/>
</fo:block>
<fo:block space-before="9pt" font-size="16.8pt" font-weight="600">
<xsl:value-of select="$docnumber_version"/>
</fo:block>
</fo:block-container>
</fo:flow>
</fo:page-sequence>
<!-- END Cover page -->
<!-- ToC pages -->
<fo:page-sequence master-reference="document" force-page-count="no-force"> <!-- master-reference="toc" -->
<xsl:call-template name="insertHeaderFooter">
<xsl:with-param name="section">toc</xsl:with-param>
</xsl:call-template>
<fo:flow flow-name="xsl-region-body">
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:clause[@type = 'toc']"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:boilerplate/ribose:legal-statement"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:boilerplate/ribose:feedback-statement"/>
</fo:flow>
</fo:page-sequence>
<!-- ============== -->
<!-- END ToC pages -->
<!-- ============== -->
<fo:page-sequence master-reference="document" force-page-count="no-force">
<fo:static-content flow-name="xsl-footnote-separator">
<fo:block>
<fo:leader leader-pattern="rule" leader-length="30%"/>
</fo:block>
</fo:static-content>
<xsl:call-template name="insertHeaderFooter">
<xsl:with-param name="section">main</xsl:with-param>
</xsl:call-template>
<fo:flow flow-name="xsl-region-body">
<fo:block line-height="130%">
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:abstract"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:foreword"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:executivesummary"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:introduction"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:clause[not(@type = 'toc')]"/>
<xsl:apply-templates select="/ribose:rsd-standard/ribose:preface/ribose:acknowledgements"/>
<xsl:call-template name="processMainSectionsDefault"/>
</fo:block>
</fo:flow>
</fo:page-sequence>
</fo:root>
</xsl:template>
<xsl:template name="insertListOf_Title">
<xsl:param name="title"/>
<fo:block font-size="13pt" font-weight="bold" color="black" margin-top="12pt" margin-bottom="12pt" keep-with-next="always">
<xsl:value-of select="$title"/>
</fo:block>
</xsl:template>
<xsl:template name="insertListOf_Item">
<fo:block font-size="13pt" role="TOCI" margin-left="16.5mm" space-before="4pt" space-after="5pt">
<fo:block text-align-last="justify">
<fo:basic-link internal-destination="{@id}">
<xsl:call-template name="setAltText">
<xsl:with-param name="value" select="@alt-text"/>
</xsl:call-template>
<xsl:apply-templates select="." mode="contents"/>
<xsl:text> </xsl:text>
<fo:inline>
<fo:leader leader-pattern="rule" rule-thickness="0.2mm"/>
<fo:inline padding-left="2mm"><fo:page-number-citation ref-id="{@id}"/></fo:inline>
</fo:inline>
</fo:basic-link>
</fo:block>
</fo:block>
</xsl:template>
<xsl:template match="ribose:title" mode="cover_page">
<xsl:apply-templates/>
</xsl:template>
<xsl:template match="ribose:preface/ribose:clause[@type = 'toc']" priority="3">
<fo:block role="TOC">
<xsl:apply-templates/>
<xsl:if test="count(*) = 1 and *[local-name() = 'title']"> <!-- if there isn't user ToC -->
<xsl:if test="$contents//item[@display = 'true']">
<fo:block-container margin-left="32mm" margin-right="-17mm">
<fo:block-container margin-left="0mm" margin-right="0mm">
<xsl:for-each select="$contents//item[@display = 'true']">
<fo:block font-size="13pt" role="TOCI">
<xsl:if test="@level = 1">
<xsl:if test="preceding-sibling::item[@display = 'true' and @level = 1]">
<xsl:attribute name="space-before">16pt</xsl:attribute>
</xsl:if>
<xsl:attribute name="space-after">4pt</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
</xsl:if>
<xsl:if test="@level >= 2">
<xsl:attribute name="margin-left"><xsl:value-of select="(@level - 1) * 16.5"/>mm</xsl:attribute>
<xsl:attribute name="space-before">4pt</xsl:attribute>
<xsl:attribute name="space-after">5pt</xsl:attribute>
</xsl:if>
<fo:block text-align-last="justify">
<fo:basic-link internal-destination="{@id}" fox:alt-text="{title}">
<xsl:value-of select="@section"/>
<xsl:text> </xsl:text>
<xsl:apply-templates select="title"/>
<xsl:text> </xsl:text>
<fo:inline>
<fo:leader leader-pattern="rule" rule-thickness="0.2mm"/>
<fo:inline padding-left="2mm"><fo:page-number-citation ref-id="{@id}"/></fo:inline>
</fo:inline>
</fo:basic-link>
</fo:block>
</fo:block>
</xsl:for-each>
<!-- List of Tables -->
<xsl:if test="$contents//tables/table">
<xsl:call-template name="insertListOf_Title">
<xsl:with-param name="title" select="$title-list-tables"/>
</xsl:call-template>
<xsl:for-each select="$contents//tables/table">
<xsl:call-template name="insertListOf_Item"/>
</xsl:for-each>
</xsl:if>
<!-- List of Figures -->
<xsl:if test="$contents//figures/figure">
<xsl:call-template name="insertListOf_Title">
<xsl:with-param name="title" select="$title-list-figures"/>
</xsl:call-template>
<xsl:for-each select="$contents//figures/figure">
<xsl:call-template name="insertListOf_Item"/>
</xsl:for-each>
</xsl:if>
</fo:block-container>
</fo:block-container>
<fo:block break-after="page"/>
</xsl:if>
</xsl:if>
<fo:block margin-bottom="12pt"> </fo:block>
</fo:block>
</xsl:template>
<xsl:template match="ribose:preface/ribose:clause[@type = 'toc']/ribose:title" priority="3">
<fo:block font-size="27pt" font-weight="bold" color="black" margin-left="-15mm" margin-bottom="13mm" role="H1">
<!-- <xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">table_of_contents</xsl:with-param>
</xsl:call-template> -->
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template match="ribose:bibdata/ribose:ext/ribose:security">
<fo:block>
<xsl:call-template name="capitalize">
<xsl:with-param name="str" select="."/>
</xsl:call-template>
</fo:block>
</xsl:template>
<xsl:template match="ribose:bibdata/ribose:ext/ribose:editorialgroup/ribose:committee">
<fo:block><xsl:apply-templates/></fo:block>
</xsl:template>
<xsl:template match="node()">
<xsl:apply-templates/>
</xsl:template>
<!-- ============================= -->
<!-- CONTENTS -->
<!-- ============================= -->
<!-- element with title -->
<xsl:template match="*[ribose:title]" mode="contents">
<xsl:variable name="level">
<xsl:call-template name="getLevel">
<xsl:with-param name="depth" select="ribose:title/@depth"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="display">
<xsl:choose>
<xsl:when test="$level > $toc_level">false</xsl:when>
<xsl:otherwise>true</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="skip">
<xsl:choose>
<xsl:when test="@type = 'toc'">true</xsl:when>
<xsl:when test="ancestor-or-self::ribose:bibitem">true</xsl:when>
<xsl:when test="ancestor-or-self::ribose:term">true</xsl:when>
<xsl:otherwise>false</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:if test="$skip = 'false'">
<xsl:variable name="section">
<xsl:call-template name="getSection"/>
</xsl:variable>
<xsl:variable name="title">
<xsl:call-template name="getName"/>
</xsl:variable>
<xsl:variable name="type">
<xsl:value-of select="local-name()"/>
</xsl:variable>
<item id="{@id}" level="{$level}" section="{$section}" type="{$type}" display="{$display}">
<title>
<xsl:apply-templates select="xalan:nodeset($title)" mode="contents_item"/>
</title>
<xsl:apply-templates mode="contents"/>
</item>
</xsl:if>
</xsl:template>
<!-- ============================= -->
<!-- ============================= -->
<xsl:template match="ribose:feedback-statement" priority="2">
<fo:block-container border="1pt solid black" padding="1mm" padding-left="2mm">
<fo:block>
<xsl:apply-templates/>
</fo:block>
</fo:block-container>
</xsl:template>
<xsl:template match="ribose:legal-statement" priority="2">
<xsl:apply-templates/>
</xsl:template>
<!-- ====== -->
<!-- title -->
<!-- ====== -->
<!-- <xsl:template match="ribose:annex/ribose:title">
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<xsl:variable name="color">
<xsl:choose>
<xsl:when test="$level >= 1">rgb(14, 26, 133)</xsl:when>
<xsl:otherwise>black</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<fo:block font-size="12pt" text-align="center" margin-bottom="12pt" keep-with-next="always" color="{$color}">
<xsl:apply-templates />
</fo:block>
</xsl:template> -->
<xsl:template match="ribose:title" name="title">
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<xsl:variable name="font-size">
<xsl:choose>
<!-- <xsl:when test="ancestor::ribose:preface and $level >= 2">12pt</xsl:when>
<xsl:when test="ancestor::ribose:preface">13pt</xsl:when> -->
<xsl:when test="$level = 1">22pt</xsl:when>
<xsl:when test="$level = 2">13pt</xsl:when>
<xsl:when test="$level >= 3">11pt</xsl:when>
<xsl:otherwise>16pt</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="font-weight">
<xsl:choose>
<xsl:when test="$level >= 4">normal</xsl:when>
<xsl:otherwise>bold</xsl:otherwise> <!-- 600 - semibold-->
</xsl:choose>
</xsl:variable>
<xsl:variable name="space-before">
<xsl:choose>
<xsl:when test="$level = 1">25mm</xsl:when>
<xsl:when test="$level = 2">9mm</xsl:when>
<xsl:when test="$level = 3">12pt</xsl:when>
<xsl:when test="$level >= 4">8pt</xsl:when>
<xsl:otherwise>13.5pt</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="margin-bottom">
<xsl:choose>
<xsl:when test="$level = 1">12pt</xsl:when>
<xsl:when test="$level >= 4">4pt</xsl:when>
<xsl:otherwise>12pt</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="element-name">
<xsl:choose>
<xsl:when test="../@inline-header = 'true'">fo:inline</xsl:when>
<xsl:otherwise>fo:block</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="color">
<xsl:choose>
<xsl:when test="$level = 3"><xsl:value-of select="$color_blue"/></xsl:when>
<xsl:otherwise>black</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:element name="{$element-name}">
<xsl:attribute name="font-size"><xsl:value-of select="$font-size"/></xsl:attribute>
<xsl:attribute name="font-weight"><xsl:value-of select="$font-weight"/></xsl:attribute>
<xsl:attribute name="space-before"><xsl:value-of select="$space-before"/></xsl:attribute>
<xsl:attribute name="margin-bottom"><xsl:value-of select="$margin-bottom"/></xsl:attribute>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color"/></xsl:attribute>
<xsl:attribute name="line-height">125%</xsl:attribute>
<xsl:attribute name="role">H<xsl:value-of select="$level"/></xsl:attribute>
<xsl:choose>
<xsl:when test="$level = 1">
<fo:block-container margin-left="-15mm">
<fo:block-container margin-left="0mm">
<fo:table width="100%" table-layout="fixed">
<fo:table-column column-width="15mm"/>
<fo:table-column column-width="150mm"/>
<fo:table-body>
<fo:table-row>
<fo:table-cell text-align="left">
<fo:block>
<xsl:call-template name="extractSection"/><!-- section number 1 2 3 ... -->
</fo:block>
</fo:table-cell>
<fo:table-cell>
<fo:block>
<xsl:call-template name="extractTitle"/> <!-- section title -->
<xsl:apply-templates select="following-sibling::*[1][local-name() = 'variant-title'][@type = 'sub']" mode="subtitle"/>
</fo:block>
</fo:table-cell>
</fo:table-row>
</fo:table-body>
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<xsl:otherwise>
<xsl:apply-templates/>
<xsl:apply-templates select="following-sibling::*[1][local-name() = 'variant-title'][@type = 'sub']" mode="subtitle"/>
</xsl:otherwise>
</xsl:choose>
</xsl:element>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<!-- <xsl:template match="*[local-name() = 'clause'][@type = 'scope']" priority="3">
<fo:block-container width="90mm">
<xsl:call-template name="setId"/>
<fo:block>
<xsl:apply-templates />
</fo:block>
</fo:block-container>
</xsl:template> -->
<xsl:template match="*[local-name() = 'terms']" priority="3">
<fo:block break-after="page"/>
<fo:block id="{@id}">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template match="ribose:p" name="paragraph">
<xsl:param name="inline" select="'false'"/>
<xsl:param name="split_keep-within-line"/>
<xsl:variable name="previous-element" select="local-name(preceding-sibling::*[1])"/>
<xsl:variable name="element-name">
<xsl:choose>
<xsl:when test="$inline = 'true'">fo:inline</xsl:when>
<xsl:when test="../@inline-header = 'true' and $previous-element = 'title'">fo:inline</xsl:when> <!-- first paragraph after inline title -->
<xsl:when test="local-name(..) = 'admonition'">fo:inline</xsl:when>
<xsl:otherwise>fo:block</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:element name="{$element-name}">
<xsl:attribute name="id">
<xsl:value-of select="@id"/>
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<xsl:attribute name="text-align">
<xsl:choose>
<!-- <xsl:when test="ancestor::ribose:preface">justify</xsl:when> -->
<xsl:when test="@align"><xsl:value-of select="@align"/></xsl:when>
<xsl:otherwise>left</xsl:otherwise><!-- justify -->
</xsl:choose>
</xsl:attribute>
<xsl:attribute name="space-after">
<xsl:choose>
<xsl:when test="ancestor::ribose:li">6pt</xsl:when>
<xsl:when test="ancestor::ribose:feedback-statement and not(following-sibling::ribose:p)">0pt</xsl:when>
<xsl:otherwise>6pt</xsl:otherwise> <!-- 12pt-->
</xsl:choose>
</xsl:attribute>
<xsl:if test="ancestor::ribose:dl"> <!-- ancestor::ribose:li or -->
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
<!-- <xsl:attribute name="line-height">155%</xsl:attribute> -->
<xsl:apply-templates>
<xsl:with-param name="split_keep-within-line" select="$split_keep-within-line"/>
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</xsl:element>
<xsl:if test="$element-name = 'fo:inline' and not($inline = 'true') and not(local-name(..) = 'admonition')">
<fo:block margin-bottom="12pt">
<xsl:if test="ancestor::ribose:annex">
<xsl:attribute name="margin-bottom">0</xsl:attribute>
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<xsl:value-of select="$linebreak"/>
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<xsl:if test="$inline = 'true'">
<fo:block> </fo:block>
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<xsl:template match="ribose:fn/ribose:p">
<fo:block>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template match="ribose:ul | ribose:ol" mode="list" priority="2">
<fo:block-container>
<fo:block-container margin-left="0mm">
<xsl:choose>
<xsl:when test="not(ancestor::ribose:ul) and not(ancestor::ribose:ol)">
<fo:block padding-bottom="12pt" padding-top="4pt">
<xsl:call-template name="listProcessing"/>
</fo:block>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="listProcessing"/>
</xsl:otherwise>
</xsl:choose>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template name="listProcessing">
<fo:list-block xsl:use-attribute-sets="list-style">
<xsl:apply-templates/>
</fo:list-block>
</xsl:template>
<xsl:template match="ribose:ul/ribose:note | ribose:ol/ribose:note" priority="2">
<fo:list-item font-size="10pt">
<xsl:if test="ancestor::ribose:table">
<xsl:attribute name="font-size">8pt</xsl:attribute>
</xsl:if>
<fo:list-item-label><fo:block/></fo:list-item-label>
<fo:list-item-body>
<fo:block>
<xsl:apply-templates select="ribose:name"/>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</fo:list-item-body>
</fo:list-item>
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<xsl:template match="ribose:preferred | ribose:deprecates | ribose:admitted" priority="2">
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<xsl:variable name="font-size">
<xsl:choose>
<xsl:when test="$level >= 2">13pt</xsl:when>
<xsl:otherwise>12pt</xsl:otherwise>
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<xsl:variable name="levelTerm">
<xsl:call-template name="getLevelTermName"/>
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<fo:block font-weight="bold" color="black" font-size="{$font-size}" keep-with-next="always" role="H{$levelTerm}"> <!-- 600 - semibold -->
<xsl:if test="preceding-sibling::*[1][self::ribose:name]">
<xsl:attribute name="space-before">11mm</xsl:attribute>
<fo:inline padding-right="1mm">
<xsl:apply-templates select="ancestor::ribose:term[1]/ribose:name"/>
</fo:inline>
</xsl:if>
<fo:inline padding-right="4mm"><xsl:if test="local-name() = 'preferred'"><xsl:call-template name="setStyle_preferred"/></xsl:if><xsl:apply-templates/></fo:inline>
<xsl:variable name="term_kind">
<xsl:choose>
<xsl:when test="local-name() = 'deprecates'">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">deprecated</xsl:with-param>
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<xsl:otherwise><xsl:value-of select="local-name()"/></xsl:otherwise>
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<xsl:variable name="kind" select="local-name()"/>
<fo:inline-container text-align="center" width="29mm">
<xsl:attribute name="background-color">
<xsl:choose>
<xsl:when test="$kind = 'preferred'">rgb(255, 240, 198)</xsl:when>
<xsl:when test="$kind = 'deprecates'">rgb(252, 221, 194)</xsl:when>
<xsl:when test="$kind = 'admitted'">rgb(208, 223, 239)</xsl:when>
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<fo:block padding-top="1mm" padding-bottom="0.5mm">
<fo:inline font-size="11pt" font-weight="300">
<xsl:value-of select="java:toUpperCase(java:java.lang.String.new($term_kind))"/>
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<xsl:template match="ribose:references[not(@normative='true')]" priority="3">
<fo:block break-after="page"/>
<fo:block id="{@id}">
<fo:table width="100%" table-layout="fixed">
<fo:table-column column-width="100%"/>
<fo:table-header>
<fo:table-row>
<fo:table-cell text-align="left">
<fo:block margin-left="-15mm" role="H1"> <!-- Bibliography section title -->
<xsl:attribute name="font-size">22pt</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="margin-bottom">16pt</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
<xsl:attribute name="line-height">125%</xsl:attribute>
<xsl:apply-templates select="ribose:title/node()"/>
</fo:block>
</fo:table-cell>
</fo:table-row>
</fo:table-header>
<fo:table-body>
<fo:table-row>
<fo:table-cell text-align="left">
<fo:block>
<xsl:apply-templates select="node()[not(local-name() = 'title')]"/>
</fo:block>
</fo:table-cell>
</fo:table-row>
</fo:table-body>
</fo:table>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name()='table' or local-name()='figure' or local-name()='sourcecode']/*[local-name() = 'name']/node()[1][self::text()]" priority="2">
<xsl:choose>
<xsl:when test="contains(., '—')">
<xsl:variable name="name_number" select="normalize-space(translate(substring-before(., '—'), ' ', ' '))"/>
<fo:inline font-weight="bold" font-style="normal" color="black"><xsl:value-of select="java:toUpperCase(java:java.lang.String.new($name_number))"/><xsl:text>:</xsl:text></fo:inline>
<xsl:value-of select="substring-after(., '—')"/>
</xsl:when>
<xsl:when test="starts-with(., 'Figure ') or starts-with(., 'Table ')">
<fo:inline font-weight="bold" font-style="normal" color="black"><xsl:value-of select="java:toUpperCase(java:java.lang.String.new(.))"/></fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="*[local-name() = 'clause']" priority="2">
<xsl:variable name="level">
<xsl:call-template name="getLevel">
<xsl:with-param name="depth" select="ribose:title/@depth"/>
</xsl:call-template>
</xsl:variable>
<fo:block-container>
<xsl:if test="$level >= 4">
<xsl:attribute name="margin-left">13mm</xsl:attribute>
</xsl:if>
<fo:block-container margin-left="0mm">
<fo:block>
<xsl:call-template name="setId"/>
<xsl:apply-templates/>
</fo:block>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template name="insertHeaderFooter">
<xsl:param name="section"/>
<!-- LT - left top -->
<!-- RT - right top -->
<!-- LB - left bottom -->
<!-- RB - right bottom -->
<xsl:variable name="width">170,26</xsl:variable>
<xsl:variable name="left_left">-28.02</xsl:variable>
<xsl:variable name="left_right">72</xsl:variable>
<xsl:variable name="top_top">-25.75</xsl:variable>
<xsl:variable name="top_bottom">194</xsl:variable>
<!-- Yellow -->
<fo:static-content flow-name="header-LT-yellow" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_left}mm" top="{$top_top}mm" font-size="0" id="__internal_layout__header-LT-yellow_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-yellow-left))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="header-RT-yellow" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_right}mm" top="{$top_top}mm" font-size="0" id="__internal_layout__header-RT-yellow_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-yellow-right))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="header-LB-yellow" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_left}mm" top="{$top_bottom}mm" font-size="0" id="__internal_layout__header-LB-yellow_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-yellow-left))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="header-RB-yellow" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_right}mm" top="{$top_bottom}mm" font-size="0" id="__internal_layout__header-RB-yellow_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-yellow-right))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<!-- Blue -->
<fo:static-content flow-name="header-LT-blue" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_left}mm" top="{$top_top}mm" font-size="0" id="__internal_layout__header-LT-blue_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-blue-left))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="header-RT-blue" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_right}mm" top="{$top_top}mm" font-size="0" id="__internal_layout__header-RT-blue_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-blue-right))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="header-LB-blue" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_left}mm" top="{$top_bottom}mm" font-size="0" id="__internal_layout__header-LB-blue_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-blue-left))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="header-RB-blue" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_right}mm" top="{$top_bottom}mm" font-size="0" id="__internal_layout__header-RB-blue_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-blue-right))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<!-- Orange -->
<fo:static-content flow-name="header-LT-orange" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_left}mm" top="{$top_top}mm" font-size="0" id="__internal_layout__header-LT-orange_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-orange-left))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="header-RT-orange" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_right}mm" top="{$top_top}mm" font-size="0" id="__internal_layout__header-RT-orange_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-orange-right))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="header-LB-orange" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_left}mm" top="{$top_bottom}mm" font-size="0" id="__internal_layout__header-LB-orange_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-orange-left))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="header-RB-orange" role="artifact">
<fo:block-container absolute-position="fixed" left="{$left_right}mm" top="{$top_bottom}mm" font-size="0" id="__internal_layout__header-RB-orange_{$section}_{generate-id()}">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Page-Background-orange-right))}" content-width="100%" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Page"/>
</fo:block>
</fo:block-container>
</fo:static-content>
<xsl:call-template name="insertFooter"/>
</xsl:template>
<xsl:template name="insertFooter">
<xsl:param name="invert"/>
<xsl:variable name="footerText">
<xsl:text>Ribose</xsl:text>
<xsl:text> </xsl:text>
<xsl:call-template name="capitalize">
<xsl:with-param name="str" select="/ribose:rsd-standard/ribose:bibdata/ribose:ext/ribose:doctype"/>
</xsl:call-template>
</xsl:variable>
<fo:static-content flow-name="footer-odd" role="artifact">
<fo:block-container font-size="8pt" height="100%" color="black">
<fo:block text-align-last="justify" margin-right="1mm">
<fo:inline padding-right="11mm"><fo:page-number/></fo:inline>
<xsl:value-of select="$footerText"/>
<fo:inline keep-together.within-line="always">
<fo:leader leader-pattern="space"/>
<xsl:value-of select="$copyright"/>
</fo:inline>
</fo:block>
</fo:block-container>
</fo:static-content>
<fo:static-content flow-name="footer-even" role="artifact">
<fo:block-container font-size="8pt" height="100%" color="black">
<fo:block text-align-last="justify" margin-right="1mm">
<fo:inline padding-right="11mm"><fo:page-number/></fo:inline>
<fo:inline>
<xsl:if test="$invert = 'true'">
<xsl:attribute name="color">white</xsl:attribute>
</xsl:if>
<xsl:value-of select="$footerText"/>
</fo:inline>
<fo:inline keep-together.within-line="always">
<fo:leader leader-pattern="space"/>
<xsl:value-of select="$copyright"/>
</fo:inline>
</fo:block>
</fo:block-container>
</fo:static-content>
</xsl:template>
<xsl:variable name="Ribose-Logo">
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</xsl:text>
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c4ACZLqc2HkrxzGE/qu7ZIBQDQOwHQO1kslu0AANeg79qbJDliGDeU2nxLKgATaW2SS5LUJC8QBwAwpr3zRL0TQO9k8li2AwBcs4OT3DLJj5IcKQ6AyVRq8+3M3zvv8L5rbyYVAGAMe+dR4gDQO5k8lu0AAL+g79pfS/KyYdyv1OYCqQBMtKOT/DDJLZIcIg4AQO8EQO9kMVi2AwD8shOT7JDk00neJA6AyVZqc2GSfYbxpX3X3lsqAIDeCYDeybaybAcAWKDv2ickeeIwriq1uVIqAFPhLUk+mWT7JCeJAwDQOwHQO9lWlu0AAIO+a3dIsmEY31pq859SAZgOpTabkuwxjL/fd+0fSAUA0DsB0DvZFpbtAADzXprk15JclGStOACmS6nNp5K8cRhP7Lt2R6kAAHonAHonW8uyHQAgSd+1t0xyyDAeXWpzplQAptL+SX6e5B5JVokDANA7AdA72VqW7QAAI0ckuUmS7yY5QRwA06nU5odJjhrGA/uuvbVUAAC9EwC9k61h2Q4AzLy+a++XZPdh3LvU5mKpAEy1DUm+nWTXjA56AwDonQDonWwxy3YAgGTj8L7oI6U2fysOgOlWanNJkr2G8fl91z5AKgCA3gmA3smWsmwHAGZa37V/kuQRSa6MeygBzIxSm79L8sEkc0k29l07JxUAQO8EQO9kS1i2AwAzq+/aXZKsH8bTS20+LxWAmbIqyRVJHpZkN3EAAHonAHonW8KyHQCYZXsmuXOSnyVZJw6A2VJq0yU5bRiPGw6GAwDonQDonWwWy3YAYCb1XXv7JPsP46GlNmdLBWAmHZjkvCS/mmStOAAAvRMAvZPNZdkOAMyqY5PcIMnXkpwiDoDZVGrzkyQHD+M+fdf+qlQAAL0TAL2TzWHZDgDMnL5rfyfJnw3j6lKby6UCMNNemeTLSRbeUxUAQO8EQO/kOs2JAACYJX3XziX5ZJLfTvK+UpsnSAWAvmsfl+R9w/iwUpuPSQUAWITe+c+lNk+UCgB653TyyXYAYNY8O6MDHn2S1eIAIElKbd6f5D3DuLHvWn0ZAFiM3rlGHADondPLDxEAmBl91944yVHD+IpSm69KBYAF9kxyeZLfSvIccQAAeicAeifXxbIdAJgl+ye5bZJzkhwmDgAWKrX5epKNw3h037W7SgUA0DsB0Du5NpbtAMBM6Lv2rpm/fN+6UpvzpALANTg8ydlJbpXkAHEAAHonAHon18ayHQCYFSck2SnJF5KcJg4ArkmpzfmZP9ixpu/au0sFANA7AdA7uSaW7QDA1Ou79veSPHkYV5XaXCkVAK7D65J8LskOGR00BwDQOwHQO/kllu0AwFTru7Zk/j5If1tq82GpAHBdhoPjewzjH/Vd+/tSAQD0TgAWuXeu0jsnn2U7ADDtXpjkvkkuSbJWHABsjlKb/0jyjmHcMBxEBwDQOwFYrN75Ub1z8lm2AwBTq+/amyU5fBiPL7X5jlQA2AJrMzpofp8kLxYHAKB3AqB3spBlOwAwzQ5NcvMkP0xyjDgA2BKlNt9LcuxVv1P6rr25VAAAvRMAvZOrWLYDAFOp79pfT/KSYVxbanOhVADYCuuT/CDJwk+tAQDonQDonVi2AwBT68Qk2yf5zyRvFQcAW6PU5qLM33v1RX3X3lcqAIDeCYDeSWLZDgBMob5r/yjJ7yfZlGR1qc0mqQCwDd6e5GMZHUw/SRwAgN4JgN5JYtkOAEyZvmt3THLCML6p1OZTUgFgWwwHz1dldDD90X3XPlkqAKB36p0A6J1YtgMA02Z1krsn+XmSfcUBwGIotfmvJG8YxhP6rt1JKgCgd+qdAOids82yHQCYGn3X3jrJgcN4ZKnNj6QCwCLaL8kFSe6a0UF2AEDv1DsB0DtnmGU7ADBNjkpy4yTfTrJBHAAsplKbs5IcMYwH9l17G6kAwMz2zm/pnQDonVi2AwBToe/a30ry3GHcs9TmUqkAsAROSvLNJDdKcow4AGBme+deeicAeidzIgAAJl3ftXNJPprk/yX5t1Kbx0gFgCX8vfNHSdokm5I8uNTm01IBAL0TAPTO2eOT7QDANHh6Rgc8rkiyRhwALKVSm39I8q8ZncC+cTj4DgDonQCgd84Yy3YAYKL1XXuDJMcO46tLbTqpALAM1mR0sP0hSZ4hDgDQOwFA75w9lu0AwKRbm+RXk5ybZJ04AFgOpTZfSvLKYVzfd+0NpQIAeicA6J2zxbIdAJhYfdfeMck+w3hwqc1PpQLAMjokyU+T3H7B7yMAQO8EAL1zRli2AwCTbH2SnZP8T5JXiQOA5TQcbD9oGPfuu/bOUgEAvRMA9M7ZYdkOAEykvmsfnuRPh3F1qU0vFQBWwKuT/HdGB+GPFQcA6J0AoHfOjjkRAACTpu/a7ZJ8JslvJvmHUptGKgCs4O+lRyf5wDA+otTmI1IBAL0TAPTO6eeT7QDAJHpeRgc8Lk+ylzgAWEmlNv+WpB3Gk4eD8wCA3gkAeueU84MAACZK37U3SXLkMG4otfmGVAAYA3smuSzJ/ZLsLg4A0DsBQO+cfpbtAMCkOTDJrZKclfmDHwCwokptvpVkwzAeMRykBwD0TgDQO6eYZTsAMDH6rr1nklXDuH+pzflSAWCMHJnkR0lumeQgcQCA3gkAeud0s2wHACbJCUl2SPJfSd4gDgDGSanNBUn2G8a/6rv216QCAHonAOid08uyHQCYCH3XPi7JHwzjHqU2V0oFgDH0piSfzugg/YniAAC9EwD0zull2Q4AjL2+a0uSk4bx7aU2H5cKAONoOCi/ehif2HftE6QCAHonAOid08myHQCYBC9Ncq8kFyfZWxwAjLPh4Pxbh/HEvmt3kAoA6J0AoHdOH8t2AGCs9V37K0kOGcZjS21+IBUAJsDaJBdldND+peIAgInpncfonQDonWwuy3YAYNwdnuSmSb6XZL04AJgEpTZnJjlmGA/pu/aWUgGAieidx4kDAL2TzWXZDgCMrb5rfyPJC4ZxbanNxVIBYIIcn+S7SW6S0UF8AEDvBAC9c4pYtgMA4+ykJNsn+WiSM8QBwCQZDtavHcYXDAfzAQC9EwD0zilh2Q4AjKW+a5+S5FFJNiVZVWqzSSoATJpSmzOSfGTo3ydLBAD0TgDQO6eHZTsAMHb6rt05yQnD+NpSm89JBYAJtiqjg/iP6Lv2aeIAAL0TAPTO6WDZDgCMozVJ7pzk/CQHiAOASVZq8/kkpw3jccPBfQBA7wQAvXPCWbYDAGOl79rbZf5Ax2GlNmdLBYApsC6jg/l3TrKXOABA7wQAvXPyWbYDAOPmmCQ3TPL1JK8QBwDTYDiIf+gw7td37e2lAgB6JwDonZPNsh0AGBt91z44yV8M45pSm8ukAsAUeUWSr2V0cP8YcQCA3gkAeudkmxMBADAO+q6dS/KfSR6c5P2lNo+XCgBT+PvuiUn+aRgfUmrzCakAgN4JAHrnZPLJdgBgXPxFRgc8+iRrxAHANCq1eW+S9w3jxuGgPwCgdwKA3jmBLNsBgBXXd+2Nkhw9jKeW2nxZKgBMsTUZHeR/UOYvYwsA6J0AoHdOGMt2AGAc7Jfkdkl+nORQcQAwzUptvpLklGE8Zjj4DwDonQCgd04Yy3YAYEX1XXuXJHsN47pSm3OlAsAMODSjg/23TXKAOABA7wQAvXPyWLYDACvt+CQ7JemSnCYOAGZBqc15SQ4cxjXDEgAA0DsBQO+cIJbtAMCK6bv2kUmeMox7lNpcIRUAZsjpSb6Y0cH/E8QBAHonAOidk8WyHQBYEX3Xbp/k5GF8d6nNh6QCwCwZDvavGsY/7rv2UVIBgCXrne/SOwHQO/XOxWbZDgCslBcmqUkuTfJycQAwi4aD/u8cxo3DUgAAWPzeubc4AJjh3vkuvXNpWLYDAMuu79qbJTlsGE8otfm2VACYYWuTXJLRMuCF4gAAvRMAFtneeufSsGwHAFbCwUl+JckPkxwtDgBm2XDw/8RhPHxYDgAAeicA6J1jzrIdAFhWfdfeO8lLh3HfUpufSwUAclRGy4BbZLQcAAD0TgDQO8ecZTsAsNw2JClJPpnkzeIAgKTU5sIk+w7jy4YlAQCgdwKA3jnGLNsBgGXTd+2TkjxuGFeV2mySCgD8nzdntBTYPqMlAQCgdwKA3jnGLNsBgGXRd+2OC97AvanU5pNSAYB5wzJgj2F8XN+1fyAVANA7AUDvHF+W7QDActkjyT2SXJhkP3EAwC8rtflUkjcN44nD0gAA0DsBQO8cQ5btAMCS67v2VknWDeORpTY/lAoAXKv9MloS3CPznzgAAPROANA7x4xlOwCwHI5MsmuS78S9gADgOg3LgSOHcd2wPAAA9E4A0DvHjGU7ALCk+q79zSTPH8a9Sm0ukQoAXK8NSb6d0dLgSHEAwHX2zgfonQCgd66EOREAAEul79q5JB9O8vAkHyy1+T2pAMBm/x59SpJ3JdmU5IGlNp+VCgDonQCgd44Pn2wHAJbSbhkd8LgiyWpxAMDmK7V5d5IPZnSi/EnDMgEA0DsBQO8cE5btAMCS6Lt2lyTrh/G0UpsvSgUAttjqjJYHD89omQAA6J0AoHeOCct2AGCprE1yxyTnJTlQHACw5YalwWnDuH5YKgAAeicA6J1jwLIdAFh0fdfeIck+w3hIqc1PpAIAW+3AjJYId8xoqQAAeqfeCQB65xiwbAcAlsJxSXZJ8pUkp4oDALbesDw4ZBj3GZYLAKB3jnrnl/VOANA7V4plOwCwqPqu/X9Jnj6Mq0tteqkAwDY7NaOT2HbJaLkAAHrnyBq9EwD0zpUyJwIAYLH0Xbtdkk8l+a0k7ym1+UOpAMCi/Z59XJL3DeP/K7X5uFQA0Dv1TgDQO1eOT7YDAIvpORkd8Lg8yV7iAIDFU2rz/iTvGcaTh2UDAOidAIDeuUIEBAAsir5rd01y1DBuLLX5mlQAYNHtldFy4bcyWjYAgN4JAOidK8SyHQBYLAckuXWSs5McLg4AWHzDUmHjMB41LB0AQO8EAPTOFWDZDgBss75r755kzTAeUGpzvlQAYMkckdGS4dYZLR0AQO8EAPTOFWDZDgAshhOS7JDkc0leJw4AWDqlNj/L/MGO1cPyAQD0TgBA71xmlu0AwDbpu/b3k/zRMO5RanOlVABgyb0uo2XDjhktHwBA7wQA9M5lZtkOAGy1vmtLkg3D+I5Sm/+QCgAsvWHJsGoY/6jv2sdKBQC9EwDQO5eXZTsAsC1enOQ+SS5JslYcALB8Sm0+muSMYTxpWEYAgN4JAOidy8SyHQDYKn3X3jzJocN4bKnN96QCAMtu74yWD/dJ8pfiAGDKeuct9E4A0DvHmWU7ALC1Dk9ysyTfT7JeHACw/Ialw7HDeNhwMhwATIvD9E4A0DvHmWU7ALDF+q6tSV40jPuU2lwkFQBYMeuT/CCjZcTh4gBA7wQA9M7lYdkOAGyNDUm2T/KxJG8XBwCsnGH5cNU9bF/Ud+19pQKA3gkA6J1Lz7IdANgifdc+Ocmjk2xKskepzSapAMCKe3uSj2e0lNggDgD0TgBA71x6lu0AwGbru3anJCcO4+tLbT4rFQBYecMSYo+MlhKPGZYUAKB3AgB65xKybAcAtsSaJHdJckGS/cUBAOOj1Oa/krxhGE8YlhUAoHcCAHrnErFsBwA2S9+1t01ywDAeUWpzllQAYOzsl9Fy4q5JVosDgAnunYfrnQCgd447y3YAYHMdneRGSb6R5CRxAMD4GZYSRw7jgX3X3kYqAExo79woDgDQO8edZTsAcL36rn1QkmcN416lNpdJBQDG1oYk38xoWXG0OADQOwEAvXNpzHktAADXpe/auSQfS/KQJP9SavM4qQDA2P/+/qMkbZJNSR5cavNpqQCgdwIAeufi8sl2AOD6PDOjAx5XJFkjDgAYf6U2/5DkXzM6yX7jsMQAAL0TANA7F5FlOwBwrfquvWGS9cP4ylKb/5EKAEyMNRktLR6S5BniAEDvBAD0zsVl2Q4AXJd9k9wuyU+THCwOAJgcpTZfSvKqYVzfd+0NpAKA3gkA6J2Lx7IdALhGfdfeOcnLh/HAUptzpQIAE+fgjJYXt89omQEAeicAoHcuEst2AODaHJdk5yT/neQ0cQDA5Cm1+WmSg4Zx72GpAQB6JwCgdy4Cy3YA4Jf0XfuIJE8bxlWlNr1UAGBivTqjJcbOSY4VBwB6JwCgdy6OOT97AGChvmu3S/LZJPdL8velNn8sFQCY+N/vj0nyr8P4iFKbj0gFgBX8vbR9kv/SOwFA75x0PtkOAPyiF2R0wOPSJHuJAwAmX6nNB5K0w7hxOLkOAFbK7nonAOid00C5BgD+T9+1N01y+DBuKLX5llQAYGrsmeSyJPdP8nxxAKB3AgCLbK9Z652W7QDAQgcluWWS/01ylDgAYHoMy4wNw3hk37U3kQoAeicAsIi985uz1jst2wGAJEnftb+W5K+Gcb9SmwukAgBT58gkZ2W05DhIHADonQCA3rn1LNsBgKuclKQk+XSSN4kDAKbPsNTYdxj/qu/ae0oFAL0TANA7t45lOwCQvmufkOTxw7hHqc0mqQDA1HpTks8k2SHzl/cDAL0TANA7t5BlOwDMuL5rd8jo0wVJ8pZSm09IBQCmV6nNlUlWDeMT+659vFQAWMbe+Wa9EwD0zmlh2Q4A/FWSeya5KMk+4gCA6Vdq8/Ekbx3GDcMSBACWo3fuKw4A0DunhWU7AMywvmtvleSgYTyq1OZMqQDAzNgno6XHvZK8VBwA6J0AgN65ZSzbAWC2HZ7kJkm+k+REcQDA7Ci1+UGSY4fx4L5rbykVAPROAEDv3HyW7QAwo/quvX+S3Ydx71Kbi6UCADPnuCTfTXLTJIeJAwC9EwDQOzefZTsAzK6Nw3uBD5favFMcADB7hqXH2mF8Yd+1vyEVAPROAEDv3DyW7QAwg/qu/ZMkv5vkyiSrJAIAs6vU5owkH83oGMHJEgFA7wQA9M7NY9kOADOm79pdMrp0T5KcVmrzBakAwMzbI8mmJI/ou/ap4gBA7wQA9M7rZ9kOALPn5UnulORnSdaJAwAotfl8ktOH8fi+a3eWCgB6JwCgd143y3YAmCF9194+yb7DeEipzTlSAQAGByY5P8mdk+wpDgD0TgBA77xulu0AMFvWJ7lBkq8mOVUcAMBVSm3OTnLoMO4/LEsAQO8EAPTOa2HZDgAzou/ahyR55jCuKbW5XCoAwC84JcnXktwwydHiAGALe+dD9U4AYJZ655yfJwBMv75rt0vyiSS/neS9pTZPkgoAcC3vG56U5D3D+JBSm09IBQC9EwDQO3+ZT7YDwGx4VkYHPC6Pe7ACANeh1OafkrxvGE/qu9aJ+gDonQCA3nkNLNsBYMr1XXvjzF+O5xWlNl+VCgBwPdYk6ZM8OMlfiAMAvRMA0Dt/mWU7AEy/A5LcJsk5SQ4TBwBwfUptvpLk1GE8pu/aG0kFAL0TANA7r86yHQCmWN+1d83oDMEkObDU5mdSAQA20yFJfpzktkn2FwcAeicAoHdenWU7AEy3E5PsmOQLSU4XBwCwuUptzkuybhj37Lv2LlIB4Dp65+f1TgBg1nqnZTsATKm+ax+TpBnGPUptrpQKALCFTkvyxSQ7JTleHABcR+9cpXcCALPWOy3bAWAK9V1bkmwYxjNKbT4iFQBgS5XaXJFk1TA+pe/aR0kFAL0TANA7RyzbAWA6vSjJfZNckmQfcQAAW6vU5kNJ3jWMG/uu3V4qAOidAIDeadkOAFOn79qbJzlsGI8rtfmOVACAbbR3kkuT1CQvFAeA3ql3AgB6p2U7AEyjQ5PcPMmZSY4RBwCwrUptvp3khGE8rO/am0kFQO/UOwGAWe+dlu0AMEX6rv31JC8exrWlNhdJBQBYJEcl+WGSX0lysDgA9E69EwCY9d5p2Q4A02VDku2T/GeSt4kDAFgspTYXJtl3GF/Wd+29pQKgd4oDAJjl3mnZDgBTou/aJsljk2xKskepzSapAACL7M1JPpnRkmWDOAD0TqkAALPcOy3bAWAK9F27Y+bvZ/PGUpvPSAUAWGzDUmXVMD6u79onSQVA7wQAmNXeadkOANNhTZK7Jfl5kv3EAQAslVKbTyZ50zBuGJYvAOidAAAz1zst2wFgwvVde+skBwzjEaU2P5IKALDE9ktyYZJ7JNlDHABT3ztvo3cCAHrnL7NsB4DJd3SSGyf5ZpKTxAEALLVSmx8mOXIY1/VdeyupAEy1o/ROAEDv/GWW7QAwwfqufWCS5wzjy0ttLpUKALBMNiT5TpJdM38ABAC9EwBgZnrnnJ8RAEymvmvnkvxHkocm+UCpzWOlAgAs8/uRpyR5V5JNSX6r1OZzUgHQOwEAZqV3+mQ7AEyup2d0wOOKJKvFAQAst1Kbdyf5YEYn828cljIA6J0AADPROy3bAWAC9V17gyTHDeNfl9p8SSoAwApZndES5uFJdhMHgN4JADArvdOyHQAm0z5Jbp/k3CQHiQMAWCmlNl9Mctowru+7dhepAOidAACz0Dst2wFgwvRde6cka4fxoFKbn0oFAFhh65Kcl+SOSfYWB8BU9c51eicAoHdeM8t2AJg865PsnORLSf5aHADASiu1+XGSQ4Zx375r7yAVgKnpna8WBwAwJr3z0HHrnZbtADBB+q793czfk2ZNqU0vFQBgTJya5CtJdsn8PX4B0DsBABbLKQt65/px+ILm/EwAYDL0Xbtdks8k+c0kbanNk6UCAIzZ+5XHJXnfMP6/UpuPSwVA7wQAmNbe6ZPtADA5np/RAY/LkuwlDgBg3JTavD/JPw3jycPSBgC9EwBgKnun0gsAE6Dv2pskOXIYTyq1+aZUAIAxtWeSy5P8VpJniwNA7wQAmNbeadkOAJNhXZJbJjkryRHiAADGVanN15KcPIxH9117Y6kA6J0AANPYOy3bAWDM9V17zyR7DOO+pTYXSAUAGHOHJzk7ya2THCgOAL0TAGAae6dlOwCMvw1JdkjymSRvEgcAMO5KbX6W+YMdq/uuvbtUAPROAIBp652W7QAwxvqufXySJw7jqlKbK6UCAEyI1yb5XJIdkxwvDgC9EwBg2nqnZTsAjKm+a0tGny5IkreV2nxcKgDApBiWNauHsem79rFSARi73rmD3gkA6J1bz7IdAMbXy5LcK8lFSdaKAwCYNKU2H0lyxjBuGE4mBGB8vFTvBAD0zq1n2Q4AY6jv2lsmOXgYjy21+YFUAIAJtXeSS5L8epK/FAeA3gkAMC2907IdAMbTYUlumuS7SY4TBwAwqUptvpdk/VXvcfquvblUAPROAIBp6J2W7QAwZvqu/Y0kLxzGtaU2F0sFAJhwxyY5M8nNMlruAKB3AgBMfO+0bAeA8XPy8Dv6o6U2Z4gDAJh0pTYXZXRZvyT5y75rf10qAHonAMCk907LdgAYI33XPjXJI5JsSrKHRACAKfL2JB9Psn2Sk8QBoHcCAEx677RsB4Ax0XftzkmOH8bTS20+LxUAYFqU2mxKsiqj5c5j+q59slQAVrR3nqZ3AgB657axbAeA8bFXkjsnOT/JgeIAAKZNqc1nkrxhGI/vu3YnqQCsWO9cJw4AQO/cNpbtADAG+q69fZL9hvHQUpuzpQIATKn9k1yQ5G5JVosDQO8EAJjU3mnZDgDj4egkN0zytSSniAMAmFalNj9KcuQwHtB37W2kAqB3AgBMYu+0bAeAFdZ37e8k+YthXFNqc5lUAIAptyHJN5PcOKPlDwB6JwDAxPXOOTkDwMrpu3YuySeSPCjJ+0ptniAVAGBG3gc1Sf4+yaYkDxruqweA3gkAMDG90yfbAWBl/UVGBzz6JGvEAQDMilKbNskHMvogwMnDMggAvRMAYGJ6p2U7AKyQvmtvlOSYYTyl1OYrUgEAZszqJFckeUiSp4sDQO8EAJik3mnZDgAr54Akt03y4ySHigMAmDWlNl9K8qphPK7v2htIBUDvBACYlN5p2Q4AK6Dv2rtk/vJ9B5banCcVAGBGHZzk3CS3T7KvOAD0TgCASemdlu0AsDJOSLJTki8mOV0cAMCsKrX5aZJ1w7h337V3kgqA3gkAMAm907IdAJZZ37WPSvLHw7iq1OYKqQAAM+7VSb6UZOck68UBsM298/f0TgCApe+dlu0AsIz6ri1JNg7jO0ttPiQVAGDWldr0SVYP42591/6uVAC2qXeepHcCACx977RsB4Dl9YIkNcklSdaKAwBgpNTmA0naYdzYd61jFgB6JwDAWPdOxRUAlknftTdLcvgwnlBq822pAABczV5JLkty/yTPFweA3gkAMM6907IdAJbPIUlukeSHSY4WBwDA1ZXafDPzlz4+su/am0gFQO8EABjX3mnZDgDLoO/aeyd56TDuU2pzoVQAAK7REUnOSnLLJOvEAaB3AgCMa++0bAeA5XFSku2TfDLJW8QBAHDNSm0uSLLvMO7Rd+09pQKwRb3zE3onAMDy9E7LdgBYYn3X/mGS37/qF3epzSapAABcpzcl+UySHZJsEAfAFvXOVXonAMDy9E7LdgBYQn3X7pjkhGF8Y6nNp6QCAHDdSm2uTLJqGJ/Yd+3jpQKgdwIAjFvvtGwHgKW1Ksk9kvw8yf7iAADYPKU2H0/ytmHc0HdtkQqA3gkAME6907IdAJZI37W3TnLgMB5VavNDqQAAbJG1SS5Kcq8kLxMHgN4JADBOvdOyHQCWzpFJdk3y7SQnigMAYMuU2vwgybHDeHDftbeUCoDeCQAwLr3Tsh0AlkDftQ9I8rxh3KvU5lKpAABsleOSfDfJTZMcJg4AvRMAYFx655zsAGBx9V07l+QjSR6W5N9LbR4tFQCAbXp/9adJ3p7kyiS/WWrzRakAeqfeCQCw0r3TJ9sBYPH9aUYHPK5IslocAADbptTmHUk+mtFxjI0SAdA7AQDGoXdatgPAIuq7dpck64fxNaU2nVQAABbFHkk2JXlk37VPFQegd+qdAAAr3Tst2wFgce2T5FeTnJdknTgAABZHqc3nk5w+jMf3XbuzVAC9U+8EAFjJ3mnZDgCLpO/aX02ydhgPLrX5iVQAABbVgUnOT3LnJHuKA5jB3nlHvRMAYHx6p2U7ACye9Ul2SfI/SV4pDgCAxVVqc3aSw4Zx/75rbycVYMYcq3cCAIxP77RsB4BF0Hftw5I8fRj3LLXppQIAsCRekeRrSW6Y5BhxAHonAABL0Du/vjm9c05WALBt+q7dLsmnkzwgyT+W2vyRVAAAlvT915OSvGcYf6fU5pNSAfROAACWu3f6ZDsAbLvnZnTA4/K4dygAwJIrtfmnJO8bxo191/owAaB3AgCw7L3Tsh0AtkHftbsmOWoYTyq1+YZUAACWxZ5J+iQPTvIX4gD0TgAAlrt3WrYDwLY5MMmtkpyd5AhxAAAsj1KbLyc5dRiP7rv2RlIB9E4AAJazd1q2A8BW6rv2HklWD+P+pTbnSwUAYFkdmuTHSW6XZD9xAFPeO/fTOwEAxqt3WrYDwNY7IckOST6b5PXiAABYXqU25yZZN4x79V17F6kAU9w73yAOAIDx6p2W7QCwFfqufVySPxzGVaU2V0oFAGBFnJakS7JTkuPFAeidAAAsV++0bAeALdR3bUly4jC+vdTmP6QCALAySm2uSLLHMD6l79pHSgXQOwEAWI7eadkOAFvuJUnuk+TiJGvFAQCwskptPpTk3cN4ct+120sF0DsBAFjq3llEw3Lpu/alSX5bEsAUqMOfc0kuEwcAwFi4aPjzTkle33etyy0D09A7y9A9AQAYn965U0Yfar/CGzWWRd+1907yxTjBA5g+Z5Ta/KkYAABWtHP+TpL/lAQwpf6r1OaBYgAAGJve+aRSm/cmzopk+V6A70vyuCRd5i+xADDJXpjktsPjB5ba/JdIAABWpG/OJflEkgcNT21KcmySS6UDTLhHJ3nY8PgJpTbvEwkAwIr3zveV2jzhqv/Nsp3leAE+Kcl7hvF3Sm0+KRVgCv7b9tgk/zKMXZL7ldpskgwAwLK/L3tWkjdmtGSfS3Jaqc0LJQNMwX/fdkxybpIbJDk7yW30TgCAFe2dfZJaavOVq/637cTDMpSCDcP4NxbtwLQotfnXJB8cxprkGVIBAFj2znmjJMcM41yS85McKBlgSnrnZUnWDuOtkhwgFQCAFe2dpyxctCeW7Sy9v0pyjyQXJtlXHMCUeWGSK6/6Jdt37Q1EAgCwrA7I6NY+V33S87BSm7PFAkyLUptTk3x/GNf1XXtDqQAArEjv/HGSQ3/xf7RsZ8n0XXurJAcN45GlNj+UCjBNSm2+keSUYbxZknVSAQBYts55lyRrhnEuydeSvEIywBTabfhzxyR/Iw4AgBXpnQeW2pz3i/+MZTtL6cgkuyb5TuYvJQ8wbdYluWB4/PK+a+8oEgCAZXFCkp0WzHsOl1wGmCqlNp9I8qFhfHLftfeSCgDAsvbOLyY5/Zr+Act2lkTftb+Z5PnDuFepzSVSAaZRqc35Sfa8akzyKqkAACx553xUkj9e8NT7Sm3+STLAFNstyRUZXcnjXeIAAFjW3rmq1OaKa/rnLNtZihffXJKNw5v/D5bavFsqwJR7XZKvD4+f2Hftw0UCALBknXP7oXP+31OZP/kRYCqV2pyT5JXDeJ++a3eTCgDAsvTOd5XafOja/lnLdpbCbkkentHZtqvFAUy7Upsrkzx3wVOv77vW71gAgKXxwiQ1yaZhPrXU5stiAWbAnknOHx6/Wu8EAFjy3nlJkr2v6x/0hoxF1XftLknWD+NppTZflAowC0ptPpbkPcN4tyS7SwUAYNE7582SHD6Mc0l+nOQQyQAz0jv7JC8dxpsmOVYqAABL2jtPLLX59nX985btLLa9k9wxyXlJ1okDmDEvzugypklyQt+1u4oEAGBRHZzkFpn/VPu6UpvzxALMilKbN2f+Nmarh4PBAAAsfu/8YZKjru8ftmxn0fRde4ck+w7jIaU2P5YKMEtKbX6Q5LhhvNHm/CIGAGCzO+e9k7xsGOeSfDHJaZIBZtBTMzrpqCR5hzgAAJakd+5banPh9f1/LNtZTMcl2SXJV5KcKg5gRh2e5KfD4xf3XXtPkQAALIoNSbZfMK8qtblCLMCsKbXpkvzzMD6279oHSgUAYFF75yeTvHlz/g+W7SyKvmsfmuTpw7h6uIcUwMwptbk48/fQ2y7Ja6QCALDNnfNJSR634Kl3ldp8SDLADHtGksuHx2eIAwBgUXvnqlKbTZvz/7NsZzFefNslOXkY31Nq836pADPuHUm+MDx+RN+1jxMJAMBWd84dM/p0wVUuSbK3ZIBZVmpzfpJjh/EufdfuLhUAgEXpnW8qtfnk5v5/LdtZDM9J8lsZnU27lziAWTec8fa8BU+d3ndtkQwAwFbZI8k9Mro/cZKcWGrzbbEA5KAkPxkeb9A7AQC2uXdemGS/Lfk/WrazTfqu3TXJUcO4sdTma1IBSEptPpvkbcN4hySrpQIAsMWd81ZJ1g3jXJIfLuigALPeOxee6H2jJKdKBQBgm3rnkaU2P9yS/79lO9vqgCS3TnJ2kiPEAXA1a5JcOjw+vO/aW4gEAGCLHJlk1wXzvqU2F4oFYKTU5h+SfHEYd++79jZSAQDYqt75nVz9FmabxbKdrdZ37d0zWiQlyQGlNj+TCsC8Upuzkhw6jDtvzS9qAIAZ7py/meT5C576ZJI3Swbglzwlo1ttbJfkXeIAANiq3rlXqc0lW/p3WLazLU5IskOSzyV5nTgArvW/lT8aHv9537W/IRIAgOvWd+1cko0ZXTr+KnsMl0wGYIFSm28mOWMYH9p37SOlAgCwRb3zg6U2796av8eyna19AT42yR8N46pSmyulAvDLSm0uS/LCYZyLk5MAADbHbkkevmB+U6nNp8QCcK2em+SqT2K9RRwAAJvdO69Isnpr/xLLdrZY37UlyUnD+I5Sm49KBeDaldr8Y5JPDONv9V37VKkAAFxr59wlyfoFT/08yX6SAbjO3nlxkoOH8XZ91+4lFQCAzeqdp5XafHFr/y7LdrbGi5PcJ6OzZdeKA2CzPC+je+glyav6rt1ZJAAA12jvJHdc8N7pqFKbH4oF4LqV2qxP8r/DeITeCQBwvb3zvCTrtuUvsmxni/Rde/Mkhw7jsaU235MKwPUrtflyktOH8ZZJ9pEKAMAvdc47JNl3GOeSfDvJBskAbLZnDn/uHLcxAwC4vt55aKnNj7fl77NsZ0sdnuRmSb6fq1/WD4Drt0+Si4bHB/RdezuRAABczfokuyyYX15qc4lYADZPqc2HMn8bs6f3XXtXqQAAXGPv/EqSU7b1L7NsZ7P1XVuTvGgY9ym1uUgqAJuv1ObczJ8xt0OSV0gFAOD/OudDkzxjwVMfLLV5t2QAttjTklyZ0RVC3iUOAIBr7J2rS236bf07LdvZEhuSbJ/kY0neLg6ArfKqJN8ZHj+l79oHiQQAmHV9126X5OQFT12RZJVkALZcqc2Zmb+E/P37rn2SVAAAvfNqvfOfSm3evxh/r2U7m/sCfHKSRyfZlGRVqc0mqQBsueFMuecveOoNfdfOSQYAmHHPTvJbQ+dMktNKbTqxAGy1lyS5cHj8Rr0TAOD/euflSfZcrL/Usp3r1XftTklOGMbXl9r8l1QAtl6pzb8n+cAw3jvJs6QCAMxw57xxkqOHcS7JeUkOlAzANvXOhQeRb5HkUKkAAHpnkuTkUpuvLdbfbdnO5liT5K5JLkiyvzgAFsULM7o8apJs7Lv2hiIBAGbUgUlunflPtR9cavMTsQBsm1Kb12T+Nmb7DgeZAQBmuXeek+TwxfyLLdu5Tn3X3ibJAcN4RKnNWVIB2HalNt9O8ophvEmSw6QCAMxg57xbktXDOJfky0leKRmARbPb8OcOSd4qDgBgxnvnAaU2P1vMv9+ynetzTJIbJflGkpPEAbCo1iW56hf7qr5r7yISAGDGnJBkxwXzmlKbXiwAi6PU5tNJ/m0Yn9R37X2lAgDMaO/8XJLXLvZfbtnOteq79kGZv4/wXqU2l0kFYPGU2vw8o1t1JMn2Sf5aKgDADHXOxyZpFjz1j6U275cMwKLbLUmf0RVE3ikOAGBGe+fqUpsrF/vfYdnOtb345jL6JPtckn8ptfkHqQAsiTck+crw+Pf7rn2kSACAGeicJcmGBU9dnmQvyQAsvlKbnyY5eRh/re/aZ0gFAJix3nlGqc1HluLfY9nOtXlmkockuSLJnuIAWBqlNpuSPHfBU6/ru3Z7yQAAU+5FSX49yaZh3lhq83WxACyZvTN/G7O/1jsBgBnqnZckWbtU/xLLdn5J37U3TLJ+GF9ZavMlqQAsnVKbTyT5+2G8S5K/lAoAMMWd8+ZJDh/GuSRnL5gBWJreeWVGB5yTZNeM7l0KADALvXN9qc13l+rfZdnONdk3ye2S/DTJweIAWBYvy+jyqUlybN+1NxUJADClDktys8x/qn3/UpvzxQKwtEpt3pH525i9rO/aX5EKADDlvfPMJMcu5b/Isp2r6bv2zklePozrSm3OlQrA0iu1OTPJ0cO48AojAADT1Dl/PfNX8ZlL8rkkr5cMwLJ5akYnO22f5AxxAABT3jv3LrW5aCn/fZbt/KL1SXZO8t9JXiMOgGV1dJIfD4+f33ftvUQCAEyZkzJa8Fxlj+HSxgAsg1Kb/0nyD8P4qL5rHywVAGBKe+d/Jnn7Uv/LLNv5P33XPiLJnwzjqlKbXioAy6fU5pIkL1nwO/q1UgEApqhzNkkes+Cpt5fa/IdkAJbdnye5bHj8DnEAAFPYOzdldHL3pqX+d1q2c9WLb7skG4fx70tt/l0qAMuv1OZvM7qcapI8tO/aJ0kFAJiCzrljkhMWPHVxkn0kA7AivfPnSY4axjv1XftiqQAAU9Y731hq85nl+PdatnOVFyS5X5JLk+wlDoAV9dyMzrxLktOGNwkAAJNsTZK7LXiPs77U5ntiAVgxhyU5Z3h8vN4JAExR77wgyX7L9S+1bCd91940yeHDuKHU5ltSAVg5pTZfSPKWYbzt8CYBAGBSO+dtkhwwjHNJvp9kvWQAVrR3bkrynGG8QZJXSQUAmJLeeWSpzY+W699t2U6SHJTklkn+N/OXkAJgZe2Z5JLh8aF9195KJADAhDoqyY0XzGtLbS4SC8DKKrV5b5LPDuNz+q69vVQAgAnvnd9MctJy/ost22dc37W/luSvhnH/UpsLpAKw8kptzkmybhh3SrJBKgDABHbOB2b+k5NJ8rEk75AMwNh4SpIrMzpO/G5xAAAT3jtfXmpz6XL++y3b2ZCkJPl0kjeKA2CsbEzyw+HxM/uuvb9IAIBJ0Xft3PB+Zm54alOSPYZLFwMwBkptvpvkbcP4oL5rHy0VAGBCe+cHSm3+frm/Bsv22X4BPiHJE4bRAQ+AMVNqc3mS3Rc89QapAAAT5OlJHrpgfl2pzWfFAjB2np/k4uHxW8QBAExg77wiyZqV+AIs22dU37U7ZP6eBW8ptfmEVADGT6nNPyf56DDer+/ap0sFAJiAznmDJOsXPHVBkgMkAzCWvfPSJPsP4637rt1PKgDAhPXOvy61+e+V+Dos22fXy5LcM8lFSfYRB8BYe0FG99BLklP6rt1FJADAmNsnyR0yunR8khxeanOWWADGU6nNSUnOHMaDh4PXAACT0DvPTXLQSn0Rlu0zqO/aWyU5eBiPKrU5UyoA46vU5qtJXjOMt0hyoFQAgDHunHdMsnYY55J8PaN76AEw3p45/LlTkjeKAwCYkN55UKnNT1fqa7Fsn02HJ7lJku8kOVEcABNh3yQ/Hx7v3XftHUQCAIyp45LsvGDeq9TmMrEAjLdSm48k+dgwPrXv2ntIBQAY8975P0n+eiW/EMv2GdN37f2T7D6Ma0ttLpYKwPgrtflZkr2HcYckr5QKADCGnfPhSXZb8NS/lNr8o2QAJsZTklyR0ZVJ3i0OAGDMe+fqUpt+Jb8ey/bZs3H4uX+41OZvxQEwUV6T5FvD4z/su/ahIgEAxkXftdvl6peLvyLJGskATI5Sm7Mzfxuz+/Zd+8dSAQDGtHe2pTb/utJfk2X7bL0A/yTJ7ya5MskqiQBMllKbK5M8d8FTrx/eXAAAjIPnJfnNJJuG+dRSm/8RC8DE2SPztzE7Xe8EAMbI84feeVmSl4/DF+SN0ozou3aXjO5fkCSnl9p8QSoAk2e4h977hvGeSZ4jFQBgDDrnTZIcOYxzSX6a5BDJAExk7+wz/0Gdmyc5XCoAwJj0ziOG8aRSm2+Mw9dl2T479kpypyQ/S3KgOAAm2ouTXHUfmpP6rr2xSACAFXZgkltl/lPtB5banCsWgMlUavO6JN8cxrXDwW0AgHHonWdl/mTvFWfZPgP6rr19kv2G8ZBSm3OkAjC5Sm2+k+TEYbxx5s/mAwBYic55z8x/AnIuSZfkNMkATLw/uaqGJnm7OACAMemd+5fanD8uX5tl+2xYn+QGSb6a5FRxAEyFw5KcNzx+ad+1dxMJALBCTkiyw4J59XAJYgAmWKnN55K8fxgf13ft/aQCAKxw7/yvJG8Ypy/Msn3K9V37kCTPHMY1pTaXSwVg8pXaXJjkr4Zx+ySvkQoAsAKd83FJ/mDBU39XavPvkgGYGk/P6DZmc0neKQ4AYIV75x6lNleO09dn2T7dL77tkmwcxveW2vyzVACmyluSfGl4/Ht91z5WJADAMnbOkuSkBU9dmuTlkgGYHqU252X0SbIkuXvftc+WCgCwQr3z7aU2Hx+3r9Gyfbo9K8lvJ7k8yZ7iAJgupTabkjx3wVOnD28+AACWw0uT3CvJpmHeUGrzLbEATJ39k5w7PH6F3gkArEDvvDjJ3uP4BVq2T6m+a2+c5OhhPKXU5qtSAZg+pTafTvKuYbxjkpdIBQBYhs55iySHDONckv9NcqRkAKayd16Z5AXDeONc/aomAADL0TuPLbX5wTh+nZbt02v/JLdJck6SQ8UBMNVeluSy4fExfdfeXCQAwBI7IslNF8z7ldr8XCwA06nU5l2Zv43ZX/ZdeyupAADL1Du/n2T9uH6Rlu1TqO/au2b+svEHltr8TCoA06vU5kfDG48k2SXJ8VIBAJawc9bMf8IxST6V5E2SAZh6T8no1iHbJ3mnOACAZeqde5faXDyuX6tl+3Q6McmOSb6Q5HRxAMyE9UnOHh4/p+/aXxcJALBENma0aLnKqlKbTWIBmG6lNl9L8u5hfHjftf9PKgDAEvfOjyY5Y5y/UMv2KdN37aOTNMO4x3BPJQCmXKnNpUn+chjnkrxWKgDAEnTOpyR51IKn3lxq8wnJAMyMZ2X+NmZvFwcAsIS9c1OS1eN+crdl+3S9+EqSk4bxjFKbj0gFYHaU2vxdkk8P44P7rn2yVACAReycO+fqt6u5MMm+kgGYqd55UZJDhvEOfdfuIRUAYIl652tLbT477l+zZft0eVGS+ya5JMk+4gCYSc/P6Iy/JPnrvmt3EgkAsEjWJLnLgvcaR5fanCkWgJlzTJKzrnqsdwIAS9A7z09y4CR8wZbtU6Lv2psnOWwYjyu1+Y5UAGZPqU2X5I3DeOske0sFAFiEznm7JPsP41yS7yQ5QTIAM9k7NyX5i2HcJclpUgEAFrl3Hl5qc9YkfN2W7dPj0CQ3T3JmkmPFATDT9kpy8fB4Xd+1txEJALCNjkpyowXz3qU2l4gFYDaV2vxr5m9j9md9195JKgDAIvXOryc5eVK+aMv2KdB37a8nefEwri21uVAqALOr1OanmT8DcMckG6UCAGxD53xQkmcveOrDpTbvlAzAzHtqkiszOsb8LnEAAIvUO/cstblsUr52y/bpsCHJ9kn+M8nbxAFAklOSfH94vFvftQ8UCQCwpfquncvVP1FwZZI9JANAqc33k/zNMP5W37VPkAoAsI29819Kbd4zSV+/ZfvkvwD/KMljk2xKsmq4ZxIAM67Upk+y+4KnXj+8aQEA2BJ/luTBC+bTSm2+KBYABi9MctHw+I16JwCwDb3ziiSrJ+2Lt2yfYH3X7pjkxKvezJbafFoqAFyl1OZfknxoGO+b5BlSAQC2oHPeMMmxC546L8k6yQCwoHdelmTvYbxlkgOkAgBsZe88tdTmy5P2PVi2T7Y1Se6W5OdJ9hMHANfgBRld7jVJTum79gYiAQA2035JbpfRldSS5NBSm3PEAsBCpTavTPK9YVw3HDQHANiS3vmTJIdM4jdg2T6h+q69debPFD2i1OZHUgHgF5XafCOj+7cnyc2SHCwVAGAzOuddkuw1jHNJvpLkVMkAcC3+dPhzxyRvFgcAsIW9c12pzbmT+H1Ytk+uo5PcOMk3k5wkDgCuw7okFwyP9+y79k4iAQCux/okOy+Y9yy1uVwsAFyTUptPZP42Zk3ftfeWCgCwmb2zS3LapH4Tlu0TqO/aByZ5zjC+vNTmUqkAcG1Kbc5PsudVY5JXSgUAuI7O+cgkT1vw1HtLbf5ZMgBcj92SXJHRFVHeJQ4AYDN75+pSm35SvxfL9sl78c0l2Ti8af1Aqc3fSwWAzfC6JF8fHj+x79rfFQkAcA2dc/tc/epplydZIxkArk+pzTmZv+XIvfuu3U0qAMD19M6/K7X590n+fizbJ8/Tkzw0o7NEHfAAYLOU2lyZ5LkLnnpd37XeBwAAv2j3JPdLsmmYX1Fq8zWxALCZ9kpy/vD41XonAHAdvfPSJC+f9G/Gm50J0nftDTK6f0GS/HWpzX9LBYDNVWrzsSTvGca7JXmBVACABZ3zpkkOH8a5JOckOUwyAGxB7+yTvHQYb5r5Y5kAAL/YOzeU2nxr0r8ny/bJsk+SOyQ5N8lB4gBgK7wkyVX3vzm+79qbiAQAGByc5JaZ/1T7AaU2PxMLAFui1ObNmb+N2aq+a28uFQDgF3rn/yY5chq+Icv2CdF37R2TrB3Gg0ptfioVALZUqc33kxw3jDdKcpRUAIC+a38tycuGcS7J55O8VjIAbKWnZnTyVknydnEAAL/QO/crtfn5NHxflu2T47gkOyf5UpK/FgcA2+DwJFedtPWXfdfeUyQAMPNOymghcpVVpTZXigWArVFq0yV57zA+tu/aB0oFAPTOoXd+OsmbpuWbsmyfAH3X/m6S3YZxzXDvIwDYKqU2F2f+HnrbJTldKgAw053zCUkev+CpM0ptPiIZALbRM5NcftXvFnEAgN45jHuU2myalu/Nsn38X3zbZXSmR5K0pTb/KhUAFsE7knxxePzwvmsfLxIAmMnOucOCzpkkl2T+FmYAsNVKbc5Pcuww3qXv2t2lAgAz3zvfXGrziWn6/izbx9/zk/xmksuSvFwcACyG4czB5y546vThTQ8AMFteluSeGd1XN0mOK7X5rlgAWCQHJfnJ8PikvmuLSABgZnvnRUn2nbZvzrJ9jPVde5MkR1z1ZrTU5htSAWCxlNp8Nsnbh/H2SVZJBQBmqnPeKsnBwziX5Mwkx0gGgEXsnZuSPG8Yb5jkVKkAwMz2zqNKbc6ctu/Rsn28rUtyqyRnZX7pDgCLaXWSS4fHh/dde0uRAMDMODzJTRbMe5faXCQWABZTqc0/JPnCMO7ed+3tpAIAM9c7v5PkxGn8Bi3bx1TftfdMsscw7ldqc4FUAFhspTZnJTlsGHdOcoJUAGAmOuf9kyy8d+5/Zv6KNwCw2J6a0S1Ltkvyt+IAgJnrnWtLbS6exu/Tsn18nZhkhySfSfJGcQCwhI5P8r/D4z/vu/Y3RAIAU++kBccENiXZY7jULwAsulKbbyY5Yxgf2nftI6UCADPTOz9cajO1J9tZto+hvmsfn+RJw7iq1OZKqQCwVEptLkvyomGcS/J6qQDAVHfOP0nyiAVPvaHU5jOSAWCJPTfJJcPjt4oDAGaid16ZZNU0f6+W7eP34itJNgzj20ptPi4VAJZaqc0/ZnT52CR5QN+1T5MKAExl59wlyXELnrogyf6SAWAZeufFSdYN4237rt1LKgAw9b3z9FKbL0zz92vZPn5eluReSS5KslYcACyj52d0GdkkeVXftTuLBACmzl5J7rTgd/6RpTY/EgsAy6HUZuFtzI7QOwFgqnvnz5IcOO3frGX7GOm79pZJDh7GY0ttfiAVAJZLqc2Xk5w+jL+SZF+pAMBUdc7bJ9lvGOeSfDOje+gBwHL6s+HPnZO8ThwAMLW989BSm3Om/Xu2bB8vhyW5aZLv5uqX9QOA5bJPRldXSZL9hzdHAMB0ODbJDRbMe5XaXCoWAJZTqc0Hk3xiGJ/ed+3dpAIAU9c7v5bklFn4hi3bx0Tftb+R5IXDuM9wDyMAWFalNudm/hPtOyR5hVQAYCo65+9k/pOESfKBUptWMgCskKcluTKjK628UxwAMHW9c3WpzeWz8H1bto+PjcPP46OlNu8QBwAr6FVJvjM8/uPhTRIAMKH6rp1LcvKCp65IsloyAKyUUpszk7x2GO/fd+0fSgUApqZ3/nOpzT/Pyvdu2T4eL8CnJnlkkk1J9pAIACup1KZP8vwFT71ueLMEAEymZyf57QXzq0ptviQWAFbYS5NcODx+vd4JAFPRO/ska2bpG7dsX2F91+6c5PhhPL3U5vNSAWClldr8e5IPDOO9hzdLAMDkdc4bJzlqwVPnJjlYMgCMQe+8PMmew3iLJIdKBQAmvne+otTmq7P0/Vu2r7w9k9w5yflJDhQHAGPkRRldZjZJTuq79kYiAYCJs3+S22Z0JbUkWVdq81OxADAOSm1ek/nbmO07HKwHACazd56T5LBZ++Yt21dQ37W3H16ASXJoqc3ZUgFgXJTafCvJK4bxJrP4RgkAJrxz3jXzl++bS/LfSV4tGQDGzG7DnzskeZs4AGBie+e6UpvzZi0Dy/aVdXSSGyb5WpJTxAHAGFqX5GfD4z36rr2LSABgYhyfZKcF85pSm14sAIyTUptPJ/m3YXxi37X3lQoATFzv/EKS02cxAMv2FdJ37e8k+Yth3LPU5jKpADBuSm1+nvkzE7ePT8MBwKR0zt9L8scLnmpLbT4gGQDG1G5J+oyuxPIucQDAxPXOVaU2V8xiDpbtK/Pim0ty0jC+r9Tmn6QCwBh7Q5KvDI8f23fto0QCAGPdOUuSjQueuizJXpIBYFyV2vw0ycnDeM++a58pFQCYmN75zlKbD89qFpbtK+Mvkjw4o7M114gDgHFWarMpyXMXPPW6vmu3lwwAjK0XJLlvkk3DvKHU5ptiAWDM7Z3525i9Su8EgInonZcMv8NnlmX7Muu79kZJjhnGU0ttviIVAMZdqc0nkvz9MN45yYulAgBj2TlvluSIYZxLclaSIyUDwAT0ziuTvGgYd01yglQAYOx75wmlNt+Z5Tws25ff/klum+THSQ4RBwAT5GVJLh8eHzO8qQIAxsshSW6e+U+171tqc4FYAJgEpTbvSPLlqzpo37W3lAoAjG3v/GGSo2c9DMv2ZdR37V2S7DmMB5banCcVACZFqc2ZC9483TDJsVIBgLHqnPdJ8tJhnEvy6SRvkgwAE+ZpGZ00tn2Sd4gDAMa2d64ttblw1jOxbF9eJyTZKckXk5wuDgAm0DEZXZ0lSXbvu/beIgGAsbEho8XEVVYPl+QFgIlRavM/Sf5hGB/Vd+2DpQIAY9c7P5HkreKwbF82fdc+KskfD+OqUpsrpALApCm1uTjJS4ZxLk4eA4Bx6Zx/mOT3Fzz11lKbj0sGgAn150kuGx6fIQ4AGLveuarUZpNULNuX68VXkmwcxneW2nxIKgBMqlKbv03y2WF8aN+1fyAVAFjRzrljRldSu8pFSfaRDAAT3Dt/nuTIYbxj37UvkQoAjE3vfGOpzaekMmLZvjxekKQmuSTJWnEAMAWel9E99JLkNcObLQBgZaxKco8Fv5uPKbX5gVgAmHCHJzlneHyc3gkAY9E7f55kf3HMs2xfYn3X3mx4Y5gkJ5bafFsqAEy6UpsvJHnLMN42yV5SAYAV6Zy3TnLgMM4l+W6S4yUDwBT0zk1JnjOMN0jyaqkAwIr3zqNKbX4olXmW7Uvv4CS3SPLDJEeJA4ApsmdGV21JkoOHN10AwPI6MsmuC+a1pTYXiwWAaVBq897M38bsWX3X3l4qALBivfPbSU4Ux9VZti+hvmvvneRlw7hPqc2FUgFgWpTanJNk3TDulGSDVABgWTvnAzK6tctVPlJqc4ZkAJgyT0lyZUbHst8tDgBYsd65V6nNpVK5Osv2pXVSku2TfDLzl9oFgGmyMaOrtyTJM4Y3XwDAEuu7dm74PTw3PLUpo3voAcBUKbX5bpK3DuOD+q59jFQAYNl75wdLbf5OKr/Msn3pXoB/kOT3h3GP4R5DADBVSm0uT7L7gqdeN7wJAwCW1m5JHrZgPq3U5vNiAWBK7Z7525i9We8EgGXtnVfEyd3XyrJ9CfRdu2Pm71nwxlKbT0kFgGlVavPPSf5jGO+X5E+lAgBL2jl3SXLcgqd+lvlbuwDANPbOS5PsO4y3TrKPVABg2XrnaaU2nVSumWX70liV5B5Jfp5kf3EAMAN2z+geekly6vBmDABYGmuT/GpGl45PksNKbc4WCwDTrNRmY5Izh/GQvmtvIBUAWPLeeV6SA8Vx7SzbF1nftbde8KI7qtTmh1IBYNqV2nw1yauH8ebx6ToAWKrO+auZ/zTfXJKvJXmFZACYEc8Y/twpyZvEAQBL3jsPLrX5iVSunWX74jsiya5Jvp1kgzgAmCH7ZXRVlyTZu+/aO4gEABbd+iQLryCzptTmcrEAMAtKbT6a+duYPaXv2ntIBQCWrHd+OckrxXHdLNsXUd+1D0jy/GHcq9TmEqkAMCtKbX6W0eWFkqQkeZVUAGBRO+f/S/L0BU+9r9TmvZIBYMY8LckVGV3h5d3iAIAl651rSm16qVw3y/bFe/HNJdk4vMn7YKnN30kFgBn06iTfGh7/wfDmDADY9s653dA5/++pJKslA8CsKbU5K8lrhvG+fdc+RSoAsOi98z2lNu+XyvWzbF88uyV5WEZnVa4SBwCzqNTmyiTPW/DU64Y3aQDAtnlOkt9aMJ9SavNVsQAwo/ZIcsHw+DS9EwAWtXdenmRPcWweb0IWQd+1uyQ5bhhfU2rTSQWAWVVq8+Ek/zyM98zVl+8AwJZ3zl2THL3gqXOSHCoZAGa4dy68wsvNkxwpFQBYtN65sdTm61LZPJbti2OfJL+a5Lwk68QBAHlJRpe3TZIThzdrAMDWOSDJrZJsGuZ1pTbniQWAWVZq87ok3xzGl/dde1OpAMA2986zkxwujs1n2b6N+q791SRrh/HgUpufSAWAWVdq850kG4bxxt6gAcBWd867J1kzjHNJvpDkdMkAQJLkaVfV0CRvEwcAbHPvPKDU5nypbD7L9m23PskuSf4nySvFAQD/59CMrvqSJC8b3rQBAFvmhCQ7LJhXl9pcIRYASEptPp/k/cP4+L5r7y8VANjq3vm5JK8Tx5axbN8Gfdc+LMnTh3HP4V5BAECSUpsLk/zVgvccr5EKAGxR53xskj9a8NQ7S20+JBkAuJqnZ/42Zn8rDgDY6t65qtTmSqlsGcv2rX/xbZdk4zD+Y6nN+6UCAL/kLUn+e3j8qL5rf18kALBZnbMkOWnBU5ck2VsyAHB1pTbnJTl+GO/ed+1zpQIAW9w731Fq81GpbDnL9q33nCQPSHJ5kr3EAQC/rNRmU5LnL3jq9OFNHABw3V6c5D5JNg3zCaU23xELAFyjA5KcOzzeqHcCwBb1zkuSrBXH1rFs3wp91+6a5OhhPKnU5utSAYBrVmrzqSTvHMZfTfIyqQDAdXbOmyc5dBjnkvxwQQcFAH65d16Z5AXDeOMkJ0sFADa7dx5bavM9qWwdy/atc2CSWyU5O8kR4gCA67VHksuGx0cNb+YAgGt2eJKbLZjXltpcKBYAuHalNu/K/G3MXth37a2kAgDX2zt/kGS9OLaeZfsW6rv27klWD+P+pTbnSwUArlupzf9m/gS1XZKcIBUAuMbOed8kL1rw1CeSvFUyALBZnprRLVi2T/IucQDA9fbOtaU2F0ll61m2b7kTk+yQ5LNJXi8OANhs65OcMzx+dt+1VSQA8Es2ZLQgSEbLglWlNpvEAgDXr9Tma0nePYwP67v24VIBgGvtnR9P8nZxbBvL9i3Qd+3jkvzhMK4a7gUEAGyGUptLM3/G5FyS06UCAFfrnE9O8pgFT72p1OZTkgGALfKsJJcOj10dBgCuuXduSrKHk7u3nWX75r/4Skafak+St5fa/IdUAGDLlNr8XZJPD+OD+q79Y6kAQNJ37U65+m1Wfp5kP8kAwBb3zouSHDqMd+i7dpVUAOCXeucbSm3+SyrbzrJ9870kyX2SXJxkH3EAwFZ7fkZnTibJXw9v8gBg1q1OctcFvyOPKrX5X7EAwFY5JslZw+Oj9U4AuFrvvCBO7l40lu2boe/aWyQ5ZBjXl9p8TyoAsHVKbbokbxzGWyVZKxUAZrxz3ibJgcM4l+Tbmb+yGgCw5b1zU5I/H8Zd4jZmAOidC3vnkaU2Z0llcVi2b57Dk9wsyfeTHCsOANhmL8/oajFJcuDwZg8AZtXRSW60YN6z1OZSsQDA1iu1+UDmb2P2zL5r7ygVAPTOfDPJBnEsHsv269F3bU3ywmFcW2pzsVQAYNuU2vwkyQHDuGOSV0gFgBntnA9M8uwFT/17qc3fSwYAFsVTklyZ0XHwvxMHAHpn9iy1uUwqi8ey/fqdlGT7JP+R5B3iAIBF84qMrhqTJE/ru/ZBIgFglvRdO5fk5IwuHZ8kV2R0Dz0AYBGU2vwgyZuG8QF91z5BKgDMcO/811Kbf5DK4rJsv+4X4B8n+b0km5KsGu71AwAsglKbPsnuC5567fDmDwBmxTOSPGTB/OpSm04sALCoXpTkouHxG/VOAGa0d16RZI04Fp9l+7Xou3anJCcM4+tKbT4rFQBYXKU2/5LkQ8N43yR/JhUAZqRz3iDJ+gVPnZvkIMkAwKL3zsuSrB3GWyZZJxUAZrB3vqrU5ktSWXyW7dduzyR3SXJ+5u8pCwAsvhdkdA+9JDm579obigSAGbBvkttndCW1JDmk1OYnYgGAxVdqc2qS7w3jAX3X3kgqAMxQ7zw3ycHiWBqW7deg79rbJdl/GI8otTlLKgCwNEptvpHk1GG8mTd+AMxA57xTkr2HcS7J/yR5pWQAYEn96fDnjkn+RhwAzFDvXFdq81OpLA3L9mt2VJIbJfl6ko3iAIAld2CSC4bHa/quvbNIAJhi65PsvGBeU2rTiwUAlk6pzScyfxuzpu/a+0gFgBnonf+d5NXiWDqW7b+g79oHJXn2MO413NMHAFhCpTbnZ3QLlyQp8ek+AKa3c/5ukt0WPPWPpTb/IhkAWBa7JbkioyvLvFMcAMxA73Ry9xKzbL/6i28u859k/5dSm3+UCgAsm9dldFWZJHnC8KYQAKapc26Xq1897fLMn2wGACyxUptzkpwyjPfuu3Y3qQAwxb2zLbX5gFSWlmX71f1Zkt/J6OzG1eIAgOVTanNlkucteOr1w5tDAJgWz09y/ySbhnlDqc03xAIAy+rlSc4fHr9G7wRgSnvnZUn2EsfS80Zi0HftDZMcO4ynltp8WSoAsLxKbf4jyXuG8a5JXiQVAKakc94kyZHDOJfk7AUzALB8vbNP8pJhvEmS46QCwBT2zpNKbb4plaVn2T5vvyS3S/KTJIeIAwBWzEuSXHUfofXDm0QAmHTrktxyYQcttTlfLACw/Ept3pLka8O4R9+1N5cKAFPUO89KcoQ4lodle5K+a++S+UsprCu1OVcqALAySm2+n/lPFtwoydFSAWDCO+c9k+yx4Kn/SvIGyQDAinpaRrd2KUnOEAcAU9Q79y21uUAqy8OyfWR9kp2TdElOEwcArLjDk/x0ePyivmt/TSQATLANSXZYMK8qtblSLACwckptuiTvHcZH913721IBYAp652eSvEkcy2fml+191z4yo7MYk2T1cM8eAGAFldpcnORlC96vnC4VACa0cz4+yRMXPPX2UpuPSQYAxsIzk1w+PPbpdgCmoXc6uXuZbTfjL77tk5w0jH9XavPvXhIAMDbenuQLw+OH9V37BJEAMGGds2T06YKrXJxkrWQAYDyU2pyf5NhhvHPftS+QCgAT3DvfVmrzcaksr1n/ZPvuSe6X5NLM37MdABgDpTabkjxvwVOn9V27g2QAmCAvS3KvjO4HmyTHltp8XywAMFYOSvKT4fEGvROACe2dF8XJ3StiZpftfdfeNMkRV72JKrX5tpcDAIyXUpvPJnnbMN4+yWqpADAhnfNXkhw8jHNJvp9kvWQAYOx656Ykzx3GGyY5VSoATGDvPLbU5gdSWX6z/Mn2g5P8SpL/TXKklwIAjK01GV2FJkkO67v2liIBYAIcnuSmC+a9S20uFgsAjJ9Sm3/M/G3Mnt937e2kAsAE9c7vJjlOHCtjJpftfdfeK6PLKiTJvqU2P/dSAIDxVGpzVpLDhnHnJCdKBYAx75y/keSFC576aJIzJAMAY+2pGd36Zbsk7xQHABPUO/dxcvfKmdVPtm9IUpJ8KsnfeBkAwNg7PqOr0STJn/Vdez+RADDGNi7o25uSrB4uUQsAjKlSm28meccwPqTv2kdJBYAJ6J0fLbV5hzhWzswt2/uufWKSxw/jKgc8AGD8ldpcluRFwziX5HVSAWBMO+dTkjxywVOvLbX5rGQAYCI8L8klw+O3iAOAMe+dm5KsksjK2m7GXnw7ZvSp9iR5c6nNJ7wEAGAyDPfQ+89hfEDftbtJBYAx65w7JzlhwVPnJzlQMgAwMb3z4iQHDeNt+67dWyoAjHHvPL3U5nNSWVmz9sn2lyW5Z5ILk+zrxw8AE2f3jM7YTJJT+q7dRSQAjJE9k9x5we+qw0ttzhILAEyOUpvjMn8bs8P0TgDGtHc6uXtMzMyyve/aWyU5eBiPLrU5048fACZLqc3/JHntMN4yTp4DYHw65+2S7D+Mc0m+nuRkyQDARPqz4c+d4zZmAIxn7zys1OZsqay8Wfpk++FJdk3ynVz9sn4AwGRZm+Si4fF+fdfeXiQAjIFjktxwwbxnqc1lYgGAyVNq88HM38bsT/uuvZtUABij3vn1JK8Qx3iYiWV737X3T/KCYXx5qc0lfvQAMJlKbc5Nss8w7pDkFKkAsMKd88FJ/mLBU+8vtXmPZABgoj0tyZUZXbHmXeIAYIx65xond4+PWflk+8nDm6IPl9p4YwQAk++vk3x3ePzkvmt/RyQArIS+a+eSbFzw1BVJ1kgGACZbqc0PM38bs/v1XfuHUgFgDHrn+0tt/kkq42O7GXgB7pbk4RmdhbiHHzkATL5Smz7J8xY89frhTScALLc/T/LgBfMppTZfFgsATIWXJrlQ7wRgTHpnHyd3j52pXrb3XbtLkvXD+JpSmy/6kQPAdCi1+fckHxjGeyV5tlQAWObOeaOM7pl3lR8nOVQyADA1vfPyzC81buH3PAAr3DtPdXL3+Jn2T7bvneROSc5LcpAfNwBMnRdldLneJDmp79obiwSAZbRfktsl2TTMB5XanCsWAJgepTanJfnOMO7bd+2uUgFgBXqnk7vH1NQu2/uuvUOSfYbx0FKbc/y4AWC6lNp8K8krhvEmSQ6TCgDL1DnvkmSvYZxL0iV5jWQAYCrtNvy5Q5K3igOAFeidTu4eU9P8yfZjk9wgyVeSnOpHDQBT66AkPxse/1XftXcVCQDL4LgkOy2YV5XaXCEWAJg+pTafTvJvw/jEvmurVABYxt7p5O4xNpXL9r5rH5rkmcO4Zri3DgAwhUptLsj8PfS2T/JqqQCwxJ3zkUmeuuCpd5fafFAyADDVdkvSZ3RFm3eKA4Bl7J17OLl7fG03hS++7ZJsHMb3ltq8z48ZAKbeGzK6mk2SPKbv2t8TCQBL1Dm3X9A5k+TSJC+XDABMt1KbnyY5eRjv2Xftn0kFgGXone8utfmQVMbXNH6y/VlJHpjk8sx/yg0AmGKlNpuSPHfBU6/ru7ZIBoAl8IIkv5Fk0zCfWGrzbbEAwEzYO/O3MXul3gnAEvdOJ3dPgKlatvdde+MkxwzjyaU2X/MjBoDZUGrziSR/P4x3SvKXUgFgkTvnTZMcPoxzSX6Y5CjJAMDM9M4rk7xoGHdNcrxUAFjC3unk7gkwbZ9sPzDJrZOcs+CFCADMjpdldHWbJDm279qbiQSARXRIkl9ZMO9XavNzsQDA7Ci1eUeSL1/VQfuuvaVUAFiC3vm/cXL3RJiaZXvftXdLsnoYDyi1+ZkfLwDMllKbMzN/lZsbJFkvFQAWqXPeK8lLFzz1ySR/IxkAmElPy+iWMtsnOUMcACxB79zXyd2TYZo+2X5Ckh2TfD7Ja/1oAWBmHZ3RVW6S5Pl9195HJAAsgg1JFt6XdXWpzSaxAMDsKbX5nyTtMD6y79rfkQoAi9g7ndw9QaZi2d537WOTNMO4arh3DgAwg0ptLs7ocvLJ6H66p0sFgG3snE9K8vgFT/1Nqc0nJAMAM+0vklw2PH6HOABYxN7p5O4Jst0UvPhKRmd6JMkZpTYf8WMFgNlWanNGks8O40P6rv1DqQCwlZ1zxyQnLnjqwiT7SgYAZr53/jzJkcN4x75rXyIVABahdzq5e8JMwyfbX5Tk15NckmStHykAMHh+RvfQS5LXDG9aAWBLvSzJPRf8Tjmq1OaHYgEAkhye+duYHad3ArCNvfPCJPuJY7JM9LK979qbD29okmR9qc13/UgBgCQptfl8krcM422SvFwqAGxh57xVkoOHcS7Jd3L1T7kDALPdOzclec4w3iDJq6UCwDb0zqNLbc6UymSZ9E+2H5bkZknOTHKsHycA8Av2zOjqN0lyUN+1txYJAFvg8CS7Lpj3KrW5RCwAwFVKbd6b+duYPavv2jtIBYCt6J3fSXKCOCbPxC7b+6799SR/OYx7l9pc5McJACxUanNOkoOGcackJ0kFgM3snPdP8oIFT32o1ObdkgEArsFTklyZ0fF27xcA2Jre+XInd0+mSf5k+0lJtk/y8SRv96MEAK7jPcNV99Z9et+1DxAJAJvh5IwuHZ8kVyRZJRIA4JoMtzd96zD+dt+1j5EKAFvQOz9cavMucUymiVy291375CSPSbIpyarh3jgAAL+k1ObyJLsveOr1fdfOSQaA6+icuyV5+IKnTiu1+aJkAIDrsHuSi4fHb9Y7AdjM3nllkj0kMrm2m8AX305Jjh/GN5TafMaPEQC4LqU2/5zkP4bxN5I8XSoAXEvn3CXJ+gVPnZdknWQAgOvpnZcm2W8Yb51kX6kAsBm908ndE24SP9m+OsndklyQZH8/QgBgM+2e0ZmiSXJK37U3EAkA1+DlSe6U0ZXUkuTQUpsfiwUAuD6lNhuTnDmMB/dde0OpAHAdvfNncXL3xJuoZXvftbdJcsAwHllq8yM/QgBgc5TafDXJq4fx5kkOlAoAv9A5b5/5T6HNJflKklMkAwBsgWcMf+6U5I3iAOA6euchpTbnSGWyTdon249OcuMk30yywY8PANhC+yf5+fB4775r7ygSABZYn2ThlU9Wl9r0YgEANlepzUczfxuzp/Rde0+pAHANvfMrSU4Vx+SbmGV737UPTPLsYdyr1OYyPz4AYEuU2pyXZO1Voze0ACzonA9N8swFT/1Tqc37JQMAbIWnJbkioyvlvEscAFxD79yz1OZyqUy+7SbkxTeX5OThzcm/ltq0fnQAwFZ6dZJvDY//oO/ah4kEYLb1XbtdkpMWPHV5kj0lAwBsjVKbs5K8Zhjv23ftU6UCoHcu6J3vLbX5Z6lMh0n5ZPszkjwko7MB1/ixAQBbq9TmyiTPW/DU64c3uwDMrmcl+e0F88ZSm6+JBQDYBnskuWB4fJreCaB3Dr3Tyd1TZux/wfdde4OM7l+QJK8qtfmSHxsAsC1KbT6c5H3DePckz5cKwGzqu/bGSY5e8NTZSY6QDACwjb2zT7JqGG+W5CipAOidSV5RavNVqUyPSTibbt8kt09ybpKD/cgAgEXy4iT98PiEvmt3FQnATDogyW0WzAeW2vxMLADAtiq1eX2SbwzjXn3X3lQqADPdO89Jcpg4pstYL9v7rr1zkr2HcV2pzU/9yACAxVBq850kG4bxxvEpRoCZ03ftXXP1W5V9LslrJQMALKI/uaqGJnmbOABmunc6uXsKjfsn249NsnOS/07yaj8uAGCRHZrkvOHxS/uuvYdIAGbKiUl2XDCvKrW5UiwAwGIptfl85m9j9vi+a39TKgAz2Tu/kOR0cUyfsV229137u0l2G8Y1wz1uAAAWTanNhUn+asH7otdIBWA29F376CTNgqfOKLX5qGQAgCXwjMzfxuxvxQEwk71zDyd3T6ftxvTFt12SjcPYltp8wI8KAFgib0nypeHxI/uufZxIAKZb37UlyUkLnrok87cwAwBYVKU25yU5fhjv1nftc6UC8P/Zu+8wS4sCbeN39xQ5CUtQMCDmUIbVNX6GddVV17VUgoAiIqIiYWZAcs6ZmQFEJYggSdJahjWsu8Y1p7XMAREFARWQzFAz/f1xqu0GBujp6XDC/bsur66nHXq6n3Ou6VOn6q13oOadl4aYvmor/albr2x/F/AsYDGwhw+TJEmaLiGmEeCd4z51ZnsxLEnqX+8Gng6MtHxciOlqa5EkSdPoAOCmNj7FeackDcy88y5gb+voX1232F5LXgc4ssUFIaYrfZgkSdJ0CjF9B7isxUcxdrS8JKnP1JLXA45ocQj4I3C8zUiSpGmedy6lc5EZwJrAKbYiSQMx7zwhxHSVrfSvbryy/WBgA+A64CgfIkmSNEN2p3OqDsBRteR/sBJJ6kuHAuuNy3uHmO6wFkmSNN1CTFcAP2nx3bXkjWxFkvp63nkNcJx19LeuWmyvJT+JsSvJ9gsx3epDJEmSZkKI6U+MbfRbjbH76UmS+kQt+WnA+8Z96n+Bi21GkiTNoM3p3MpmDmMnrEmS+nPeuU+I6XZb6W/ddmX7ycBKwHeB83x4JEnSDDsOuKGNt68lRyuRpL5yMp03tqHzJvfcENOItUiSpJkSYvoVcHmL/6+W/BJbkaS+nHd+E7jQOvpf1yy215JfC7yuxXntHjaSJEkzJsR0N/DeFoeAj9iKJPWHWvIbgFeP+9RHQ0zftxlJkjQLtgfubuOLrEOS+m7eOUJnrdPN3QNguEuefCvR2ekBcGGI6Rs+NJIkaTaEmP6Dzik7AM+tJb/ZViSpt9WSVwZOGvepW4H9bEaSJM3SvPMO4LAWN6klz7MVSeqreed5Iabv2Mpg6JYr23cBngzcAeztwyJJkmbZjnR2oAJ8sJa8ipVIUk+bBzx+3L/tR4aYrrcWSZI0i44FRl+PHO28U5L6Zt55G7CvdQyOWV9sryVvABw6+gIjxHSND4skSZpNIaYCnNvihsA+tiJJvamWvBFwYItDwG+BhTYjSZJmed45ArytxdWAs2xFkvpi3nlUiOk6Wxkc3XBl+xHAOsDvgRN9SCRJUpd4P3BnGx9QS97YSiSpJx0NrDUu7xFiWmwtkiRptoWYvgiMHjO8bS15U1uRpJ6ed/4OWGAdg2VWF9tryc8EdmpxrxDTnT4kkiSpG4SY/goc0OLKwCJbkaTeUkv+R2CHcZ/6QojpkzYjSZK6yObAUjrv1V9uHZLU0/POPUJMd9vKYJntK9sXte/hqyGmS304JElSlzkV+EMbb1FLfp6VSFJvqCUPAafQOToeYAmwh81IkqRuEmL6I2O3MfvHWvLrbEWSenLe+d8hpk/YyuAZnsUn4BbAy4ARYK4PhSRJ6jYhpsrYKTwA57QX0ZKk7rc18OJx+fQQ00+tRZIkdaH3Ane08bnOOyWpZ7ylzTuXAPOtYzDNymJ7LXk14IQWzwwx/ciHQpIkdaMQ0+eBL7X4VOBttiJJ3a2WvDpw3LhP3QgcajOSJKlL552Lgb1aXB842FYkqSfmnce3+OEQU7GVwTRbV7bvAWwK/A04yIdBkiR1uffQuYcewCm15DWsRJK62t7Ao+icpAZwUIjpRmuRJEndKsR0OnB1i/vXkte0FUnqiXnnTbhJaqDN+GJ7LXkTYP8WDw8x3eDDIEmSulmI6dfAB1p8GF4dKUldq5b8aDpvekDnvnk/Ac6wGUmS1APe0j6uDJxvHZLUE/POQ0NMf7WVwTUbV7YfC6wO/Ao41YdAkiT1iAOBW9t4Xi35sVYiSV3pOGC1cXleiKlaiyRJ6nYhpm8BX27xDbXkp9mKJHX1vPNnwOnWMdhmdLG9lvwCxu5zOi/EdI8PgSRJ6gUhpluAPUejL6QlqfvUkv8fsPW4T30ixPTfNiNJknrIVsASOif0XGodktTV8875bu7W8Aw++YaAU1r8XIjps9YvSZJ6zNnAb9r4NbXkl1uJJHWHWvLwuDknwGLGNklJkiT1hBDTnxm7jdlTaslb24okdeW881Mhpi/Yimbyyva3A/8EVGCe1UuSpF4TYloK7DDuU2fXkufYjCR1hR2AZ4/LJ4eYrrQWSZLUg/YEbmnjDzrvlKSum3feA+xhHYIZWmyvJa8FHNPiqSGmX1q9JEnqRSGmrwOfanEz4N22Ikmzq5a8NnD0uE/96T5ZkiSpl+adFdi5xYcBx9uKJHXVvHNhiOk3tiKYuSvb9wceAfwZONzaJUlSj9uVzmk9ACfUkh9mJZI0qw4ENhw/Bw0x3WotkiSpV4WYLgR+1eLuteT1bEWSumLeeQNwpHVo1LQvtteSNwPmt3hQiOlma5ckSb0sxHQ1cEKLazB2go8kaYbVkh/PvW9V9l3gXJuRJEl9YHNgBAjAJdYhSV0x79w/xHSLrWjUTFzZfiKwCvB/wFlWLkmS+sSRwI1t/O5a8pOsRJJmxcnASuPy3BDTiLVIkqReF2L6CfCZFv+llvxcW5GkWZ13/gA4xzo03rQutteSXwG8qcW5IaYlVi5JkvpBiOkOOsfJj76mOttWJGlm1ZL/Ffj3cZ+6IMT0TZuRJEl95K3APW18qXVI0qzOO+eGmJbaisYbnsYnXwAWtXhZiOkr1i1JkvrMxcCP2/jFteTXWYkkzYw25zx53KfuAPaxGUmS1E/aUcXHtbhpLfndtiJJszLvvDjE9HVb0X1N55XtOwFPB+4C9rJqSZLUb9oxxTuM+9SZteSVbEaSZsT7gKfSuY8pwDEhpmusRZIk9aGDgb+28cnOOyVpxuedd+Lmbj2AaVlsryWvS+c+pgAnhpiusmpJktSPQkw/oHOFO8DGwHxbkaTpVUv+B+DQFoeAq4CTbEaSJPXpvHMEeGeLawAfsBVJmtF55/EhpqttRcsyXVe2HwasB1wLHGvNkiSpz80D7m7jw2vJG1qJJE2rw4F1x+W9Q0x3WoskSepXIaZPAv/X4o615E1sRZJmZN75B8Zu5yHdz5QvtteSn0rnWAXovOFxuzVLkqR+FmK6ns5mQ4BV8OpKSZo2teQIvGfcp74SYrrUZiRJ0gB4M51b6AwDvv6RpJmZd7q5Ww9qOq5sXwDMAb4FXGjFkiRpQJwEXNfGb6slP8tKJGlaLGxzToCldE4XkSRJ6nshpiuBj7f4wlryP9uKJE3rvPN/x/27Ky3TlC6215LfALyazu66ue1eMpIkSX0vxLSYe19p+RFbkaSpVUt+I/CKcZ86K8T0I5uRJEkD5J3AXW18gXVI0rTNO0eA3V3r1EMZnsIn38qMHZl6XojpO9YrSZIGSbuH3jdbfHYt+S22IklTNudcBTh53Kf+BhxoM5IkacDmnXcCB7X4iFryXrYiSdMy7zwnxPQDW9FDmcor2+cCjwduA/azWkmSNKDeRWfnK8BpteTVrESSpsR84LHj/o09LMT0Z2uRJEmDJsR0IvCnFg933ilJUz7vvBXY3zo0EVOy2F5L3oix3XRHhZj+ZLWSJGkQhZh+Bpzd4vq+MJekKZlzPgI4oMUh4JfAaTYjSZIG2Fvbx1WBc6xDkqZ03nlEiOl6W9FETNWV7UcDawG/AxZYqyRJGnB7A3e08T615E2sRJJWyDHAmuPy/BDTPdYiSZIGVYjpS4zdxmyrWvLjbEWSpmTe+RtgkXVoolZ4sb2W/I/ADi3uEWK621olSdIgCzHdBOzb4krAB2xFkiY953we8PZxn/psiOmzNiNJksSWwFI6J/9cbh2SNCXzzj1DTIttRRM1vIJPviHglPbL/L9DTJ+wUkmSJAA+CPy+jVMt+UVWIkmTmnMubHNOgHvo3ENPkiRp4IWYrmHsNmbPrCUnW5GkFZp3fiHE9Elb0fJY0SvbtwZeDCzBNzwkSZL+LsRUgXeO+9TZteRhm5Gk5bIt8MJx+bQQ0y+tRZIk6e92AW533ilJKzzvXALsYR1aXpP+xVtLXh04rsUPh5iKdUqSJI0JMf0P8MUWnwxsbyuSNOE55xrj5pwAfwYOsxlJkqR7zTvvAea1+A++XpKkSc87Tw8x/dRWtLxWZJfb3sCjgJuAg61SkiRpmd5DZ2cswMJa8lpWIkkTsi+wybh8UIjpb9YiSZJ0byGms4CrWtynlry2rUjScs07bwQOsQ5NxqQW22vJj6az2A5wSIjpr1YpSZJ0fyGmK4FTWlwbONxWJOkh55ybAu8f96n/A860GUmSpAe0Zfu4EnChdUjScs07Dwox3WQrmozJXtl+PLAa8DPgg9YoSZL0oA4BRq/G3K2WvJmVSNJDzjlXHZd3DzEttRZJkqRlCzF9j7HbmL2ulhxtRZImNO/8CXCGdWiylnuxvZb8/4C3tDg/xFStUZIk6YGFmG4F5rc4xxfwkvSgc86XMnZlFsClIaav2owkSdJDegtQgSHgcuuQpAnNO+e51qkVMbycT75hxo5B/WSI6QtWKEmSNCEfBX7Rxv9SS36llUjSg845Ae5i7BZmkiRJehAhphuBRS0+oZa8na1I0oPOOz8RYvpvW9GKWN4r298JPBu4B9jT+iRJkiYmxDTSXkuNOquWHGxGku7lXcAzx+UTQkxXWYskSdKE7QPc3ManOe+UpAecdy7GtU5NgQkvtteS1waOanFBiOk31idJkjRxIaZvAp9o8THA+2xFkv4+51wHOHLcp64BjrMZSZKk5Zp3LgHe2+LawEm2IknLnHeeHGK60la0opbnyvaDgA2BGxhbdJckSdLy2ZXOKUEAx9SS17MSSQLgEGCDcXmfENPt1iJJkrR8QkwfB37e4i615A1tRZLuNe+8DjjaOjQVJrTYXkt+IjC3xf1CTLdYnSRJ0vILMV0DHNPi6sDxtiJp0NWSn0RnM9KobwIX2owkSdKkbQ6MAHOAj1uHJOed95p37hdiutVWNBUmemX7ScBKwPeBj1qbJEnSCjkW+Esbv7OW/DQrkTTgTm5zTui8KTw3xDRiLZIkSZMTYvo5kFt8eS35hbYiyXknKwHfBc6zDk2Vh1xsryX/K/D6FueGmJZamyRJ0uSFmO4EdmlxCDjLViQNqlrya4HXjfvUeSGm79qMJEnSCtsOWNzGF1uHJOedgGudmmLDD/HkC8CC0V/GIab/tTJJkqQVF2K6BPhBiy+oJb/BViQNmlrySuPmnAC3AfvajCRJ0pTMO28Djmjx0bXkXWxF0oDPOy8MMX3TVjSVHurK9l2ApwB3AntZlyRJ0pTakc5xyQBn1JJXthJJA2YX4Enj/i08MsR0nbVIkiRNmaOAP7fx8c47JQ3wvPMOYG/r0FR7wMX2WvI/AIe2eFyI6Y/WJUmSNHVCTD8CLmhxI1/wSxokteQNxs05h4ArgYU2I0mSNKXzzhFg+xZXB86wFUkDOu88NsR0ja1oqj3Yle1HAg8DrgaOtypJkqRpsSdwVxsfWEveyEokDYgjgHXG/3sYYrrbWiRJkqZWiOmzwPdb3K6W/EhbkTRg887fAydah6bDMhfba8nPAHZqce8Q051WJUmSNPVCTDcAh7S4CrDIViT1u/vMOQG+GGL6hM1IkiRNmy2ApXTWBP7DOiQN2LzTtU5Nmwe6sn0hMAf4GnCJNUmSJE2rBcC1bfyWWvJzrURSnztl3Hx0CTDfSiRJkqZPiOkq4MIWn1tLfrWtSBqQeedXQ0yudWra3G+xvZb8ZuCfgRFgXruniyRJkqZJiOke4F3jPvWRWvKQzUjqR7XkLYCXjfvUh0NMP7EZSZKkafcuYPTKzvOcd0oagHnnCDDXRjSdhu/z5FuVsXsWnB1i+oEVSZIkTb92D72vtxiBbWxFUr9pc84Txn3qJuAgm5EkSZqReefdwH4tbjRuLEn9Ou88M8T0I1vRdLrvle3zgccCtwAHWI8kSdKMehede+gBnFpLXt1KJPWZPYFNx+WDQ0w3WoskSdLMCDEtAq4ZfS1WS17DViT16bzzFtzcrRnw98X2WvLGjC2wHxFiusF6JEmSZk6I6ZfAGS2u54RAUj+pJW/Cva+e+hnwIZuRJEmacVu3j6sA51qHpD6ddx7mWqdmwvgr248B1gB+DZxiNZIkSbNiP+C2Nn5/LfnRViKpT4zOOUfNCzFVa5EkSZpZIaavA19r8c215CfaiqQ+m3f+CjjVOjQThgBqyc8HvtU+9/oQ02esRpIkaXbUkncGTm/xN8BPbUVSjxsG/n1cziGmN1qLJEnSrM07N6JznPwc4M/AN2xFUh/NO/8txPSfVqKZEGrJQ8Cilj/vQrskSdKsOwN4P7AZ8Pj2P0nqF/e0f+MkSZI0S0JM19eSPwy8D9gASLYiqU/cCjzBGjRThoE3Ac9veV8rkSRJml0hpiXAXJuQ1KeuDjH9xhokSZJm3VzgdmuQ1GfWAo5u92+Xpl2gczzMre3J96/Aj6xFkiRp1u0+bvxuOsf6SVIvOxB4DvC4WvI/h5i+ZCWSJEmz6gV07m0M8CXgFCuR1AeOA54IHAtsZx2abqP3bN+nPeluBZ4YYrrOaiRJkmZHLfk5wPda/HyI6TW2IqkP/m17JHAVnfuCXgs8KsS01GYkSZJm7fXZ1cCjgMXABiGmW2xFUh/82/ZaYPR+7S8MMX3LVjSdhtvHBcBv6Vzdfoy1SJIkzapLR+cHwLbWIakfhJj+CJza4sbAfFuRJEmaHbXk3ekstAMc5UK7pD6ae34W+FyLp9SSh2xF02m4PfEWA3u2z21fS36u1UiSJM28WvJOwGNbPDnEdKOtSOoj+wN/a+MjasnrWIkkSdKMzztXo3PSLcBfgCNtRVKfmUfnIpZ/At5uHZpOo1e2E2LKwBfpHC3vTg9JkqQZVkteGTi5xZvoLEpJUt8IMd1J500PgNUYu9JdkiRJM+eD7bUYwPbe2kdSH849fwmc1uIxteQ1bUXTZfg+eR6wBHghsLX1SJIkzahTgNEX/+8OMS2xEkn9JsT0UeBXLb6tlvwkW5EkSZoZteTHANu1+MMQ03/aiqQ+dRjwZ+ARwAHWoelyr8X2ENNP6exqAzihlry6FUmSJE2/WvLGwE4t/jTEdJmtSOpj27SPQ8CF1iFJkjRjLqezLjACvNk6JPWrENPNwEEtzq8lb2Yrmg7Dy/jcIXSOLd0E2NeKJEmSZsQljL3hsbl1SOpnIaYfAJ9s8R9ryclWJEmSplct+TXAc1q8IMR0la1I6nNnAf8HrAKcaB2aDvdbbA8x3cjYTo+92rEykiRJmia15JcBL27xinZfKUnqdzsB97TxWbXklaxEkiRp2uadQ8C5Ld4JvNtWJPW7dovGeS2+qZb8ClvRVBt+gM9/GPgJsCpwvDVJkiRNj/aGx+gRyncD77AVSYMgxHQDcEyL6wP724okSdK0ORDYsI0PCDHdaSWSBmTu+WVg9HaNC2vJwVY0lYYf4IlXgfktblVLfqlVSZIkTYs9gI3b+PAQ021WImmAHAX8tY0PqCVvYCWSJElTq5a8Fp3FdoBrQkwLbEXSgNkLuAuIdE5Zk6bMA13ZTojpi0BucVEtedi6JEmSpk4teTXgyBavZ+wKT0kaCCGmxYy90bEScIatSJIkTblzgZXbeFvrkDSAc8+rgJNaPLKWvK6taKo81AL6nsBi4FnAjtYlSZI0pc6ic9segO1DTCNWImnQhJj+A/hRi2+sJT/LViRJkqZGLfkpwBtb/HqI6au2ImlAHQNcC6wHHGodmioPutgeYvotMHqkzFG15HWsTJIkacXVkh8HbNPid0NMn7cVSQNsG2B0w9FF1iFJkjRlLgOGgCXAltYhaVCFmG4H9mlxl7YZSVphEzka/ig6x5puABxsZZIkSVNi9A2PpcAW1iFpkIWYfsHYIvuTa8lvsxVJkqQVU0veEnhqi2eEmK6zFUkD7gLgW8AcYKF1aCo85GJ7iOlWYN8Wd6slP9HaJEmSJq+W/O90btMDcF6I6WpbkSR2Ae5q49NqyataiSRJ0qTnnQE4o8XbgHm2ImnQtVs4zm3x1e09OmmFDE/wz50HfA9YibFj5SVJkrScasnDwEdavAPY2VYkCUJMNzN2mto6wJG2IkmSNGlHAQ9r47khpsVWIkkQYvoOcG6LJ9WSV7YVrYjhCT7xljK20+N1teTXWJ0kSdKkHAys38Z7h5jushJJ+ruTgT+18bxa8iZWIkmStHxqyesBe7T42xDTR2xFku5lfzqnfjyBsfVPaVImemU7IaZvABe2uKCWvJL1SZIkTVwtee32Yh7gDyGmD9iKJN1r3rkEeHuLc4BzbEWSJGm5XQyENt7KOiTpfnPPa4GjWzywlryRrWiyhpfzz+9D57jTJ9O5n54kSZIm7nw6t+UBeIt1SNL9hZi+CPxvi6+qJb/IViRJkiamlvxc4FUtfj7E9ANbkaRlOhn4HbA2nVtvSJOyXIvtIaY/Ase2eEgteQMrlCRJemi15KcDr2/xyyGmb9qKJD2g7YClbXxBLXnISiRJkibkktFpKLCNdUjSsoWY7gb2bPGdteR/tBVNxvAk/psTgd8DDwOOsEJJkqQJuQwYApbgVe2S9KBCTL8DzmxxU2BnW5EkSXpwteR3AY9t8aQQ0022IkkPOvf8D+BLdN6zW+RGb03G8CSeeHcCe7e4Uy35GdYoSZL0wGrJ2wJPavH0ENMNtiJJD2lP4PY2Pr6WvKaVSJIkPeC8c2VgQYs3AQfYiiRNyFw6F8f8P2Ar69DymsyV7YSYLgG+1v77U6xRkiRp2WrJAfhgi7cAe9iKJE1o3nk7Y0f6rUHnfnqSJElatlOA0c2JO4WYlliJJE1o7lkYO1nthFryarai5TG8Av/t7sAI8LJa8uZWKUmStEzHA2u38a4hpmolkjRhZwC/a+Mda8mPtRJJkqR7qyVvDOzU4k9CTJfbiiQtlwOBm4FHMXa6tzQhk15sDzH9iLGdHifWkle1TkmSpDG15A3obFAE+HWI6WO2IknLNe8cAbYdN3+9wFYkSZLu59L2WmkE2MI6JGm5555/BQ5pcZ9a8qNsRRM1vIL//UF0jkPdlLHj/SRJktRxMTCHzhseW1qHJC2/ENO3gC+0+MJa8qttRZIkqaOW/HLgRS1eEWL6pa1I0qScDvwcWI3OSZXShKzQYnuI6QbgsBb3qyVvYqWSJElQS34h8IoWPxNi+j9bkaRJ2wEYvQ3HR2vJwUokSZLzzjzE2Mk/dwPb24okTU679eP8FreuJb/YVjQRw1PwNU4DfgWsARxjpZIkSQBc1D7eA2xnHZI0eSGma4EFLT4C2MNWJEmSmA9s3MaHh5hutxJJWqG55+eBT7e4qJY8bCt6KMNT8MRbzNhOj+1qyS+wVkmSNMhqyTsDj2nxuBDTzbYiSSvsYGD039PDa8nrWokkSRrgeedqwFEt3oAXwknSVNmDzsUzzwHeYR16KFOyIyPE9J/A51pc1I6vkSRJGji15FWAE1v8K3CIrUjSlMw77wLe1+IqdO6nJ0mSNKjOAlZt4+1CTCNWIklTMvf8NbCoxWNqyWvbih7MVB5/MJ/OPfSeh0elSpKkwXU6sHobvzPEtNRKJGlqhJguAn7W4ltqyU+1FUmSNGhqyZsB27T43RDTF2xFkqbUEXRODdkQOMA69GCmbLE9xPQL4AMtHltLXtN6JUnSIKklP5Kx46V+HGL6pK1I0pTbFhgBhoCLrEOSJA2gy9troaXAFtYhSVMrxHQLY4vs82vJj7cVPZDhKf56hwJ/AR4B7G+9kiRpwFzWXl+NAG+2DkmaeiGm/wP+o8Vn1JL991aSJA2MWvLrgWe1eG6I6WpbkaRp8RHgh8BKwEnWoQcypYvtIaabgQNb3KOW/FgrliRJg6CW/C/A81v8eIjpt7YiSdPm3cDiNj6jlryylUiSpAGYdw4D57R4B/A+W5Gk6dFuDbl7i2+oJb/aVrQsw9PwNc8Cfgysgjs9JEnSAKglDwHnt3gXsKOtSNL0CTH9FTiqxX8ADrYVSZI0AA4B1m/jvUNMd1mJJE3r3PPrwMdbXFBLDrai+xqehifeEmBui2+qJf+zNUuSpD63N/DwNj44xHSHlUjStDsauGH03+Fa8kZWIkmS+lUteR1gvxavDjF9wFYkaUbsTefimqcCO1uH7ms6rmwnxPRlOvcsBVjkTg9JktSvaslrAIe1+CfgRFuRpOkXYqrAu1pcCTjTViRJUh87r73mAdjaOiRpxuaeVwPHtXhYLXk9W9F4w9P4tUd3ekRgJ6uWJEl96iN0bp8D8NYQ04iVSNLMCDF9Cvhei/9eS36urUiSpH5TS3468O8tfiXE9E1bkaQZdTzwB2Bd4Ajr0HjTttgeYvodcHKLR9SS17VuSZLUT2rJTwS2bPFbIaYv2Yokzbi3AqMbnS6sJQ9ZiSRJ6jOXAUPAknFzUEnSDGm3jNynxffUkqOtaNTwNH/9o4FrgX8ADrFuSZLUZy6l84bHUmAL65CkmRdi+hVwbotPALa3FUmS1C9qydsAT2rxAyGmP9uKJM2Ki4H/BeYAC6xDo6Z1sT3EdDtjOz12rSU/xcolSVI/qCW/EXhGi2eHmK6xFUmaNXOBO9v4lFryalYiSZL6YN4ZgA+1eAuwp61I0uxot46cS+dktX9p7w1K035lO8AFwLfp7PRYaOWSJKnX1ZKHgbNbvB3Y1VYkafaEmG4B9m9xLeBYW5EkSX3gBGDtNt41xFStRJJmde75feCcFk+qJa9iKxqegSfeCLB7i6+uJb/e2iVJUo87ElivjfcIMS22EkmadacAf2zjXWrJj7ISSZLUq2rJ6wO7tfirENPHbEWSusL+wK3AZsB869BMXNlOiOk7wHktnlxLXtnqJUlSL6olPwx4f4u/CzGdYSuSNPtCTEuB7VqcM24OKkmS1Isuaa9pRoAtrUOSumbueT2dC3EADqglP9xWBtvwDP5d+wG3AU9g7Ep3SZKkXnMhsFIbb20dktQ9QkxfBr7S4stryS+1FUmS1GtqyS8A/rnFz4SYfmwrktRVFgK/BdbE25gNvBlbbA8xXQsc3eJBteSNrF+SJPWSWvKzgNe0+MV2eo8kqbu8HVjaxufXkoetRJIk9ZiL28d7gLdZhyR1l3ZLyT1G56C15H+ylcE10286LAB+B6zN2BELkiRJveJSYAiowDbWIUndJ8R0NXB6i48CdrEVSZLUK2rJOwOPafG4ENPfbEWSunLu+UngC3TeK1xUSx6ylcE0PMNPvLuAPVvcsZb8jz4EkiSpF9SS3wE8vsVFIaa/2Iokda19gFvb+Nha8tpWIkmSemDeuQpwYot/BQ6xFUnqansAS4AXAttax2Ca8eP0Qkz/AXwJd3pIkqQeUUteCTilxZuBfW1FkrpXiOkOYF6Lq9O5n54kSVK3+0B77QLwzhDTUiuRpK6ee/6UsZPVjqslr2Erg2e27l03l85Oj/8HbOXDIEmSutzJwFptvHOIqVqJJHW9c4DftPE7asmPtxJJktStasmPBHZo8cfteGJJUvc7FLgR2ITOKWsaMLOy2B5iKsCZLZ5QS17Nh0KSJHWjWvJGwM4t/jzEdLGtSFL3CzGNMHaM3xBwga1IkqQudhmd9+tHgDdbhyT1zNzzRuCgFveqJW9qK4NleBb/7gPpHMP6KGBvHwpJktSlLgXm0HnDYwvrkKTeEWL6LvCZFp9XS36drUiSpG5TS34l8PwWPx5i+q2tSFJPOQP4CbAqcLx1DJZZW2wPMf0VOKTFfWrJj/LhkCRJ3aSW/CLgJS3mENPPbEWSes6OwOjtP86pJQcrkSRJXTTvHAI+1uJd7bWLJKmHtFtOzmtxy1ryS21lcAzP8t9/OvBzYDXc6SFJkrrPx9vHxcDbrUOSek+I6XrghBY3xHvoSZKk7rI38PA2PijEdIeVSFJPzj3/G8gtnlJLHraVwTA8y0+8Csxvceta8ot9SCRJUjeoJe8GPLLFo0JMt9qKJPWsQ4Gb2vjgWvJ6ViJJkrpg3rk6cFiLfwJOshVJ6ml70Llo55nAu6xjMMz6rooQ0+eBT7e4yJ0ekiRpttWSVwWOa/HPwBG2Ikm9K8S0GHhPiysDH7YVSZLUBc4BVmnjbUNMI1YiST0997wSOLnFI2vJ69hK/+uWhe09gHuA5wDv8GGRJEmz7EN0bnMD8A7f8JCk3hdiuhT4cYub15KjrUiSpNlSS34CsGWL3wwxfdlWJKkvHA1cB2wAHGId/a8rFttDTL8GFrV4TC15bR8aSZI0G2rJjwG2a/EHIab/tBVJ6htvBUaAIeAi65AkSbPosvaaZClji+6SpB7XbkW5X4u71pKfZCv9rZuObD8CuAHYEDjAh0aSJM2Sy9prpBFgc+uQpP4RYvoJcEmLT6slb20rkiRpptWS3wQ8o8WzQ0zX2Iok9ZXzgO8CKzF2rLz6VNcstoeYbmFskX1+LfnxPjySJGkm1ZJfAzy3xQtCTFfZiiT1nfcBd7fx6bXkVaxEkiTN4LxzGDirxduBXW1FkvpLiGkpMLfF19WSX2sr/Wu4y76fjwA/pLPT4yQfHkmSNFNqyUPAuS3eCbzbViSp/4SYbmTsvnnrAofZiiRJmkFHAuu18fwQ02IrkaS+nHt+E7iwxQW15JVspT8Nd9kTbymwe4tvqCW/2odIkiTNkAPo3M4GYP8Q051WIkl96yTgujbes5b8cCuRJEnTrZb8MOD9LV4VYjrTViSpr+0N3AE8CdjFOvpTt13ZTojp68DHW1xQSw4+TJIkaTrVktcEDmrxmhDTQluRpP4VYqrAO0YjcI6tSJKkGXABnVNdAbayDknq+7nnNcCxLR5aS97AVvrPcJd+X3vTOb71qcDOPkySJGmanQes3MbbWIck9b8Q0+eBb7X4mlry821FkiRNl1ryM4HRe/Z+McT0XVuRpIFwIvB7YB3gCOvoP1252B5iuho4vsXDasn/4EMlSZKmQy35KcAbW/x6iOlrtiJJA+OtwNI2vrCWPGQlkiRpmlwGDAEV2No6JGkwtFtV7t3iTrXkZ9hKfxnu4u/teOAPwLrA4T5UkiRpmoy+4bEE2NI6JGlwhJiuBD7S4mbAjrYiSZKmWi15e+DxLS4MMf3VViRpoOaelwBfpbMue4qN9JfhLn7i3QHs0+J7asnRh0uSJE2lWvIWdG5bA/DhENN1tiJJA2cP4I42XlBLXsNKJEnSFM47A3Bqi38D9rMVSRpIc4ER4GXtPUn1ieEu//4uBv4XmAMs8OGSJElTpZY8BzizxVuBebYiSYMnxHQrY0f6rcnYLc0kSZKmwgJgrTZ+T4ipWokkDeTc80eMvRd5Qi15VVvpD8Nd/sQbAXans9PjX2rJb/QhkyRJU+RY4GFtPDfEdI+VSNLAOh34fRu/t5a8qZVIkqQVVUt+OLBziz8PMX3cViRpoB0E3AJsCuxpHf2h269sJ8T0A+CcFk+uJa/iwyZJklZELXk9xq5k/22I6RxbkaTB1TZ6v23cPPk8W5EkSVPg43RObR0BPDJYkpx73gAc1uJ+teRNbKX3DffI97k/neNdHwvM92GTJEkr6GIg0HnDY0vrkCSFmL4O/E+LL6klv8JWJEnSZNWSXwy8tMVPhph+ZiuSJOBU4FfAGnRO3lSP64nF9hDT9cCRLR7Qjt+RJElabrXk5wKvavELIaYf2ookqXk7sKSNP1ZLHrYSSZI0SRe3j4sZO0FHkjTg2q0sRy8sflst+QW20tt66Y2DhcBvgDVxp4ckSZq80Xvk3QNsbR2SpFEhpmuARS1ujCerSZKkSagl7wo8ssWjQky32Yokadzc8z+Bz7W4qJY8ZCu9a7iHnniLgT1bfHst+Xk+fJIkaXnUkncENmvx5BDTzbYiSbqPA4Fb2vjIWvI6ViJJkpZj3rkqcHyLfwaOsBVJ0jLMByrwPGA76+hdPXUkXojpk8AXgCFgoTs9JEnSRNWSV2bsasWbgP1tRZK0jHnnncBuLa5K5356kiRJE/UhYLU23j7ENGIlkqRlzD1/AZzW4rG15DVtpTf14v3n5tO5h94LgW19CCVJ0gSdAqzRxu8KMS21EknSsoSYzgN+2eLbaslPshVJkvRQasmPZuzqxO+HmD5rK5KkB3EY8BfgEcAB1tGbem6xPcT0M+D0Fo+rJa/hwyhJkh5MLXljYKcWfxJiusJWJEkPYXRz9xBwkXVIkqQJuILOe+4jwBbWIUl6MO0Wlwe2OL+W/Fhb6T3DPfp9HwLcCGwC7OvDKEmSHsIl+IaHJGk5hJh+AOQWn11LTrYiSZIeSC35NcBzWjw/xHSVrUiSJuAs4MfAKsBJ1tF7enKxPcR0E3BQi++vJW/qQylJkpallvwy4MUtXhZi+qWtSJIm6N3APW18Zi15JSuRJEnLmHcOAee2eGd7DSFJ0kMKMS0B5rb4plryP9tKbxnu4e/9DOAnwKrA8T6UkiTpAVzYPt4N7GAdkqSJCjHdABzd4gbA/rYiSZKWYX9gwzbeL8R0l5VIkpZj7vll4LIWF9WSg630juEefuJVxnZ6bNmuWpMkSfq7WvKewMYtHhZiut1WJEnL6Sjgr218QC15AyuRJEnj5p1rAge3eE2IaZGtSJImYW/gLiACO1lH7+jlK9sJMf0P8IkWF9WSh31IJUkSQC15NeDIFq8HjrUVSdIk5p33ADu2uBKdU9YkSZJGnQes3MbbWIckaZJzz98BJ7d4RC15XVvpDf2wOL0nsBh4Ju70kCRJY86ic7sZgLeHmEasRJI0GSGmDPyoxTfWkp9pK5IkqZb8FOCNLX4txPQ1W5EkrYCjgWuBfwAOsY7e0POL7SGmK7n3To91fFglSRpsteTHMnZFwXdDTF+wFUnSCtoaGN24dbF1SJIkOvfXHQKWAFtZhyRpRbRbYO7T4q5tU5e6XL8cu3408CdgA9zpIUmS4Ao6b3gsBd5sHZKkFRVi+iVwQYtPriVvZyuSJA2uWvIWwFNb/FCI6TpbkSRNgQuAbwNzgIXW0f36YrE9xHQrsH+Lu9WSn+RDK0nSYKolvx54VosfDTH90VYkSVNkN+CuNj61lryqlUiSNJDzzjnAmS3eCsy3FUnSVGi3wty9xVe39zrVxYb76Gc5F/guEIAFPrSSJA2eWvIwcE6LdwDvsxVJ0lQJMd0MHNTiOsBRtiJJ0kA6BnhYG88NMd1jJZKkKZx7fgc4r8WTa8kr20r3Gu6jJ94IMLfF19aSX+vDK0nSwDkYWL+N9wox3W0lkqQptgC4to3n1pI3sRJJkgZHLXk9xq5k/22I6RxbkSRNg/2A24AnMHalu7pQP13ZTojpm4zdQ29BLXklH2JJkgZDLXltxm4rc3WI6XRbkSRNw7xzCfD2FucAH7UVSZIGysV0TlcF2MI6JEnTNPe8Fji6xYNqyRvZSnca7sOfaR86x8Y+CdjVh1iSpIFxPjC60e4t1iFJmi4hpv8Gvt7iK2vJL7YVSZL6Xy35OcCrWvxciOlHtiJJmkYLgN8BawNHWkd36rvF9hDTNXTumQNwSC15Ax9mSZL6Wy356cDrW/xyiOlbtiJJmmbbAUvb+Pxa8pCVSJLU9y5pH+8BtrEOSdJ0CjHdBby/xR1ryf9oK91nuE9/rpOAq4B1cKeHJEmD4DJgCFgCbGkdkqTpFmK6Cvhwi5sC77UVSZL6Vy15R2CzFk8OMd1sK5KkGZh7XgF8ic57nwvd6N19hvv0iXcnsHeL76olP8uHWpKk/lRL3pbO7WMATgsx/cVWJEkzZC/g9jY+oZa8ppVIktSX886VgYUt3gjsbyuSpBk0l85FRi8BtrKO7tKvV7YTYroU+Er7GRf6UEuS1H9qyQE4vcVbGDtWSZKkmZh33g7Mb3EN4GRbkSSpL50CjG6q2ynEtNRKJEkzOPcswJktnlBLXs1Wusdwn/988+jcQ+9ltWSPlJUkqf8cT+e2MQC7hJiqlUiSZthZwO/aeMda8mOtRJKk/lFL3hjYqcXSjvOVJGmmHQjcDDyKsdO91QX6erE9xPQjOm98ABzvTg9JkvpHLXl9YPcWfxliOt9WJEmzMO8cAbYdN8e+wFYkSeorl7Tf8SPAFtYhSZqluedfgUNb3KeW/Ehb6Q7DA/AzHgj8DdgU2NOHXJKkvnEJMIfOGx6eYCNJmjUhpm8Bn2/xhbXkV9mKJEm9r5b8MuDFLV4eYvqVrUiSZtEHgJ8DqwEnWEd36PvF9hDTn4HDWtyvlryJD7skSb2tlvx84J9b/Ey7b5EkSbNpB2D0dibn1ZLnWIkkST3vwvbxbmB765AkzaZ2C835LW5dS36xrcy+4QH5OU8DfgWsDhznwy5JUs/7ePt4D/A265AkzbYQ05+ABS0+HHi/rUiS1LtqyXsAG7d4aIjpDluRJHXB3PPzwKdbXFRLHraV2TU8IE+8e4B5Lb61lvwCH3pJknpTLfm9wGNaPDbE9DdbkSR1iYOAm9v4sFryulYiSVJPzjtXA45q8Xq8gEuS1F32pHMR0nOAd1jH7BqY3Q4hps8Cn23xlFrykA+/JEm9pZa8MnBSi38FDrUVSVIXzTvvBnZucRU699OTJEm95yxg1TbeLsQ0YiWSpC6ae/4KWNTi0bXktW1l9gza0QLz6dxD75/wHjuSJPWiD9K5LQzADiGmpVYiSeomIaaLgZ+1uHUt+am2IklS76glPxbYpsXvhJj+y1YkSV3oCOAGYCPgAOuYPQO12B5i+iVwaotH15LX8ikgSVJvqCVvwtixSP8XYvqUrUiSutQ2wAgwBFxkHZIk9ZQr2u/wpcAW1iFJ6kYhplsYW2SfX0t+vK3MjuEB/JkPA/4MPALY36eAJEk944r22mUEeLN1SJK6VYjpx8DlLT6jluzvLUmSekAt+d+BZ7V4bojpD7YiSepiHwF+CKzE2K03NcMGbrE9xPQ34KAW59eSN/NpIElSd6sl/wvwvBYvDjFdaSuSpC73XmBxG59ZS17ZSiRJ6up55zCdRQuAO4CdbUWS1M3aLTbntviGWvKrbGXmDQ/oz30m8H/AKrjTQ5KkrlZLHgLOb/EuYEdbkSR1uxDTX4EjW1wPONhWJEnqagcD67fx3iGmu61EktQDc8+vAZe0uLCWHGxlZg0P6BNv/E6PN9aSX+FTQZKkrrU38PA2PijEdKeVSJJ6xDHADaO/z2rJG1qJJEndp5a8NmO3HL06xPQBW5Ek9ZC96Fyk9FQ6p6xpBg3qle2EmL4CXNriInd6SJLUfWrJqwOHtfinENOJtiJJ6qF5Z2XsRJaVgLNtRZKkrnR++10NsJV1SJJ6bO55NXBci4fXktezlZkzPOA//950dno8HXi3TwdJkrrOOXRu+wKwrXVIknpNiOnTwPdafH0t+bm2IklS96glPw14fYtfDjF921YkST3oeOCPwLrAEdYxcwZ6sT3EdBUweoXcEbXkdX1KSJLUHWrJTwC2bPEbIaYv24okqUdtA4y08YW15CErkSSpa1wODAFLxs1BJUnqKSGmO+hcZAzwnlry021lZgxbAccC1wLrMXZMrSRJmn2jb3gsxTc8JEk9LMT0G+DcFp8AbG8rkiTNvlrytsCTWjw1xPQXW5Ek9bCLgW8Ac4AF1jEzBn6xPcR0O2M7Pd5XS36qTwtJkmZXLfmNQGzxrBDTtbYiSepxc4E723hRLXk1K5EkaVbnnQE4vcVbgL1sRZLUy0JMI8DudE5We2V7j1XTzCvbOy4Evok7PSRJmnW15GHg7BZvA3azFUlSrwsx3QLs2+LawHG2IknSrDoeWKeN3xdiqlYiSeqDuef3gY+2eFIteRVbmV4utvP3nR7z6Oz0eHUt+Q22IknSrDmSzu1dAOaHmBZbiSSpT5wG/LGN31dLfqSVSJI082rJ69O58g/glyGmC2xFktRH9gNuBTajs/6paeRiexNi+g5wXosn1ZJXthVJkmZWLXkd4P0t/i7EdJatSJL6aN65FHhbi3OA821FkqRZ8fH2u3gE2MI6JEl9Nve8HjiqxQNryQ+3lenjYvu97UfnuNrH07mfniRJmlkXASu18VusQ5LUb0JMXwG+0uLLaskvsRVJkmZOLfn5wCta/EyI6Se2IknqQwuA3wJrAsdYx/RxsX2cENOfGNvpcVAteSNbkSRpZtSSnwm8tsUvhpi+ayuSpD61HbCkjS+oJTs3lyRp5lzcPt4DvNU6JEn9qN2ac48Wt68l/5OtTA8n9Pe3APgdsBZwtHVIkjRjLmsfK17VLknqYyGmPwAfbPFRwK62IknS9KslvxfYtMVjQky32IokqY/nnp8E/gsYAhbVkodsZeq52H7/J97djO302KGW/I+2IknS9Kolb0/nNi4AC0NMN9qKJKnP7Q3c2sbH1pLXthJJkqZ13rkycFKLfwUOsxVJ0gCYT+dktRcC21jH1HOxfRlCTJ8A/pvOTo9T3OkhSdL0qSUH4NQWbwb2tRVJ0gDMO+8E5ra4GrDQViRJmlYfBFZv4x1CTEutRJI0AHPPnzJ2strxteTVbWVqudj+wEZ3erwY2No6JEmaNgvo3L4F4D0hpiVWIkkaEB8FftPG29eSH28lkiRNvVryI4F3tPijENOnbEWSNEAOAW4ENsELnaaci+0PIMRUgA+3eJw7PSRJmnq15A2BnVv8eYjpEluRJA3QvHOEsWP8hoELbUWSpGlxWftdOwJsbh2SpAGbe94IHNziXrXkTW1l6rjY/uAOBm4CHkXnfnqSJGlqXQrMwTc8JEkDKsT0PeAzLf5TLfl1tiJJ0tSpJf8L8PwWLw4xXWkrkqQB9GHgJ8CqwHHWMXVcbH8QIaa/0jlaAWDvWvKjbUWSpKlRS34x8NIWc4jp57YiSRpQOwL3tPE5teRgJZIkTcm8cwg4v8W72u9cSZIGToip0rmFNsBWteSX2srUcLH9oX0Q+BmwGnC8dUiSNGUubh8XA9tZhyRpUIWYrgdOaHFDYB9bkSRpSuwNPLyNDwox3WklkqQBnnt+EcgtLqolu048BSzxoZ9443d6vKWW/P9sRZKkFVNL3g14ZItHhphusxVJ0oA7DLixjQ+uJa9nJZIkrdC8c/X2+xXgTyGmE21FkiT2oHPx07OAd1nHinOxfQJCTF8APtXiKe70kCRp8mrJqzB2X6A/A0faiiTJeWdaDLynxZXp3E9PkiRN3jnAKm28jXVIkgQhpiuBBS0eWUtex1ZWjIvGE7cHnXvoPRvYwTokSZq0M+jcngXg7SGmESuRJAlCTJcBP25x81pytBVJkpZfLfkJwJYtfiPE9BVbkSTp744Crgc2AA62jhXjYvsEhZh+w9hOj6NryWvbiiRJy6eW/GjgbS1+P8T0OVuRJOletgFGgCHgIuuQJGlSLmu/S5cytuguSZKAENOtwL4t7lZLfqKtTJ6L7cvnKOAGYEPgIOuQJGm5Xd5efywFNrcOSZLuLcT0M+DjLT6tlry1rUiSNHG15DcBz2jxrBDTtbYiSdL9nAd8F1iJsYuNNQkuti+HENMtwH4tzm3HEUmSpAmoJb8GeG6L54eYfm8rkiQt0/uAu9v4g7XkVaxEkqQJzTuHgbNavB3Y1VYkSbq/ENNSYF6Lr6slv9ZWJsfF9uX3UeAHdHZ6nGQdkiQ9tFryEHBui3cC77EVSZKWLcR0E3BIiw8DDrMVSZIm5AhgvTaeF2K6x0okSXrAuec3gAtbPLmWvJKtLD8X25f/ibcU2L3Ff68l/6utSJL0kPancxsWgH1DTHdZiSRJD+ok4Lo23rOW/HArkSTpgdWS1wH2avF3IaazbEWSpIe0D3AH8GRgF+tYfi62T0KI6X+Bi1tcUEsOtiJJ0rLVktcEDm7xjyGmU2xFkqSHnHdWYPvRCJxjK5IkPagL6ZxGCrCVdUiSNKG55x+BY1s8pJa8ga0sHxfbJ29vOsfgPoXO/fQkSdKynQus3MZbW4ckSRMTYvoC8K0WX1NLfr6tSJJ0f7XkZwCva/G/QkzfsxVJkibsROD3dG5jdoR1LB8X2ycpxPQH4LgWD6sl/4OtSJJ0b7XkJwNvavFr7XQYSZI0cdsCS9v4wlrykJVIknQ/l49OQ3GTtyRJyyXEdCedi4wBdmqb2DRBLravmOOBP9DZ6XGkdUiSdD+XA0PAEmBL65AkafmEmH4HfKTFzYAdbUWSpDG15O2Bx7e4MMR0o61IkrTcc89LgK/RWTv2NqDLwcX2FXvi3Qns1eJOteRoK5IkddSStwSe2uKHQkzX24okSZMyH7i9jRfUkle3EkmSoJYcgFNbvBnY11YkSZq03YER4GW15M2tY2JcbF9xlwBfB+YAi6xDkiSoJQ8DZ7R4KzDPViRJmpwQ022MHem3JnCCrUiSBMBCYK02fk+IaYmVSJI06bnnj4AzWzyxlryqrTw0F9tX/Ik3Asyls9Pjn2vJb7IVSZI4ls5tVgB2DzFVK5EkaYV8EPh9G7+3lvwYK5EkDbJa8kbAe1v8WTv+VpIkrZiDgFuATYE9reOhudg+BUJMPwDObvEkd3pIkgZZLXk9OsfdAvwmxPRRW5EkaYXnnSPAW8fN5T9mK5KkAXcJndNGR4AtrEOSpCmZe94AHNbifrXkTWzlwbnYPnUOpLPT47GMLTBIkjSILgJCG29pHZIkTY0Q0/8C/93iS2rJr7AVSdIgqiW/GHhpi58IMf3cViRJmjKnAb8C1gCOsY4H52L7FAkxXQ8c2eL+teSNbUWSNGhqyc8BXt3i59p9fiRJ0tTZHhi9H+15tWTn9ZKkQXRx+7gYeLt1SJI0dUJMixm7sHi7WvILbOWBOSmfWouAXwNrAkdbhyRpAI3eI+8eYGvrkCRpaoWYrmlzT4BNgHm2IkkaJLXkXYFHtnhEiOk2W5Ekacrnnv8JfK7FRbXkIVtZNhfbp/aJtxjYo8Xta8nPsxVJ0qCoJe8IbNbiiSGmv9mKJEnT4gBg9PfsUbXkdaxEkjQg885VgONbvAE4ylYkSZo284EKPA/YzjqWzcX2KRZi+jTwhRZPcaeHJGkQ1JJXAha2eBNwoK1IkjRt8867gN1aXBU41VYkSQPiDGC1Nt4+xDRiJZIkTdvc8xfAB1o8tpa8pq3cn4vt02MenXvoPR94q3VIkgbAqXRuowKwY4hpqZVIkjR9QkwfA37Z4ttqyU+0FUlSP6slPxp4W4vfDzF9zlYkSZp2hwJ/AR4B7G8d9+di+zQIMf0cOK3F42rJa9iKJKlf1ZIfAezUYgkx/YetSJI0I7ZuH4eAi61DktTnrqDzfvZS4M3WIUnS9Asx3czYKaZ71JIfayv35mL79DkM+CuwMe70kCT1t8vaa4oRYAvrkCRpZoSYfgR8osVn15LfYCuSpH5US34N8JwWLwgxXW0rkiTNmLOAHwOrACdZx7252D5NQkw3AQe16E4PSVJfqiW/FHhRi5eFmH5lK5Ikzah3A/e08dm15JWsRJLUZ/POIeDcFu9k7GQ1SZI0A0JMS4C5Lb6plvzPtjLGxfbpdSZQgFWB461DktSHLmof7wbeYR2SJM2sENOfgaNbXB9PVpMk9Z/9gQ3beN8Q091WIknSjM89vwxc3uKiWvIcW+lwsX16n3iVsZ0eW9SSX24rkqR+UUveg87tUgAOCTHdYSuSJM2Ko4C/tPH+teQNrESS1CfzzjWBg1v8Y4jpFFuRJGnW7EXnoqtI55Q14WL7tAsxfQn4jxbd6SFJ6gu15NXovLEPcB2e4CJJ0mzOO+8B3tXiysAZtiJJ6hPntd9tAFtbhyRJszr3/B1j92w/vJa8rq242D5T9qSz0+MZjL0BIklSLzuTzm1SALYLMY1YiSRJsyfElIEftvjGWvKzbEWS1MtqyU8G3tji10JM/2srkiTNuqOBa+ncxuwQ63CxfUa0nR4LWjyylvwwW5Ek9apa8mOBbVv8dojpi7YiSVJX2AYY3QB3sXVIknrc5cAQsATY0jokSZp9IabbgX1b3LWW/JRB78TF9plzFPAn3OkhSep9V9B5w2MpsIV1SJLUHUJMvwTOb/FJteS32YokqRfVkrcEntrih0JM19uKJEld43zg28Acxi42Hlguts+QENNt3Hunx5NtRZLUa2rJrwee1eJHQ0x/tBVJkrrKbsBdbXxaLXlVK5Ek9di8cxg4o8VbgXm2IklS92i3FJ3b4r/Wkv9tkPtwsX1mfQz4DhBwp4ckqcfUkoeAc1q8A9jZViRJ6i4hpr8BB7a4DnCkrUiSesxxwMPaePcQU7USSZK6bu75beC8FhfUklce1C5cbJ/ZJ974nR6vqSW/zlYkST3kUDq3QwHYM8S02EokSepKC4Br2nheLXkTK5Ek9YJa8rqMXcn+mxDTR21FkqSutR9wO/AEYPdBLcHF9hkWYvoWY/fQW1BLXslWJEndrpa8VnvxBPD7ENOHbEWSpK6ddy4Ftm9xDmMn00iS1O0+TudUUIAtrEOSpK6ee14LHNXiQbXkDQexBxfbZ8e+dHZ6PJHO/fQkSep2FwCjG8TeYh2SJHW3ENN/A19r8VW15BfbiiSpm9WSnwO8qsXPhpj+z1YkSep6C4CrgLUZW3gfKC62z4IQ0zXAMS0eMqg7PSRJvaGW/DTg9S3+T7sfjyRJ6n5vB5a28fm15CErkSR1sUvax3uAba1DkqTuF2K6C9izxR1ryc8etA5cbJ89JzG20+MI65AkdbHLgSFgCV7VLklSzwgxXQV8uMVNgffaiiSpG9WSdwQ2a/GEENPNtiJJUs/MPa8AvkTnPeRFg7bR28X22Xvi3QW8v8WdasnPshVJUrepJW8LPKnFU0NMf7EVSZJ6yvuB29r4hFrymlYiSeqyeedKwMIWbwQOshVJknrOPDoXa70E2GqQfnAX22dRiOly4Ct0dnqcYiOSpG5SSw7A6S3+DdjLViRJ6rl55x3A/BbXAE62FUlSlzkVGN0MtmOIaamVSJLUc3PPHwNntnh8LXm1QfnZXWyffbvTuYfeS2rJW1mHJKmLnACs08bvCzFVK5EkqSedDVzZxjvWkh9rJZKkblBLfgSwU4slxPQJW5EkqWcdBNwMPJoBunDLxfZZNsg7PSRJ3auWvD6wa4u/DDFdaCuSJPXsvHME2Hbc+wAX2IokqUtc2n43jQCbW4ckST099/wLcGiL+9aSHzkIP7eL7d1hdKfHYxi7j7skSbPp40Cg84bHFtYhSVJvCzF9G/hciy+sJb/KViRJs6mW/FLgxS1eHmL6ta1IktTzPgD8AliNzsmpfc/F9i4QYvozcFiLA7PTQ5LUnWrJzwNe0eKnQ0w/sRVJkvrCDsDobWHOqyXPsRJJ0iy6qH28G3i7dUiS1PvarUjntbh1LflF/f4zu9jePUZ3eqwOHGcdkqRZdEn7eA/wVuuQJKk/hJiuA05u8eF4spokaZbUkvcANm7xkBDTnbYiSVLfzD0/D3ymxVNqyX29Hu1ie/c88e4B9mhx20HY6SFJ6j615PfQua0JwDEhplttRZKkvnIwnduYARxaS17XSiRJMzzvXBU4qsXrgONtRZKkvrMHnYu5ngNs388/qIvtXSTE9FngP1tc2O87PSRJ3aWWvDJjV7v9BTjUViRJ6rt5593Azi2uSueUNUmSZtLZ7XcQwHYhphErkSSp7+aevwIWtXhMLXntfv1ZXcztPvPp7PT4J7xXkSRpZp1O53YmADv4hockSf0pxHQx8NMWt64lP9VWJEkzoZa8GbBNi98OMX3RViRJ6ltHAjcAGwEH9OsP6WJ7l2k7PU5t8dha8lq2IkmabrXkRwI7tPijENOnbUWSpL62DTACDAEXWYckaYZc3n73LAW2sA5JkvpXiOlvwIEtzqslP74ff04X27vT4cCf6fOdHpKkrnJZe10wAmxuHZIk9bcQU6Gz4AHwjFrym21FkjSdasmvB57V4kdDTH+0FUmS+t7ZwA+BlYET+/EHdLG9C7WdHqOL7PNryY+zFUnSdKklvxJ4fosXhZiutBVJkgbCe4DFbXxmLXllK5EkTdO8cwg4p8U7gJ1tRZKk/hdiWgrMbTHVkl/Vbz+ji+3d62zgR3R2epxkHZKk6dDe8PhYi3cBO9qKJEmDIcR0I52T1QDWAw62FUnSNDkEWL+N9wwxLbYSSZIGZu75NeCSFhfWkkM//XwutnfvE+++Oz1eaSuSpGmwN/DwNj4wxHSXlUiSNFCOA24YfV1QS97QSiRJU6mWvBawf4tXh5g+ZCuSJA2cvehc7PVU4L399IO52N7FQkxfZWynx4J+2+khSZpdteTVgMNavDbE5EkqkiQN3ryzAu9scSU6p6xJkjSVLmi/YwC2tA5JkgZy7nk1cHyLh9eS1+uXn83F9u63N52dHk+ncz89SZKmyrnAKm28jXVIkjSYQkyfAb7T4utryc+xFUnSVKglPw14fYv/E2L6jq1IkjSwjgP+CKzL2C3Nep6L7V0uxPR74IQWj+innR6SpNlTS348sEWL32inqUiSpMH1VmBpG19kHZKkKXI5MAQsAd5iHZIkDa4Q0x10LjIGeG8t+en98HO52N4bjgWuobPT4zDrkCRNgSsYe8NjC+uQJGmwhZh+Q+fUG4An1JJ3sBVJ0oqoJW8LPKnFU0NMf7EVSZIG3sXAN4A5wIJ++IFcbO8B99npsXM7fkmSpEmpJb8RiC2eFWL6k61IkiRgHnBnGy+sJa9mJZKkSc475wCnt/g34P22IkmSQkwjwFxgBHhle6+6p7nY3jsuAr5JH+30kCTNvFryMHB2i7cBu9mKJEkCCDHdAuzT4tp0TlmTJGkyTgTWaeP3hZiWWIkkSWpzz+8BHx19zVBLXqWXfx4X23vniTcC7E5np8erasnJViRJk3AEsF4bzw8x3WMlkiRpnA8Af2jjXWrJj7QSSdLyqCWvD+za4i9DTBfaiiRJuo/9gFuBx9E5Za1nudjeQ9pOj9F76J1US17ZViRJE1VLfhiwV4tXhpjOshVJknSfeedS4K0tzgE+ZiuSpOX0cSDQuWhoc+uQJEnLmHteDxzV4oG15If36s/iYnvv2Y/Osb+PA+ZbhyRpOVwArNTGW1mHJElalhDT14Avt/jyWvJLbEWSNBG15OcBr2jx0yGmn9qKJEl6AAuA3wJrAsf06g/hYnuPCTFdBxzZ4gG15I1sRZL0UGrJzwRe2+J/hZi+byuSJOlBbAeM3l/3glqy7x9IkibikvbxHsZOSpEkSbqfENNiYM8Wt68lP7cXfw4ny71pIZ2dHmvRwzs9JEkz6lJgCKjAW6xDkiQ9mBDTH+ncvx3gUcAutiJJejC15PcAj2nxmBDTrbYiSZIeYu6Zgf+i8971KbXkoV77GVxs780n3t3A+1t8R6/u9JAkzYxa8vbAE1pcEGK6yVYkSdIE7Avc0sbH1ZLXshJJ0gPMO1cGTm7xL8ChtiJJkiZoPp2T1V4IbNNr37yL7T0qxPQJ4It0dnos6sWdHpKk6VdLDsCpLd5M501zSZKkicw77wTmtbgasMhWJEkP4IPA6m28Q4hpxEokSdIE554/ba8lAI6vJa/eS9+/i+29bR6dnR4vAra2DknSMiygc9sRgHeHmJZaiSRJmqgQ0znAr1vcvpb8eFuRJI1XS94EeEeLPwwxfdpWJEnScjoEuAnYhB67YMzF9h7Wdnp8qMUTem2nhyRpetWSNwR2bvFnIaZLbUWSJE3C6DF+w8AF1iFJuo/L2++IEWAL65AkScsrxHQjcFCLe9WSH9Mr37uL7b3vYMZ2euxjHZKkcS4F5tB5w2Nz65AkSZMRYvo+MHqV4vNqyf9mK5IkgFryvwDPb/GiENOVtiJJkibpw8BPgVWB43vlm3axvce1nR4Ht7h3LfnRtiJJqiW/CHhpi58IMf3CViRJ0grYEbinjc+uJQcrkSQB57ePd7XfFZIkSZMSYqp0bqENsFUt+aW98H272N4fPsTYTo8TrEOSBFzcPi4GtrMOSZK0IkJMNwDHtbgRnqwmSQOvlrwP8PAWDwgx3WUrkiRpBeeeXwRyi4tqyV2/lu1ie3888Sowv8We2ekhSZoeteTdgUe1eHiI6XZbkSRJU+AI4MY2PriWvJ6VSNLAzjtXAw5r8doQ08m2IkmSpsiedC4iexY9cHKOi+19IsT0X4zt9FjYCzs9JElTr5a8CnBsizcAR9uKJEmaonnnYmCnFlemcz89SdJgOhdYpY23sQ5JkjSFc8/fAgtbPKqWvE43f78uyPaX99PZ6fFsvEeSJA2qM4DV2vjtIaYRK5EkSVMlxHQF8OMWN68lP91WJGmw1JIfD2zR4jdCTF+1FUmSNMWOBK4HNgAO6uZv1MX2PhJi+g1jOz2O7PadHpKkqVVLfjTwtha/F2L6vK1IkqRpsA0wAgwBF1uHJA2cK9rvgCXA5tYhSZKmWojpVmDfFnevJT+xW79XF9v7z+hOjw3p8p0ekqQpd3n73b4UeLN1SJKk6RBi+hnw8RafVkve2lYkaTDUkt8IxBbPCjFdZyuSJGmanAd8D1gJWNCt36SL7X2m7fTYr8Wu3ukhSZo6teR/BZ7b4vkhpj/YiiRJmkbvA+5q49NryatYiST1/bxzGDi7xduAXW1FkiRNlxDTUmBui6+rJb+mG79PF9v707mM7fQ42Tokqb/VkoeAj7V4J/BuW5EkSdMpxHQTcEiL6wKH24ok9b0jgPXaeF6IqVqJJEma5rnnN4CLWlxQSw7d9j262N6fT7zxOz3+rVt3ekiSpsz+wAZtvE+I6W4rkSRJM+AkYPT44D1qyQ+3EknqT7XkdYC9WrwyxHS2rUiSpBmyN3AH8GS68GQdF9v7VC/s9JAkrbha8hrAwS3+IcR0qq1IkqQZmncuAbYbjcA5tiJJfesiOqdoAmxlHZIkaQbnnn8EjmvxkFryBt30/bnY3t/2pnOccFfu9JAkTYnzgJXbeGvrkCRJMynE9EXgmy2+ppb8PFuRpP5SS34GMHpy5n+FmL5vK5IkaYadAPweeBhddhszF9v7WNvpcWyLh9SS17cVSeofteQnAW9q8SvtVBNJkqSZ9lZgaRtfVEseshJJ6iuXAUNABd5iHZIkaaaFmO4E9mnx3W0zYFdwsb3/jd/pcYR1SFJfuYLOGx5L8Bg/SZI0S0JMvwNG7927GbCjrUhSf6glvx14QosLQkw32YokSZqluefHga/RWd9e1C3fl4vt/f/E69qdHpKkyaslbwk8tcUPhphusBVJkjSL9gBub+MFteTVrUSSen7eGYDTWrwJ2NdWJEnSLNsdGAFeXkvevBu+IRfbB0C37vSQJE1OLXkY+HCLtwDzbUWSJM3yvPM2YK8W1wROtBVJ6nkLgLXa+D0hpqVWIkmSZnnu+SPgrBZPrCWvOtvfk4vtg2MuYzs93mwdktTTjgXWbePdQkzVSiRJUhf4EHBVG7+nlvwYK5Gk3lRL3hDYucWfhZgutRVJktQlDqRzEdqmdE5Zm1Uutg+IENMPGdvpcVI37PSQJC2/WvK6jF3J/usQ03m2IkmSumTeOQK8tcVh4GO2Ikk961JgDp2Ld7xwR5IkddPc8wbg8Bb3ryVvPJvfj4vtg6WrdnpIkibl40Cg84bHFtYhSZK6SYjpG8AXW3xJLflfbEWSekst+UXAS1v8jxDTL21FkiR1mVOBXwFr0DkJdta42D5Aum2nhyRp+dSSnwO8qsXPhph+bCuSJKkLbQ8saePzasm+9yBJveXi9nEx8HbrkCRJ3SbEtJixC4u3qyW/YLa+Fye8g+dU4Nd0wU4PSdJyu6R9vAfY1jokSVI3CjFdCyxocWNgnq1IUm+oJe8GPKrFw0NMt9uKJEnq0rnnZ4DPtbiwljw0G9+Hi+2D98RbzNi9frerJT/fViSp+9WS3wls1uLxIaa/2YokSepiBwGjr1eOqiWvYyWS1PXzzpWB41q8ATjaViRJUpfbA6jA84HtZuMbcLF9AN1np8ei2drpIUmamFpyABa1eCNwsK1IkqQun3feBezS4qp0TlmTJHW3s4DV2ni7ENOIlUiSpC6fe/4c+ECLx9SS15zp78HF9sE16zs9JEkTdhow+iJhxxDTUiuRJEndLsR0AfCLFt9WS36irUhSd6olPwp4a4vfCzF9wVYkSVKPOBT4C53bmO0/03+5i+0Dqht2ekiSHlot+RHAu1r8cYjpE7YiSZJ6yDbACDAEXGwdktS1rqDzXvFS4M3WIUmSekWI6WY6tzID2KOW/NiZ/PtdbB9shzKLOz0kSRNyGTCHzpvUm1uHJEnqJSGmHwG5xWfXkt9gK5LUXWrJ/wo8t8ULQkx/sBVJktRjzgQKsApw4kz+xS62D7DZ3ukhSXpwteSXAS9q8dIQ029sRZIk9aCdgMVtfHYtOViJJHXNvHMIOK/FOxk7WU2SJKlnhJiWALu3+OZa8stn6u92sV2zttNDkvSQLmwf7wZ2sA5JktSLQkx/AY5pcX3gQFuRpK5xALBhG+8TYlpsJZIkqUfnnl8GLm/xlFrynJn4e11s94k3azs9JEkPrJY8n85tPgAODjHdYSuSJKmHHUnnNmYA+9WSN7ASSZr1eecajJ16+YcQ06m2IkmSetxedC5ei8C7Z+IvdLFds7bTQ5K0bLXkVYGjW7wuxHS8rUiSpB6fd1bgnS2uDJxhK5I0685r/yYDbG0dkiSpD+aevwNOavHwWvK60/13utiuUTO+00OS9IDOBlZt47dahyRJ6gchpk8BP2zxjbXkZ9mKJM2OWvKTgTe1+JUQ0zdsRZIk9YljgGvp3MbskOn+y1xsFzA7Oz0kSfdXS34ssE2L3wox/Y+tSJKkPrI1MNLGF1mHJM2ay4EhYAmwlXVIkqR+EWK6Ddi3xV1qyU+Zzr/PxXaNN6M7PSRJyzT6hsdSYAvrkCRJ/STE9Cvg/BafXEv2FB9JmmG15C2Bp7b4wRDTDbYiSZL6zPnAt4EALJjOv8jFdv3dTO/0kCTdWy3534Bnt3hOiOkaW5EkSX1oN+DONv5ALXlVK5GkGZt3DgNntHgrMN9WJElSvwkxjQBzW/zX9t77tHCxXfc1Yzs9JEljaslDwEdbvB3Y2VYkSVI/CjH9DTiwxXWAo2xFkmbMscDD2njXEFO1EkmS1Kdzz28DH2txQS155en4e1xs132feDO200OSdC+H0rmNB8CeIaZ7rESSJPWxhcDoKT5za8kbW4kkTa9a8rqMXcn+6xDTebYiSZL63L50Lm57Ap1T1qaci+26n7bTY/TF9rTt9JAkddSS12TsNh6/DzF92FYkSVKfzzuXAm9vcQ5wrq1I0rS7mM5pliPAFtYhSZIGYO55LWOnqR1cS95wqv8OF9v1QPZjbKfH7tYhSdPqQmB0Y9OW1iFJkgZBiOl/gK+1+Mpa8otsRZKmRy35OcCrW/xsiOnHtiJJkgbEAuAqYG2m4TZmLrZrme6z0+Og6djpIUmCWvLTgNe3+D8hpu/aiiRJGiBvA5a28QW15CErkaRpcUn7eA+wrXVIkqRBEWK6C9izxR1ryc+eyq/vYrsezLTu9JAkAXAZMARUYCvrkCRJgyTEdDXwoRY3Bd5rK5I0tWrJOwKbtXhCiOlvtiJJkgZs7nkF8GU678Uvmsqv7WK7HuyJN607PSRp0NWStwGe3OKpIaa/2ookSRpAewG3tfEJteQ1rUSSpmzeGYCFLd4IHGgrkiRpQM2lc7LaS2rJb5mqL+piux5U2+nxJdpOD4/0k6SpUUueA3ywxb/ReZNZkiRpEOeddwDzW1wDONlWJGnKnAaMbmJ6Z4hpxEokSdKAzj1/DJzR4vG15NWm4uu62K6JmAcsAV6CRxxL0lQ5AVinjXcOMS2xEkmSNMDOBq5s4x1ryY+1EklaMbXkhwM7tVhCTNlWJEnSgDsIuBl4NFN0AZyL7XpIbafHmS1O2U4PSRpUteT1gd1b/EWI6SJbkSRJAz7vHAG2aXEYuNBWJGmFXd7+TR0B3mQdkiTJuWf6C3BYi/vWkh+5ol/TxXZN1JTv9JCkAfZxYA6dNzw2tw5JkiQIMX0H+GyLL6glv8pWJGlyaskvBV7U4qUhpt/aiiRJEtC5zc4vgNWA41f0i7nYrglpOz0ObXFKdnpI0iCqJf8T8IoWPxVi+pmtSJIk/d0OQG3j82rJc6xEkiZl9AS1u9u/rZIkSQJCTBWY3+I2teQXrcjXc7Fdy+MDjO30OME6JGlSLm0fFwNvtQ5JkqQxIabrgZNbfDiwp61I0vKpJc8HNm7x4BDTHbYiSZJ0r7nn54DPtLioljzpNXMX27U8T7wKzGtx6xXd6SFJg6aW/F7gMS0eHWK6zVYkSZLu5yDgpjY+rJa8rpVI0oTnnasCR7f4pxDT8bYiSZK0THsA9wDPBbaf7BdxsV3LJcT0ecZ2epyyIjs9JGmQ1JJXAk5q8S/A4bYiSZK0zHnnYuC9La4KnG4rkjRhH2n/dgJsZx2SJEkPOPf8FXBKi8fUkteazNdxoVSTMbrT4zmswE4PSRowHwJWb+N3hJhGrESSJGnZQkyXAD9p8S215KfaiiQ9uFryZsBbWvx2iOm/bUWSJOlBHQH8GdgIOHAyX8DFdi23ttNjUYvH1JLXthVJemC15E2Ad7T4wxDTZ2xFkiTpIW0DjABDwIXWIUkP6TI67/cuBTa3DkmSpAcXYvobcECL82rJj1ver+FiuybrSOAGOjs9DrAOSXpQlzP2hsebrUOSJOmhhZh+QmfhCOCZtWRfR0nSA6gl/xvw7BY/EmK6xlYkSZIm5Gzgh8DKjN0KdsJcbNekLGOnx+NtRZLur5b8L8DzW7w4xHSVrUiSJE3Ye4G72/jMWvLKViJJ95t3DgEfbfEO4H22IkmSNDEhpqXAvBZTLflVy/Pfu9iuFfERVmCnhyQNiPPbx7uAd1qHJEnSxIWYbgQOb3E94BBbkaT7OQRYv43nh5jusRJJkqTlmnt+FbikxQW15DDR/9bFdq3IE28pMLfFNyzvTg9J6ne15L2Bh7e4X4jpbluRJElabscD17fxXrXkDa1Ekv4+71wT2L/F34eYzrAVSZKkSdmbzkVzTwPeM9H/yMV2rZAQ09cY2+mxcHl2ekhSP6slr87YVVjXhJgW2ookSdKk5p2VsROCVqJzPz1JUseF7d9GgC2tQ5IkadJzz9/T2ewNcEQteb2J/Hcutmsq7EVnp8dT6dxPT5IE5wCrtPG21iFJkjR5Iab/BL7T4utryc+xFUmDrpb8NOD1Lf5PiOm7tiJJkrRCjgOuAdZl7GK6B+Viu1ZYiOnq9uQDOHyiOz0kqV/Vkh/P2BUF/9vu9yJJkqQVsw2wtI0vsg5J4jJgCKjAVtYhSZK0YkJMd9C5yBjgvW1z44NysV1T5Xjgj3R2ehxhHZIG3BV03vBYAmxhHZIkSSsuxHQl8NEWn1BL3sFWJA2qWvI2wJNbPDXE9FdbkSRJmhIXA98E5gALH+oPu9iuKdF2euzd4ntqyU+3FUmDqJb8RiC2eFaI6TpbkSRJmjLzgDvaeGEteTUrkTSA8845wAdb/BvwfluRJEmaGiGmEWB3YAR4ZS05Pdifd7FdU+li4Bt0dnossA5Jg6aWPASc3eJtwK62IkmSNHVCTLcC+7S4NnCsrUgaQCcA67TxziGmpVYiSZI0pXPP7zF2stpJteRVHujPutiuqXzi3XenxxttRdKAORJYr43nhpiqlUiSJE2504Gr23iXWvIjrUTSoKglrw/s1uIvQkwX2YokSdK02B+4FXgcnVPWlsnFdk2pENP3meBOD0nqJ7XkdYC9WrwyxPQRW5EkSZqWeedS4G0tzgE+ZiuSBsjHgUDnYpfNrUOSJGna5p7XAUe1eEAt+eHL+nMutms67Ednp8dmPMhOD0nqMxcBK7XxFtYhSZI0fUJMXwO+1OLLa8kvtRVJ/a6W/E/AK1r8VIjpZ7YiSZI0rRYCvwXWAo5e1h9wsV1TLsR0PZ2jlAEOfKCdHpLUL2rJzwBe0+IXQkw/tBVJkqRptx2wpI3PryX7Hoekfndp+7gYeKt1SJIkTa8Q093Ani2+o5b83Pv+GSeimi4L6ez0WBM41jok9bnLgSGgAm+xDkmSpOkXYroGOK3FRwG72oqkflVLfi/wmBaPDjHdZiuSJEkzMvfMwBfprAGcUkseGv//u9iu6XriLQb2aPHt7ZgrSeo7teTtgMe3eHKI6WZbkSRJmjH7Abe08bG15LWsRFIfzjtXAk5q8S/A4bYiSZI0o+bROVnthcDW4/8PF9s1bUJMnwT+i85Oj0X33ekhSb2ulhyAD7R4E503eyVJkjRz8847gbktrgYsshVJfeiDwOpt/I4Q04iVSJIkzejc86fAh1o8oZY8+trMxXZNu/mM7fTYxjok9ZkFwOjVU+8OMS21EkmSpJkVYvoo8OsW31FLfpytSOoXteRNgB1a/GGI6TO2IkmSNCsOpnPR3SbAPqOf9EpjzcSk4BRgN+Aa4EkhptttRVIf/Nu2AfAnYA7w0xDT021FkiRp1l6b/SPw/RavprMpUpL6wVxgU2Ap8LgQ01VWIkmSNGtzz12A04C7gCeHmH4frEUz4FDgrYzt9DjYSiT1gcvoLLSPAJtbhyRJ0uwJMf2glvwp4N+BR+Niu6T+c7EL7ZIkSbPuw8DOwNOA44G3eGW7ZsS4nR6S1G++HmJ6iTVIkiTN+rzzX4HP2YSkPrVRiOkGa5AkSZr1uee76Sy6AzzKe7ZrpnwY+Ik1SOpDz6olb2wNkiRJs6eWPAScaBOS+tj5ViBJkjTrc89h4H0tfiLE9EePkdeMCDHVWvJLgXVsQ1KfWAn4LPA44GjgHVYiSZI0a94KPL2NvwtsZSWS+sSZwCuBV9WSnxNi+r6VSJIkzZqdgGcCi4E9ATxGXpKkSaolvx74VIvPDzF9x1YkSZJm/DXZGsAfgYcBS4Gnhph+aTOS+uTfuDWBvwIrA1eGmB5nK5IkSbPyumwd4NfABsCxIab9ADxGXpKkSQoxfRr4QountONLJUmSNLMOobPQDvBhF9ol9dm88zbg2BY3qyW/01YkSZJmbe65AXAdndNuARfbJUlaUfOAJcDz6RxfKkmSpBlSS94UmN/ibcD+tiKp34SYDgH+0uIp7V6hkiRJmrm555OAXVvcL8R06+j/5wszSZJWQIjp58AHWjyuHWMqSZKkmXE6ENp47xDTzVYiqU+9o31cA/igdUiSJM2oBcBKwHeBc8f/Hy62S5K04g6lcw+9jYH9rEOSJGn61ZJfDry2xd8CZ9iKpH4VYvoM8KMWd6wlb2QrkiRJMzL3fO24uefcENPI+P/fxXZJklZQiOkm4KAW96wlP9ZWJEmSpk8teQ5w1rhPvSvEtMRmJPW5NwMjwBzgCuuQJEma9rnnSnSuage4MMT0zfv+GRfbJUmaGmcCBVgVON46JEmSptW7gce18WdDTF+2Ekn9LsT0O+DiFl9US36prUiSJE2rXYAnAXcAey/rD7jYLknSFAgxVWBei1u0Y00lSZI0xWrJD2Nsc2Ol8+aHJA2KHYC72vgi65AkSZq2uecGdG4hC3BsiOmaZf05F9slSZoiIab/Af6jxYXteFNJkiRNraOBNdt4QbvSU5IGZd55N3BAixvXkvewFUmSpGlxBLAO8HvgxAf6Qy62S5I0tfYE7gaeCbzLOiRJkqZOLflJwHtavBk4zFYkDZoQ08nAtS0eVUtexVYkSZKmdO75TGCnFvcKMd35QH/WxXZJkqZQu7JqQYtHtmNOJUmSNDXOYuy9jN1DTLdbiaQBtU37uCpwjnVIkiRNqUVt7vnVENOlD/YHXWyXJGnqHQX8CVgfOMQ6JEmSVlwt+XXA/2vxp8D5tiJpUIWYvgp8o8Wta8mPtRVJkqQpmXtuAbwMGAHmPtSfd7FdkqQpFmK6Ddi3xV1ryU+2FUmSpMmrJa8EnDHuU+8MMY3YjKQB92ZgCTAEXGEdkiRJKzz3XBU4ocUzQ0w/eqj/xsV2SZKmx8eA7wCBsWPlJUmSNDnzgE3a+LIQ03esRNKgCzFdD3ykxWe1E0AkSZI0eXsCmwK3AAdN5D9wsV2SpGnQrrQaPWLmNb7pIUmSNDm15A2Bw1tczASO8ZOkAfJe4PY2Ptc6JEmSJj333ATYr8XDQkw3TOS/c7FdkqRpEmL6FmP3El3Qjj+VJEnS8jkRWLWNjwwxXWslkvT3eedSYPcW168lH2YrkiRJk3IssAbwK+DUif5HLrZLkjS99qVzlcETgd2sQ5IkaeJqyc8CtmvxBsbunSdJakJMHwGuHJ2D1pLXtBVJkqTlmnu+AHhbi/NDTPdM9L91sV2SpGkUYroGOKbFQ9oxqJIkSZqYs8eNdw4x3WUlkrRMW7WPKwMXWockSdLE1JKHgEUtfi7E9J/L89+72C5J0vQ7CbgKWBs4wjokSZIeWi35LcA/tvjdENMVtiJJyxZi+j7wXy2+vpb8NFuRJEmakO2A5wEVmL+8/7GL7ZIkTbN2BdZeLe7UjkOVJEnSA6glrwac1uIIsKOtSNJD2orOm8RDwOXWIUmS9JBzzzXp3Ksd4LQQ0y+W92u42C5J0gwIMV0GfIXOmx6LbESSJOlB7Qes38bnhZiKlUjSQ847bwYWtPikWvK2tiJJkvSg9gceAfwFOGwyX8DFdkmSZs7uwFLgpbXkraxDkiTp/mrJjwT2bfFOYE9bkaQJ2we4uY1Pb/cglSRJ0v3nno8F9mjxwLZxcbm52C5J0gwJMf0YOLPF49vxqJIkSbq3U4GV2vjAENNfrUSSJjzvHAHe3eI6wMm2IkmStEwnAasAPwbOmuwXcbFdkqSZdRDwN+AxwPutQ5IkaUwt+UXAG1v8A3CKrUjS8gkxXQr8rMXdasnr2YokSdK95p7/DLypxbkhpiWT/VoutkuSNINCTH8GDm1x31ryJrYiSZIEteRh7n01wU4hpmozkjQpbwJGgDnA5dYhSZL097nnHGBRi5eHmL68Il/PxXZJkmbeB4BfAKsDx1uHJEkSANsDT2njL4WYPm8lkjQ5IaZfAZ9o8eW15H+yFUmSJKBzy50I3AXstaJfzMV2SZJmWIjpHmCPFrdtx6VKkiQNrFryWsDCFpcC77UVSVphbwMWt/Gl1iFJkpx75nWBI1o8OcT0uxX9mi62S5I0C0JMnwX+s8WF7dhUSZKkQXU4sHYbf6BdkSlJWrF55x2MvZn8mFrye2xFkiQNuEOAfwCuBY6eii/oG/uSJM2e+cA9wD8Bb7cOSZI0iGrJjwN2a/FW4CBbkaSpEWI6ErihxZNrycFWJEnSgM49nwLs2uK+Iabbp+LrutguSdIsaVdsndrise34VEmSpEHzIWBOG78/xPQ3K5GkKTW6uXt14MPWIUmSBtSCNvf8NnD+VH1RF9slSZpdhwN/BjYCDrAOSZI0SGrJrwRe2eKvgbNsRZKmVojp88D3W3xHLXljW5EkSQM29/w34F9bnBtiGpmqr+1iuyRJs6hduXVgi/NryZvZiiRJGgTtKOMzx31qxxDTUpuRpGnxRmApnfeDr7AOSZI0QHPPlelc1Q5wXojp21P59V1slyRp9p0F/AhYGTjZOiRJ0oDYGdi0jT8dYvqalUjS9Agx/RG4oMXn15JfYSuSJGlA7A48Abgd2G+qv7iL7ZIkzbJ2BdfcFlM7TlWSJKlv1ZLXA44djcAutiJJ025H4M42vsA6JEnSAMw9NwQOavGoENO1U/13uNguSVIXCDF9FbikxQXtWFVJkqR+dRywehufEGK62kokadrnnfcAe7f48FryPrYiSZL63FHA2sBVjB0lP6VcbJckqXvsA9wFPB14j3VIkqR+VEt+Gp2rKwFuBI60FUmaGSGm04A/tHhYLXlVW5EkSX0693z2uLnnniGmu6bj73GxXZKkLhFiugo4ocXD2/GqkiRJ/eYsYKiNdwsx3WElkjSjtm4fVwE+Zh2SJKlPLWpzzy+FmK6Yrr/ExXZJkrrLscA1wHrAYdYhSZL6SS05AS9o8cfARbYiSTMrxPQN4Kstbl5LfrytSJKkPpt7vgV4CbAEmDedf5eL7ZIkdZF2ZdfoPfR2bsesSpIk9bxa8irAh8Z9ascQ04jNSNKs2JLOm89DwBXWIUmS+mjuuRpwfItnhph+PJ1/n4vtkiR1n4uAbwJzgAXWIUmS+sT7gYe38cUhpu9ZiSTNjhDTDYxtgIq15DfZiiRJ6hN7AY8GbgYOmu6/bMi+JUnqPrXk5wLfab+r3xhiyrYiSZJ6+LXNw4Gr6Nwf+G5g0xDTdTYjSbP6b/MwnTeh1wJuBNb3xBFJktTjr28eCfwKWA2YH2JaON1/p1e2S5LUhdqVXue2eFIteWVbkSRJPWwBnYV2gCNcaJekrph3LgV2bXE94ChbkSRJPe54OgvtvwBOm4m/0MV2SZK6137AbcDjgPnWIUmSelE7sWfrFq8DTrAVSeoOIabzgN+0+P5a8lq2IkmSenTu+SJgmxbnhZjqTPy9LrZLktSl2hVfR7Z4QC15I1uRJEm9pJY8BHxk3KfeG2JabDOS1FXeDIwAKwGXWIckSerBuecw/P/27itQs6o+G/gzsuiK2ECxYo1lW2NNbEnUmJhsxRqNJQpqLMwMZWgz9CKDMDNgBYyKRrG7NcZo8pkYE2vU6DYau7EGLCgodcN8F++azKiUKae85fe7Oft5bzjnuRjO2v+z1srpNX6gNO2HFuq/bdgOAONtbZJvZnSH3knqAAAmzF8kaerzJ0rTdioBGC+lafsk/1DjY4a+u6dWAIAJ8+wk90tyRZIDFvI/bNgOAGOsNO1lSQ6q8Tn1GFYAgLE39N0uSc6ocX2S/bQCMLaemtHL6SVJ3qUOAGCC1p6bblQ7vTTt1xbyv2/YDgBjrjTte5P8U0YvPdbV41gBAMbdqiQ3rs9/U5r2v1QCMLbrzouSvLzGOw599yytAAATYmWSPZP8OMlxC/0fN2wHgMmwPMmVSR6S5GnqAADG2dB3t83G03kuTrJCKwBj74gkP6vPr6h3nwIAjPPa8w5Jlm34XaY07S8W+nvwCxMATIDStF9K8poaV9djWQEAxtUrkpT6fGhp2p+pBGDs153rkzyvxhskOV0rAMCYOzXJDkk+n+R1i/ENGLYDwOQ4MskFSW6V5BB1AADjaOi7hyV5XI3fSfJqrQBMhnqNWV/jC4e+20MrAMCYrj0flaStcVlp2qsW4/swbAeACVF3hB1Z44qh726jFQBgnNQjhzfdTfD80rSDZgAmyj5J1ifZLsk71AEAjOHasyRZU+PbS9P+62J9L4btADBZXpPky0l2SnKKOgCAMbNvkjvW538qTfuPKgGYLKVpv5HknTU+bOi7h2gFABgzL0hy9ySXJlmxmN+IYTsATJC6M2xZjU8Z+u6hWgEAxsHQdzdM8vIar0zyQq0ATKxnJbmsPr9NHQDAGK09b5zkuBpPKU37P4v5/Ri2A8CEqTvEuhrX1eNaAQAW2wlJblCfzyhN+02VAEzsuvPSbLzG7FZD371UKwDAmDgmyY2S/CDJyxb7m/FyHgAm00FJLk9ynyTPUwcAsJiGvrtzkr+u8cJsHNAAMKFK065O8r81njz03fZaAQAWee15903WngeXpr14sb8nw3YAmED1Dr21NR5fj20FAFgsZ2bjO4blpWkvUgnAVHhG/bpzktepAwBYZGuTbJfkE0nOHYdvyLAdACbX8UnOS7JHklXqAAAWw9B3j03y8Bq/muQNWgGYDqVpP5LkUzU+Y+i7W2sFAFiktWeb5I+SrE+yf2na9ePwfRm2A8CEqjvGDqtx/3p8KwDAgqlHCr92k4+eW5r2Ks0ATJV9klyV0bvk96gDAFiEtecOSU6t8Y2laf9jXL43w3YAmGxvTPLZJNsnOU0dAMACe2mSDbscu9K0H1cJwHQpTfvDbDy15H5D3z1GKwDAAlue5A5JNt2ANhYM2wFggtWdY/vX+KdeegAAC2Xou5tldK1NklyR5CVaAZhaL0hycX0+Rx0AwAKuPW+e5IgaTyhN+7/j9P0ZtgPAhKs7yN5a49qh74pWAIAFcEqSnevzyaVpv68SgKlddw4Z7ShLkj2GvlupFQBggZyY5AZJvplk7bh9c4btADAdViS5JMnvxK4yAGCeDX13zyTPqvEnGb38AGCKlaY9M8n/1Lhq6LtdtAIAzPPa83eTPKfGg0rTXjZu36NhOwBMgbqT7GU1HjX03U21AgDMo9clWVKfX1Ka9hKVAMyEJ9evOyR5szoAgPky9N2SJOvq2vOfStO+dxy/T8N2AJgepyT5bpLdkxynDgBgPgx996Qkv1vj55K8XSsAs6E07WeS/HONjx/67s5aAQDmydOSPCTJldl4nc3YMWwHgClRd5StqHG/erwrAMCcGfpupySv3OSjfUvTrtcMwEx5UpIho11m71EHADAPa89dkqyu8TWlab80rt+rYTsATJHStG9L8rEk22V0xA4AwFw6JMke9flvS9N+XiUAM7fu/FmSV9R4t6HvnqwVAGAe1p63SnJBkiPH+Rs1bAeA6bM0yfokjxj6bh91AABzYei7WyY5vMZLkxygFYCZdUCSX9TnM+udqgAAc7H2vE02nuB6ZP1Dv7Fl2A4AU6buMDu7xlPrca8AANtqXZId6vPRpWnPVwnAzK471yf56xp3z8ZjXgEAttUpSXZK8uUkrxn3b9awHQCm08okFya5Xew6AwC20dB3D0ryxBp/mGSNVgBmW2natyb5ao3Lhr7bXSsAwDauPR+a5Ckbfr8oTTuM+/ds2A4AU6juNDu2xsOHvttLKwDA1qhHA5+9yUfPL017uWYASLJPRteYlSRvVwcAsA1rz+tldKJakryvNO0/TsL3bdgOANPrjCRfT7JrkpepAwDYSs9Ocvf6/G+laT+gEgCSpDTtl5P8XY2PGvrufloBALbSc5PcJ8nlSQ6clG/asB0AplTdcba8xmcOffdArQAAW2Lou+tn45Hx65M8XysA/IanZ/RSPLG7HQDYurXnDZOcUOPa0rTfmJTv3bAdAKZY3Xn2DzWuq8fAAgBsrqOT7F6fX1ua9isqAeA31p2/THJSjbcf+u55WgEAttDKJHskOS8bh+4TwbAdAKbfAUmGJA9M8kx1AACbY+i72ydZVuOvkhyuFQCuTmnao5P8pMZ19c5VAIDNWXveOcnSGg8vTXvhJH3/fukBgClXd6C9ssaT6nGwAADX5VVJtqvPh5SmvUAlAFyL59SvuyZ5jToAgM10apLtk3w2yRsm7Zs3bAeA2XBMRrsM9kpymDoAgGsz9N0fJHlMjd+KoQkA16FeY/b5Gp879N2eWgEArmPt+Zgkj6tx/9K0V03az2DYDgAzoO5EW1XjgUPf7a0VAODqDH1Xkpy1yUf7lqa9UjMAbIZ9kqzP6GSUd6sDALiOtefaGs8tTfvxSfw5DNsBYHaclaRPsmOSl6sDALgGL0hy+/r8odK0/6wSADZHadrvJDm3xocMffcwrQAA1+DFSX4nySVJDp7UH8KwHQBmRN2Rtn+N+wx99witAACbGvruRklOrvHKJH+tFQC20HOSXFqf36oOAOBq1p43SXJ0jSeXpv3+pP4shu0AMENK0/5LNh7ld/rQd9tpBQDYxElJdq3Pa0vTflslAGzhuvPyJIfXuNfQdwdoBQD4Dccn2T3J95KsnuQfxLAdAGbPQUkuS9Ik2U8dAECSDH13tyTPr/Hn2bjLAAC2SGnaNUl+WOMJQ9/tqBUAoK49N30vfXBp2ksm+ecxbAeAGVN3qJ1a43H1uFgAgDOTLKnPy0rT/lIlAGyDv6hfd0ryenUAANW6JNsl+ViSt0/6D2PYDgCz6aSMdhncNMlR6gCA2Tb03Z8l+b0a/yvJOVoBYFuUpv3XJB+v8WlD3+2tFQCY+bXnPkkemWR9Rn/kvX7SfybDdgCYQXWn2qE1vnjou7tqBQBm09B3OyR5zSYf7TsNLzwAGAv7JLkyo5NT3q0OAJjptedOSV5e4+tK035uGn4uw3YAmF1vTvKpJCXJGnUAwMw6IMle9fldpWk/qRIA5kJp2vOSvK7Gew999zitAMDMWp5k7yQXJlk5LT+UYTsAzKi6Y21pjY8Z+u5PtQIAs2Xouz2THF3jFZv8bgAAc+Wvk/yyPru7HQBmc+25V5LDazy+/kHeVDBsB4AZVpr2U0neVOOaeowsADA7TkuyY30+oTTtD1QCwByvO6/Kxj/muunQd8dqBQBmzolJrp/k60nWTdMPZtgOABya5FdJ7pTkpeoAgNkw9N19kzy9xvOTnKwVAOZDadq/SfKtDWvQoe+urxUAmJm15wOSPLvGA0rTXj5NP59hOwDMuNK0P0xyQo1HDn23h1YAYLoNfbckG+/QTZIXl6a9VDMAzKMn1a/bJ3mLOgBgZtaep9f44dK0fzdtP6NhOwCQJGuSfCfJbtk4eAcAptdTk9y7Pv9Hadp3qgSA+VSa9vNJPlzj44a+u7tWAGDqPSPJA5NcmWTZNP6Ahu0AQOpOtgNrfN7Qd/fRCgBMp6HvdknyihrXJ9lXKwAskKcmGZIsSfIudQDAVK89d83G68peWZr2K9P4cxq2AwBJktK0707yLxm99FinEQCYWocnuUl9Pqc07RdUAsACrTt/ntHJaklyl6Hvnq4VAJhahyXZK8lPkxw9rT+kYTsAsKmlGR3p89Ch756qDgCYLkPf3SbJihovSXKwVgBYYIck+Xl9flW9yxUAmK61597ZeJLqqtK0F0zrz2rYDgD8n9K0X0xyVo2rh77bWSsAMFVOT7J9fV5ZmvbHKgFggded65PsV+MNk6zVCgBMndVJdkrSZ+P75qlk2A4A/KZVGe0yuE3sdgOAqTH03e8naWv8fpIztALAYihN+84kX67xxUPf3UQrADA1a89HJHlSjctK0w7T/PMatgMAv6Y07U+y8Q6dQ4e+u5VWAGCyDX13vSSv2+Sj55emvUIzACyiJyRZn2S7JO9QBwBMxdpzu2w8teY9pWk/Mu0/s2E7AHB1Xpnkv5PsnOQUdQDAxHtukjvX54+Wpv2gSgBYTKVpv5bkvTU+cui7B2gFACbevknuleSyJAfNwg9s2A4A/JZ6tM+yGp829N1DtAIAk2nou92SnFrjVUleoBUAxsQzklxen9+uDgCY6LXn7kmOq3FNadpvzcLPbdgOAFyt0rQfSvKBGk+vx88CAJPnuCS71edXl6b9qkoAGJN15yVJjq3xtkPfvVArADCxjkpysyQ/SnLCrPzQXpoDANfmgCRXJLlfkmerAwAmy9B3d0rykhovSnKEVgAYJ6VpT0hyfo2nDn1XtAIAE7f2vMsma8/DStP+clZ+dsN2AOAa1Tv01tV4Uj2GFgCYHK/eZO2/ojTtL1QCwBh6Zv26S5Iz1QEAE2dtkpLkM0nOmaUf3LAdALgux2e0y2DP2A0HABNj6LvHJPnDGr8RwwsAxlRp2g8n+Y8anz303V5aAYCJWXs+Nskf17h/adr1s/TzG7YDANeq7oBbWeOyoe/uqBUAGG/1CN5Nh+v7lqa9SjMAjLEnJLkqo3fW71EHAEzE2nP7jHa1J8nflqb95Kx1YNgOAGyO1yX5fJIdkrxcHQAw9l6S5Db1+QOlaT+qEgDGWWna7yd5c40PGPruD7UCABOx9rxzkouTHDKLBRi2AwDXqe6EW1pjO/Tdo7QCAONp6LubJDlxQ8zo5QcATIJ9k1xSn9+sDgAY67XnHkmOqvHE0rQ/mMUeDNsBgM1SmvZjSd5e49p6PC0AMH5OSbJzfX55adrvqASACVl3XpFkRY03H/ruEK0AwNg6LskNk3wnyWmzWoJhOwCwJQ5OcmmSuyV5oToAYLwMfdckeU6NFyQ5XisATJLStK9I8r0ajxn6bietAMDYrT3vndGJNEmyojTtJbPahWE7ALDZStN+N8nqGo8d+u7GWgGAsXJ2kiX1ef/StL9SCQAT6Kn1645xnDwAjKO1Gc2ZP1qa9h2zXIRhOwCwpU5O8v0kN0pyrDoAYDwMfbdPkgfU+MUkf6sVACZRadpPJPlojfsMfXdHrQDA2Kw9n5zk4UmuSrJs1vswbAcAtkhp2ouz8Q69Fw59dw+tAMDiqkfsvmqTj/YrTbteMwBMsCcnuTKjE1verQ4AGIu1587ZePLp2aVp/3PWOzFsBwC2xrlJPp5kuyRr1AEAi+6gJHvW57eXpv20SgCYZKVpf5zk1TU2Q989XisAsOgOTHK7JL9IslIdG+9xAwDYIkPf3S/JZ+rvE08oTfterQDAovw/ea8k306yQ5LLkuxdmvZHmgFgCv4fd70kFyTZLcnPktzUyS0AsGj/X75lkq8l2SXJAaVpbcKKne0AwFYqTfvZJG+o8dSh73bUCgAsijUZDdqT5HiDdgCmaN15VZKX1njjJCdqBQAWzckZDdq/luQV6hgxbAcAtsVhSS5Kcvsky9QBAAtr6LsHJHlKjeclOUUrAEyT0rTnJPl6jQcOfbebVgBgwdeeD0ryjBqXlaa9Qisjhu0AwFYrTXtekhNqXDn03c21AgALY+i7JUlet8lHLyxNe5lmAJhCT0qyPsn2Sd6mDgBY8LXn6TV+sDTtB7WykWE7ALCt1iT5ZpLrJzlJHQCwYJ6Z5B71+VOlad+rEgCmUWnaLyb5hxofM/TdvbQCAAvm2Unun2RIslwdv86wHQDYJqVpL09ywIZfvIa+u79WAGB+DX23a5K1Na5Psp9WAJhyT01yRZIlSd6pDgBYkLXnDZKcWOMZpWm/qpVfZ9gOAGyz0rTvS/KPGb30WFePFgIA5s+RSW5Un19fmrZXCQBTvu68KMkpNd5x6LtnaQUA5t3hSW6R5MdJjlXHbzNsBwDmyvIkVyZ5cJK/UAcAzI+h7/bOxlNlLkmyQisAzILStEck+VmNrxj6zvttAJi/tefts/HY+FWlaX+uld/mlxEAYE6Upv2vJK+ucfXQd7toBQDmxSuSlPp8eGnan6oEgBny3Pr1BklOVwcAzJuXJ9kxyReSnK2Oq2fYDgDMpaMy2mVwyySHqgMA5tbQd49I8ic1/k9Gg3cAmBmlabskX6zxhUPf3UwrADDna88/SPKEGpeWpr1SK1fPsB0AmDOlaX+W0R2ySXLw0He30woAzI2h77bLr+8meEFp2kEzAMygJyZZn2S7JO9SBwDM6dqzJFlX4ztL035UK9fMsB0AmGuvTfKlJDslOVkdADBnnp/kDvX5/5Wm/ZBKAJhFpWm/keSdNT506Lvf0woAzJn9ktwjyaVJDlbHtTNsBwDmVN1ht6zGpwx99zCtAMC2Gfpu9ySra7wqyV9rBYAZ98wkl9Xnt6oDAOZk7XmjJMfXeGpp2u9o5doZtgMAc6407f9L0tW4bug7v3MAwLY5Mcn16/MZpWm/rhIAZnzdeVk2XmN266Hv9tcKAGyzo5PcOMkPk5ykjuvmxTcAMF8OSHJ5knsn2VcdALB1hr67a5IX1HhhNg4WAGCmlaZdneR/a3zZ0HfbawUAtmnt+eIaDylN+yutXDfDdgBgXpSm/VaSNTUeP/TdDbUCAFvlNZus3w8sTXuhSgDg/zy9ft05yevUAQBbbW2S7ZJ8MsnfqmPzGLYDAPPphIx2GdwsduEBwBYb+u5Pkzysxq8l+RutAMBGpWn/OcmnanzG0He31goAbPHa88+SPLrGpaVp12tl8xi2AwDzpjTtRUkOq/GlQ9/dRSsAsHmGvtsho13tGzyvNO1VmgGA3/KEJFdl9L77veoAgC1ee55a4xtL035aK5vPsB0AmG/nJPlMku2TnKYOANhsS5Pcqj6/rzTtv6kEAH5badofJXl9jfcd+u7RWgGALVp73inJL5Mcro4tY9gOAMyrugNvWY1/MvTdY7UCANdu6Ls9khxb4xVJXqoVALhWL0xycX1+kzoAYLPWnnsmWVnjiaVpf6iVLWPYDgDMu9K0H0/ylhpPG/pue60AwLV6eZKd6vPq0rTfVQkAXOu6c0hyQI17DH23SisAcJ1OSLJbkm/HqaRbxbAdAFgoKzLaZfA7SV6sDgC4ekPf3SfJM2v8SZITtQIA16007WuTfKfGlUPf7aoVALjGted9kzy3xgNL016mlS1n2A4ALIjStD9I8rIajx767mZaAYCrdfYmz/uXpr1YJQCw2Z5av+6Q5M3qAIDfNvTdkiTrkixJ8s+lad+jla1j2A4ALKSXJ/mfJDdMcpw6AODXDX331CT3rfE/k5yrFQDYfKVpP53kIzW2Q9/dRSsA8FuekuT3k1yZZKk6tp5hOwCwYErTXpLRcfJJst/Qd/fUCgCMDH23c5IzNvlo39K06zUDAFvsSUmGjHbr2akHAL+99jylxrNK0/Za2XqG7QDAgipN+/Yk/1p/DzldIwDwfw5LsuGalbeUpv2sSgBgq9adF2TjH7Dddei7J2sFAP7PiiS3TvLzJCvVsW0M2wGAxbA0yfokDx/67knqAGDWDX13qySH1nhZkgO0AgDb5MAkv6jPZ9a7aQFg1teet05ySI1Hlab9qVa2jWE7ALDgStP+Z5Kzajxl6LudtALAjDs9yfb1+ejStOepBAC2ad25PskLa9w9yclaAYCsTrJzkq8keZU6tp1hOwCwWFZltMvgdhntOACAmTT03UOSPKHGHyU5TSsAsO1K056b5L9rXD703e5aAWCG156/l+RpG/6/WJp20Mq2M2wHABZFadrzkxxb4+FD391SKwDMmqHvrpfkdZt89MLStJdrBgDmzBMzusasJHmHOgCY4bXnuhr/rjTth7QyNwzbAYDFdEaSryXZJcnL1AHADHpOkt+pz/9WmvZ9KgGAuVOa9stJ3l/jHw19dz+tADCja8/7JbkiThmdU4btAMCiKU17RZLlNf7l0HcP0goAs2Lou92y8cj4Te+VBQDm1jOSbDg55u3qAGAG154n1riuNO3XtDJ3DNsBgEVVmvbvk/zDhl/2hr5bohUAZsTRSW5Yn88sTftfKgGAeVl3/jIbhwy3H/puX60AMEOOSLJnkvOTHKeOuWXYDgCMg2VJhiQPSPIsdQAw7Ya+u2OS/Wv8VZLDtQIA86c07TFJflLj2qHvttMKADOy9txwsugRpWkv1MrcMmwHABZdadqvJnlFjScNfXd9rQAw5V6VZMNL/kNL0/5MJQAw755dv+6a5NXqAGAGnJpk+ySfT/I36ph7hu0AwLjYsMvgFhkdbQQAU2nou0cleVSN307yGq0AwPyr15h9vsbnDX23p1YAmPK155/XuLQ07VVamXuG7QDAWChN+/MkK2tcPvTd3loBYNoMfVeSnLnJR/uVph00AwAL5glJ1mf0bvzd6gBgiteea2t8W2naj2llfhi2AwDj5OwkX0iyY0ZHHAHAtPnrJLerzx8uTfv/VAIAC6c07f8keWuNDxn67uFaAWBK1553S3JpkhXqmD+G7QDA2ChNe2WSZTU+Yei7P9AKANNi6LsbJ3lZjVdm9PIDAFh4f5XR8CFJ3qIOAKZw7XlMjSeXpv2uVuaPYTsAMFZK0/5LknfWuLYeeQQA0+DkJLvU53Wlab+lEgBYlHXn5UkOr3Gvoe8O0AoAU+S4JDdK8v0kq9UxvwzbAYBxdHBGuwyaJPupA4BJN/TdPZI8r8ZfJDlaKwCweErTrknygxpPGPpuB60AMCVrzxfUuKI07cVamV+G7QDA2ClN+51svLP9uKHvbqQVACbca5Msqc/LS9NepBIAWHR/Ub/ulOSN6gBgCqxJsl2Sjyc5Vx3zz7AdABhXJyX5YZKbxO4/ACbY0HePT/KQGr8cL/MBYCyUpv1Ykn+v8alD391eKwBM+Nrzj5KsT7J/adr1Wpl/hu0AwFgqTfurJIfU+OKh7+6qFQAmzdB3OyZ59SYf7Vea9irNAMDYeGKSKzM6geZd6gBggteeG04KfUNp2s9qZWEYtgMA4+xvk3wyo6OP1qoDgAl0YJKb1+d3l6b9uEoAYHyUpj0vydk13nvou8dpBYAJtCzJ7ZNclOQwdSwcw3YAYGzVo46W1vjooe/+TCsATIqh726e5Mgar9jk/2kAwHh5UZJf1uc3qAOACVx7rqzxhPqHZCwQw3YAYKyVpv10Nt5te+rQdztoBYAJsTbJjvX5xNK031cJAIzluvOqJPvXeJOh747VCgAT5KQk10/yzSRr1LGwDNsBgElweEa7DO4UuwIBmABD390/yVNrPD/JyVoBgPFVmvb1GQ0pkuTQoe+urxUAJmDt+btJnl3jgaVpL9fKwjJsBwDGXmnaHyY5scaVQ9/tqRUAxtXQd0uSnLXJRy8tTXuJZgBg7D25ft0+yVvVAcAErD1PT7IkyT+Wpu20svAM2wGASXFakm8n2S3JCeoAYIw9Pcm96vNnS9O+XSUAMP5K034+yYdr/NOh7+6uFQDG2F8keXCSK5MsV8fiMGwHACZCadrLkhxY43OHvruvVgAYN0Pf7ZrRzoIN9tUKAEyUpyYZMtol+C51ADCma89dkqyu8dWlaf9LK4vDsB0AmBilad+T5J8zeumxrh6VBADj5IgkN67P55Sm/U+VAMBErTt/ntHJaklyl6Hvnq4VAMbQoUlumeSCJEepY/EYtgMAk2ZpRkcj/X6Sp6gDgHEx9N3tkhxc46WbPAMAk+XQjIYXSfJqf+gNwJitPW+7yXpzVWnan2ll8Ri2AwATpTRtn+TMGk8Z+m5nrQAwJs5IUurzqtK056sEACZy3bk+yX417pZkrVYAGCOrk+yU5EtJXquOxWXYDgBMolVJfp7k1kkOUQcAi23ou4cleVyN38+v39sOAEyY0rTvSrLh/tsXD313E60AMCZrzw2nfS4vTTtoZXEZtgMAE6c07U+z8S6iFUPf3VorACyWoe+ul+TsTT56YWnayzUDABNvnyTrk2yX5B3qAGAM1p7rauxK0/6TVhafYTsAMKleleTLSXbO6OgkAFgsz09yp/r8r6VpP6ASAJh8pWm/luQ9NT5y6LsHagWARfS8JPdOcnmSA9UxHgzbAYCJVI9IOqDGpw199/taAWChDX13w2z8o6+rkrxQKwAwVf4yo6FGkrxNHQAs4trzhBrXlqb9plbGg2E7ADCxStN+KMn7a1xXj1ICgIV0fJIb1OfXlqb9ikoAYKrWnZckOabG2w595w/rAFgMq5LcLMl5dR3KmPBCGgCYdAcmuSLJfZM8Rx0ALJSh7+6S5EU1/jLJ4VoBgOlTmvbEjIYbSXLq0HdFKwAs4Nrzzkn2r/HQ0rQXaWV8GLYDABOtNO3Xk6yt8aSh73bTCgAL5DWbrKtXlKb9uUoAYGo9q37dJcmZ6gBgAa1Jsn2S/0hyjjrGi2E7ADANjk9yfpI9kqxUBwDzbei7xyZ5RI3fjJfuADDVStN+OKMhR5I8e+i7W2oFgAVYe/5xkj+pcWlp2qu0Ml4M2wGAiVea9sJsPLp32dB3d9QKAPNl6Lvtk7x2k4/2LU17pWYAYOo9IclVGb1Xf7c6AJjntWfJaFd7kry1NO3HtTJ+DNsBgGnx+iSfz+hIpdPUAcA82j/Jrevz35em/ReVAMD0K037/SRvqvEBQ9/9kVYAmEcvSfI7SS5JskId48mwHQCYCvUIpf1r/LOh7x6tFQDm2tB3N0ty3IaY0csPAGB27JfR0CPZOHgHgLlee940yVE1vqz+wRdjyLAdAJgapWn/Lcm5Na6pRy0BwFw6JcnO9fm00rTfVgkAzNS684okB9d486HvDtEKAPPguCS7J/mfug5lTBm2AwDT5pCMdhncLcmL1AHAXBn67t5JnlXjBdm4wx0AmCGlaV+Z5Hs1HjP03U5aAWAO1573TPL8Gg8pTXuJVsaXYTsAMFVK0343yeoajx767iZaAWCOnJlkSX1eVpr2lyoBgJn11Pp1xyRvVgcAc2hdRjPcj5WmfZs6xpthOwAwjU7OaJfBjZIcqw4AttXQd09Ocv8a+7ijFQBmWmnaTyT5aI37DH13J60AMAdrz32SPCLJ+iRLNTL+DNsBgKlTj1ZaUeMLhr5rtALA1hr6buckZ2zy0X6laddrBgBm3pOTXJnRyTfvUgcA27j23CnJqTW+rjTt57Uy/gzbAYBp9bYk/55kuyRr1QHANliRZM/6/I7StJ9SCQBQmvbHSV5dYzP03RO0AsA2OCDJ7ZJcmOQIdUwGw3YAYCrVHYf7Z3Tk0h8Mffd4rQCwpYa+u2U2vuS4PMkyrQAAm9g/yUX1+XXqAGAr1557JTm8xmNL056vlclg2A4ATK3StJ9L8jc1njb03Y5aAWALrUuyfX0+vjTtD1UCAGyy7lyf5EU13mjou5O0AsBWeFmSXZN8Pb9+jRljzrAdAJh2R2S0y2DvjI5iAoDNMvTdg5M8scbzkpyiFQDgN5WmfXNGw5EkOXDou920AsAWrD0fmOSZNS4vTXu5ViaHYTsAMNVK056X5LgaDx/67hZaAeC6DH23JMlZm3z04tK0l2oGALgGT8zoGrPtk7xNHQBswdpzXY0fKk37Aa1MFsN2AGAWrEvyjSTXT+JIPwA2x7OT3L0+f7o07btUAgBck9K0fZIP1viYoe/upRUANsNfJnlgkiHJcnVMHsN2AGDq1aOXNhwh/6yh7x6gFQCuydB3N0iypsb1SfbTCgCwGZ6W5IokS5K8Ux0AXMfa8/oZ3dWeJK8sTfsVrUwew3YAYCaUpn1/kg9n9NJjXT2iCQCuzpFJdq/Pry9N+0WVAACbse68KMkpNd5x6LtnawWAa3FYkr2S/CTJMeqYTIbtAMAsWZ7kyiQPSvJ0dQDwm4a+u302Ht13cZJDtQIAbK7StEck+WmNZwx95x08AFe39tw7yYE1Hlma9gKtTCb/owcAZkZp2i8neVWNq4e+21UrAPyGVyXZrj6vLE37Y5UAAFvoufXrDZK8Qh0AXI1TkuyYpE9ypjoml2E7ADBrjkrys4yOaLJbEYD/M/TdHyZ5TI3fjZfjAMBWKE37viQbrqF5/tB3e2gFgE3Wno9I8sQal5amvVIrk8uwHQCYKfVIppU1HjT03e20AsDQdyW/vpvgBaVpr9AMALCV9kmyPqMTc96pDgDq2nO7JOtqfHdp2n/WymQzbAcAZtFZSb6UZKeMjmwCgBckuX19/ufStP+gEgBga5Wm/WaSd9T40KHvHqIVAJLsl+SeSS5LcpA6Jp9hOwAwc0rTDkmW1vikoe8erhWA2TX03Y2TnFzjVUleqBUAYA48K6NhSpK8TR0AM7/23D3JcTWeVpr221qZfIbtAMBMKk37kSTvqXFdPcIJgNl0YpJd6/MrS9N+TSUAwBysOy9LsqrGWw19t1QrADPt6CQ3TfKjug5lChi2AwCz7KCMdhncK8m+6gCYPUPf3T3J82u8MBtfiAMAbLPStKdkNFRJkpOGvtteKwAzufb8nSQvrvHQ0rS/1Mp0MGwHAGZWadpvJVlT43H1KCcAZstrkiypzweXpv2FSgCAOfaM+nXnJH+jDoCZtCZJSfLpJG9Sx/QwbAcAZt2JGe0yuFmSI9UBMDuGvvvzJL9f49eSnK0VAGCulab95ySfrPHpQ9/dRisAM7X2/JMkf1zj0tK067UyPQzbAYCZVpr2oiSH1fjSoe/uohWA6Tf03Q5JXr3JR/uVpr1KMwDAPHlCkqsyeif/HnUAzNTac8PJmm8qTftJrUwXw3YAgOScJJ/J6CinteoAmAkHJNmrPr+vNO2/qgQAmC+laf83yetrvO/Qd4/RCsBMeEmSOyf5VTZu+GGKGLYDADOvHt20f41/PPTdY7UCML2GvtszyVEbYpKlWgEAFsALMhq2JO7rBZiFtecem6w9TypN+wOtTB/DdgCAJPUIp7+tce3Qd9trBWBqnZZkp/q8ujTtd1QCACzAuvPKJMtrvNnQd6u0AjDVjkuyW5LvJDlVHdPJsB0AYKNDklyc0dFOL1EHwPQZ+u5+SZ5e40+TnKAVAGChlKY9K6OhS5KsHPpuV60ATOXa895J9qvxoNK0l2plOhm2AwBU9SinE2s8qh71BMCUGPpuSZKzNvlo/9K0F2sGAFhgT6lfd8jGE9YAmC6nJ1mS5KOlad+ljull2A4A8OtOy2iXwQ0zOuoJgOnxtCT3qc9fSPJWlQAAC6007WeSfKTGPx/67i5aAZgeQ989JclDk1yVZH+NTDfDdgCATZSmvSTJwTXuW498AmDCDX23S5IzNvlov9K06zUDACySJycZMtr1+B51AEzN2nPnJKtrPKs07Re1Mt0M2wEAfkNp2ncm+Wj9XWmtRgCmwmFJblKfz607ygAAFmvd+bNs/EPAu9ZdkABMvoOS3DbJL5KsUsf0M2wHALh6SzM66unhQ989WR0Ak2vou9skObTGy5Is1woAMAYOzGgYkySvHfpuiUoAJnrtectN1p5Hl6b9sVamn2E7AMDVKE37hSRn13hKPQIKgMl0RpJSn48pTfu/KgEAxmDduT7JC2vcPckpWgGYaKuT7JLkv5O8Uh2zwbAdAOCarcxol8FtM9pxAMCEGfruoUn+vMYfJTlNKwDAuChNe25GQ5kkWTr03e5aAZjItedDkjy9xgNK016hldlg2A4AcA3qUU9H13hYPQoKgAkx9N31kpy1yUcvKk17mWYAgDHzhCTrMzqJ5x3qAJjItefaGv++NO0HtTI7DNsBAK7dK5N8NaMjoFarA2Ci7JvkLvX546Vp36sSAGDclKb97yTvr/GPhr67r1YAJsqzktw/yRVJDlDHbDFsBwC4FvXIp+U1Pn3ouwdrBWD8DX13w2y893R9khdoBQAYY09Pcnl9fqc6ACZm7XmDJCfV+IrStF/VymwxbAcAuA716KcNxz+tG/puiVYAxt4xSXarz68rTfsllQAAY7zu/FWSE2vce+i7fbUCMBEOT3LzJD+u61BmjGE7AMDmWZ7RUVD3T/JsdQCMr6Hv7pzkpTX+KskhWgEAxl1p2mMyGtYkydqh77bTCsBYrz1vn43Hxq8sTfsLrcwew3YAgM1Qj4B6RY0n1SOiABhPr95kvXt4adqfqQQAmBB/Vb/umuQ16gAYa6cl2SHJF5KcrY7ZZNgOALD5NuwyuHlGR0QBMGaGvntMkj+o8TtJXqUVAGBSlKb9QJLP1/hXQ9/dXCsAY7n2/MMkbY37l6a9SiuzybAdAGAz1aOgVtV4QD0qCoAxMfRdSfLaTT56QWnaQTMAwIR5fJKrkmyX5N3qABjLtefaGt9RmvZftTK7DNsBALbMWRkdDbVDklPVATBWXprktvX5H0vTflglAMCkKU373STn1vjgoe8eoRWAsfL8JPdIcmmSFeqYbYbtAABboB4JtX+Nj69HRgGwyIa+u2mS42u8MsmLtAIATLC/ymiIkyR/qw6AsVl73jjJcTWeUpr2O1qZbYbtAABbqB4N9Y4a19ajowBYXCcn2aU+rytN+w2VAAATvO68PMlhNe419N0BWgEYC0cnuXGSH9R1KDPOsB0AYOusyGiXwT0yOjoKgEUy9N09M9r9lSQXJjlGKwDApCtNuzajYU6SnDD03Q5aAVjUtefds/EUtUNK0/5KKxi2AwBshXpE1Ck1HlePkAJgcZyZZEl9Xl6a9kKVAABT4mn1605JzlEHwKI6Lcl2ST6R5C3qIDFsBwDYFidntMvgxhkdIQXAAhv6bp8kD6zxv5O8QSsAwLQoTftvSf6txqcMfbe3VgAWZe3550kenWR9kmWladdrhcSwHQBgq9Wjog6p8UX1KCkAFsjQdzsledUmH+1bmvYqzQAAU+ZJSa7M6CSf96gDYMHXnjskObXGc0rTflorbGDYDgCwbd6S0dFR22V0lBQAC+egJHvW5/eWpv13lQAA06Y07XlJzq7xXkPfPU4rAAtqWZI7JvllkkPVwaYM2wEAtkE9MmppRkdIPboeKQXAPBv6bq8kq2q8Isn+WgEAptiLMhryJK7NAVjIteeeSVbWeEJp2v/VCpsybAcA2EalaT+T5JwaT6tHSwEwv9Yk2fDv7cmlab+nEgBgitedV2XjHxfeZOi7Y7UCsCBOTHKDJN+u61D4NYbtAABz49CMdhncIaOjpQCYJ0PfPSjJU2r8SUYvPwAAplpp2tcn+eaGNejQd9fXCsC8rj3vm+SvajygNO1lWuE3GbYDAMyBeoTUCTWurEdMATDHhr5bkuTMTT56SWnaSzQDAMyIJ9Wv2yd5qzoA5nXteXqSJUk+Upr2vVrh6hi2AwDMnTVJvpXR0VJ2WQLMj2cmaerz55K8XSUAwKwoTfufST5c458OfXd3rQDMi6cm+b0kV8YpllwLw3YAgDlSj5I6sMa/GvrufloBmDv1qNRN78jbrzTtes0AADPmKUmGjHZbvlsdAHO+9twlyeoaX1uattcK18SwHQBgDtUjpf5fRi891tUjpwCYG6uS3Lg+v6k07edUAgDM4LrzF0lOrfHOQ989XSsAc2pFklsnuSDJkerg2hi2AwDMvWUZHTH1e0mepg6AbTf03d5JDqjx0iQHawUAmGGHZTQESpJX+0NvgDlbe94mo2F7khxdmvanWuHaGLYDAMyx0rRfSvLaGk+uR08BsG1ekaTU56NL056nEgBghted65PsV+NuSdZqBWBOnJxk5yRfTvIqdXBdDNsBAObHqox2Gdw6G/8aFoCtMPTdI5P8SY3fz6/f2w4AMJNK074ryZdqfPHQdzfVCsA2rT1/PxtPqVxemnbQCtfFsB0AYB6Upv1ZkqNqPKQeQQXAFhr6brskZ23y0YtK016uGQCAJMkTk6xPsl2Sd6gDYKvXntdLcnqN7y9N+2GtsDkM2wEA5s+rMzpyaqckq9UBsFVekOQO9fljpWnfrxIAgJHStF9L8p4aHzH03YO0ArBV/irJfZJckeQAdbC5DNsBAOZJPWpqWY1PHfruoVoB2HxD390oyctqXJ/khVoBAPgtf5nksvp8rjoAtnjtuVuSE2tcW5r2G1phcxm2AwDMo9K0/5jkfTWuq0dSAbB5jk9yg/r82tK0X1YJAMBvrTsvSXJMjbcd+s4fKAJsmZVJ9khyfl2HwmbzshcAYP4dmNERVPdJ8lx1AFy3oe/umuSva/xVksO1AgBw9UrTnpTkvBpPHfquaAVgs9aed8zGkykPL017oVbYEobtAADzrB49tabGE+rRVABcu9ckWVKfV5SmvUAlAADX6pn16y5JzlQHwGY5Lcn2ST6X5PXqYEsZtgMALIwTMtplsEeSVeoAuGZD3z0uycNq/Ga8LAYAuE71GrPP1Pjsoe/20grAta49H5Pkz2pcWpr2Kq2wpQzbAQAWQD2CasMRyEuHvruzVgB+29B3OyR59SYfPb807aAZAIDNsk+SqzJ69/9edQBc49qzZLSrPUnOLU37b1phaxi2AwAsnDck+WxGR1Odqg6Aq7U0ya3q8z+Upv2ISgAANk9p2u8neVON9x/67lFaAbhaL0pytySXJDlEHWwtw3YAgAVSj6JaWuPj6lFVAFRD3+2Z5NgNMcmLtQIAsMX2TXJxfX6TOgB+a+15kyRH17i6NO13tcLWMmwHAFhApWn/Pcm5Na6pR1YBMLI6yU71eW1p2m+pBABgi9edQ5IVNe459N2hWgH4NccmuVGS79V1KGw1w3YAgIV3cEZHVN01dm0CJEmGvrtvkmfVeEE27nAHAGALlaZ9ZZINOzWPHvpuZ60AJEPfNUleUOOK0rQXa4VtYdgOALDA6h16J9d4dD26CmBmDX23JMlrN/nogNK0F2kGAGCbPLV+3TGOkwfYYG2S7ZL8e5K3qYNtZdgOALA4Vme0y2D3JMerA5hxT0nyu/X5S0neqBIAgG1TmvaTST5a4z5D391JK8AsG/ru8Un+IMn6JPuXpl2vFbaVYTsAwCIoTXtJNt6ht9/Qd/fUCjCL6pGmZ2zy0fO98AAAmDNPSnJlkiVJ3q0OYIbXnjsmOa3G15em/ZxWmAuG7QAAi+ftST6W0dFVa9UBzKjDktysPr+zNO0nVAIAMDdK0/4kyatqvEfd1Qkwi5Yn2TvJRUkOVwdzxbAdAGCR1J2byzI6uuqRQ9/toxVglgx9d+skh9Z4ef03EQCAubU0o+FSkvyNOoAZXHveIskRNR5fmvY8rTBXDNsBABZRPbLqdTW+fOi7nbQCzJB1SbavzyeUpv2BSgAA5nzduT7Ji2q80dB3J2kFmDEnJbl+km/E6ZLMMcN2AIDFd0SSCzM6ymq5OoBZMPTd7yV5Qo3nJzlFKwAA86M07ZuTfK3GA4e+u6FWgBlZez4gybM2/PtXmvZyrTCXDNsBABZZadrzkxxX4xFD3+2lFWCaDX13vSRnbvLRS0rTXqIZAIB59eSMrjHbPsnb1AHMwNpzSUY72Zck+XBp2vdphblm2A4AMB5OT/L1JLtmdLQVwDR7TpK71efPlKZ9h0oAAOZXadovJvn7Gh899N29tQJMuacneXCSK5McoA7mg2E7AMAYqEdYbfil/1n1iCuAqTP03W5JTqtxfZLnawUAYMH8RZIrMtrl6Q8egWlee+6a5OQaX1Wa9r+0wnwwbAcAGBOlaf8uyYdqPL0edQUwbY5KsuGO0DeWpv1PlQAALNi686Ikq2u849B3z9YKMKUOTXLLJD+r61CYF4btAADjZXlGR1s9MMlfqgOYJkPf3THJ0hovSXKIVgAAFlZp2pUZDZ+S5BVD35kTANO29rxdkoNqXFWa9gKtMG//X12/fr0WACbQkiU2vMJU/nLWtF8Z+u4VGQ2jXjb03btL0/5KM8CUeFWS7erzqtK056sEAGBRPCfJ+5JcP8krkrxIJcAUWZ1kpyRfSnKmOphP/mINAGD8HJPkJ0n2SnK4OoBpMPTdo5M8qsbvJTldKwAAi6M07fuTfLHG5w99t4dWgClZez4syZNrXFaadtAK82mJne0AE/oPuJ3tMO0Lg7/OaAfopUmekuQirQAT7HpJzsnovrwk+ZPStB9UCwDAoq4775Dk60mWJPmPJAdrBZgCa5PcK0lXmvbx6mC+GbYDTOo/4IbtMNWGvtsuyeeTNNoApsxPS9PeVA0AAIu+7twrybeT7KANYMpcnuSupWm/pQrmm2E7wKT+A27YDlNv6LtHJnmPJoApsV1Gd4ImyT6laf37BgCwuGvOc5I8M8llGZ2qBjAtzihNu0oNLATDdoBJ/QfcsB0AmDBD352d5HkZ7aC6a2nay7QCALAov5c9KMknanxcadoPaAUAttz1VAAAAMACOSLJRUn2TnKAOgAAFt7Qd0syutM4Sf7BoB0Atp5hOwAAAAuiNO15SY6r8fCh726hFQCABffMJA9MMsQfQALANjFsBwAAYCGtS/L1jO5vP0kdAAALZ+i7TX8He2Vp2q9oBQC2nmE7AAAAC6Y07eVJDqzx2UPfPUArAAAL5rAkeyX5SZJj1AEA28awHQAAgAVVmvb9ST5c47p6bygAAPNo6Lu9s/GPHleVpr1AKwCwbQzbAQAAWAzLklyZ5EFJnqEOAIB59/IkOybpk5ylDgDYdobtAAAALLh6P+grazx56LtdtQIAMD+GvntEkn1q3L807ZVaAYBtZ9gOAADAYjk6yc8yujf0MHUAAMy9oe+2S3J6je8uTfsvWgGAuWHYDgAAwKKo94SurPHAoe9upxUAgDm3X5ImyWVJDlIHAMwdw3YAAAAW01kZ3Ru6U5JT1AEAMHeGvrtRkuNqPLU07be1AgBzx7AdAACARVOadkiyrMYn1ftEAQCYG0cluWmSHyY5SR0AMLcM2wEAAFhUpWk/kuQ9Na6t94oCALANhr67a5IX13hYadpfagUA5pZhOwAAAOPgoIzuEb1Xkn3VAQCwzU5LUpJ8Ksmb1AEAc8+wHQAAgEVXmvZbSdbUeNzQd7trBQBg6wx996dJ/rjGZaVp12sFAOaeYTsAAADj4oQkP0pys4zuFwUAYAsNfbdDRrvak+RNpWk/qRUAmB+G7QAAAIyFeo/oYTW+ZOi7u2gFAGCLvTTJnZP8Ksmh6gCA+WPYDgAAwDg5J8mnM7pfdK06AAA239B3eyQ5ssYTS9P+UCsAMH8M2wEAABgb9T7RpTX+8dB3j9UKAMBmOz7Jbkm+k41HyQMA88SwHQAAgLFS7xV9c41rh77bXisAANdu6Lt7J9m3xoNK016qFQCYX4btAAAAjKNDk1yc0X2jL1UHAMB1Oj3JkiQfLU37LnUAwPwzbAcAAGDslKb9QZITazyy3j8KAMDVGPruKUkemuSqJPtrBAAWhmE7AAAA4+rUjO4bvWGS49QBAPDbhr7bOcnqGs8sTftFrQDAwjBsBwAAYCzVe0YPrnG/eg8pAAC/7uAkt03y8yRHqgMAFo5hOwAAAGOrNO07k3w0o/tH12kEAGCjoe9uleSQGo8pTftjrQDAwjFsBwAAYNwtzej+0YcNffdkdQAA/J+Tk+yS5L+TvFIdALCwDNsBAAAYa6Vpv5DkrBpPqfeSAgDMtKHvHpLk6TUuL017hVYAYGEZtgMAADAJViX5RUb3kR6kDgBglg19d71svGLn70vT/oNWAGDhGbYDAAAw9ur9o0fXeOjQd7fUCgAww56V5HeTXJFkuToAYHEYtgMAADApXpnkqxndS7paHQDALBr67gZJXlbjGaVpv6YVAFgchu0AAABMhHoP6YadW08f+u7BWgEAZtARSfZM8uMkx6oDABaPYTsAAAATozTtB5P8fY3r6n2lAAAzYei722fjHx+uLE37C60AwOLxUgIAAIBJc0BG95PeP6P7SgEAZsVpSXZI8p9JzlYHACwuw3YAAAAmSmnaryY5o8aT6r2lAABTbei7P0rS1ri0NO1VWgGAxWXYDgAAwCQ6NqN7Sm+e0b2lAABTa+i7kmRNjW8vTfuvWgGAxWfYDgAAwMSp95OurHF5vb8UAGBavSDJPZJcmuQQdQDAeDBsBwAAYFKdneQLGd1bepo6AIBpNPTdjTM61SdJTilN+x2tAMB4MGwHAABgItV7SvevsR367g+1AgBMoaOT3DjJD5KcrA4AGB+G7QAAAEysel/p22tcW+8zBQCYCkPf3T3Ji2pcUZr2V1oBgPFh2A4AAMCkOySj+0vvkdF9pgAA02JNku2SfCLJW9UBAOPFsB0AAICJVu8tPaXGY+u9pgAAE23ouz9P8qgk65MsLU27XisAMF4M2wEAAJgGJ2d0j+mNM7rXFABgYg19t0OS02o8pzTtZ7QCAOPHsB0AAICJV+8vXVHji+r9pgAAk2pZkjsk+WWSQ9UBAOPJsB0AAIBp8daM7jPdLqP7TQEAJs7Qd3smWVnj8aVp/1crADCeDNsBAACYCvUe06UZ3Wv6qHrPKQDApDkpyQ2SfCvJWnUAwPgybAcAAGBq1PtM31jjafW+UwCAiTD03f2SPKfGA0vTXqYVABhfhu0AAABMm8Myut/0DhnddwoAMPaGvluSZF2SJUn+X2na92oFAMabYTsAAABTpd5renyNK+u9pwAA4+5pSX4vyZVJlqsDAMafYTsAAADTaG1G95zeIKN7TwEAxtbQd7skObnG15am7bUCAOPPsB0AAICpU+83PbDG59T7TwEAxtWKJLdOckGSVeoAgMlg2A4AAMBUqvec/lNG956eXu9BBQAYK0Pf3SbJITUeVZr2Z1oBgMlg2A4AAMA0W57RvacPyegeVACAcbM6yU5Jvpzk1eoAgMlh2A4AAMDUKk37pSSvrXF1vQ8VAGAsDH33+0meWuPy0rSDVgBgchi2AwAAMO1WZXT/6a0yug8VAGDRDX13vSSn1/j+0rQf1goATBbDdgAAAKZavff0yBoPqfeiAgAstr9Kcp8kVyQ5QB0AMHkM2wEAAJgFr8noHtSdkpyiDgBgMQ19t1uSE2tcU5r2G1oBgMlj2A4AAMDUq/efLqvxKUPfPVQrAMAiWpVkjyTnJzlBHQAwmQzbAQAAmAmlaf8xyftqXFfvSQUAWFBD390pydIaDytNe6FWAGAyebEAAADALDkwyeUZ3Y/6XHUAAIvg1CTbJ/lckjeoAwAml2E7AAAAM6Peh7q2xhOGvruhVgCAhTL03WOS/FmN+5emvUorADC5DNsBAACYNSckOS+je1JXqgMAWAhD35Uka2o8tzTtv2sFACabYTsAAAAzpd6LeliNS4e+u7NWAIAF8KIkd01ySZIV6gCAyWfYDgAAwCx6Y5LPZnRf6mnqAADm09B3N0lyTI2rS9N+TysAMPkM2wEAAJg59X7U/Wv803p/KgDAfDkuye5JvpfkZHUAwHQwbAcAAGAmlab9eJJza1xb71EFAJhTQ981SZ5f44rStJdoBQCmg2E7AAAAs+zgjO5N/Z0kL1YHADAP1ibZLsm/JXmbOgBgehi2AwAAMLNK034/yctqPHrou5tqBQCYK0PfPSHJHyRZn2Rpadr1WgGA6WHYDgAAwKw7Jcl3M7pH9Th1AABzYei7HZOcWuPflKb9nFYAYLoYtgMAADDT6r2pK2rcb+i7e2oFAJgDByTZO8lFSY5QBwBMH8N2AAAASN6e5GMZ3ae6Vh0AwLYY+u4WSQ6v8bjStOdpBQCmj2E7AAAAM6/en7o0o/tUHzn03T5aAQC2wUlJrp/kG0nWqQMAppNhOwAAACQpTfv5JK+r8dSh73bSCgCwpYa+e0CSZ9V4QGnay7UCANPJsB0AAAA2OiLJhUlul2S5OgCALTH03ZKMdrIvSfLh0rTv1woATC/DdgAAAKhK056f5Ngajxj6bi+tAABb4OlJHpTkyvjDPQCYeobtAAAA8OvOSPL1JLtmdN8qAMB1Gvpu1ySra3xVadovawUAppthOwAAAGyi3qu6YSfas4a+e6BWAIDNcGiSvZL8LMlR6gCA6WfYDgAAAL+hNO0HknyoxnX1/lUAgKs19N3tkhxU48rStBdoBQCmn2E7AAAAXL3lSYYkD0zyl+oAAK7F6iQ7JflSkrPUAQCzwbAdAAAArkZp2q8keWWNLxv67vpaAQB+09B3D0/y5BqXlqYdtAIAs8GwHQAAAK7ZMUl+ktH9q4epAwDY1NB310uyrsb3lqb9iFYAYHYYtgMAAMA1qPetHlnjgUPf7a0VAGAT+yW5V5LLkxyoDgCYLYbtAAAAcO3OTNIn2THJKeoAAJJk6LsbJjmuxtNK035LKwAwWwzbAQAA4FqUpr0yyf41PnHou0doBQBIclSSmyX5UZIT1QEAs8ewHQAAAK5Dadp/SfLuGk8f+m47rQDA7Br67i5JXlrj4aVpL9IKAMwew3YAAADYPAcluSxJk9H9rADA7FqTpCT5TJI3qgMAZpNhOwAAAGyG0rTfTnJajccNfbe7VgBg9gx999gkj61xaWna9VoBgNlk2A4AAACb78QkP0xy0yRHqwMAZsvQd9tntKs9Sd5SmvYTWgGA2WXYDgAAAJupNO0vkxxW44uHvrurVgBgprw4yV2SXJxkhToAYLYZtgMAAMCWeVOST2V0T+tp6gCA2TD03c2y8WSbk0rT/kArADDbDNsBAABgC9R7WZfW+MdD3/2pVgBgJhyf5IZJ/ifJqeoAAAzbAQAAYAuVpv1URjvck2TN0Hc7aAUAptfQd/dKsm+NB5emvUQrAIBhOwAAAGydQ5P8KsmdkrxUHQAw1dZl9D79X0vTvkMdAEBi2A4AAABbpTTtD5OcWOORQ9/toRUAmD5D3z0pycOTXJWNV8kAABi2AwAAwDY4Lcl3kuyW0T2uAMAUGfpupySn1Hh2adr/1AoAsIFhOwAAAGyl0rSXJjmwxn2HvruPVgBgqhyY5HZJfpFklToAgE0ZtgMAAMA2KE377iT/kmRJRve5AgBTYOi7WyY5vMZjS9OerxUAYFOG7QAAALDtlmZ0j+tDh757qjoAYCq8LMkuSb6W5Ax1AAC/ybAdAAAAtlFp2i8mObPGk4e+21krADC5hr57UJK/rHF5adortAIA/CbDdgAAAJgbq5L8PMltkxysDgCYTEPfbXo1zD+Upv17rQAAV8ewHQAAAOZAadqfJDmmxkOHvruVVgBgIj0ryQOSDEmWqQMAuCaG7QAAADB3XpHkv5PsnGS1OgBgsgx9d/0kJ234/3pp2q9qBQC4JobtAAAAMEdK0266A+4vhr57iFYAYKIckeQWSTY9sQYA4GoZtgMAAMAcKk37oSQfqHHd0HfW3gAwAYa+2zvJ8hpXlqb9uVYAgGtjwQ8AAABz74AkVyT53STPVgcATIRTk+yY5ItJzlYHAHBdDNsBAABgjpWm/VqS02s8aei7G2gFAMbX0HePTPKEGpeWpr1SKwDAdTFsBwAAgPlxXJLzk+yZZKU6AGA8DX1Xkqyr8Z2laf9FKwDA5jBsBwAAgHlQmvYX2ThkXzb03R21AgBjab8kTZJLk6xQBwCwuQzbAQAAYP68Lsnnk+yQ5OXqAIDxMvTdjTI6jSZJTitN+22tAACby7AdAAAA5klp2quSLKuxHfruUVoBgLFyVJKbJPlhkhPVAQBsCcN2AAAAmEelaf81ydtrXFPvhQUAFtnQd3dN8pIaDy1N+yutAABbwrAdAAAA5t/BGd0De/ckL1QHAIyFNUm2S/KpJG9WBwCwpQzbAQAAYJ6Vpv1uktU1Hjv03Y21AgCLZ+i7xyV5TI37l6ZdrxUAYEsZtgMAAMDCODnJD5LcKMmx6gCAxTH03Q5JTqvxnNK0n9YKALA1DNsBAABgAZSmvTij4+ST5IVD391dKwCwKPZPcqckv0pymDoAgK1l2A4AAAAL59wkH8/ofti16gCAhTX03R5JVtV4QmnaH2oFANhahu0AAACwQOp9sEuTrE/yR0PfPV4rALCgTkiyW5JvJ1mjDgBgWxi2AwAAwAIqTfsfSd5Q48uHvttRKwAw/4a+u2+S59V4UGnaS7UCAGwLw3YAAABYeIcluSjJHZIsUwcAzK+h75ZkdIXLkiT/XJr23VoBALaVYTsAAAAssNK052V0jG2SrBz67uZaAYB59ZQkD01yZfyhGwAwRwzbAQAAYHGsSfLNJNdPcpI6AGB+DH23c5LVNZ5VmvaLWgEA5oJhOwAAACyC0rSXJzmwxmcPffe7WgGAeXFwktsk+XmSVeoAAOaKYTsAAAAsktK0XZJ/zOj+2NPrfbIAwBwZ+u5WSQ6t8ejStD/RCgAwVwzbAQAAYHEtz+j+2Acn+Qt1AMCcOiXJzkn+O8kr1QEAzCXDdgAAAFhEpWn/K8mra1w99N0uWgGAbTf03UOSPK3GZaVpB60AAHPJsB0AAAAW31FJLkhyy2w86hYA2EpD310vyek1fqA07Ye0AgDMNcN2AAAAWGSlaX+WZFWNBw99d1utAMA2eXaS+yW5IskB6gAA5oNhOwAAAIyH1yb5UpKdkqxWBwBsnaHvbpDkpBpPL037Na0AAPPBsB0AAADGQL1HdnmNTxn67mFaAYCtsjLJnknOT3KcOgCA+WLYDgAAAGOiNO0/JelqXFfvmwUANtPQd3dMsqzGlaVpf6EVAGC+WLQDAADAeDkgyeVJ7p3keeoAgC3y8iQ7JPl8ktepAwCYT4btAAAAMEZK034ryZoaTxj67oZaAYDrNvTdo5K0NS4rTXuVVgCA+WTYDgAAAOPnhCTnJblZkiPVAQDXbui7ko1/rPb20rT/qhUAYL4ZtgMAAMCYKU17UZJDa3zp0Hd31goAXKsXJrl7kkuTHKwOAGAhGLYDAADAeDonyWeSbJ+NO/UAgN8w9N2Nkxxb4+rStN/VCgCwEAzbAQAAYAzVe2aX1fgnQ989VisAcLWOTXKjJD9IcrI6AICFYtgOAAAAY6o07ceTvKXG04a+214rALDR0Hd3z+gI+SQ5uDTtxVoBABaKYTsAAACMt0OSXJzkd5K8WB0A8GvWJtkuySeSnKsOAGAhGbYDAADAGCtN+/0kL6vxqKHvbqYVAEiGvmuT/FGS9Un2L027XisAwEIybAcAAIDx9/Ik/5Nk9yTHqQOAWTf03Y5JTq3xDaVp/0MrAMBCM2wHAACAMVea9pIkK2rcb+i7e2oFgBm3LMkdklyU5HB1AACLwbAdAAAAJkBp2rcn+Vhdy5+uEQBm1dB3N09yRI0nlKb9X60AAIvBsB0AAAAmx/4Z3Uv78KHvnqgOAGbUiUlukOSbSdaqAwBYLIbtAAAAMCFK0/5nkrNqfPnQdztpBYBZMvTd7yZ5To0Hlaa9TCsAwGIxbAcAAIDJsirJhUlul+RAdQAwK4a+W5JkXZIlSf6pNO17tQIALCbDdgAAAJggpWnPT3JMjYcNfXdLrQAwI56W5CFJrkyyTB0AwGIzbAcAAIDJc0aSryXZNcnL1AHAtBv6bpckp9T4mtK0/6UVAGCxGbYDAADAhClNe0WS5TX+5dB3D9IKAFPukCS3THJBkiPVAQCMA8N2AAAAmEClaf8+yT/UuK7eYwsAU2fou9skWVHjkaVpf6YVAGAcGLYDAADA5FqeZEjygCTPVAcAU+qUJDsl+a8kr1EHADAuDNsBAABgQpWm/e8kr6jxZUPfXV8rAEyToe8eluQpNS4vTTtoBQAYF4btAAAAMNmOSfKTJLdIcoQ6AJgWQ99dL8naGrvStP+oFQBgnBi2AwAAwAQrTfvzJCtrXD703d5aAWBKPC/JfZJcnuQgdQAA48awHQAAACbf2Um+mGTHJKeqA4BJN/TdDZMcX+Pa0rTf0AoAMG4M2wEAAGDClaa9MsnSGp8w9N0jtQLAhFuZZI8k5yU5QR0AwDgybAcAAIApUJr2X5K8s8Z1Q98VrQAwiYa+u3M2/hHZYaVpL9QKADCODNsBAABgeqxIcmmSJsl+6gBgQp2WZPskn03yRnUAAOPKsB0AAACmRGnab2fjne3HDX13I60AMEmGvntMkj+tcf/StFdpBQAYV4btAAAAMF1OSvLDJDdJcpQ6AJgU9QqUtTWeW5r241oBAMaZYTsAAABMkdK0v0pySI0vGfrurloBYEK8OMnvJLkkycHqAADGnWE7AAAATJ+/TfKpJNtl4w5BABhbQ9/dJMnRNZ5cmvb7WgEAxp1hOwAAAEyZ0rTrk+xf46OHvnucVgAYc8cn2T3Jd5OsVgcAMAkM2wEAAGAKlab9dJI31nja0Hc7aAWAcTT03T2T7FfjitK0l2gFAJgEhu0AAAAwvQ5P8sskd0qyVB0AjKm1GV198rEkb1cHADApDNsBAABgSpWm/WGSE2tcOfTdnloBYJwMfbdPkkcmWZ9kWb0KBQBgIhi2AwAAwHRbk+TbSXbL6D5cABgLQ9/tlOTlNb6uNO3ntAIATBLDdgAAAJhipWkvTXJgjc8b+u6+WgFgTCxPsneSC5McoQ4AYNIYtgMAAMCUK037niT/nGRJknVD3y3RCgCLaei7vbJxwH5cadrztQIATBrDdgAAAJgNS5NcmeT3kzxFHQAsspOS7Jrk60lOVwcAMIkM2wEAAGAGlKbtk5xV4ylD3+2sFQAWw9B3D0jyrBoPKE17uVYAgElk2A4AAACzY2WSnye5dZIV6gBgodWrTDbsZP9wadq/0woAMKkM2wEAAGBGlKb9aZKjajxk6LtbawWABfaMJA/M6GqTZeoAACaZYTsAAADMllcl+UqSnZOsVgcAC2Xou12TnFzjK0rTfkUrAMAkM2wHAACAGVKadkiyvManDX33e1oBYIEcnmSvJD9Ncow6AIBJZ9gOAAAAM6Y07YeSvL/GdUPfeT8AwLwa+m7vJAfUuKo07QVaAQAmncU0AAAAzKYDk1yR5H5JnqMOAObZ6iQ7JemTnKUOAGAaGLYDAADADCpN+/Uk62o8aei73bQCwHwY+u4RSZ5U47J6pQkAwMQzbAcAAIDZdVyS85PskeQIdQAw14a+2y7J2hrfU5r2I1oBAKaFYTsAAADMqNK0FyY5vMblQ9/dUSsAzLF9k9wryWUZXWECADA1DNsBAABgtr0+yeeTbJ/kNHUAMFeGvts9yfE1rilN+22tAADTxLAdAAAAZlhp2quS7F/jnw1992itADBHjkpy0yQ/SnKCOgCAaWPYDgAAADOuNO2/JXlbjWuGvitaAWBbDH13lyQvqfGw0rS/1AoAMG0M2wEAAIAkWZHkkiR3S/LX6gBgG61NUpJ8Osk56gAAppFhOwAAAJDStN9NsrrGY4a+u4lWANgaQ989Nskf17i0NO16rQAA08iwHQAAANhgdZLvJblRkmPVAcCWGvpu+4x2tSfJm0vTflIrAMC0MmwHAAAAkiSlaS/O6Dj5JHnB0HeNVgDYQi9NcuckFyc5VB0AwDQzbAcAAAA29bYk/55kuyRr1AHA5hr6bo8kR9Z4YmnaH2gFAJhmhu0AAADA/6n36u6fZH2SPxz67vFaAWAzHZfkhkm+k+Q0dQAA086wHQAAAPg1pWk/l+T1NZ429N2OWgHg2gx9d+8k+9Z4cGnaS7QCAEw7w3YAAADg6hye5KIkeydZrg4ArsO6jN43f7Q07TvVAQDMAsN2AAAA4LeUpj0vo+OAk+SIoe9uoRUArs7Qd09O8rAkVyVZqhEAYFYYtgMAAADXZF2SbyS5fpKT1AHAbxr6buckp9R4dmnaL2gFAJgVhu0AAADA1SpNe3mSA2t81tB3D9AKAL/hwCS3TfKLJCvVAQDMEsN2AAAA4BqVpn1fkg8nWZJk7dB3S7QCQJIMfXfLJIfVeExp2h9rBQCYJYbtAAAAwHVZnuTKJA9O8nR1AFCdnGSXJF9N8gp1AACzxrAdAAAAuFalab+c5FU1rh76bletAMy2oe8enOQZNS4vTXuFVgCAWWPYDgAAAGyOo5L8LMleSQ5VB8DsqleKrKvxg6VpP6gVAGAWGbYDAAAA16k07QVJVtV40NB3t9MKwMx6dpL7JxkyumoEAGAmGbYDAAAAm+vMJF9KslOS1eoAmD1D390gyYk1nlGa9qtaAQBmlWE7AAAAsFlK0w5Jltb45KHvHq4VgJlzeJJbJPlxkmPUAQDMMsN2AAAAYLOVpv1IkvfWuG7oO+8WAGbE0He3z8Zj41eVpv2FVgCAWWZBDAAAAGypA5NcluReSfZTB8DMODXJjkm+kOQsdQAAs86wHQAAANgipWm/lWRNjccNfXdDrQBMt6Hv/iDJ42tcWpr2Kq0AALPOsB0AAADYGicm+VGSmyU5Sh0A02vou5JkXY3vLE37Ua0AABi2AwAAAFuhNO1FSQ6v8aVD391FKwBTa78k90hyaZKD1QEAMGLYDgAAAGytNyb5TJKSjcfKAzBFhr67UZLja3x5adrvaAUAYMSwHQAAANgqpWnXJ9m/xscOffdYrQBMnWOS3DjJD5O8TB0AABsZtgMAAABbrTTtJ5P8bY1rh77bXisA02Hou7sleVGNK0rT/korAAAbGbYDAAAA2+qQJBcnuXOSl6gDYGqsSbJdkk8meYs6AAB+nWE7AAAAsE1K0/4gyUk1HjX03c20AjDZhr77sySPrnFpvToEAIBNGLYDAAAAc+HUJN9JcsMkx6sDYHINfbdD/Xc9Sd5YmvbTWgEA+G2G7QAAAMA2K017SZIVNe479N29tQIwsZYmuVOSXyY5TB0AAFfPsB0AAACYE6Vp35Hkoxm9b1irEYDJM/TdnklW1XhiadofaQUA4OoZtgMAAABzaWmSq5I8fOi7J6sDYOKckOQGSb6d5DR1AABcM8N2AAAAYM6Upv1CkrNrXD303c5aAZgMQ9/dN8lzazywNO1lWgEAuGaG7QAAAMBcW5nkF0lul+RAdQCMv6HvliRZl2RJko+Upn2PVgAArp1hOwAAADCnStP+OMkxNR429N0ttQIw9p6S5PeTXJlkmToAAK6bYTsAAAAwH16R5KtJdklysjoAxle98uOUGs8sTdtrBQDguhm2AwAAAHOuNO0VSZbX+Iyh7x6sFYCxdUiSWyf5eZJV6gAA2DyG7QAAAMC8KE37wSQfrHFdvQ8YgDEy9N2tk6yo8ajStD/VCgDA5jFsBwAAAObT8iRDkvsnebY6AMbO6iQ7J/lKklepAwBg8xm2AwAAAPOmNO1Xk5xR44lD391AKwDjYei730vytBqXl6YdtAIAsPkM2wEAAID5dkySHye5RZLD1QGw+Ia+u16S02t8f2naD2kFAGDLGLYDAAAA86o07S+SrKrxgKHvbq8VgEX3nCT3TXJFkgPVAQCw5QzbAQAAgIVwVpIvJNkhyanqAFg8Q9/tluSkGteVpv26VgAAtpxhOwAAADDvStNelWRpjY8f+u4PtAKwaI5IskeS85Mcpw4AgK1j2A4AAAAsiNK0H03yjhrXDX1XtAKwsIa+u2OS5TUeUZr2Qq0AAGwdw3YAAABgIa1IcmmSeyR5vjoAFtypSbZP8vkkf6MOAICtZ9gOAAAALJjStN9J8vIajxv67kZaAVgYQ989Osmf17h/veIDAICtZNgOAAAALLSXJflBkhsnOUYdAPOvXt2xpsa3lab9N60AAGwbw3YAAABgQZWm/VWSQ2p80dB3d9MKwLz76yR3y+gqjxXqAADYdobtAAAAwGJ4S5JPJNkuG3daAjAPhr7b9CSRk0vTflcrAADbzrAdAAAAWHCladcnWZZkfZJHD33351oBmDfHJblRku8lWa0OAIC5YdgOAAAALIrStJ9Ock6Npw59t4NWAObW0Hf3SPKCGg8pTXuxVgAA5oZhOwAAALCYDk3yyyR3zGinOwBza21GV3b8e5Jz1QEAMHcM2wEAAIBFU5r2f5OcUOPKoe/21ArA3Bj67vFJ/jCjKzuW1is8AACYI4btAAAAwGJbk+TbSW6Q5ER1AGy7oe92THJqjW8oTftZrQAAzC3DdgAAAGBRlaa9LMkBNf7V0Hf31QrANluW5PZJLkpymDoAAOaeYTsAAACw6ErTvjfJ/0uyJMnpQ98t0QrA1hn67uZJVtZ4fGna87QCADD3DNsBAACAcbE8yZVJfi/J09QBsNVeluT6Sb6ZZK06AADmh2E7AAAAMBZK0/ZJXlvjyUPf7aIVgC0z9N39kzyrxgNK016uFQCA+WHYDgAAAIyTVUkuSHLrJCvUAbD56hUc6zK6kuMfS9O+TysAAPPHsB0AAAAYG6Vpf5bkqBpXDH13G60AbLa/SPLgjK7kWK4OAID5ZdgOAAAAjJtXJ/lykp2TrFYHwHWrV29s+Dfz1aVp/0srAADzy7AdAAAAGCulaYds3JH51KHvfl8rANfp0CS3TLLpCSEAAMwjw3YAAABg7JSm/XCSDXcNnz70nXcYANdg6LvbJTm4xiPrlRwAAMwzC1UAAABgXB2Y5Iok90nyXHUAXKOTk+yU5EtJXqsOAICFYdgOAAAAjKXStN9IsqbGE4a+200rAL9u6LuHJXlKjcvrVRwAACwAw3YAAABgnJ2Q5PwkeyRZpQ6AjeoVG+tq7ErT/pNWAAAWjmE7AAAAMLZK016Y5LAalw59dyetAPyf5yW5d5LLkxygDgCAhWXYDgAAAIy7NyT5bJLtk5ymDoBk6LsbZnT6R5KsKU37La0AACwsw3YAAABgrJWmvSrJ0hofN/TdY7QCkCOT3CzJedk4dAcAYAEZtgMAAABjrzTtvyc5t8Y1Q98VrQCzaui7Oyd5aY2Hlqa9SCsAAAvPsB0AAACYFCuSXJLkrklepA5ghq3J6GqN/0hyjjoAABaHYTsAAAAwEUrTfi/JyTUeM/TdTbQCzJqh7/44yZ/UuLRetQEAwCIwbAcAAAAmyeok30uye5Lj1QHMkqHvts9oV3uSvKU07ce1AgCweAzbAQAAgIlRmvaSJAfXuN/Qd41WgBny4iS/k+TiJIeoAwBgcRm2AwAAAJPm7Uk+lmS7JOvUAcyCoe9uluSoGk8uTft9rQAALC7DdgAAAGCilKZdn2RZkvVJHjn03RO0AsyAYzO6QuN/kpyiDgCAxWfYDgAAAEyc0rSfS/K6Gk8d+m4nrQDTaui7eyZ5fo2H1Cs1AABYZIbtAAAAwKRameTCJHsnWa4OYIqty+hd7sdK075NHQAA48GwHQAAAJhIpWnPS3JcjYcPfbeXVoBpM/TdE5M8IqOrM/bXCADA+DBsBwAAACbZ6Um+nuT6SU5SBzBN6hUZL6/x7NK0/6kVAIDxYdgOAAAATKzStJcnOaDGZw199wCtAFPkgCS3y+jKjJXqAAAYL4btAAAAwEQrTft3ST5c4+lD3y3RCjDp6tUYh9d4bGna87UCADBelqxfv14LAJP4D/gS7w8BAGCDoe/umqRPsl2SryS5XCvAhLtJkltldFXGPepJHgAAjBHDdoBJ/QfcsB0AAH7N0HdrkyzVBDBlHlea9gNqAAAYP0UFAAAAwJQ4Ksm/qAGYIpeVpv2gGgAAxtP/B4URYp3Ftn1DAAAAAElFTkSuQmCC</xsl:text>
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</xsl:text>
</xsl:variable>
<xsl:template name="insert_single-page-master-reference">
<xsl:param name="initial">false</xsl:param>
<xsl:param name="counter" select="50"/>
<xsl:if test="$counter > 0">
<xsl:if test="$initial = 'false'">
<fo:single-page-master-reference master-reference="page2"/>
</xsl:if>
<fo:single-page-master-reference master-reference="page3"/>
<fo:single-page-master-reference master-reference="page4"/>
<fo:single-page-master-reference master-reference="page5"/>
<fo:single-page-master-reference master-reference="page6"/>
<fo:single-page-master-reference master-reference="page7"/>
<fo:single-page-master-reference master-reference="page8"/>
<fo:single-page-master-reference master-reference="page9"/>
<fo:single-page-master-reference master-reference="page10"/>
<fo:single-page-master-reference master-reference="page11"/>
<fo:single-page-master-reference master-reference="page12"/>
<fo:single-page-master-reference master-reference="page13"/>
<fo:single-page-master-reference master-reference="page14"/>
<fo:single-page-master-reference master-reference="page15"/>
<fo:single-page-master-reference master-reference="page16"/>
<fo:single-page-master-reference master-reference="page17"/>
<fo:single-page-master-reference master-reference="page18"/>
<fo:single-page-master-reference master-reference="page19"/>
<fo:single-page-master-reference master-reference="page20"/>
<fo:single-page-master-reference master-reference="page21"/>
<fo:single-page-master-reference master-reference="page22"/>
<fo:single-page-master-reference master-reference="page23"/>
<fo:single-page-master-reference master-reference="page24"/>
<fo:single-page-master-reference master-reference="page25"/>
<xsl:call-template name="insert_single-page-master-reference">
<xsl:with-param name="counter" select="$counter - 1"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<xsl:strip-space xmlns:redirect="http://xml.apache.org/xalan/redirect" elements="ribose:xref"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="namespace_full" select="namespace-uri(/*)"/> <!-- example: https://www.metanorma.org/ns/iso -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="root_element" select="local-name(/*)"/>
<!-- external parameters -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="svg_images"/> <!-- svg images array -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="images" select="document($svg_images)"/>
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="basepath"/> <!-- base path for images -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="inputxml_basepath"/> <!-- input xml file path -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="inputxml_filename"/> <!-- input xml file name -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="output_path"/> <!-- output PDF file name -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="external_index"/><!-- path to index xml, generated on 1st pass, based on FOP Intermediate Format -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="syntax-highlight">false</xsl:param> <!-- syntax highlighting feature, default - off -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add_math_as_text">true</xsl:param> <!-- add math in text behind svg formula, to copy-paste formula from PDF as text -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_if">false</xsl:param> <!-- generate extended table in IF for autolayout-algorithm -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_widths"/> <!-- (debug: path to) xml with table's widths, generated on 1st pass, based on FOP Intermediate Format -->
<!-- Example: <tables>
<table page-width="509103" id="table1" width_max="223561" width_min="223560">
<column width_max="39354" width_min="39354"/>
<column width_max="75394" width_min="75394"/>
<column width_max="108813" width_min="108813"/>
<tbody>
<tr>
<td width_max="39354" width_min="39354">
<p_len>39354</p_len>
<word_len>39354</word_len>
</td>
OLD:
<tables>
<table id="table_if_tab-symdu" page-width="75"> - table id prefixed by 'table_if_' to simple search in IF
<tbody>
<tr>
<td id="tab-symdu_1_1">
<p_len>6</p_len>
<p_len>100</p_len> for 2nd paragraph
<word_len>6</word_len>
<word_len>20</word_len>
...
-->
<!-- for command line debug: <xsl:variable name="table_widths_from_if" select="document($table_widths)"/> -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_widths_from_if" select="xalan:nodeset($table_widths)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_widths_from_if_calculated_">
<xsl:for-each select="$table_widths_from_if//table">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:call-template name="calculate-column-widths-autolayout-algorithm"/>
</xsl:copy>
</xsl:for-each>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_widths_from_if_calculated" select="xalan:nodeset($table_widths_from_if_calculated_)"/>
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_if_debug">false</xsl:param> <!-- set 'true' to put debug width data before table or dl -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="isApplyAutolayoutAlgorithm_">
true
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="isApplyAutolayoutAlgorithm" select="normalize-space($isApplyAutolayoutAlgorithm_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="isGenerateTableIF_">
<xsl:choose>
<xsl:when test="$isApplyAutolayoutAlgorithm = 'true'">
<xsl:value-of select="normalize-space($table_if) = 'true'"/>
</xsl:when>
<xsl:otherwise>false</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="isGenerateTableIF" select="normalize-space($isGenerateTableIF_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="lang">
<xsl:call-template name="getLang"/>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="inputxml_filename_prefix">
<xsl:choose>
<xsl:when test="contains($inputxml_filename, '.presentation.xml')">
<xsl:value-of select="substring-before($inputxml_filename, '.presentation.xml')"/>
</xsl:when>
<xsl:when test="contains($inputxml_filename, '.xml')">
<xsl:value-of select="substring-before($inputxml_filename, '.xml')"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$inputxml_filename"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- Note 1: Each xslt has declated variable `namespace` that allows to set some properties, processing logic, etc. for concrete xslt.
You can put such conditions by using xslt construction `xsl:if test="..."` or <xsl:choose><xsl:when test=""></xsl:when><xsl:otherwiste></xsl:otherwiste></xsl:choose>,
BUT DON'T put any another conditions together with $namespace = '...' (such conditions will be ignored). For another conditions, please use nested xsl:if or xsl:choose -->
<!--
<metanorma-extension>
<presentation-metadata>
<papersize>letter</papersize>
</presentation-metadata>
</metanorma-extension>
-->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="papersize" select="java:toLowerCase(java:java.lang.String.new(normalize-space(//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'presentation-metadata']/*[local-name() = 'papersize'])))"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="papersize_width_">
<xsl:choose>
<xsl:when test="$papersize = 'letter'">215.9</xsl:when>
<xsl:when test="$papersize = 'a4'">210</xsl:when>
</xsl:choose>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="papersize_width" select="normalize-space($papersize_width_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="papersize_height_">
<xsl:choose>
<xsl:when test="$papersize = 'letter'">279.4</xsl:when>
<xsl:when test="$papersize = 'a4'">297</xsl:when>
</xsl:choose>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="papersize_height" select="normalize-space($papersize_height_)"/>
<!-- page width in mm -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="pageWidth_">
<xsl:choose>
<xsl:when test="$papersize_width != ''"><xsl:value-of select="$papersize_width"/></xsl:when>
<xsl:otherwise>
215.9
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="pageWidth" select="normalize-space($pageWidth_)"/>
<!-- page height in mm -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="pageHeight_">
<xsl:choose>
<xsl:when test="$papersize_height != ''"><xsl:value-of select="$papersize_height"/></xsl:when>
<xsl:otherwise>
279.4
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="pageHeight" select="normalize-space($pageHeight_)"/>
<!-- Page margins in mm (just digits, without 'mm')-->
<!-- marginLeftRight1 and marginLeftRight2 - is left or right margin depends on odd/even page,
for example, left margin on odd page and right margin on even page -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="marginLeftRight1_">
29
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="marginLeftRight1" select="normalize-space($marginLeftRight1_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="marginLeftRight2_">
29
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="marginLeftRight2" select="normalize-space($marginLeftRight2_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="marginTop_">
14
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="marginTop" select="normalize-space($marginTop_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="marginBottom_">
22
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="marginBottom" select="normalize-space($marginBottom_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="layout_columns_default">1</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="layout_columns_" select="normalize-space((//*[contains(local-name(), '-standard')])[1]/*[local-name() = 'metanorma-extension']/*[local-name() = 'presentation-metadata']/*[local-name() = 'layout-columns'])"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="layout_columns">
<xsl:choose>
<xsl:when test="$layout_columns_ != ''"><xsl:value-of select="$layout_columns_"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$layout_columns_default"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- Note 2: almost all localized string determined in the element //localized-strings in metanorma xml, but there are a few cases when:
- string didn't determined yet
- we need to put the string on two-languages (for instance, on English and French both), but xml contains only localized strings for one language
- there is a difference between localized string value and text that should be displayed in PDF
-->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="titles_">
<!-- These titles of Table of contents renders different than determined in localized-strings -->
<!-- <title-toc lang="en">
<xsl:if test="$namespace = 'csd' or $namespace = 'ieee' or $namespace = 'iho' or $namespace = 'mpfd' or $namespace = 'ogc' or $namespace = 'unece-rec'">
<xsl:text>Contents</xsl:text>
</xsl:if>
<xsl:if test="$namespace = 'csa' or $namespace = 'm3d' or $namespace = 'nist-sp' or $namespace = 'ogc-white-paper'">
<xsl:text>Table of Contents</xsl:text>
</xsl:if>
<xsl:if test="$namespace = 'gb'">
<xsl:text>Table of contents</xsl:text>
</xsl:if>
</title-toc> -->
<title-toc lang="en">Table of contents</title-toc>
<!-- <title-toc lang="fr">
<xsl:text>Sommaire</xsl:text>
</title-toc> -->
<!-- <title-toc lang="zh">
<xsl:choose>
<xsl:when test="$namespace = 'gb'">
<xsl:text>目次</xsl:text>
</xsl:when>
<xsl:otherwise>
<xsl:text>Contents</xsl:text>
</xsl:otherwise>
</xsl:choose>
</title-toc> -->
<title-toc lang="zh">目次</title-toc>
<title-part lang="en">
</title-part>
<title-part lang="fr">
</title-part>
<title-part lang="ru">
</title-part>
<title-part lang="zh">第 # 部分:</title-part>
<title-subpart lang="en">Sub-part #</title-subpart>
<title-subpart lang="fr">Partie de sub #</title-subpart>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="titles" select="xalan:nodeset($titles_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="title-list-tables">
<xsl:variable name="toc_table_title" select="//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'toc'][@type='table']/*[local-name() = 'title']"/>
<xsl:value-of select="$toc_table_title"/>
<xsl:if test="normalize-space($toc_table_title) = ''">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">toc_tables</xsl:with-param>
</xsl:call-template>
</xsl:if>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="title-list-figures">
<xsl:variable name="toc_figure_title" select="//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'toc'][@type='figure']/*[local-name() = 'title']"/>
<xsl:value-of select="$toc_figure_title"/>
<xsl:if test="normalize-space($toc_figure_title) = ''">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">toc_figures</xsl:with-param>
</xsl:call-template>
</xsl:if>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="title-list-recommendations">
<xsl:variable name="toc_requirement_title" select="//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'toc'][@type='requirement']/*[local-name() = 'title']"/>
<xsl:value-of select="$toc_requirement_title"/>
<xsl:if test="normalize-space($toc_requirement_title) = ''">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">toc_recommendations</xsl:with-param>
</xsl:call-template>
</xsl:if>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibdata">
<xsl:copy-of select="//*[contains(local-name(), '-standard')]/*[local-name() = 'bibdata']"/>
<xsl:copy-of select="//*[contains(local-name(), '-standard')]/*[local-name() = 'localized-strings']"/>
</xsl:variable>
<!-- Characters -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="linebreak">
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="tab_zh"> </xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="non_breaking_hyphen">‑</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="thin_space"> </xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="zero_width_space"></xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hair_space"> </xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="en_dash">–</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="em_dash">—</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="cr"> </xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="lf">
</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getTitle">
<xsl:param name="name"/>
<xsl:param name="lang"/>
<xsl:variable name="lang_">
<xsl:choose>
<xsl:when test="$lang != ''">
<xsl:value-of select="$lang"/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="getLang"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="language" select="normalize-space($lang_)"/>
<xsl:variable name="title_" select="$titles/*[local-name() = $name][@lang = $language]"/>
<xsl:choose>
<xsl:when test="normalize-space($title_) != ''">
<xsl:value-of select="$title_"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$titles/*[local-name() = $name][@lang = 'en']"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="lower">abcdefghijklmnopqrstuvwxyz</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="upper">ABCDEFGHIJKLMNOPQRSTUVWXYZ</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="en_chars" select="concat($lower,$upper,',.`1234567890-=~!@#$%^*()_+[]{}\|?/')"/>
<!-- ====================================== -->
<!-- STYLES -->
<!-- ====================================== -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="font_noto_sans">Noto Sans, Noto Sans HK, Noto Sans JP, Noto Sans KR, Noto Sans SC, Noto Sans TC</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="font_noto_sans_mono">Noto Sans Mono, Noto Sans Mono CJK HK, Noto Sans Mono CJK JP, Noto Sans Mono CJK KR, Noto Sans Mono CJK SC, Noto Sans Mono CJK TC</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="font_noto_serif">Noto Serif, Noto Serif HK, Noto Serif JP, Noto Serif KR, Noto Serif SC, Noto Serif TC</xsl:variable>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="root-style">
<xsl:attribute name="font-family">OpenSans, STIX Two Math, <xsl:value-of select="$font_noto_sans"/></xsl:attribute>
<xsl:attribute name="font-family-generic">Sans</xsl:attribute>
<xsl:attribute name="font-weight">300</xsl:attribute>
<xsl:attribute name="font-size">11pt</xsl:attribute>
<xsl:attribute name="color">rgb(88, 88, 90)</xsl:attribute>
</xsl:attribute-set> <!-- root-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertRootStyle">
<xsl:param name="root-style"/>
<xsl:variable name="root-style_" select="xalan:nodeset($root-style)"/>
<xsl:variable name="additional_fonts_">
<xsl:for-each select="//*[contains(local-name(), '-standard')][1]/*[local-name() = 'metanorma-extension']/*[local-name() = 'presentation-metadata'][*[local-name() = 'name'] = 'fonts']/*[local-name() = 'value'] | //*[contains(local-name(), '-standard')][1]/*[local-name() = 'presentation-metadata'][*[local-name() = 'name'] = 'fonts']/*[local-name() = 'value']">
<xsl:value-of select="."/><xsl:if test="position() != last()">, </xsl:if>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="additional_fonts" select="normalize-space($additional_fonts_)"/>
<xsl:variable name="font_family_generic" select="$root-style_/root-style/@font-family-generic"/>
<xsl:for-each select="$root-style_/root-style/@*">
<xsl:choose>
<xsl:when test="local-name() = 'font-family-generic'"><!-- skip, it's using for determine 'sans' or 'serif' --></xsl:when>
<xsl:when test="local-name() = 'font-family'">
<xsl:variable name="font_regional_prefix">
<xsl:choose>
<xsl:when test="$font_family_generic = 'Sans'">Noto Sans</xsl:when>
<xsl:otherwise>Noto Serif</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:attribute name="{local-name()}">
<xsl:variable name="font_extended">
<xsl:choose>
<xsl:when test="$lang = 'zh'"><xsl:value-of select="$font_regional_prefix"/> SC</xsl:when>
<xsl:when test="$lang = 'hk'"><xsl:value-of select="$font_regional_prefix"/> HK</xsl:when>
<xsl:when test="$lang = 'jp'"><xsl:value-of select="$font_regional_prefix"/> JP</xsl:when>
<xsl:when test="$lang = 'kr'"><xsl:value-of select="$font_regional_prefix"/> KR</xsl:when>
<xsl:when test="$lang = 'sc'"><xsl:value-of select="$font_regional_prefix"/> SC</xsl:when>
<xsl:when test="$lang = 'tc'"><xsl:value-of select="$font_regional_prefix"/> TC</xsl:when>
</xsl:choose>
</xsl:variable>
<xsl:if test="normalize-space($font_extended) != ''">
<xsl:value-of select="$font_regional_prefix"/><xsl:text>, </xsl:text>
<xsl:value-of select="$font_extended"/><xsl:text>, </xsl:text>
</xsl:if>
<xsl:variable name="font_family" select="."/>
<xsl:choose>
<xsl:when test="$additional_fonts = ''">
<xsl:value-of select="$font_family"/>
</xsl:when>
<xsl:otherwise> <!-- $additional_fonts != '' -->
<xsl:choose>
<xsl:when test="contains($font_family, ',')">
<xsl:value-of select="substring-before($font_family, ',')"/>
<xsl:text>, </xsl:text><xsl:value-of select="$additional_fonts"/>
<xsl:text>, </xsl:text><xsl:value-of select="substring-after($font_family, ',')"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$font_family"/>
<xsl:text>, </xsl:text><xsl:value-of select="$additional_fonts"/>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="."/>
</xsl:otherwise>
</xsl:choose>
<!-- <xsl:choose>
<xsl:when test="local-name() = 'font-family'">
<xsl:attribute name="{local-name()}">
<xsl:value-of select="."/>, <xsl:value-of select="$additional_fonts"/>
</xsl:attribute>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="."/>
</xsl:otherwise>
</xsl:choose> -->
</xsl:for-each>
</xsl:template> <!-- insertRootStyle -->
<!-- Preface sections styles -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="copyright-statement-style">
</xsl:attribute-set> <!-- copyright-statement-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="copyright-statement-title-style">
</xsl:attribute-set> <!-- copyright-statement-title-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="copyright-statement-p-style">
</xsl:attribute-set> <!-- copyright-statement-p-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="license-statement-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="license-statement-title-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set> <!-- license-statement-title-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="license-statement-p-style">
</xsl:attribute-set> <!-- license-statement-p-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="legal-statement-style">
</xsl:attribute-set> <!-- legal-statement-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="legal-statement-title-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="padding-top">2mm</xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
</xsl:attribute-set> <!-- legal-statement-title-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="legal-statement-p-style">
</xsl:attribute-set> <!-- legal-statement-p-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="feedback-statement-style">
</xsl:attribute-set> <!-- feedback-statement-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="feedback-statement-title-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set> <!-- feedback-statement-title-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="feedback-statement-p-style">
</xsl:attribute-set> <!-- feedback-statement-p-style -->
<!-- End Preface sections styles -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="link-style">
<xsl:attribute name="color"><xsl:value-of select="$color_blue"/></xsl:attribute>
<xsl:attribute name="font-weight">300</xsl:attribute><!-- bold -->
<xsl:attribute name="text-decoration">underline</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_link-style">
<xsl:if test="ancestor::*[local-name() = 'bibitem']">
<xsl:attribute name="color">black</xsl:attribute>
<xsl:attribute name="text-decoration">none</xsl:attribute>
<xsl:attribute name="font-weight">300</xsl:attribute>
</xsl:if>
</xsl:template> <!-- refine_link-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="sourcecode-container-style">
<xsl:attribute name="space-after">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="sourcecode-style">
<xsl:attribute name="white-space">pre</xsl:attribute>
<xsl:attribute name="wrap-option">wrap</xsl:attribute>
<xsl:attribute name="role">Code</xsl:attribute>
<xsl:attribute name="font-family"><xsl:value-of select="$font_noto_sans_mono"/></xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="line-height">113%</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_sourcecode-style">
<!-- background for image -->
<xsl:if test="starts-with(*[local-name() = 'name']/text()[1], 'Figure ')">
<xsl:attribute name="background-color">rgb(236,242,246)</xsl:attribute>
<xsl:attribute name="padding-left">11mm</xsl:attribute>
<xsl:attribute name="margin-left">0mm</xsl:attribute>
<xsl:attribute name="padding-right">11mm</xsl:attribute>
<xsl:attribute name="margin-right">0mm</xsl:attribute>
<xsl:attribute name="padding-top">7.5mm</xsl:attribute>
<xsl:attribute name="padding-bottom">7.5mm</xsl:attribute>
<xsl:if test="following-sibling::*[1][local-name() = 'sourcecode'] and starts-with(*[local-name() = 'name']/text()[1], 'Figure ')">
<xsl:attribute name="margin-bottom">16pt</xsl:attribute>
</xsl:if>
</xsl:if>
</xsl:template> <!-- refine_sourcecode-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="pre-style">
<xsl:attribute name="font-family">Courier New, <xsl:value-of select="$font_noto_sans_mono"/></xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
<xsl:attribute name="font-family"><xsl:value-of select="$font_noto_sans_mono"/></xsl:attribute>
<xsl:attribute name="line-height">113%</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="permission-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="permission-name-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="permission-label-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="requirement-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="requirement-name-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="requirement-label-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="subject-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="inherit-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="description-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="specification-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="measurement-target-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="verification-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="import-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="component-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="recommendation-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="recommendation-name-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="recommendation-label-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="termexample-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_termexample-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="example-style">
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set> <!-- example-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_example-style">
<xsl:if test="ancestor::ribose:ul or ancestor::ribose:ol">
<xsl:attribute name="margin-top">6pt</xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
</xsl:if>
</xsl:template> <!-- refine_example-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="example-body-style">
</xsl:attribute-set> <!-- example-body-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="example-name-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_blue"/></xsl:attribute>
<xsl:attribute name="padding-right">0.5mm</xsl:attribute>
</xsl:attribute-set> <!-- example-name-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_example-name-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="example-p-style">
<xsl:attribute name="margin-bottom">14pt</xsl:attribute>
</xsl:attribute-set> <!-- example-p-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_example-p-style">
</xsl:template> <!-- refine_example-p-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="termexample-name-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_blue"/></xsl:attribute>
<xsl:attribute name="padding-right">0.5mm</xsl:attribute>
</xsl:attribute-set> <!-- termexample-name-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_termexample-name-style">
</xsl:template>
<!-- ========================== -->
<!-- Table styles -->
<!-- ========================== -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-border_">
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-border" select="normalize-space($table-border_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-cell-border_">
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-cell-border" select="normalize-space($table-cell-border_)"/>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-container-style">
<xsl:attribute name="margin-left">0mm</xsl:attribute>
<xsl:attribute name="margin-right">0mm</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set> <!-- table-container-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-container-style">
<xsl:param name="margin-side"/>
<!-- end table block-container attributes -->
</xsl:template> <!-- refine_table-container-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-style">
<xsl:attribute name="table-omit-footer-at-break">true</xsl:attribute>
<xsl:attribute name="table-layout">fixed</xsl:attribute>
<xsl:attribute name="border">0pt solid black</xsl:attribute>
<xsl:attribute name="font-size">9.5pt</xsl:attribute> <!-- 8pt -->
</xsl:attribute-set><!-- table-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-style">
<xsl:param name="margin-side"/>
<xsl:call-template name="setBordersTableArray"/>
</xsl:template> <!-- refine_table-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-name-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="font-size">13pt</xsl:attribute>
<xsl:attribute name="font-weight">300</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
<xsl:attribute name="text-align">left</xsl:attribute>
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set> <!-- table-name-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-name-style">
<xsl:param name="continued"/>
</xsl:template> <!-- refine_table-name-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-row-style">
<xsl:attribute name="min-height">4mm</xsl:attribute>
<xsl:attribute name="min-height">8.5mm</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-header-row-style" use-attribute-sets="table-row-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="background-color">rgb(32, 98, 169)</xsl:attribute>
<xsl:attribute name="color">white</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-header-row-style">
<xsl:call-template name="setBordersTableArray"/>
</xsl:template> <!-- refine_table-header-row-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-footer-row-style" use-attribute-sets="table-row-style">
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-footer-row-style">
</xsl:template> <!-- refine_table-footer-row-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-body-row-style" use-attribute-sets="table-row-style">
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-body-row-style">
<xsl:call-template name="setBordersTableArray"/>
<xsl:variable name="number"><xsl:number/></xsl:variable>
<xsl:if test="$number mod 2 = 0">
<xsl:attribute name="background-color">rgb(254, 247, 228)</xsl:attribute>
</xsl:if>
</xsl:template> <!-- refine_table-body-row-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-header-cell-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="padding-left">1mm</xsl:attribute>
<xsl:attribute name="padding-right">1mm</xsl:attribute>
<xsl:attribute name="display-align">center</xsl:attribute>
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="border">0pt solid black</xsl:attribute>
</xsl:attribute-set> <!-- table-header-cell-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-header-cell-style">
<xsl:call-template name="setBordersTableArray"/>
<xsl:if test="$lang = 'ar'">
<xsl:attribute name="padding-right">1mm</xsl:attribute>
</xsl:if>
<xsl:call-template name="setTableCellAttributes"/>
</xsl:template> <!-- refine_table-header-cell-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-cell-style">
<xsl:attribute name="display-align">center</xsl:attribute>
<xsl:attribute name="padding-left">1mm</xsl:attribute>
<xsl:attribute name="padding-right">1mm</xsl:attribute>
<xsl:attribute name="border">0pt solid black</xsl:attribute>
<xsl:attribute name="padding-top">0.5mm</xsl:attribute>
</xsl:attribute-set> <!-- table-cell-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-cell-style">
<xsl:if test="$lang = 'ar'">
<xsl:attribute name="padding-right">1mm</xsl:attribute>
</xsl:if>
<!-- bsi -->
<xsl:call-template name="setBordersTableArray"/>
</xsl:template> <!-- refine_table-cell-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-footer-cell-style">
<xsl:attribute name="border">solid black 1pt</xsl:attribute>
<xsl:attribute name="padding-left">1mm</xsl:attribute>
<xsl:attribute name="padding-right">1mm</xsl:attribute>
<xsl:attribute name="padding-top">1mm</xsl:attribute>
<xsl:attribute name="border">solid black 0pt</xsl:attribute>
</xsl:attribute-set> <!-- table-footer-cell-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-footer-cell-style">
</xsl:template> <!-- refine_table-footer-cell-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-note-style">
<xsl:attribute name="font-size">10pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="font-size">8pt</xsl:attribute>
</xsl:attribute-set><!-- table-note-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-note-style">
</xsl:template> <!-- refine_table-note-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-fn-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set> <!-- table-fn-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-fn-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-fn-number-style">
<xsl:attribute name="font-size">80%</xsl:attribute>
<xsl:attribute name="padding-right">5mm</xsl:attribute>
</xsl:attribute-set> <!-- table-fn-number-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-fn-number-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="fn-container-body-style">
<xsl:attribute name="text-indent">0</xsl:attribute>
<xsl:attribute name="start-indent">0</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-fn-body-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="figure-fn-number-style">
<xsl:attribute name="font-size">80%</xsl:attribute>
<xsl:attribute name="padding-right">5mm</xsl:attribute>
<xsl:attribute name="vertical-align">super</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="figure-fn-body-style">
<xsl:attribute name="text-align">justify</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<!-- ========================== -->
<!-- END Table styles -->
<!-- ========================== -->
<!-- ========================== -->
<!-- Definition's list styles -->
<!-- ========================== -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="dl-block-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="dt-row-style">
<xsl:attribute name="min-height">7mm</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="dt-cell-style">
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_dt-cell-style">
</xsl:template> <!-- refine_dt-cell-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="dt-block-style">
<xsl:attribute name="margin-top">0pt</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_blue"/></xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_dt-block-style">
</xsl:template> <!-- refine_dt-block-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="dl-name-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
<xsl:attribute name="font-weight">300</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
</xsl:attribute-set> <!-- dl-name-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="dd-cell-style">
<xsl:attribute name="padding-left">2mm</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_dd-cell-style">
</xsl:template> <!-- refine_dd-cell-style -->
<!-- ========================== -->
<!-- END Definition's list styles -->
<!-- ========================== -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="appendix-style">
<xsl:attribute name="font-size">12pt</xsl:attribute>
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="appendix-example-style">
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="xref-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="eref-style">
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_eref-style">
<xsl:variable name="citeas" select="java:replaceAll(java:java.lang.String.new(@citeas),'^\[?(.+?)\]?$','$1')"/> <!-- remove leading and trailing brackets -->
<xsl:variable name="text" select="normalize-space()"/>
</xsl:template> <!-- refine_eref-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="note-style">
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_note-style">
<xsl:if test="ancestor::ribose:ul or ancestor::ribose:ol and not(ancestor::ribose:note[1]/following-sibling::*)">
<xsl:attribute name="margin-top">6pt</xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="note-body-indent">10mm</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="note-body-indent-table">5mm</xsl:variable>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="note-name-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_blue"/></xsl:attribute>
<xsl:attribute name="padding-right">0.5mm</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_note-name-style">
</xsl:template> <!-- refine_note-name-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-note-name-style">
<xsl:attribute name="padding-right">2mm</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_blue"/></xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-note-name-style">
</xsl:template> <!-- refine_table-note-name-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="note-p-style">
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="termnote-style">
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_termnote-style">
</xsl:template> <!-- refine_termnote-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="termnote-name-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_blue"/></xsl:attribute>
<xsl:attribute name="padding-right">0.5mm</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_termnote-name-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="termnote-p-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="quote-style">
<xsl:attribute name="margin-left">12mm</xsl:attribute>
<xsl:attribute name="margin-right">12mm</xsl:attribute>
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-left">13mm</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_quote-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="quote-source-style">
<xsl:attribute name="text-align">right</xsl:attribute>
<xsl:attribute name="margin-right">25mm</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="termsource-style">
<xsl:attribute name="keep-with-previous">always</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_termsource-style">
</xsl:template> <!-- refine_termsource-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="termsource-text-style">
<xsl:attribute name="color"><xsl:value-of select="$color_blue"/></xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="origin-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="term-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="term-name-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="figure-block-style">
<xsl:attribute name="role">SKIP</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_figure-block-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="figure-style">
<!-- background for image -->
<xsl:attribute name="background-color">rgb(236,242,246)</xsl:attribute>
<xsl:attribute name="padding-left">11mm</xsl:attribute>
<xsl:attribute name="margin-left">0mm</xsl:attribute>
<xsl:attribute name="padding-right">11mm</xsl:attribute>
<xsl:attribute name="margin-right">0mm</xsl:attribute>
<xsl:attribute name="padding-top">7.5mm</xsl:attribute>
<xsl:attribute name="padding-bottom">7.5mm</xsl:attribute>
<xsl:attribute name="margin-bottom">3mm</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="figure-name-style">
<xsl:attribute name="role">Caption</xsl:attribute>
<xsl:attribute name="font-size">13pt</xsl:attribute>
<xsl:attribute name="font-weight">300</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
<xsl:attribute name="text-align">left</xsl:attribute>
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_figure-name-style">
</xsl:template> <!-- refine_figure-name-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="figure-source-style">
</xsl:attribute-set>
<!-- Formula's styles -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="formula-style">
<xsl:attribute name="margin-top">6pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set> <!-- formula-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="formula-stem-block-style">
<xsl:attribute name="text-align">center</xsl:attribute>
<xsl:attribute name="text-align">left</xsl:attribute>
<xsl:attribute name="margin-left">5mm</xsl:attribute>
</xsl:attribute-set> <!-- formula-stem-block-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_formula-stem-block-style">
</xsl:template> <!-- refine_formula-stem-block-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="formula-stem-number-style">
<xsl:attribute name="text-align">right</xsl:attribute>
</xsl:attribute-set> <!-- formula-stem-number-style -->
<!-- End Formula's styles -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_formula-stem-number-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="image-style">
<xsl:attribute name="role">SKIP</xsl:attribute>
<xsl:attribute name="text-align">center</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_image-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="figure-pseudocode-p-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="image-graphic-style">
<xsl:attribute name="width">100%</xsl:attribute>
<xsl:attribute name="content-height">100%</xsl:attribute>
<xsl:attribute name="scaling">uniform</xsl:attribute>
<xsl:attribute name="content-height">scale-to-fit</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="tt-style">
<xsl:attribute name="font-family"><xsl:value-of select="$font_noto_sans_mono"/></xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="sourcecode-name-style">
<xsl:attribute name="font-size">11pt</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="text-align">center</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="keep-with-previous">always</xsl:attribute>
<xsl:attribute name="font-size">13pt</xsl:attribute>
<xsl:attribute name="font-weight">300</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
<xsl:attribute name="text-align">left</xsl:attribute>
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="preferred-block-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="preferred-term-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="domain-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="admitted-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="deprecates-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="definition-style">
<xsl:attribute name="keep-with-previous">always</xsl:attribute>
<xsl:attribute name="space-before">12pt</xsl:attribute>
<xsl:attribute name="space-after">6pt</xsl:attribute>
</xsl:attribute-set>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="color-added-text">
<xsl:text>rgb(0, 255, 0)</xsl:text>
</xsl:variable>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add-style">
<xsl:attribute name="color">red</xsl:attribute>
<xsl:attribute name="text-decoration">underline</xsl:attribute>
<!-- <xsl:attribute name="color">black</xsl:attribute>
<xsl:attribute name="background-color"><xsl:value-of select="$color-added-text"/></xsl:attribute>
<xsl:attribute name="padding-top">1mm</xsl:attribute>
<xsl:attribute name="padding-bottom">0.5mm</xsl:attribute> -->
</xsl:attribute-set>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add-style">
<add-style xsl:use-attribute-sets="add-style"/>
</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="append_add-style">
<xsl:copy-of select="xalan:nodeset($add-style)/add-style/@*"/>
</xsl:template>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="color-deleted-text">
<xsl:text>red</xsl:text>
</xsl:variable>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="del-style">
<xsl:attribute name="color"><xsl:value-of select="$color-deleted-text"/></xsl:attribute>
<xsl:attribute name="text-decoration">line-through</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="mathml-style">
<xsl:attribute name="font-family">STIX Two Math</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_mathml-style">
</xsl:template>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="list-style">
<xsl:attribute name="provisional-distance-between-starts">6mm</xsl:attribute>
</xsl:attribute-set> <!-- list-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_list-style">
</xsl:template> <!-- refine_list-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="list-name-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="font-weight">300</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
</xsl:attribute-set> <!-- list-name-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="list-item-style">
<xsl:attribute name="space-after">4pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_list-item-style">
</xsl:template> <!-- refine_list-item-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="list-item-label-style">
<xsl:attribute name="color"><xsl:value-of select="$color_blue"/></xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_list-item-label-style">
</xsl:template> <!-- refine_list-item-label-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="list-item-body-style">
<xsl:attribute name="line-height-shift-adjustment">disregard-shifts</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_list-item-body-style">
</xsl:template> <!-- refine_list-item-body-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="toc-style">
<xsl:attribute name="line-height">135%</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="fn-reference-style">
<xsl:attribute name="font-size">80%</xsl:attribute>
<xsl:attribute name="keep-with-previous.within-line">always</xsl:attribute>
<xsl:attribute name="font-size">70%</xsl:attribute>
<xsl:attribute name="vertical-align">super</xsl:attribute>
<xsl:attribute name="font-style">italic</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_fn-reference-style">
</xsl:template> <!-- refine_fn-reference-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="fn-style">
<xsl:attribute name="keep-with-previous.within-line">always</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="fn-num-style">
<xsl:attribute name="keep-with-previous.within-line">always</xsl:attribute>
<xsl:attribute name="font-size">65%</xsl:attribute>
<xsl:attribute name="vertical-align">super</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="fn-body-style">
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="font-style">normal</xsl:attribute>
<xsl:attribute name="text-indent">0</xsl:attribute>
<xsl:attribute name="start-indent">0</xsl:attribute>
<xsl:attribute name="font-size">10pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="color">rgb(168, 170, 173)</xsl:attribute>
<xsl:attribute name="text-align">left</xsl:attribute>
</xsl:attribute-set>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_fn-body-style">
</xsl:template> <!-- refine_fn-body-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="fn-body-num-style">
<xsl:attribute name="keep-with-next.within-line">always</xsl:attribute>
<xsl:attribute name="font-size">60%</xsl:attribute>
<xsl:attribute name="vertical-align">super</xsl:attribute>
</xsl:attribute-set> <!-- fn-body-num-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_fn-body-num-style">
</xsl:template> <!-- refine_fn-body-num-style -->
<!-- admonition -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="admonition-style">
<xsl:attribute name="border">0.5pt solid rgb(79, 129, 189)</xsl:attribute>
<xsl:attribute name="color">rgb(79, 129, 189)</xsl:attribute>
<xsl:attribute name="margin-left">16mm</xsl:attribute>
<xsl:attribute name="margin-right">16mm</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set> <!-- admonition-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="admonition-container-style">
<xsl:attribute name="margin-left">0mm</xsl:attribute>
<xsl:attribute name="margin-right">0mm</xsl:attribute>
<xsl:attribute name="padding">2mm</xsl:attribute>
<xsl:attribute name="padding-top">3mm</xsl:attribute>
</xsl:attribute-set> <!-- admonition-container-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="admonition-name-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="font-size">11pt</xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="font-style">italic</xsl:attribute>
<xsl:attribute name="text-align">center</xsl:attribute>
</xsl:attribute-set> <!-- admonition-name-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="admonition-p-style">
<xsl:attribute name="font-style">italic</xsl:attribute>
</xsl:attribute-set> <!-- admonition-p-style -->
<!-- end admonition -->
<!-- bibitem in Normative References (references/@normative="true") -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-normative-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="font-weight">normal</xsl:attribute>
</xsl:attribute-set> <!-- bibitem-normative-style -->
<!-- bibitem in Normative References (references/@normative="true"), renders as list -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-normative-list-style">
<xsl:attribute name="provisional-distance-between-starts">12mm</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<!-- <xsl:if test="$namespace = 'ieee'">
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
<xsl:attribute name="provisional-distance-between-starts">9.5mm</xsl:attribute>
</xsl:if> -->
<xsl:attribute name="margin-bottom">4pt</xsl:attribute>
<xsl:attribute name="provisional-distance-between-starts">8mm</xsl:attribute>
</xsl:attribute-set> <!-- bibitem-normative-list-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-non-normative-style">
</xsl:attribute-set> <!-- bibitem-non-normative-style -->
<!-- bibitem in bibliography section (references/@normative="false"), renders as list -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-non-normative-list-style">
<xsl:attribute name="provisional-distance-between-starts">12mm</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">4pt</xsl:attribute>
<xsl:attribute name="provisional-distance-between-starts">8mm</xsl:attribute>
</xsl:attribute-set> <!-- bibitem-non-normative-list-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-non-normative-list-item-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">4pt</xsl:attribute>
</xsl:attribute-set>
<!-- bibitem in bibliography section (references/@normative="false"), list body -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-normative-list-body-style">
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-non-normative-list-body-style">
</xsl:attribute-set> <!-- bibitem-non-normative-list-body-style -->
<!-- footnote reference number for bibitem, in the text -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-note-fn-style">
<xsl:attribute name="keep-with-previous.within-line">always</xsl:attribute>
<xsl:attribute name="font-size">65%</xsl:attribute>
<xsl:attribute name="vertical-align">super</xsl:attribute>
</xsl:attribute-set> <!-- bibitem-note-fn-style -->
<!-- footnote number on the page bottom -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-note-fn-number-style">
<xsl:attribute name="keep-with-next.within-line">always</xsl:attribute>
<xsl:attribute name="font-size">60%</xsl:attribute>
<xsl:attribute name="vertical-align">super</xsl:attribute>
</xsl:attribute-set> <!-- bibitem-note-fn-number-style -->
<!-- footnote body (text) on the page bottom -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitem-note-fn-body-style">
<xsl:attribute name="font-size">10pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="start-indent">0pt</xsl:attribute>
<xsl:attribute name="color">rgb(168, 170, 173)</xsl:attribute>
</xsl:attribute-set> <!-- bibitem-note-fn-body-style -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="references-non-normative-style">
</xsl:attribute-set> <!-- references-non-normative-style -->
<!-- Highlight.js syntax GitHub styles -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-doctag">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-keyword">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-meta_hljs-keyword">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-template-tag">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-template-variable">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-type">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-variable_and_language_">
<xsl:attribute name="color">#d73a49</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-title">
<xsl:attribute name="color">#6f42c1</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-title_and_class_">
<xsl:attribute name="color">#6f42c1</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-title_and_class__and_inherited__">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-title_and_function_">
<xsl:attribute name="color">#6f42c1</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-attr">
<xsl:attribute name="color">#005cc5</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-attribute">
<xsl:attribute name="color">#005cc5</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-literal">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-meta">
<xsl:attribute name="color">#005cc5</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-number">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-operator">
<xsl:attribute name="color">#005cc5</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-variable">
<xsl:attribute name="color">#005cc5</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-selector-attr">
<xsl:attribute name="color">#005cc5</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-selector-class">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-selector-id">
<xsl:attribute name="color">#005cc5</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-regexp">
<xsl:attribute name="color">#032f62</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-string">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-meta_hljs-string">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-built_in">
<xsl:attribute name="color">#e36209</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-symbol">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-code">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-formula">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-name">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-quote">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-selector-tag">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-selector-pseudo">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-subst">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-section">
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<xsl:attribute name="font-weight">bold</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-bullet">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-emphasis">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-strong">
<xsl:attribute name="color">#24292e</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-addition">
<xsl:attribute name="color">#22863a</xsl:attribute>
<xsl:attribute name="background-color">#f0fff4</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-deletion">
<xsl:attribute name="color">#b31d28</xsl:attribute>
<xsl:attribute name="background-color">#ffeef0</xsl:attribute>
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-char_and_escape_">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-link">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-params">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-property">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-punctuation">
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<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="hljs-tag">
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<!-- Index section styles -->
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="indexsect-title-style">
<xsl:attribute name="role">H1</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set xmlns:redirect="http://xml.apache.org/xalan/redirect" name="indexsect-clause-title-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set>
<!-- End Index section styles -->
<!-- ====================================== -->
<!-- END STYLES -->
<!-- ====================================== -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="border-block-added">2.5pt solid rgb(0, 176, 80)</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="border-block-deleted">2.5pt solid rgb(255, 0, 0)</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="ace_tag">ace-tag_</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processPrefaceSectionsDefault_Contents">
<xsl:variable name="nodes_preface_">
<xsl:for-each select="/*/*[local-name()='preface']/*[not(local-name() = 'note' or local-name() = 'admonition' or @type = 'toc')]">
<node id="{@id}"/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="nodes_preface" select="xalan:nodeset($nodes_preface_)"/>
<xsl:for-each select="/*/*[local-name()='preface']/*[not(local-name() = 'note' or local-name() = 'admonition' or @type = 'toc')]">
<xsl:sort select="@displayorder" data-type="number"/>
<!-- process Section's title -->
<xsl:variable name="preceding-sibling_id" select="$nodes_preface/node[@id = current()/@id]/preceding-sibling::node[1]/@id"/>
<xsl:if test="$preceding-sibling_id != ''">
<xsl:apply-templates select="parent::*/*[@type = 'section-title' and @id = $preceding-sibling_id and not(@displayorder)]" mode="contents_no_displayorder"/>
</xsl:if>
<xsl:apply-templates select="." mode="contents"/>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processMainSectionsDefault_Contents">
<xsl:variable name="nodes_sections_">
<xsl:for-each select="/*/*[local-name()='sections']/*">
<node id="{@id}"/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="nodes_sections" select="xalan:nodeset($nodes_sections_)"/>
<xsl:for-each select="/*/*[local-name()='sections']/* | /*/*[local-name()='bibliography']/*[local-name()='references'][@normative='true'] | /*/*[local-name()='bibliography']/*[local-name()='clause'][*[local-name()='references'][@normative='true']]">
<xsl:sort select="@displayorder" data-type="number"/>
<!-- process Section's title -->
<xsl:variable name="preceding-sibling_id" select="$nodes_sections/node[@id = current()/@id]/preceding-sibling::node[1]/@id"/>
<xsl:if test="$preceding-sibling_id != ''">
<xsl:apply-templates select="parent::*/*[@type = 'section-title' and @id = $preceding-sibling_id and not(@displayorder)]" mode="contents_no_displayorder"/>
</xsl:if>
<xsl:apply-templates select="." mode="contents"/>
</xsl:for-each>
<!-- <xsl:for-each select="/*/*[local-name()='annex']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="contents"/>
</xsl:for-each> -->
<xsl:for-each select="/*/*[local-name()='annex'] | /*/*[local-name()='bibliography']/*[not(@normative='true') and not(*[local-name()='references'][@normative='true'])][count(.//*[local-name() = 'bibitem'][not(@hidden) = 'true']) > 0] | /*/*[local-name()='bibliography']/*[local-name()='clause'][*[local-name()='references'][not(@normative='true')]][count(.//*[local-name() = 'bibitem'][not(@hidden) = 'true']) > 0]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="contents"/>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processTablesFigures_Contents">
<xsl:param name="always"/>
<xsl:if test="(//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'toc'][@type='table']/*[local-name() = 'title']) or normalize-space($always) = 'true'">
<xsl:call-template name="processTables_Contents"/>
</xsl:if>
<xsl:if test="(//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'toc'][@type='figure']/*[local-name() = 'title']) or normalize-space($always) = 'true'">
<xsl:call-template name="processFigures_Contents"/>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processTables_Contents">
<tables>
<xsl:for-each select="//*[local-name() = 'table'][not(ancestor::*[local-name() = 'metanorma-extension'])][@id and *[local-name() = 'name'] and normalize-space(@id) != '']">
<table id="{@id}" alt-text="{*[local-name() = 'name']}">
<xsl:copy-of select="*[local-name() = 'name']"/>
</table>
</xsl:for-each>
</tables>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processFigures_Contents">
<figures>
<xsl:for-each select="//*[local-name() = 'figure'][@id and *[local-name() = 'name'] and not(@unnumbered = 'true') and normalize-space(@id) != ''] | //*[@id and starts-with(*[local-name() = 'name'], 'Figure ') and normalize-space(@id) != '']">
<figure id="{@id}" alt-text="{*[local-name() = 'name']}">
<xsl:copy-of select="*[local-name() = 'name']"/>
</figure>
</xsl:for-each>
</figures>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processPrefaceSectionsDefault">
<xsl:for-each select="/*/*[local-name()='preface']/*[not(local-name() = 'note' or local-name() = 'admonition')]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="."/>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processPrefaceSectionsDefault_items">
<xsl:variable name="updated_xml_step_move_pagebreak_">
<xsl:element name="{$root_element}" namespace="{$namespace_full}">
<xsl:call-template name="copyCommonElements"/>
<xsl:element name="preface" namespace="{$namespace_full}"> <!-- save context element -->
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:for-each select="/*/*[local-name()='preface']/*[not(local-name() = 'note' or local-name() = 'admonition')]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:for-each>
</xsl:element>
</xsl:element>
</xsl:element>
</xsl:variable>
<xsl:variable name="updated_xml_step_move_pagebreak_filename" select="concat($output_path,'_preface_', java:getTime(java:java.util.Date.new()), '.xml')"/>
<redirect:write file="{$updated_xml_step_move_pagebreak_filename}">
<xsl:copy-of select="$updated_xml_step_move_pagebreak_"/>
</redirect:write>
<xsl:copy-of select="document($updated_xml_step_move_pagebreak_filename)"/>
<xsl:call-template name="deleteFile">
<xsl:with-param name="filepath" select="$updated_xml_step_move_pagebreak_filename"/>
</xsl:call-template>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="copyCommonElements">
<!-- copy bibdata, localized-strings, metanorma-extension and boilerplate -->
<xsl:copy-of select="/*/*[local-name() != 'preface' and local-name() != 'sections' and local-name() != 'annex' and local-name() != 'bibliography']"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processMainSectionsDefault">
<xsl:for-each select="/*/*[local-name()='sections']/* | /*/*[local-name()='bibliography']/*[local-name()='references'][@normative='true']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="."/>
</xsl:for-each>
<xsl:for-each select="/*/*[local-name()='annex']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="."/>
</xsl:for-each>
<xsl:for-each select="/*/*[local-name()='bibliography']/*[not(@normative='true')] | /*/*[local-name()='bibliography']/*[local-name()='clause'][*[local-name()='references'][not(@normative='true')]]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="."/>
</xsl:for-each>
</xsl:template><!-- END: processMainSectionsDefault -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processMainSectionsDefault_flatxml">
<xsl:for-each select="/*/*[local-name()='sections']/* | /*/*[local-name()='bibliography']/*[local-name()='references'][@normative='true']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:variable name="flatxml">
<xsl:apply-templates select="." mode="flatxml"/>
</xsl:variable>
<!-- debug_flatxml='<xsl:copy-of select="$flatxml"/>' -->
<xsl:apply-templates select="xalan:nodeset($flatxml)/*"/>
</xsl:for-each>
<xsl:for-each select="/*/*[local-name()='annex']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:variable name="flatxml">
<xsl:apply-templates select="." mode="flatxml"/>
</xsl:variable>
<!-- debug_flatxml='<xsl:copy-of select="$flatxml"/>' -->
<xsl:apply-templates select="xalan:nodeset($flatxml)/*"/>
</xsl:for-each>
<xsl:for-each select="/*/*[local-name()='bibliography']/*[not(@normative='true')] | /*/*[local-name()='bibliography']/*[local-name()='clause'][*[local-name()='references'][not(@normative='true')]]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:variable name="flatxml">
<xsl:apply-templates select="." mode="flatxml"/>
</xsl:variable>
<!-- debug_flatxml='<xsl:copy-of select="$flatxml"/>' -->
<xsl:apply-templates select="xalan:nodeset($flatxml)/*"/>
</xsl:for-each>
</xsl:template>
<!-- Example:
<iso-standard>
<sections>
<page_sequence>
<clause...
</page_sequence>
<page_sequence>
<clause...
</page_sequence>
</sections>
<page_sequence>
<annex ..
</page_sequence>
<page_sequence>
<annex ..
</page_sequence>
</iso-standard>
-->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processMainSectionsDefault_items">
<xsl:variable name="updated_xml_step_move_pagebreak_">
<xsl:element name="{$root_element}" namespace="{$namespace_full}">
<xsl:call-template name="copyCommonElements"/>
<xsl:element name="sections" namespace="{$namespace_full}"> <!-- save context element -->
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:for-each select="/*/*[local-name()='sections']/* | /*/*[local-name()='bibliography']/*[local-name()='references'][@normative='true']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:for-each>
</xsl:element>
</xsl:element>
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:for-each select="/*/*[local-name()='annex']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:for-each>
</xsl:element>
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:element name="bibliography" namespace="{$namespace_full}"> <!-- save context element -->
<xsl:for-each select="/*/*[local-name()='bibliography']/*[not(@normative='true')] | /*/*[local-name()='bibliography']/*[local-name()='clause'][*[local-name()='references'][not(@normative='true')]]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:for-each>
</xsl:element>
</xsl:element>
</xsl:element>
</xsl:variable>
<xsl:variable name="updated_xml_step_move_pagebreak_filename" select="concat($output_path,'_main_', java:getTime(java:java.util.Date.new()), '.xml')"/>
<redirect:write file="{$updated_xml_step_move_pagebreak_filename}">
<xsl:copy-of select="$updated_xml_step_move_pagebreak_"/>
</redirect:write>
<xsl:copy-of select="document($updated_xml_step_move_pagebreak_filename)"/>
<xsl:call-template name="deleteFile">
<xsl:with-param name="filepath" select="$updated_xml_step_move_pagebreak_filename"/>
</xsl:call-template>
</xsl:template> <!-- END: processMainSectionsDefault_items -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="deleteFile">
<xsl:param name="filepath"/>
<xsl:variable name="xml_file" select="java:java.io.File.new($filepath)"/>
<xsl:variable name="xml_file_path" select="java:toPath($xml_file)"/>
<xsl:variable name="deletefile" select="java:java.nio.file.Files.deleteIfExists($xml_file_path)"/>
</xsl:template>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="regex_standard_reference">([A-Z]{2,}(/[A-Z]{2,})* \d+(-\d+)*(:\d{4})?)</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="tag_fo_inline_keep-together_within-line_open">###fo:inline keep-together_within-line###</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="tag_fo_inline_keep-together_within-line_close">###/fo:inline keep-together_within-line###</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()" name="text">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'table']"><xsl:value-of select="."/></xsl:when>
<xsl:otherwise>
<xsl:variable name="text" select="java:replaceAll(java:java.lang.String.new(.),$regex_standard_reference,concat($tag_fo_inline_keep-together_within-line_open,'$1',$tag_fo_inline_keep-together_within-line_close))"/>
<xsl:call-template name="replace_fo_inline_tags">
<xsl:with-param name="tag_open" select="$tag_fo_inline_keep-together_within-line_open"/>
<xsl:with-param name="tag_close" select="$tag_fo_inline_keep-together_within-line_close"/>
<xsl:with-param name="text" select="$text"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="replace_fo_inline_tags">
<xsl:param name="tag_open"/>
<xsl:param name="tag_close"/>
<xsl:param name="text"/>
<xsl:choose>
<xsl:when test="contains($text, $tag_open)">
<xsl:value-of select="substring-before($text, $tag_open)"/>
<!-- <xsl:text disable-output-escaping="yes"><fo:inline keep-together.within-line="always"></xsl:text> -->
<xsl:variable name="text_after" select="substring-after($text, $tag_open)"/>
<fo:inline keep-together.within-line="always">
<xsl:value-of select="substring-before($text_after, $tag_close)"/>
</fo:inline>
<!-- <xsl:text disable-output-escaping="yes"></fo:inline></xsl:text> -->
<xsl:call-template name="replace_fo_inline_tags">
<xsl:with-param name="tag_open" select="$tag_open"/>
<xsl:with-param name="tag_close" select="$tag_close"/>
<xsl:with-param name="text" select="substring-after($text_after, $tag_close)"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise><xsl:value-of select="$text"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='br']">
<xsl:value-of select="$linebreak"/>
</xsl:template>
<!-- keep-together for standard's name (ISO 12345:2020) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'keep-together_within-line']">
<xsl:param name="split_keep-within-line"/>
<!-- <fo:inline>split_keep-within-line='<xsl:value-of select="$split_keep-within-line"/>'</fo:inline> -->
<xsl:choose>
<xsl:when test="normalize-space($split_keep-within-line) = 'true'">
<xsl:variable name="sep">_</xsl:variable>
<xsl:variable name="items">
<xsl:call-template name="split">
<xsl:with-param name="pText" select="."/>
<xsl:with-param name="sep" select="$sep"/>
<xsl:with-param name="normalize-space">false</xsl:with-param>
<xsl:with-param name="keep_sep">true</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($items)/item">
<xsl:choose>
<xsl:when test=". = $sep">
<xsl:value-of select="$sep"/><xsl:value-of select="$zero_width_space"/>
</xsl:when>
<xsl:otherwise>
<fo:inline keep-together.within-line="always" role="SKIP"><xsl:apply-templates/></fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<fo:inline keep-together.within-line="always" role="SKIP"><xsl:apply-templates/></fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ================================= -->
<!-- Preface boilerplate sections processing -->
<!-- ================================= -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='copyright-statement']">
<fo:block xsl:use-attribute-sets="copyright-statement-style" role="SKIP">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- copyright-statement -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='copyright-statement']//*[local-name()='title']">
<!-- process in the template 'title' -->
<xsl:call-template name="title"/>
</xsl:template> <!-- copyright-statement//title -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='copyright-statement']//*[local-name()='p']">
<!-- process in the template 'paragraph' -->
<xsl:call-template name="paragraph"/>
</xsl:template> <!-- copyright-statement//p -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='license-statement']">
<fo:block xsl:use-attribute-sets="license-statement-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- license-statement -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='license-statement']//*[local-name()='title']">
<!-- process in the template 'title' -->
<xsl:call-template name="title"/>
</xsl:template> <!-- license-statement/title -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='license-statement']//*[local-name()='p']">
<!-- process in the template 'paragraph' -->
<xsl:call-template name="paragraph"/>
</xsl:template> <!-- license-statement/p -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='legal-statement']">
<xsl:param name="isLegacy">false</xsl:param>
<fo:block xsl:use-attribute-sets="legal-statement-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- legal-statement -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='legal-statement']//*[local-name()='title']">
<!-- ogc-white-paper rsd -->
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<fo:block role="H{$level}" xsl:use-attribute-sets="legal-statement-title-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- legal-statement/title -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='legal-statement']//*[local-name()='p']">
<xsl:param name="margin"/>
<!-- process in the template 'paragraph' -->
<xsl:call-template name="paragraph">
<xsl:with-param name="margin" select="$margin"/>
</xsl:call-template>
</xsl:template> <!-- legal-statement/p -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='feedback-statement']">
<fo:block xsl:use-attribute-sets="feedback-statement-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- feedback-statement -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='feedback-statement']//*[local-name()='title']">
<!-- process in the template 'title' -->
<xsl:call-template name="title"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='feedback-statement']//*[local-name()='p']">
<xsl:param name="margin"/>
<!-- process in the template 'paragraph' -->
<xsl:call-template name="paragraph">
<xsl:with-param name="margin" select="$margin"/>
</xsl:call-template>
</xsl:template>
<!-- ================================= -->
<!-- END Preface boilerplate sections processing -->
<!-- ================================= -->
<!-- add zero spaces into table cells text -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='td']//text() | *[local-name()='th']//text() | *[local-name()='dt']//text() | *[local-name()='dd']//text()" priority="1">
<xsl:choose>
<xsl:when test="parent::*[local-name() = 'keep-together_within-line']">
<xsl:value-of select="."/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="addZeroWidthSpacesToTextNodes"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="addZeroWidthSpacesToTextNodes">
<xsl:variable name="text"><text><xsl:call-template name="text"/></text></xsl:variable>
<!-- <xsl:copy-of select="$text"/> -->
<xsl:for-each select="xalan:nodeset($text)/text/node()">
<xsl:choose>
<xsl:when test="self::text()"><xsl:call-template name="add-zero-spaces-java"/></xsl:when>
<xsl:otherwise><xsl:copy-of select="."/></xsl:otherwise> <!-- copy 'as-is' for <fo:inline keep-together.within-line="always" ... -->
</xsl:choose>
</xsl:for-each>
</xsl:template>
<!-- for table auto-layout algorithm -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_only_with_id"/> <!-- Example: 'table1' -->
<xsl:param xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_only_with_ids"/> <!-- Example: 'table1 table2 table3 ' -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='table']" priority="2">
<xsl:choose>
<xsl:when test="$table_only_with_id != '' and @id = $table_only_with_id">
<xsl:call-template name="table"/>
</xsl:when>
<xsl:when test="$table_only_with_id != ''"><fo:block/><!-- to prevent empty fo:block-container --></xsl:when>
<xsl:when test="$table_only_with_ids != '' and contains($table_only_with_ids, concat(@id, ' '))">
<xsl:call-template name="table"/>
</xsl:when>
<xsl:when test="$table_only_with_ids != ''"><fo:block/><!-- to prevent empty fo:block-container --></xsl:when>
<xsl:otherwise>
<xsl:call-template name="table"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='table']" name="table">
<xsl:variable name="table-preamble">
</xsl:variable>
<xsl:variable name="table">
<xsl:variable name="simple-table">
<xsl:if test="$isGenerateTableIF = 'true' and $isApplyAutolayoutAlgorithm = 'true'">
<xsl:call-template name="getSimpleTable">
<xsl:with-param name="id" select="@id"/>
</xsl:call-template>
</xsl:if>
</xsl:variable>
<!-- <xsl:variable name="simple-table" select="xalan:nodeset($simple-table_)"/> -->
<!-- simple-table=<xsl:copy-of select="$simple-table"/> -->
<!-- Display table's name before table as standalone block -->
<!-- $namespace = 'iso' or -->
<xsl:apply-templates select="*[local-name()='name']"/> <!-- table's title rendered before table -->
<xsl:variable name="cols-count" select="count(xalan:nodeset($simple-table)/*/tr[1]/td)"/>
<xsl:variable name="colwidths">
<xsl:if test="not(*[local-name()='colgroup']/*[local-name()='col']) and not(@class = 'dl')">
<xsl:call-template name="calculate-column-widths">
<xsl:with-param name="cols-count" select="$cols-count"/>
<xsl:with-param name="table" select="$simple-table"/>
</xsl:call-template>
</xsl:if>
</xsl:variable>
<!-- <xsl:variable name="colwidths" select="xalan:nodeset($colwidths_)"/> -->
<!-- DEBUG -->
<xsl:if test="$table_if_debug = 'true'">
<fo:block font-size="60%">
<xsl:apply-templates select="xalan:nodeset($colwidths)" mode="print_as_xml"/>
</fo:block>
</xsl:if>
<!-- <xsl:copy-of select="$colwidths"/> -->
<!-- <xsl:text disable-output-escaping="yes"><!- -</xsl:text>
DEBUG
colwidths=<xsl:copy-of select="$colwidths"/>
<xsl:text disable-output-escaping="yes">- -></xsl:text> -->
<xsl:variable name="margin-side">
<xsl:choose>
<xsl:when test="$isApplyAutolayoutAlgorithm = 'true'">0</xsl:when>
<xsl:when test="$isApplyAutolayoutAlgorithm = 'skip'">0</xsl:when>
<xsl:when test="sum(xalan:nodeset($colwidths)//column) > 75">15</xsl:when>
<xsl:otherwise>0</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<fo:block-container xsl:use-attribute-sets="table-container-style" role="SKIP">
<xsl:call-template name="refine_table-container-style">
<xsl:with-param name="margin-side" select="$margin-side"/>
</xsl:call-template>
<!-- display table's name before table for PAS inside block-container (2-columnn layout) -->
<xsl:variable name="table_width_default">100%</xsl:variable>
<xsl:variable name="table_width">
<!-- for centered table always 100% (@width will be set for middle/second cell of outer table) -->
<xsl:value-of select="$table_width_default"/>
</xsl:variable>
<xsl:variable name="table_attributes">
<xsl:element name="table_attributes" use-attribute-sets="table-style">
<xsl:if test="$margin-side != 0">
<xsl:attribute name="margin-left">0mm</xsl:attribute>
<xsl:attribute name="margin-right">0mm</xsl:attribute>
</xsl:if>
<xsl:attribute name="width"><xsl:value-of select="normalize-space($table_width)"/></xsl:attribute>
<xsl:call-template name="refine_table-style">
<xsl:with-param name="margin-side" select="$margin-side"/>
</xsl:call-template>
</xsl:element>
</xsl:variable>
<xsl:if test="$isGenerateTableIF = 'true'">
<!-- to determine start of table -->
<fo:block id="{concat('table_if_start_',@id)}" keep-with-next="always" font-size="1pt">Start table '<xsl:value-of select="@id"/>'.</fo:block>
</xsl:if>
<fo:table id="{@id}">
<xsl:if test="$isGenerateTableIF = 'true'">
<xsl:attribute name="wrap-option">no-wrap</xsl:attribute>
</xsl:if>
<xsl:for-each select="xalan:nodeset($table_attributes)/table_attributes/@*">
<xsl:attribute name="{local-name()}">
<xsl:value-of select="."/>
</xsl:attribute>
</xsl:for-each>
<xsl:variable name="isNoteOrFnExist" select="./*[local-name()='note'][not(@type = 'units')] or ./*[local-name()='example'] or .//*[local-name()='fn'][local-name(..) != 'name'] or ./*[local-name()='source']"/>
<xsl:if test="$isNoteOrFnExist = 'true'">
<xsl:attribute name="border-bottom">0pt solid black</xsl:attribute><!-- set 0pt border, because there is a separete table below for footer -->
</xsl:if>
<xsl:choose>
<xsl:when test="$isGenerateTableIF = 'true'">
<!-- generate IF for table widths -->
<!-- example:
<tr>
<td valign="top" align="left" id="tab-symdu_1_1">
<p>Symbol</p>
<word id="tab-symdu_1_1_word_1">Symbol</word>
</td>
<td valign="top" align="left" id="tab-symdu_1_2">
<p>Description</p>
<word id="tab-symdu_1_2_word_1">Description</word>
</td>
</tr>
-->
<!-- Simple_table=<xsl:copy-of select="$simple-table"/> -->
<xsl:apply-templates select="xalan:nodeset($simple-table)" mode="process_table-if"/>
</xsl:when>
<xsl:otherwise>
<xsl:choose>
<xsl:when test="*[local-name()='colgroup']/*[local-name()='col']">
<xsl:for-each select="*[local-name()='colgroup']/*[local-name()='col']">
<fo:table-column column-width="{@width}"/>
</xsl:for-each>
</xsl:when>
<xsl:when test="@class = 'dl'">
<xsl:for-each select=".//*[local-name()='tr'][1]/*">
<fo:table-column column-width="{@width}"/>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="insertTableColumnWidth">
<xsl:with-param name="colwidths" select="$colwidths"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
<xsl:choose>
<xsl:when test="not(*[local-name()='tbody']) and *[local-name()='thead']">
<xsl:apply-templates select="*[local-name()='thead']" mode="process_tbody"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="node()[not(local-name() = 'name') and not(local-name() = 'note') and not(local-name() = 'example') and not(local-name() = 'dl') and not(local-name() = 'source') and not(local-name() = 'p') and not(local-name() = 'thead') and not(local-name() = 'tfoot')]"/> <!-- process all table' elements, except name, header, footer, note, source and dl which render separaterely -->
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</fo:table>
<xsl:variable name="colgroup" select="*[local-name()='colgroup']"/>
<xsl:for-each select="*[local-name()='tbody']"><!-- select context to tbody -->
<xsl:call-template name="insertTableFooterInSeparateTable">
<xsl:with-param name="table_attributes" select="$table_attributes"/>
<xsl:with-param name="colwidths" select="$colwidths"/>
<xsl:with-param name="colgroup" select="$colgroup"/>
</xsl:call-template>
</xsl:for-each>
<xsl:if test="*[local-name()='bookmark']"> <!-- special case: table/bookmark -->
<fo:block keep-with-previous="always" line-height="0.1">
<xsl:for-each select="*[local-name()='bookmark']">
<xsl:call-template name="bookmark"/>
</xsl:for-each>
</fo:block>
</xsl:if>
</fo:block-container>
</xsl:variable>
<xsl:variable name="isAdded" select="@added"/>
<xsl:variable name="isDeleted" select="@deleted"/>
<xsl:choose>
<xsl:when test="@width and @width != 'full-page-width' and @width != 'text-width'">
<!-- centered table when table name is centered (see table-name-style) -->
<fo:table table-layout="fixed" width="100%" xsl:use-attribute-sets="table-container-style">
<fo:table-column column-width="proportional-column-width(1)"/>
<fo:table-column column-width="{@width}"/>
<fo:table-column column-width="proportional-column-width(1)"/>
<fo:table-body>
<fo:table-row>
<fo:table-cell column-number="2">
<xsl:copy-of select="$table-preamble"/>
<fo:block role="SKIP">
<xsl:call-template name="setTrackChangesStyles">
<xsl:with-param name="isAdded" select="$isAdded"/>
<xsl:with-param name="isDeleted" select="$isDeleted"/>
</xsl:call-template>
<xsl:copy-of select="$table"/>
</fo:block>
</fo:table-cell>
</fo:table-row>
</fo:table-body>
</fo:table>
</xsl:when>
<xsl:otherwise>
<xsl:choose>
<xsl:when test="$isAdded = 'true' or $isDeleted = 'true'">
<xsl:copy-of select="$table-preamble"/>
<fo:block>
<xsl:call-template name="setTrackChangesStyles">
<xsl:with-param name="isAdded" select="$isAdded"/>
<xsl:with-param name="isDeleted" select="$isDeleted"/>
</xsl:call-template>
<xsl:copy-of select="$table"/>
</fo:block>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="$table-preamble"/>
<xsl:copy-of select="$table"/>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setBordersTableArray">
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='table']/*[local-name() = 'name']">
<xsl:param name="continued"/>
<xsl:if test="normalize-space() != ''">
<fo:block xsl:use-attribute-sets="table-name-style" role="SKIP">
<xsl:call-template name="refine_table-name-style">
<xsl:with-param name="continued" select="$continued"/>
</xsl:call-template>
<xsl:choose>
<xsl:when test="$continued = 'true'">
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</fo:block>
<!-- <xsl:if test="$namespace = 'bsi' or $namespace = 'iec' or $namespace = 'iso'"> -->
<xsl:if test="$continued = 'true'">
<fo:block text-align="right">
<xsl:apply-templates select="../*[local-name() = 'note'][@type = 'units']/node()"/>
</fo:block>
</xsl:if>
<!-- </xsl:if> -->
</xsl:if>
</xsl:template> <!-- table/name -->
<!-- workaround solution for https://github.com/metanorma/metanorma-iso/issues/1151#issuecomment-2033087938 -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='table']/*[local-name() = 'note'][@type = 'units']/*[local-name() = 'p']/text()" priority="4">
<xsl:choose>
<xsl:when test="preceding-sibling::*[local-name() = 'br']">
<!-- remove CR or LF at start -->
<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.),'^( | | )', '')"/>
</xsl:when>
<xsl:otherwise><xsl:value-of select="."/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- SOURCE: ... -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='table']/*[local-name() = 'source']" priority="2">
<xsl:call-template name="termsource"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="calculate-columns-numbers">
<xsl:param name="table-row"/>
<xsl:variable name="columns-count" select="count($table-row/*)"/>
<xsl:variable name="sum-colspans" select="sum($table-row/*/@colspan)"/>
<xsl:variable name="columns-with-colspan" select="count($table-row/*[@colspan])"/>
<xsl:value-of select="$columns-count + $sum-colspans - $columns-with-colspan"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="calculate-column-widths">
<xsl:param name="table"/>
<xsl:param name="cols-count"/>
<xsl:choose>
<xsl:when test="$isApplyAutolayoutAlgorithm = 'true'">
<xsl:call-template name="get-calculated-column-widths-autolayout-algorithm"/>
</xsl:when>
<xsl:when test="$isApplyAutolayoutAlgorithm = 'skip'"/>
<xsl:otherwise>
<xsl:call-template name="calculate-column-widths-proportional">
<xsl:with-param name="cols-count" select="$cols-count"/>
<xsl:with-param name="table" select="$table"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ================================================== -->
<!-- Calculate column's width based on text string max widths -->
<!-- ================================================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="calculate-column-widths-proportional">
<xsl:param name="table"/>
<xsl:param name="cols-count"/>
<xsl:param name="curr-col" select="1"/>
<xsl:param name="width" select="0"/>
<!-- table=<xsl:copy-of select="$table"/> -->
<xsl:if test="$curr-col <= $cols-count">
<xsl:variable name="widths">
<xsl:choose>
<xsl:when test="not($table)"><!-- this branch is not using in production, for debug only -->
<xsl:for-each select="*[local-name()='thead']//*[local-name()='tr']">
<xsl:variable name="words">
<xsl:call-template name="tokenize">
<xsl:with-param name="text" select="translate(*[local-name()='th'][$curr-col],'- —:', ' ')"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="max_length">
<xsl:call-template name="max_length">
<xsl:with-param name="words" select="xalan:nodeset($words)"/>
</xsl:call-template>
</xsl:variable>
<width>
<xsl:value-of select="$max_length"/>
</width>
</xsl:for-each>
<xsl:for-each select="*[local-name()='tbody']//*[local-name()='tr']">
<xsl:variable name="words">
<xsl:call-template name="tokenize">
<xsl:with-param name="text" select="translate(*[local-name()='td'][$curr-col],'- —:', ' ')"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="max_length">
<xsl:call-template name="max_length">
<xsl:with-param name="words" select="xalan:nodeset($words)"/>
</xsl:call-template>
</xsl:variable>
<width>
<xsl:value-of select="$max_length"/>
</width>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<!-- <curr_col><xsl:value-of select="$curr-col"/></curr_col> -->
<!-- <table><xsl:copy-of select="$table"/></table>
-->
<xsl:for-each select="xalan:nodeset($table)/*/*[local-name()='tr']">
<xsl:variable name="td_text">
<xsl:apply-templates select="td[$curr-col]" mode="td_text"/>
</xsl:variable>
<!-- <td_text><xsl:value-of select="$td_text"/></td_text> -->
<xsl:variable name="words">
<xsl:variable name="string_with_added_zerospaces">
<xsl:call-template name="add-zero-spaces-java">
<xsl:with-param name="text" select="$td_text"/>
</xsl:call-template>
</xsl:variable>
<!-- <xsl:message>string_with_added_zerospaces=<xsl:value-of select="$string_with_added_zerospaces"/></xsl:message> -->
<xsl:call-template name="tokenize">
<!-- <xsl:with-param name="text" select="translate(td[$curr-col],'- —:', ' ')"/> -->
<!-- 2009 thinspace -->
<!-- <xsl:with-param name="text" select="translate(normalize-space($td_text),'- —:', ' ')"/> -->
<xsl:with-param name="text" select="normalize-space(translate($string_with_added_zerospaces, '', ' '))"/> <!-- replace zero-width-space and soft-hyphen to space -->
</xsl:call-template>
</xsl:variable>
<!-- words=<xsl:copy-of select="$words"/> -->
<xsl:variable name="max_length">
<xsl:call-template name="max_length">
<xsl:with-param name="words" select="xalan:nodeset($words)"/>
</xsl:call-template>
</xsl:variable>
<!-- <xsl:message>max_length=<xsl:value-of select="$max_length"/></xsl:message> -->
<width>
<xsl:variable name="divider">
<xsl:choose>
<xsl:when test="td[$curr-col]/@divide">
<xsl:value-of select="td[$curr-col]/@divide"/>
</xsl:when>
<xsl:otherwise>1</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:value-of select="$max_length div $divider"/>
</width>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- widths=<xsl:copy-of select="$widths"/> -->
<column>
<xsl:for-each select="xalan:nodeset($widths)//width">
<xsl:sort select="." data-type="number" order="descending"/>
<xsl:if test="position()=1">
<xsl:value-of select="."/>
</xsl:if>
</xsl:for-each>
</column>
<xsl:call-template name="calculate-column-widths-proportional">
<xsl:with-param name="cols-count" select="$cols-count"/>
<xsl:with-param name="curr-col" select="$curr-col +1"/>
<xsl:with-param name="table" select="$table"/>
</xsl:call-template>
</xsl:if>
</xsl:template> <!-- calculate-column-widths-proportional -->
<!-- ================================= -->
<!-- mode="td_text" -->
<!-- ================================= -->
<!-- replace each each char to 'X', just to process the tag 'keep-together_within-line' as whole word in longest word calculation -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[@keep-together.within-line or local-name() = 'keep-together_within-line']/text()" priority="2" mode="td_text">
<!-- <xsl:message>DEBUG t1=<xsl:value-of select="."/></xsl:message>
<xsl:message>DEBUG t2=<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.),'.','X')"/></xsl:message> -->
<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.),'.','X')"/>
<!-- if all capitals english letters or digits -->
<xsl:if test="normalize-space(translate(., concat($upper,'0123456789'), '')) = ''">
<xsl:call-template name="repeat">
<xsl:with-param name="char" select="'X'"/>
<xsl:with-param name="count" select="string-length(normalize-space(.)) * 0.5"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()" mode="td_text">
<xsl:value-of select="translate(., $zero_width_space, ' ')"/><xsl:text> </xsl:text>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='termsource']" mode="td_text">
<xsl:value-of select="*[local-name()='origin']/@citeas"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='link']" mode="td_text">
<xsl:value-of select="@target"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='math']" mode="td_text" name="math_length">
<xsl:if test="$isGenerateTableIF = 'false'">
<xsl:variable name="mathml_">
<xsl:for-each select="*">
<xsl:if test="local-name() != 'unit' and local-name() != 'prefix' and local-name() != 'dimension' and local-name() != 'quantity'">
<xsl:copy-of select="."/>
</xsl:if>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="mathml" select="xalan:nodeset($mathml_)"/>
<xsl:variable name="math_text">
<xsl:value-of select="normalize-space($mathml)"/>
<xsl:for-each select="$mathml//@open"><xsl:value-of select="."/></xsl:for-each>
<xsl:for-each select="$mathml//@close"><xsl:value-of select="."/></xsl:for-each>
</xsl:variable>
<xsl:value-of select="translate($math_text, ' ', '#')"/><!-- mathml images as one 'word' without spaces -->
</xsl:if>
</xsl:template>
<!-- ================================= -->
<!-- END mode="td_text" -->
<!-- ================================= -->
<!-- ================================================== -->
<!-- END Calculate column's width based on text string max widths -->
<!-- ================================================== -->
<!-- ================================================== -->
<!-- Calculate column's width based on HTML4 algorithm -->
<!-- (https://www.w3.org/TR/REC-html40/appendix/notes.html#h-B.5.2) -->
<!-- ================================================== -->
<!-- INPUT: table with columns widths, generated by table_if.xsl -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="calculate-column-widths-autolayout-algorithm">
<xsl:param name="parent_table_page-width"/> <!-- for nested tables, in re-calculate step -->
<!-- via intermediate format -->
<!-- The algorithm uses two passes through the table data and scales linearly with the size of the table -->
<!-- In the first pass, line wrapping is disabled, and the user agent keeps track of the minimum and maximum width of each cell. -->
<!-- Since line wrap has been disabled, paragraphs are treated as long lines unless broken by BR elements. -->
<xsl:variable name="page_width">
<xsl:choose>
<xsl:when test="$parent_table_page-width != ''">
<xsl:value-of select="$parent_table_page-width"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="@page-width"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:if test="$table_if_debug = 'true'">
<page_width><xsl:value-of select="$page_width"/></page_width>
</xsl:if>
<!-- There are three cases: -->
<xsl:choose>
<!-- 1. The minimum table width is equal to or wider than the available space -->
<xsl:when test="@width_min >= $page_width and 1 = 2"> <!-- this condition isn't working see case 3 below -->
<!-- call old algorithm -->
<case1/>
<!-- <xsl:variable name="cols-count" select="count(xalan:nodeset($table)/*/tr[1]/td)"/>
<xsl:call-template name="calculate-column-widths-proportional">
<xsl:with-param name="cols-count" select="$cols-count"/>
<xsl:with-param name="table" select="$table"/>
</xsl:call-template> -->
</xsl:when>
<!-- 2. The maximum table width fits within the available space. In this case, set the columns to their maximum widths. -->
<xsl:when test="@width_max <= $page_width">
<case2/>
<autolayout/>
<xsl:for-each select="column/@width_max">
<column divider="100"><xsl:value-of select="."/></column>
</xsl:for-each>
</xsl:when>
<!-- 3. The maximum width of the table is greater than the available space, but the minimum table width is smaller.
In this case, find the difference between the available space and the minimum table width, lets call it W.
Lets also call D the difference between maximum and minimum width of the table.
For each column, let d be the difference between maximum and minimum width of that column.
Now set the column's width to the minimum width plus d times W over D.
This makes columns with large differences between minimum and maximum widths wider than columns with smaller differences. -->
<xsl:when test="(@width_max > $page_width and @width_min < $page_width) or (@width_min >= $page_width)">
<!-- difference between the available space and the minimum table width -->
<_width_min><xsl:value-of select="@width_min"/></_width_min>
<xsl:variable name="W" select="$page_width - @width_min"/>
<W><xsl:value-of select="$W"/></W>
<!-- difference between maximum and minimum width of the table -->
<xsl:variable name="D" select="@width_max - @width_min"/>
<D><xsl:value-of select="$D"/></D>
<case3/>
<autolayout/>
<xsl:if test="@width_min >= $page_width">
<split_keep-within-line>true</split_keep-within-line>
</xsl:if>
<xsl:for-each select="column">
<!-- difference between maximum and minimum width of that column. -->
<xsl:variable name="d" select="@width_max - @width_min"/>
<d><xsl:value-of select="$d"/></d>
<width_min><xsl:value-of select="@width_min"/></width_min>
<e><xsl:value-of select="$d * $W div $D"/></e>
<!-- set the column's width to the minimum width plus d times W over D. -->
<xsl:variable name="column_width_" select="round(@width_min + $d * $W div $D)"/> <!-- * 10 -->
<xsl:variable name="column_width" select="$column_width_*($column_width_ >= 0) - $column_width_*($column_width_ < 0)"/> <!-- absolute value -->
<column divider="100">
<xsl:value-of select="$column_width"/>
</column>
</xsl:for-each>
</xsl:when>
<xsl:otherwise><unknown_case/></xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- calculate-column-widths-autolayout-algorithm -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="get-calculated-column-widths-autolayout-algorithm">
<!-- if nested 'dl' or 'table' -->
<xsl:variable name="parent_table_id" select="normalize-space(ancestor::*[local-name() = 'table' or local-name() = 'dl'][1]/@id)"/>
<parent_table_id><xsl:value-of select="$parent_table_id"/></parent_table_id>
<parent_element><xsl:value-of select="local-name(..)"/></parent_element>
<ancestor_tree>
<xsl:for-each select="ancestor::*">
<ancestor><xsl:value-of select="local-name()"/></ancestor>
</xsl:for-each>
</ancestor_tree>
<xsl:variable name="parent_table_page-width_">
<xsl:if test="$parent_table_id != ''">
<!-- determine column number in the parent table -->
<xsl:variable name="parent_table_column_number">
<xsl:choose>
<!-- <xsl:when test="parent::*[local-name() = 'dd']">2</xsl:when> -->
<xsl:when test="(ancestor::*[local-name() = 'dd' or local-name() = 'table' or local-name() = 'dl'])[last()][local-name() = 'dd' or local-name() = 'dl']">2</xsl:when>
<xsl:otherwise> <!-- parent is table -->
<xsl:value-of select="count(ancestor::*[local-name() = 'td'][1]/preceding-sibling::*[local-name() = 'td']) + 1"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- find table by id in the file 'table_widths' and get all Nth `<column>...</column> -->
<xsl:variable name="parent_table_column_" select="$table_widths_from_if_calculated//table[@id = $parent_table_id]/column[number($parent_table_column_number)]"/>
<xsl:variable name="parent_table_column" select="xalan:nodeset($parent_table_column_)"/>
<!-- <xsl:variable name="divider">
<xsl:value-of select="$parent_table_column/@divider"/>
<xsl:if test="not($parent_table_column/@divider)">1</xsl:if>
</xsl:variable> -->
<xsl:value-of select="$parent_table_column/text()"/> <!-- * 10 -->
</xsl:if>
</xsl:variable>
<xsl:variable name="parent_table_page-width" select="normalize-space($parent_table_page-width_)"/>
<parent_table_page-width><xsl:value-of select="$parent_table_page-width"/></parent_table_page-width>
<!-- get current table id -->
<xsl:variable name="table_id" select="@id"/>
<xsl:choose>
<xsl:when test="$parent_table_id = '' or $parent_table_page-width = ''">
<!-- find table by id in the file 'table_widths' and get all `<column>...</column> -->
<xsl:copy-of select="$table_widths_from_if_calculated//table[@id = $table_id]/node()"/>
</xsl:when>
<xsl:otherwise>
<!-- recalculate columns width based on parent table width -->
<xsl:for-each select="$table_widths_from_if//table[@id = $table_id]">
<xsl:call-template name="calculate-column-widths-autolayout-algorithm">
<xsl:with-param name="parent_table_page-width" select="$parent_table_page-width"/> <!-- padding-left = 2mm = 50000-->
</xsl:call-template>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- get-calculated-column-widths-autolayout-algorithm -->
<!-- ================================================== -->
<!-- Calculate column's width based on HTML4 algorithm -->
<!-- ================================================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='thead']">
<xsl:param name="cols-count"/>
<fo:table-header>
<xsl:apply-templates/>
</fo:table-header>
</xsl:template> <!-- thead -->
<!-- template is using for iec, iso, jcgm, bsi only -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table-header-title">
<xsl:param name="cols-count"/>
<!-- row for title -->
<fo:table-row role="SKIP">
<fo:table-cell number-columns-spanned="{$cols-count}" border-left="1.5pt solid white" border-right="1.5pt solid white" border-top="1.5pt solid white" border-bottom="1.5pt solid black" role="SKIP">
<xsl:call-template name="refine_table-header-title-style"/>
<xsl:apply-templates select="ancestor::*[local-name()='table']/*[local-name()='name']">
<xsl:with-param name="continued">true</xsl:with-param>
</xsl:apply-templates>
<xsl:if test="not(ancestor::*[local-name()='table']/*[local-name()='name'])"> <!-- to prevent empty fo:table-cell in case of missing table's name -->
<fo:block role="SKIP"/>
</xsl:if>
</fo:table-cell>
</fo:table-row>
</xsl:template> <!-- table-header-title -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_table-header-title-style">
</xsl:template> <!-- refine_table-header-title-style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='thead']" mode="process_tbody">
<fo:table-body>
<xsl:apply-templates/>
</fo:table-body>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tfoot']">
<xsl:apply-templates/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertTableFooter">
<xsl:param name="cols-count"/>
<xsl:if test="../*[local-name()='tfoot']">
<fo:table-footer>
<xsl:apply-templates select="../*[local-name()='tfoot']"/>
</fo:table-footer>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertTableFooterInSeparateTable">
<xsl:param name="table_attributes"/>
<xsl:param name="colwidths"/>
<xsl:param name="colgroup"/>
<xsl:variable name="isNoteOrFnExist" select="../*[local-name()='note'][not(@type = 'units')] or ../*[local-name()='example'] or ../*[local-name()='dl'] or ..//*[local-name()='fn'][local-name(..) != 'name'] or ../*[local-name()='source'] or ../*[local-name()='p']"/>
<xsl:variable name="isNoteOrFnExistShowAfterTable">
</xsl:variable>
<xsl:if test="$isNoteOrFnExist = 'true' or normalize-space($isNoteOrFnExistShowAfterTable) = 'true'">
<xsl:variable name="cols-count">
<xsl:choose>
<xsl:when test="xalan:nodeset($colgroup)//*[local-name()='col']">
<xsl:value-of select="count(xalan:nodeset($colgroup)//*[local-name()='col'])"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="count(xalan:nodeset($colwidths)//column)"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="table_fn_block">
<xsl:call-template name="table_fn_display"/>
</xsl:variable>
<xsl:variable name="tableWithNotesAndFootnotes">
<fo:table keep-with-previous="always">
<xsl:for-each select="xalan:nodeset($table_attributes)/table_attributes/@*">
<xsl:variable name="name" select="local-name()"/>
<xsl:choose>
<xsl:when test="$name = 'border-top'">
<xsl:attribute name="{$name}">0pt solid black</xsl:attribute>
</xsl:when>
<xsl:when test="$name = 'border'">
<xsl:attribute name="{$name}"><xsl:value-of select="."/></xsl:attribute>
<xsl:attribute name="border-top">0pt solid black</xsl:attribute>
</xsl:when>
<xsl:otherwise>
<xsl:attribute name="{$name}"><xsl:value-of select="."/></xsl:attribute>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
<xsl:choose>
<xsl:when test="xalan:nodeset($colgroup)//*[local-name()='col']">
<xsl:for-each select="xalan:nodeset($colgroup)//*[local-name()='col']">
<fo:table-column column-width="{@width}"/>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<!-- $colwidths=<xsl:copy-of select="$colwidths"/> -->
<xsl:call-template name="insertTableColumnWidth">
<xsl:with-param name="colwidths" select="$colwidths"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
<fo:table-body>
<fo:table-row>
<fo:table-cell xsl:use-attribute-sets="table-footer-cell-style" number-columns-spanned="{$cols-count}">
<xsl:call-template name="refine_table-footer-cell-style"/>
<xsl:call-template name="setBordersTableArray"/>
<!-- fn will be processed inside 'note' processing -->
<!-- for BSI (not PAS) display Notes before footnotes -->
<!-- except gb and bsi -->
<xsl:apply-templates select="../*[local-name()='p']"/>
<xsl:apply-templates select="../*[local-name()='dl']"/>
<xsl:apply-templates select="../*[local-name()='note'][not(@type = 'units')]"/>
<xsl:apply-templates select="../*[local-name()='example']"/>
<xsl:apply-templates select="../*[local-name()='source']"/>
<xsl:variable name="isDisplayRowSeparator">
</xsl:variable>
<!-- horizontal row separator -->
<xsl:if test="normalize-space($isDisplayRowSeparator) = 'true'">
<xsl:if test="(../*[local-name()='note'][not(@type = 'units')] or ../*[local-name()='example']) and normalize-space($table_fn_block) != ''">
<fo:block-container border-top="0.5pt solid black" padding-left="1mm" padding-right="1mm">
<xsl:call-template name="setBordersTableArray"/>
<fo:block font-size="1pt"> </fo:block>
</fo:block-container>
</xsl:if>
</xsl:if>
<!-- fn processing -->
<!-- <xsl:call-template name="table_fn_display" /> -->
<xsl:copy-of select="$table_fn_block"/>
<!-- for PAS display Notes after footnotes -->
</fo:table-cell>
</fo:table-row>
</fo:table-body>
</fo:table>
</xsl:variable>
<xsl:if test="normalize-space($tableWithNotesAndFootnotes) != ''">
<xsl:copy-of select="$tableWithNotesAndFootnotes"/>
</xsl:if>
</xsl:if>
</xsl:template> <!-- insertTableFooterInSeparateTable -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tbody']">
<xsl:variable name="cols-count">
<xsl:choose>
<xsl:when test="../*[local-name()='thead']">
<xsl:call-template name="calculate-columns-numbers">
<xsl:with-param name="table-row" select="../*[local-name()='thead']/*[local-name()='tr'][1]"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="calculate-columns-numbers">
<xsl:with-param name="table-row" select="./*[local-name()='tr'][1]"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:apply-templates select="../*[local-name()='thead']">
<xsl:with-param name="cols-count" select="$cols-count"/>
</xsl:apply-templates>
<xsl:call-template name="insertTableFooter">
<xsl:with-param name="cols-count" select="$cols-count"/>
</xsl:call-template>
<fo:table-body>
<xsl:apply-templates/>
</fo:table-body>
</xsl:template> <!-- tbody -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="/" mode="process_table-if">
<xsl:param name="table_or_dl">table</xsl:param>
<xsl:apply-templates mode="process_table-if">
<xsl:with-param name="table_or_dl" select="$table_or_dl"/>
</xsl:apply-templates>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tbody']" mode="process_table-if">
<xsl:param name="table_or_dl">table</xsl:param>
<fo:table-body>
<xsl:for-each select="*[local-name() = 'tr']">
<xsl:variable name="col_count" select="count(*)"/>
<!-- iteration for each tr/td -->
<xsl:choose>
<xsl:when test="$table_or_dl = 'table'">
<xsl:for-each select="*[local-name() = 'td' or local-name() = 'th']/*">
<fo:table-row number-columns-spanned="{$col_count}">
<xsl:copy-of select="../@font-weight"/>
<!-- <test_table><xsl:copy-of select="."/></test_table> -->
<xsl:call-template name="td"/>
</fo:table-row>
</xsl:for-each>
</xsl:when>
<xsl:otherwise> <!-- $table_or_dl = 'dl' -->
<xsl:for-each select="*[local-name() = 'td' or local-name() = 'th']">
<xsl:variable name="is_dt" select="position() = 1"/>
<xsl:for-each select="*">
<!-- <test><xsl:copy-of select="."/></test> -->
<fo:table-row number-columns-spanned="{$col_count}">
<xsl:choose>
<xsl:when test="$is_dt">
<xsl:call-template name="insert_dt_cell"/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="insert_dd_cell"/>
</xsl:otherwise>
</xsl:choose>
</fo:table-row>
</xsl:for-each>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</fo:table-body>
</xsl:template> <!-- process_table-if -->
<!-- ===================== -->
<!-- Table's row processing -->
<!-- ===================== -->
<!-- row in table header (thead) thead/tr -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='thead']/*[local-name()='tr']" priority="2">
<fo:table-row xsl:use-attribute-sets="table-header-row-style">
<xsl:call-template name="refine_table-header-row-style"/>
<xsl:call-template name="setTableRowAttributes"/>
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setBorderUnderRow">
<xsl:variable name="border_under_row_" select="normalize-space(ancestor::*[local-name() = 'table'][1]/@border-under-row)"/>
<xsl:choose>
<xsl:when test="$border_under_row_ != ''">
<xsl:variable name="table_id" select="ancestor::*[local-name() = 'table'][1]/@id"/>
<xsl:variable name="row_num_"><xsl:number level="any" count="*[local-name() = 'table'][@id = $table_id]//*[local-name() = 'tr']"/></xsl:variable>
<xsl:variable name="row_num" select="number($row_num_) - 1"/> <!-- because values in border-under-row start with 0 -->
<xsl:variable name="border_under_row">
<xsl:call-template name="split">
<xsl:with-param name="pText" select="$border_under_row_"/>
</xsl:call-template>
</xsl:variable>
<xsl:if test="xalan:nodeset($border_under_row)/item[. = normalize-space($row_num)]">
<xsl:attribute name="border-bottom"><xsl:value-of select="$table-border"/></xsl:attribute>
</xsl:if>
</xsl:when>
<xsl:otherwise>
<xsl:attribute name="border-bottom"><xsl:value-of select="$table-border"/></xsl:attribute>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- row in table footer (tfoot), tfoot/tr -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tfoot']/*[local-name()='tr']" priority="2">
<fo:table-row xsl:use-attribute-sets="table-footer-row-style">
<xsl:call-template name="refine_table-footer-row-style"/>
<xsl:call-template name="setTableRowAttributes"/>
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<!-- row in table's body (tbody) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tr']">
<fo:table-row xsl:use-attribute-sets="table-body-row-style">
<xsl:if test="count(*) = count(*[local-name() = 'th'])"> <!-- row contains 'th' only -->
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:if>
<xsl:call-template name="refine_table-body-row-style"/>
<xsl:call-template name="setTableRowAttributes"/>
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setTableRowAttributes">
</xsl:template> <!-- setTableRowAttributes -->
<!-- ===================== -->
<!-- END Table's row processing -->
<!-- ===================== -->
<!-- cell in table header row -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th']">
<fo:table-cell xsl:use-attribute-sets="table-header-cell-style"> <!-- text-align="{@align}" -->
<xsl:call-template name="setTextAlignment">
<xsl:with-param name="default">center</xsl:with-param>
</xsl:call-template>
<xsl:call-template name="refine_table-header-cell-style"/>
<!-- experimental feature, see https://github.com/metanorma/metanorma-plateau/issues/30#issuecomment-2145461828 -->
<!-- <xsl:choose>
<xsl:when test="count(node()) = 1 and *[local-name() = 'span'][contains(@style, 'text-orientation')]">
<fo:block-container reference-orientation="270">
<fo:block role="SKIP" text-align="start">
<xsl:apply-templates />
</fo:block>
</fo:block-container>
</xsl:when>
<xsl:otherwise>
<fo:block role="SKIP">
<xsl:apply-templates />
</fo:block>
</xsl:otherwise>
</xsl:choose> -->
<fo:block role="SKIP">
<xsl:apply-templates/>
</fo:block>
</fo:table-cell>
</xsl:template> <!-- cell in table header row - 'th' -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setTableCellAttributes">
<xsl:if test="@colspan">
<xsl:attribute name="number-columns-spanned">
<xsl:value-of select="@colspan"/>
</xsl:attribute>
</xsl:if>
<xsl:if test="@rowspan">
<xsl:attribute name="number-rows-spanned">
<xsl:value-of select="@rowspan"/>
</xsl:attribute>
</xsl:if>
<xsl:call-template name="display-align"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="display-align">
<xsl:if test="@valign">
<xsl:attribute name="display-align">
<xsl:choose>
<xsl:when test="@valign = 'top'">before</xsl:when>
<xsl:when test="@valign = 'middle'">center</xsl:when>
<xsl:when test="@valign = 'bottom'">after</xsl:when>
<xsl:otherwise>before</xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:if>
</xsl:template>
<!-- cell in table body, footer -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='td']" name="td">
<fo:table-cell xsl:use-attribute-sets="table-cell-style"> <!-- text-align="{@align}" -->
<xsl:call-template name="setTextAlignment">
<xsl:with-param name="default">left</xsl:with-param>
</xsl:call-template>
<xsl:call-template name="refine_table-cell-style"/>
<xsl:if test=".//*[local-name() = 'table']"> <!-- if there is nested table -->
<xsl:attribute name="padding-right">1mm</xsl:attribute>
</xsl:if>
<xsl:call-template name="setTableCellAttributes"/>
<xsl:if test="$isGenerateTableIF = 'true'">
<xsl:attribute name="border">1pt solid black</xsl:attribute> <!-- border is mandatory, to determine page width -->
<xsl:attribute name="text-align">left</xsl:attribute>
</xsl:if>
<fo:block role="SKIP">
<xsl:if test="$isGenerateTableIF = 'true'">
<xsl:attribute name="id"><xsl:value-of select="@id"/></xsl:attribute>
</xsl:if>
<xsl:apply-templates/>
<xsl:if test="$isGenerateTableIF = 'true'"> <fo:inline id="{@id}_end">end</fo:inline></xsl:if> <!-- to determine width of text --> <!-- <xsl:value-of select="$hair_space"/> -->
</fo:block>
</fo:table-cell>
</xsl:template> <!-- td -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='table']/*[local-name()='note' or local-name() = 'example']" priority="2">
<fo:block xsl:use-attribute-sets="table-note-style">
<xsl:call-template name="refine_table-note-style"/>
<!-- Table's note/example name (NOTE, for example) -->
<fo:inline xsl:use-attribute-sets="table-note-name-style">
<xsl:call-template name="refine_table-note-name-style"/>
<xsl:apply-templates select="*[local-name() = 'name']"/>
</fo:inline>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</xsl:template> <!-- table/note -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='table']/*[local-name()='note' or local-name()='example']/*[local-name()='p']" priority="2">
<xsl:apply-templates/>
</xsl:template>
<!-- ===================== -->
<!-- Footnotes processing -->
<!-- ===================== -->
<!--
<fn reference="1">
<p id="_8e5cf917-f75a-4a49-b0aa-1714cb6cf954">Formerly denoted as 15 % (m/m).</p>
</fn>
-->
<!-- footnotes in text (title, bibliography, main body, table's, figure's names), not for tables, figures -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'fn'][not(ancestor::*[(local-name() = 'table' or local-name() = 'figure')] and not(ancestor::*[local-name() = 'name']))]" priority="2" name="fn">
<!-- list of footnotes to calculate actual footnotes number -->
<xsl:variable name="p_fn_">
<xsl:call-template name="get_fn_list"/>
<!-- <xsl:choose>
<xsl:when test="$namespace = 'jis'">
<xsl:call-template name="get_fn_list_for_element"/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="get_fn_list"/>
</xsl:otherwise>
</xsl:choose> -->
</xsl:variable>
<xsl:variable name="p_fn" select="xalan:nodeset($p_fn_)"/>
<xsl:variable name="gen_id" select="generate-id(.)"/>
<xsl:variable name="lang" select="ancestor::*[contains(local-name(), '-standard')]/*[local-name()='bibdata']//*[local-name()='language'][@current = 'true']"/>
<xsl:variable name="reference_">
<xsl:value-of select="@reference"/>
<xsl:if test="normalize-space(@reference) = ''"><xsl:value-of select="$gen_id"/></xsl:if>
</xsl:variable>
<xsl:variable name="reference" select="normalize-space($reference_)"/>
<!-- fn sequence number in document -->
<xsl:variable name="current_fn_number">
<xsl:choose>
<xsl:when test="@current_fn_number"><xsl:value-of select="@current_fn_number"/></xsl:when> <!-- for BSI -->
<xsl:otherwise>
<xsl:value-of select="count($p_fn//fn[@reference = $reference]/preceding-sibling::fn) + 1"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="current_fn_number_text">
<xsl:value-of select="$current_fn_number"/>
</xsl:variable>
<xsl:variable name="ref_id">
<xsl:choose>
<xsl:when test="normalize-space(@ref_id) != ''"><xsl:value-of select="@ref_id"/></xsl:when>
<xsl:otherwise>
<xsl:value-of select="concat('footnote_', $lang, '_', $reference, '_', $current_fn_number)"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="footnote_inline">
<fo:inline role="Reference">
<xsl:variable name="fn_styles">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'bibitem']">
<fn_styles xsl:use-attribute-sets="bibitem-note-fn-style"/>
</xsl:when>
<xsl:otherwise>
<fn_styles xsl:use-attribute-sets="fn-num-style"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($fn_styles)/fn_styles/@*">
<xsl:copy-of select="."/>
</xsl:for-each>
<xsl:if test="following-sibling::*[1][local-name() = 'fn']">
<xsl:attribute name="padding-right">0.5mm</xsl:attribute>
</xsl:if>
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link internal-destination="{$ref_id}" fox:alt-text="footnote {$current_fn_number}" role="Lbl">
<xsl:copy-of select="$current_fn_number_text"/>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</fo:inline>
</xsl:variable>
<xsl:choose>
<xsl:when test="normalize-space(@skip_footnote_body) = 'true'">
<xsl:copy-of select="$footnote_inline"/>
</xsl:when>
<xsl:when test="$p_fn//fn[@gen_id = $gen_id] or normalize-space(@skip_footnote_body) = 'false'">
<fo:footnote xsl:use-attribute-sets="fn-style" role="SKIP">
<xsl:copy-of select="$footnote_inline"/>
<fo:footnote-body role="Note">
<fo:block-container xsl:use-attribute-sets="fn-container-body-style" role="SKIP">
<fo:block xsl:use-attribute-sets="fn-body-style" role="SKIP">
<xsl:call-template name="refine_fn-body-style"/>
<fo:inline id="{$ref_id}" xsl:use-attribute-sets="fn-body-num-style" role="Lbl">
<xsl:call-template name="refine_fn-body-num-style"/>
<xsl:value-of select="$current_fn_number_text"/>
</fo:inline>
<xsl:apply-templates/>
</fo:block>
</fo:block-container>
</fo:footnote-body>
</fo:footnote>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="$footnote_inline"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- fn in text -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="get_fn_list">
<xsl:choose>
<xsl:when test="@current_fn_number"> <!-- for BSI, footnote reference number calculated already -->
<fn gen_id="{generate-id(.)}">
<xsl:copy-of select="@*"/>
<xsl:copy-of select="node()"/>
</fn>
</xsl:when>
<xsl:otherwise>
<!-- itetation for:
footnotes in bibdata/title
footnotes in bibliography
footnotes in document's body (except table's head/body/foot and figure text)
-->
<xsl:for-each select="ancestor::*[contains(local-name(), '-standard')]/*[local-name() = 'bibdata']/*[local-name() = 'note'][@type='title-footnote']">
<fn gen_id="{generate-id(.)}">
<xsl:copy-of select="@*"/>
<xsl:copy-of select="node()"/>
</fn>
</xsl:for-each>
<xsl:for-each select="ancestor::*[contains(local-name(), '-standard')]/*[local-name()='boilerplate']/* | ancestor::*[contains(local-name(), '-standard')]/*[local-name()='preface']/* | ancestor::*[contains(local-name(), '-standard')]/*[local-name()='sections']/* | ancestor::*[contains(local-name(), '-standard')]//*[local-name()='annex'] | ancestor::*[contains(local-name(), '-standard')]//*[local-name()='bibliography']/*">
<xsl:sort select="@displayorder" data-type="number"/>
<!-- commented:
.//*[local-name() = 'bibitem'][ancestor::*[local-name() = 'references']]/*[local-name() = 'note'] |
because 'fn' there is in biblio-tag -->
<xsl:for-each select=".//*[local-name() = 'fn'][not(ancestor::*[(local-name() = 'table' or local-name() = 'figure')] and not(ancestor::*[local-name() = 'name']))][generate-id(.)=generate-id(key('kfn',@reference)[1])]">
<!-- copy unique fn -->
<fn gen_id="{generate-id(.)}">
<xsl:copy-of select="@*"/>
<xsl:copy-of select="node()"/>
</fn>
</xsl:for-each>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="get_fn_list_for_element">
<xsl:choose>
<xsl:when test="@current_fn_number"> <!-- footnote reference number calculated already -->
<fn gen_id="{generate-id(.)}">
<xsl:copy-of select="@*"/>
<xsl:copy-of select="node()"/>
</fn>
</xsl:when>
<xsl:otherwise>
<xsl:for-each select="ancestor::*[local-name() = 'ul' or local-name() = 'ol'][1]">
<xsl:variable name="element_id" select="@id"/>
<xsl:for-each select=".//*[local-name() = 'fn'][generate-id(.)=generate-id(key('kfn',@reference)[1])]">
<!-- copy unique fn -->
<fn gen_id="{generate-id(.)}">
<xsl:copy-of select="@*"/>
<xsl:copy-of select="node()"/>
</fn>
</xsl:for-each>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ============================ -->
<!-- table's footnotes rendering -->
<!-- ============================ -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_fn_display">
<xsl:variable name="references">
<xsl:for-each select="..//*[local-name()='fn'][local-name(..) != 'name']">
<xsl:call-template name="create_fn"/>
</xsl:for-each>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($references)//fn">
<xsl:variable name="reference" select="@reference"/>
<xsl:if test="not(preceding-sibling::*[@reference = $reference])"> <!-- only unique reference puts in note-->
<fo:block xsl:use-attribute-sets="table-fn-style">
<xsl:call-template name="refine_table-fn-style"/>
<fo:inline id="{@id}" xsl:use-attribute-sets="table-fn-number-style">
<xsl:call-template name="refine_table-fn-number-style"/>
<xsl:value-of select="@reference"/>
</fo:inline>
<fo:inline xsl:use-attribute-sets="table-fn-body-style">
<xsl:copy-of select="./node()"/>
</fo:inline>
</fo:block>
</xsl:if>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="create_fn">
<fn reference="{@reference}" id="{@reference}_{ancestor::*[@id][1]/@id}">
<xsl:apply-templates/>
</fn>
</xsl:template>
<!-- footnotes for table's name rendering -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="table_name_fn_display">
<xsl:for-each select="*[local-name()='name']//*[local-name()='fn']">
<xsl:variable name="reference" select="@reference"/>
<fo:block id="{@reference}_{ancestor::*[@id][1]/@id}"><xsl:value-of select="@reference"/></fo:block>
<fo:block margin-bottom="12pt">
<xsl:apply-templates/>
</fo:block>
</xsl:for-each>
</xsl:template>
<!-- ============================ -->
<!-- EMD table's footnotes rendering -->
<!-- ============================ -->
<!-- figure's footnotes rendering -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="fn_display_figure">
<!-- current figure id -->
<xsl:variable name="figure_id_">
<xsl:value-of select="@id"/>
<xsl:if test="not(@id)"><xsl:value-of select="generate-id()"/></xsl:if>
</xsl:variable>
<xsl:variable name="figure_id" select="normalize-space($figure_id_)"/>
<!-- all footnotes relates to the current figure -->
<xsl:variable name="references">
<xsl:for-each select=".//*[local-name()='fn'][not(parent::*[local-name()='name'])][ancestor::*[local-name() = 'figure'][1][@id = $figure_id]]">
<fn reference="{@reference}" id="{@reference}_{ancestor::*[@id][1]/@id}">
<xsl:apply-templates/>
</fn>
</xsl:for-each>
</xsl:variable>
<xsl:if test="xalan:nodeset($references)//fn">
<xsl:variable name="key_iso">
</xsl:variable>
<fo:block>
<!-- current hierarchy is 'figure' element -->
<xsl:variable name="following_dl_colwidths">
<xsl:if test="*[local-name() = 'dl']"><!-- if there is a 'dl', then set the same columns width as for 'dl' -->
<xsl:variable name="simple-table">
<!-- <xsl:variable name="doc_ns">
<xsl:if test="$namespace = 'bipm'">bipm</xsl:if>
</xsl:variable>
<xsl:variable name="ns">
<xsl:choose>
<xsl:when test="normalize-space($doc_ns) != ''">
<xsl:value-of select="normalize-space($doc_ns)"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="substring-before(name(/*), '-')"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable> -->
<xsl:for-each select="*[local-name() = 'dl'][1]">
<tbody>
<xsl:apply-templates mode="dl"/>
</tbody>
</xsl:for-each>
</xsl:variable>
<xsl:call-template name="calculate-column-widths">
<xsl:with-param name="cols-count" select="2"/>
<xsl:with-param name="table" select="$simple-table"/>
</xsl:call-template>
</xsl:if>
</xsl:variable>
<xsl:variable name="maxlength_dt">
<xsl:for-each select="*[local-name() = 'dl'][1]">
<xsl:call-template name="getMaxLength_dt"/>
</xsl:for-each>
</xsl:variable>
<fo:table width="95%" table-layout="fixed">
<xsl:if test="normalize-space($key_iso) = 'true'">
<xsl:attribute name="font-size">10pt</xsl:attribute>
</xsl:if>
<xsl:choose>
<!-- if there 'dl', then set same columns width -->
<xsl:when test="xalan:nodeset($following_dl_colwidths)//column">
<xsl:call-template name="setColumnWidth_dl">
<xsl:with-param name="colwidths" select="$following_dl_colwidths"/>
<xsl:with-param name="maxlength_dt" select="$maxlength_dt"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<fo:table-column column-width="5%"/>
<fo:table-column column-width="95%"/>
</xsl:otherwise>
</xsl:choose>
<fo:table-body>
<xsl:for-each select="xalan:nodeset($references)//fn">
<xsl:variable name="reference" select="@reference"/>
<xsl:if test="not(preceding-sibling::*[@reference = $reference])"> <!-- only unique reference puts in note-->
<fo:table-row>
<fo:table-cell>
<fo:block>
<fo:inline id="{@id}" xsl:use-attribute-sets="figure-fn-number-style">
<xsl:value-of select="@reference"/>
</fo:inline>
</fo:block>
</fo:table-cell>
<fo:table-cell>
<fo:block xsl:use-attribute-sets="figure-fn-body-style">
<xsl:if test="normalize-space($key_iso) = 'true'">
<xsl:attribute name="margin-bottom">0</xsl:attribute>
</xsl:if>
<xsl:copy-of select="./node()"/>
</fo:block>
</fo:table-cell>
</fo:table-row>
</xsl:if>
</xsl:for-each>
</fo:table-body>
</fo:table>
</fo:block>
</xsl:if>
</xsl:template> <!-- fn_display_figure -->
<!-- fn reference in the text rendering (for instance, 'some text 1) some text' ) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='fn']">
<fo:inline xsl:use-attribute-sets="fn-reference-style">
<xsl:call-template name="refine_fn-reference-style"/>
<fo:basic-link internal-destination="{@reference}_{ancestor::*[@id][1]/@id}" fox:alt-text="{@reference}"> <!-- @reference | ancestor::*[local-name()='clause'][1]/@id-->
<xsl:value-of select="@reference"/>
</fo:basic-link>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='fn']/text()[normalize-space() != '']">
<fo:inline role="SKIP"><xsl:value-of select="."/></fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='fn']//*[local-name()='p']">
<fo:inline role="P">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<!-- ===================== -->
<!-- END Footnotes processing -->
<!-- ===================== -->
<!-- ===================== -->
<!-- Definition List -->
<!-- ===================== -->
<!-- for table auto-layout algorithm -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dl']" priority="2">
<xsl:choose>
<xsl:when test="$table_only_with_id != '' and @id = $table_only_with_id">
<xsl:call-template name="dl"/>
</xsl:when>
<xsl:when test="$table_only_with_id != ''"><fo:block/><!-- to prevent empty fo:block-container --></xsl:when>
<xsl:when test="$table_only_with_ids != '' and contains($table_only_with_ids, concat(@id, ' '))">
<xsl:call-template name="dl"/>
</xsl:when>
<xsl:when test="$table_only_with_ids != ''"><fo:block/><!-- to prevent empty fo:block-container --></xsl:when>
<xsl:otherwise>
<xsl:call-template name="dl"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dl']" name="dl">
<xsl:variable name="isAdded" select="@added"/>
<xsl:variable name="isDeleted" select="@deleted"/>
<!-- <dl><xsl:copy-of select="."/></dl> -->
<fo:block-container xsl:use-attribute-sets="dl-block-style" role="SKIP">
<xsl:call-template name="setBlockSpanAll"/>
<xsl:if test="not(ancestor::*[local-name() = 'quote'])">
<xsl:attribute name="margin-left">0mm</xsl:attribute>
</xsl:if>
<xsl:if test="ancestor::*[local-name() = 'sourcecode']">
<!-- set font-size as sourcecode font-size -->
<xsl:variable name="sourcecode_attributes">
<xsl:call-template name="get_sourcecode_attributes"/>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($sourcecode_attributes)/sourcecode_attributes/@font-size">
<xsl:attribute name="{local-name()}">
<xsl:value-of select="."/>
</xsl:attribute>
</xsl:for-each>
</xsl:if>
<xsl:if test="parent::*[local-name() = 'note']">
<xsl:attribute name="margin-left">
<xsl:choose>
<xsl:when test="not(ancestor::*[local-name() = 'table'])"><xsl:value-of select="$note-body-indent"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$note-body-indent-table"/></xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:if>
<xsl:call-template name="setTrackChangesStyles">
<xsl:with-param name="isAdded" select="$isAdded"/>
<xsl:with-param name="isDeleted" select="$isDeleted"/>
</xsl:call-template>
<fo:block-container margin-left="0mm" role="SKIP">
<xsl:attribute name="margin-right">0mm</xsl:attribute>
<xsl:variable name="parent" select="local-name(..)"/>
<xsl:variable name="key_iso">
<!-- and (not(../@class) or ../@class !='pseudocode') -->
</xsl:variable>
<xsl:variable name="onlyOneComponent" select="normalize-space($parent = 'formula' and count(*[local-name()='dt']) = 1)"/>
<xsl:choose>
<xsl:when test="$onlyOneComponent = 'true'"> <!-- only one component -->
<fo:block margin-bottom="12pt" text-align="left">
<!-- <xsl:variable name="title-where">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">where</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:value-of select="$title-where"/> -->
<xsl:apply-templates select="preceding-sibling::*[1][local-name() = 'p' and @keep-with-next = 'true']/node()"/>
<xsl:text> </xsl:text>
<xsl:apply-templates select="*[local-name()='dt']/*"/>
<xsl:if test="*[local-name()='dd']/node()[normalize-space() != ''][1][self::text()]">
<xsl:text> </xsl:text>
</xsl:if>
<xsl:apply-templates select="*[local-name()='dd']/node()" mode="inline"/>
</fo:block>
</xsl:when> <!-- END: only one component -->
<xsl:when test="$parent = 'formula'"> <!-- a few components -->
<fo:block margin-bottom="12pt" text-align="left">
<xsl:call-template name="refine_dl_formula_where_style"/>
<!-- <xsl:variable name="title-where">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">where</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:value-of select="$title-where"/><xsl:if test="$namespace = 'bsi' or $namespace = 'itu'">:</xsl:if> -->
<!-- preceding 'p' with word 'where' -->
<xsl:apply-templates select="preceding-sibling::*[1][local-name() = 'p' and @keep-with-next = 'true']/node()"/>
</fo:block>
</xsl:when> <!-- END: a few components -->
<xsl:when test="$parent = 'figure' and (not(../@class) or ../@class !='pseudocode')"> <!-- definition list in a figure -->
<fo:block font-weight="bold" text-align="left" margin-bottom="12pt" keep-with-next="always">
<xsl:call-template name="refine_figure_key_style"/>
<xsl:variable name="title-key">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">key</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:value-of select="$title-key"/>
</fo:block>
</xsl:when> <!-- END: definition list in a figure -->
</xsl:choose>
<!-- a few components -->
<xsl:if test="$onlyOneComponent = 'false'">
<fo:block role="SKIP">
<xsl:call-template name="refine_multicomponent_style"/>
<xsl:if test="ancestor::*[local-name() = 'dd' or local-name() = 'td']">
<xsl:attribute name="margin-top">0</xsl:attribute>
</xsl:if>
<fo:block role="SKIP">
<xsl:call-template name="refine_multicomponent_block_style"/>
<xsl:apply-templates select="*[local-name() = 'name']">
<xsl:with-param name="process">true</xsl:with-param>
</xsl:apply-templates>
<xsl:if test="$isGenerateTableIF = 'true'">
<!-- to determine start of table -->
<fo:block id="{concat('table_if_start_',@id)}" keep-with-next="always" font-size="1pt">Start table '<xsl:value-of select="@id"/>'.</fo:block>
</xsl:if>
<fo:table width="95%" table-layout="fixed">
<xsl:if test="$isGenerateTableIF = 'true'">
<xsl:attribute name="wrap-option">no-wrap</xsl:attribute>
</xsl:if>
<xsl:choose>
<xsl:when test="normalize-space($key_iso) = 'true' and $parent = 'formula'"/>
<xsl:when test="normalize-space($key_iso) = 'true'">
<xsl:attribute name="font-size">10pt</xsl:attribute>
</xsl:when>
</xsl:choose>
<xsl:choose>
<xsl:when test="$isGenerateTableIF = 'true'">
<!-- generate IF for table widths -->
<!-- example:
<tr>
<td valign="top" align="left" id="tab-symdu_1_1">
<p>Symbol</p>
<word id="tab-symdu_1_1_word_1">Symbol</word>
</td>
<td valign="top" align="left" id="tab-symdu_1_2">
<p>Description</p>
<word id="tab-symdu_1_2_word_1">Description</word>
</td>
</tr>
-->
<!-- create virtual html table for dl/[dt and dd] -->
<xsl:variable name="simple-table">
<!-- initial='<xsl:copy-of select="."/>' -->
<xsl:variable name="dl_table">
<tbody>
<xsl:apply-templates mode="dl_if">
<xsl:with-param name="id" select="@id"/>
</xsl:apply-templates>
</tbody>
</xsl:variable>
<!-- dl_table='<xsl:copy-of select="$dl_table"/>' -->
<!-- Step: replace <br/> to <p>...</p> -->
<xsl:variable name="table_without_br">
<xsl:apply-templates select="xalan:nodeset($dl_table)" mode="table-without-br"/>
</xsl:variable>
<!-- table_without_br='<xsl:copy-of select="$table_without_br"/>' -->
<!-- Step: add id to each cell -->
<!-- add <word>...</word> for each word, image, math -->
<xsl:variable name="simple-table-id">
<xsl:apply-templates select="xalan:nodeset($table_without_br)" mode="simple-table-id">
<xsl:with-param name="id" select="@id"/>
</xsl:apply-templates>
</xsl:variable>
<!-- simple-table-id='<xsl:copy-of select="$simple-table-id"/>' -->
<xsl:copy-of select="xalan:nodeset($simple-table-id)"/>
</xsl:variable>
<!-- DEBUG: simple-table<xsl:copy-of select="$simple-table"/> -->
<xsl:apply-templates select="xalan:nodeset($simple-table)" mode="process_table-if">
<xsl:with-param name="table_or_dl">dl</xsl:with-param>
</xsl:apply-templates>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="simple-table">
<xsl:variable name="dl_table">
<tbody>
<xsl:apply-templates mode="dl">
<xsl:with-param name="id" select="@id"/>
</xsl:apply-templates>
</tbody>
</xsl:variable>
<xsl:copy-of select="$dl_table"/>
</xsl:variable>
<xsl:variable name="colwidths">
<xsl:choose>
<!-- dl from table[@class='dl'] -->
<xsl:when test="*[local-name() = 'colgroup']">
<autolayout/>
<xsl:for-each select="*[local-name() = 'colgroup']/*[local-name() = 'col']">
<column><xsl:value-of select="translate(@width,'%m','')"/></column>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="calculate-column-widths">
<xsl:with-param name="cols-count" select="2"/>
<xsl:with-param name="table" select="$simple-table"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- <xsl:text disable-output-escaping="yes"><!- -</xsl:text>
DEBUG
colwidths=<xsl:copy-of select="$colwidths"/>
<xsl:text disable-output-escaping="yes">- -></xsl:text> -->
<!-- colwidths=<xsl:copy-of select="$colwidths"/> -->
<xsl:variable name="maxlength_dt">
<xsl:call-template name="getMaxLength_dt"/>
</xsl:variable>
<xsl:variable name="isContainsKeepTogetherTag_">
false
</xsl:variable>
<xsl:variable name="isContainsKeepTogetherTag" select="normalize-space($isContainsKeepTogetherTag_)"/>
<!-- isContainsExpressReference=<xsl:value-of select="$isContainsExpressReference"/> -->
<xsl:call-template name="setColumnWidth_dl">
<xsl:with-param name="colwidths" select="$colwidths"/>
<xsl:with-param name="maxlength_dt" select="$maxlength_dt"/>
<xsl:with-param name="isContainsKeepTogetherTag" select="$isContainsKeepTogetherTag"/>
</xsl:call-template>
<fo:table-body>
<!-- DEBUG -->
<xsl:if test="$table_if_debug = 'true'">
<fo:table-row>
<fo:table-cell number-columns-spanned="2" font-size="60%">
<xsl:apply-templates select="xalan:nodeset($colwidths)" mode="print_as_xml"/>
</fo:table-cell>
</fo:table-row>
</xsl:if>
<xsl:apply-templates>
<xsl:with-param name="key_iso" select="normalize-space($key_iso)"/>
<xsl:with-param name="split_keep-within-line" select="xalan:nodeset($colwidths)/split_keep-within-line"/>
</xsl:apply-templates>
</fo:table-body>
</xsl:otherwise>
</xsl:choose>
</fo:table>
</fo:block>
</fo:block>
</xsl:if> <!-- END: a few components -->
</fo:block-container>
</fo:block-container>
<xsl:if test="$isGenerateTableIF = 'true'"> <!-- process nested 'dl' -->
<xsl:apply-templates select="*[local-name() = 'dd']/*[local-name() = 'dl']"/>
</xsl:if>
</xsl:template> <!-- END: dl -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_dl_formula_where_style">
</xsl:template> <!-- refine_dl_formula_where_style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_figure_key_style">
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
</xsl:template> <!-- refine_figure_key_style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_multicomponent_style">
<xsl:variable name="parent" select="local-name(..)"/>
</xsl:template> <!-- refine_multicomponent_style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_multicomponent_block_style">
<xsl:variable name="parent" select="local-name(..)"/>
</xsl:template> <!-- refine_multicomponent_block_style -->
<!-- ignore 'p' with 'where' in formula, before 'dl' -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'formula']/*[local-name() = 'p' and @keep-with-next = 'true' and following-sibling::*[1][local-name() = 'dl']]"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'dl']/*[local-name() = 'name']">
<xsl:param name="process">false</xsl:param>
<xsl:if test="$process = 'true'">
<fo:block xsl:use-attribute-sets="dl-name-style">
<xsl:apply-templates/>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setColumnWidth_dl">
<xsl:param name="colwidths"/>
<xsl:param name="maxlength_dt"/>
<xsl:param name="isContainsKeepTogetherTag"/>
<!-- <colwidths><xsl:copy-of select="$colwidths"/></colwidths> -->
<xsl:choose>
<xsl:when test="xalan:nodeset($colwidths)/autolayout">
<xsl:call-template name="insertTableColumnWidth">
<xsl:with-param name="colwidths" select="$colwidths"/>
</xsl:call-template>
</xsl:when>
<xsl:when test="ancestor::*[local-name()='dl']"><!-- second level, i.e. inlined table -->
<fo:table-column column-width="50%"/>
<fo:table-column column-width="50%"/>
</xsl:when>
<xsl:otherwise>
<xsl:choose>
<xsl:when test="xalan:nodeset($colwidths)/autolayout">
<xsl:call-template name="insertTableColumnWidth">
<xsl:with-param name="colwidths" select="$colwidths"/>
</xsl:call-template>
</xsl:when>
<xsl:when test="$isContainsKeepTogetherTag">
<xsl:call-template name="insertTableColumnWidth">
<xsl:with-param name="colwidths" select="$colwidths"/>
</xsl:call-template>
</xsl:when>
<!-- to set width check most wide chars like `W` -->
<xsl:when test="normalize-space($maxlength_dt) != '' and number($maxlength_dt) <= 2"> <!-- if dt contains short text like t90, a, etc -->
<fo:table-column column-width="7%"/>
<fo:table-column column-width="93%"/>
</xsl:when>
<xsl:when test="normalize-space($maxlength_dt) != '' and number($maxlength_dt) <= 5"> <!-- if dt contains short text like ABC, etc -->
<fo:table-column column-width="15%"/>
<fo:table-column column-width="85%"/>
</xsl:when>
<xsl:when test="normalize-space($maxlength_dt) != '' and number($maxlength_dt) <= 7"> <!-- if dt contains short text like ABCDEF, etc -->
<fo:table-column column-width="20%"/>
<fo:table-column column-width="80%"/>
</xsl:when>
<xsl:when test="normalize-space($maxlength_dt) != '' and number($maxlength_dt) <= 10"> <!-- if dt contains short text like ABCDEFEF, etc -->
<fo:table-column column-width="25%"/>
<fo:table-column column-width="75%"/>
</xsl:when>
<!-- <xsl:when test="xalan:nodeset($colwidths)/column[1] div xalan:nodeset($colwidths)/column[2] > 1.7">
<fo:table-column column-width="60%"/>
<fo:table-column column-width="40%"/>
</xsl:when> -->
<xsl:when test="xalan:nodeset($colwidths)/column[1] div xalan:nodeset($colwidths)/column[2] > 1.3">
<fo:table-column column-width="50%"/>
<fo:table-column column-width="50%"/>
</xsl:when>
<xsl:when test="xalan:nodeset($colwidths)/column[1] div xalan:nodeset($colwidths)/column[2] > 0.5">
<fo:table-column column-width="40%"/>
<fo:table-column column-width="60%"/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="insertTableColumnWidth">
<xsl:with-param name="colwidths" select="$colwidths"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertTableColumnWidth">
<xsl:param name="colwidths"/>
<xsl:for-each select="xalan:nodeset($colwidths)//column">
<xsl:choose>
<xsl:when test=". = 1 or . = 0">
<fo:table-column column-width="proportional-column-width(2)"/>
</xsl:when>
<xsl:otherwise>
<!-- <fo:table-column column-width="proportional-column-width({.})"/> -->
<xsl:variable name="divider">
<xsl:value-of select="@divider"/>
<xsl:if test="not(@divider)">1</xsl:if>
</xsl:variable>
<fo:table-column column-width="proportional-column-width({round(. div $divider)})"/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getMaxLength_dt">
<xsl:variable name="lengths">
<xsl:for-each select="*[local-name()='dt']">
<xsl:variable name="maintext_length" select="string-length(normalize-space(.))"/>
<xsl:variable name="attributes">
<xsl:for-each select=".//@open"><xsl:value-of select="."/></xsl:for-each>
<xsl:for-each select=".//@close"><xsl:value-of select="."/></xsl:for-each>
</xsl:variable>
<length><xsl:value-of select="string-length(normalize-space(.)) + string-length($attributes)"/></length>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="maxLength">
<xsl:for-each select="xalan:nodeset($lengths)/length">
<xsl:sort select="." data-type="number" order="descending"/>
<xsl:if test="position() = 1">
<xsl:value-of select="."/>
</xsl:if>
</xsl:for-each>
</xsl:variable>
<!-- <xsl:message>DEBUG:<xsl:value-of select="$maxLength"/></xsl:message> -->
<xsl:value-of select="$maxLength"/>
</xsl:template>
<!-- note in definition list: dl/note -->
<!-- renders in the 2-column spanned table row -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dl']/*[local-name()='note']" priority="2">
<xsl:param name="key_iso"/>
<!-- <tr>
<td>NOTE</td>
<td>
<xsl:apply-templates />
</td>
</tr>
-->
<!-- OLD Variant -->
<!-- <fo:table-row>
<fo:table-cell>
<fo:block margin-top="6pt">
<xsl:if test="normalize-space($key_iso) = 'true'">
<xsl:attribute name="margin-top">0</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="*[local-name() = 'name']" />
</fo:block>
</fo:table-cell>
<fo:table-cell>
<fo:block>
<xsl:apply-templates select="node()[not(local-name() = 'name')]" />
</fo:block>
</fo:table-cell>
</fo:table-row> -->
<!-- <tr>
<td number-columns-spanned="2">NOTE <xsl:apply-templates /> </td>
</tr>
-->
<fo:table-row>
<fo:table-cell number-columns-spanned="2">
<fo:block role="SKIP">
<xsl:call-template name="note"/>
</fo:block>
</fo:table-cell>
</fo:table-row>
</xsl:template> <!-- END: dl/note -->
<!-- virtual html table for dl/[dt and dd] -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dt']" mode="dl">
<xsl:param name="id"/>
<xsl:variable name="row_number" select="count(preceding-sibling::*[local-name()='dt']) + 1"/>
<tr>
<td>
<xsl:attribute name="id">
<xsl:value-of select="concat($id,'@',$row_number,'_1')"/>
</xsl:attribute>
<xsl:apply-templates/>
</td>
<td>
<xsl:attribute name="id">
<xsl:value-of select="concat($id,'@',$row_number,'_2')"/>
</xsl:attribute>
<xsl:apply-templates select="following-sibling::*[local-name()='dd'][1]">
<xsl:with-param name="process">true</xsl:with-param>
</xsl:apply-templates>
</td>
</tr>
</xsl:template>
<!-- Definition's term -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dt']">
<xsl:param name="key_iso"/>
<xsl:param name="split_keep-within-line"/>
<fo:table-row xsl:use-attribute-sets="dt-row-style">
<xsl:call-template name="insert_dt_cell">
<xsl:with-param name="key_iso" select="$key_iso"/>
<xsl:with-param name="split_keep-within-line" select="$split_keep-within-line"/>
</xsl:call-template>
<xsl:for-each select="following-sibling::*[local-name()='dd'][1]">
<xsl:call-template name="insert_dd_cell">
<xsl:with-param name="split_keep-within-line" select="$split_keep-within-line"/>
</xsl:call-template>
</xsl:for-each>
</fo:table-row>
</xsl:template> <!-- END: dt -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insert_dt_cell">
<xsl:param name="key_iso"/>
<xsl:param name="split_keep-within-line"/>
<fo:table-cell xsl:use-attribute-sets="dt-cell-style">
<xsl:if test="$isGenerateTableIF = 'true'">
<!-- border is mandatory, to calculate real width -->
<xsl:attribute name="border">0.1pt solid black</xsl:attribute>
<xsl:attribute name="text-align">left</xsl:attribute>
</xsl:if>
<xsl:call-template name="refine_dt-cell-style"/>
<fo:block xsl:use-attribute-sets="dt-block-style" role="SKIP">
<xsl:copy-of select="@id"/>
<xsl:if test="normalize-space($key_iso) = 'true'">
<xsl:attribute name="margin-top">0</xsl:attribute>
</xsl:if>
<xsl:call-template name="refine_dt-block-style"/>
<xsl:apply-templates>
<xsl:with-param name="split_keep-within-line" select="$split_keep-within-line"/>
</xsl:apply-templates>
<xsl:if test="$isGenerateTableIF = 'true'"><fo:inline id="{@id}_end">end</fo:inline></xsl:if> <!-- to determine width of text --> <!-- <xsl:value-of select="$hair_space"/> -->
</fo:block>
</fo:table-cell>
</xsl:template> <!-- insert_dt_cell -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insert_dd_cell">
<xsl:param name="split_keep-within-line"/>
<fo:table-cell xsl:use-attribute-sets="dd-cell-style">
<xsl:if test="$isGenerateTableIF = 'true'">
<!-- border is mandatory, to calculate real width -->
<xsl:attribute name="border">0.1pt solid black</xsl:attribute>
</xsl:if>
<xsl:call-template name="refine_dd-cell-style"/>
<fo:block role="SKIP">
<xsl:if test="$isGenerateTableIF = 'true'">
<xsl:attribute name="id"><xsl:value-of select="@id"/></xsl:attribute>
</xsl:if>
<xsl:choose>
<xsl:when test="$isGenerateTableIF = 'true'">
<xsl:apply-templates> <!-- following-sibling::*[local-name()='dd'][1] -->
<xsl:with-param name="process">true</xsl:with-param>
</xsl:apply-templates>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="."> <!-- following-sibling::*[local-name()='dd'][1] -->
<xsl:with-param name="process">true</xsl:with-param>
<xsl:with-param name="split_keep-within-line" select="$split_keep-within-line"/>
</xsl:apply-templates>
</xsl:otherwise>
</xsl:choose>
<xsl:if test="$isGenerateTableIF = 'true'"><fo:inline id="{@id}_end">end</fo:inline></xsl:if> <!-- to determine width of text --> <!-- <xsl:value-of select="$hair_space"/> -->
</fo:block>
</fo:table-cell>
</xsl:template> <!-- insert_dd_cell -->
<!-- END Definition's term -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dd']" mode="dl"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dd']" mode="dl_process">
<xsl:apply-templates/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dd']">
<xsl:param name="process">false</xsl:param>
<xsl:param name="split_keep-within-line"/>
<xsl:if test="$process = 'true'">
<xsl:apply-templates select="@language"/>
<xsl:apply-templates>
<xsl:with-param name="split_keep-within-line" select="$split_keep-within-line"/>
</xsl:apply-templates>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dd']/*" mode="inline">
<xsl:variable name="is_inline_element_after_where">
<xsl:if test="(local-name() = 'p') and not(preceding-sibling::node()[normalize-space() != ''])">true</xsl:if>
</xsl:variable>
<xsl:choose>
<xsl:when test="$is_inline_element_after_where = 'true'">
<fo:inline><xsl:text> </xsl:text><xsl:apply-templates/></fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- virtual html table for dl/[dt and dd] for IF (Intermediate Format) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dt']" mode="dl_if">
<xsl:param name="id"/>
<tr>
<td>
<xsl:copy-of select="node()"/>
</td>
<td>
<!-- <xsl:copy-of select="following-sibling::*[local-name()='dd'][1]/node()[not(local-name() = 'dl')]"/> -->
<xsl:apply-templates select="following-sibling::*[local-name()='dd'][1]/node()[not(local-name() = 'dl')]" mode="dl_if"/>
<!-- get paragraphs from nested 'dl' -->
<xsl:apply-templates select="following-sibling::*[local-name()='dd'][1]/*[local-name() = 'dl']" mode="dl_if_nested"/>
</td>
</tr>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dd']" mode="dl_if"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*" mode="dl_if">
<xsl:copy-of select="."/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'p']" mode="dl_if">
<xsl:param name="indent"/>
<p>
<xsl:copy-of select="@*"/>
<xsl:value-of select="$indent"/>
<xsl:copy-of select="node()"/>
</p>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'ul' or local-name() = 'ol']" mode="dl_if">
<xsl:variable name="list_rendered_">
<xsl:apply-templates select="."/>
</xsl:variable>
<xsl:variable name="list_rendered" select="xalan:nodeset($list_rendered_)"/>
<xsl:variable name="indent">
<xsl:for-each select="($list_rendered//fo:block[not(.//fo:block)])[1]">
<xsl:apply-templates select="ancestor::*[@provisional-distance-between-starts]/@provisional-distance-between-starts" mode="dl_if"/>
</xsl:for-each>
</xsl:variable>
<xsl:apply-templates mode="dl_if">
<xsl:with-param name="indent" select="$indent"/>
</xsl:apply-templates>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'li']" mode="dl_if">
<xsl:param name="indent"/>
<xsl:apply-templates mode="dl_if">
<xsl:with-param name="indent" select="$indent"/>
</xsl:apply-templates>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@provisional-distance-between-starts" mode="dl_if">
<xsl:variable name="value" select="round(substring-before(.,'mm'))"/>
<!-- emulate left indent for list item -->
<xsl:call-template name="repeat">
<xsl:with-param name="char" select="'x'"/>
<xsl:with-param name="count" select="$value"/>
</xsl:call-template>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dl']" mode="dl_if_nested">
<xsl:for-each select="*[local-name() = 'dt']">
<p>
<xsl:copy-of select="node()"/>
<xsl:text> </xsl:text>
<xsl:copy-of select="following-sibling::*[local-name()='dd'][1]/*[local-name() = 'p']/node()"/>
</p>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='dd']" mode="dl_if_nested"/>
<!-- ===================== -->
<!-- END Definition List -->
<!-- ===================== -->
<!-- default: ignore title in sections/p -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sections']/*[local-name() = 'p'][starts-with(@class, 'zzSTDTitle')]" priority="3"/>
<!-- ========================= -->
<!-- Rich text formatting -->
<!-- ========================= -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='em']">
<fo:inline font-style="italic">
<xsl:call-template name="refine_italic_style"/>
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_italic_style">
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='strong'] | *[local-name()='b']">
<xsl:param name="split_keep-within-line"/>
<fo:inline font-weight="bold">
<xsl:call-template name="refine_strong_style"/>
<xsl:apply-templates>
<xsl:with-param name="split_keep-within-line" select="$split_keep-within-line"/>
</xsl:apply-templates>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_strong_style">
<xsl:if test="not(parent::*[local-name() = 'termsource'])">
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="color">black</xsl:attribute>
</xsl:if>
<xsl:if test="ancestor::*['preferred']">
<xsl:attribute name="role">SKIP</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='padding']">
<fo:inline padding-right="{@value}"> </fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='sup']">
<fo:inline font-size="80%" vertical-align="super">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='sub']">
<fo:inline font-size="80%" vertical-align="sub">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tt']">
<fo:inline xsl:use-attribute-sets="tt-style">
<xsl:variable name="_font-size">
<!-- inherit -->
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'table']">inherit</xsl:when>
<xsl:otherwise>95%</xsl:otherwise> <!-- 110% -->
</xsl:choose>
</xsl:variable>
<xsl:variable name="font-size" select="normalize-space($_font-size)"/>
<xsl:if test="$font-size != ''">
<xsl:attribute name="font-size">
<xsl:choose>
<xsl:when test="$font-size = 'inherit'"><xsl:value-of select="$font-size"/></xsl:when>
<xsl:when test="contains($font-size, '%')"><xsl:value-of select="$font-size"/></xsl:when>
<xsl:when test="ancestor::*[local-name()='note'] or ancestor::*[local-name()='example']"><xsl:value-of select="$font-size * 0.91"/>pt</xsl:when>
<xsl:otherwise><xsl:value-of select="$font-size"/>pt</xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:if>
<xsl:apply-templates/>
</fo:inline>
</xsl:template> <!-- tt -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="regex_url_start">^(http://|https://|www\.)?(.*)</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tt']/text()" priority="2">
<xsl:choose>
<xsl:when test="java:replaceAll(java:java.lang.String.new(.), $regex_url_start, '$2') != ''">
<!-- url -->
<xsl:call-template name="add-zero-spaces-link-java"/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="add_spaces_to_sourcecode"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='underline']">
<fo:inline text-decoration="underline">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<!-- ================= -->
<!-- Added,deleted text -->
<!-- ================= -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='add'] | *[local-name() = 'change-open-tag'] | *[local-name() = 'change-close-tag']" name="tag_add">
<xsl:param name="skip">true</xsl:param>
<xsl:param name="block">false</xsl:param>
<xsl:param name="type"/>
<xsl:param name="text-align"/>
<xsl:choose>
<xsl:when test="starts-with(., $ace_tag) or local-name() = 'change-open-tag' or local-name() = 'change-close-tag'"> <!-- examples: ace-tag_A1_start, ace-tag_A2_end, C1_start, AC_start, or
<change-open-tag>A<sub>1</sub></change-open-tag>, <change-close-tag>A<sub>1</sub></change-close-tag> -->
<xsl:choose>
<xsl:when test="$skip = 'true' and ((local-name(../..) = 'note' and not(preceding-sibling::node())) or (local-name(..) = 'title' and preceding-sibling::node()[1][local-name() = 'tab']) or local-name(..) = 'formattedref' and not(preceding-sibling::node())) and ../node()[last()][local-name() = 'add'][starts-with(text(), $ace_tag)]"><!-- start tag displayed in template name="note" and title --></xsl:when>
<xsl:otherwise>
<xsl:variable name="tag">
<xsl:call-template name="insertTag">
<xsl:with-param name="type">
<xsl:choose>
<xsl:when test="local-name() = 'change-open-tag'">start</xsl:when>
<xsl:when test="local-name() = 'change-close-tag'">end</xsl:when>
<xsl:when test="$type = ''"><xsl:value-of select="substring-after(substring-after(., $ace_tag), '_')"/> <!-- start or end --></xsl:when>
<xsl:otherwise><xsl:value-of select="$type"/></xsl:otherwise>
</xsl:choose>
</xsl:with-param>
<xsl:with-param name="kind">
<xsl:choose>
<xsl:when test="local-name() = 'change-open-tag' or local-name() = 'change-close-tag'">
<xsl:value-of select="text()"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="substring(substring-before(substring-after(., $ace_tag), '_'), 1, 1)"/> <!-- A or C -->
</xsl:otherwise>
</xsl:choose>
</xsl:with-param>
<xsl:with-param name="value">
<xsl:choose>
<xsl:when test="local-name() = 'change-open-tag' or local-name() = 'change-close-tag'">
<xsl:value-of select="*[local-name() = 'sub']"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="substring(substring-before(substring-after(., $ace_tag), '_'), 2)"/> <!-- 1, 2, C -->
</xsl:otherwise>
</xsl:choose>
</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:choose>
<xsl:when test="$block = 'false'">
<fo:inline>
<xsl:copy-of select="$tag"/>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<fo:block> <!-- for around figures -->
<xsl:if test="$text-align != ''">
<xsl:attribute name="text-align"><xsl:value-of select="$text-align"/></xsl:attribute>
</xsl:if>
<xsl:copy-of select="$tag"/>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:when test="@amendment">
<fo:inline>
<xsl:call-template name="insertTag">
<xsl:with-param name="kind">A</xsl:with-param>
<xsl:with-param name="value"><xsl:value-of select="@amendment"/></xsl:with-param>
</xsl:call-template>
<xsl:apply-templates/>
<xsl:call-template name="insertTag">
<xsl:with-param name="type">closing</xsl:with-param>
<xsl:with-param name="kind">A</xsl:with-param>
<xsl:with-param name="value"><xsl:value-of select="@amendment"/></xsl:with-param>
</xsl:call-template>
</fo:inline>
</xsl:when>
<xsl:when test="@corrigenda">
<fo:inline>
<xsl:call-template name="insertTag">
<xsl:with-param name="kind">C</xsl:with-param>
<xsl:with-param name="value"><xsl:value-of select="@corrigenda"/></xsl:with-param>
</xsl:call-template>
<xsl:apply-templates/>
<xsl:call-template name="insertTag">
<xsl:with-param name="type">closing</xsl:with-param>
<xsl:with-param name="kind">C</xsl:with-param>
<xsl:with-param name="value"><xsl:value-of select="@corrigenda"/></xsl:with-param>
</xsl:call-template>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<fo:inline xsl:use-attribute-sets="add-style">
<xsl:apply-templates/>
</fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- add -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertTag">
<xsl:param name="type"/>
<xsl:param name="kind"/>
<xsl:param name="value"/>
<xsl:variable name="add_width" select="string-length($value) * 20"/>
<xsl:variable name="maxwidth" select="60 + $add_width"/>
<fo:instream-foreign-object fox:alt-text="OpeningTag" baseline-shift="-10%"><!-- alignment-baseline="middle" -->
<xsl:attribute name="height">3.5mm</xsl:attribute> <!-- 5mm -->
<xsl:attribute name="content-width">100%</xsl:attribute>
<xsl:attribute name="content-width">scale-down-to-fit</xsl:attribute>
<xsl:attribute name="scaling">uniform</xsl:attribute>
<!-- <svg xmlns="http://www.w3.org/2000/svg" width="{$maxwidth + 32}" height="80">
<g>
<xsl:if test="$type = 'closing' or $type = 'end'">
<xsl:attribute name="transform">scale(-1 1) translate(-<xsl:value-of select="$maxwidth + 32"/>,0)</xsl:attribute>
</xsl:if>
<polyline points="0,0 {$maxwidth},0 {$maxwidth + 30},40 {$maxwidth},80 0,80 " stroke="black" stroke-width="5" fill="white"/>
<line x1="0" y1="0" x2="0" y2="80" stroke="black" stroke-width="20"/>
</g>
<text font-family="Arial" x="15" y="57" font-size="40pt">
<xsl:if test="$type = 'closing' or $type = 'end'">
<xsl:attribute name="x">25</xsl:attribute>
</xsl:if>
<xsl:value-of select="$kind"/><tspan dy="10" font-size="30pt"><xsl:value-of select="$value"/></tspan>
</text>
</svg> -->
<svg xmlns="http://www.w3.org/2000/svg" width="{$maxwidth + 32}" height="80">
<g>
<xsl:if test="$type = 'closing' or $type = 'end'">
<xsl:attribute name="transform">scale(-1 1) translate(-<xsl:value-of select="$maxwidth + 32"/>,0)</xsl:attribute>
</xsl:if>
<polyline points="0,2.5 {$maxwidth},2.5 {$maxwidth + 20},40 {$maxwidth},77.5 0,77.5" stroke="black" stroke-width="5" fill="white"/>
<line x1="9.5" y1="0" x2="9.5" y2="80" stroke="black" stroke-width="19"/>
</g>
<xsl:variable name="text_x">
<xsl:choose>
<xsl:when test="$type = 'closing' or $type = 'end'">28</xsl:when>
<xsl:otherwise>22</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<text font-family="Arial" x="{$text_x}" y="50" font-size="40pt">
<xsl:value-of select="$kind"/>
</text>
<text font-family="Arial" x="{$text_x + 33}" y="65" font-size="38pt">
<xsl:value-of select="$value"/>
</text>
</svg>
</fo:instream-foreign-object>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='del']">
<fo:inline xsl:use-attribute-sets="del-style">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<!-- ================= -->
<!-- END Added,deleted text -->
<!-- ================= -->
<!-- highlight text -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='hi']">
<fo:inline background-color="yellow">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()[ancestor::*[local-name()='smallcap']]">
<!-- <xsl:variable name="text" select="normalize-space(.)"/> --> <!-- https://github.com/metanorma/metanorma-iso/issues/1115 -->
<xsl:variable name="text" select="."/>
<xsl:variable name="ratio_">
0.75
</xsl:variable>
<xsl:variable name="ratio" select="number(normalize-space($ratio_))"/>
<fo:inline font-size="{$ratio * 100}%" role="SKIP">
<xsl:if test="string-length($text) > 0">
<xsl:variable name="smallCapsText">
<xsl:call-template name="recursiveSmallCaps">
<xsl:with-param name="text" select="$text"/>
<xsl:with-param name="ratio" select="$ratio"/>
</xsl:call-template>
</xsl:variable>
<!-- merge neighboring fo:inline -->
<xsl:for-each select="xalan:nodeset($smallCapsText)/node()">
<xsl:choose>
<xsl:when test="self::fo:inline and preceding-sibling::node()[1][self::fo:inline]"><!-- <xsl:copy-of select="."/> --></xsl:when>
<xsl:when test="self::fo:inline and @font-size">
<xsl:variable name="curr_pos" select="count(preceding-sibling::node()) + 1"/>
<!-- <curr_pos><xsl:value-of select="$curr_pos"/></curr_pos> -->
<xsl:variable name="next_text_" select="count(following-sibling::node()[not(local-name() = 'inline')][1]/preceding-sibling::node())"/>
<xsl:variable name="next_text">
<xsl:choose>
<xsl:when test="$next_text_ = 0">99999999</xsl:when>
<xsl:otherwise><xsl:value-of select="$next_text_ + 1"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- <next_text><xsl:value-of select="$next_text"/></next_text> -->
<fo:inline>
<xsl:copy-of select="@*"/>
<xsl:copy-of select="./node()"/>
<xsl:for-each select="following-sibling::node()[position() < $next_text - $curr_pos]"> <!-- [self::fo:inline] -->
<xsl:copy-of select="./node()"/>
</xsl:for-each>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:if>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="recursiveSmallCaps">
<xsl:param name="text"/>
<xsl:param name="ratio"/>
<xsl:variable name="char" select="substring($text,1,1)"/>
<!-- <xsl:variable name="upperCase" select="translate($char, $lower, $upper)"/> -->
<xsl:variable name="upperCase" select="java:toUpperCase(java:java.lang.String.new($char))"/>
<xsl:choose>
<xsl:when test="$char=$upperCase">
<fo:inline font-size="{100 div $ratio}%" role="SKIP">
<xsl:value-of select="$upperCase"/>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$upperCase"/>
</xsl:otherwise>
</xsl:choose>
<xsl:if test="string-length($text) > 1">
<xsl:call-template name="recursiveSmallCaps">
<xsl:with-param name="text" select="substring($text,2)"/>
<xsl:with-param name="ratio" select="$ratio"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'pagebreak']">
<fo:block break-after="page"/>
<fo:block> </fo:block>
<fo:block break-after="page"/>
</xsl:template>
<!-- Example: <span style="font-family:"Noto Sans JP"">styled text</span> -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'span'][@style]" priority="2">
<xsl:variable name="styles__">
<xsl:call-template name="split">
<xsl:with-param name="pText" select="concat(@style,';')"/>
<xsl:with-param name="sep" select="';'"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="quot">"</xsl:variable>
<xsl:variable name="styles_">
<xsl:for-each select="xalan:nodeset($styles__)/item">
<xsl:variable name="key" select="normalize-space(substring-before(., ':'))"/>
<xsl:variable name="value_" select="normalize-space(substring-after(translate(.,$quot,''), ':'))"/>
<xsl:variable name="value">
<xsl:choose>
<!-- if font-size is digits only -->
<xsl:when test="$key = 'font-size' and translate($value_, '0123456789', '') = ''"><xsl:value-of select="$value_"/>pt</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$value_"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:if test="$key = 'font-family' or $key = 'font-size' or $key = 'color'">
<style name="{$key}"><xsl:value-of select="$value"/></style>
</xsl:if>
<xsl:if test="$key = 'text-indent'">
<style name="padding-left"><xsl:value-of select="$value"/></style>
</xsl:if>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="styles" select="xalan:nodeset($styles_)"/>
<xsl:choose>
<xsl:when test="$styles/style">
<fo:inline>
<xsl:for-each select="$styles/style">
<xsl:attribute name="{@name}"><xsl:value-of select="."/></xsl:attribute>
</xsl:for-each>
<xsl:apply-templates/>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- END: span[@style] -->
<!-- Note: to enable the addition of character span markup with semantic styling for DIS Word output -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'span']">
<xsl:apply-templates/>
</xsl:template>
<!-- Don't break standard's numbers -->
<!-- Example : <span class="stdpublisher">ISO</span> <span class="stddocNumber">10303</span>-<span class="stddocPartNumber">1</span>:<span class="stdyear">1994</span> -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'span'][@class = 'stdpublisher' or @class = 'stddocNumber' or @class = 'stddocPartNumber' or @class = 'stdyear']" priority="2">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'table']"><xsl:apply-templates/></xsl:when>
<xsl:when test="following-sibling::*[2][local-name() = 'span'][@class = 'stdpublisher' or @class = 'stddocNumber' or @class = 'stddocPartNumber' or @class = 'stdyear']">
<fo:inline keep-with-next.within-line="always"><xsl:apply-templates/></fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()[not(ancestor::*[local-name() = 'table']) and preceding-sibling::*[1][local-name() = 'span'][@class = 'stdpublisher' or @class = 'stddocNumber' or @class = 'stddocPartNumber' or @class = 'stdyear'] and following-sibling::*[1][local-name() = 'span'][@class = 'stdpublisher' or @class = 'stddocNumber' or @class = 'stddocPartNumber' or @class = 'stdyear']]" priority="2">
<fo:inline keep-with-next.within-line="always"><xsl:value-of select="."/></fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'span'][contains(@style, 'text-transform:none')]//text()" priority="5">
<xsl:value-of select="."/>
</xsl:template>
<!-- ========================= -->
<!-- END Rich text formatting -->
<!-- ========================= -->
<!-- split string 'text' by 'separator' -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="tokenize">
<xsl:param name="text"/>
<xsl:param name="separator" select="' '"/>
<xsl:choose>
<xsl:when test="$isGenerateTableIF = 'true' and not(contains($text, $separator))">
<word><xsl:value-of select="normalize-space($text)"/></word>
</xsl:when>
<xsl:when test="not(contains($text, $separator))">
<word>
<xsl:variable name="len_str_tmp" select="string-length(normalize-space($text))"/>
<xsl:choose>
<xsl:when test="normalize-space(translate($text, 'X', '')) = ''"> <!-- special case for keep-together.within-line -->
<xsl:value-of select="$len_str_tmp"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="str_no_en_chars" select="normalize-space(translate($text, $en_chars, ''))"/>
<xsl:variable name="len_str_no_en_chars" select="string-length($str_no_en_chars)"/>
<xsl:variable name="len_str">
<xsl:choose>
<xsl:when test="normalize-space(translate($text, $upper, '')) = ''"> <!-- english word in CAPITAL letters -->
<xsl:value-of select="$len_str_tmp * 1.5"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$len_str_tmp"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- <xsl:if test="$len_str_no_en_chars div $len_str > 0.8">
<xsl:message>
div=<xsl:value-of select="$len_str_no_en_chars div $len_str"/>
len_str=<xsl:value-of select="$len_str"/>
len_str_no_en_chars=<xsl:value-of select="$len_str_no_en_chars"/>
</xsl:message>
</xsl:if> -->
<!-- <len_str_no_en_chars><xsl:value-of select="$len_str_no_en_chars"/></len_str_no_en_chars>
<len_str><xsl:value-of select="$len_str"/></len_str> -->
<xsl:choose>
<xsl:when test="$len_str_no_en_chars div $len_str > 0.8"> <!-- means non-english string -->
<xsl:value-of select="$len_str - $len_str_no_en_chars"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$len_str"/>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</word>
</xsl:when>
<xsl:otherwise>
<word>
<xsl:variable name="word" select="normalize-space(substring-before($text, $separator))"/>
<xsl:choose>
<xsl:when test="$isGenerateTableIF = 'true'">
<xsl:value-of select="$word"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="string-length($word)"/>
</xsl:otherwise>
</xsl:choose>
</word>
<xsl:call-template name="tokenize">
<xsl:with-param name="text" select="substring-after($text, $separator)"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- split string 'text' by 'separator', enclosing in formatting tags -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="tokenize_with_tags">
<xsl:param name="tags"/>
<xsl:param name="text"/>
<xsl:param name="separator" select="' '"/>
<xsl:choose>
<xsl:when test="not(contains($text, $separator))">
<word>
<xsl:if test="ancestor::*[local-name() = 'p'][@from_dl = 'true']">
<xsl:text>
</xsl:text> <!-- to add distance between dt and dd -->
</xsl:if>
<xsl:call-template name="enclose_text_in_tags">
<xsl:with-param name="text" select="normalize-space($text)"/>
<xsl:with-param name="tags" select="$tags"/>
</xsl:call-template>
</word>
</xsl:when>
<xsl:otherwise>
<word>
<xsl:if test="ancestor::*[local-name() = 'p'][@from_dl = 'true']">
<xsl:text>
</xsl:text> <!-- to add distance between dt and dd -->
</xsl:if>
<xsl:call-template name="enclose_text_in_tags">
<xsl:with-param name="text" select="normalize-space(substring-before($text, $separator))"/>
<xsl:with-param name="tags" select="$tags"/>
</xsl:call-template>
</word>
<xsl:call-template name="tokenize_with_tags">
<xsl:with-param name="text" select="substring-after($text, $separator)"/>
<xsl:with-param name="tags" select="$tags"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="enclose_text_in_tags">
<xsl:param name="text"/>
<xsl:param name="tags"/>
<xsl:param name="num">1</xsl:param> <!-- default (start) value -->
<xsl:variable name="tag_name" select="normalize-space(xalan:nodeset($tags)//tag[$num])"/>
<xsl:choose>
<xsl:when test="$tag_name = ''"><xsl:value-of select="$text"/></xsl:when>
<xsl:otherwise>
<xsl:element name="{$tag_name}">
<xsl:call-template name="enclose_text_in_tags">
<xsl:with-param name="text" select="$text"/>
<xsl:with-param name="tags" select="$tags"/>
<xsl:with-param name="num" select="$num + 1"/>
</xsl:call-template>
</xsl:element>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- get max value in array -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="max_length">
<xsl:param name="words"/>
<xsl:for-each select="$words//word">
<xsl:sort select="." data-type="number" order="descending"/>
<xsl:if test="position()=1">
<xsl:value-of select="."/>
</xsl:if>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add-zero-spaces-java">
<xsl:param name="text" select="."/>
<!-- add zero-width space (#x200B) after dot with next non-digit -->
<xsl:variable name="text1" select="java:replaceAll(java:java.lang.String.new($text),'(\.)([^\d\s])','$1$2')"/>
<!-- add zero-width space (#x200B) after characters: dash, equal, underscore, em dash, thin space, arrow right, ; -->
<xsl:variable name="text2" select="java:replaceAll(java:java.lang.String.new($text1),'(-|=|_|—| |→|;)','$1')"/>
<!-- add zero-width space (#x200B) after characters: colon, if there aren't digits after -->
<xsl:variable name="text3" select="java:replaceAll(java:java.lang.String.new($text2),'(:)(\D)','$1$2')"/>
<!-- add zero-width space (#x200B) after characters: 'great than' -->
<xsl:variable name="text4" select="java:replaceAll(java:java.lang.String.new($text3), '(\u003e)(?!\u003e)', '$1')"/><!-- negative lookahead: 'great than' not followed by 'great than' -->
<!-- add zero-width space (#x200B) before characters: 'less than' -->
<xsl:variable name="text5" select="java:replaceAll(java:java.lang.String.new($text4), '(?<!\u003c)(\u003c)', '$1')"/> <!-- (?<!\u003c)(\u003c) --> <!-- negative lookbehind: 'less than' not preceeded by 'less than' -->
<!-- add zero-width space (#x200B) before character: { -->
<xsl:variable name="text6" select="java:replaceAll(java:java.lang.String.new($text5), '(?<!\W)(\{)', '$1')"/> <!-- negative lookbehind: '{' not preceeded by 'punctuation char' -->
<!-- add zero-width space (#x200B) after character: , -->
<xsl:variable name="text7" select="java:replaceAll(java:java.lang.String.new($text6), '(\,)(?!\d)', '$1')"/> <!-- negative lookahead: ',' not followed by digit -->
<!-- add zero-width space (#x200B) after character: '/' -->
<xsl:variable name="text8" select="java:replaceAll(java:java.lang.String.new($text7), '(\u002f)(?!\u002f)', '$1')"/><!-- negative lookahead: '/' not followed by '/' -->
<xsl:variable name="text9">
<xsl:choose>
<xsl:when test="$isGenerateTableIF = 'true'">
<xsl:value-of select="java:replaceAll(java:java.lang.String.new($text8), '([\u3000-\u9FFF])', '$1')"/> <!-- 3000 - CJK Symbols and Punctuation ... 9FFF CJK Unified Ideographs-->
</xsl:when>
<xsl:otherwise><xsl:value-of select="$text8"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- replace sequence #x200B to one ​ -->
<xsl:variable name="text10" select="java:replaceAll(java:java.lang.String.new($text9), '\u200b{2,}', '')"/>
<!-- replace sequence #x200B and space TO space -->
<xsl:variable name="text11" select="java:replaceAll(java:java.lang.String.new($text10), '\u200b ', ' ')"/>
<xsl:value-of select="$text11"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add-zero-spaces-link-java">
<xsl:param name="text" select="."/>
<xsl:value-of select="java:replaceAll(java:java.lang.String.new($text), $regex_url_start, '$1')"/> <!-- http://. https:// or www. -->
<xsl:variable name="url_continue" select="java:replaceAll(java:java.lang.String.new($text), $regex_url_start, '$2')"/>
<!-- add zero-width space (#x200B) after characters: dash, dot, colon, equal, underscore, em dash, thin space, comma, slash, @ -->
<xsl:variable name="url" select="java:replaceAll(java:java.lang.String.new($url_continue),'(-|\.|:|=|_|—| |,|/|@)','$1')"/>
<!-- replace sequence #x200B to one ​ -->
<xsl:variable name="url2" select="java:replaceAll(java:java.lang.String.new($url), '\u200b{2,}', '')"/>
<!-- remove zero-width space at the end -->
<xsl:value-of select="java:replaceAll(java:java.lang.String.new($url2), '$', '')"/>
</xsl:template>
<!-- add zero space after dash character (for table's entries) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add-zero-spaces">
<xsl:param name="text" select="."/>
<xsl:variable name="zero-space-after-chars">-</xsl:variable>
<xsl:variable name="zero-space-after-dot">.</xsl:variable>
<xsl:variable name="zero-space-after-colon">:</xsl:variable>
<xsl:variable name="zero-space-after-equal">=</xsl:variable>
<xsl:variable name="zero-space-after-underscore">_</xsl:variable>
<xsl:variable name="zero-space"></xsl:variable>
<xsl:choose>
<xsl:when test="contains($text, $zero-space-after-chars)">
<xsl:value-of select="substring-before($text, $zero-space-after-chars)"/>
<xsl:value-of select="$zero-space-after-chars"/>
<xsl:value-of select="$zero-space"/>
<xsl:call-template name="add-zero-spaces">
<xsl:with-param name="text" select="substring-after($text, $zero-space-after-chars)"/>
</xsl:call-template>
</xsl:when>
<xsl:when test="contains($text, $zero-space-after-dot)">
<xsl:value-of select="substring-before($text, $zero-space-after-dot)"/>
<xsl:value-of select="$zero-space-after-dot"/>
<xsl:value-of select="$zero-space"/>
<xsl:call-template name="add-zero-spaces">
<xsl:with-param name="text" select="substring-after($text, $zero-space-after-dot)"/>
</xsl:call-template>
</xsl:when>
<xsl:when test="contains($text, $zero-space-after-colon)">
<xsl:value-of select="substring-before($text, $zero-space-after-colon)"/>
<xsl:value-of select="$zero-space-after-colon"/>
<xsl:value-of select="$zero-space"/>
<xsl:call-template name="add-zero-spaces">
<xsl:with-param name="text" select="substring-after($text, $zero-space-after-colon)"/>
</xsl:call-template>
</xsl:when>
<xsl:when test="contains($text, $zero-space-after-equal)">
<xsl:value-of select="substring-before($text, $zero-space-after-equal)"/>
<xsl:value-of select="$zero-space-after-equal"/>
<xsl:value-of select="$zero-space"/>
<xsl:call-template name="add-zero-spaces">
<xsl:with-param name="text" select="substring-after($text, $zero-space-after-equal)"/>
</xsl:call-template>
</xsl:when>
<xsl:when test="contains($text, $zero-space-after-underscore)">
<xsl:value-of select="substring-before($text, $zero-space-after-underscore)"/>
<xsl:value-of select="$zero-space-after-underscore"/>
<xsl:value-of select="$zero-space"/>
<xsl:call-template name="add-zero-spaces">
<xsl:with-param name="text" select="substring-after($text, $zero-space-after-underscore)"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$text"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add-zero-spaces-equal">
<xsl:param name="text" select="."/>
<xsl:variable name="zero-space-after-equals">==========</xsl:variable>
<xsl:variable name="regex_zero-space-after-equals">(==========)</xsl:variable>
<xsl:variable name="zero-space-after-equal">=</xsl:variable>
<xsl:variable name="regex_zero-space-after-equal">(=)</xsl:variable>
<xsl:variable name="zero-space"></xsl:variable>
<xsl:choose>
<xsl:when test="contains($text, $zero-space-after-equals)">
<!-- <xsl:value-of select="substring-before($text, $zero-space-after-equals)"/>
<xsl:value-of select="$zero-space-after-equals"/>
<xsl:value-of select="$zero-space"/>
<xsl:call-template name="add-zero-spaces-equal">
<xsl:with-param name="text" select="substring-after($text, $zero-space-after-equals)"/>
</xsl:call-template> -->
<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.),$regex_zero-space-after-equals,concat('$1',$zero_width_space))"/>
</xsl:when>
<xsl:when test="contains($text, $zero-space-after-equal)">
<!-- <xsl:value-of select="substring-before($text, $zero-space-after-equal)"/>
<xsl:value-of select="$zero-space-after-equal"/>
<xsl:value-of select="$zero-space"/>
<xsl:call-template name="add-zero-spaces-equal">
<xsl:with-param name="text" select="substring-after($text, $zero-space-after-equal)"/>
</xsl:call-template> -->
<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.),$regex_zero-space-after-equal,concat('$1',$zero_width_space))"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$text"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- Table normalization (colspan,rowspan processing for adding TDs) for column width calculation -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getSimpleTable">
<xsl:param name="id"/>
<!-- <test0>
<xsl:copy-of select="."/>
</test0> -->
<xsl:variable name="simple-table">
<!-- Step 0. replace <br/> to <p>...</p> -->
<xsl:variable name="table_without_br">
<xsl:apply-templates mode="table-without-br"/>
</xsl:variable>
<!-- Step 1. colspan processing -->
<xsl:variable name="simple-table-colspan">
<tbody>
<xsl:apply-templates select="xalan:nodeset($table_without_br)" mode="simple-table-colspan"/>
</tbody>
</xsl:variable>
<!-- Step 2. rowspan processing -->
<xsl:variable name="simple-table-rowspan">
<xsl:apply-templates select="xalan:nodeset($simple-table-colspan)" mode="simple-table-rowspan"/>
</xsl:variable>
<!-- Step 3: add id to each cell -->
<!-- add <word>...</word> for each word, image, math -->
<xsl:variable name="simple-table-id">
<xsl:apply-templates select="xalan:nodeset($simple-table-rowspan)" mode="simple-table-id">
<xsl:with-param name="id" select="$id"/>
</xsl:apply-templates>
</xsl:variable>
<xsl:copy-of select="xalan:nodeset($simple-table-id)"/>
</xsl:variable>
<xsl:copy-of select="$simple-table"/>
</xsl:template>
<!-- ================================== -->
<!-- Step 0. replace <br/> to <p>...</p> -->
<!-- ================================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="table-without-br">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="table-without-br"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th' or local-name() = 'td'][not(*[local-name()='br']) and not(*[local-name()='p']) and not(*[local-name()='sourcecode']) and not(*[local-name()='ul']) and not(*[local-name()='ol'])]" mode="table-without-br">
<xsl:copy>
<xsl:copy-of select="@*"/>
<p>
<xsl:copy-of select="node()"/>
</p>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th' or local-name()='td'][*[local-name()='br']]" mode="table-without-br">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:for-each select="*[local-name()='br']">
<xsl:variable name="current_id" select="generate-id()"/>
<p>
<xsl:for-each select="preceding-sibling::node()[following-sibling::*[local-name() = 'br'][1][generate-id() = $current_id]][not(local-name() = 'br')]">
<xsl:copy-of select="."/>
</xsl:for-each>
</p>
<xsl:if test="not(following-sibling::*[local-name() = 'br'])">
<p>
<xsl:for-each select="following-sibling::node()">
<xsl:copy-of select="."/>
</xsl:for-each>
</p>
</xsl:if>
</xsl:for-each>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th' or local-name()='td']/*[local-name() = 'p'][*[local-name()='br']]" mode="table-without-br">
<xsl:for-each select="*[local-name()='br']">
<xsl:variable name="current_id" select="generate-id()"/>
<p>
<xsl:for-each select="preceding-sibling::node()[following-sibling::*[local-name() = 'br'][1][generate-id() = $current_id]][not(local-name() = 'br')]">
<xsl:copy-of select="."/>
</xsl:for-each>
</p>
<xsl:if test="not(following-sibling::*[local-name() = 'br'])">
<p>
<xsl:for-each select="following-sibling::node()">
<xsl:copy-of select="."/>
</xsl:for-each>
</p>
</xsl:if>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th' or local-name()='td']/*[local-name() = 'sourcecode']" mode="table-without-br">
<xsl:apply-templates mode="table-without-br"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th' or local-name()='td']/*[local-name() = 'sourcecode']/text()[contains(., ' ') or contains(., ' ')]" mode="table-without-br">
<xsl:variable name="sep">###SOURCECODE_NEWLINE###</xsl:variable>
<xsl:variable name="sourcecode_text" select="java:replaceAll(java:java.lang.String.new(.),'( | | )', $sep)"/>
<xsl:variable name="items">
<xsl:call-template name="split">
<xsl:with-param name="pText" select="$sourcecode_text"/>
<xsl:with-param name="sep" select="$sep"/>
<xsl:with-param name="normalize-space">false</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($items)/*">
<p>
<sourcecode><xsl:copy-of select="node()"/></sourcecode>
</p>
</xsl:for-each>
</xsl:template>
<!-- remove redundant white spaces -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()[not(ancestor::*[local-name() = 'sourcecode'])]" mode="table-without-br">
<xsl:variable name="text" select="translate(.,'	 ','')"/>
<xsl:value-of select="java:replaceAll(java:java.lang.String.new($text),' {2,}',' ')"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th' or local-name()='td']//*[local-name() = 'ol' or local-name() = 'ul']" mode="table-without-br">
<xsl:apply-templates mode="table-without-br"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th' or local-name()='td']//*[local-name() = 'li']" mode="table-without-br">
<xsl:apply-templates mode="table-without-br"/>
</xsl:template>
<!-- mode="table-without-br" -->
<!-- ================================== -->
<!-- END: Step 0. replace <br/> to <p>...</p> -->
<!-- ================================== -->
<!-- ===================== -->
<!-- 1. mode "simple-table-colspan"
1.1. remove thead, tbody, fn
1.2. rename th -> td
1.3. repeating N td with colspan=N
1.4. remove namespace
1.5. remove @colspan attribute
1.6. add @divide attribute for divide text width in further processing
-->
<!-- ===================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='thead'] | *[local-name()='tbody']" mode="simple-table-colspan">
<xsl:apply-templates mode="simple-table-colspan"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='fn']" mode="simple-table-colspan"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th'] | *[local-name()='td']" mode="simple-table-colspan">
<xsl:choose>
<xsl:when test="@colspan">
<xsl:variable name="td">
<xsl:element name="{local-name()}">
<xsl:attribute name="divide"><xsl:value-of select="@colspan"/></xsl:attribute>
<xsl:if test="local-name()='th'">
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="@*" mode="simple-table-colspan"/>
<xsl:apply-templates mode="simple-table-colspan"/>
</xsl:element>
</xsl:variable>
<xsl:call-template name="repeatNode">
<xsl:with-param name="count" select="@colspan"/>
<xsl:with-param name="node" select="$td"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:element name="{local-name()}">
<xsl:apply-templates select="@*" mode="simple-table-colspan"/>
<xsl:if test="local-name()='th'">
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:if>
<xsl:apply-templates mode="simple-table-colspan"/>
</xsl:element>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@colspan" mode="simple-table-colspan"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tr']" mode="simple-table-colspan">
<xsl:element name="tr">
<xsl:apply-templates select="@*" mode="simple-table-colspan"/>
<xsl:apply-templates mode="simple-table-colspan"/>
</xsl:element>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="simple-table-colspan">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="simple-table-colspan"/>
</xsl:copy>
</xsl:template>
<!-- repeat node 'count' times -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="repeatNode">
<xsl:param name="count"/>
<xsl:param name="node"/>
<xsl:if test="$count > 0">
<xsl:call-template name="repeatNode">
<xsl:with-param name="count" select="$count - 1"/>
<xsl:with-param name="node" select="$node"/>
</xsl:call-template>
<xsl:copy-of select="$node"/>
</xsl:if>
</xsl:template>
<!-- End mode simple-table-colspan -->
<!-- ===================== -->
<!-- ===================== -->
<!-- ===================== -->
<!-- 2. mode "simple-table-rowspan"
Row span processing, more information http://andrewjwelch.com/code/xslt/table/table-normalization.html -->
<!-- ===================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="simple-table-rowspan">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="simple-table-rowspan"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="tbody" mode="simple-table-rowspan">
<xsl:copy>
<xsl:copy-of select="tr[1]"/>
<xsl:apply-templates select="tr[2]" mode="simple-table-rowspan">
<xsl:with-param name="previousRow" select="tr[1]"/>
</xsl:apply-templates>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="tr" mode="simple-table-rowspan">
<xsl:param name="previousRow"/>
<xsl:variable name="currentRow" select="."/>
<xsl:variable name="normalizedTDs">
<xsl:for-each select="xalan:nodeset($previousRow)//*[self::td or self::th]">
<xsl:choose>
<xsl:when test="@rowspan > 1">
<xsl:copy>
<xsl:attribute name="rowspan">
<xsl:value-of select="@rowspan - 1"/>
</xsl:attribute>
<xsl:copy-of select="@*[not(name() = 'rowspan')]"/>
<xsl:copy-of select="node()"/>
</xsl:copy>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="$currentRow/*[self::td or self::th][1 + count(current()/preceding-sibling::*[self::td or self::th][not(@rowspan) or (@rowspan = 1)])]"/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="newRow">
<xsl:copy>
<xsl:copy-of select="$currentRow/@*"/>
<xsl:copy-of select="xalan:nodeset($normalizedTDs)"/>
</xsl:copy>
</xsl:variable>
<xsl:copy-of select="$newRow"/>
<!-- optimize to prevent StackOverflowError, just copy next 'tr' -->
<xsl:variable name="currrow_num" select="count(preceding-sibling::tr) + 1"/>
<xsl:variable name="nextrow_without_rowspan_" select="count(following-sibling::tr[*[@rowspan and @rowspan != 1]][1]/preceding-sibling::tr) + 1"/>
<xsl:variable name="nextrow_without_rowspan" select="$nextrow_without_rowspan_ - $currrow_num"/>
<xsl:choose>
<xsl:when test="not(xalan:nodeset($newRow)/*/*[@rowspan and @rowspan != 1]) and $nextrow_without_rowspan <= 0">
<xsl:copy-of select="following-sibling::tr"/>
</xsl:when>
<!-- <xsl:when test="xalan:nodeset($newRow)/*[not(@rowspan) or (@rowspan = 1)] and $nextrow_without_rowspan > 0">
<xsl:copy-of select="following-sibling::tr[position() <= $nextrow_without_rowspan]"/>
<xsl:copy-of select="following-sibling::tr[$nextrow_without_rowspan + 1]"/>
<xsl:apply-templates select="following-sibling::tr[$nextrow_without_rowspan + 2]" mode="simple-table-rowspan">
<xsl:with-param name="previousRow" select="following-sibling::tr[$nextrow_without_rowspan + 1]"/>
</xsl:apply-templates>
</xsl:when> -->
<xsl:otherwise>
<xsl:apply-templates select="following-sibling::tr[1]" mode="simple-table-rowspan">
<xsl:with-param name="previousRow" select="$newRow"/>
</xsl:apply-templates>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- End mode simple-table-rowspan -->
<!-- Step 3: add id for each cell -->
<!-- mode: simple-table-id -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="/" mode="simple-table-id">
<xsl:param name="id"/>
<xsl:variable name="id_prefixed" select="concat('table_if_',$id)"/> <!-- table id prefixed by 'table_if_' to simple search in IF -->
<xsl:apply-templates select="@*|node()" mode="simple-table-id">
<xsl:with-param name="id" select="$id_prefixed"/>
</xsl:apply-templates>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="simple-table-id">
<xsl:param name="id"/>
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="simple-table-id">
<xsl:with-param name="id" select="$id"/>
</xsl:apply-templates>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tbody']" mode="simple-table-id">
<xsl:param name="id"/>
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:attribute name="id"><xsl:value-of select="$id"/></xsl:attribute>
<xsl:apply-templates select="node()" mode="simple-table-id">
<xsl:with-param name="id" select="$id"/>
</xsl:apply-templates>
</xsl:copy>
</xsl:template>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="font_main_root_style">
<root-style xsl:use-attribute-sets="root-style">
</root-style>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="font_main_root_style_font_family" select="xalan:nodeset($font_main_root_style)/root-style/@font-family"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="font_main">
<xsl:choose>
<xsl:when test="contains($font_main_root_style_font_family, ',')"><xsl:value-of select="substring-before($font_main_root_style_font_family, ',')"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$font_main_root_style_font_family"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th' or local-name()='td']" mode="simple-table-id">
<xsl:param name="id"/>
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:variable name="row_number" select="count(../preceding-sibling::*) + 1"/>
<xsl:variable name="col_number" select="count(preceding-sibling::*) + 1"/>
<xsl:variable name="divide">
<xsl:choose>
<xsl:when test="@divide"><xsl:value-of select="@divide"/></xsl:when>
<xsl:otherwise>1</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:attribute name="id">
<xsl:value-of select="concat($id,'@',$row_number,'_',$col_number,'_',$divide)"/>
</xsl:attribute>
<xsl:for-each select="*[local-name() = 'p']">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:variable name="p_num" select="count(preceding-sibling::*[local-name() = 'p']) + 1"/>
<xsl:attribute name="id">
<xsl:value-of select="concat($id,'@',$row_number,'_',$col_number,'_p_',$p_num,'_',$divide)"/>
</xsl:attribute>
<!-- <xsl:copy-of select="node()" /> -->
<xsl:apply-templates mode="simple-table-noid"/>
</xsl:copy>
</xsl:for-each>
<xsl:if test="$isGenerateTableIF = 'true'"> <!-- split each paragraph to words, image, math -->
<xsl:variable name="td_text">
<xsl:apply-templates select="." mode="td_text_with_formatting"/>
</xsl:variable>
<!-- td_text='<xsl:copy-of select="$td_text"/>' -->
<xsl:variable name="words_with_width">
<!-- calculate width for 'word' which contain text only (without formatting tags inside) -->
<xsl:for-each select="xalan:nodeset($td_text)//*[local-name() = 'word'][normalize-space() != ''][not(*)]">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:attribute name="width">
<xsl:value-of select="java:org.metanorma.fop.Util.getStringWidth(., $font_main)"/> <!-- Example: 'Times New Roman' -->
</xsl:attribute>
<xsl:copy-of select="node()"/>
</xsl:copy>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="words_with_width_sorted">
<xsl:for-each select="xalan:nodeset($words_with_width)//*[local-name() = 'word']">
<xsl:sort select="@width" data-type="number" order="descending"/>
<!-- select word maximal width only -->
<xsl:if test="position() = 1">
<xsl:copy-of select="."/>
</xsl:if>
</xsl:for-each>
<!-- add 'word' with formatting tags inside -->
<xsl:for-each select="xalan:nodeset($td_text)//*[local-name() = 'word'][normalize-space() != ''][*]">
<xsl:copy-of select="."/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="words">
<xsl:for-each select=".//*[local-name() = 'image' or local-name() = 'stem']">
<word>
<xsl:copy-of select="."/>
</word>
</xsl:for-each>
<xsl:for-each select="xalan:nodeset($words_with_width_sorted)//*[local-name() = 'word'][normalize-space() != '']">
<xsl:copy-of select="."/>
</xsl:for-each>
<!-- <xsl:for-each select="xalan:nodeset($td_text)//*[local-name() = 'word'][normalize-space() != '']">
<xsl:copy-of select="."/>
</xsl:for-each> -->
</xsl:variable>
<xsl:for-each select="xalan:nodeset($words)/word">
<xsl:variable name="num" select="count(preceding-sibling::word) + 1"/>
<xsl:copy>
<xsl:attribute name="id">
<xsl:value-of select="concat($id,'@',$row_number,'_',$col_number,'_word_',$num,'_',$divide)"/>
</xsl:attribute>
<xsl:copy-of select="node()"/>
</xsl:copy>
</xsl:for-each>
</xsl:if>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th' or local-name()='td']/*[local-name() = 'p']//*" mode="simple-table-noid">
<xsl:copy>
<xsl:choose>
<xsl:when test="$isGenerateTableIF = 'true'">
<xsl:copy-of select="@*[local-name() != 'id']"/> <!-- to prevent repeat id in colspan/rowspan cells -->
<!-- <xsl:if test="local-name() = 'dl' or local-name() = 'table'">
<xsl:copy-of select="@id"/>
</xsl:if> -->
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="@*"/>
</xsl:otherwise>
</xsl:choose>
<xsl:apply-templates select="node()" mode="simple-table-noid"/>
</xsl:copy>
</xsl:template>
<!-- End mode: simple-table-id -->
<!-- ===================== -->
<!-- ===================== -->
<!-- =============================== -->
<!-- mode="td_text_with_formatting" -->
<!-- =============================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="td_text_with_formatting">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="td_text_with_formatting"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'stem' or local-name() = 'image']" mode="td_text_with_formatting"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'keep-together_within-line']/text()" mode="td_text_with_formatting">
<xsl:variable name="formatting_tags">
<xsl:call-template name="getFormattingTags"/>
</xsl:variable>
<word>
<xsl:call-template name="enclose_text_in_tags">
<xsl:with-param name="text" select="normalize-space(.)"/>
<xsl:with-param name="tags" select="$formatting_tags"/>
</xsl:call-template>
</word>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() != 'keep-together_within-line']/text()" mode="td_text_with_formatting">
<xsl:variable name="td_text" select="."/>
<xsl:variable name="string_with_added_zerospaces">
<xsl:call-template name="add-zero-spaces-java">
<xsl:with-param name="text" select="$td_text"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="formatting_tags">
<xsl:call-template name="getFormattingTags"/>
</xsl:variable>
<!-- <word>text</word> -->
<xsl:call-template name="tokenize_with_tags">
<xsl:with-param name="tags" select="$formatting_tags"/>
<xsl:with-param name="text" select="normalize-space(translate($string_with_added_zerospaces, '', ' '))"/> <!-- replace zero-width-space and soft-hyphen to space -->
</xsl:call-template>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'link'][normalize-space() = '']" mode="td_text_with_formatting">
<xsl:variable name="link">
<link_updated>
<xsl:variable name="target_text">
<xsl:choose>
<xsl:when test="starts-with(normalize-space(@target), 'mailto:')">
<xsl:value-of select="normalize-space(substring-after(@target, 'mailto:'))"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="normalize-space(@target)"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:value-of select="$target_text"/>
</link_updated>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($link)/*">
<xsl:apply-templates mode="td_text_with_formatting"/>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getFormattingTags">
<tags>
<xsl:if test="ancestor::*[local-name() = 'strong']"><tag>strong</tag></xsl:if>
<xsl:if test="ancestor::*[local-name() = 'em']"><tag>em</tag></xsl:if>
<xsl:if test="ancestor::*[local-name() = 'sub']"><tag>sub</tag></xsl:if>
<xsl:if test="ancestor::*[local-name() = 'sup']"><tag>sup</tag></xsl:if>
<xsl:if test="ancestor::*[local-name() = 'tt']"><tag>tt</tag></xsl:if>
<xsl:if test="ancestor::*[local-name() = 'sourcecode']"><tag>sourcecode</tag></xsl:if>
<xsl:if test="ancestor::*[local-name() = 'keep-together_within-line']"><tag>keep-together_within-line</tag></xsl:if>
</tags>
</xsl:template>
<!-- =============================== -->
<!-- END mode="td_text_with_formatting" -->
<!-- =============================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getLang">
<xsl:variable name="language_current" select="normalize-space(//*[local-name()='bibdata']//*[local-name()='language'][@current = 'true'])"/>
<xsl:variable name="language">
<xsl:choose>
<xsl:when test="$language_current != ''">
<xsl:value-of select="$language_current"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="language_current_2" select="normalize-space(xalan:nodeset($bibdata)//*[local-name()='bibdata']//*[local-name()='language'][@current = 'true'])"/>
<xsl:choose>
<xsl:when test="$language_current_2 != ''">
<xsl:value-of select="$language_current_2"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="language_current_3" select="normalize-space(//*[local-name()='bibdata']//*[local-name()='language'])"/>
<xsl:choose>
<xsl:when test="$language_current_3 != ''">
<xsl:value-of select="$language_current_3"/>
</xsl:when>
<xsl:otherwise>en</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:choose>
<xsl:when test="$language = 'English'">en</xsl:when>
<xsl:otherwise><xsl:value-of select="$language"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getLang_fromCurrentNode">
<xsl:variable name="language_current" select="normalize-space(.//*[local-name()='bibdata']//*[local-name()='language'][@current = 'true'])"/>
<xsl:variable name="language">
<xsl:choose>
<xsl:when test="$language_current != ''">
<xsl:value-of select="$language_current"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="language_current_2" select="normalize-space(xalan:nodeset($bibdata)//*[local-name()='bibdata']//*[local-name()='language'][@current = 'true'])"/>
<xsl:choose>
<xsl:when test="$language_current_2 != ''">
<xsl:value-of select="$language_current_2"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select=".//*[local-name()='bibdata']//*[local-name()='language']"/>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:choose>
<xsl:when test="$language = 'English'">en</xsl:when>
<xsl:otherwise><xsl:value-of select="$language"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="capitalizeWords">
<xsl:param name="str"/>
<xsl:variable name="str2" select="translate($str, '-', ' ')"/>
<xsl:choose>
<xsl:when test="contains($str2, ' ')">
<xsl:variable name="substr" select="substring-before($str2, ' ')"/>
<xsl:call-template name="capitalize">
<xsl:with-param name="str" select="$substr"/>
</xsl:call-template>
<xsl:text> </xsl:text>
<xsl:call-template name="capitalizeWords">
<xsl:with-param name="str" select="substring-after($str2, ' ')"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="capitalize">
<xsl:with-param name="str" select="$str2"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="capitalize">
<xsl:param name="str"/>
<xsl:value-of select="java:toUpperCase(java:java.lang.String.new(substring($str, 1, 1)))"/>
<xsl:value-of select="substring($str, 2)"/>
</xsl:template>
<!-- ======================================= -->
<!-- math -->
<!-- ======================================= -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:math">
<xsl:variable name="isAdded" select="@added"/>
<xsl:variable name="isDeleted" select="@deleted"/>
<fo:inline xsl:use-attribute-sets="mathml-style">
<!-- DEBUG -->
<!-- <xsl:copy-of select="ancestor::*[local-name() = 'stem']/@font-family"/> -->
<xsl:call-template name="refine_mathml-style"/>
<xsl:if test="$isGenerateTableIF = 'true' and ancestor::*[local-name() = 'td' or local-name() = 'th' or local-name() = 'dl'] and not(following-sibling::node()[not(self::comment())][normalize-space() != ''])"> <!-- math in table cell, and math is last element -->
<!-- <xsl:attribute name="padding-right">1mm</xsl:attribute> -->
</xsl:if>
<xsl:call-template name="setTrackChangesStyles">
<xsl:with-param name="isAdded" select="$isAdded"/>
<xsl:with-param name="isDeleted" select="$isDeleted"/>
</xsl:call-template>
<xsl:if test="$add_math_as_text = 'true'">
<!-- insert helper tag -->
<!-- set unique font-size (fiction) -->
<xsl:variable name="font-size_sfx"><xsl:number level="any"/></xsl:variable>
<fo:inline color="white" font-size="1.{$font-size_sfx}pt" font-style="normal" font-weight="normal"><xsl:value-of select="$zero_width_space"/></fo:inline> <!-- zero width space -->
</xsl:if>
<xsl:variable name="mathml_content">
<xsl:apply-templates select="." mode="mathml_actual_text"/>
</xsl:variable>
<xsl:call-template name="mathml_instream_object">
<xsl:with-param name="mathml_content" select="$mathml_content"/>
</xsl:call-template>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getMathml_comment_text">
<xsl:variable name="comment_text_following" select="following-sibling::node()[1][self::comment()]"/>
<xsl:variable name="comment_text_">
<xsl:choose>
<xsl:when test="normalize-space($comment_text_following) != ''">
<xsl:value-of select="$comment_text_following"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="normalize-space(translate(.,' ',' '))"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="comment_text_2" select="java:org.metanorma.fop.Util.unescape($comment_text_)"/>
<xsl:variable name="comment_text" select="java:trim(java:java.lang.String.new($comment_text_2))"/>
<xsl:value-of select="$comment_text"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'asciimath']">
<xsl:param name="process" select="'false'"/>
<xsl:if test="$process = 'true'">
<xsl:apply-templates/>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'latexmath']"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getMathml_asciimath_text">
<xsl:variable name="asciimath" select="../*[local-name() = 'asciimath']"/>
<xsl:variable name="latexmath">
</xsl:variable>
<xsl:variable name="asciimath_text_following">
<xsl:choose>
<xsl:when test="normalize-space($latexmath) != ''">
<xsl:value-of select="$latexmath"/>
</xsl:when>
<xsl:when test="normalize-space($asciimath) != ''">
<xsl:value-of select="$asciimath"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="following-sibling::node()[1][self::comment()]"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="asciimath_text_">
<xsl:choose>
<xsl:when test="normalize-space($asciimath_text_following) != ''">
<xsl:value-of select="$asciimath_text_following"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="normalize-space(translate(.,' ',' '))"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="asciimath_text_2" select="java:org.metanorma.fop.Util.unescape($asciimath_text_)"/>
<xsl:variable name="asciimath_text" select="java:trim(java:java.lang.String.new($asciimath_text_2))"/>
<xsl:value-of select="$asciimath_text"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="mathml_instream_object">
<xsl:param name="asciimath_text"/>
<xsl:param name="mathml_content"/>
<xsl:variable name="asciimath_text_">
<xsl:choose>
<xsl:when test="normalize-space($asciimath_text) != ''"><xsl:value-of select="$asciimath_text"/></xsl:when>
<!-- <xsl:otherwise><xsl:call-template name="getMathml_comment_text"/></xsl:otherwise> -->
<xsl:otherwise><xsl:call-template name="getMathml_asciimath_text"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="mathml">
<xsl:apply-templates select="." mode="mathml"/>
</xsl:variable>
<fo:instream-foreign-object fox:alt-text="Math">
<xsl:call-template name="refine_mathml_insteam_object_style"/>
<!-- put MathML in Actual Text -->
<!-- DEBUG: mathml_content=<xsl:value-of select="$mathml_content"/> -->
<xsl:attribute name="fox:actual-text">
<xsl:value-of select="$mathml_content"/>
</xsl:attribute>
<!-- <xsl:if test="$add_math_as_text = 'true'"> -->
<xsl:if test="normalize-space($asciimath_text_) != ''">
<!-- put Mathin Alternate Text -->
<xsl:attribute name="fox:alt-text">
<xsl:value-of select="$asciimath_text_"/>
</xsl:attribute>
</xsl:if>
<!-- </xsl:if> -->
<xsl:copy-of select="xalan:nodeset($mathml)"/>
</fo:instream-foreign-object>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_mathml_insteam_object_style">
</xsl:template> <!-- refine_mathml_insteam_object_style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:*" mode="mathml_actual_text">
<!-- <xsl:text>a+b</xsl:text> -->
<xsl:text><</xsl:text>
<xsl:value-of select="local-name()"/>
<xsl:if test="local-name() = 'math'">
<xsl:text> xmlns="http://www.w3.org/1998/Math/MathML"</xsl:text>
</xsl:if>
<xsl:for-each select="@*">
<xsl:text> </xsl:text>
<xsl:value-of select="local-name()"/>
<xsl:text>="</xsl:text>
<xsl:value-of select="."/>
<xsl:text>"</xsl:text>
</xsl:for-each>
<xsl:text>></xsl:text>
<xsl:apply-templates mode="mathml_actual_text"/>
<xsl:text></</xsl:text>
<xsl:value-of select="local-name()"/>
<xsl:text>></xsl:text>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()" mode="mathml_actual_text">
<xsl:value-of select="normalize-space()"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="mathml">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="mathml"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:mtext" mode="mathml">
<xsl:copy>
<!-- replace start and end spaces to non-break space -->
<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.),'(^ )|( $)',' ')"/>
</xsl:copy>
</xsl:template>
<!-- <xsl:template match="mathml:mi[. = ',' and not(following-sibling::*[1][local-name() = 'mtext' and text() = ' '])]" mode="mathml">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="mathml"/>
</xsl:copy>
<xsl:choose>
if in msub, then don't add space
<xsl:when test="ancestor::mathml:mrow[parent::mathml:msub and preceding-sibling::*[1][self::mathml:mrow]]"></xsl:when>
if next char in digit, don't add space
<xsl:when test="translate(substring(following-sibling::*[1]/text(),1,1),'0123456789','') = ''"></xsl:when>
<xsl:otherwise>
<mathml:mspace width="0.5ex"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template> -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:math/*[local-name()='unit']" mode="mathml"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:math/*[local-name()='prefix']" mode="mathml"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:math/*[local-name()='dimension']" mode="mathml"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:math/*[local-name()='quantity']" mode="mathml"/>
<!-- patch: slash in the mtd wrong rendering -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:mtd/mathml:mo/text()[. = '/']" mode="mathml">
<xsl:value-of select="."/><xsl:value-of select="$zero_width_space"/>
</xsl:template>
<!-- special case for:
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mstyle displaystyle="true">
<msup>
<mi color="#00000000">C</mi>
<mtext>R</mtext>
</msup>
<msubsup>
<mtext>C</mtext>
<mi>n</mi>
<mi>k</mi>
</msubsup>
</mstyle>
</math>
-->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:msup/mathml:mi[. = '' or . = ''][not(preceding-sibling::*)][following-sibling::mathml:mtext]" mode="mathml">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:variable name="next_mtext" select="ancestor::mathml:msup/following-sibling::*[1][self::mathml:msubsup or self::mathml:msub or self::mathml:msup]/mathml:mtext"/>
<xsl:if test="string-length($next_mtext) != ''">
<xsl:attribute name="color">#00000000</xsl:attribute>
</xsl:if>
<xsl:apply-templates/>
<xsl:value-of select="$next_mtext"/>
</xsl:copy>
</xsl:template>
<!-- special case for:
<msup>
<mtext/>
<mn>1</mn>
</msup>
convert to (add mspace after mtext and enclose them into mrow):
<msup>
<mrow>
<mtext/>
<mspace height="1.47ex"/>
</mrow>
<mn>1</mn>
</msup>
-->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:msup/mathml:mtext[not(preceding-sibling::*)]" mode="mathml">
<mathml:mrow>
<xsl:copy-of select="."/>
<mathml:mspace height="1.47ex"/>
</mathml:mrow>
</xsl:template>
<!-- add space around vertical line -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:mo[normalize-space(text()) = '|']" mode="mathml">
<xsl:copy>
<xsl:apply-templates select="@*" mode="mathml"/>
<xsl:if test="not(@lspace)">
<xsl:attribute name="lspace">0.2em</xsl:attribute>
</xsl:if>
<xsl:if test="not(@rspace) and not(following-sibling::*[1][self::mathml:mo and normalize-space(text()) = '|'])">
<xsl:attribute name="rspace">0.2em</xsl:attribute>
</xsl:if>
<xsl:apply-templates mode="mathml"/>
</xsl:copy>
</xsl:template>
<!-- decrease fontsize for 'Circled Times' char -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:mo[normalize-space(text()) = '⊗']" mode="mathml">
<xsl:copy>
<xsl:apply-templates select="@*" mode="mathml"/>
<xsl:if test="not(@fontsize)">
<xsl:attribute name="fontsize">55%</xsl:attribute>
</xsl:if>
<xsl:apply-templates mode="mathml"/>
</xsl:copy>
</xsl:template>
<!-- increase space before '(' -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="mathml:mo[normalize-space(text()) = '(']" mode="mathml">
<xsl:copy>
<xsl:apply-templates select="@*" mode="mathml"/>
<xsl:if test="(preceding-sibling::* and not(preceding-sibling::*[1][self::mathml:mo])) or (../preceding-sibling::* and not(../preceding-sibling::*[1][self::mathml:mo]))">
<xsl:if test="not(@lspace)">
<xsl:attribute name="lspace">0.4em</xsl:attribute>
<xsl:choose>
<xsl:when test="preceding-sibling::*[1][self::mathml:mi or self::mathml:mstyle]">
<xsl:attribute name="lspace">0.2em</xsl:attribute>
</xsl:when>
<xsl:when test="../preceding-sibling::*[1][self::mathml:mi or self::mathml:mstyle]">
<xsl:attribute name="lspace">0.2em</xsl:attribute>
</xsl:when>
</xsl:choose>
</xsl:if>
</xsl:if>
<xsl:apply-templates mode="mathml"/>
</xsl:copy>
</xsl:template>
<!-- Examples:
<stem type="AsciiMath">x = 1</stem>
<stem type="AsciiMath"><asciimath>x = 1</asciimath></stem>
<stem type="AsciiMath"><asciimath>x = 1</asciimath><latexmath>x = 1</latexmath></stem>
-->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'stem'][@type = 'AsciiMath'][count(*) = 0]/text() | *[local-name() = 'stem'][@type = 'AsciiMath'][*[local-name() = 'asciimath']]" priority="3">
<fo:inline xsl:use-attribute-sets="mathml-style">
<xsl:call-template name="refine_mathml-style"/>
<xsl:choose>
<xsl:when test="self::text()"><xsl:value-of select="."/></xsl:when>
<xsl:otherwise>
<xsl:apply-templates>
<xsl:with-param name="process">true</xsl:with-param>
</xsl:apply-templates>
</xsl:otherwise>
</xsl:choose>
</fo:inline>
</xsl:template>
<!-- ======================================= -->
<!-- END: math -->
<!-- ======================================= -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='localityStack']"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='link']" name="link">
<xsl:variable name="target">
<xsl:choose>
<xsl:when test="@updatetype = 'true'">
<xsl:value-of select="concat(normalize-space(@target), '.pdf')"/>
</xsl:when>
<xsl:when test="contains(@target, concat('_', $inputxml_filename_prefix, '_attachments'))">
<!-- link to the PDF attachment -->
<xsl:variable name="target_" select="translate(@target, '\', '/')"/>
<xsl:variable name="target__" select="substring-after($target_, concat('_', $inputxml_filename_prefix, '_attachments', '/'))"/>
<xsl:value-of select="concat('url(embedded-file:', $target__, ')')"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="normalize-space(@target)"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="target_text">
<xsl:choose>
<xsl:when test="starts-with(normalize-space(@target), 'mailto:')">
<xsl:value-of select="normalize-space(substring-after(@target, 'mailto:'))"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="normalize-space(@target)"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<fo:inline xsl:use-attribute-sets="link-style">
<xsl:if test="starts-with(normalize-space(@target), 'mailto:') and not(ancestor::*[local-name() = 'td'])">
<xsl:attribute name="keep-together.within-line">always</xsl:attribute>
</xsl:if>
<xsl:call-template name="refine_link-style"/>
<xsl:choose>
<xsl:when test="$target_text = ''">
<xsl:apply-templates/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link external-destination="{$target}" fox:alt-text="{$target}">
<xsl:choose>
<xsl:when test="normalize-space(.) = ''">
<xsl:call-template name="add-zero-spaces-link-java">
<xsl:with-param name="text" select="$target_text"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<!-- output text from <link>text</link> -->
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</fo:inline>
</xsl:template> <!-- link -->
<!-- ======================== -->
<!-- Appendix processing -->
<!-- ======================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='appendix']">
<fo:block id="{@id}" xsl:use-attribute-sets="appendix-style">
<xsl:apply-templates select="*[local-name()='title']"/>
</fo:block>
<xsl:apply-templates select="node()[not(local-name()='title')]"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='appendix']/*[local-name()='title']" priority="2">
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<fo:inline role="H{$level}"><xsl:apply-templates/></fo:inline>
</xsl:template>
<!-- ======================== -->
<!-- END Appendix processing -->
<!-- ======================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='appendix']//*[local-name()='example']" priority="2">
<fo:block id="{@id}" xsl:use-attribute-sets="appendix-example-style">
<xsl:apply-templates select="*[local-name()='name']"/>
</fo:block>
<xsl:apply-templates select="node()[not(local-name()='name')]"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'callout']">
<xsl:choose>
<xsl:when test="normalize-space(@target) = ''"><<xsl:apply-templates/>></xsl:when>
<xsl:otherwise><fo:basic-link internal-destination="{@target}" fox:alt-text="{@target}"><<xsl:apply-templates/>></fo:basic-link></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'annotation']">
<xsl:variable name="annotation-id" select="@id"/>
<xsl:variable name="callout" select="//*[@target = $annotation-id]/text()"/>
<fo:block id="{$annotation-id}" white-space="nowrap">
<fo:inline>
<xsl:apply-templates>
<xsl:with-param name="callout" select="concat('<', $callout, '> ')"/>
</xsl:apply-templates>
</fo:inline>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'annotation']/*[local-name() = 'p']">
<xsl:param name="callout"/>
<fo:inline id="{@id}">
<!-- for first p in annotation, put <x> -->
<xsl:if test="not(preceding-sibling::*[local-name() = 'p'])"><xsl:value-of select="$callout"/></xsl:if>
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'xref']">
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link internal-destination="{@target}" fox:alt-text="{@target}" xsl:use-attribute-sets="xref-style">
<xsl:if test="string-length(normalize-space()) < 30 and not(contains(normalize-space(), 'http://')) and not(contains(normalize-space(), 'https://')) and not(ancestor::*[local-name() = 'table' or local-name() = 'dl'])">
<xsl:attribute name="keep-together.within-line">always</xsl:attribute>
</xsl:if>
<xsl:if test="parent::*[local-name() = 'add']">
<xsl:call-template name="append_add-style"/>
</xsl:if>
<xsl:apply-templates/>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</xsl:template>
<!-- command between two xref points to non-standard bibitem -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()[. = ','][preceding-sibling::node()[1][local-name() = 'sup'][*[local-name() = 'xref'][@type = 'footnote']] and following-sibling::node()[1][local-name() = 'sup'][*[local-name() = 'xref'][@type = 'footnote']]]">
<xsl:value-of select="."/>
</xsl:template>
<!-- ====== -->
<!-- formula -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'formula']" name="formula">
<fo:block-container margin-left="0mm" role="SKIP">
<xsl:if test="parent::*[local-name() = 'note']">
<xsl:attribute name="margin-left">
<xsl:choose>
<xsl:when test="not(ancestor::*[local-name() = 'table'])"><xsl:value-of select="$note-body-indent"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$note-body-indent-table"/></xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:if>
<fo:block-container margin-left="0mm" role="SKIP">
<fo:block id="{@id}">
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/> <!-- formula's number will be process in 'stem' template -->
</fo:block>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'formula']/*[local-name() = 'dt']/*[local-name() = 'stem']">
<fo:inline>
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'admitted']/*[local-name() = 'stem']">
<fo:inline>
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'formula']/*[local-name() = 'name']"> <!-- show in 'stem' template -->
<xsl:if test="normalize-space() != ''">
<xsl:text>(</xsl:text><xsl:apply-templates/><xsl:text>)</xsl:text>
</xsl:if>
</xsl:template>
<!-- stem inside formula with name (with formula's number) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'formula'][*[local-name() = 'name']]/*[local-name() = 'stem']">
<fo:block xsl:use-attribute-sets="formula-style">
<fo:table table-layout="fixed" width="100%">
<fo:table-column column-width="95%"/>
<fo:table-column column-width="5%"/>
<fo:table-body>
<fo:table-row>
<fo:table-cell display-align="center">
<fo:block xsl:use-attribute-sets="formula-stem-block-style" role="SKIP">
<xsl:call-template name="refine_formula-stem-block-style"/>
<xsl:apply-templates/>
</fo:block>
</fo:table-cell>
<fo:table-cell display-align="center">
<fo:block xsl:use-attribute-sets="formula-stem-number-style" role="SKIP">
<xsl:call-template name="refine_formula-stem-number-style"/>
<xsl:apply-templates select="../*[local-name() = 'name']"/>
</fo:block>
</fo:table-cell>
</fo:table-row>
</fo:table-body>
</fo:table>
</fo:block>
</xsl:template>
<!-- stem inside formula without name (without formula's number) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'formula'][not(*[local-name() = 'name'])]/*[local-name() = 'stem']">
<fo:block xsl:use-attribute-sets="formula-style">
<fo:block xsl:use-attribute-sets="formula-stem-block-style">
<xsl:apply-templates/>
</fo:block>
</fo:block>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setBlockSpanAll">
<xsl:if test="@columns = 1 or (local-name() = 'p' and *[@columns = 1])"><xsl:attribute name="span">all</xsl:attribute></xsl:if>
</xsl:template>
<!-- ====== -->
<!-- note -->
<!-- termnote -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'note']" name="note">
<fo:block-container id="{@id}" xsl:use-attribute-sets="note-style" role="SKIP">
<xsl:call-template name="setBlockSpanAll"/>
<xsl:call-template name="refine_note-style"/>
<fo:block-container margin-left="0mm" margin-right="0mm" role="SKIP">
<fo:block>
<xsl:call-template name="refine_note_block_style"/>
<fo:inline xsl:use-attribute-sets="note-name-style" role="SKIP">
<xsl:call-template name="refine_note-name-style"/>
<!-- if 'p' contains all text in 'add' first and last elements in first p are 'add' -->
<!-- <xsl:if test="*[not(local-name()='name')][1][node()[normalize-space() != ''][1][local-name() = 'add'] and node()[normalize-space() != ''][last()][local-name() = 'add']]"> -->
<xsl:if test="*[not(local-name()='name')][1][count(node()[normalize-space() != '']) = 1 and *[local-name() = 'add']]">
<xsl:call-template name="append_add-style"/>
</xsl:if>
<!-- if note contains only one element and first and last childs are `add` ace-tag, then move start ace-tag before NOTE's name-->
<xsl:if test="count(*[not(local-name() = 'name')]) = 1 and *[not(local-name() = 'name')]/node()[last()][local-name() = 'add'][starts-with(text(), $ace_tag)]">
<xsl:apply-templates select="*[not(local-name() = 'name')]/node()[1][local-name() = 'add'][starts-with(text(), $ace_tag)]">
<xsl:with-param name="skip">false</xsl:with-param>
</xsl:apply-templates>
</xsl:if>
<xsl:apply-templates select="*[local-name() = 'name']"/>
</fo:inline>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_note_block_style">
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'note']/*[local-name() = 'p']">
<xsl:variable name="num"><xsl:number/></xsl:variable>
<xsl:choose>
<xsl:when test="$num = 1"> <!-- display first NOTE's paragraph in the same line with label NOTE -->
<fo:inline xsl:use-attribute-sets="note-p-style" role="SKIP">
<xsl:apply-templates/>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<fo:block xsl:use-attribute-sets="note-p-style" role="SKIP">
<xsl:apply-templates/>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termnote']">
<fo:block id="{@id}" xsl:use-attribute-sets="termnote-style">
<xsl:call-template name="setBlockSpanAll"/>
<xsl:call-template name="refine_termnote-style"/>
<fo:inline xsl:use-attribute-sets="termnote-name-style">
<xsl:if test="not(*[local-name() = 'name']/following-sibling::node()[1][self::text()][normalize-space()=''])">
<xsl:attribute name="padding-right">1mm</xsl:attribute>
</xsl:if>
<xsl:call-template name="refine_termnote-name-style"/>
<!-- if 'p' contains all text in 'add' first and last elements in first p are 'add' -->
<!-- <xsl:if test="*[not(local-name()='name')][1][node()[normalize-space() != ''][1][local-name() = 'add'] and node()[normalize-space() != ''][last()][local-name() = 'add']]"> -->
<xsl:if test="*[not(local-name()='name')][1][count(node()[normalize-space() != '']) = 1 and *[local-name() = 'add']]">
<xsl:call-template name="append_add-style"/>
</xsl:if>
<xsl:apply-templates select="*[local-name() = 'name']"/>
</fo:inline>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'note']/*[local-name() = 'name']">
<xsl:param name="sfx"/>
<xsl:variable name="suffix">
<xsl:choose>
<xsl:when test="$sfx != ''">
<xsl:value-of select="$sfx"/>
</xsl:when>
<xsl:otherwise>
<xsl:text>:</xsl:text>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:if test="normalize-space() != ''">
<xsl:apply-templates/>
<xsl:value-of select="$suffix"/>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termnote']/*[local-name() = 'name']">
<xsl:param name="sfx"/>
<xsl:variable name="suffix">
<xsl:choose>
<xsl:when test="$sfx != ''">
<xsl:value-of select="$sfx"/>
</xsl:when>
<xsl:otherwise>
<xsl:text>:</xsl:text>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:if test="normalize-space() != ''">
<xsl:apply-templates/>
<xsl:value-of select="$suffix"/>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termnote']/*[local-name() = 'p']">
<xsl:variable name="num"><xsl:number/></xsl:variable>
<xsl:choose>
<xsl:when test="$num = 1"> <!-- first paragraph renders in the same line as titlenote name -->
<fo:inline xsl:use-attribute-sets="termnote-p-style">
<xsl:apply-templates/>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<fo:block xsl:use-attribute-sets="termnote-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<!-- ====== -->
<!-- term -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'terms']">
<!-- <xsl:message>'terms' <xsl:number/> processing...</xsl:message> -->
<fo:block id="{@id}">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'term']">
<fo:block id="{@id}" xsl:use-attribute-sets="term-style">
<xsl:if test="parent::*[local-name() = 'term'] and not(preceding-sibling::*[local-name() = 'term'])">
</xsl:if>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'term']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<!-- <xsl:variable name="level">
<xsl:call-template name="getLevelTermName"/>
</xsl:variable>
<fo:inline role="H{$level}">
<xsl:apply-templates />
</fo:inline> -->
<xsl:apply-templates/>
</xsl:if>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<!-- ====== -->
<!-- figure -->
<!-- image -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']" name="figure">
<xsl:variable name="isAdded" select="@added"/>
<xsl:variable name="isDeleted" select="@deleted"/>
<fo:block-container id="{@id}" xsl:use-attribute-sets="figure-block-style">
<xsl:call-template name="refine_figure-block-style"/>
<xsl:call-template name="setTrackChangesStyles">
<xsl:with-param name="isAdded" select="$isAdded"/>
<xsl:with-param name="isDeleted" select="$isDeleted"/>
</xsl:call-template>
<!-- show figure's name BEFORE image -->
<xsl:apply-templates select="*[local-name() = 'name']"/>
<!-- Example: Dimensions in millimeters -->
<xsl:apply-templates select="*[local-name() = 'note'][@type = 'units']"/>
<fo:block xsl:use-attribute-sets="figure-style" role="SKIP">
<xsl:apply-templates select="node()[not(local-name() = 'name') and not(local-name() = 'note' and @type = 'units')]"/>
</fo:block>
<xsl:for-each select="*[local-name() = 'note'][not(@type = 'units')]">
<xsl:call-template name="note"/>
</xsl:for-each>
<xsl:call-template name="fn_display_figure"/>
</fo:block-container>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure'][@class = 'pseudocode']">
<fo:block id="{@id}">
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
<xsl:apply-templates select="*[local-name() = 'name']"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure'][@class = 'pseudocode']//*[local-name() = 'p']">
<fo:block xsl:use-attribute-sets="figure-pseudocode-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- SOURCE: ... -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']/*[local-name() = 'source']" priority="2">
<xsl:call-template name="termsource"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'image']">
<xsl:param name="indent">0</xsl:param>
<xsl:variable name="isAdded" select="../@added"/>
<xsl:variable name="isDeleted" select="../@deleted"/>
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'title'] or not(parent::*[local-name() = 'figure']) or parent::*[local-name() = 'p']"> <!-- inline image ( 'image:path' in adoc, with one colon after image) -->
<fo:inline padding-left="1mm" padding-right="1mm">
<xsl:if test="not(parent::*[local-name() = 'figure']) or parent::*[local-name() = 'p']">
<xsl:attribute name="padding-left">0mm</xsl:attribute>
<xsl:attribute name="padding-right">0mm</xsl:attribute>
</xsl:if>
<xsl:variable name="src">
<xsl:call-template name="image_src"/>
</xsl:variable>
<xsl:variable name="scale">
<xsl:call-template name="getImageScale">
<xsl:with-param name="indent" select="$indent"/>
</xsl:call-template>
</xsl:variable>
<!-- debug scale='<xsl:value-of select="$scale"/>', indent='<xsl:value-of select="$indent"/>' -->
<!-- <fo:external-graphic src="{$src}" fox:alt-text="Image {@alt}" vertical-align="middle"/> -->
<fo:external-graphic src="{$src}" fox:alt-text="Image {@alt}" vertical-align="middle">
<xsl:variable name="width">
<xsl:call-template name="setImageWidth"/>
</xsl:variable>
<xsl:if test="$width != ''">
<xsl:attribute name="width"><xsl:value-of select="$width"/></xsl:attribute>
</xsl:if>
<xsl:variable name="height">
<xsl:call-template name="setImageHeight"/>
</xsl:variable>
<xsl:if test="$height != ''">
<xsl:attribute name="height"><xsl:value-of select="$height"/></xsl:attribute>
</xsl:if>
<xsl:if test="$width = '' and $height = ''">
<xsl:if test="number($scale) < 100">
<xsl:attribute name="content-width"><xsl:value-of select="number($scale)"/>%</xsl:attribute>
<!-- <xsl:attribute name="content-width">scale-to-fit</xsl:attribute>
<xsl:attribute name="content-height">100%</xsl:attribute>
<xsl:attribute name="width">100%</xsl:attribute>
<xsl:attribute name="scaling">uniform</xsl:attribute> -->
</xsl:if>
</xsl:if>
</fo:external-graphic>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<fo:block xsl:use-attribute-sets="image-style">
<xsl:call-template name="refine_image-style"/>
<xsl:variable name="src">
<xsl:call-template name="image_src"/>
</xsl:variable>
<xsl:choose>
<xsl:when test="$isDeleted = 'true'">
<!-- enclose in svg -->
<fo:instream-foreign-object fox:alt-text="Image {@alt}">
<xsl:attribute name="width">100%</xsl:attribute>
<xsl:attribute name="content-height">100%</xsl:attribute>
<xsl:attribute name="content-width">scale-down-to-fit</xsl:attribute>
<xsl:attribute name="scaling">uniform</xsl:attribute>
<xsl:apply-templates select="." mode="cross_image"/>
</fo:instream-foreign-object>
</xsl:when>
<xsl:otherwise>
<!-- <fo:block>debug block image:
<xsl:variable name="scale">
<xsl:call-template name="getImageScale">
<xsl:with-param name="indent" select="$indent"/>
</xsl:call-template>
</xsl:variable>
<xsl:value-of select="concat('scale=', $scale,', indent=', $indent)"/>
</fo:block> -->
<fo:external-graphic src="{$src}" fox:alt-text="Image {@alt}">
<xsl:choose>
<!-- default -->
<xsl:when test="((@width = 'auto' or @width = 'text-width' or @width = 'full-page-width' or @width = 'narrow') and @height = 'auto') or (normalize-space(@width) = '' and normalize-space(@height) = '') ">
<!-- add attribute for automatic scaling -->
<xsl:variable name="image-graphic-style_attributes">
<attributes xsl:use-attribute-sets="image-graphic-style"/>
</xsl:variable>
<xsl:copy-of select="xalan:nodeset($image-graphic-style_attributes)/attributes/@*"/>
<xsl:if test="not(@mimetype = 'image/svg+xml') and not(ancestor::*[local-name() = 'table'])">
<xsl:variable name="scale">
<xsl:call-template name="getImageScale">
<xsl:with-param name="indent" select="$indent"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="scaleRatio">
1
</xsl:variable>
<xsl:if test="number($scale) < 100">
<xsl:attribute name="content-width"><xsl:value-of select="number($scale) * number($scaleRatio)"/>%</xsl:attribute>
</xsl:if>
</xsl:if>
</xsl:when> <!-- default -->
<xsl:otherwise>
<xsl:variable name="width_height_">
<attributes>
<xsl:call-template name="setImageWidthHeight"/>
</attributes>
</xsl:variable>
<xsl:variable name="width_height" select="xalan:nodeset($width_height_)"/>
<xsl:copy-of select="$width_height/attributes/@*"/>
<xsl:if test="$width_height/attributes/@content-width != '' and $width_height/attributes/@content-height != ''">
<xsl:attribute name="scaling">non-uniform</xsl:attribute>
</xsl:if>
</xsl:otherwise>
</xsl:choose>
<!--
<xsl:if test="not(@mimetype = 'image/svg+xml') and (../*[local-name() = 'name'] or parent::*[local-name() = 'figure'][@unnumbered = 'true']) and not(ancestor::*[local-name() = 'table'])">
-->
</fo:external-graphic>
</xsl:otherwise>
</xsl:choose>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setImageWidth">
<xsl:if test="@width != '' and @width != 'auto' and @width != 'text-width' and @width != 'full-page-width' and @width != 'narrow'">
<xsl:value-of select="@width"/>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setImageHeight">
<xsl:if test="@height != '' and @height != 'auto'">
<xsl:value-of select="@height"/>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setImageWidthHeight">
<xsl:variable name="width">
<xsl:call-template name="setImageWidth"/>
</xsl:variable>
<xsl:if test="$width != ''">
<xsl:attribute name="content-width">
<xsl:value-of select="$width"/>
</xsl:attribute>
</xsl:if>
<xsl:variable name="height">
<xsl:call-template name="setImageHeight"/>
</xsl:variable>
<xsl:if test="$height != ''">
<xsl:attribute name="content-height">
<xsl:value-of select="$height"/>
</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getImageScale">
<xsl:param name="indent"/>
<xsl:variable name="indent_left">
<xsl:choose>
<xsl:when test="$indent != ''"><xsl:value-of select="$indent"/></xsl:when>
<xsl:otherwise>0</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="img_src">
<xsl:choose>
<xsl:when test="not(starts-with(@src, 'data:'))"><xsl:value-of select="concat($basepath, @src)"/></xsl:when>
<xsl:otherwise><xsl:value-of select="@src"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="image_width_effective">
<xsl:value-of select="$width_effective - number($indent_left)"/>
</xsl:variable>
<!-- <xsl:message>width_effective=<xsl:value-of select="$width_effective"/></xsl:message>
<xsl:message>indent_left=<xsl:value-of select="$indent_left"/></xsl:message>
<xsl:message>image_width_effective=<xsl:value-of select="$image_width_effective"/> for <xsl:value-of select="ancestor::ogc:p[1]/@id"/></xsl:message> -->
<xsl:variable name="scale" select="java:org.metanorma.fop.Util.getImageScale($img_src, $image_width_effective, $height_effective)"/>
<xsl:value-of select="$scale"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="image_src">
<xsl:choose>
<xsl:when test="@mimetype = 'image/svg+xml' and $images/images/image[@id = current()/@id]">
<xsl:value-of select="$images/images/image[@id = current()/@id]/@src"/>
</xsl:when>
<!-- in WebP format, then convert image into PNG -->
<xsl:when test="starts-with(@src, 'data:image/webp')">
<xsl:variable name="src_png" select="java:org.metanorma.fop.utils.ImageUtils.convertWebPtoPNG(@src)"/>
<xsl:value-of select="$src_png"/>
</xsl:when>
<xsl:when test="not(starts-with(@src, 'data:')) and (java:endsWith(java:java.lang.String.new(@src), '.webp') or java:endsWith(java:java.lang.String.new(@src), '.WEBP'))">
<xsl:variable name="src_png" select="java:org.metanorma.fop.utils.ImageUtils.convertWebPtoPNG(@src)"/>
<xsl:value-of select="concat('url(file:///',$basepath, $src_png, ')')"/>
</xsl:when>
<xsl:when test="not(starts-with(@src, 'data:'))">
<xsl:value-of select="concat('url(file:///',$basepath, @src, ')')"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="@src"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'image']" mode="cross_image">
<xsl:choose>
<xsl:when test="@mimetype = 'image/svg+xml' and $images/images/image[@id = current()/@id]">
<xsl:variable name="src">
<xsl:value-of select="$images/images/image[@id = current()/@id]/@src"/>
</xsl:variable>
<xsl:variable name="width" select="document($src)/@width"/>
<xsl:variable name="height" select="document($src)/@height"/>
<svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" style="enable-background:new 0 0 595.28 841.89;" height="{$height}" width="{$width}" viewBox="0 0 {$width} {$height}" y="0px" x="0px" id="Layer_1" version="1.1">
<image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="{$src}" style="overflow:visible;"/>
</svg>
</xsl:when>
<xsl:when test="not(starts-with(@src, 'data:'))">
<xsl:variable name="src">
<xsl:value-of select="concat('url(file:///',$basepath, @src, ')')"/>
</xsl:variable>
<xsl:variable name="file" select="java:java.io.File.new(@src)"/>
<xsl:variable name="bufferedImage" select="java:javax.imageio.ImageIO.read($file)"/>
<xsl:variable name="width" select="java:getWidth($bufferedImage)"/>
<xsl:variable name="height" select="java:getHeight($bufferedImage)"/>
<svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" style="enable-background:new 0 0 595.28 841.89;" height="{$height}" width="{$width}" viewBox="0 0 {$width} {$height}" y="0px" x="0px" id="Layer_1" version="1.1">
<image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="{$src}" style="overflow:visible;"/>
</svg>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="base64String" select="substring-after(@src, 'base64,')"/>
<xsl:variable name="decoder" select="java:java.util.Base64.getDecoder()"/>
<xsl:variable name="fileContent" select="java:decode($decoder, $base64String)"/>
<xsl:variable name="bis" select="java:java.io.ByteArrayInputStream.new($fileContent)"/>
<xsl:variable name="bufferedImage" select="java:javax.imageio.ImageIO.read($bis)"/>
<xsl:variable name="width" select="java:getWidth($bufferedImage)"/>
<xsl:variable name="height" select="java:getHeight($bufferedImage)"/>
<svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" style="enable-background:new 0 0 595.28 841.89;" height="{$height}" width="{$width}" viewBox="0 0 {$width} {$height}" y="0px" x="0px" id="Layer_1" version="1.1">
<image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="{@src}" height="{$height}" width="{$width}" style="overflow:visible;"/>
<xsl:call-template name="svg_cross">
<xsl:with-param name="width" select="$width"/>
<xsl:with-param name="height" select="$height"/>
</xsl:call-template>
</svg>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="svg_cross">
<xsl:param name="width"/>
<xsl:param name="height"/>
<line xmlns="http://www.w3.org/2000/svg" x1="0" y1="0" x2="{$width}" y2="{$height}" style="stroke: rgb(255, 0, 0); stroke-width:4px; "/>
<line xmlns="http://www.w3.org/2000/svg" x1="0" y1="{$height}" x2="{$width}" y2="0" style="stroke: rgb(255, 0, 0); stroke-width:4px; "/>
</xsl:template>
<!-- =================== -->
<!-- SVG images processing -->
<!-- =================== -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="figure_name_height">14</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="width_effective" select="$pageWidth - $marginLeftRight1 - $marginLeftRight2"/><!-- paper width minus margins -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="height_effective" select="$pageHeight - $marginTop - $marginBottom - $figure_name_height"/><!-- paper height minus margins and title height -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="image_dpi" select="96"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="width_effective_px" select="$width_effective div 25.4 * $image_dpi"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="height_effective_px" select="$height_effective div 25.4 * $image_dpi"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure'][not(*[local-name() = 'image']) and *[local-name() = 'svg']]/*[local-name() = 'name']/*[local-name() = 'bookmark']" priority="2"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure'][not(*[local-name() = 'image'])]/*[local-name() = 'svg']" priority="2" name="image_svg">
<xsl:param name="name"/>
<xsl:variable name="svg_content">
<xsl:apply-templates select="." mode="svg_update"/>
</xsl:variable>
<xsl:variable name="alt-text">
<xsl:choose>
<xsl:when test="normalize-space(../*[local-name() = 'name']) != ''">
<xsl:value-of select="../*[local-name() = 'name']"/>
</xsl:when>
<xsl:when test="normalize-space($name) != ''">
<xsl:value-of select="$name"/>
</xsl:when>
<xsl:otherwise>Figure</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:choose>
<xsl:when test=".//*[local-name() = 'a'][*[local-name() = 'rect'] or *[local-name() = 'polygon'] or *[local-name() = 'circle'] or *[local-name() = 'ellipse']]">
<fo:block>
<xsl:variable name="width" select="@width"/>
<xsl:variable name="height" select="@height"/>
<xsl:variable name="scale_x">
<xsl:choose>
<xsl:when test="$width > $width_effective_px">
<xsl:value-of select="$width_effective_px div $width"/>
</xsl:when>
<xsl:otherwise>1</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="scale_y">
<xsl:choose>
<xsl:when test="$height * $scale_x > $height_effective_px">
<xsl:value-of select="$height_effective_px div ($height * $scale_x)"/>
</xsl:when>
<xsl:otherwise>1</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="scale">
<xsl:choose>
<xsl:when test="$scale_y != 1">
<xsl:value-of select="$scale_x * $scale_y"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$scale_x"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="width_scale" select="round($width * $scale)"/>
<xsl:variable name="height_scale" select="round($height * $scale)"/>
<fo:table table-layout="fixed" width="100%">
<fo:table-column column-width="proportional-column-width(1)"/>
<fo:table-column column-width="{$width_scale}px"/>
<fo:table-column column-width="proportional-column-width(1)"/>
<fo:table-body>
<fo:table-row>
<fo:table-cell column-number="2">
<fo:block>
<fo:block-container width="{$width_scale}px" height="{$height_scale}px">
<xsl:if test="../*[local-name() = 'name']/*[local-name() = 'bookmark']">
<fo:block line-height="0" font-size="0">
<xsl:for-each select="../*[local-name() = 'name']/*[local-name() = 'bookmark']">
<xsl:call-template name="bookmark"/>
</xsl:for-each>
</fo:block>
</xsl:if>
<fo:block text-depth="0" line-height="0" font-size="0">
<fo:instream-foreign-object fox:alt-text="{$alt-text}">
<xsl:attribute name="width">100%</xsl:attribute>
<xsl:attribute name="content-height">100%</xsl:attribute>
<xsl:attribute name="content-width">scale-down-to-fit</xsl:attribute>
<xsl:attribute name="scaling">uniform</xsl:attribute>
<xsl:apply-templates select="xalan:nodeset($svg_content)" mode="svg_remove_a"/>
</fo:instream-foreign-object>
</fo:block>
<xsl:apply-templates select=".//*[local-name() = 'a'][*[local-name() = 'rect'] or *[local-name() = 'polygon'] or *[local-name() = 'circle'] or *[local-name() = 'ellipse']]" mode="svg_imagemap_links">
<xsl:with-param name="scale" select="$scale"/>
</xsl:apply-templates>
</fo:block-container>
</fo:block>
</fo:table-cell>
</fo:table-row>
</fo:table-body>
</fo:table>
</fo:block>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="image_class" select="ancestor::*[local-name() = 'image']/@class"/>
<xsl:variable name="ancestor_table_cell" select="normalize-space(ancestor::*[local-name() = 'td'] or ancestor::*[local-name() = 'th'])"/>
<xsl:variable name="element">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'tr'] and $isGenerateTableIF = 'true'">
<fo:inline xsl:use-attribute-sets="image-style" text-align="left"/>
</xsl:when>
<xsl:when test="not(ancestor::*[local-name() = 'figure'])">
<fo:inline xsl:use-attribute-sets="image-style" text-align="left"/>
</xsl:when>
<xsl:otherwise>
<fo:block xsl:use-attribute-sets="image-style">
<xsl:if test="ancestor::*[local-name() = 'dt']">
<xsl:attribute name="text-align">left</xsl:attribute>
</xsl:if>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($element)/*">
<xsl:copy>
<xsl:copy-of select="@*"/>
<!-- <fo:block xsl:use-attribute-sets="image-style"> -->
<fo:instream-foreign-object fox:alt-text="{$alt-text}">
<xsl:choose>
<xsl:when test="$image_class = 'corrigenda-tag'">
<xsl:attribute name="fox:alt-text">CorrigendaTag</xsl:attribute>
<xsl:attribute name="baseline-shift">-10%</xsl:attribute>
<xsl:if test="$ancestor_table_cell = 'true'">
<xsl:attribute name="baseline-shift">-25%</xsl:attribute>
</xsl:if>
<xsl:attribute name="height">3.5mm</xsl:attribute>
</xsl:when>
<xsl:otherwise>
<xsl:if test="$isGenerateTableIF = 'false'">
<xsl:attribute name="width">100%</xsl:attribute>
</xsl:if>
<xsl:attribute name="content-height">100%</xsl:attribute>
</xsl:otherwise>
</xsl:choose>
<xsl:attribute name="content-width">scale-down-to-fit</xsl:attribute>
<xsl:variable name="svg_width_" select="xalan:nodeset($svg_content)/*/@width"/>
<xsl:variable name="svg_width" select="number(translate($svg_width_, 'px', ''))"/>
<xsl:variable name="svg_height_" select="xalan:nodeset($svg_content)/*/@height"/>
<xsl:variable name="svg_height" select="number(translate($svg_height_, 'px', ''))"/>
<!-- Example: -->
<!-- effective height 297 - 27.4 - 13 = 256.6 -->
<!-- effective width 210 - 12.5 - 25 = 172.5 -->
<!-- effective height / width = 1.48, 1.4 - with title -->
<xsl:variable name="scale_x">
<xsl:choose>
<xsl:when test="$svg_width > $width_effective_px">
<xsl:value-of select="$width_effective_px div $svg_width"/>
</xsl:when>
<xsl:otherwise>1</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="scale_y">
<xsl:choose>
<xsl:when test="$svg_height * $scale_x > $height_effective_px">
<xsl:value-of select="$height_effective_px div ($svg_height * $scale_x)"/>
</xsl:when>
<xsl:otherwise>1</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- for images with big height -->
<!-- <xsl:if test="$svg_height > ($svg_width * 1.4)">
<xsl:variable name="width" select="(($svg_width * 1.4) div $svg_height) * 100"/>
<xsl:attribute name="width"><xsl:value-of select="$width"/>%</xsl:attribute>
</xsl:if> -->
<xsl:attribute name="scaling">uniform</xsl:attribute>
<xsl:if test="$scale_y != 1">
<xsl:attribute name="content-height"><xsl:value-of select="round($scale_x * $scale_y * 100)"/>%</xsl:attribute>
</xsl:if>
<xsl:copy-of select="$svg_content"/>
</fo:instream-foreign-object>
<!-- </fo:block> -->
</xsl:copy>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ============== -->
<!-- svg_update -->
<!-- ============== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="svg_update">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="svg_update"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'image']/@href" mode="svg_update">
<xsl:attribute name="href" namespace="http://www.w3.org/1999/xlink">
<xsl:value-of select="."/>
</xsl:attribute>
</xsl:template>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="regex_starts_with_digit">^[0-9].*</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'svg'][not(@width and @height)]" mode="svg_update">
<xsl:copy>
<xsl:apply-templates select="@*" mode="svg_update"/>
<xsl:variable name="viewbox_">
<xsl:call-template name="split">
<xsl:with-param name="pText" select="@viewBox"/>
<xsl:with-param name="sep" select="' '"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="viewbox" select="xalan:nodeset($viewbox_)"/>
<xsl:variable name="width" select="normalize-space($viewbox//item[3])"/>
<xsl:variable name="height" select="normalize-space($viewbox//item[4])"/>
<xsl:variable name="parent_image_width" select="normalize-space(ancestor::*[1][local-name() = 'image']/@width)"/>
<xsl:variable name="parent_image_height" select="normalize-space(ancestor::*[1][local-name() = 'image']/@height)"/>
<xsl:attribute name="width">
<xsl:choose>
<!-- width is non 'auto', 'text-width', 'full-page-width' or 'narrow' -->
<xsl:when test="$parent_image_width != '' and normalize-space(java:matches(java:java.lang.String.new($parent_image_width), $regex_starts_with_digit)) = 'true'"><xsl:value-of select="$parent_image_width"/></xsl:when>
<xsl:when test="$width != ''">
<xsl:value-of select="round($width)"/>
</xsl:when>
<xsl:otherwise>400</xsl:otherwise> <!-- default width -->
</xsl:choose>
</xsl:attribute>
<xsl:attribute name="height">
<xsl:choose>
<!-- height non 'auto', 'text-width', 'full-page-width' or 'narrow' -->
<xsl:when test="$parent_image_height != '' and normalize-space(java:matches(java:java.lang.String.new($parent_image_height), $regex_starts_with_digit)) = 'true'"><xsl:value-of select="$parent_image_height"/></xsl:when>
<xsl:when test="$height != ''">
<xsl:value-of select="round($height)"/>
</xsl:when>
<xsl:otherwise>400</xsl:otherwise> <!-- default height -->
</xsl:choose>
</xsl:attribute>
<xsl:apply-templates mode="svg_update"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'svg']/@width" mode="svg_update">
<!-- image[@width]/svg -->
<xsl:variable name="parent_image_width" select="normalize-space(ancestor::*[2][local-name() = 'image']/@width)"/>
<xsl:attribute name="width">
<xsl:choose>
<xsl:when test="$parent_image_width != '' and normalize-space(java:matches(java:java.lang.String.new($parent_image_width), $regex_starts_with_digit)) = 'true'"><xsl:value-of select="$parent_image_width"/></xsl:when>
<xsl:otherwise><xsl:value-of select="."/></xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'svg']/@height" mode="svg_update">
<!-- image[@height]/svg -->
<xsl:variable name="parent_image_height" select="normalize-space(ancestor::*[2][local-name() = 'image']/@height)"/>
<xsl:attribute name="height">
<xsl:choose>
<xsl:when test="$parent_image_height != '' and normalize-space(java:matches(java:java.lang.String.new($parent_image_height), $regex_starts_with_digit)) = 'true'"><xsl:value-of select="$parent_image_height"/></xsl:when>
<xsl:otherwise><xsl:value-of select="."/></xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:template>
<!-- regex for 'display: inline-block;' -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="regex_svg_style_notsupported">display(\s|\h)*:(\s|\h)*inline-block(\s|\h)*;</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'svg']//*[local-name() = 'style']/text()" mode="svg_update">
<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.), $regex_svg_style_notsupported, '')"/>
</xsl:template>
<!-- replace
stroke="rgba(r, g, b, alpha)" to
stroke="rgb(r,g,b)" stroke-opacity="alpha", and
fill="rgba(r, g, b, alpha)" to
fill="rgb(r,g,b)" fill-opacity="alpha" -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*[local-name() = 'stroke' or local-name() = 'fill'][starts-with(normalize-space(.), 'rgba')]" mode="svg_update">
<xsl:variable name="components_">
<xsl:call-template name="split">
<xsl:with-param name="pText" select="substring-before(substring-after(., '('), ')')"/>
<xsl:with-param name="sep" select="','"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="components" select="xalan:nodeset($components_)"/>
<xsl:variable name="att_name" select="local-name()"/>
<xsl:attribute name="{$att_name}"><xsl:value-of select="concat('rgb(', $components/item[1], ',', $components/item[2], ',', $components/item[3], ')')"/></xsl:attribute>
<xsl:attribute name="{$att_name}-opacity"><xsl:value-of select="$components/item[4]"/></xsl:attribute>
</xsl:template>
<!-- ============== -->
<!-- END: svg_update -->
<!-- ============== -->
<!-- image with svg and emf -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']/*[local-name() = 'image'][*[local-name() = 'svg']]" priority="3">
<xsl:variable name="name" select="ancestor::*[local-name() = 'figure']/*[local-name() = 'name']"/>
<xsl:for-each select="*[local-name() = 'svg']">
<xsl:call-template name="image_svg">
<xsl:with-param name="name" select="$name"/>
</xsl:call-template>
</xsl:for-each>
</xsl:template>
<!-- For the structures like: <dt><image src="" mimetype="image/svg+xml" height="" width=""><svg xmlns="http://www.w3.org/2000/svg" ... -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() != 'figure']/*[local-name() = 'image'][*[local-name() = 'svg']]" priority="3">
<xsl:for-each select="*[local-name() = 'svg']">
<xsl:call-template name="image_svg"/>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']/*[local-name() = 'image'][@mimetype = 'image/svg+xml' and @src[not(starts-with(., 'data:image/'))]]" priority="2">
<xsl:variable name="svg_content" select="document(@src)"/>
<xsl:variable name="name" select="ancestor::*[local-name() = 'figure']/*[local-name() = 'name']"/>
<xsl:for-each select="xalan:nodeset($svg_content)/node()">
<xsl:call-template name="image_svg">
<xsl:with-param name="name" select="$name"/>
</xsl:call-template>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="svg_remove_a">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="svg_remove_a"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'a']" mode="svg_remove_a">
<xsl:apply-templates mode="svg_remove_a"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'a']" mode="svg_imagemap_links">
<xsl:param name="scale"/>
<xsl:variable name="dest">
<xsl:choose>
<xsl:when test="starts-with(@href, '#')">
<xsl:value-of select="substring-after(@href, '#')"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="@href"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:for-each select="./*[local-name() = 'rect']">
<xsl:call-template name="insertSVGMapLink">
<xsl:with-param name="left" select="floor(@x * $scale)"/>
<xsl:with-param name="top" select="floor(@y * $scale)"/>
<xsl:with-param name="width" select="floor(@width * $scale)"/>
<xsl:with-param name="height" select="floor(@height * $scale)"/>
<xsl:with-param name="dest" select="$dest"/>
</xsl:call-template>
</xsl:for-each>
<xsl:for-each select="./*[local-name() = 'polygon']">
<xsl:variable name="points">
<xsl:call-template name="split">
<xsl:with-param name="pText" select="@points"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="x_coords">
<xsl:for-each select="xalan:nodeset($points)//item[position() mod 2 = 1]">
<xsl:sort select="." data-type="number"/>
<x><xsl:value-of select="."/></x>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="y_coords">
<xsl:for-each select="xalan:nodeset($points)//item[position() mod 2 = 0]">
<xsl:sort select="." data-type="number"/>
<y><xsl:value-of select="."/></y>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="x" select="xalan:nodeset($x_coords)//x[1]"/>
<xsl:variable name="y" select="xalan:nodeset($y_coords)//y[1]"/>
<xsl:variable name="width" select="xalan:nodeset($x_coords)//x[last()] - $x"/>
<xsl:variable name="height" select="xalan:nodeset($y_coords)//y[last()] - $y"/>
<xsl:call-template name="insertSVGMapLink">
<xsl:with-param name="left" select="floor($x * $scale)"/>
<xsl:with-param name="top" select="floor($y * $scale)"/>
<xsl:with-param name="width" select="floor($width * $scale)"/>
<xsl:with-param name="height" select="floor($height * $scale)"/>
<xsl:with-param name="dest" select="$dest"/>
</xsl:call-template>
</xsl:for-each>
<xsl:for-each select="./*[local-name() = 'circle']">
<xsl:call-template name="insertSVGMapLink">
<xsl:with-param name="left" select="floor((@cx - @r) * $scale)"/>
<xsl:with-param name="top" select="floor((@cy - @r) * $scale)"/>
<xsl:with-param name="width" select="floor(@r * 2 * $scale)"/>
<xsl:with-param name="height" select="floor(@r * 2 * $scale)"/>
<xsl:with-param name="dest" select="$dest"/>
</xsl:call-template>
</xsl:for-each>
<xsl:for-each select="./*[local-name() = 'ellipse']">
<xsl:call-template name="insertSVGMapLink">
<xsl:with-param name="left" select="floor((@cx - @rx) * $scale)"/>
<xsl:with-param name="top" select="floor((@cy - @ry) * $scale)"/>
<xsl:with-param name="width" select="floor(@rx * 2 * $scale)"/>
<xsl:with-param name="height" select="floor(@ry * 2 * $scale)"/>
<xsl:with-param name="dest" select="$dest"/>
</xsl:call-template>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertSVGMapLink">
<xsl:param name="left"/>
<xsl:param name="top"/>
<xsl:param name="width"/>
<xsl:param name="height"/>
<xsl:param name="dest"/>
<fo:block-container position="absolute" left="{$left}px" top="{$top}px" width="{$width}px" height="{$height}px">
<fo:block font-size="1pt">
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link internal-destination="{$dest}" fox:alt-text="svg link">
<fo:inline-container inline-progression-dimension="100%">
<fo:block-container height="{$height - 1}px" width="100%">
<!-- DEBUG <xsl:if test="local-name()='polygon'">
<xsl:attribute name="background-color">magenta</xsl:attribute>
</xsl:if> -->
<fo:block> </fo:block></fo:block-container>
</fo:inline-container>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</fo:block>
</fo:block-container>
</xsl:template>
<!-- =================== -->
<!-- End SVG images processing -->
<!-- =================== -->
<!-- ignore emf processing (Apache FOP doesn't support EMF) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'emf']"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']/*[local-name() = 'name'] | *[local-name() = 'table']/*[local-name() = 'name'] | *[local-name() = 'permission']/*[local-name() = 'name'] | *[local-name() = 'recommendation']/*[local-name() = 'name'] | *[local-name() = 'requirement']/*[local-name() = 'name']" mode="contents">
<xsl:apply-templates mode="contents"/>
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']/*[local-name() = 'name'] | *[local-name() = 'table']/*[local-name() = 'name'] | *[local-name() = 'permission']/*[local-name() = 'name'] | *[local-name() = 'recommendation']/*[local-name() = 'name'] | *[local-name() = 'requirement']/*[local-name() = 'name'] | *[local-name() = 'sourcecode']/*[local-name() = 'name']" mode="bookmarks">
<xsl:apply-templates mode="bookmarks"/>
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure' or local-name() = 'table' or local-name() = 'permission' or local-name() = 'recommendation' or local-name() = 'requirement']/*[local-name() = 'name']/text()" mode="contents" priority="2">
<xsl:value-of select="."/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure' or local-name() = 'table' or local-name() = 'permission' or local-name() = 'recommendation' or local-name() = 'requirement' or local-name() = 'sourcecode']/*[local-name() = 'name']//text()" mode="bookmarks" priority="2">
<xsl:value-of select="."/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'add'][starts-with(., $ace_tag)]/text()" mode="bookmarks" priority="3"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="node()" mode="contents">
<xsl:apply-templates mode="contents"/>
</xsl:template>
<!-- special case: ignore preface/section-title and sections/section-title without @displayorder -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'preface' or local-name() = 'sections']/*[local-name() = 'p'][@type = 'section-title' and not(@displayorder)]" priority="3" mode="contents"/>
<!-- process them by demand (mode="contents_no_displayorder") -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'p'][@type = 'section-title' and not(@displayorder)]" mode="contents_no_displayorder">
<xsl:call-template name="contents_section-title"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'p'][@type = 'section-title']" mode="contents_in_clause">
<xsl:call-template name="contents_section-title"/>
</xsl:template>
<!-- special case: ignore section-title if @depth different than @depth of parent clause, or @depth of parent clause = 1 -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'clause']/*[local-name() = 'p'][@type = 'section-title' and (@depth != ../*[local-name() = 'title']/@depth or ../*[local-name() = 'title']/@depth = 1)]" priority="3" mode="contents"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'p'][@type = 'floating-title' or @type = 'section-title']" priority="2" name="contents_section-title" mode="contents">
<xsl:variable name="level">
<xsl:call-template name="getLevel">
<xsl:with-param name="depth" select="@depth"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="section">
<xsl:choose>
<xsl:when test="@type = 'section-title'"/>
<xsl:otherwise>
<xsl:value-of select="*[local-name() = 'tab'][1]/preceding-sibling::node()"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="type"><xsl:value-of select="@type"/></xsl:variable>
<xsl:variable name="display">
<xsl:choose>
<xsl:when test="normalize-space(@id) = ''">false</xsl:when>
<xsl:when test="$level <= $toc_level">true</xsl:when>
<xsl:otherwise>false</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="skip">false</xsl:variable>
<xsl:if test="$skip = 'false'">
<xsl:variable name="title">
<xsl:choose>
<xsl:when test="*[local-name() = 'tab']">
<xsl:choose>
<xsl:when test="@type = 'section-title'">
<xsl:value-of select="*[local-name() = 'tab'][1]/preceding-sibling::node()"/>
<xsl:text>: </xsl:text>
<xsl:copy-of select="*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="node()"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="root">
<xsl:if test="ancestor-or-self::*[local-name() = 'preface']">preface</xsl:if>
<xsl:if test="ancestor-or-self::*[local-name() = 'annex']">annex</xsl:if>
</xsl:variable>
<item id="{@id}" level="{$level}" section="{$section}" type="{$type}" root="{$root}" display="{$display}">
<title>
<xsl:apply-templates select="xalan:nodeset($title)" mode="contents_item"/>
</title>
</item>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="node()" mode="bookmarks">
<xsl:apply-templates mode="bookmarks"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'title' or local-name() = 'name']//*[local-name() = 'stem']" mode="contents">
<xsl:apply-templates select="."/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'references'][@hidden='true']" mode="contents" priority="3"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'references']/*[local-name() = 'bibitem']" mode="contents"/>
<!-- Note: to enable the addition of character span markup with semantic styling for DIS Word output -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'span']" mode="contents">
<xsl:apply-templates mode="contents"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'stem']" mode="bookmarks">
<xsl:apply-templates mode="bookmarks"/>
</xsl:template>
<!-- Note: to enable the addition of character span markup with semantic styling for DIS Word output -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'span']" mode="bookmarks">
<xsl:apply-templates mode="bookmarks"/>
</xsl:template>
<!-- Bookmarks -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="addBookmarks">
<xsl:param name="contents"/>
<xsl:variable name="contents_nodes" select="xalan:nodeset($contents)"/>
<xsl:if test="$contents_nodes//item">
<fo:bookmark-tree>
<xsl:choose>
<xsl:when test="$contents_nodes/doc">
<xsl:choose>
<xsl:when test="count($contents_nodes/doc) > 1">
<xsl:if test="$contents_nodes/collection">
<fo:bookmark internal-destination="{$contents/collection/@firstpage_id}">
<fo:bookmark-title>collection.pdf</fo:bookmark-title>
</fo:bookmark>
</xsl:if>
<xsl:for-each select="$contents_nodes/doc">
<fo:bookmark internal-destination="{contents/item[1]/@id}" starting-state="hide">
<xsl:if test="@bundle = 'true'">
<xsl:attribute name="internal-destination"><xsl:value-of select="@firstpage_id"/></xsl:attribute>
</xsl:if>
<fo:bookmark-title>
<xsl:choose>
<xsl:when test="not(normalize-space(@bundle) = 'true')"> <!-- 'bundle' means several different documents (not language versions) in one xml -->
<xsl:variable name="bookmark-title_">
<xsl:call-template name="getLangVersion">
<xsl:with-param name="lang" select="@lang"/>
<xsl:with-param name="doctype" select="@doctype"/>
<xsl:with-param name="title" select="@title-part"/>
</xsl:call-template>
</xsl:variable>
<xsl:choose>
<xsl:when test="normalize-space($bookmark-title_) != ''">
<xsl:value-of select="normalize-space($bookmark-title_)"/>
</xsl:when>
<xsl:otherwise>
<xsl:choose>
<xsl:when test="@lang = 'en'">English</xsl:when>
<xsl:when test="@lang = 'fr'">Français</xsl:when>
<xsl:when test="@lang = 'de'">Deutsche</xsl:when>
<xsl:otherwise><xsl:value-of select="@lang"/> version</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="@title-part"/>
</xsl:otherwise>
</xsl:choose>
</fo:bookmark-title>
<xsl:apply-templates select="contents/item" mode="bookmark"/>
<xsl:call-template name="insertFigureBookmarks">
<xsl:with-param name="contents" select="contents"/>
</xsl:call-template>
<xsl:call-template name="insertTableBookmarks">
<xsl:with-param name="contents" select="contents"/>
<xsl:with-param name="lang" select="@lang"/>
</xsl:call-template>
</fo:bookmark>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<xsl:for-each select="$contents_nodes/doc">
<xsl:apply-templates select="contents/item" mode="bookmark"/>
<xsl:call-template name="insertFigureBookmarks">
<xsl:with-param name="contents" select="contents"/>
</xsl:call-template>
<xsl:call-template name="insertTableBookmarks">
<xsl:with-param name="contents" select="contents"/>
<xsl:with-param name="lang" select="@lang"/>
</xsl:call-template>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="$contents_nodes/contents/item" mode="bookmark"/>
<xsl:call-template name="insertFigureBookmarks">
<xsl:with-param name="contents" select="$contents_nodes/contents"/>
</xsl:call-template>
<xsl:call-template name="insertTableBookmarks">
<xsl:with-param name="contents" select="$contents_nodes/contents"/>
<xsl:with-param name="lang" select="@lang"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</fo:bookmark-tree>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertFigureBookmarks">
<xsl:param name="contents"/>
<xsl:variable name="contents_nodes" select="xalan:nodeset($contents)"/>
<xsl:if test="$contents_nodes/figure">
<fo:bookmark internal-destination="{$contents_nodes/figure[1]/@id}" starting-state="hide">
<fo:bookmark-title>Figures</fo:bookmark-title>
<xsl:for-each select="$contents_nodes/figure">
<fo:bookmark internal-destination="{@id}">
<fo:bookmark-title>
<xsl:value-of select="normalize-space(title)"/>
</fo:bookmark-title>
</fo:bookmark>
</xsl:for-each>
</fo:bookmark>
</xsl:if>
<xsl:if test="$contents_nodes//figures/figure">
<fo:bookmark internal-destination="empty_bookmark" starting-state="hide">
<xsl:variable name="bookmark-title">
<xsl:value-of select="$title-list-figures"/>
</xsl:variable>
<fo:bookmark-title><xsl:value-of select="normalize-space($bookmark-title)"/></fo:bookmark-title>
<xsl:for-each select="$contents_nodes//figures/figure">
<fo:bookmark internal-destination="{@id}">
<fo:bookmark-title><xsl:value-of select="normalize-space(.)"/></fo:bookmark-title>
</fo:bookmark>
</xsl:for-each>
</fo:bookmark>
</xsl:if>
</xsl:template> <!-- insertFigureBookmarks -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertTableBookmarks">
<xsl:param name="contents"/>
<xsl:param name="lang"/>
<xsl:variable name="contents_nodes" select="xalan:nodeset($contents)"/>
<xsl:if test="$contents_nodes/table">
<fo:bookmark internal-destination="{$contents_nodes/table[1]/@id}" starting-state="hide">
<fo:bookmark-title>
<xsl:choose>
<xsl:when test="$lang = 'fr'">Tableaux</xsl:when>
<xsl:otherwise>Tables</xsl:otherwise>
</xsl:choose>
</fo:bookmark-title>
<xsl:for-each select="$contents_nodes/table">
<fo:bookmark internal-destination="{@id}">
<fo:bookmark-title>
<xsl:value-of select="normalize-space(title)"/>
</fo:bookmark-title>
</fo:bookmark>
</xsl:for-each>
</fo:bookmark>
</xsl:if>
<xsl:if test="$contents_nodes//tables/table">
<fo:bookmark internal-destination="empty_bookmark" starting-state="hide">
<xsl:variable name="bookmark-title">
<xsl:value-of select="$title-list-tables"/>
</xsl:variable>
<fo:bookmark-title><xsl:value-of select="$bookmark-title"/></fo:bookmark-title>
<xsl:for-each select="$contents_nodes//tables/table">
<fo:bookmark internal-destination="{@id}">
<fo:bookmark-title><xsl:value-of select="normalize-space(.)"/></fo:bookmark-title>
</fo:bookmark>
</xsl:for-each>
</fo:bookmark>
</xsl:if>
</xsl:template> <!-- insertTableBookmarks -->
<!-- End Bookmarks -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getLangVersion">
<xsl:param name="lang"/>
<xsl:param name="doctype" select="''"/>
<xsl:param name="title" select="''"/>
<xsl:choose>
<xsl:when test="$lang = 'en'">
</xsl:when>
<xsl:when test="$lang = 'fr'">
</xsl:when>
<xsl:when test="$lang = 'de'">Deutsche</xsl:when>
<xsl:otherwise><xsl:value-of select="$lang"/> version</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="item" mode="bookmark">
<xsl:choose>
<xsl:when test="@id != ''">
<fo:bookmark internal-destination="{@id}" starting-state="hide">
<fo:bookmark-title>
<xsl:if test="@section != ''">
<xsl:value-of select="@section"/>
<xsl:text> </xsl:text>
</xsl:if>
<xsl:variable name="title">
<xsl:for-each select="title/node()">
<xsl:choose>
<xsl:when test="local-name() = 'add' and starts-with(., $ace_tag)"><!-- skip --></xsl:when>
<xsl:otherwise><xsl:value-of select="."/></xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:variable>
<xsl:value-of select="normalize-space($title)"/>
</fo:bookmark-title>
<xsl:apply-templates mode="bookmark"/>
</fo:bookmark>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates mode="bookmark"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="title" mode="bookmark"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()" mode="bookmark"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']/*[local-name() = 'name'] | *[local-name() = 'image']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<fo:block xsl:use-attribute-sets="figure-name-style">
<xsl:call-template name="refine_figure-name-style"/>
<xsl:apply-templates/>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']/*[local-name() = 'fn']" priority="2"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']/*[local-name() = 'note']"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure']/*[local-name() = 'note'][@type = 'units'] | *[local-name() = 'image']/*[local-name() = 'note'][@type = 'units']" priority="2">
<fo:block text-align="right" keep-with-next="always">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'title']" mode="contents_item">
<xsl:param name="mode">bookmarks</xsl:param>
<xsl:apply-templates mode="contents_item">
<xsl:with-param name="mode" select="$mode"/>
</xsl:apply-templates>
<!-- <xsl:text> </xsl:text> -->
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getSection">
<xsl:value-of select="*[local-name() = 'title']/*[local-name() = 'tab'][1]/preceding-sibling::node()"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getName">
<xsl:choose>
<xsl:when test="*[local-name() = 'title']/*[local-name() = 'tab']">
<xsl:copy-of select="*[local-name() = 'title']/*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="*[local-name() = 'title']/node()"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertTitleAsListItem">
<xsl:param name="provisional-distance-between-starts" select="'9.5mm'"/>
<xsl:variable name="section">
<xsl:for-each select="..">
<xsl:call-template name="getSection"/>
</xsl:for-each>
</xsl:variable>
<fo:list-block provisional-distance-between-starts="{$provisional-distance-between-starts}">
<fo:list-item>
<fo:list-item-label end-indent="label-end()">
<fo:block>
<xsl:value-of select="$section"/>
</fo:block>
</fo:list-item-label>
<fo:list-item-body start-indent="body-start()">
<fo:block>
<xsl:choose>
<xsl:when test="*[local-name() = 'tab']">
<xsl:apply-templates select="*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
<xsl:apply-templates select="following-sibling::*[1][local-name() = 'variant-title'][@type = 'sub']" mode="subtitle"/>
</xsl:otherwise>
</xsl:choose>
</fo:block>
</fo:list-item-body>
</fo:list-item>
</fo:list-block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="extractSection">
<xsl:value-of select="*[local-name() = 'tab'][1]/preceding-sibling::node()"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="extractTitle">
<xsl:choose>
<xsl:when test="*[local-name() = 'tab']">
<xsl:apply-templates select="*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'fn']" mode="contents"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'fn']" mode="bookmarks"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'fn']" mode="contents_item"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'xref'] | *[local-name() = 'eref']" mode="contents">
<xsl:value-of select="."/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'review']" mode="contents_item"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'tab']" mode="contents_item">
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'strong']" mode="contents_item">
<xsl:copy>
<xsl:apply-templates mode="contents_item"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'em']" mode="contents_item">
<xsl:copy>
<xsl:apply-templates mode="contents_item"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sub']" mode="contents_item">
<xsl:copy>
<xsl:apply-templates mode="contents_item"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sup']" mode="contents_item">
<xsl:copy>
<xsl:apply-templates mode="contents_item"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'stem']" mode="contents_item">
<xsl:copy-of select="."/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'br']" mode="contents_item">
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'name']" mode="contents_item">
<xsl:param name="mode">bookmarks</xsl:param>
<xsl:apply-templates mode="contents_item">
<xsl:with-param name="mode" select="$mode"/>
</xsl:apply-templates>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'add']" mode="contents_item">
<xsl:param name="mode">bookmarks</xsl:param>
<xsl:choose>
<xsl:when test="starts-with(text(), $ace_tag)">
<xsl:if test="$mode = 'contents'">
<xsl:copy>
<xsl:apply-templates mode="contents_item"/>
</xsl:copy>
</xsl:if>
</xsl:when>
<xsl:otherwise><xsl:apply-templates mode="contents_item"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()" mode="contents_item">
<xsl:variable name="text">
<!-- to split by '_' and other chars -->
<text><xsl:call-template name="add-zero-spaces-java"/></text>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($text)/text/text()">
<xsl:call-template name="keep_together_standard_number"/>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'add'][starts-with(., $ace_tag)]/text()" mode="contents_item" priority="2">
<xsl:value-of select="."/>
</xsl:template>
<!-- Note: to enable the addition of character span markup with semantic styling for DIS Word output -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'span']" mode="contents_item">
<xsl:apply-templates mode="contents_item"/>
</xsl:template>
<!-- =============== -->
<!-- sourcecode -->
<!-- =============== -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="source-highlighter-css_" select="//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'source-highlighter-css']"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="sourcecode_css_" select="java:org.metanorma.fop.Util.parseCSS($source-highlighter-css_)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="sourcecode_css" select="xalan:nodeset($sourcecode_css_)"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'property']" mode="css">
<xsl:attribute name="{@name}">
<xsl:value-of select="@value"/>
</xsl:attribute>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="get_sourcecode_attributes">
<xsl:element name="sourcecode_attributes" use-attribute-sets="sourcecode-style">
<xsl:variable name="_font-size">
<!-- inherit -->
<!-- <xsl:if test="$namespace = 'ieee'">
<xsl:if test="$current_template = 'standard'">8</xsl:if>
</xsl:if> -->
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'table'][not(parent::*[local-name() = 'sourcecode'][@linenums = 'true'])]">inherit</xsl:when>
<xsl:otherwise>95%</xsl:otherwise><!-- 110% -->
</xsl:choose>
</xsl:variable>
<xsl:variable name="font-size" select="normalize-space($_font-size)"/>
<xsl:if test="$font-size != ''">
<xsl:attribute name="font-size">
<xsl:choose>
<xsl:when test="$font-size = 'inherit'"><xsl:value-of select="$font-size"/></xsl:when>
<xsl:when test="contains($font-size, '%')"><xsl:value-of select="$font-size"/></xsl:when>
<xsl:when test="ancestor::*[local-name()='note']"><xsl:value-of select="$font-size * 0.91"/>pt</xsl:when>
<xsl:otherwise><xsl:value-of select="$font-size"/>pt</xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="$sourcecode_css//class[@name = 'sourcecode']" mode="css"/>
</xsl:element>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='sourcecode']" name="sourcecode">
<xsl:variable name="sourcecode_attributes">
<xsl:call-template name="get_sourcecode_attributes"/>
</xsl:variable>
<!-- <xsl:copy-of select="$sourcecode_css"/> -->
<xsl:choose>
<xsl:when test="$isGenerateTableIF = 'true' and (ancestor::*[local-name() = 'td'] or ancestor::*[local-name() = 'th'])">
<xsl:for-each select="xalan:nodeset($sourcecode_attributes)/sourcecode_attributes/@*">
<xsl:attribute name="{local-name()}">
<xsl:value-of select="."/>
</xsl:attribute>
</xsl:for-each>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</xsl:when>
<xsl:otherwise>
<fo:block-container xsl:use-attribute-sets="sourcecode-container-style" role="SKIP">
<xsl:if test="not(ancestor::*[local-name() = 'li']) or ancestor::*[local-name() = 'example']">
<xsl:attribute name="margin-left">0mm</xsl:attribute>
</xsl:if>
<xsl:if test="ancestor::*[local-name() = 'example']">
<xsl:attribute name="margin-right">0mm</xsl:attribute>
</xsl:if>
<xsl:copy-of select="@id"/>
<xsl:if test="parent::*[local-name() = 'note']">
<xsl:attribute name="margin-left">
<xsl:choose>
<xsl:when test="not(ancestor::*[local-name() = 'table'])"><xsl:value-of select="$note-body-indent"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$note-body-indent-table"/></xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:if>
<fo:block-container margin-left="0mm" role="SKIP">
<xsl:apply-templates select="*[local-name()='name']"/> <!-- show sourcecode's name BEFORE content -->
<fo:block xsl:use-attribute-sets="sourcecode-style">
<xsl:for-each select="xalan:nodeset($sourcecode_attributes)/sourcecode_attributes/@*">
<xsl:attribute name="{local-name()}">
<xsl:value-of select="."/>
</xsl:attribute>
</xsl:for-each>
<xsl:call-template name="refine_sourcecode-style"/>
<!-- remove margin between rows in the table with sourcecode line numbers -->
<xsl:if test="ancestor::*[local-name() = 'sourcecode'][@linenums = 'true'] and ancestor::*[local-name() = 'tr'][1]/following-sibling::*[local-name() = 'tr']">
<xsl:attribute name="margin-top">0pt</xsl:attribute>
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="node()[not(local-name() = 'name' or local-name() = 'dl')]"/>
</fo:block>
<xsl:apply-templates select="*[local-name() = 'dl']"/> <!-- Key table -->
</fo:block-container>
</fo:block-container>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='sourcecode']/text() | *[local-name()='sourcecode']//*[local-name()='span']/text()" priority="2">
<xsl:choose>
<!-- disabled -->
<xsl:when test="1 = 2 and normalize-space($syntax-highlight) = 'true' and normalize-space(../@lang) != ''"> <!-- condition for turn on of highlighting -->
<xsl:variable name="syntax" select="java:org.metanorma.fop.Util.syntaxHighlight(., ../@lang)"/>
<xsl:choose>
<xsl:when test="normalize-space($syntax) != ''"><!-- if there is highlighted result -->
<xsl:apply-templates select="xalan:nodeset($syntax)" mode="syntax_highlight"/> <!-- process span tags -->
</xsl:when>
<xsl:otherwise> <!-- if case of non-succesfull syntax highlight (for instance, unknown lang), process without highlighting -->
<xsl:call-template name="add_spaces_to_sourcecode"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="add_spaces_to_sourcecode"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- add sourcecode highlighting -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='sourcecode']//*[local-name()='span'][@class]" priority="2">
<xsl:variable name="class" select="@class"/>
<!-- Example: <1> -->
<xsl:variable name="is_callout">
<xsl:if test="parent::*[local-name() = 'dt']">
<xsl:variable name="dt_id" select="../@id"/>
<xsl:if test="ancestor::*[local-name() = 'sourcecode']//*[local-name() = 'callout'][@target = $dt_id]">true</xsl:if>
</xsl:if>
</xsl:variable>
<xsl:choose>
<xsl:when test="$sourcecode_css//class[@name = $class]">
<fo:inline>
<xsl:apply-templates select="$sourcecode_css//class[@name = $class]" mode="css"/>
<xsl:if test="$is_callout = 'true'"><</xsl:if>
<xsl:apply-templates/>
<xsl:if test="$is_callout = 'true'">></xsl:if>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- outer table with line numbers for sourcecode -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sourcecode'][@linenums = 'true']/*[local-name()='table']" priority="2"> <!-- *[local-name()='table'][@type = 'sourcecode'] | -->
<fo:block>
<fo:table width="100%" table-layout="fixed">
<xsl:copy-of select="@id"/>
<fo:table-column column-width="8%"/>
<fo:table-column column-width="92%"/>
<fo:table-body>
<xsl:apply-templates/>
</fo:table-body>
</fo:table>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sourcecode'][@linenums = 'true']/*[local-name()='table']/*[local-name() = 'tbody']" priority="2"> <!-- *[local-name()='table'][@type = 'sourcecode']/*[local-name() = 'tbody'] | -->
<xsl:apply-templates/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sourcecode'][@linenums = 'true']/*[local-name()='table']//*[local-name()='tr']" priority="2"> <!-- *[local-name()='table'][@type = 'sourcecode']//*[local-name()='tr'] | -->
<fo:table-row>
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<!-- first td with line numbers -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sourcecode'][@linenums = 'true']/*[local-name()='table']//*[local-name()='tr']/*[local-name()='td'][not(preceding-sibling::*)]" priority="2"> <!-- *[local-name()='table'][@type = 'sourcecode'] -->
<fo:table-cell>
<fo:block>
<!-- set attibutes for line numbers - same as sourcecode -->
<xsl:variable name="sourcecode_attributes">
<xsl:for-each select="following-sibling::*[local-name() = 'td']/*[local-name() = 'sourcecode']">
<xsl:call-template name="get_sourcecode_attributes"/>
</xsl:for-each>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($sourcecode_attributes)/sourcecode_attributes/@*[not(starts-with(local-name(), 'margin-') or starts-with(local-name(), 'space-'))]">
<xsl:attribute name="{local-name()}">
<xsl:value-of select="."/>
</xsl:attribute>
</xsl:for-each>
<xsl:apply-templates/>
</fo:block>
</fo:table-cell>
</xsl:template>
<!-- second td with sourcecode -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sourcecode'][@linenums = 'true']/*[local-name()='table']//*[local-name()='tr']/*[local-name()='td'][preceding-sibling::*]" priority="2"> <!-- *[local-name()='table'][@type = 'sourcecode'] -->
<fo:table-cell>
<fo:block role="SKIP">
<xsl:apply-templates/>
</fo:block>
</fo:table-cell>
</xsl:template>
<!-- END outer table with line numbers for sourcecode -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add_spaces_to_sourcecode">
<xsl:variable name="text_step1">
<xsl:call-template name="add-zero-spaces-equal"/>
</xsl:variable>
<xsl:variable name="text_step2">
<xsl:call-template name="add-zero-spaces-java">
<xsl:with-param name="text" select="$text_step1"/>
</xsl:call-template>
</xsl:variable>
<!-- <xsl:value-of select="$text_step2"/> -->
<!-- add zero-width space after space -->
<xsl:variable name="text_step3" select="java:replaceAll(java:java.lang.String.new($text_step2),' ',' ')"/>
<!-- split text by zero-width space -->
<xsl:variable name="text_step4">
<xsl:call-template name="split_for_interspers">
<xsl:with-param name="pText" select="$text_step3"/>
<xsl:with-param name="sep" select="$zero_width_space"/>
</xsl:call-template>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($text_step4)/node()">
<xsl:choose>
<xsl:when test="local-name() = 'interspers'"> <!-- word with length more than 30 will be interspersed with zero-width space -->
<xsl:call-template name="interspers-java">
<xsl:with-param name="str" select="."/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:template> <!-- add_spaces_to_sourcecode -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="interspers_tag_open">###interspers123###</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="interspers_tag_close">###/interspers123###</xsl:variable>
<!-- split string by separator for interspers -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="split_for_interspers">
<xsl:param name="pText" select="."/>
<xsl:param name="sep" select="','"/>
<!-- word with length more than 30 will be interspersed with zero-width space -->
<xsl:variable name="regex" select="concat('([^', $zero_width_space, ']{31,})')"/> <!-- sequence of characters (more 31), that doesn't contains zero-width space -->
<xsl:variable name="text" select="java:replaceAll(java:java.lang.String.new($pText),$regex,concat($interspers_tag_open,'$1',$interspers_tag_close))"/>
<xsl:call-template name="replace_tag_interspers">
<xsl:with-param name="text" select="$text"/>
</xsl:call-template>
</xsl:template> <!-- end: split string by separator for interspers -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="replace_tag_interspers">
<xsl:param name="text"/>
<xsl:choose>
<xsl:when test="contains($text, $interspers_tag_open)">
<xsl:value-of select="substring-before($text, $interspers_tag_open)"/>
<xsl:variable name="text_after" select="substring-after($text, $interspers_tag_open)"/>
<interspers>
<xsl:value-of select="substring-before($text_after, $interspers_tag_close)"/>
</interspers>
<xsl:call-template name="replace_tag_interspers">
<xsl:with-param name="text" select="substring-after($text_after, $interspers_tag_close)"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise><xsl:value-of select="$text"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- insert 'char' between each character in the string -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="interspers">
<xsl:param name="str"/>
<xsl:param name="char" select="$zero_width_space"/>
<xsl:if test="$str != ''">
<xsl:value-of select="substring($str, 1, 1)"/>
<xsl:variable name="next_char" select="substring($str, 2, 1)"/>
<xsl:if test="not(contains(concat(' -.:=_— ', $char), $next_char))">
<xsl:value-of select="$char"/>
</xsl:if>
<xsl:call-template name="interspers">
<xsl:with-param name="str" select="substring($str, 2)"/>
<xsl:with-param name="char" select="$char"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="interspers-java">
<xsl:param name="str"/>
<xsl:param name="char" select="$zero_width_space"/>
<xsl:value-of select="java:replaceAll(java:java.lang.String.new($str),'([^ -.:=_—])',concat('$1', $char))"/> <!-- insert $char after each char excep space, - . : = _ etc. -->
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*" mode="syntax_highlight">
<xsl:apply-templates mode="syntax_highlight"/>
</xsl:template>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="syntax_highlight_styles_">
<style class="hljs-addition" xsl:use-attribute-sets="hljs-addition"/>
<style class="hljs-attr" xsl:use-attribute-sets="hljs-attr"/>
<style class="hljs-attribute" xsl:use-attribute-sets="hljs-attribute"/>
<style class="hljs-built_in" xsl:use-attribute-sets="hljs-built_in"/>
<style class="hljs-bullet" xsl:use-attribute-sets="hljs-bullet"/>
<style class="hljs-char_and_escape_" xsl:use-attribute-sets="hljs-char_and_escape_"/>
<style class="hljs-code" xsl:use-attribute-sets="hljs-code"/>
<style class="hljs-comment" xsl:use-attribute-sets="hljs-comment"/>
<style class="hljs-deletion" xsl:use-attribute-sets="hljs-deletion"/>
<style class="hljs-doctag" xsl:use-attribute-sets="hljs-doctag"/>
<style class="hljs-emphasis" xsl:use-attribute-sets="hljs-emphasis"/>
<style class="hljs-formula" xsl:use-attribute-sets="hljs-formula"/>
<style class="hljs-keyword" xsl:use-attribute-sets="hljs-keyword"/>
<style class="hljs-link" xsl:use-attribute-sets="hljs-link"/>
<style class="hljs-literal" xsl:use-attribute-sets="hljs-literal"/>
<style class="hljs-meta" xsl:use-attribute-sets="hljs-meta"/>
<style class="hljs-meta_hljs-string" xsl:use-attribute-sets="hljs-meta_hljs-string"/>
<style class="hljs-meta_hljs-keyword" xsl:use-attribute-sets="hljs-meta_hljs-keyword"/>
<style class="hljs-name" xsl:use-attribute-sets="hljs-name"/>
<style class="hljs-number" xsl:use-attribute-sets="hljs-number"/>
<style class="hljs-operator" xsl:use-attribute-sets="hljs-operator"/>
<style class="hljs-params" xsl:use-attribute-sets="hljs-params"/>
<style class="hljs-property" xsl:use-attribute-sets="hljs-property"/>
<style class="hljs-punctuation" xsl:use-attribute-sets="hljs-punctuation"/>
<style class="hljs-quote" xsl:use-attribute-sets="hljs-quote"/>
<style class="hljs-regexp" xsl:use-attribute-sets="hljs-regexp"/>
<style class="hljs-section" xsl:use-attribute-sets="hljs-section"/>
<style class="hljs-selector-attr" xsl:use-attribute-sets="hljs-selector-attr"/>
<style class="hljs-selector-class" xsl:use-attribute-sets="hljs-selector-class"/>
<style class="hljs-selector-id" xsl:use-attribute-sets="hljs-selector-id"/>
<style class="hljs-selector-pseudo" xsl:use-attribute-sets="hljs-selector-pseudo"/>
<style class="hljs-selector-tag" xsl:use-attribute-sets="hljs-selector-tag"/>
<style class="hljs-string" xsl:use-attribute-sets="hljs-string"/>
<style class="hljs-strong" xsl:use-attribute-sets="hljs-strong"/>
<style class="hljs-subst" xsl:use-attribute-sets="hljs-subst"/>
<style class="hljs-symbol" xsl:use-attribute-sets="hljs-symbol"/>
<style class="hljs-tag" xsl:use-attribute-sets="hljs-tag"/>
<!-- <style class="hljs-tag_hljs-attr" xsl:use-attribute-sets="hljs-tag_hljs-attr"></style> -->
<!-- <style class="hljs-tag_hljs-name" xsl:use-attribute-sets="hljs-tag_hljs-name"></style> -->
<style class="hljs-template-tag" xsl:use-attribute-sets="hljs-template-tag"/>
<style class="hljs-template-variable" xsl:use-attribute-sets="hljs-template-variable"/>
<style class="hljs-title" xsl:use-attribute-sets="hljs-title"/>
<style class="hljs-title_and_class_" xsl:use-attribute-sets="hljs-title_and_class_"/>
<style class="hljs-title_and_class__and_inherited__" xsl:use-attribute-sets="hljs-title_and_class__and_inherited__"/>
<style class="hljs-title_and_function_" xsl:use-attribute-sets="hljs-title_and_function_"/>
<style class="hljs-type" xsl:use-attribute-sets="hljs-type"/>
<style class="hljs-variable" xsl:use-attribute-sets="hljs-variable"/>
<style class="hljs-variable_and_language_" xsl:use-attribute-sets="hljs-variable_and_language_"/>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="syntax_highlight_styles" select="xalan:nodeset($syntax_highlight_styles_)"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="span" mode="syntax_highlight" priority="2">
<!-- <fo:inline color="green" font-style="italic"><xsl:apply-templates mode="syntax_highlight"/></fo:inline> -->
<fo:inline>
<xsl:variable name="classes_">
<xsl:call-template name="split">
<xsl:with-param name="pText" select="@class"/>
<xsl:with-param name="sep" select="' '"/>
</xsl:call-template>
<!-- a few classes together (_and_ suffix) -->
<xsl:if test="contains(@class, 'hljs-char') and contains(@class, 'escape_')">
<item>hljs-char_and_escape_</item>
</xsl:if>
<xsl:if test="contains(@class, 'hljs-title') and contains(@class, 'class_')">
<item>hljs-title_and_class_</item>
</xsl:if>
<xsl:if test="contains(@class, 'hljs-title') and contains(@class, 'class_') and contains(@class, 'inherited__')">
<item>hljs-title_and_class__and_inherited__</item>
</xsl:if>
<xsl:if test="contains(@class, 'hljs-title') and contains(@class, 'function_')">
<item>hljs-title_and_function_</item>
</xsl:if>
<xsl:if test="contains(@class, 'hljs-variable') and contains(@class, 'language_')">
<item>hljs-variable_and_language_</item>
</xsl:if>
<!-- with parent classes (_ suffix) -->
<xsl:if test="contains(@class, 'hljs-keyword') and contains(ancestor::*/@class, 'hljs-meta')">
<item>hljs-meta_hljs-keyword</item>
</xsl:if>
<xsl:if test="contains(@class, 'hljs-string') and contains(ancestor::*/@class, 'hljs-meta')">
<item>hljs-meta_hljs-string</item>
</xsl:if>
</xsl:variable>
<xsl:variable name="classes" select="xalan:nodeset($classes_)"/>
<xsl:for-each select="$classes/item">
<xsl:variable name="class_name" select="."/>
<xsl:for-each select="$syntax_highlight_styles/style[@class = $class_name]/@*[not(local-name() = 'class')]">
<xsl:attribute name="{local-name()}"><xsl:value-of select="."/></xsl:attribute>
</xsl:for-each>
</xsl:for-each>
<!-- <xsl:variable name="class_name">
<xsl:choose>
<xsl:when test="@class = 'hljs-attr' and ancestor::*/@class = 'hljs-tag'">hljs-tag_hljs-attr</xsl:when>
<xsl:when test="@class = 'hljs-name' and ancestor::*/@class = 'hljs-tag'">hljs-tag_hljs-name</xsl:when>
<xsl:when test="@class = 'hljs-string' and ancestor::*/@class = 'hljs-meta'">hljs-meta_hljs-string</xsl:when>
<xsl:otherwise><xsl:value-of select="@class"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:for-each select="$syntax_highlight_styles/style[@class = $class_name]/@*[not(local-name() = 'class')]">
<xsl:attribute name="{local-name()}"><xsl:value-of select="."/></xsl:attribute>
</xsl:for-each> -->
<xsl:apply-templates mode="syntax_highlight"/></fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()" mode="syntax_highlight" priority="2">
<xsl:call-template name="add_spaces_to_sourcecode"/>
</xsl:template>
<!-- end mode="syntax_highlight" -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sourcecode']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<fo:block xsl:use-attribute-sets="sourcecode-name-style">
<xsl:apply-templates/>
</fo:block>
</xsl:if>
</xsl:template>
<!-- =============== -->
<!-- END sourcecode -->
<!-- =============== -->
<!-- =============== -->
<!-- pre -->
<!-- =============== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='pre']" name="pre">
<fo:block xsl:use-attribute-sets="pre-style">
<xsl:copy-of select="@id"/>
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'sourcecode'][@linenums = 'true'] and ancestor::*[local-name()='td'][1][not(preceding-sibling::*)]"> <!-- pre in the first td in the table with @linenums = 'true' -->
<xsl:if test="ancestor::*[local-name() = 'tr'][1]/following-sibling::*[local-name() = 'tr']"> <!-- is current tr isn't last -->
<xsl:attribute name="margin-top">0pt</xsl:attribute>
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
<fo:instream-foreign-object fox:alt-text="{.}" content-width="95%">
<math xmlns="http://www.w3.org/1998/Math/MathML">
<mtext><xsl:value-of select="."/></mtext>
</math>
</fo:instream-foreign-object>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</fo:block>
</xsl:template>
<!-- =============== -->
<!-- pre -->
<!-- =============== -->
<!-- ========== -->
<!-- permission -->
<!-- ========== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'permission']">
<fo:block id="{@id}" xsl:use-attribute-sets="permission-style">
<xsl:apply-templates select="*[local-name()='name']"/>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'permission']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<fo:block xsl:use-attribute-sets="permission-name-style">
<xsl:apply-templates/>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'permission']/*[local-name() = 'label']">
<fo:block xsl:use-attribute-sets="permission-label-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ========== -->
<!-- ========== -->
<!-- ========== -->
<!-- requirement -->
<!-- ========== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'requirement']">
<fo:block id="{@id}" xsl:use-attribute-sets="requirement-style">
<xsl:apply-templates select="*[local-name()='name']"/>
<xsl:apply-templates select="*[local-name()='label']"/>
<xsl:apply-templates select="@obligation"/>
<xsl:apply-templates select="*[local-name()='subject']"/>
<xsl:apply-templates select="node()[not(local-name() = 'name') and not(local-name() = 'label') and not(local-name() = 'subject')]"/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'requirement']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<fo:block xsl:use-attribute-sets="requirement-name-style">
<xsl:apply-templates/>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'requirement']/*[local-name() = 'label']">
<fo:block xsl:use-attribute-sets="requirement-label-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'requirement']/@obligation">
<fo:block>
<fo:inline padding-right="3mm">Obligation</fo:inline><xsl:value-of select="."/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'requirement']/*[local-name() = 'subject']" priority="2">
<fo:block xsl:use-attribute-sets="subject-style">
<xsl:text>Target Type </xsl:text><xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ========== -->
<!-- ========== -->
<!-- ========== -->
<!-- recommendation -->
<!-- ========== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'recommendation']">
<fo:block id="{@id}" xsl:use-attribute-sets="recommendation-style">
<xsl:apply-templates select="*[local-name()='name']"/>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'recommendation']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<fo:block xsl:use-attribute-sets="recommendation-name-style">
<xsl:apply-templates/>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'recommendation']/*[local-name() = 'label']">
<fo:block xsl:use-attribute-sets="recommendation-label-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ========== -->
<!-- END recommendation -->
<!-- ========== -->
<!-- ========== -->
<!-- ========== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'subject']">
<fo:block xsl:use-attribute-sets="subject-style">
<xsl:text>Target Type </xsl:text><xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'div']">
<fo:block><xsl:apply-templates/></fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'inherit'] | *[local-name() = 'component'][@class = 'inherit'] | *[local-name() = 'div'][@type = 'requirement-inherit'] | *[local-name() = 'div'][@type = 'recommendation-inherit'] | *[local-name() = 'div'][@type = 'permission-inherit']">
<fo:block xsl:use-attribute-sets="inherit-style">
<xsl:text>Dependency </xsl:text><xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'description'] | *[local-name() = 'component'][@class = 'description'] | *[local-name() = 'div'][@type = 'requirement-description'] | *[local-name() = 'div'][@type = 'recommendation-description'] | *[local-name() = 'div'][@type = 'permission-description']">
<fo:block xsl:use-attribute-sets="description-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'specification'] | *[local-name() = 'component'][@class = 'specification'] | *[local-name() = 'div'][@type = 'requirement-specification'] | *[local-name() = 'div'][@type = 'recommendation-specification'] | *[local-name() = 'div'][@type = 'permission-specification']">
<fo:block xsl:use-attribute-sets="specification-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'measurement-target'] | *[local-name() = 'component'][@class = 'measurement-target'] | *[local-name() = 'div'][@type = 'requirement-measurement-target'] | *[local-name() = 'div'][@type = 'recommendation-measurement-target'] | *[local-name() = 'div'][@type = 'permission-measurement-target']">
<fo:block xsl:use-attribute-sets="measurement-target-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'verification'] | *[local-name() = 'component'][@class = 'verification'] | *[local-name() = 'div'][@type = 'requirement-verification'] | *[local-name() = 'div'][@type = 'recommendation-verification'] | *[local-name() = 'div'][@type = 'permission-verification']">
<fo:block xsl:use-attribute-sets="verification-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'import'] | *[local-name() = 'component'][@class = 'import'] | *[local-name() = 'div'][@type = 'requirement-import'] | *[local-name() = 'div'][@type = 'recommendation-import'] | *[local-name() = 'div'][@type = 'permission-import']">
<fo:block xsl:use-attribute-sets="import-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'div'][starts-with(@type, 'requirement-component')] | *[local-name() = 'div'][starts-with(@type, 'recommendation-component')] | *[local-name() = 'div'][starts-with(@type, 'permission-component')]">
<fo:block xsl:use-attribute-sets="component-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ========== -->
<!-- END -->
<!-- ========== -->
<!-- ========== -->
<!-- requirement, recommendation, permission table -->
<!-- ========== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'table'][@class = 'recommendation' or @class='requirement' or @class='permission']">
<fo:block-container margin-left="0mm" margin-right="0mm" margin-bottom="12pt" role="SKIP">
<xsl:if test="ancestor::*[local-name() = 'table'][@class = 'recommendation' or @class='requirement' or @class='permission']">
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
<fo:block-container margin-left="0mm" margin-right="0mm" role="SKIP">
<fo:table id="{@id}" table-layout="fixed" width="100%"> <!-- border="1pt solid black" -->
<xsl:if test="ancestor::*[local-name() = 'table'][@class = 'recommendation' or @class='requirement' or @class='permission']">
<!-- <xsl:attribute name="border">0.5pt solid black</xsl:attribute> -->
</xsl:if>
<xsl:variable name="simple-table">
<xsl:call-template name="getSimpleTable">
<xsl:with-param name="id" select="@id"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="cols-count" select="count(xalan:nodeset($simple-table)//tr[1]/td)"/>
<xsl:if test="$cols-count = 2 and not(ancestor::*[local-name()='table'])">
<fo:table-column column-width="30%"/>
<fo:table-column column-width="70%"/>
</xsl:if>
<xsl:apply-templates mode="requirement"/>
</fo:table>
<!-- fn processing -->
<xsl:if test=".//*[local-name() = 'fn']">
<xsl:for-each select="*[local-name() = 'tbody']">
<fo:block font-size="90%" border-bottom="1pt solid black">
<xsl:call-template name="table_fn_display"/>
</fo:block>
</xsl:for-each>
</xsl:if>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='thead']" mode="requirement">
<fo:table-header>
<xsl:apply-templates mode="requirement"/>
</fo:table-header>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tbody']" mode="requirement">
<fo:table-body>
<xsl:apply-templates mode="requirement"/>
</fo:table-body>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='tr']" mode="requirement">
<fo:table-row height="7mm" border-bottom="0.5pt solid grey">
<xsl:if test="parent::*[local-name()='thead'] or starts-with(*[local-name()='td' or local-name()='th'][1], 'Requirement ') or starts-with(*[local-name()='td' or local-name()='th'][1], 'Recommendation ')">
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:if>
<xsl:apply-templates mode="requirement"/>
</fo:table-row>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='th']" mode="requirement">
<fo:table-cell text-align="{@align}" display-align="center" padding="1mm" padding-left="2mm"> <!-- border="0.5pt solid black" -->
<xsl:call-template name="setTextAlignment">
<xsl:with-param name="default">left</xsl:with-param>
</xsl:call-template>
<xsl:call-template name="setTableCellAttributes"/>
<fo:block role="SKIP">
<xsl:apply-templates/>
</fo:block>
</fo:table-cell>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='td']" mode="requirement">
<fo:table-cell text-align="{@align}" display-align="center" padding="1mm" padding-left="2mm"> <!-- border="0.5pt solid black" -->
<xsl:if test="*[local-name() = 'table'][@class = 'recommendation' or @class='requirement' or @class='permission']">
<xsl:attribute name="padding">0mm</xsl:attribute>
<xsl:attribute name="padding-left">0mm</xsl:attribute>
</xsl:if>
<xsl:call-template name="setTextAlignment">
<xsl:with-param name="default">left</xsl:with-param>
</xsl:call-template>
<xsl:if test="following-sibling::*[local-name()='td'] and not(preceding-sibling::*[local-name()='td'])">
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:if>
<xsl:call-template name="setTableCellAttributes"/>
<fo:block role="SKIP">
<xsl:apply-templates/>
</fo:block>
</fo:table-cell>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'p'][@class='RecommendationTitle' or @class = 'RecommendationTestTitle']" priority="2">
<fo:block font-size="11pt">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'p2'][ancestor::*[local-name() = 'table'][@class = 'recommendation' or @class='requirement' or @class='permission']]">
<fo:block>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ========== -->
<!-- END requirement, recommendation, permission table -->
<!-- ========== -->
<!-- ====== -->
<!-- termexample -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termexample']">
<fo:block id="{@id}" xsl:use-attribute-sets="termexample-style">
<xsl:call-template name="refine_termexample-style"/>
<xsl:call-template name="setBlockSpanAll"/>
<xsl:apply-templates select="*[local-name()='name']"/>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termexample']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<fo:inline xsl:use-attribute-sets="termexample-name-style">
<xsl:call-template name="refine_termexample-name-style"/>
<xsl:apply-templates/>:
</fo:inline>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termexample']/*[local-name() = 'p']">
<xsl:variable name="element">inline
</xsl:variable>
<xsl:choose>
<xsl:when test="contains($element, 'block')">
<fo:block xsl:use-attribute-sets="example-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:when>
<xsl:otherwise>
<fo:inline><xsl:apply-templates/></fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<!-- ====== -->
<!-- example -->
<!-- ====== -->
<!-- There are a few cases:
1. EXAMPLE text
2. EXAMPLE
text
3. EXAMPLE text line 1
text line 2
4. EXAMPLE
text line 1
text line 2
-->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'example']">
<fo:block-container id="{@id}" xsl:use-attribute-sets="example-style" role="SKIP">
<xsl:call-template name="setBlockSpanAll"/>
<xsl:call-template name="refine_example-style"/>
<xsl:variable name="fo_element">
<xsl:if test=".//*[local-name() = 'table'] or .//*[local-name() = 'dl'] or *[not(local-name() = 'name')][1][local-name() = 'sourcecode']">block</xsl:if>
inline
</xsl:variable>
<fo:block-container margin-left="0mm" role="SKIP">
<xsl:choose>
<xsl:when test="contains(normalize-space($fo_element), 'block')">
<!-- display name 'EXAMPLE' in a separate block -->
<fo:block>
<xsl:apply-templates select="*[local-name()='name']">
<xsl:with-param name="fo_element" select="$fo_element"/>
</xsl:apply-templates>
</fo:block>
<fo:block-container xsl:use-attribute-sets="example-body-style" role="SKIP">
<fo:block-container margin-left="0mm" margin-right="0mm" role="SKIP">
<xsl:apply-templates select="node()[not(local-name() = 'name')]">
<xsl:with-param name="fo_element" select="$fo_element"/>
</xsl:apply-templates>
</fo:block-container>
</fo:block-container>
</xsl:when> <!-- end block -->
<xsl:when test="contains(normalize-space($fo_element), 'list')">
<xsl:variable name="provisional_distance_between_starts">
7
</xsl:variable>
<xsl:variable name="indent">
0
</xsl:variable>
<fo:list-block provisional-distance-between-starts="{$provisional_distance_between_starts}mm">
<fo:list-item>
<fo:list-item-label start-indent="{$indent}mm" end-indent="label-end()">
<fo:block>
<xsl:apply-templates select="*[local-name()='name']">
<xsl:with-param name="fo_element">block</xsl:with-param>
</xsl:apply-templates>
</fo:block>
</fo:list-item-label>
<fo:list-item-body start-indent="body-start()">
<fo:block>
<xsl:apply-templates select="node()[not(local-name() = 'name')]">
<xsl:with-param name="fo_element" select="$fo_element"/>
</xsl:apply-templates>
</fo:block>
</fo:list-item-body>
</fo:list-item>
</fo:list-block>
</xsl:when> <!-- end list -->
<xsl:otherwise> <!-- inline -->
<!-- display 'EXAMPLE' and first element in the same line -->
<fo:block>
<xsl:apply-templates select="*[local-name()='name']">
<xsl:with-param name="fo_element" select="$fo_element"/>
</xsl:apply-templates>
<fo:inline>
<xsl:apply-templates select="*[not(local-name() = 'name')][1]">
<xsl:with-param name="fo_element" select="$fo_element"/>
</xsl:apply-templates>
</fo:inline>
</fo:block>
<xsl:if test="*[not(local-name() = 'name')][position() > 1]">
<!-- display further elements in blocks -->
<fo:block-container xsl:use-attribute-sets="example-body-style" role="SKIP">
<fo:block-container margin-left="0mm" margin-right="0mm" role="SKIP">
<xsl:apply-templates select="*[not(local-name() = 'name')][position() > 1]">
<xsl:with-param name="fo_element" select="'block'"/>
</xsl:apply-templates>
</fo:block-container>
</fo:block-container>
</xsl:if>
</xsl:otherwise> <!-- end inline -->
</xsl:choose>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'example']/*[local-name() = 'name']">
<xsl:param name="fo_element">block</xsl:param>
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'appendix']">
<fo:inline>
<xsl:apply-templates/>
</fo:inline>
</xsl:when>
<xsl:when test="contains(normalize-space($fo_element), 'block')">
<fo:block xsl:use-attribute-sets="example-name-style">
<xsl:apply-templates/>
</fo:block>
</xsl:when>
<xsl:otherwise>
<fo:inline xsl:use-attribute-sets="example-name-style">
<xsl:call-template name="refine_example-name-style"/>
<xsl:apply-templates/>:
</fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'table']/*[local-name() = 'example']/*[local-name() = 'name']">
<fo:inline xsl:use-attribute-sets="example-name-style">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'example']/*[local-name() = 'p']">
<xsl:param name="fo_element">block</xsl:param>
<xsl:variable name="num"><xsl:number/></xsl:variable>
<xsl:variable name="element">
<xsl:choose>
<xsl:when test="$num = 1 and not(contains($fo_element, 'block'))">inline</xsl:when>
<xsl:otherwise>block</xsl:otherwise>
</xsl:choose>
<xsl:value-of select="$fo_element"/>
</xsl:variable>
<xsl:choose>
<xsl:when test="starts-with(normalize-space($element), 'block')">
<fo:block-container role="SKIP">
<xsl:if test="ancestor::*[local-name() = 'li'] and contains(normalize-space($fo_element), 'block')">
<xsl:attribute name="margin-left">0mm</xsl:attribute>
<xsl:attribute name="margin-right">0mm</xsl:attribute>
</xsl:if>
<fo:block xsl:use-attribute-sets="example-p-style">
<xsl:call-template name="refine_example-p-style"/>
<xsl:apply-templates/>
</fo:block>
</fo:block-container>
</xsl:when>
<xsl:when test="starts-with(normalize-space($element), 'list')">
<fo:block xsl:use-attribute-sets="example-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:when>
<xsl:otherwise>
<fo:inline xsl:use-attribute-sets="example-p-style">
<xsl:apply-templates/>
</fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- example/p -->
<!-- ====== -->
<!-- ====== -->
<!-- ====== -->
<!-- termsource -->
<!-- origin -->
<!-- modification -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termsource']" name="termsource">
<fo:block xsl:use-attribute-sets="termsource-style">
<xsl:call-template name="refine_termsource-style"/>
<!-- Example: [SOURCE: ISO 5127:2017, 3.1.6.02] -->
<xsl:variable name="termsource_text">
<xsl:apply-templates/>
</xsl:variable>
<xsl:copy-of select="$termsource_text"/>
<!-- <xsl:choose>
<xsl:when test="starts-with(normalize-space($termsource_text), '[')">
<xsl:copy-of select="$termsource_text"/>
</xsl:when>
<xsl:otherwise>
<xsl:if test="$namespace = 'bsi'">
<xsl:choose>
<xsl:when test="$document_type = 'PAS' and starts-with(*[local-name() = 'origin']/@citeas, '[')"><xsl:text>{</xsl:text></xsl:when>
<xsl:otherwise><xsl:text>[</xsl:text></xsl:otherwise>
</xsl:choose>
</xsl:if>
<xsl:if test="$namespace = 'gb' or $namespace = 'iso' or $namespace = 'iec' or $namespace = 'itu' or $namespace = 'unece' or $namespace = 'unece-rec' or $namespace = 'nist-cswp' or $namespace = 'nist-sp' or $namespace = 'ogc-white-paper' or $namespace = 'csa' or $namespace = 'csd' or $namespace = 'm3d' or $namespace = 'iho' or $namespace = 'bipm' or $namespace = 'jcgm'">
<xsl:text>[</xsl:text>
</xsl:if>
<xsl:copy-of select="$termsource_text"/>
<xsl:if test="$namespace = 'bsi'">
<xsl:choose>
<xsl:when test="$document_type = 'PAS' and starts-with(*[local-name() = 'origin']/@citeas, '[')"><xsl:text>}</xsl:text></xsl:when>
<xsl:otherwise><xsl:text>]</xsl:text></xsl:otherwise>
</xsl:choose>
</xsl:if>
<xsl:if test="$namespace = 'gb' or $namespace = 'iso' or $namespace = 'iec' or $namespace = 'itu' or $namespace = 'unece' or $namespace = 'unece-rec' or $namespace = 'nist-cswp' or $namespace = 'nist-sp' or $namespace = 'ogc-white-paper' or $namespace = 'csa' or $namespace = 'csd' or $namespace = 'm3d' or $namespace = 'iho' or $namespace = 'bipm' or $namespace = 'jcgm'">
<xsl:text>]</xsl:text>
</xsl:if>
</xsl:otherwise>
</xsl:choose> -->
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termsource']/text()[starts-with(., '[SOURCE: Adapted from: ') or starts-with(., '[SOURCE: Quoted from: ') or starts-with(., '[SOURCE: Modified from: ')]" priority="2">
<xsl:text>[</xsl:text><xsl:value-of select="substring-after(., '[SOURCE: ')"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termsource']/text()">
<xsl:if test="normalize-space() != ''">
<xsl:value-of select="."/>
</xsl:if>
</xsl:template>
<!-- text SOURCE: -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'termsource']/*[local-name() = 'strong'][1][following-sibling::*[1][local-name() = 'origin']]/text()">
<fo:inline xsl:use-attribute-sets="termsource-text-style">
<xsl:value-of select="."/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'origin']">
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link internal-destination="{@bibitemid}" fox:alt-text="{@citeas}">
<xsl:if test="normalize-space(@citeas) = ''">
<xsl:attribute name="fox:alt-text"><xsl:value-of select="@bibitemid"/></xsl:attribute>
</xsl:if>
<fo:inline xsl:use-attribute-sets="origin-style">
<xsl:apply-templates/>
</fo:inline>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</xsl:template>
<!-- not using, see https://github.com/glossarist/iev-document/issues/23 -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'modification']">
<xsl:variable name="title-modified">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">modified</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="text"><xsl:apply-templates/></xsl:variable>
<xsl:choose>
<xsl:when test="$lang = 'zh'"><xsl:text>、</xsl:text><xsl:value-of select="$title-modified"/><xsl:if test="normalize-space($text) != ''"><xsl:text>—</xsl:text></xsl:if></xsl:when>
<xsl:otherwise><xsl:text>, </xsl:text><xsl:value-of select="$title-modified"/><xsl:if test="normalize-space($text) != ''"><xsl:text> — </xsl:text></xsl:if></xsl:otherwise>
</xsl:choose>
<xsl:apply-templates/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'modification']/*[local-name() = 'p']">
<fo:inline><xsl:apply-templates/></fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'modification']/text()">
<xsl:if test="normalize-space() != ''">
<!-- <xsl:value-of select="."/> -->
<xsl:call-template name="text"/>
</xsl:if>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<!-- ====== -->
<!-- qoute -->
<!-- source -->
<!-- author -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'quote']">
<fo:block-container margin-left="0mm" role="SKIP">
<xsl:call-template name="setBlockSpanAll"/>
<xsl:if test="parent::*[local-name() = 'note']">
<xsl:if test="not(ancestor::*[local-name() = 'table'])">
<xsl:attribute name="margin-left">5mm</xsl:attribute>
</xsl:if>
</xsl:if>
<fo:block-container margin-left="0mm" role="SKIP">
<fo:block-container xsl:use-attribute-sets="quote-style" role="SKIP">
<xsl:call-template name="refine_quote-style"/>
<fo:block-container margin-left="0mm" margin-right="0mm" role="SKIP">
<fo:block role="BlockQuote">
<xsl:apply-templates select="./node()[not(local-name() = 'author') and not(local-name() = 'source')]"/> <!-- process all nested nodes, except author and source -->
</fo:block>
</fo:block-container>
</fo:block-container>
<xsl:if test="*[local-name() = 'author'] or *[local-name() = 'source']">
<fo:block xsl:use-attribute-sets="quote-source-style">
<!-- — ISO, ISO 7301:2011, Clause 1 -->
<xsl:apply-templates select="*[local-name() = 'author']"/>
<xsl:apply-templates select="*[local-name() = 'source']"/>
</fo:block>
</xsl:if>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'source']">
<xsl:if test="../*[local-name() = 'author']">
<xsl:text>, </xsl:text>
</xsl:if>
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link internal-destination="{@bibitemid}" fox:alt-text="{@citeas}">
<xsl:apply-templates/>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'author']">
<xsl:text>— </xsl:text>
<xsl:apply-templates/>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitems_">
<xsl:for-each select="//*[local-name() = 'bibitem']">
<xsl:copy-of select="."/>
</xsl:for-each>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitems" select="xalan:nodeset($bibitems_)"/>
<!-- get all hidden bibitems to exclude them from eref/origin processing -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitems_hidden_">
<xsl:for-each select="//*[local-name() = 'bibitem'][@hidden='true']">
<xsl:copy-of select="."/>
</xsl:for-each>
<xsl:for-each select="//*[local-name() = 'references'][@hidden='true']//*[local-name() = 'bibitem']">
<xsl:copy-of select="."/>
</xsl:for-each>
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bibitems_hidden" select="xalan:nodeset($bibitems_hidden_)"/>
<!-- ====== -->
<!-- eref -->
<!-- ====== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'eref']" name="eref">
<xsl:variable name="current_bibitemid" select="@bibitemid"/>
<!-- <xsl:variable name="external-destination" select="normalize-space(key('bibitems', $current_bibitemid)/*[local-name() = 'uri'][@type = 'citation'])"/> -->
<xsl:variable name="external-destination" select="normalize-space($bibitems/*[local-name() ='bibitem'][@id = $current_bibitemid]/*[local-name() = 'uri'][@type = 'citation'])"/>
<xsl:choose>
<!-- <xsl:when test="$external-destination != '' or not(key('bibitems_hidden', $current_bibitemid))"> --> <!-- if in the bibliography there is the item with @bibitemid (and not hidden), then create link (internal to the bibitem or external) -->
<xsl:when test="$external-destination != '' or not($bibitems_hidden/*[local-name() ='bibitem'][@id = $current_bibitemid])"> <!-- if in the bibliography there is the item with @bibitemid (and not hidden), then create link (internal to the bibitem or external) -->
<fo:inline xsl:use-attribute-sets="eref-style">
<xsl:if test="@type = 'footnote'">
<xsl:attribute name="keep-together.within-line">always</xsl:attribute>
<xsl:attribute name="keep-with-previous.within-line">always</xsl:attribute>
<xsl:attribute name="vertical-align">super</xsl:attribute>
<xsl:attribute name="font-size">80%</xsl:attribute>
</xsl:if>
<xsl:call-template name="refine_eref-style"/>
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link fox:alt-text="{@citeas}">
<xsl:if test="normalize-space(@citeas) = ''">
<xsl:attribute name="fox:alt-text"><xsl:value-of select="."/></xsl:attribute>
</xsl:if>
<xsl:if test="@type = 'inline'">
<xsl:call-template name="refine_basic_link_style"/>
</xsl:if>
<xsl:choose>
<xsl:when test="$external-destination != ''"> <!-- external hyperlink -->
<xsl:attribute name="external-destination"><xsl:value-of select="$external-destination"/></xsl:attribute>
</xsl:when>
<xsl:otherwise>
<xsl:attribute name="internal-destination"><xsl:value-of select="@bibitemid"/></xsl:attribute>
</xsl:otherwise>
</xsl:choose>
<xsl:apply-templates/>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</fo:inline>
</xsl:when>
<xsl:otherwise> <!-- if there is key('bibitems_hidden', $current_bibitemid) -->
<!-- if in bibitem[@hidden='true'] there is url[@type='src'], then create hyperlink -->
<xsl:variable name="uri_src" select="normalize-space($bibitems_hidden/*[local-name() ='bibitem'][@id = $current_bibitemid]/*[local-name() = 'uri'][@type = 'src'])"/>
<xsl:choose>
<xsl:when test="$uri_src != ''">
<fo:basic-link external-destination="{$uri_src}" fox:alt-text="{$uri_src}"><xsl:apply-templates/></fo:basic-link>
</xsl:when>
<xsl:otherwise><fo:inline><xsl:apply-templates/></fo:inline></xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_basic_link_style">
</xsl:template> <!-- refine_basic_link_style -->
<!-- ====== -->
<!-- END eref -->
<!-- ====== -->
<!-- Tabulation processing -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'tab']">
<!-- zero-space char -->
<xsl:variable name="depth">
<xsl:call-template name="getLevel">
<xsl:with-param name="depth" select="../@depth"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="padding">
1.5
</xsl:variable>
<xsl:variable name="padding-right">
<xsl:choose>
<xsl:when test="normalize-space($padding) = ''">0</xsl:when>
<xsl:otherwise>
<xsl:value-of select="normalize-space($padding)"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:choose>
<xsl:when test="$lang = 'zh'">
<fo:inline role="SKIP"><xsl:value-of select="$tab_zh"/></fo:inline>
</xsl:when>
<xsl:when test="../../@inline-header = 'true'">
<fo:inline font-size="90%" role="SKIP">
<xsl:call-template name="insertNonBreakSpaces">
<xsl:with-param name="count" select="$padding-right"/>
</xsl:call-template>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="direction"><xsl:if test="$lang = 'ar'"><xsl:value-of select="$RLM"/></xsl:if></xsl:variable>
<fo:inline padding-right="{$padding-right}mm" role="SKIP"><xsl:value-of select="$direction"/></fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- tab -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertNonBreakSpaces">
<xsl:param name="count"/>
<xsl:if test="$count > 0">
<xsl:text> </xsl:text>
<xsl:call-template name="insertNonBreakSpaces">
<xsl:with-param name="count" select="$count - 1"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<!-- Preferred, admitted, deprecated -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'preferred']">
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<xsl:variable name="font-size">
inherit
</xsl:variable>
<xsl:variable name="levelTerm">
<xsl:call-template name="getLevelTermName"/>
</xsl:variable>
<fo:block font-size="{normalize-space($font-size)}" role="H{$levelTerm}" xsl:use-attribute-sets="preferred-block-style">
<xsl:if test="parent::*[local-name() = 'term'] and not(preceding-sibling::*[local-name() = 'preferred'])"> <!-- if first preffered in term, then display term's name -->
<fo:block xsl:use-attribute-sets="term-name-style" role="SKIP">
<xsl:apply-templates select="ancestor::*[local-name() = 'term'][1]/*[local-name() = 'name']"/>
</fo:block>
</xsl:if>
<fo:block xsl:use-attribute-sets="preferred-term-style" role="SKIP">
<xsl:call-template name="setStyle_preferred"/>
<xsl:apply-templates/>
</fo:block>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'domain']">
<fo:inline xsl:use-attribute-sets="domain-style"><<xsl:apply-templates/>></fo:inline>
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'admitted']">
<fo:block xsl:use-attribute-sets="admitted-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'deprecates']">
<fo:block xsl:use-attribute-sets="deprecates-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setStyle_preferred">
<xsl:if test="*[local-name() = 'strong']">
<xsl:attribute name="font-weight">normal</xsl:attribute>
</xsl:if>
</xsl:template>
<!-- regarding ISO 10241-1:2011, If there is more than one preferred term, each preferred term follows the previous one on a new line. -->
<!-- in metanorma xml preferred terms delimited by semicolons -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'preferred']/text()[contains(., ';')] | *[local-name() = 'preferred']/*[local-name() = 'strong']/text()[contains(., ';')]">
<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.), ';', $linebreak)"/>
</xsl:template>
<!-- End Preferred, admitted, deprecated -->
<!-- ========== -->
<!-- definition -->
<!-- ========== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'definition']">
<fo:block xsl:use-attribute-sets="definition-style" role="SKIP">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'definition'][preceding-sibling::*[local-name() = 'domain']]">
<xsl:apply-templates/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'definition'][preceding-sibling::*[local-name() = 'domain']]/*[local-name() = 'p'][1]">
<fo:inline> <xsl:apply-templates/></fo:inline>
<fo:block/>
</xsl:template>
<!-- ========== -->
<!-- END definition -->
<!-- ========== -->
<!-- main sections -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="/*/*[local-name() = 'sections']/*" name="sections_node" priority="2">
<fo:block>
<xsl:call-template name="setId"/>
<xsl:call-template name="sections_element_style"/>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- note: @top-level added in mode=" update_xml_step_move_pagebreak" -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sections']/*[local-name() = 'page_sequence']/*[not(@top-level)]" priority="2">
<xsl:call-template name="sections_node"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="sections_element_style">
<xsl:variable name="pos"><xsl:number count="ribose:sections/ribose:clause[not(@type='scope') and not(@type='conformance')]"/></xsl:variable> <!-- | ribose:sections/ribose:terms -->
<xsl:if test="$pos >= 2">
<xsl:attribute name="space-before">18pt</xsl:attribute>
</xsl:if>
</xsl:template> <!-- sections_element_style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="//*[contains(local-name(), '-standard')]/*[local-name() = 'preface']/*" priority="2" name="preface_node"> <!-- /*/*[local-name() = 'preface']/* -->
<fo:block break-after="page"/>
<fo:block>
<xsl:call-template name="setId"/>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'preface']/*[local-name() = 'page_sequence']/*" priority="2"> <!-- /*/*[local-name() = 'preface']/* -->
<xsl:call-template name="preface_node"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'clause'][normalize-space() != '' or *[local-name() = 'figure'] or @id]" name="template_clause"> <!-- if clause isn't empty -->
<fo:block>
<xsl:if test="parent::*[local-name() = 'copyright-statement']">
<xsl:attribute name="role">SKIP</xsl:attribute>
</xsl:if>
<xsl:call-template name="setId"/>
<xsl:call-template name="setBlockSpanAll"/>
<xsl:call-template name="refine_clause_style"/>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_clause_style">
</xsl:template> <!-- refine_clause_style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'definitions']">
<fo:block id="{@id}">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'annex'][normalize-space() != '']">
<xsl:choose>
<xsl:when test="@continue = 'true'"> <!-- it's using for figure/table on top level for block span -->
<fo:block>
<xsl:apply-templates/>
</fo:block>
</xsl:when>
<xsl:otherwise>
<fo:block break-after="page"/>
<fo:block id="{@id}">
<xsl:call-template name="setBlockSpanAll"/>
<xsl:call-template name="refine_annex_style"/>
</fo:block>
<xsl:apply-templates select="*[local-name() = 'title'][@columns = 1]"/>
<fo:block>
<xsl:apply-templates select="node()[not(local-name() = 'title' and @columns = 1)]"/>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_annex_style">
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'review']"> <!-- 'review' will be processed in mn2pdf/review.xsl -->
<!-- comment 2019-11-29 -->
<!-- <fo:block font-weight="bold">Review:</fo:block>
<xsl:apply-templates /> -->
<xsl:variable name="id_from" select="normalize-space(current()/@from)"/>
<xsl:choose>
<!-- if there isn't the attribute '@from', then -->
<xsl:when test="$id_from = ''">
<fo:block id="{@id}" font-size="1pt"><xsl:value-of select="$hair_space"/></fo:block>
</xsl:when>
<!-- if there isn't element with id 'from', then create 'bookmark' here -->
<xsl:when test="ancestor::*[contains(local-name(), '-standard')] and not(ancestor::*[contains(local-name(), '-standard')]//*[@id = $id_from])">
<fo:block id="{@from}" font-size="1pt"><xsl:value-of select="$hair_space"/></fo:block>
</xsl:when>
<xsl:when test="not(/*[@id = $id_from]) and not(/*//*[@id = $id_from]) and not(preceding-sibling::*[@id = $id_from])">
<fo:block id="{@from}" font-size="1pt"><xsl:value-of select="$hair_space"/></fo:block>
</xsl:when>
</xsl:choose>
</xsl:template>
<!-- https://github.com/metanorma/mn-samples-bsi/issues/312 -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'review'][@type = 'other']"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'name']/text()">
<!-- 0xA0 to space replacement -->
<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.),' ',' ')"/>
</xsl:template>
<!-- ===================================== -->
<!-- Lists processing -->
<!-- ===================================== -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="ul_labels_">
<label level="1" font-size="75%">o</label> <!-- white circle -->
<label level="2">—</label> <!-- em dash -->
<label level="3" font-size="140%">•</label> <!-- bullet -->
</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="ul_labels" select="xalan:nodeset($ul_labels_)"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setULLabel">
<xsl:variable name="list_level__">
<xsl:value-of select="count(ancestor::*[local-name() = 'ul']) + count(ancestor::*[local-name() = 'ol'])"/>
</xsl:variable>
<xsl:variable name="list_level_" select="number($list_level__)"/>
<xsl:variable name="list_level">
<xsl:choose>
<xsl:when test="$list_level_ <= 3"><xsl:value-of select="$list_level_"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$list_level_ mod 3"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:choose>
<xsl:when test="$ul_labels/label[not(@level)]"> <!-- one label for all levels -->
<xsl:apply-templates select="$ul_labels/label[not(@level)]" mode="ul_labels"/>
</xsl:when>
<xsl:when test="$list_level mod 3 = 0">
<xsl:apply-templates select="$ul_labels/label[@level = 3]" mode="ul_labels"/>
</xsl:when>
<xsl:when test="$list_level mod 2 = 0">
<xsl:apply-templates select="$ul_labels/label[@level = 2]" mode="ul_labels"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="$ul_labels/label[@level = 1]" mode="ul_labels"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="label" mode="ul_labels">
<xsl:copy-of select="@*[not(local-name() = 'level')]"/>
<xsl:value-of select="."/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getListItemFormat">
<!-- Example: for BSI <?list-type loweralpha?> -->
<xsl:variable name="processing_instruction_type" select="normalize-space(../preceding-sibling::*[1]/processing-instruction('list-type'))"/>
<xsl:choose>
<xsl:when test="local-name(..) = 'ul'">
<xsl:choose>
<xsl:when test="normalize-space($processing_instruction_type) = 'simple'"/>
<xsl:otherwise><xsl:call-template name="setULLabel"/></xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:when test="local-name(..) = 'ol' and @label"> <!-- for ordered lists 'ol', and if there is @label, for instance label="1.1.2" -->
<xsl:variable name="label">
<xsl:variable name="type" select="../@type"/>
<xsl:variable name="style_prefix_">
<xsl:if test="$type = 'roman'">
<!-- Example: (i) -->
</xsl:if>
</xsl:variable>
<xsl:variable name="style_prefix" select="normalize-space($style_prefix_)"/>
<xsl:variable name="style_suffix_">
<xsl:choose>
<xsl:when test="$type = 'arabic'">
.
</xsl:when>
<xsl:when test="$type = 'alphabet' or $type = 'alphabetic'">
.
</xsl:when>
<xsl:when test="$type = 'alphabet_upper' or $type = 'alphabetic_upper'">
.
</xsl:when>
<xsl:when test="$type = 'roman'">
.
</xsl:when>
<xsl:when test="$type = 'roman_upper'">.</xsl:when> <!-- Example: I. -->
</xsl:choose>
</xsl:variable>
<xsl:variable name="style_suffix" select="normalize-space($style_suffix_)"/>
<xsl:if test="$style_prefix != '' and not(starts-with(@label, $style_prefix))">
<xsl:value-of select="$style_prefix"/>
</xsl:if>
<xsl:value-of select="@label"/>
<xsl:if test="not(java:endsWith(java:java.lang.String.new(@label),$style_suffix))">
<xsl:value-of select="$style_suffix"/>
</xsl:if>
</xsl:variable>
<xsl:value-of select="normalize-space($label)"/>
</xsl:when>
<xsl:otherwise> <!-- for ordered lists 'ol' -->
<!-- Example: for BSI <?list-start 2?> -->
<xsl:variable name="processing_instruction_start" select="normalize-space(../preceding-sibling::*[1]/processing-instruction('list-start'))"/>
<xsl:variable name="start_value">
<xsl:choose>
<xsl:when test="normalize-space($processing_instruction_start) != ''">
<xsl:value-of select="number($processing_instruction_start) - 1"/><!-- if start="3" then start_value=2 + xsl:number(1) = 3 -->
</xsl:when>
<xsl:when test="normalize-space(../@start) != ''">
<xsl:value-of select="number(../@start) - 1"/><!-- if start="3" then start_value=2 + xsl:number(1) = 3 -->
</xsl:when>
<xsl:otherwise>0</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="curr_value"><xsl:number/></xsl:variable>
<xsl:variable name="type">
<xsl:choose>
<xsl:when test="normalize-space($processing_instruction_type) != ''"><xsl:value-of select="$processing_instruction_type"/></xsl:when>
<xsl:when test="normalize-space(../@type) != ''"><xsl:value-of select="../@type"/></xsl:when>
<xsl:otherwise> <!-- if no @type or @class = 'steps' -->
<xsl:variable name="list_level_" select="count(ancestor::*[local-name() = 'ul']) + count(ancestor::*[local-name() = 'ol'])"/>
<xsl:variable name="list_level">
<xsl:choose>
<xsl:when test="$list_level_ <= 5"><xsl:value-of select="$list_level_"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$list_level_ mod 5"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:choose>
<xsl:when test="$list_level mod 5 = 0">roman_upper</xsl:when> <!-- level 5 -->
<xsl:when test="$list_level mod 4 = 0">alphabet_upper</xsl:when> <!-- level 4 -->
<xsl:when test="$list_level mod 3 = 0">roman</xsl:when> <!-- level 3 -->
<xsl:when test="$list_level mod 2 = 0 and ancestor::*/@class = 'steps'">alphabet</xsl:when> <!-- level 2 and @class = 'steps'-->
<xsl:when test="$list_level mod 2 = 0">arabic</xsl:when> <!-- level 2 -->
<xsl:otherwise> <!-- level 1 -->
<xsl:choose>
<xsl:when test="ancestor::*/@class = 'steps'">arabic</xsl:when>
<xsl:otherwise>alphabet</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="format">
<xsl:choose>
<xsl:when test="$type = 'arabic'">
1.
</xsl:when>
<xsl:when test="$type = 'alphabet' or $type = 'alphabetic'">
a.
</xsl:when>
<xsl:when test="$type = 'alphabet_upper' or $type = 'alphabetic_upper'">
A.
</xsl:when>
<xsl:when test="$type = 'roman'">
i.
</xsl:when>
<xsl:when test="$type = 'roman_upper'">I.</xsl:when>
<xsl:otherwise>1.</xsl:otherwise> <!-- for any case, if $type has non-determined value, not using -->
</xsl:choose>
</xsl:variable>
<xsl:number value="$start_value + $curr_value" format="{normalize-space($format)}" lang="en"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'ul'] | *[local-name() = 'ol']">
<xsl:param name="indent">0</xsl:param>
<xsl:choose>
<xsl:when test="parent::*[local-name() = 'note'] or parent::*[local-name() = 'termnote']">
<fo:block-container role="SKIP">
<xsl:attribute name="margin-left">
<xsl:choose>
<xsl:when test="not(ancestor::*[local-name() = 'table'])"><xsl:value-of select="$note-body-indent"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$note-body-indent-table"/></xsl:otherwise>
</xsl:choose>
</xsl:attribute>
<xsl:call-template name="refine_list_container_style"/>
<fo:block-container margin-left="0mm" role="SKIP">
<fo:block>
<xsl:apply-templates select="." mode="list">
<xsl:with-param name="indent" select="$indent"/>
</xsl:apply-templates>
</fo:block>
</fo:block-container>
</fo:block-container>
</xsl:when>
<xsl:otherwise>
<fo:block role="SKIP">
<xsl:apply-templates select="." mode="list">
<xsl:with-param name="indent" select="$indent"/>
</xsl:apply-templates>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_list_container_style">
</xsl:template> <!-- refine_list_container_style -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='ul'] | *[local-name()='ol']" mode="list" name="list">
<xsl:apply-templates select="*[local-name() = 'name']">
<xsl:with-param name="process">true</xsl:with-param>
</xsl:apply-templates>
<fo:list-block xsl:use-attribute-sets="list-style">
<xsl:variable name="provisional_distance_between_starts_">
<attributes xsl:use-attribute-sets="list-style">
<xsl:call-template name="refine_list-style_provisional-distance-between-starts"/>
</attributes>
</xsl:variable>
<xsl:variable name="provisional_distance_between_starts" select="normalize-space(xalan:nodeset($provisional_distance_between_starts_)/attributes/@provisional-distance-between-starts)"/>
<xsl:if test="$provisional_distance_between_starts != ''">
<xsl:attribute name="provisional-distance-between-starts"><xsl:value-of select="$provisional_distance_between_starts"/></xsl:attribute>
</xsl:if>
<xsl:variable name="provisional_distance_between_starts_value" select="substring-before($provisional_distance_between_starts, 'mm')"/>
<!-- increase provisional-distance-between-starts for long lists -->
<xsl:if test="local-name() = 'ol'">
<!-- Examples: xiii), xviii), xxviii) -->
<xsl:variable name="item_numbers">
<xsl:for-each select="*[local-name() = 'li']">
<item><xsl:call-template name="getListItemFormat"/></item>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="max_length">
<xsl:for-each select="xalan:nodeset($item_numbers)/item">
<xsl:sort select="string-length(.)" data-type="number" order="descending"/>
<xsl:if test="position() = 1"><xsl:value-of select="string-length(.)"/></xsl:if>
</xsl:for-each>
</xsl:variable>
<!-- base width (provisional-distance-between-starts) for 4 chars -->
<xsl:variable name="addon" select="$max_length - 4"/>
<xsl:if test="$addon > 0">
<xsl:attribute name="provisional-distance-between-starts"><xsl:value-of select="$provisional_distance_between_starts_value + $addon * 2"/>mm</xsl:attribute>
</xsl:if>
<!-- DEBUG -->
<!-- <xsl:copy-of select="$item_numbers"/>
<max_length><xsl:value-of select="$max_length"/></max_length>
<addon><xsl:value-of select="$addon"/></addon> -->
</xsl:if>
<xsl:call-template name="refine_list-style"/>
<xsl:if test="*[local-name() = 'name']">
<xsl:attribute name="margin-top">0pt</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="node()[not(local-name() = 'note')]"/>
</fo:list-block>
<!-- <xsl:for-each select="./iho:note">
<xsl:call-template name="note"/>
</xsl:for-each> -->
<xsl:apply-templates select="./*[local-name() = 'note']"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="refine_list-style_provisional-distance-between-starts">
</xsl:template> <!-- refine_list-style_provisional-distance-between-starts -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'ol' or local-name() = 'ul']/*[local-name() = 'name']">
<xsl:param name="process">false</xsl:param>
<xsl:if test="$process = 'true'">
<fo:block xsl:use-attribute-sets="list-name-style">
<xsl:apply-templates/>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name()='li']">
<xsl:param name="indent">0</xsl:param>
<!-- <fo:list-item xsl:use-attribute-sets="list-item-style">
<fo:list-item-label end-indent="label-end()"><fo:block>x</fo:block></fo:list-item-label>
<fo:list-item-body start-indent="body-start()" xsl:use-attribute-sets="list-item-body-style">
<fo:block>debug li indent=<xsl:value-of select="$indent"/></fo:block>
</fo:list-item-body>
</fo:list-item> -->
<fo:list-item xsl:use-attribute-sets="list-item-style">
<xsl:copy-of select="@id"/>
<xsl:call-template name="refine_list-item-style"/>
<fo:list-item-label end-indent="label-end()">
<fo:block xsl:use-attribute-sets="list-item-label-style" role="SKIP">
<xsl:call-template name="refine_list-item-label-style"/>
<!-- if 'p' contains all text in 'add' first and last elements in first p are 'add' -->
<xsl:if test="*[1][count(node()[normalize-space() != '']) = 1 and *[local-name() = 'add']]">
<xsl:call-template name="append_add-style"/>
</xsl:if>
<xsl:call-template name="getListItemFormat"/>
</fo:block>
</fo:list-item-label>
<fo:list-item-body start-indent="body-start()" xsl:use-attribute-sets="list-item-body-style">
<fo:block role="SKIP">
<xsl:call-template name="refine_list-item-body-style"/>
<xsl:apply-templates>
<xsl:with-param name="indent" select="$indent"/>
</xsl:apply-templates>
<!-- <xsl:apply-templates select="node()[not(local-name() = 'note')]" />
<xsl:for-each select="./bsi:note">
<xsl:call-template name="note"/>
</xsl:for-each> -->
</fo:block>
</fo:list-item-body>
</fo:list-item>
</xsl:template>
<!-- ===================================== -->
<!-- END Lists processing -->
<!-- ===================================== -->
<!-- =================== -->
<!-- Index section processing -->
<!-- =================== -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="index" select="document($external_index)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="bookmark_in_fn">
<xsl:for-each select="//*[local-name() = 'bookmark'][ancestor::*[local-name() = 'fn']]">
<bookmark><xsl:value-of select="@id"/></bookmark>
</xsl:for-each>
</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="index_add_id">
<xsl:param name="docid"/>
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="index_add_id">
<xsl:with-param name="docid" select="$docid"/>
</xsl:apply-templates>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'xref']" mode="index_add_id">
<xsl:param name="docid"/>
<xsl:variable name="id">
<xsl:call-template name="generateIndexXrefId">
<xsl:with-param name="docid" select="$docid"/>
</xsl:call-template>
</xsl:variable>
<xsl:copy> <!-- add id to xref -->
<xsl:apply-templates select="@*" mode="index_add_id"/>
<xsl:attribute name="id">
<xsl:value-of select="$id"/>
</xsl:attribute>
<xsl:apply-templates mode="index_add_id">
<xsl:with-param name="docid" select="$docid"/>
</xsl:apply-templates>
</xsl:copy>
<!-- split <xref target="bm1" to="End" pagenumber="true"> to two xref:
<xref target="bm1" pagenumber="true"> and <xref target="End" pagenumber="true"> -->
<xsl:if test="@to">
<xsl:value-of select="$en_dash"/>
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:attribute name="target"><xsl:value-of select="@to"/></xsl:attribute>
<xsl:attribute name="id">
<xsl:value-of select="$id"/><xsl:text>_to</xsl:text>
</xsl:attribute>
<xsl:apply-templates mode="index_add_id">
<xsl:with-param name="docid" select="$docid"/>
</xsl:apply-templates>
</xsl:copy>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="index_update">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="index_update"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'indexsect']//*[local-name() = 'li']" mode="index_update">
<xsl:copy>
<xsl:apply-templates select="@*" mode="index_update"/>
<xsl:apply-templates select="node()[1]" mode="process_li_element"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'indexsect']//*[local-name() = 'li']/node()" mode="process_li_element" priority="2">
<xsl:param name="element"/>
<xsl:param name="remove" select="'false'"/>
<xsl:param name="target"/>
<!-- <node></node> -->
<xsl:choose>
<xsl:when test="self::text() and (normalize-space(.) = ',' or normalize-space(.) = $en_dash) and $remove = 'true'">
<!-- skip text (i.e. remove it) and process next element -->
<!-- [removed_<xsl:value-of select="."/>] -->
<xsl:apply-templates select="following-sibling::node()[1]" mode="process_li_element">
<xsl:with-param name="target"><xsl:value-of select="$target"/></xsl:with-param>
</xsl:apply-templates>
</xsl:when>
<xsl:when test="self::text()">
<xsl:value-of select="."/>
<xsl:apply-templates select="following-sibling::node()[1]" mode="process_li_element"/>
</xsl:when>
<xsl:when test="self::* and local-name(.) = 'xref'">
<xsl:variable name="id" select="@id"/>
<xsl:variable name="id_next" select="following-sibling::*[local-name() = 'xref'][1]/@id"/>
<xsl:variable name="id_prev" select="preceding-sibling::*[local-name() = 'xref'][1]/@id"/>
<xsl:variable name="pages_">
<xsl:for-each select="$index/index/item[@id = $id or @id = $id_next or @id = $id_prev]">
<xsl:choose>
<xsl:when test="@id = $id">
<page><xsl:value-of select="."/></page>
</xsl:when>
<xsl:when test="@id = $id_next">
<page_next><xsl:value-of select="."/></page_next>
</xsl:when>
<xsl:when test="@id = $id_prev">
<page_prev><xsl:value-of select="."/></page_prev>
</xsl:when>
</xsl:choose>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="pages" select="xalan:nodeset($pages_)"/>
<!-- <xsl:variable name="page" select="$index/index/item[@id = $id]"/> -->
<xsl:variable name="page" select="$pages/page"/>
<!-- <xsl:variable name="page_next" select="$index/index/item[@id = $id_next]"/> -->
<xsl:variable name="page_next" select="$pages/page_next"/>
<!-- <xsl:variable name="page_prev" select="$index/index/item[@id = $id_prev]"/> -->
<xsl:variable name="page_prev" select="$pages/page_prev"/>
<xsl:choose>
<!-- 2nd pass -->
<!-- if page is equal to page for next and page is not the end of range -->
<xsl:when test="$page != '' and $page_next != '' and $page = $page_next and not(contains($page, '_to'))"> <!-- case: 12, 12-14 -->
<!-- skip element (i.e. remove it) and remove next text ',' -->
<!-- [removed_xref] -->
<xsl:apply-templates select="following-sibling::node()[1]" mode="process_li_element">
<xsl:with-param name="remove">true</xsl:with-param>
<xsl:with-param name="target">
<xsl:choose>
<xsl:when test="$target != ''"><xsl:value-of select="$target"/></xsl:when>
<xsl:otherwise><xsl:value-of select="@target"/></xsl:otherwise>
</xsl:choose>
</xsl:with-param>
</xsl:apply-templates>
</xsl:when>
<xsl:when test="$page != '' and $page_prev != '' and $page = $page_prev and contains($page_prev, '_to')"> <!-- case: 12-14, 14, ... -->
<!-- remove xref -->
<xsl:apply-templates select="following-sibling::node()[1]" mode="process_li_element">
<xsl:with-param name="remove">true</xsl:with-param>
</xsl:apply-templates>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="." mode="xref_copy">
<xsl:with-param name="target" select="$target"/>
</xsl:apply-templates>
<xsl:apply-templates select="following-sibling::node()[1]" mode="process_li_element"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:when test="self::* and local-name(.) = 'ul'">
<!-- ul -->
<xsl:apply-templates select="." mode="index_update"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="." mode="xref_copy">
<xsl:with-param name="target" select="$target"/>
</xsl:apply-templates>
<xsl:apply-templates select="following-sibling::node()[1]" mode="process_li_element"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="xref_copy">
<xsl:param name="target"/>
<xsl:copy>
<xsl:apply-templates select="@*" mode="xref_copy"/>
<xsl:if test="$target != '' and not(xalan:nodeset($bookmark_in_fn)//bookmark[. = $target])">
<xsl:attribute name="target"><xsl:value-of select="$target"/></xsl:attribute>
</xsl:if>
<xsl:apply-templates select="node()" mode="xref_copy"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="generateIndexXrefId">
<xsl:param name="docid"/>
<xsl:variable name="level" select="count(ancestor::*[local-name() = 'ul'])"/>
<xsl:variable name="docid_curr">
<xsl:value-of select="$docid"/>
<xsl:if test="normalize-space($docid) = ''"><xsl:call-template name="getDocumentId"/></xsl:if>
</xsl:variable>
<xsl:variable name="item_number">
<xsl:number count="*[local-name() = 'li'][ancestor::*[local-name() = 'indexsect']]" level="any"/>
</xsl:variable>
<xsl:variable name="xref_number"><xsl:number count="*[local-name() = 'xref']"/></xsl:variable>
<xsl:value-of select="concat($docid_curr, '_', $item_number, '_', $xref_number)"/> <!-- $level, '_', -->
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'indexsect']/*[local-name() = 'title']" priority="4">
<fo:block xsl:use-attribute-sets="indexsect-title-style">
<!-- Index -->
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'indexsect']/*[local-name() = 'clause']/*[local-name() = 'title']" priority="4">
<!-- Letter A, B, C, ... -->
<fo:block xsl:use-attribute-sets="indexsect-clause-title-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'indexsect']/*[local-name() = 'clause']" priority="4">
<xsl:apply-templates/>
<fo:block>
<xsl:if test="following-sibling::*[local-name() = 'clause']">
<fo:block> </fo:block>
</xsl:if>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'indexsect']//*[local-name() = 'ul']" priority="4">
<xsl:apply-templates/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'indexsect']//*[local-name() = 'li']" priority="4">
<xsl:variable name="level" select="count(ancestor::*[local-name() = 'ul'])"/>
<fo:block start-indent="{5 * $level}mm" text-indent="-5mm">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'indexsect']//*[local-name() = 'li']/text()">
<!-- to split by '_' and other chars -->
<xsl:call-template name="add-zero-spaces-java"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'table']/*[local-name() = 'bookmark']" priority="2"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'bookmark']" name="bookmark">
<!-- <fo:inline id="{@id}" font-size="1pt"/> -->
<fo:inline id="{@id}" font-size="1pt"><xsl:value-of select="$hair_space"/></fo:inline>
<!-- we need to add zero-width space, otherwise this fo:inline is missing in IF xml -->
<xsl:if test="not(following-sibling::node()[normalize-space() != ''])"><fo:inline font-size="1pt"> </fo:inline></xsl:if>
</xsl:template>
<!-- =================== -->
<!-- End of Index processing -->
<!-- =================== -->
<!-- ============ -->
<!-- errata -->
<!-- ============ -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'errata']">
<!-- <row>
<date>05-07-2013</date>
<type>Editorial</type>
<change>Changed CA-9 Priority Code from P1 to P2 in <xref target="tabled2"/>.</change>
<pages>D-3</pages>
</row>
-->
<fo:table table-layout="fixed" width="100%" font-size="10pt" border="1pt solid black">
<fo:table-column column-width="20mm"/>
<fo:table-column column-width="23mm"/>
<fo:table-column column-width="107mm"/>
<fo:table-column column-width="15mm"/>
<fo:table-body>
<fo:table-row text-align="center" font-weight="bold" background-color="black" color="white">
<fo:table-cell border="1pt solid black"><fo:block role="SKIP">Date</fo:block></fo:table-cell>
<fo:table-cell border="1pt solid black"><fo:block role="SKIP">Type</fo:block></fo:table-cell>
<fo:table-cell border="1pt solid black"><fo:block role="SKIP">Change</fo:block></fo:table-cell>
<fo:table-cell border="1pt solid black"><fo:block role="SKIP">Pages</fo:block></fo:table-cell>
</fo:table-row>
<xsl:apply-templates/>
</fo:table-body>
</fo:table>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'errata']/*[local-name() = 'row']">
<fo:table-row>
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'errata']/*[local-name() = 'row']/*">
<fo:table-cell border="1pt solid black" padding-left="1mm" padding-top="0.5mm">
<fo:block role="SKIP"><xsl:apply-templates/></fo:block>
</fo:table-cell>
</xsl:template>
<!-- ============ -->
<!-- END errata -->
<!-- ============ -->
<!-- ======================= -->
<!-- Bibliography rendering -->
<!-- ======================= -->
<!-- ========================================================== -->
<!-- Reference sections (Normative References and Bibliography) -->
<!-- ========================================================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'references'][@hidden='true']" priority="3"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'bibitem'][@hidden='true']" priority="3">
<xsl:param name="skip" select="normalize-space(preceding-sibling::*[1][local-name() = 'bibitem'] and 1 = 1)"/>
</xsl:template>
<!-- don't display bibitem with @id starts with '_hidden', that was introduced for references integrity -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'bibitem'][starts-with(@id, 'hidden_bibitem_')]" priority="3"/>
<!-- Normative references -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'references'][@normative='true']" priority="2">
<fo:block id="{@id}">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- Bibliography (non-normative references) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'references']">
<xsl:if test="not(ancestor::*[local-name() = 'annex'])">
<fo:block break-after="page"/>
</xsl:if>
<!-- <xsl:if test="ancestor::*[local-name() = 'annex']">
<xsl:if test="$namespace = 'csa' or $namespace = 'csd' or $namespace = 'gb' or $namespace = 'iec' or $namespace = 'iso' or $namespace = 'itu'">
<fo:block break-after="page"/>
</xsl:if>
</xsl:if> -->
<fo:block id="{@id}"/>
<xsl:apply-templates select="*[local-name() = 'title'][@columns = 1]"/>
<fo:block xsl:use-attribute-sets="references-non-normative-style">
<xsl:apply-templates select="node()[not(local-name() = 'title' and @columns = 1)]"/>
</fo:block>
</xsl:template> <!-- references -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'bibitem']">
<xsl:call-template name="bibitem"/>
</xsl:template>
<!-- Normative references -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'references'][@normative='true']/*[local-name() = 'bibitem']" name="bibitem" priority="2">
<fo:block id="{@id}" xsl:use-attribute-sets="bibitem-normative-style">
<xsl:call-template name="processBibitem"/>
</fo:block>
</xsl:template> <!-- bibitem -->
<!-- Bibliography (non-normative references) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'references'][not(@normative='true')]/*[local-name() = 'bibitem']" name="bibitem_non_normative" priority="2">
<xsl:param name="skip" select="normalize-space(preceding-sibling::*[1][local-name() = 'bibitem'] and 1 = 1)"/> <!-- current bibiitem is non-first -->
<fo:list-block id="{@id}" xsl:use-attribute-sets="bibitem-non-normative-list-style">
<fo:list-item>
<fo:list-item-label end-indent="label-end()">
<fo:block>
<xsl:apply-templates select="*[local-name() = 'biblio-tag']">
<xsl:with-param name="biblio_tag_part">first</xsl:with-param>
</xsl:apply-templates>
</fo:block>
</fo:list-item-label>
<fo:list-item-body start-indent="body-start()">
<fo:block>
<xsl:apply-templates select="*[local-name() = 'biblio-tag']">
<xsl:with-param name="biblio_tag_part">last</xsl:with-param>
</xsl:apply-templates>
<xsl:apply-templates select="ribose:formattedref"/>
</fo:block>
</fo:list-item-body>
</fo:list-item>
</fo:list-block>
<!-- rsd -->
</xsl:template> <!-- references[not(@normative='true')]/bibitem -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertListItem_Bibitem">
<xsl:choose>
<xsl:when test="@hidden = 'true'"><!-- skip --></xsl:when>
<xsl:otherwise>
<fo:list-item id="{@id}" xsl:use-attribute-sets="bibitem-non-normative-list-item-style">
<fo:list-item-label end-indent="label-end()">
<fo:block role="SKIP">
<fo:inline role="SKIP">
<xsl:apply-templates select="*[local-name() = 'biblio-tag']">
<xsl:with-param name="biblio_tag_part">first</xsl:with-param>
</xsl:apply-templates>
</fo:inline>
</fo:block>
</fo:list-item-label>
<fo:list-item-body start-indent="body-start()">
<fo:block xsl:use-attribute-sets="bibitem-non-normative-list-body-style" role="SKIP">
<xsl:call-template name="processBibitem">
<xsl:with-param name="biblio_tag_part">last</xsl:with-param>
</xsl:call-template>
</fo:block>
</fo:list-item-body>
</fo:list-item>
</xsl:otherwise>
</xsl:choose>
<xsl:apply-templates select="following-sibling::*[1][local-name() = 'bibitem']">
<xsl:with-param name="skip">false</xsl:with-param>
</xsl:apply-templates>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="processBibitem">
<xsl:param name="biblio_tag_part">both</xsl:param>
<!-- start bibitem processing -->
<xsl:if test=".//*[local-name() = 'fn']">
<xsl:attribute name="line-height-shift-adjustment">disregard-shifts</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="*[local-name() = 'biblio-tag']">
<xsl:with-param name="biblio_tag_part" select="$biblio_tag_part"/>
</xsl:apply-templates>
<xsl:apply-templates select="*[local-name() = 'formattedref']"/>
<!-- end bibitem processing -->
</xsl:template> <!-- processBibitem (bibitem) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'title']" mode="title">
<fo:inline><xsl:apply-templates/></fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'bibitem']/*[local-name() = 'docidentifier']"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'formattedref']">
<!-- <xsl:if test="$namespace = 'unece' or $namespace = 'unece-rec'">
<xsl:text>, </xsl:text>
</xsl:if> -->
<xsl:apply-templates/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'biblio-tag']">
<xsl:param name="biblio_tag_part">both</xsl:param>
<xsl:choose>
<xsl:when test="$biblio_tag_part = 'first' and *[local-name() = 'tab']">
<xsl:apply-templates select="./*[local-name() = 'tab'][1]/preceding-sibling::node()"/>
</xsl:when>
<xsl:when test="$biblio_tag_part = 'last'">
<xsl:apply-templates select="./*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'biblio-tag']/*[local-name() = 'tab']" priority="2">
<xsl:text> </xsl:text>
</xsl:template>
<!-- ======================= -->
<!-- END Bibliography rendering -->
<!-- ======================= -->
<!-- ========================================================== -->
<!-- END Reference sections (Normative References and Bibliography) -->
<!-- ========================================================== -->
<!-- =================== -->
<!-- Form's elements processing -->
<!-- =================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'form']">
<fo:block>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'form']//*[local-name() = 'label']">
<fo:inline><xsl:apply-templates/></fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'form']//*[local-name() = 'input'][@type = 'text' or @type = 'date' or @type = 'file' or @type = 'password']">
<fo:inline>
<xsl:call-template name="text_input"/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="text_input">
<xsl:variable name="count">
<xsl:choose>
<xsl:when test="normalize-space(@maxlength) != ''"><xsl:value-of select="@maxlength"/></xsl:when>
<xsl:when test="normalize-space(@size) != ''"><xsl:value-of select="@size"/></xsl:when>
<xsl:otherwise>10</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:call-template name="repeat">
<xsl:with-param name="char" select="'_'"/>
<xsl:with-param name="count" select="$count"/>
</xsl:call-template>
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'form']//*[local-name() = 'input'][@type = 'button']">
<xsl:variable name="caption">
<xsl:choose>
<xsl:when test="normalize-space(@value) != ''"><xsl:value-of select="@value"/></xsl:when>
<xsl:otherwise>BUTTON</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<fo:inline>[<xsl:value-of select="$caption"/>]</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'form']//*[local-name() = 'input'][@type = 'checkbox']">
<fo:inline padding-right="1mm">
<fo:instream-foreign-object fox:alt-text="Box" baseline-shift="-10%">
<xsl:attribute name="height">3.5mm</xsl:attribute>
<xsl:attribute name="content-width">100%</xsl:attribute>
<xsl:attribute name="content-width">scale-down-to-fit</xsl:attribute>
<xsl:attribute name="scaling">uniform</xsl:attribute>
<svg xmlns="http://www.w3.org/2000/svg" width="80" height="80">
<polyline points="0,0 80,0 80,80 0,80 0,0" stroke="black" stroke-width="5" fill="white"/>
</svg>
</fo:instream-foreign-object>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'form']//*[local-name() = 'input'][@type = 'radio']">
<fo:inline padding-right="1mm">
<fo:instream-foreign-object fox:alt-text="Box" baseline-shift="-10%">
<xsl:attribute name="height">3.5mm</xsl:attribute>
<xsl:attribute name="content-width">100%</xsl:attribute>
<xsl:attribute name="content-width">scale-down-to-fit</xsl:attribute>
<xsl:attribute name="scaling">uniform</xsl:attribute>
<svg xmlns="http://www.w3.org/2000/svg" width="80" height="80">
<circle cx="40" cy="40" r="30" stroke="black" stroke-width="5" fill="white"/>
<circle cx="40" cy="40" r="15" stroke="black" stroke-width="5" fill="white"/>
</svg>
</fo:instream-foreign-object>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'form']//*[local-name() = 'select']">
<fo:inline>
<xsl:call-template name="text_input"/>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'form']//*[local-name() = 'textarea']">
<fo:block-container border="1pt solid black" width="50%">
<fo:block> </fo:block>
</fo:block-container>
</xsl:template>
<!-- =================== -->
<!-- End Form's elements processing -->
<!-- =================== -->
<!-- =================== -->
<!-- Table of Contents (ToC) processing -->
<!-- =================== -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="toc_level">
<!-- https://www.metanorma.org/author/ref/document-attributes/ -->
<xsl:variable name="pdftoclevels" select="normalize-space(//*[local-name() = 'metanorma-extension']/*[local-name() = 'presentation-metadata'][*[local-name() = 'name']/text() = 'PDF TOC Heading Levels']/*[local-name() = 'value'])"/> <!-- :toclevels-pdf Number of table of contents levels to render in PDF output; used to override :toclevels:-->
<xsl:variable name="toclevels" select="normalize-space(//*[local-name() = 'metanorma-extension']/*[local-name() = 'presentation-metadata'][*[local-name() = 'name']/text() = 'TOC Heading Levels']/*[local-name() = 'value'])"/> <!-- Number of table of contents levels to render -->
<xsl:choose>
<xsl:when test="$pdftoclevels != ''"><xsl:value-of select="number($pdftoclevels)"/></xsl:when> <!-- if there is value in xml -->
<xsl:when test="$toclevels != ''"><xsl:value-of select="number($toclevels)"/></xsl:when> <!-- if there is value in xml -->
<xsl:otherwise><!-- default value -->
2
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'toc']">
<xsl:param name="colwidths"/>
<xsl:variable name="colwidths_">
<xsl:choose>
<xsl:when test="not($colwidths)">
<xsl:variable name="toc_table_simple">
<tbody>
<xsl:apply-templates mode="toc_table_width"/>
</tbody>
</xsl:variable>
<xsl:variable name="cols-count" select="count(xalan:nodeset($toc_table_simple)/*/tr[1]/td)"/>
<xsl:call-template name="calculate-column-widths-proportional">
<xsl:with-param name="cols-count" select="$cols-count"/>
<xsl:with-param name="table" select="$toc_table_simple"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="$colwidths"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<fo:block role="TOCI" space-after="16pt">
<fo:table width="100%" table-layout="fixed">
<xsl:for-each select="xalan:nodeset($colwidths_)/column">
<fo:table-column column-width="proportional-column-width({.})"/>
</xsl:for-each>
<fo:table-body>
<xsl:apply-templates/>
</fo:table-body>
</fo:table>
</fo:block>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'toc']//*[local-name() = 'li']" priority="2">
<fo:table-row min-height="5mm">
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'toc']//*[local-name() = 'li']/*[local-name() = 'p']">
<xsl:apply-templates/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'toc']//*[local-name() = 'xref']" priority="3">
<!-- <xref target="cgpm9th1948r6">1.6.3<tab/>“9th CGPM, 1948:<tab/>decision to establish the SI”</xref> -->
<xsl:variable name="target" select="@target"/>
<xsl:for-each select="*[local-name() = 'tab']">
<xsl:variable name="current_id" select="generate-id()"/>
<fo:table-cell>
<fo:block line-height-shift-adjustment="disregard-shifts" role="SKIP">
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link internal-destination="{$target}" fox:alt-text="{.}">
<xsl:for-each select="following-sibling::node()[not(self::*[local-name() = 'tab']) and preceding-sibling::*[local-name() = 'tab'][1][generate-id() = $current_id]]">
<xsl:choose>
<xsl:when test="self::text()"><xsl:value-of select="."/></xsl:when>
<xsl:otherwise><xsl:apply-templates select="."/></xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</fo:block>
</fo:table-cell>
</xsl:for-each>
<!-- last column - for page numbers -->
<fo:table-cell text-align="right" font-size="10pt" font-weight="bold" font-family="Arial">
<fo:block role="SKIP">
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link internal-destination="{$target}" fox:alt-text="{.}">
<fo:page-number-citation ref-id="{$target}"/>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</fo:block>
</fo:table-cell>
</xsl:template>
<!-- ================================== -->
<!-- calculate ToC table columns widths -->
<!-- ================================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*" mode="toc_table_width">
<xsl:apply-templates mode="toc_table_width"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'clause'][@type = 'toc']/*[local-name() = 'title']" mode="toc_table_width"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'clause'][not(@type = 'toc')]/*[local-name() = 'title']" mode="toc_table_width"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'li']" mode="toc_table_width">
<tr>
<xsl:apply-templates mode="toc_table_width"/>
</tr>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'xref']" mode="toc_table_width">
<!-- <xref target="cgpm9th1948r6">1.6.3<tab/>“9th CGPM, 1948:<tab/>decision to establish the SI”</xref> -->
<xsl:for-each select="*[local-name() = 'tab']">
<xsl:variable name="current_id" select="generate-id()"/>
<td>
<xsl:for-each select="following-sibling::node()[not(self::*[local-name() = 'tab']) and preceding-sibling::*[local-name() = 'tab'][1][generate-id() = $current_id]]">
<xsl:copy-of select="."/>
</xsl:for-each>
</td>
</xsl:for-each>
<td>333</td> <!-- page number, just for fill -->
</xsl:template>
<!-- ================================== -->
<!-- END: calculate ToC table columns widths -->
<!-- ================================== -->
<!-- =================== -->
<!-- End Table of Contents (ToC) processing -->
<!-- =================== -->
<!-- insert fo:basic-link, if external-destination or internal-destination is non-empty, otherwise insert fo:inline -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insert_basic_link">
<xsl:param name="element"/>
<xsl:variable name="element_node" select="xalan:nodeset($element)"/>
<xsl:variable name="external-destination" select="normalize-space(count($element_node/fo:basic-link/@external-destination[. != '']) = 1)"/>
<xsl:variable name="internal-destination" select="normalize-space(count($element_node/fo:basic-link/@internal-destination[. != '']) = 1)"/>
<xsl:choose>
<xsl:when test="$external-destination = 'true' or $internal-destination = 'true'">
<xsl:copy-of select="$element_node"/>
</xsl:when>
<xsl:otherwise>
<fo:inline>
<xsl:for-each select="$element_node/fo:basic-link/@*[local-name() != 'external-destination' and local-name() != 'internal-destination' and local-name() != 'alt-text']">
<xsl:attribute name="{local-name()}"><xsl:value-of select="."/></xsl:attribute>
</xsl:for-each>
<xsl:copy-of select="$element_node/fo:basic-link/node()"/>
</fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'variant-title']"/> <!-- [@type = 'sub'] -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'variant-title'][@type = 'sub']" mode="subtitle">
<fo:inline padding-right="5mm"> </fo:inline>
<fo:inline><xsl:apply-templates/></fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'blacksquare']" name="blacksquare">
<fo:inline padding-right="2.5mm" baseline-shift="5%">
<fo:instream-foreign-object content-height="2mm" content-width="2mm" fox:alt-text="Quad">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" viewBox="0 0 2 2">
<rect x="0" y="0" width="2" height="2" fill="black"/>
</svg>
</fo:instream-foreign-object>
</fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@language">
<xsl:copy-of select="."/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'p'][@type = 'floating-title' or @type = 'section-title']" priority="4">
<xsl:call-template name="title"/>
</xsl:template>
<!-- ================ -->
<!-- Admonition -->
<!-- ================ -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'admonition']">
<!-- text in the box -->
<fo:block-container id="{@id}" xsl:use-attribute-sets="admonition-style">
<xsl:call-template name="setBlockSpanAll"/>
<fo:block-container xsl:use-attribute-sets="admonition-container-style" role="SKIP">
<fo:block xsl:use-attribute-sets="admonition-name-style">
<xsl:call-template name="displayAdmonitionName"/>
</fo:block>
<fo:block xsl:use-attribute-sets="admonition-p-style">
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="displayAdmonitionName">
<xsl:param name="sep"/> <!-- Example: ' - ' -->
<!-- <xsl:choose>
<xsl:when test="$namespace = 'nist-cswp' or $namespace = 'nist-sp'">
<xsl:choose>
<xsl:when test="@type='important'"><xsl:apply-templates select="@type"/></xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="*[local-name() = 'name']"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="*[local-name() = 'name']"/>
<xsl:if test="not(*[local-name() = 'name'])">
<xsl:apply-templates select="@type"/>
</xsl:if>
</xsl:otherwise>
</xsl:choose> -->
<xsl:variable name="name">
<xsl:apply-templates select="*[local-name() = 'name']"/>
</xsl:variable>
<xsl:copy-of select="$name"/>
<xsl:if test="normalize-space($name) != ''">
<xsl:value-of select="$sep"/>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'admonition']/*[local-name() = 'name']">
<xsl:apply-templates/>
</xsl:template>
<!-- <xsl:template match="*[local-name() = 'admonition']/@type">
<xsl:variable name="admonition_type_">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">admonition.<xsl:value-of select="."/></xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="admonition_type" select="normalize-space(java:toUpperCase(java:java.lang.String.new($admonition_type_)))"/>
<xsl:value-of select="$admonition_type"/>
<xsl:if test="$admonition_type = ''">
<xsl:value-of select="java:toUpperCase(java:java.lang.String.new(.))"/>
</xsl:if>
</xsl:template> -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'admonition']/*[local-name() = 'p']">
<fo:block xsl:use-attribute-sets="admonition-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ================ -->
<!-- END Admonition -->
<!-- ================ -->
<!-- ===================================== -->
<!-- Update xml -->
<!-- ===================================== -->
<!-- =========================================================================== -->
<!-- STEP1: -->
<!-- - Re-order elements in 'preface', 'sections' based on @displayorder -->
<!-- - Put Section title in the correct position -->
<!-- - Ignore 'span' without style -->
<!-- - Remove semantic xml part -->
<!-- - Remove image/emf (EMF vector image for Word) -->
<!-- - add @id, redundant for table auto-layout algorithm -->
<!-- =========================================================================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="update_xml_step1">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="update_xml_step1"/>
</xsl:copy>
</xsl:template>
<!-- change section's order based on @displayorder value -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'preface']" mode="update_xml_step1">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:variable name="nodes_preface_">
<xsl:for-each select="*">
<node id="{@id}"/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="nodes_preface" select="xalan:nodeset($nodes_preface_)"/>
<xsl:for-each select="*">
<xsl:sort select="@displayorder" data-type="number"/>
<!-- process Section's title -->
<xsl:variable name="preceding-sibling_id" select="$nodes_preface/node[@id = current()/@id]/preceding-sibling::node[1]/@id"/>
<xsl:if test="$preceding-sibling_id != ''">
<xsl:apply-templates select="parent::*/*[@type = 'section-title' and @id = $preceding-sibling_id and not(@displayorder)]" mode="update_xml_step1"/>
</xsl:if>
<xsl:choose>
<xsl:when test="@type = 'section-title' and not(@displayorder)"><!-- skip, don't copy, because copied in above 'apply-templates' --></xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="." mode="update_xml_step1"/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sections']" mode="update_xml_step1">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:variable name="nodes_sections_">
<xsl:for-each select="*">
<node id="{@id}"/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="nodes_sections" select="xalan:nodeset($nodes_sections_)"/>
<!-- move section 'Normative references' inside 'sections' -->
<xsl:for-each select="* | ancestor::*[contains(local-name(), '-standard')]/*[local-name()='bibliography']/*[local-name()='references'][@normative='true'] | ancestor::*[contains(local-name(), '-standard')]/*[local-name()='bibliography']/*[local-name()='clause'][*[local-name()='references'][@normative='true']]">
<xsl:sort select="@displayorder" data-type="number"/>
<!-- process Section's title -->
<xsl:variable name="preceding-sibling_id" select="$nodes_sections/node[@id = current()/@id]/preceding-sibling::node[1]/@id"/>
<xsl:if test="$preceding-sibling_id != ''">
<xsl:apply-templates select="parent::*/*[@type = 'section-title' and @id = $preceding-sibling_id and not(@displayorder)]" mode="update_xml_step1"/>
</xsl:if>
<xsl:choose>
<xsl:when test="@type = 'section-title' and not(@displayorder)"><!-- skip, don't copy, because copied in above 'apply-templates' --></xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="." mode="update_xml_step1"/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'bibliography']" mode="update_xml_step1">
<xsl:copy>
<xsl:copy-of select="@*"/>
<!-- copy all elements from bibliography except 'Normative references' (moved to 'sections') -->
<xsl:for-each select="*[not(@normative='true') and not(*[@normative='true'])]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="update_xml_step1"/>
</xsl:for-each>
</xsl:copy>
</xsl:template>
<!-- Example with 'class': <span class="stdpublisher">ISO</span> <span class="stddocNumber">10303</span>-<span class="stddocPartNumber">1</span>:<span class="stdyear">1994</span> -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'span'][@style or @class = 'stdpublisher' or @class = 'stddocNumber' or @class = 'stddocPartNumber' or @class = 'stdyear']" mode="update_xml_step1" priority="2">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:copy>
</xsl:template>
<!-- Note: to enable the addition of character span markup with semantic styling for DIS Word output -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'span']" mode="update_xml_step1">
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'sections']/*[local-name() = 'p'][starts-with(@class, 'zzSTDTitle')]/*[local-name() = 'span'][@class] | *[local-name() = 'sourcecode']//*[local-name() = 'span'][@class]" mode="update_xml_step1" priority="2">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:copy>
</xsl:template>
<!-- remove semantic xml -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'metanorma-extension']/*[local-name() = 'metanorma']/*[local-name() = 'source']" mode="update_xml_step1"/>
<!-- remove image/emf -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'image']/*[local-name() = 'emf']" mode="update_xml_step1"/>
<!-- remove preprocess-xslt -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'preprocess-xslt']" mode="update_xml_step1"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'stem'] | *[local-name() = 'image'] | *[local-name() = 'sourcecode'] | *[local-name() = 'bibdata'] | *[local-name() = 'localized-strings']" mode="update_xml_step1">
<xsl:copy-of select="."/>
</xsl:template>
<!-- add @id, mandatory for table auto-layout algorithm -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'dl' or local-name() = 'table'][not(@id)]" mode="update_xml_step1">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:call-template name="add_id"/>
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:copy>
</xsl:template>
<!-- prevent empty thead processing in XSL-FO, remove it -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'table']/*[local-name() = 'thead'][count(*) = 0]" mode="update_xml_step1"/>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add_id">
<xsl:if test="not(@id)">
<!-- add @id - first element with @id plus '_element_name' -->
<xsl:attribute name="id"><xsl:value-of select="(.//*[@id])[1]/@id"/>_<xsl:value-of select="local-name()"/></xsl:attribute>
</xsl:if>
</xsl:template>
<!-- optimization: remove clause if table_only_with_id isn't empty and clause doesn't contain table or dl with table_only_with_id -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'clause' or local-name() = 'p' or local-name() = 'definitions' or local-name() = 'annex']" mode="update_xml_step1">
<xsl:choose>
<xsl:when test="($table_only_with_id != '' or $table_only_with_ids != '') and local-name() = 'p' and (ancestor::*[local-name() = 'table' or local-name() = 'dl' or local-name() = 'toc'])">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:copy>
</xsl:when>
<!-- for table auto-layout algorithm -->
<xsl:when test="$table_only_with_id != '' and not(.//*[local-name() = 'table' or local-name() = 'dl'][@id = $table_only_with_id])">
<xsl:copy>
<xsl:copy-of select="@*"/>
</xsl:copy>
</xsl:when>
<!-- for table auto-layout algorithm -->
<xsl:when test="$table_only_with_ids != '' and not(.//*[local-name() = 'table' or local-name() = 'dl'][contains($table_only_with_ids, concat(@id, ' '))])">
<xsl:copy>
<xsl:copy-of select="@*"/>
</xsl:copy>
</xsl:when>
<xsl:otherwise>
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:copy>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- =========================================================================== -->
<!-- END STEP1: Re-order elements in 'preface', 'sections' based on @displayorder -->
<!-- =========================================================================== -->
<!-- =========================================================================== -->
<!-- STEP MOVE PAGEBREAK: move <pagebreak/> at top level under 'preface' and 'sections' -->
<!-- =========================================================================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="update_xml_step_move_pagebreak">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="update_xml_step_move_pagebreak"/>
</xsl:copy>
</xsl:template>
<!-- replace 'pagebreak' by closing tags + page_sequence and opening page_sequence + tags -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'pagebreak'][not(following-sibling::*[1][local-name() = 'pagebreak'])]" mode="update_xml_step_move_pagebreak">
<!-- <xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'sections']">
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'annex']">
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="."/>
</xsl:otherwise>
</xsl:choose> -->
<!-- determine pagebreak is last element before </fo:flow> or not -->
<xsl:variable name="isLast">
<xsl:for-each select="ancestor-or-self::*[ancestor::*[local-name() = 'sections'] or ancestor-or-self::*[local-name() = 'annex']]">
<xsl:if test="following-sibling::*">false</xsl:if>
</xsl:for-each>
</xsl:variable>
<xsl:if test="contains($isLast, 'false')">
<xsl:variable name="orientation" select="normalize-space(@orientation)"/>
<xsl:variable name="tree_">
<xsl:call-template name="makeAncestorsElementsTree"/>
</xsl:variable>
<xsl:variable name="tree" select="xalan:nodeset($tree_)"/>
<!-- close fo:page-sequence (closing preceding fo elements) -->
<xsl:call-template name="insertClosingElements">
<xsl:with-param name="tree" select="$tree"/>
</xsl:call-template>
<xsl:text disable-output-escaping="yes"></page_sequence></xsl:text>
<!-- create a new page_sequence (opening elements) -->
<xsl:text disable-output-escaping="yes"><page_sequence namespace="</xsl:text><xsl:value-of select="$namespace_full"/>"<xsl:if test="$orientation != ''"> orientation="<xsl:value-of select="$orientation"/>"</xsl:if><xsl:text disable-output-escaping="yes">></xsl:text>
<xsl:call-template name="insertOpeningElements">
<xsl:with-param name="tree" select="$tree"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="makeAncestorsElementsTree">
<xsl:for-each select="ancestor::*[ancestor::*[local-name() = 'sections'] or ancestor-or-self::*[local-name() = 'annex']]">
<element pos="{position()}">
<xsl:copy-of select="@*[local-name() != 'id']"/>
<xsl:value-of select="name()"/>
</element>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertClosingElements">
<xsl:param name="tree"/>
<xsl:for-each select="$tree//element">
<xsl:sort data-type="number" order="descending" select="@pos"/>
<xsl:text disable-output-escaping="yes"></</xsl:text>
<xsl:value-of select="."/>
<xsl:text disable-output-escaping="yes">></xsl:text>
<xsl:if test="$debug = 'true'">
<xsl:message></<xsl:value-of select="."/>></xsl:message>
</xsl:if>
</xsl:for-each>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertOpeningElements">
<xsl:param name="tree"/>
<xsl:for-each select="$tree//element">
<xsl:text disable-output-escaping="yes"><</xsl:text>
<xsl:value-of select="."/>
<xsl:for-each select="@*[local-name() != 'pos']">
<xsl:text> </xsl:text>
<xsl:value-of select="local-name()"/>
<xsl:text>="</xsl:text>
<xsl:value-of select="."/>
<xsl:text>"</xsl:text>
</xsl:for-each>
<xsl:if test="position() = 1"> continue="true"</xsl:if>
<xsl:text disable-output-escaping="yes">></xsl:text>
<xsl:if test="$debug = 'true'">
<xsl:message><<xsl:value-of select="."/>></xsl:message>
</xsl:if>
</xsl:for-each>
</xsl:template>
<!-- move full page width figures, tables at top level -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'figure' or local-name() = 'table'][normalize-space(@width) != 'text-width']" mode="update_xml_step_move_pagebreak">
<xsl:choose>
<xsl:when test="$layout_columns != 1">
<xsl:variable name="tree_">
<xsl:call-template name="makeAncestorsElementsTree"/>
</xsl:variable>
<xsl:variable name="tree" select="xalan:nodeset($tree_)"/>
<xsl:call-template name="insertClosingElements">
<xsl:with-param name="tree" select="$tree"/>
</xsl:call-template>
<!-- <xsl:copy-of select="."/> -->
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:attribute name="top-level">true</xsl:attribute>
<xsl:copy-of select="node()"/>
</xsl:copy>
<xsl:call-template name="insertOpeningElements">
<xsl:with-param name="tree" select="$tree"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- =========================================================================== -->
<!-- END STEP MOVE PAGEBREAK: move <pagebreak/> at top level under 'preface' and 'sections' -->
<!-- =========================================================================== -->
<!-- =========================================================================== -->
<!-- XML UPDATE STEP: enclose standard's name into tag 'keep-together_within-line' -->
<!-- keep-together_within-line for: a/b, aaa/b, a/bbb, /b -->
<!-- keep-together_within-line for: a.b, aaa.b, a.bbb, .b in table's cell ONLY -->
<!-- =========================================================================== -->
<!-- Example: <keep-together_within-line>ISO 10303-51</keep-together_within-line> -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="update_xml_enclose_keep-together_within-line">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="update_xml_enclose_keep-together_within-line"/>
</xsl:copy>
</xsl:template>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="express_reference_separators">_.\</xsl:variable>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="express_reference_characters" select="concat($upper,$lower,'1234567890',$express_reference_separators)"/>
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="element_name_keep-together_within-line">keep-together_within-line</xsl:variable>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="text()[not(ancestor::*[local-name() = 'bibdata'] or ancestor::*[local-name() = 'link'][not(contains(.,' '))] or ancestor::*[local-name() = 'sourcecode'] or ancestor::*[local-name() = 'math'] or ancestor::*[local-name() = 'svg'] or starts-with(., 'http://') or starts-with(., 'https://') or starts-with(., 'www.') )]" name="keep_together_standard_number" mode="update_xml_enclose_keep-together_within-line">
<!-- enclose standard's number into tag 'keep-together_within-line' -->
<xsl:variable name="tag_keep-together_within-line_open">###<xsl:value-of select="$element_name_keep-together_within-line"/>###</xsl:variable>
<xsl:variable name="tag_keep-together_within-line_close">###/<xsl:value-of select="$element_name_keep-together_within-line"/>###</xsl:variable>
<xsl:variable name="text__" select="java:replaceAll(java:java.lang.String.new(.), $regex_standard_reference, concat($tag_keep-together_within-line_open,'$1',$tag_keep-together_within-line_close))"/>
<xsl:variable name="text_">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'table']"><xsl:value-of select="."/></xsl:when> <!-- no need enclose standard's number into tag 'keep-together_within-line' in table cells -->
<xsl:otherwise><xsl:value-of select="$text__"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="text"><text><xsl:call-template name="replace_text_tags">
<xsl:with-param name="tag_open" select="$tag_keep-together_within-line_open"/>
<xsl:with-param name="tag_close" select="$tag_keep-together_within-line_close"/>
<xsl:with-param name="text" select="$text_"/>
</xsl:call-template></text></xsl:variable>
<xsl:variable name="parent" select="local-name(..)"/>
<xsl:variable name="text2">
<text><xsl:for-each select="xalan:nodeset($text)/text/node()">
<xsl:copy-of select="."/>
</xsl:for-each></text>
</xsl:variable>
<!-- keep-together_within-line for: a/b, aaa/b, a/bbb, /b -->
<!-- \S matches any non-whitespace character (equivalent to [^\r\n\t\f\v ]) -->
<!-- <xsl:variable name="regex_solidus_units">((\b((\S{1,3}\/\S+)|(\S+\/\S{1,3}))\b)|(\/\S{1,3})\b)</xsl:variable> -->
<!-- add < and > to \S -->
<xsl:variable name="regex_S">[^\r\n\t\f\v \<>\u3000-\u9FFF]</xsl:variable>
<xsl:variable name="regex_solidus_units">((\b((<xsl:value-of select="$regex_S"/>{1,3}\/<xsl:value-of select="$regex_S"/>+)|(<xsl:value-of select="$regex_S"/>+\/<xsl:value-of select="$regex_S"/>{1,3}))\b)|(\/<xsl:value-of select="$regex_S"/>{1,3})\b)</xsl:variable>
<xsl:variable name="text3">
<text><xsl:for-each select="xalan:nodeset($text2)/text/node()">
<xsl:choose>
<xsl:when test="self::text()">
<xsl:variable name="text_units_" select="java:replaceAll(java:java.lang.String.new(.),$regex_solidus_units,concat($tag_keep-together_within-line_open,'$1',$tag_keep-together_within-line_close))"/>
<xsl:variable name="text_units"><text><xsl:call-template name="replace_text_tags">
<xsl:with-param name="tag_open" select="$tag_keep-together_within-line_open"/>
<xsl:with-param name="tag_close" select="$tag_keep-together_within-line_close"/>
<xsl:with-param name="text" select="$text_units_"/>
</xsl:call-template></text></xsl:variable>
<xsl:copy-of select="xalan:nodeset($text_units)/text/node()"/>
</xsl:when>
<xsl:otherwise><xsl:copy-of select="."/></xsl:otherwise> <!-- copy 'as-is' for <fo:inline keep-together.within-line="always" ... -->
</xsl:choose>
</xsl:for-each></text>
</xsl:variable>
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'td' or local-name() = 'th']">
<!-- keep-together_within-line for: a.b, aaa.b, a.bbb, .b in table's cell ONLY -->
<xsl:variable name="non_white_space">[^\s\u3000-\u9FFF]</xsl:variable>
<xsl:variable name="regex_dots_units">((\b((<xsl:value-of select="$non_white_space"/>{1,3}\.<xsl:value-of select="$non_white_space"/>+)|(<xsl:value-of select="$non_white_space"/>+\.<xsl:value-of select="$non_white_space"/>{1,3}))\b)|(\.<xsl:value-of select="$non_white_space"/>{1,3})\b)</xsl:variable>
<xsl:for-each select="xalan:nodeset($text3)/text/node()">
<xsl:choose>
<xsl:when test="self::text()">
<xsl:variable name="text_dots_" select="java:replaceAll(java:java.lang.String.new(.),$regex_dots_units,concat($tag_keep-together_within-line_open,'$1',$tag_keep-together_within-line_close))"/>
<xsl:variable name="text_dots"><text><xsl:call-template name="replace_text_tags">
<xsl:with-param name="tag_open" select="$tag_keep-together_within-line_open"/>
<xsl:with-param name="tag_close" select="$tag_keep-together_within-line_close"/>
<xsl:with-param name="text" select="$text_dots_"/>
</xsl:call-template></text></xsl:variable>
<xsl:copy-of select="xalan:nodeset($text_dots)/text/node()"/>
</xsl:when>
<xsl:otherwise><xsl:copy-of select="."/></xsl:otherwise> <!-- copy 'as-is' for <fo:inline keep-together.within-line="always" ... -->
</xsl:choose>
</xsl:for-each>
</xsl:when>
<xsl:otherwise><xsl:copy-of select="xalan:nodeset($text3)/text/node()"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'stem'] | *[local-name() = 'image']" mode="update_xml_enclose_keep-together_within-line">
<xsl:copy-of select="."/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="replace_text_tags">
<xsl:param name="tag_open"/>
<xsl:param name="tag_close"/>
<xsl:param name="text"/>
<xsl:choose>
<xsl:when test="contains($text, $tag_open)">
<xsl:value-of select="substring-before($text, $tag_open)"/>
<xsl:variable name="text_after" select="substring-after($text, $tag_open)"/>
<xsl:element name="{substring-before(substring-after($tag_open, '###'),'###')}">
<xsl:value-of select="substring-before($text_after, $tag_close)"/>
</xsl:element>
<xsl:call-template name="replace_text_tags">
<xsl:with-param name="tag_open" select="$tag_open"/>
<xsl:with-param name="tag_close" select="$tag_close"/>
<xsl:with-param name="text" select="substring-after($text_after, $tag_close)"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise><xsl:value-of select="$text"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ===================================== -->
<!-- END XML UPDATE STEP: enclose standard's name into tag 'keep-together_within-line' -->
<!-- ===================================== -->
<!-- ===================================== -->
<!-- ===================================== -->
<!-- Make linear XML (need for landscape orientation) -->
<!-- ===================================== -->
<!-- ===================================== -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="@*|node()" mode="linear_xml">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="linear_xml"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="processing-instruction()" mode="linear_xml">
<xsl:copy-of select="."/>
</xsl:template>
<!-- From:
<clause>
<title>...</title>
<p>...</p>
</clause>
To:
<clause/>
<title>...</title>
<p>...</p>
-->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'foreword'] | *[local-name() = 'foreword']//*[local-name() = 'clause'] | *[local-name() = 'preface']//*[local-name() = 'clause'][not(@type = 'corrigenda') and not(@type = 'policy') and not(@type = 'related-refs')] | *[local-name() = 'introduction'] | *[local-name() = 'introduction']//*[local-name() = 'clause'] | *[local-name() = 'sections']//*[local-name() = 'clause'] | *[local-name() = 'annex'] | *[local-name() = 'annex']//*[local-name() = 'clause'] | *[local-name() = 'references'][not(@hidden = 'true')] | *[local-name() = 'bibliography']/*[local-name() = 'clause'] | *[local-name() = 'colophon'] | *[local-name() = 'colophon']//*[local-name() = 'clause'] | *[local-name()='sections']//*[local-name()='terms'] | *[local-name()='sections']//*[local-name()='definitions'] | *[local-name()='annex']//*[local-name()='definitions']" mode="linear_xml" name="clause_linear">
<xsl:copy>
<xsl:apply-templates select="@*" mode="linear_xml"/>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:if test="local-name() = 'foreword' or local-name() = 'introduction' or local-name(..) = 'preface' or local-name(..) = 'sections' or (local-name() = 'references' and parent::*[local-name() = 'bibliography']) or (local-name() = 'clause' and parent::*[local-name() = 'bibliography']) or local-name() = 'annex' or local-name(..) = 'annex' or local-name(..) = 'colophon'">
<xsl:attribute name="mainsection">true</xsl:attribute>
</xsl:if>
</xsl:copy>
<xsl:apply-templates mode="linear_xml"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'term']" mode="linear_xml" priority="2">
<xsl:copy>
<xsl:apply-templates select="@*" mode="linear_xml"/>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<xsl:attribute name="depth"><xsl:value-of select="$level"/></xsl:attribute>
<xsl:attribute name="ancestor">sections</xsl:attribute>
<xsl:apply-templates select="node()[not(local-name() = 'term')]" mode="linear_xml"/>
</xsl:copy>
<xsl:apply-templates select="*[local-name() = 'term']" mode="linear_xml"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'introduction']//*[local-name() = 'title'] | *[local-name() = 'foreword']//*[local-name() = 'title'] | *[local-name() = 'preface']//*[local-name() = 'title'] | *[local-name() = 'sections']//*[local-name() = 'title'] | *[local-name() = 'annex']//*[local-name() = 'title'] | *[local-name() = 'bibliography']/*[local-name() = 'clause']/*[local-name() = 'title'] | *[local-name() = 'references']/*[local-name() = 'title'] | *[local-name() = 'colophon']//*[local-name() = 'title']" mode="linear_xml" priority="2">
<xsl:copy>
<xsl:apply-templates select="@*" mode="linear_xml"/>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<xsl:attribute name="depth"><xsl:value-of select="$level"/></xsl:attribute>
<xsl:if test="parent::*[local-name() = 'annex']">
<xsl:attribute name="depth">1</xsl:attribute>
</xsl:if>
<xsl:if test="../@inline-header = 'true' and following-sibling::*[1][local-name() = 'p']">
<xsl:copy-of select="../@inline-header"/>
</xsl:if>
<xsl:variable name="ancestor">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'foreword']">foreword</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'introduction']">introduction</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'sections']">sections</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'annex']">annex</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'bibliography']">bibliography</xsl:when>
</xsl:choose>
</xsl:variable>
<xsl:attribute name="ancestor">
<xsl:value-of select="$ancestor"/>
</xsl:attribute>
<xsl:attribute name="parent">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'preface']">preface</xsl:when>
<xsl:otherwise><xsl:value-of select="$ancestor"/></xsl:otherwise>
</xsl:choose>
</xsl:attribute>
<xsl:apply-templates mode="linear_xml"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'li']" mode="linear_xml" priority="2">
<xsl:copy>
<xsl:apply-templates select="@*" mode="linear_xml"/>
<xsl:variable name="ancestor">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'preface']">preface</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'sections']">sections</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'annex']">annex</xsl:when>
</xsl:choose>
</xsl:variable>
<xsl:attribute name="ancestor">
<xsl:value-of select="$ancestor"/>
</xsl:attribute>
<xsl:apply-templates mode="linear_xml"/>
</xsl:copy>
</xsl:template>
<!-- add @to = figure, table, clause -->
<!-- add @depth = from -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'xref']" mode="linear_xml">
<xsl:copy>
<xsl:apply-templates select="@*" mode="linear_xml"/>
<xsl:variable name="target" select="@target"/>
<xsl:attribute name="to">
<xsl:value-of select="local-name(//*[@id = current()/@target][1])"/>
</xsl:attribute>
<xsl:attribute name="depth">
<xsl:value-of select="//*[@id = current()/@target][1]/*[local-name() = 'title']/@depth"/>
</xsl:attribute>
<xsl:apply-templates select="node()" mode="linear_xml"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[not(ancestor::*[local-name() = 'sourcecode'])]/*[local-name() = 'p' or local-name() = 'strong' or local-name() = 'em']/text()" mode="linear_xml">
<xsl:choose>
<xsl:when test="contains(., $non_breaking_hyphen)">
<xsl:call-template name="replaceChar">
<xsl:with-param name="text" select="."/>
<xsl:with-param name="replace" select="$non_breaking_hyphen"/>
<xsl:with-param name="by" select="'-'"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise><xsl:value-of select="."/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="replaceChar">
<xsl:param name="text"/>
<xsl:param name="replace"/>
<xsl:param name="by"/>
<xsl:choose>
<xsl:when test="$text = '' or $replace = '' or not($replace)">
<xsl:value-of select="$text"/>
</xsl:when>
<xsl:when test="contains($text, $replace)">
<xsl:value-of select="substring-before($text,$replace)"/>
<xsl:element name="inlineChar" namespace="https://www.metanorma.org/ns/jis"><xsl:value-of select="$by"/></xsl:element>
<xsl:call-template name="replaceChar">
<xsl:with-param name="text" select="substring-after($text,$replace)"/>
<xsl:with-param name="replace" select="$replace"/>
<xsl:with-param name="by" select="$by"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$text"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'inlineChar']">
<fo:inline><xsl:value-of select="."/></fo:inline>
</xsl:template>
<!-- change @reference to actual value, and add skip_footnote_body="true" for repeatable (2nd, 3rd, ...) -->
<!--
<fn reference="1">
<p id="_8e5cf917-f75a-4a49-b0aa-1714cb6cf954">Formerly denoted as 15 % (m/m).</p>
</fn>
-->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'fn'][not(ancestor::*[(local-name() = 'table' or local-name() = 'figure')] and not(ancestor::*[local-name() = 'name']))]" mode="linear_xml" name="linear_xml_fn">
<xsl:variable name="p_fn_">
<xsl:call-template name="get_fn_list"/>
<!-- <xsl:choose>
<xsl:when test="$namespace = 'jis'">
<xsl:call-template name="get_fn_list_for_element"/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="get_fn_list"/>
</xsl:otherwise>
</xsl:choose> -->
</xsl:variable>
<xsl:variable name="p_fn" select="xalan:nodeset($p_fn_)"/>
<xsl:variable name="gen_id" select="generate-id(.)"/>
<xsl:variable name="lang" select="ancestor::*[contains(local-name(), '-standard')]/*[local-name()='bibdata']//*[local-name()='language'][@current = 'true']"/>
<xsl:variable name="reference" select="@reference"/>
<!-- fn sequence number in document -->
<xsl:variable name="current_fn_number" select="count($p_fn//fn[@reference = $reference]/preceding-sibling::fn) + 1"/>
<xsl:copy>
<xsl:apply-templates select="@*" mode="linear_xml"/>
<!-- put actual reference number -->
<xsl:attribute name="current_fn_number">
<xsl:value-of select="$current_fn_number"/>
</xsl:attribute>
<xsl:variable name="skip_footnote_body_" select="not($p_fn//fn[@gen_id = $gen_id] and (1 = 1))"/>
<xsl:attribute name="skip_footnote_body"> <!-- false for repeatable footnote -->
<xsl:value-of select="$skip_footnote_body_"/>
</xsl:attribute>
<xsl:attribute name="ref_id">
<xsl:value-of select="concat('footnote_', $lang, '_', $reference, '_', $current_fn_number)"/>
</xsl:attribute>
<xsl:apply-templates select="node()" mode="linear_xml"/>
</xsl:copy>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'p'][@type = 'section-title']" priority="3" mode="linear_xml">
<xsl:copy>
<xsl:apply-templates select="@*" mode="linear_xml"/>
<xsl:if test="@depth = '1'">
<xsl:attribute name="mainsection">true</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="node()" mode="linear_xml"/>
</xsl:copy>
</xsl:template>
<!-- ===================================== -->
<!-- ===================================== -->
<!-- END: Make linear XML (need for landscape orientation) -->
<!-- ===================================== -->
<!-- ===================================== -->
<!-- for correct rendering combining chars -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*[local-name() = 'lang_none']">
<fo:inline xml:lang="none"><xsl:value-of select="."/></fo:inline>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="printEdition">
<xsl:variable name="edition_i18n" select="normalize-space((//*[contains(local-name(), '-standard')])[1]/*[local-name() = 'bibdata']/*[local-name() = 'edition'][normalize-space(@language) != ''])"/>
<xsl:choose>
<xsl:when test="$edition_i18n != ''">
<!-- Example: <edition language="fr">deuxième édition</edition> -->
<xsl:call-template name="capitalize">
<xsl:with-param name="str" select="$edition_i18n"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="edition" select="normalize-space((//*[contains(local-name(), '-standard')])[1]/*[local-name() = 'bibdata']/*[local-name() = 'edition'])"/>
<xsl:if test="$edition != ''"> <!-- Example: 1.3 -->
<xsl:call-template name="capitalize">
<xsl:with-param name="str">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">edition</xsl:with-param>
</xsl:call-template>
</xsl:with-param>
</xsl:call-template>
<xsl:text> </xsl:text>
<xsl:value-of select="$edition"/>
</xsl:if>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- convert YYYY-MM-DD to 'Month YYYY' or 'Month DD, YYYY' or DD Month YYYY -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="convertDate">
<xsl:param name="date"/>
<xsl:param name="format" select="'short'"/>
<xsl:variable name="year" select="substring($date, 1, 4)"/>
<xsl:variable name="month" select="substring($date, 6, 2)"/>
<xsl:variable name="day" select="substring($date, 9, 2)"/>
<xsl:variable name="monthStr">
<xsl:call-template name="getMonthByNum">
<xsl:with-param name="num" select="$month"/>
<xsl:with-param name="lowercase" select="'true'"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="monthStr_localized">
<xsl:if test="normalize-space($monthStr) != ''"><xsl:call-template name="getLocalizedString"><xsl:with-param name="key">month_<xsl:value-of select="$monthStr"/></xsl:with-param></xsl:call-template></xsl:if>
</xsl:variable>
<xsl:variable name="result">
<xsl:choose>
<xsl:when test="$format = 'ddMMyyyy'"> <!-- convert date from format 2007-04-01 to 1 April 2007 -->
<xsl:if test="$day != ''"><xsl:value-of select="number($day)"/></xsl:if>
<xsl:text> </xsl:text>
<xsl:value-of select="normalize-space(concat($monthStr_localized, ' ' , $year))"/>
</xsl:when>
<xsl:when test="$format = 'ddMM'">
<xsl:if test="$day != ''"><xsl:value-of select="number($day)"/></xsl:if>
<xsl:text> </xsl:text><xsl:value-of select="$monthStr_localized"/>
</xsl:when>
<xsl:when test="$format = 'short' or $day = ''">
<xsl:value-of select="normalize-space(concat($monthStr_localized, ' ', $year))"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="normalize-space(concat($monthStr_localized, ' ', $day, ', ' , $year))"/> <!-- January 01, 2022 -->
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:value-of select="$result"/>
</xsl:template> <!-- convertDate -->
<!-- return Month's name by number -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getMonthByNum">
<xsl:param name="num"/>
<xsl:param name="lang">en</xsl:param>
<xsl:param name="lowercase">false</xsl:param> <!-- return 'january' instead of 'January' -->
<xsl:variable name="monthStr_">
<xsl:choose>
<xsl:when test="$lang = 'fr'">
<xsl:choose>
<xsl:when test="$num = '01'">Janvier</xsl:when>
<xsl:when test="$num = '02'">Février</xsl:when>
<xsl:when test="$num = '03'">Mars</xsl:when>
<xsl:when test="$num = '04'">Avril</xsl:when>
<xsl:when test="$num = '05'">Mai</xsl:when>
<xsl:when test="$num = '06'">Juin</xsl:when>
<xsl:when test="$num = '07'">Juillet</xsl:when>
<xsl:when test="$num = '08'">Août</xsl:when>
<xsl:when test="$num = '09'">Septembre</xsl:when>
<xsl:when test="$num = '10'">Octobre</xsl:when>
<xsl:when test="$num = '11'">Novembre</xsl:when>
<xsl:when test="$num = '12'">Décembre</xsl:when>
</xsl:choose>
</xsl:when>
<xsl:otherwise>
<xsl:choose>
<xsl:when test="$num = '01'">January</xsl:when>
<xsl:when test="$num = '02'">February</xsl:when>
<xsl:when test="$num = '03'">March</xsl:when>
<xsl:when test="$num = '04'">April</xsl:when>
<xsl:when test="$num = '05'">May</xsl:when>
<xsl:when test="$num = '06'">June</xsl:when>
<xsl:when test="$num = '07'">July</xsl:when>
<xsl:when test="$num = '08'">August</xsl:when>
<xsl:when test="$num = '09'">September</xsl:when>
<xsl:when test="$num = '10'">October</xsl:when>
<xsl:when test="$num = '11'">November</xsl:when>
<xsl:when test="$num = '12'">December</xsl:when>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:choose>
<xsl:when test="normalize-space($lowercase) = 'true'">
<xsl:value-of select="java:toLowerCase(java:java.lang.String.new($monthStr_))"/>
</xsl:when>
<xsl:otherwise><xsl:value-of select="$monthStr_"/></xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- getMonthByNum -->
<!-- return Month's name by number from localized strings -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getMonthLocalizedByNum">
<xsl:param name="num"/>
<xsl:variable name="monthStr">
<xsl:choose>
<xsl:when test="$num = '01'">january</xsl:when>
<xsl:when test="$num = '02'">february</xsl:when>
<xsl:when test="$num = '03'">march</xsl:when>
<xsl:when test="$num = '04'">april</xsl:when>
<xsl:when test="$num = '05'">may</xsl:when>
<xsl:when test="$num = '06'">june</xsl:when>
<xsl:when test="$num = '07'">july</xsl:when>
<xsl:when test="$num = '08'">august</xsl:when>
<xsl:when test="$num = '09'">september</xsl:when>
<xsl:when test="$num = '10'">october</xsl:when>
<xsl:when test="$num = '11'">november</xsl:when>
<xsl:when test="$num = '12'">december</xsl:when>
</xsl:choose>
</xsl:variable>
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">month_<xsl:value-of select="$monthStr"/></xsl:with-param>
</xsl:call-template>
</xsl:template> <!-- getMonthLocalizedByNum -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertKeywords">
<xsl:param name="sorting" select="'true'"/>
<xsl:param name="meta" select="'false'"/>
<xsl:param name="charAtEnd" select="'.'"/>
<xsl:param name="charDelim" select="', '"/>
<xsl:choose>
<xsl:when test="$sorting = 'true' or $sorting = 'yes'">
<xsl:for-each select="//*[contains(local-name(), '-standard')]/*[local-name() = 'bibdata']//*[local-name() = 'keyword']">
<xsl:sort data-type="text" order="ascending"/>
<xsl:call-template name="insertKeyword">
<xsl:with-param name="meta" select="$meta"/>
<xsl:with-param name="charAtEnd" select="$charAtEnd"/>
<xsl:with-param name="charDelim" select="$charDelim"/>
</xsl:call-template>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<xsl:for-each select="//*[contains(local-name(), '-standard')]/*[local-name() = 'bibdata']//*[local-name() = 'keyword']">
<xsl:call-template name="insertKeyword">
<xsl:with-param name="meta" select="$meta"/>
<xsl:with-param name="charAtEnd" select="$charAtEnd"/>
<xsl:with-param name="charDelim" select="$charDelim"/>
</xsl:call-template>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="insertKeyword">
<xsl:param name="charAtEnd"/>
<xsl:param name="charDelim"/>
<xsl:param name="meta"/>
<xsl:choose>
<xsl:when test="$meta = 'true'">
<xsl:value-of select="."/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
<xsl:choose>
<xsl:when test="position() != last()"><xsl:value-of select="$charDelim"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$charAtEnd"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="addPDFUAmeta">
<pdf:catalog xmlns:pdf="http://xmlgraphics.apache.org/fop/extensions/pdf">
<pdf:dictionary type="normal" key="ViewerPreferences">
<pdf:boolean key="DisplayDocTitle">true</pdf:boolean>
</pdf:dictionary>
</pdf:catalog>
<x:xmpmeta xmlns:x="adobe:ns:meta/">
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
<rdf:Description xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:pdf="http://ns.adobe.com/pdf/1.3/" rdf:about="">
<!-- Dublin Core properties go here -->
<dc:title>
<xsl:variable name="title">
<xsl:for-each select="(//*[contains(local-name(), '-standard')])[1]/*[local-name() = 'bibdata']">
<xsl:value-of select="*[local-name() = 'title'][@language = $lang]"/>
</xsl:for-each>
</xsl:variable>
<xsl:choose>
<xsl:when test="normalize-space($title) != ''">
<xsl:value-of select="$title"/>
</xsl:when>
<xsl:otherwise>
<xsl:text> </xsl:text>
</xsl:otherwise>
</xsl:choose>
</dc:title>
<dc:creator>
<xsl:for-each select="(//*[contains(local-name(), '-standard')])[1]/*[local-name() = 'bibdata']">
<xsl:for-each select="*[local-name() = 'contributor'][*[local-name() = 'role']/@type='author']">
<xsl:value-of select="*[local-name() = 'organization']/*[local-name() = 'name']"/>
<xsl:if test="position() != last()">; </xsl:if>
</xsl:for-each>
</xsl:for-each>
</dc:creator>
<dc:description>
<xsl:variable name="abstract">
<xsl:copy-of select="//*[contains(local-name(), '-standard')]/*[local-name() = 'preface']/*[local-name() = 'abstract']//text()[not(ancestor::*[local-name() = 'title'])]"/>
</xsl:variable>
<xsl:value-of select="normalize-space($abstract)"/>
</dc:description>
<pdf:Keywords>
<xsl:call-template name="insertKeywords">
<xsl:with-param name="meta">true</xsl:with-param>
</xsl:call-template>
</pdf:Keywords>
</rdf:Description>
<rdf:Description xmlns:xmp="http://ns.adobe.com/xap/1.0/" rdf:about="">
<!-- XMP properties go here -->
<xmp:CreatorTool/>
</rdf:Description>
</rdf:RDF>
</x:xmpmeta>
<!-- add attachments -->
<xsl:for-each select="//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'attachment']">
<xsl:choose>
<xsl:when test="normalize-space() != ''">
<pdf:embedded-file xmlns:pdf="http://xmlgraphics.apache.org/fop/extensions/pdf" src="{.}" filename="{@name}"/>
</xsl:when>
<xsl:otherwise>
<!-- _{filename}_attachments -->
<xsl:variable name="url" select="concat('url(file:///',$inputxml_basepath, '_', $inputxml_filename_prefix, '_attachments', '/', @name, ')')"/>
<pdf:embedded-file xmlns:pdf="http://xmlgraphics.apache.org/fop/extensions/pdf" src="{$url}" filename="{@name}"/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:template> <!-- addPDFUAmeta -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getId">
<xsl:choose>
<xsl:when test="../@id">
<xsl:value-of select="../@id"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="concat(generate-id(..), '_', text())"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- Get or calculate depth of the element -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getLevel">
<xsl:param name="depth"/>
<xsl:choose>
<xsl:when test="normalize-space(@depth) != ''">
<xsl:value-of select="@depth"/>
</xsl:when>
<xsl:when test="normalize-space($depth) != ''">
<xsl:value-of select="$depth"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="level_total" select="count(ancestor::*[local-name() != 'page_sequence'])"/>
<xsl:variable name="level">
<xsl:choose>
<xsl:when test="parent::*[local-name() = 'preface']">
<xsl:value-of select="$level_total - 1"/>
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'preface'] and not(ancestor::*[local-name() = 'foreword']) and not(ancestor::*[local-name() = 'introduction'])"> <!-- for preface/clause -->
<xsl:value-of select="$level_total - 1"/>
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'preface']">
<xsl:value-of select="$level_total - 2"/>
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'sections']">
<xsl:value-of select="$level_total - 1"/>
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'bibliography']">
<xsl:value-of select="$level_total - 1"/>
</xsl:when>
<xsl:when test="parent::*[local-name() = 'annex']">
<xsl:value-of select="$level_total - 1"/>
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'annex']">
<xsl:value-of select="$level_total"/>
</xsl:when>
<xsl:when test="local-name() = 'annex'">1</xsl:when>
<xsl:when test="local-name(ancestor::*[1]) = 'annex'">1</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$level_total - 1"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:value-of select="$level"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- getLevel -->
<!-- Get or calculate depth of term's name -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getLevelTermName">
<xsl:choose>
<xsl:when test="normalize-space(../@depth) != ''">
<xsl:value-of select="../@depth"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="title_level_">
<xsl:for-each select="../preceding-sibling::*[local-name() = 'title'][1]">
<xsl:call-template name="getLevel"/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="title_level" select="normalize-space($title_level_)"/>
<xsl:choose>
<xsl:when test="$title_level != ''"><xsl:value-of select="$title_level + 1"/></xsl:when>
<xsl:otherwise>
<xsl:call-template name="getLevel"/>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- getLevelTermName -->
<!-- split string by separator -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="split">
<xsl:param name="pText" select="."/>
<xsl:param name="sep" select="','"/>
<xsl:param name="normalize-space" select="'true'"/>
<xsl:param name="keep_sep" select="'false'"/>
<xsl:if test="string-length($pText) >0">
<item>
<xsl:choose>
<xsl:when test="$normalize-space = 'true'">
<xsl:value-of select="normalize-space(substring-before(concat($pText, $sep), $sep))"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="substring-before(concat($pText, $sep), $sep)"/>
</xsl:otherwise>
</xsl:choose>
</item>
<xsl:if test="$keep_sep = 'true' and contains($pText, $sep)"><item><xsl:value-of select="$sep"/></item></xsl:if>
<xsl:call-template name="split">
<xsl:with-param name="pText" select="substring-after($pText, $sep)"/>
<xsl:with-param name="sep" select="$sep"/>
<xsl:with-param name="normalize-space" select="$normalize-space"/>
<xsl:with-param name="keep_sep" select="$keep_sep"/>
</xsl:call-template>
</xsl:if>
</xsl:template> <!-- split -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getDocumentId">
<xsl:call-template name="getLang"/><xsl:value-of select="//*[local-name() = 'p'][1]/@id"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getDocumentId_fromCurrentNode">
<xsl:call-template name="getLang_fromCurrentNode"/><xsl:value-of select=".//*[local-name() = 'p'][1]/@id"/>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="namespaceCheck">
<xsl:variable name="documentNS" select="namespace-uri(/*)"/>
<xsl:variable name="XSLNS">
<xsl:value-of select="document('')//*/namespace::ribose"/>
</xsl:variable>
<xsl:if test="$documentNS != $XSLNS">
<xsl:message>[WARNING]: Document namespace: '<xsl:value-of select="$documentNS"/>' doesn't equal to xslt namespace '<xsl:value-of select="$XSLNS"/>'</xsl:message>
</xsl:if>
</xsl:template> <!-- namespaceCheck -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getLanguage">
<xsl:param name="lang"/>
<xsl:variable name="language" select="java:toLowerCase(java:java.lang.String.new($lang))"/>
<xsl:choose>
<xsl:when test="$language = 'en'">English</xsl:when>
<xsl:when test="$language = 'fr'">French</xsl:when>
<xsl:when test="$language = 'de'">Deutsch</xsl:when>
<xsl:when test="$language = 'cn'">Chinese</xsl:when>
<xsl:otherwise><xsl:value-of select="$language"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setId">
<xsl:param name="prefix"/>
<xsl:attribute name="id">
<xsl:choose>
<xsl:when test="@id">
<xsl:value-of select="concat($prefix, @id)"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="concat($prefix, generate-id())"/>
</xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="add-letter-spacing">
<xsl:param name="text"/>
<xsl:param name="letter-spacing" select="'0.15'"/>
<xsl:if test="string-length($text) > 0">
<xsl:variable name="char" select="substring($text, 1, 1)"/>
<fo:inline padding-right="{$letter-spacing}mm">
<xsl:if test="$char = '®'">
<xsl:attribute name="font-size">58%</xsl:attribute>
<xsl:attribute name="baseline-shift">30%</xsl:attribute>
</xsl:if>
<xsl:value-of select="$char"/>
</fo:inline>
<xsl:call-template name="add-letter-spacing">
<xsl:with-param name="text" select="substring($text, 2)"/>
<xsl:with-param name="letter-spacing" select="$letter-spacing"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="repeat">
<xsl:param name="char" select="'*'"/>
<xsl:param name="count"/>
<xsl:if test="$count > 0">
<xsl:value-of select="$char"/>
<xsl:call-template name="repeat">
<xsl:with-param name="char" select="$char"/>
<xsl:with-param name="count" select="$count - 1"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="getLocalizedString">
<xsl:param name="key"/>
<xsl:param name="formatted">false</xsl:param>
<xsl:param name="lang"/>
<xsl:param name="returnEmptyIfNotFound">false</xsl:param>
<xsl:variable name="curr_lang">
<xsl:choose>
<xsl:when test="$lang != ''"><xsl:value-of select="$lang"/></xsl:when>
<xsl:when test="$returnEmptyIfNotFound = 'true'"/>
<xsl:otherwise>
<xsl:call-template name="getLang"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="data_value">
<xsl:choose>
<xsl:when test="$formatted = 'true'">
<xsl:apply-templates select="xalan:nodeset($bibdata)//*[local-name() = 'localized-string'][@key = $key and @language = $curr_lang]"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="normalize-space(xalan:nodeset($bibdata)//*[local-name() = 'localized-string'][@key = $key and @language = $curr_lang])"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:choose>
<xsl:when test="normalize-space($data_value) != ''">
<xsl:choose>
<xsl:when test="$formatted = 'true'"><xsl:copy-of select="$data_value"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$data_value"/></xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:when test="/*/*[local-name() = 'localized-strings']/*[local-name() = 'localized-string'][@key = $key and @language = $curr_lang]">
<xsl:choose>
<xsl:when test="$formatted = 'true'">
<xsl:apply-templates select="/*/*[local-name() = 'localized-strings']/*[local-name() = 'localized-string'][@key = $key and @language = $curr_lang]"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="/*/*[local-name() = 'localized-strings']/*[local-name() = 'localized-string'][@key = $key and @language = $curr_lang]"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:when test="$returnEmptyIfNotFound = 'true'"/>
<xsl:otherwise>
<xsl:variable name="key_">
<xsl:call-template name="capitalize">
<xsl:with-param name="str" select="translate($key, '_', ' ')"/>
</xsl:call-template>
</xsl:variable>
<xsl:value-of select="$key_"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- getLocalizedString -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setTrackChangesStyles">
<xsl:param name="isAdded"/>
<xsl:param name="isDeleted"/>
<xsl:choose>
<xsl:when test="local-name() = 'math'">
<xsl:if test="$isAdded = 'true'">
<xsl:attribute name="background-color"><xsl:value-of select="$color-added-text"/></xsl:attribute>
</xsl:if>
<xsl:if test="$isDeleted = 'true'">
<xsl:attribute name="background-color"><xsl:value-of select="$color-deleted-text"/></xsl:attribute>
</xsl:if>
</xsl:when>
<xsl:otherwise>
<xsl:if test="$isAdded = 'true'">
<xsl:attribute name="border"><xsl:value-of select="$border-block-added"/></xsl:attribute>
<xsl:attribute name="padding">2mm</xsl:attribute>
</xsl:if>
<xsl:if test="$isDeleted = 'true'">
<xsl:attribute name="border"><xsl:value-of select="$border-block-deleted"/></xsl:attribute>
<xsl:if test="local-name() = 'table'">
<xsl:attribute name="background-color">rgb(255, 185, 185)</xsl:attribute>
</xsl:if>
<xsl:attribute name="padding">2mm</xsl:attribute>
</xsl:if>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- setTrackChangesStyles -->
<!-- see https://xmlgraphics.apache.org/fop/2.5/complexscripts.html#bidi_controls-->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="LRM" select="''"/> <!-- U+200E - LEFT-TO-RIGHT MARK (LRM) -->
<xsl:variable xmlns:redirect="http://xml.apache.org/xalan/redirect" name="RLM" select="''"/> <!-- U+200F - RIGHT-TO-LEFT MARK (RLM) -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setWritingMode">
<xsl:if test="$lang = 'ar'">
<xsl:attribute name="writing-mode">rl-tb</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setAlignment">
<xsl:param name="align" select="normalize-space(@align)"/>
<xsl:choose>
<xsl:when test="$lang = 'ar' and $align = 'left'">start</xsl:when>
<xsl:when test="$lang = 'ar' and $align = 'right'">end</xsl:when>
<xsl:when test="$align != ''">
<xsl:value-of select="$align"/>
</xsl:when>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setTextAlignment">
<xsl:param name="default">left</xsl:param>
<xsl:variable name="align" select="normalize-space(@align)"/>
<xsl:attribute name="text-align">
<xsl:choose>
<xsl:when test="$lang = 'ar' and $align = 'left'">start</xsl:when>
<xsl:when test="$lang = 'ar' and $align = 'right'">end</xsl:when>
<xsl:when test="$align = 'justified'">justify</xsl:when>
<xsl:when test="$align != '' and not($align = 'indent')"><xsl:value-of select="$align"/></xsl:when>
<xsl:when test="ancestor::*[local-name() = 'td']/@align"><xsl:value-of select="ancestor::*[local-name() = 'td']/@align"/></xsl:when>
<xsl:when test="ancestor::*[local-name() = 'th']/@align"><xsl:value-of select="ancestor::*[local-name() = 'th']/@align"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$default"/></xsl:otherwise>
</xsl:choose>
</xsl:attribute>
<xsl:if test="$align = 'indent'">
<xsl:attribute name="margin-left">7mm</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setBlockAttributes">
<xsl:param name="text_align_default">left</xsl:param>
<xsl:call-template name="setTextAlignment">
<xsl:with-param name="default" select="$text_align_default"/>
</xsl:call-template>
<!-- https://www.metanorma.org/author/topics/document-format/text/#avoiding-page-breaks -->
<!-- Example: keep-lines-together="true" -->
<xsl:if test="@keep-lines-together = 'true'">
<xsl:attribute name="keep-together.within-column">always</xsl:attribute>
</xsl:if>
<!-- Example: keep-with-next="true" -->
<xsl:if test="@keep-with-next = 'true'">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="number-to-words">
<xsl:param name="number"/>
<xsl:param name="first"/>
<xsl:if test="$number != ''">
<xsl:variable name="words">
<words>
<xsl:choose>
<xsl:when test="$lang = 'fr'"> <!-- https://en.wiktionary.org/wiki/Appendix:French_numbers -->
<word cardinal="1">Une-</word>
<word ordinal="1">Première </word>
<word cardinal="2">Deux-</word>
<word ordinal="2">Seconde </word>
<word cardinal="3">Trois-</word>
<word ordinal="3">Tierce </word>
<word cardinal="4">Quatre-</word>
<word ordinal="4">Quatrième </word>
<word cardinal="5">Cinq-</word>
<word ordinal="5">Cinquième </word>
<word cardinal="6">Six-</word>
<word ordinal="6">Sixième </word>
<word cardinal="7">Sept-</word>
<word ordinal="7">Septième </word>
<word cardinal="8">Huit-</word>
<word ordinal="8">Huitième </word>
<word cardinal="9">Neuf-</word>
<word ordinal="9">Neuvième </word>
<word ordinal="10">Dixième </word>
<word ordinal="11">Onzième </word>
<word ordinal="12">Douzième </word>
<word ordinal="13">Treizième </word>
<word ordinal="14">Quatorzième </word>
<word ordinal="15">Quinzième </word>
<word ordinal="16">Seizième </word>
<word ordinal="17">Dix-septième </word>
<word ordinal="18">Dix-huitième </word>
<word ordinal="19">Dix-neuvième </word>
<word cardinal="20">Vingt-</word>
<word ordinal="20">Vingtième </word>
<word cardinal="30">Trente-</word>
<word ordinal="30">Trentième </word>
<word cardinal="40">Quarante-</word>
<word ordinal="40">Quarantième </word>
<word cardinal="50">Cinquante-</word>
<word ordinal="50">Cinquantième </word>
<word cardinal="60">Soixante-</word>
<word ordinal="60">Soixantième </word>
<word cardinal="70">Septante-</word>
<word ordinal="70">Septantième </word>
<word cardinal="80">Huitante-</word>
<word ordinal="80">Huitantième </word>
<word cardinal="90">Nonante-</word>
<word ordinal="90">Nonantième </word>
<word cardinal="100">Cent-</word>
<word ordinal="100">Centième </word>
</xsl:when>
<xsl:when test="$lang = 'ru'">
<word cardinal="1">Одна-</word>
<word ordinal="1">Первое </word>
<word cardinal="2">Две-</word>
<word ordinal="2">Второе </word>
<word cardinal="3">Три-</word>
<word ordinal="3">Третье </word>
<word cardinal="4">Четыре-</word>
<word ordinal="4">Четвертое </word>
<word cardinal="5">Пять-</word>
<word ordinal="5">Пятое </word>
<word cardinal="6">Шесть-</word>
<word ordinal="6">Шестое </word>
<word cardinal="7">Семь-</word>
<word ordinal="7">Седьмое </word>
<word cardinal="8">Восемь-</word>
<word ordinal="8">Восьмое </word>
<word cardinal="9">Девять-</word>
<word ordinal="9">Девятое </word>
<word ordinal="10">Десятое </word>
<word ordinal="11">Одиннадцатое </word>
<word ordinal="12">Двенадцатое </word>
<word ordinal="13">Тринадцатое </word>
<word ordinal="14">Четырнадцатое </word>
<word ordinal="15">Пятнадцатое </word>
<word ordinal="16">Шестнадцатое </word>
<word ordinal="17">Семнадцатое </word>
<word ordinal="18">Восемнадцатое </word>
<word ordinal="19">Девятнадцатое </word>
<word cardinal="20">Двадцать-</word>
<word ordinal="20">Двадцатое </word>
<word cardinal="30">Тридцать-</word>
<word ordinal="30">Тридцатое </word>
<word cardinal="40">Сорок-</word>
<word ordinal="40">Сороковое </word>
<word cardinal="50">Пятьдесят-</word>
<word ordinal="50">Пятидесятое </word>
<word cardinal="60">Шестьдесят-</word>
<word ordinal="60">Шестидесятое </word>
<word cardinal="70">Семьдесят-</word>
<word ordinal="70">Семидесятое </word>
<word cardinal="80">Восемьдесят-</word>
<word ordinal="80">Восьмидесятое </word>
<word cardinal="90">Девяносто-</word>
<word ordinal="90">Девяностое </word>
<word cardinal="100">Сто-</word>
<word ordinal="100">Сотое </word>
</xsl:when>
<xsl:otherwise> <!-- default english -->
<word cardinal="1">One-</word>
<word ordinal="1">First </word>
<word cardinal="2">Two-</word>
<word ordinal="2">Second </word>
<word cardinal="3">Three-</word>
<word ordinal="3">Third </word>
<word cardinal="4">Four-</word>
<word ordinal="4">Fourth </word>
<word cardinal="5">Five-</word>
<word ordinal="5">Fifth </word>
<word cardinal="6">Six-</word>
<word ordinal="6">Sixth </word>
<word cardinal="7">Seven-</word>
<word ordinal="7">Seventh </word>
<word cardinal="8">Eight-</word>
<word ordinal="8">Eighth </word>
<word cardinal="9">Nine-</word>
<word ordinal="9">Ninth </word>
<word ordinal="10">Tenth </word>
<word ordinal="11">Eleventh </word>
<word ordinal="12">Twelfth </word>
<word ordinal="13">Thirteenth </word>
<word ordinal="14">Fourteenth </word>
<word ordinal="15">Fifteenth </word>
<word ordinal="16">Sixteenth </word>
<word ordinal="17">Seventeenth </word>
<word ordinal="18">Eighteenth </word>
<word ordinal="19">Nineteenth </word>
<word cardinal="20">Twenty-</word>
<word ordinal="20">Twentieth </word>
<word cardinal="30">Thirty-</word>
<word ordinal="30">Thirtieth </word>
<word cardinal="40">Forty-</word>
<word ordinal="40">Fortieth </word>
<word cardinal="50">Fifty-</word>
<word ordinal="50">Fiftieth </word>
<word cardinal="60">Sixty-</word>
<word ordinal="60">Sixtieth </word>
<word cardinal="70">Seventy-</word>
<word ordinal="70">Seventieth </word>
<word cardinal="80">Eighty-</word>
<word ordinal="80">Eightieth </word>
<word cardinal="90">Ninety-</word>
<word ordinal="90">Ninetieth </word>
<word cardinal="100">Hundred-</word>
<word ordinal="100">Hundredth </word>
</xsl:otherwise>
</xsl:choose>
</words>
</xsl:variable>
<xsl:variable name="ordinal" select="xalan:nodeset($words)//word[@ordinal = $number]/text()"/>
<xsl:variable name="value">
<xsl:choose>
<xsl:when test="$ordinal != ''">
<xsl:value-of select="$ordinal"/>
</xsl:when>
<xsl:otherwise>
<xsl:choose>
<xsl:when test="$number < 100">
<xsl:variable name="decade" select="concat(substring($number,1,1), '0')"/>
<xsl:variable name="digit" select="substring($number,2)"/>
<xsl:value-of select="xalan:nodeset($words)//word[@cardinal = $decade]/text()"/>
<xsl:value-of select="xalan:nodeset($words)//word[@ordinal = $digit]/text()"/>
</xsl:when>
<xsl:otherwise>
<!-- more 100 -->
<xsl:variable name="hundred" select="substring($number,1,1)"/>
<xsl:variable name="digits" select="number(substring($number,2))"/>
<xsl:value-of select="xalan:nodeset($words)//word[@cardinal = $hundred]/text()"/>
<xsl:value-of select="xalan:nodeset($words)//word[@cardinal = '100']/text()"/>
<xsl:call-template name="number-to-words">
<xsl:with-param name="number" select="$digits"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:choose>
<xsl:when test="$first = 'true'">
<xsl:variable name="value_lc" select="java:toLowerCase(java:java.lang.String.new($value))"/>
<xsl:call-template name="capitalize">
<xsl:with-param name="str" select="$value_lc"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$value"/>
</xsl:otherwise>
</xsl:choose>
</xsl:if>
</xsl:template> <!-- number-to-words -->
<!-- st for 1, nd for 2, rd for 3, th for 4, 5, 6, ... -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="number-to-ordinal">
<xsl:param name="number"/>
<xsl:param name="curr_lang"/>
<xsl:choose>
<xsl:when test="$curr_lang = 'fr'">
<xsl:choose>
<xsl:when test="$number = '1'">re</xsl:when>
<xsl:otherwise>e</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:otherwise>
<xsl:choose>
<xsl:when test="$number = 1">st</xsl:when>
<xsl:when test="$number = 2">nd</xsl:when>
<xsl:when test="$number = 3">rd</xsl:when>
<xsl:otherwise>th</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- number-to-ordinal -->
<!-- add the attribute fox:alt-text, required for PDF/UA -->
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="setAltText">
<xsl:param name="value"/>
<xsl:attribute name="fox:alt-text">
<xsl:choose>
<xsl:when test="normalize-space($value) != ''">
<xsl:value-of select="$value"/>
</xsl:when>
<xsl:otherwise>_</xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" name="substring-after-last">
<xsl:param name="value"/>
<xsl:param name="delimiter"/>
<xsl:choose>
<xsl:when test="contains($value, $delimiter)">
<xsl:call-template name="substring-after-last">
<xsl:with-param name="value" select="substring-after($value, $delimiter)"/>
<xsl:with-param name="delimiter" select="$delimiter"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$value"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template xmlns:redirect="http://xml.apache.org/xalan/redirect" match="*" mode="print_as_xml">
<xsl:param name="level">0</xsl:param>
<fo:block margin-left="{2*$level}mm">
<xsl:text>
<</xsl:text>
<xsl:value-of select="local-name()"/>
<xsl:for-each select="@*">
<xsl:text> </xsl:text>
<xsl:value-of select="local-name()"/>
<xsl:text>="</xsl:text>
<xsl:value-of select="."/>
<xsl:text>"</xsl:text>
</xsl:for-each>
<xsl:text>></xsl:text>
<xsl:if test="not(*)">
<fo:inline font-weight="bold"><xsl:value-of select="."/></fo:inline>
<xsl:text></</xsl:text>
<xsl:value-of select="local-name()"/>
<xsl:text>></xsl:text>
</xsl:if>
</fo:block>
<xsl:if test="*">
<fo:block>
<xsl:apply-templates mode="print_as_xml">
<xsl:with-param name="level" select="$level + 1"/>
</xsl:apply-templates>
</fo:block>
<fo:block margin-left="{2*$level}mm">
<xsl:text></</xsl:text>
<xsl:value-of select="local-name()"/>
<xsl:text>></xsl:text>
</fo:block>
</xsl:if>
</xsl:template>
</xsl:stylesheet>