lib/isodoc/ogc/ogc.test-suite.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:ogc="https://www.metanorma.org/ns/ogc" 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:pdf="http://xmlgraphics.apache.org/fop/extensions/pdf" xmlns:redirect="http://xml.apache.org/xalan/redirect" xmlns:java="http://xml.apache.org/xalan/java" exclude-result-prefixes="java redirect" extension-element-prefixes="redirect" 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="docnumber" select="java:toUpperCase(java:java.lang.String.new(/ogc:ogc-standard/ogc:bibdata/ogc:docnumber))"/>
<xsl:variable name="doctitle" select="/ogc:ogc-standard/ogc:bibdata/ogc:title[@language = 'en']"/>
<!-- <xsl:variable name="docLatestDate_">
<xsl:for-each select="/*/ogc:bibdata/ogc:date[normalize-space(ogc:on) != '']">
<xsl:sort order="descending" select="ogc:on"/>
<xsl:if test="position() = 1"><xsl:value-of select="translate(ogc:on, '-', '')"/></xsl:if>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="docLatestDate" select="normalize-space($docLatestDate_)"/>
<xsl:variable name="selectedStyle_">
<xsl:choose>
<xsl:when test="$docLatestDate >= '20211108'">2</xsl:when>
<xsl:otherwise>1</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="selectedStyle" select="normalize-space($selectedStyle_)"/> -->
<xsl:variable name="layoutVersion_">
<xsl:choose>
<xsl:when test="$document_scheme = '' or $document_scheme = 'current'">2022</xsl:when>
<xsl:otherwise>default</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="layoutVersion" select="normalize-space($layoutVersion_)"/>
<xsl:variable name="doctype">
<xsl:call-template name="capitalizeWords">
<xsl:with-param name="str" select="/ogc:ogc-standard/ogc:bibdata/ogc:ext/ogc:doctype"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="copyright-owner" select="java:toUpperCase(java:java.lang.String.new(/ogc:ogc-standard/ogc:bibdata/ogc:copyright/ogc:owner/ogc:organization/ogc:name))"/>
<xsl:variable name="presentation_metadata_color_text" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-text']/ogc:value)"/>
<xsl:variable name="color_main">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_text != ''"><xsl:value-of select="$presentation_metadata_color_text"/></xsl:when>
<xsl:otherwise>rgb(88, 89, 91)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_secondary_shade_1" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-secondary-shade-1']/ogc:value)"/>
<xsl:variable name="color_design">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_secondary_shade_1 != ''"><xsl:value-of select="$presentation_metadata_color_secondary_shade_1"/></xsl:when>
<xsl:when test="$layoutVersion = '2022'">rgb(0, 177, 255)</xsl:when>
<xsl:otherwise>rgb(237, 193, 35)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_secondary_shade_2" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-secondary-shade-2']/ogc:value)"/>
<xsl:variable name="color_design_light">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_secondary_shade_2 != ''"><xsl:value-of select="$presentation_metadata_color_secondary_shade_2"/></xsl:when>
<xsl:when test="$layoutVersion = '2022'">rgb(0, 177, 255)</xsl:when>
<xsl:otherwise>rgb(246, 223, 140)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_definition_term" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-definition-term']/ogc:value)"/>
<xsl:variable name="color_dl_dt">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_definition_term != ''"><xsl:value-of select="$presentation_metadata_color_background_definition_term"/></xsl:when>
<xsl:otherwise>rgb(215, 243, 255)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_definition_description" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-definition-description']/ogc:value)"/>
<xsl:variable name="color_dl_dd">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_definition_description != ''"><xsl:value-of select="$presentation_metadata_color_background_definition_description"/></xsl:when>
<xsl:otherwise>rgb(242, 251, 255)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_text_title" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-text-title']/ogc:value)"/>
<xsl:variable name="color_text_title">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_text_title != ''"><xsl:value-of select="$presentation_metadata_color_text_title"/></xsl:when>
<xsl:otherwise>rgb(33, 55, 92)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_page" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-page']/ogc:value)"/>
<xsl:variable name="color-background-page">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_page != ''"><xsl:value-of select="$presentation_metadata_color_background_page"/></xsl:when>
<xsl:otherwise>rgb(33, 55, 92)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_text_label_legacy" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-text-label-legacy']/ogc:value)"/>
<xsl:variable name="color_background_blue">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_text_label_legacy != ''"><xsl:value-of select="$presentation_metadata_color_background_text_label_legacy"/></xsl:when>
<xsl:otherwise>rgb(33, 60, 107)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_term_preferred_label" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-term-preferred-label']/ogc:value)"/>
<xsl:variable name="color_term_preferred">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_term_preferred_label != ''"><xsl:value-of select="$presentation_metadata_color_background_term_preferred_label"/></xsl:when>
<xsl:otherwise>rgb(249, 235, 187)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_term_deprecated_label" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-term-deprecated-label']/ogc:value)"/>
<xsl:variable name="color_term_deprecated">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_term_deprecated_label != ''"><xsl:value-of select="$presentation_metadata_color_background_term_deprecated_label"/></xsl:when>
<xsl:otherwise>rgb(237, 237, 238)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_term_admitted_label" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-term-admitted-label']/ogc:value)"/>
<xsl:variable name="color_term_admitted">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_term_admitted_label != ''"><xsl:value-of select="$presentation_metadata_color_background_term_admitted_label"/></xsl:when>
<xsl:otherwise>rgb(223, 236, 249)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_table_header" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-table-header']/ogc:value)"/>
<xsl:variable name="color_table_header_row">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_table_header != ''"><xsl:value-of select="$presentation_metadata_color_background_table_header"/></xsl:when>
<xsl:otherwise>rgb(33, 55, 92)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_table_row_even" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-table-row-even']/ogc:value)"/>
<xsl:variable name="color_table_row_even">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_table_row_even != ''"><xsl:value-of select="$presentation_metadata_color_background_table_row_even"/></xsl:when>
<xsl:otherwise>rgb(252, 246, 222)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="presentation_metadata_color_background_table_row_odd" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = 'color-background-table-row-odd']/ogc:value)"/>
<xsl:variable name="color_table_row_odd">
<xsl:choose>
<xsl:when test="$presentation_metadata_color_background_table_row_odd != ''"><xsl:value-of select="$presentation_metadata_color_background_table_row_odd"/></xsl:when>
<xsl:otherwise>rgb(254, 252, 245)</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="toc_recommendations_">
<xsl:for-each select="//ogc:table[.//ogc:p[@class = 'RecommendationTitle']]">
<xsl:variable name="table_id" select="@id"/>
<recommendation alt-text="{.//ogc:p[@class = 'RecommendationTitle'][1]/text()}">
<xsl:copy-of select="@id"/>
<xsl:variable name="title">
<xsl:apply-templates select=".//ogc:p[@class = 'RecommendationTitle'][ancestor::ogc:table[1][@id= $table_id]]/node()"/>
<xsl:if test=".//ogc:p[@class = 'RecommendationLabel'][ancestor::ogc:table[1][@id= $table_id]]/node()">
<xsl:text>: </xsl:text>
<xsl:variable name="recommendationLabel">
<tt><xsl:copy-of select=".//ogc:p[@class = 'RecommendationLabel'][ancestor::ogc:table[1][@id= $table_id]]/node()"/></tt>
</xsl:variable>
<xsl:apply-templates select="xalan:nodeset($recommendationLabel)/node()"/>
</xsl:if>
</xsl:variable>
<xsl:variable name="bookmark">
<xsl:value-of select="normalize-space(.//ogc:p[@class = 'RecommendationTitle'][ancestor::ogc:table[1][@id= $table_id]]/node())"/>
<xsl:if test=".//ogc:p[@class = 'RecommendationLabel'][ancestor::ogc:table[1][@id= $table_id]]/node()">
<xsl:text>: </xsl:text>
<xsl:value-of select="normalize-space(.//ogc:p[@class = 'RecommendationLabel'][ancestor::ogc:table[1][@id= $table_id]]/node())"/>
</xsl:if>
</xsl:variable>
<xsl:variable name="regex_str" select="'^([^0-9]+) (\d+).*'"/>
<xsl:variable name="class" select="java:replaceAll(java:java.lang.String.new($bookmark), $regex_str, '$1')"/>
<xsl:variable name="num" select="java:replaceAll(java:java.lang.String.new($bookmark), $regex_str, '$2')"/>
<xsl:variable name="class_lc" select="java:toLowerCase(java:java.lang.String.new($class))"/>
<!-- <xsl:attribute name="class_str">
<xsl:value-of select="$class"/>
</xsl:attribute> -->
<xsl:attribute name="class">
<xsl:choose>
<xsl:when test="$class_lc = 'requirements class'">1</xsl:when>
<xsl:when test="$class_lc = 'requirement'">2</xsl:when>
<xsl:when test="$class_lc = 'recommendation'">3</xsl:when>
<xsl:when test="$class_lc = 'permission'">4</xsl:when>
<xsl:when test="$class_lc = 'conformance class'">5</xsl:when>
<xsl:when test="$class_lc = 'abstract test'">6</xsl:when>
<xsl:when test="$class_lc = 'requirement test'">7</xsl:when>
<xsl:when test="$class_lc = 'recommendation test'">8</xsl:when>
<xsl:when test="$class_lc = 'permission test'">9</xsl:when>
<xsl:otherwise>9999</xsl:otherwise>
</xsl:choose>
</xsl:attribute>
<xsl:attribute name="num">
<xsl:value-of select="$num"/>
</xsl:attribute>
<title>
<xsl:copy-of select="$title"/>
</title>
<bookmark>
<xsl:value-of select="$bookmark"/>
</bookmark>
</recommendation>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="toc_recommendations">
<xsl:for-each select="xalan:nodeset($toc_recommendations_)/*">
<xsl:sort select="@class" data-type="number"/>
<xsl:sort select="@num" data-type="number"/>
<xsl:copy-of select="."/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="contents_">
<contents>
<!-- Abstract, Keywords, Preface, Submitting Organizations, Submitters -->
<xsl:call-template name="processPrefaceSectionsDefault_Contents"/>
<xsl:call-template name="processMainSectionsDefault_Contents"/>
<xsl:apply-templates select="//ogc:indexsect" mode="contents"/>
<xsl:call-template name="processTablesFigures_Contents">
<xsl:with-param name="always">true</xsl:with-param>
</xsl:call-template>
</contents>
</xsl:variable>
<xsl:variable name="contents" select="xalan:nodeset($contents_)"/>
<xsl:template match="/">
<xsl:call-template name="namespaceCheck"/>
<fo:root xml:lang="{$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="{$pageHeight}mm">
<fo:region-body margin-top="16.5mm" margin-bottom="10mm" margin-left="16.5mm" margin-right="14mm"/>
<fo:region-before region-name="cover-page-header" extent="16.5mm"/>
<fo:region-after extent="10mm"/>
<fo:region-start extent="16.5mm"/>
<fo:region-end extent="14mm"/>
</fo:simple-page-master>
<!-- Preface pages -->
<fo:simple-page-master master-name="preface" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="16.5mm" margin-bottom="22.5mm" margin-left="16.5mm" margin-right="16.5mm"/>
<fo:region-before region-name="header" extent="16.5mm"/>
<fo:region-after region-name="footer" extent="22.5mm"/>
<fo:region-start region-name="left-region" extent="16.5mm"/>
<fo:region-end region-name="right-region" extent="16.5mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="preface-landscape" page-width="{$pageHeight}mm" page-height="{$pageWidth}mm">
<fo:region-body margin-top="16.5mm" margin-bottom="22.5mm" margin-left="16.5mm" margin-right="16.5mm"/>
<fo:region-before region-name="header" extent="16.5mm"/>
<fo:region-after region-name="footer" extent="22.5mm"/>
<fo:region-start region-name="left-region" extent="16.5mm"/>
<fo:region-end region-name="right-region" extent="16.5mm"/>
</fo:simple-page-master>
<!-- Document pages -->
<fo:simple-page-master master-name="document" page-width="{$pageWidth}mm" page-height="{$pageHeight}mm">
<fo:region-body margin-top="{$marginTop}mm" margin-bottom="{$marginBottom}mm" margin-left="{$marginLeftRight1}mm" margin-right="{$marginLeftRight2}mm"/>
<fo:region-before region-name="header" extent="{$marginTop}mm"/>
<fo:region-after region-name="footer" extent="{$marginBottom}mm"/>
<fo:region-start region-name="left-region" extent="16.5mm"/>
<fo:region-end region-name="right-region" extent="{$marginLeftRight2}mm"/>
</fo:simple-page-master>
<fo:simple-page-master master-name="document-landscape" page-width="{$pageHeight}mm" page-height="{$pageWidth}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" extent="{$marginTop}mm"/>
<fo:region-after region-name="footer" extent="{$marginBottom}mm"/>
<fo:region-start region-name="left-region" extent="16.5mm"/>
<fo:region-end region-name="right-region" extent="{$marginLeftRight2}mm"/>
</fo:simple-page-master>
</fo:layout-master-set>
<fo:declarations>
<xsl:call-template name="addPDFUAmeta"/>
</fo:declarations>
<xsl:call-template name="addBookmarks">
<xsl:with-param name="contents" select="$contents"/>
<xsl:with-param name="contents_addon">
<xsl:if test="$contents//tables/table or $contents//figures/figure or //*[local-name() = 'table'][.//*[local-name() = 'p'][@class = 'RecommendationTitle']]">
<fo:bookmark internal-destination="empty_bookmark">
<fo:bookmark-title>—————</fo:bookmark-title>
</fo:bookmark>
</xsl:if>
<xsl:if test="$contents//tables/table">
<fo:bookmark internal-destination="empty_bookmark" starting-state="hide">
<fo:bookmark-title>
<xsl:value-of select="$title-list-tables"/>
</fo:bookmark-title>
<xsl:for-each select="$contents//tables/table">
<fo:bookmark internal-destination="{@id}">
<xsl:variable name="title">
<xsl:apply-templates select="*[local-name() = 'name']" mode="bookmarks"/>
</xsl:variable>
<fo:bookmark-title><xsl:value-of select="$title"/></fo:bookmark-title>
</fo:bookmark>
</xsl:for-each>
</fo:bookmark>
</xsl:if>
<xsl:if test="$contents//figures/figure">
<fo:bookmark internal-destination="empty_bookmark" starting-state="hide">
<fo:bookmark-title>
<xsl:value-of select="$title-list-figures"/>
</fo:bookmark-title>
<xsl:for-each select="$contents//figures/figure">
<fo:bookmark internal-destination="{@id}">
<xsl:variable name="title">
<xsl:apply-templates select="*[local-name() = 'name']" mode="bookmarks"/>
</xsl:variable>
<fo:bookmark-title><xsl:value-of select="$title"/></fo:bookmark-title>
</fo:bookmark>
</xsl:for-each>
</fo:bookmark>
</xsl:if>
<xsl:if test="//*[local-name() = 'table'][.//*[local-name() = 'p'][@class = 'RecommendationTitle']]">
<fo:bookmark internal-destination="empty_bookmark" starting-state="hide">
<fo:bookmark-title>
<xsl:value-of select="$title-list-recommendations"/>
</fo:bookmark-title>
<xsl:for-each select="xalan:nodeset($toc_recommendations)/*">
<fo:bookmark internal-destination="{@id}">
<fo:bookmark-title><xsl:value-of select="bookmark"/></fo:bookmark-title>
</fo:bookmark>
</xsl:for-each>
</fo:bookmark>
</xsl:if>
</xsl:with-param>
</xsl:call-template>
<!-- Cover Page -->
<fo:page-sequence master-reference="cover-page" 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>
<fo:flow flow-name="xsl-region-body" color="white">
<xsl:variable name="curr_lang" select="/ogc:ogc-standard/ogc:bibdata/ogc:language[@current = 'true']"/>
<xsl:variable name="stage" select="/ogc:ogc-standard/ogc:bibdata/ogc:status/ogc:stage[@language = $curr_lang] | /ogc:ogc-standard/ogc:bibdata/ogc:status/ogc:stage[not(@language)]"/>
<xsl:variable name="isLegacy" select="normalize-space($stage = 'deprecated' or $stage = 'legacy' or $stage = 'retired' or $stage = 'rescinded')"/>
<!-- background image -->
<fo:block-container absolute-position="fixed" left="0mm" top="0mm" font-size="0">
<fo:block>
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Cover-Background))}" width="{$pageWidth}mm" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Front"/>
</fo:block>
</fo:block-container>
<xsl:call-template name="insertBackgroundColor">
<xsl:with-param name="opacity">0.85</xsl:with-param>
</xsl:call-template>
<xsl:call-template name="insertCrossingLines"/>
<!-- title and logo -->
<fo:block>
<fo:table table-layout="fixed" width="100%">
<fo:table-column column-width="75%"/>
<fo:table-column column-width="25%"/>
<fo:table-body>
<fo:table-row>
<fo:table-cell font-weight="bold">
<fo:block font-size="16pt" color="{$color_design}" margin-bottom="4pt">
<xsl:variable name="ogc_document" select="concat('OGC® DOCUMENT: ', $docnumber)"/>
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="$ogc_document"/>
<xsl:with-param name="letter-spacing" select="0.3"/>
</xsl:call-template>
</fo:block>
<xsl:variable name="ogc_external" select="/ogc:ogc-standard/ogc:bibdata/ogc:docidentifier[@type='ogc-external']"/>
<xsl:if test="normalize-space($ogc_external) != ''">
<fo:block font-size="10pt">External identifier of this OGC<fo:inline font-size="58%" baseline-shift="30%">®</fo:inline> document: <fo:inline font-weight="normal"><xsl:value-of select="$ogc_external"/></fo:inline></fo:block>
</xsl:if>
</fo:table-cell>
<fo:table-cell text-align="right">
<fo:block>
<xsl:call-template name="insertLogo"/>
</fo:block>
</fo:table-cell>
</fo:table-row>
</fo:table-body>
</fo:table>
</fo:block>
<!-- <fo:block-container absolute-position="fixed" left="16.5mm" top="83mm" height="90mm"> -->
<fo:block-container absolute-position="fixed" left="16.5mm" top="40mm" height="170mm">
<fo:block-container width="155mm" height="99%" display-align="center">
<fo:block font-size="33pt" role="H1">
<xsl:variable name="length_title" select="string-length($doctitle)"/>
<xsl:variable name="fit_font-size">
<xsl:choose>
<xsl:when test="$length_title > 230">20</xsl:when>
<xsl:when test="$length_title > 170">26</xsl:when>
<xsl:when test="$length_title > 155">28</xsl:when>
<xsl:when test="$length_title > 130">30</xsl:when>
</xsl:choose>
</xsl:variable>
<xsl:if test="normalize-space($fit_font-size) != ''">
<xsl:attribute name="font-size"><xsl:value-of select="$fit_font-size"/>pt</xsl:attribute>
</xsl:if>
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="java:toUpperCase(java:java.lang.String.new($doctitle))"/>
<xsl:with-param name="letter-spacing" select="1.1"/>
</xsl:call-template>
</fo:block>
<fo:block-container width="22.5mm" border-bottom="2pt solid {$color_design}" margin-bottom="24pt">
<fo:block margin-top="4pt"> </fo:block>
</fo:block-container>
<fo:block color="{$color_design}">
<fo:block font-size="17pt">
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="java:toUpperCase(java:java.lang.String.new($doctype))"/>
</xsl:call-template>
<xsl:value-of select="$linebreak"/>
<xsl:variable name="docsubtype" select="normalize-space(/ogc:ogc-standard/ogc:bibdata/ogc:ext/ogc:subdoctype)"/>
<xsl:variable name="docsubtype_str">
<xsl:choose>
<xsl:when test="$docsubtype = 'implementation'">Implementation</xsl:when>
<xsl:when test="$docsubtype = 'conceptual-model'">Conceptual model</xsl:when>
<xsl:when test="$docsubtype = 'conceptual-model-and-encoding'">Conceptual model & encoding</xsl:when>
<xsl:when test="$docsubtype = 'conceptual-model-and-implementation'">Conceptual model & implementation</xsl:when>
<xsl:when test="$docsubtype = 'encoding'">Encoding</xsl:when>
<xsl:when test="$docsubtype = 'extension'">Extension</xsl:when>
<xsl:when test="$docsubtype = 'profile'">Profile</xsl:when>
<xsl:when test="$docsubtype = 'profile-with-extension'">Profile with extension</xsl:when>
<xsl:when test="$docsubtype = 'general'">General</xsl:when>
</xsl:choose>
</xsl:variable>
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="$docsubtype_str"/>
<xsl:with-param name="letter-spacing" select="0.25"/>
</xsl:call-template>
</fo:block>
<xsl:variable name="stage_uc" select="java:toUpperCase(java:java.lang.String.new($stage))"/>
<xsl:choose>
<xsl:when test="$isLegacy = 'true'">
<fo:block-container font-size="17pt" background-color="{$color_background_blue}" margin-left="-2.5mm" height="11.5mm" width="56mm" display-align="center" margin-top="0.5mm">
<fo:block-container margin-left="2.5mm">
<fo:block-container margin-left="0mm">
<fo:block margin-top="1mm">
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="$stage_uc"/>
</xsl:call-template>
</fo:block>
</fo:block-container>
</fo:block-container>
</fo:block-container>
</xsl:when>
<xsl:otherwise>
<fo:block font-size="12pt" font-weight="bold" margin-top="14pt">
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="$stage_uc"/>
</xsl:call-template>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</fo:block>
</fo:block-container>
</fo:block-container>
<fo:block-container absolute-position="fixed" left="16.5mm" top="204mm" height="60mm" width="180mm" display-align="after" font-size="10pt">
<fo:block line-height="140%">
<xsl:apply-templates select="/ogc:ogc-standard/ogc:bibdata/ogc:edition[normalize-space(@language) = '']"/>
<fo:block>
<fo:inline font-weight="bold">
<!-- Submission Date: -->
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">submission_date</xsl:with-param>
</xsl:call-template><xsl:text>: </xsl:text>
</fo:inline>
<xsl:choose>
<xsl:when test="/ogc:ogc-standard/ogc:bibdata/ogc:date[@type = 'received']/ogc:on">
<xsl:value-of select="/ogc:ogc-standard/ogc:bibdata/ogc:date[@type = 'received']/ogc:on"/>
</xsl:when>
<xsl:otherwise>XXX</xsl:otherwise>
</xsl:choose>
</fo:block>
<fo:block>
<fo:inline font-weight="bold">
<!-- Approval Date: -->
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">approval_date</xsl:with-param>
</xsl:call-template><xsl:text>: </xsl:text>
</fo:inline>
<xsl:choose>
<xsl:when test="/ogc:ogc-standard/ogc:bibdata/ogc:date[@type = 'issued']/ogc:on">
<xsl:value-of select="/ogc:ogc-standard/ogc:bibdata/ogc:date[@type = 'issued']/ogc:on"/>
</xsl:when>
<xsl:otherwise>XXX</xsl:otherwise>
</xsl:choose>
</fo:block>
<fo:block>
<fo:inline font-weight="bold">
<!-- Publication Date: -->
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">publication_date</xsl:with-param>
</xsl:call-template><xsl:text>: </xsl:text>
</fo:inline>
<xsl:value-of select="/ogc:ogc-standard/ogc:bibdata/ogc:date[@type = 'published']/ogc:on"/>
</fo:block>
<fo:block margin-bottom="12pt">
<xsl:if test="/ogc:ogc-standard/ogc:bibdata/ogc:contributor[ogc:role/@type='author']/ogc:person/ogc:name/ogc:completename">
<fo:block>
<fo:inline font-weight="bold">
<!-- Author: -->
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">author</xsl:with-param>
</xsl:call-template><xsl:text>: </xsl:text>
</fo:inline>
<xsl:for-each select="/ogc:ogc-standard/ogc:bibdata/ogc:contributor[ogc:role/@type='author']/ogc:person/ogc:name/ogc:completename">
<xsl:value-of select="."/>
<xsl:if test="position() != last()">, </xsl:if>
</xsl:for-each>
</fo:block>
</xsl:if>
<xsl:if test="/ogc:ogc-standard/ogc:bibdata/ogc:contributor[ogc:role/@type='editor']/ogc:person/ogc:name/ogc:completename">
<fo:block>
<fo:inline font-weight="bold">
<!-- Editor: -->
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">editor_full</xsl:with-param>
</xsl:call-template><xsl:text>: </xsl:text>
</fo:inline>
<xsl:for-each select="/ogc:ogc-standard/ogc:bibdata/ogc:contributor[ogc:role/@type='editor']/ogc:person/ogc:name/ogc:completename">
<xsl:value-of select="."/>
<xsl:if test="position() != last()">, </xsl:if>
</xsl:for-each>
</fo:block>
</xsl:if>
<xsl:if test="/ogc:ogc-standard/ogc:bibdata/ogc:contributor[ogc:role/@type='contributor']/ogc:person/ogc:name/ogc:completename">
<fo:block>
<fo:inline font-weight="bold">
<!-- Contributor: -->
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">contributor</xsl:with-param>
</xsl:call-template><xsl:text>: </xsl:text>
</fo:inline>
<xsl:for-each select="/ogc:ogc-standard/ogc:bibdata/ogc:contributor[ogc:role/@type='contributor']/ogc:person/ogc:name/ogc:completename">
<xsl:value-of select="."/>
<xsl:if test="position() != last()">, </xsl:if>
</xsl:for-each>
</fo:block>
</xsl:if>
</fo:block>
</fo:block>
<xsl:choose>
<xsl:when test="$isLegacy = 'true'">
<fo:block-container margin-left="-7mm" color="{$color_design}" background-color="{$color_background_blue}" width="202mm">
<fo:block-container margin-left="2.5mm" margin-right="1mm" padding-top="0.5mm" padding-bottom="0.5mm">
<fo:block-container margin-left="0mm" margin-right="0mm">
<fo:block>
<xsl:variable name="legal_statement">
<xsl:apply-templates select="/ogc:ogc-standard/ogc:boilerplate/ogc:legal-statement" mode="update_xml_step1"/>
</xsl:variable>
<xsl:apply-templates select="xalan:nodeset($legal_statement)/*">
<xsl:with-param name="isLegacy" select="$isLegacy"/>
</xsl:apply-templates>
</fo:block>
</fo:block-container>
</fo:block-container>
</fo:block-container>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="legal_statement">
<xsl:apply-templates select="/ogc:ogc-standard/ogc:boilerplate/ogc:legal-statement" mode="update_xml_step1"/>
</xsl:variable>
<xsl:apply-templates select="xalan:nodeset($legal_statement)/*"/>
</xsl:otherwise>
</xsl:choose>
</fo:block-container>
</fo:flow>
</fo:page-sequence>
<!-- End Cover Page -->
<!-- Copyright, Content, Foreword, etc. pages -->
<fo:page-sequence master-reference="preface" initial-page-number="2" format="i" force-page-count="no-force">
<xsl:call-template name="insertFootnoteSeparator"/>
<xsl:call-template name="insertHeaderFooter"/>
<fo:flow flow-name="xsl-region-body">
<xsl:if test="$debug = 'true'">
<redirect:write file="contents_.xml"> <!-- {java:getTime(java:java.util.Date.new())} -->
<xsl:copy-of select="$contents"/>
</redirect:write>
</xsl:if>
<!-- crossing lines -->
<fo:block-container absolute-position="fixed" width="{$pageWidth}mm" height="{$pageHeight}mm" font-size="0">
<fo:block>
<fo:instream-foreign-object content-height="{$pageHeight}mm" content-width="{$pageWidth}mm" fox:alt-text="Crossing lines">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 2159 2794" width="{$pageWidth}mm" height="{$pageHeight}mm">
<line x1="230" y1="0" x2="2159" y2="490" stroke="{$color_design_light}"/>
<line x1="0" y1="395" x2="820" y2="0" stroke="{$color_design_light}"/>
<circle style="fill:{$color_design_light};" cx="614" cy="100" r="15"/>
</svg>
</fo:instream-foreign-object>
</fo:block>
</fo:block-container>
<xsl:call-template name="insertLogoPreface"/>
<xsl:variable name="license_statement">
<xsl:apply-templates select="/ogc:ogc-standard/ogc:boilerplate/ogc:license-statement" mode="update_xml_step1"/>
</xsl:variable>
<xsl:apply-templates select="xalan:nodeset($license_statement)/*"/>
<xsl:variable name="feedback_statement">
<xsl:apply-templates select="/ogc:ogc-standard/ogc:boilerplate/ogc:feedback-statement" mode="update_xml_step1"/>
</xsl:variable>
<xsl:apply-templates select="xalan:nodeset($feedback_statement)/*"/>
<!-- Copyright notice -->
<xsl:variable name="copyright_statement">
<xsl:apply-templates select="/ogc:ogc-standard/ogc:boilerplate/ogc:copyright-statement" mode="update_xml_step1"/>
</xsl:variable>
<xsl:apply-templates select="xalan:nodeset($copyright_statement)/*"/>
</fo:flow>
</fo:page-sequence>
<!-- <xsl:variable name="updated_xml"> -->
<!-- <xsl:call-template name="updateXML"/> --> <!-- commented, because update_xml_step1 applied above already -->
<!-- <xsl:copy-of select="."/>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($updated_xml)/*"> -->
<xsl:variable name="updated_xml_step1">
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($updated_xml_step1)">
<xsl:variable name="updated_xml_with_pages">
<xsl:call-template name="processPrefaceAndMainSectionsOGC_items"/>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($updated_xml_with_pages)"> <!-- set context to preface/sections -->
<xsl:for-each select=".//*[local-name() = 'page_sequence'][parent::*[local-name() = 'preface']][normalize-space() != '' or .//*[local-name() = 'image'] or .//*[local-name() = 'svg']]">
<!-- Copyright, Content, Foreword, etc. pages -->
<fo:page-sequence master-reference="document" format="i" force-page-count="no-force">
<xsl:attribute name="master-reference">
<xsl:text>document</xsl:text>
<xsl:call-template name="getPageSequenceOrientation"/>
</xsl:attribute>
<xsl:call-template name="insertFootnoteSeparator"/>
<xsl:call-template name="insertHeaderFooter"/>
<fo:flow flow-name="xsl-region-body">
<xsl:if test="position() = 1">
<!-- crossing lines -->
<fo:block-container absolute-position="fixed" width="{$pageWidth}mm" height="{$pageHeight}mm" font-size="0">
<fo:block>
<fo:instream-foreign-object content-height="{$pageHeight}mm" content-width="{$pageWidth}mm" fox:alt-text="Crossing lines">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 2159 2794" width="{$pageWidth}mm" height="{$pageHeight}mm">
<line x1="0" y1="545" x2="2084" y2="0" stroke="{$color_design_light}"/>
<line x1="0" y1="1374" x2="355" y2="0" stroke="{$color_design_light}"/>
<circle style="fill:{$color_design_light};" cx="227" cy="487" r="15"/>
</svg>
</fo:instream-foreign-object>
</fo:block>
</fo:block-container>
</xsl:if>
<!-- Contents, Abstract, Keywords, Preface, Submitting Organizations, Submitters -->
<!-- <xsl:for-each select="/*/*[local-name()='preface']/*[not(local-name() = 'note' or local-name() = 'admonition')]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:if test="local-name() = 'foreword' or
(local-name() = 'clause' and @type = 'security') or
(local-name() = 'clause' and @type = 'submitting_orgs') or
local-name() = 'introduction'">
<fo:block break-after="page"/>
</xsl:if>
<fo:block>
<xsl:if test="not(local-name() = 'clause' and @type = 'toc')">
<xsl:attribute name="line-height">125%</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="."/>
</fo:block>
</xsl:for-each> -->
<!-- <fo:block line-height="100%"> -->
<!-- <xsl:if test="not(local-name() = 'clause' and @type = 'toc')">
<xsl:attribute name="line-height">125%</xsl:attribute>
</xsl:if> -->
<fo:block>
<xsl:apply-templates/>
</fo:block>
</fo:flow>
</fo:page-sequence>
</xsl:for-each>
<xsl:for-each select=".//*[local-name() = 'page_sequence'][not(parent::*[local-name() = 'preface'] or parent::*[local-name() = 'boilerplate'])][normalize-space() != '' or .//*[local-name() = 'image'] or .//*[local-name() = 'svg']]">
<!-- Document Pages -->
<!-- <xsl:for-each select="/*/*[local-name()='sections']/* | /*/*[local-name()='bibliography']/*[local-name()='references'][@normative='true']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:choose>
<xsl:when test="local-name() = 'clause' and @type='scope'">
<xsl:apply-templates select="." mode="sections">
<xsl:with-param name="initial-page-number" select="1"/>
</xsl:apply-templates>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="." mode="sections"/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each> -->
<!-- <xsl:for-each select="/*/*[local-name()='annex']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="sections"/>
</xsl:for-each> -->
<!-- Bibliography -->
<!-- <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="sections"/>
</xsl:for-each> -->
<xsl:variable name="initial_page_number">
<xsl:if test="position() = 1">1</xsl:if>
</xsl:variable>
<xsl:apply-templates select="." mode="sections">
<xsl:with-param name="initial-page-number" select="$initial_page_number"/>
</xsl:apply-templates>
<!-- End Document Pages -->
</xsl:for-each>
</xsl:for-each>
<!-- </xsl:for-each> -->
<xsl:apply-templates select="//ogc:indexsect" mode="sections"/>
</xsl:for-each>
</fo:root>
</xsl:template>
<xsl:template name="processPrefaceAndMainSectionsOGC_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="boilerplate" namespace="{$namespace_full}"> <!-- save context element -->
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:apply-templates select="/ogc:ogc-standard/ogc:boilerplate/ogc:license-statement" mode="update_xml_step_move_pagebreak"/>
<xsl:apply-templates select="/ogc:ogc-standard/ogc:boilerplate/ogc:feedback-statement" mode="update_xml_step_move_pagebreak"/>
</xsl:element>
</xsl:element>
<!-- Abstract, Keywords, Preface, Submitting Organizations, Submitters -->
<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> <!-- preface -->
<xsl:call-template name="insertMainSectionsInSeparatePageSequences"/>
</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)"/>
<!-- TODO: instead of
<xsl:for-each select=".//*[local-name() = 'page_sequence'][normalize-space() != '' or .//image or .//svg]">
in each template, add removing empty page_sequence here
-->
<xsl:if test="$debug = 'true'">
<redirect:write file="page_sequence.xml">
<xsl:copy-of select="$updated_xml_step_move_pagebreak"/>
</redirect:write>
</xsl:if>
<xsl:call-template name="deleteFile">
<xsl:with-param name="filepath" select="$updated_xml_step_move_pagebreak_filename"/>
</xsl:call-template>
</xsl:template> <!-- END: processPrefaceAndMainSectionsOGC_items -->
<xsl:template name="insertListOf_Title">
<xsl:param name="title"/>
<fo:block-container margin-left="-18mm" keep-with-next="always" margin-bottom="10pt" space-before="36pt">
<fo:block-container margin-left="0mm">
<xsl:call-template name="insertSectionTitle">
<xsl:with-param name="title" select="$title"/>
</xsl:call-template>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template name="insertListOf_Item">
<fo:block text-align-last="justify" margin-top="2pt" role="TOCI">
<fo:basic-link internal-destination="{@id}">
<xsl:call-template name="setAltText">
<xsl:with-param name="value" select="@alt-text"/>
</xsl:call-template>
<!-- <xsl:copy-of select="node()"/> -->
<xsl:apply-templates select="." mode="contents"/>
<fo:inline keep-together.within-line="always">
<fo:leader leader-pattern="dots"/>
<fo:page-number-citation ref-id="{@id}"/>
</fo:inline>
</fo:basic-link>
</fo:block>
</xsl:template>
<xsl:template match="ogc:preface//ogc:clause[@type = 'toc']" priority="4">
<fo:block color="{$color_text_title}">
<xsl:apply-templates/>
<xsl:if test="count(*) = 1 and *[local-name() = 'title']"> <!-- if there isn't user ToC -->
<fo:block-container line-height="130%">
<fo:block role="TOC">
<xsl:for-each select="$contents//item[@display = 'true' and normalize-space(@id) != '']">
<fo:block role="TOCI">
<xsl:if test="@level = 1">
<xsl:attribute name="margin-top">14pt</xsl:attribute>
</xsl:if>
<xsl:if test="@level = 1 or @parent = 'annex'">
<xsl:attribute name="font-size">12pt</xsl:attribute>
</xsl:if>
<xsl:if test="@level >= 2"> <!-- and not(@parent = 'annex') -->
<xsl:attribute name="font-size">10pt</xsl:attribute>
</xsl:if>
<xsl:choose>
<xsl:when test="@level = 1">
<fo:list-block provisional-distance-between-starts="8mm">
<xsl:if test="@type = 'annex' or (@type = 'references' and normalize-space(@section) = '')">
<xsl:attribute name="provisional-distance-between-starts">0mm</xsl:attribute>
</xsl:if>
<fo:list-item>
<fo:list-item-label end-indent="label-end()">
<fo:block>
<xsl:value-of select="java:toUpperCase(java:java.lang.String.new(@section))"/>
</fo:block>
</fo:list-item-label>
<fo:list-item-body start-indent="body-start()">
<fo:block text-align-last="justify" margin-left="12mm" text-indent="-12mm">
<fo:basic-link internal-destination="{@id}">
<xsl:call-template name="setAltText">
<xsl:with-param name="value" select="text()"/>
</xsl:call-template>
<xsl:variable name="sectionTitle">
<xsl:apply-templates select="title"/>
</xsl:variable>
<xsl:value-of select="java:toUpperCase(java:java.lang.String.new($sectionTitle))"/>
<xsl:text> </xsl:text>
<fo:inline keep-together.within-line="always">
<fo:leader leader-pattern="dots"/>
<fo:inline><fo:page-number-citation ref-id="{@id}"/></fo:inline>
</fo:inline>
</fo:basic-link>
</fo:block>
</fo:list-item-body>
</fo:list-item>
</fo:list-block>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="margin-left">
<xsl:choose>
<xsl:when test="number(@level) != 'NaN'"><xsl:value-of select="(@level - 1) * 8"/></xsl:when>
<xsl:otherwise>8</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<fo:block text-align-last="justify" margin-left="{$margin-left}mm">
<fo:basic-link internal-destination="{@id}">
<xsl:call-template name="setAltText">
<xsl:with-param name="value" select="text()"/>
</xsl:call-template>
<xsl:value-of select="java:toUpperCase(java:java.lang.String.new(@section))"/>
<xsl:text> </xsl:text>
<xsl:apply-templates select="title"/>
<xsl:text> </xsl:text>
<fo:inline keep-together.within-line="always">
<fo:leader leader-pattern="dots"/>
<fo:inline><fo:page-number-citation ref-id="{@id}"/></fo:inline>
</fo:inline>
</fo:basic-link>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</fo:block>
</xsl:for-each>
</fo:block>
</fo:block-container>
<!-- 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>
<fo:block-container line-height="130%">
<xsl:for-each select="$contents//tables/table">
<xsl:call-template name="insertListOf_Item"/>
</xsl:for-each>
</fo:block-container>
</xsl:if>
<!-- List of Figures -->
<xsl:if test="$contents//figures/figure">
<xsl:call-template name="insertListOf_Title">
<xsl:with-param name="title" select="$title-list-figures"/>
</xsl:call-template>
<fo:block-container line-height="130%">
<xsl:for-each select="$contents//figures/figure">
<xsl:call-template name="insertListOf_Item"/>
</xsl:for-each>
</fo:block-container>
</xsl:if>
<!-- List of Recommendations -->
<xsl:if test="//ogc:table[.//ogc:p[@class = 'RecommendationTitle']]">
<xsl:call-template name="insertListOf_Title">
<xsl:with-param name="title" select="$title-list-recommendations"/>
</xsl:call-template>
<fo:block-container line-height="130%">
<xsl:for-each select="xalan:nodeset($toc_recommendations)/*[normalize-space(@id) != '']">
<fo:block text-align-last="justify" margin-top="6pt" role="TOCI">
<fo:basic-link internal-destination="{@id}">
<xsl:call-template name="setAltText">
<xsl:with-param name="value" select="@alt-text"/>
</xsl:call-template>
<xsl:copy-of select="title/node()"/>
<xsl:text> </xsl:text>
<fo:inline keep-together.within-line="always">
<fo:leader leader-pattern="dots"/>
<fo:page-number-citation ref-id="{@id}"/>
</fo:inline>
</fo:basic-link>
</fo:block>
</xsl:for-each>
</fo:block-container>
</xsl:if>
</xsl:if>
</fo:block>
<fo:block break-after="page"/>
</xsl:template>
<xsl:template match="ogc:preface//ogc:clause[@type = 'toc']/ogc:title" priority="3">
<xsl:variable name="title-toc">
<xsl:apply-templates/>
<!-- <xsl:call-template name="getTitle">
<xsl:with-param name="name" select="'title-toc'"/>
</xsl:call-template> -->
</xsl:variable>
<fo:block-container margin-left="-18mm">
<fo:block-container margin-left="0mm">
<fo:block margin-bottom="40pt">
<fo:block font-size="33pt" margin-bottom="4pt" role="H1">
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="java:toUpperCase(java:java.lang.String.new($title-toc))"/>
<xsl:with-param name="letter-spacing" select="1.1"/>
</xsl:call-template>
</fo:block>
<fo:block-container width="22.5mm" border-bottom="2pt solid {$color_design}">
<fo:block margin-top="4pt"> </fo:block>
</fo:block-container>
</fo:block>
</fo:block-container>
</fo:block-container>
</xsl:template>
<!-- Lato font doesn't contain 'thin space' glyph -->
<xsl:template match="text()" priority="1">
<xsl:call-template name="add_fo_character">
<xsl:with-param name="text" select="translate(., $thin_space, ' ')"/>
</xsl:call-template>
</xsl:template>
<xsl:template match="ogc:title//text() | ogc:name//text() | ogc:fmt-title//text() | ogc:fmt-name//text()" priority="3" mode="contents">
<xsl:call-template name="add_fo_character">
<xsl:with-param name="text" select="translate(., $thin_space, ' ')"/>
</xsl:call-template>
</xsl:template>
<xsl:template match="*[local-name()='td']//text() | *[local-name()='th']//text()" priority="2">
<xsl:variable name="content">
<xsl:call-template name="add-zero-spaces-java"/>
</xsl:variable>
<!-- add zero-width space in the words like 'adeOfAbstractTransportaonSpace' to split it in the table's cell -->
<xsl:variable name="content2" select="java:replaceAll(java:java.lang.String.new($content),'([a-z]{2,})([A-Z])(.?)','$1$2$3')"/>
<!-- add zero-width space (#x200B) before character '(' if preceding and following are word chars -->
<xsl:variable name="content3" select="java:replaceAll(java:java.lang.String.new($content2), '(\w)(\()(\w)', '$1$2$3')"/>
<!-- replace sequence #x200B to one ​ -->
<xsl:variable name="content4" select="java:replaceAll(java:java.lang.String.new($content3), '\u200b{2,}', '')"/>
<xsl:call-template name="add_fo_character">
<xsl:with-param name="text" select="translate($content4, $thin_space, ' ')"/>
</xsl:call-template>
</xsl:template>
<xsl:template name="add_fo_character">
<xsl:param name="text"/>
<!-- https://github.com/metanorma/mn-native-pdf/issues/672, https://issues.apache.org/jira/browse/FOP-3175 -->
<!-- Miscellaneous Symbols https://www.compart.com/en/unicode/block/U+2600 U+2600 - U+26FF -->
<!-- Dingbats https://www.compart.com/en/unicode/block/U+2700 U+2700 - U+27BF -->
<!-- Miscellaneous Symbols and Arrows https://www.compart.com/en/unicode/block/U+2b55 U+2B00 - U+2BFF-->
<!-- enclose chars into <fo:character character="..."/> -->
<xsl:variable name="regex_dingbats_chars">([\u2100-\u2BFF])</xsl:variable> <!-- \u1F300;-\u1F5FF; not working in fo:character -->
<xsl:variable name="element_name_fo_character">fo:character</xsl:variable>
<xsl:variable name="tag_element_name_fo_character_open">###<xsl:value-of select="$element_name_fo_character"/>###</xsl:variable>
<xsl:variable name="tag_element_name_fo_character_close">###/<xsl:value-of select="$element_name_fo_character"/>###</xsl:variable>
<xsl:variable name="text_" select="java:replaceAll(java:java.lang.String.new($text), $regex_dingbats_chars, concat($tag_element_name_fo_character_open,'$1',$tag_element_name_fo_character_close))"/>
<xsl:call-template name="replace_text_tags_fo_character">
<xsl:with-param name="tag_open" select="$tag_element_name_fo_character_open"/>
<xsl:with-param name="tag_close" select="$tag_element_name_fo_character_close"/>
<xsl:with-param name="text" select="$text_"/>
</xsl:call-template>
</xsl:template>
<!-- ###fo:character###A###/fo:character### -->
<xsl:template name="replace_text_tags_fo_character">
<xsl:param name="tag_open"/>
<xsl:param name="tag_close"/>
<xsl:param name="text"/>
<xsl:choose>
<xsl:when test="contains($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:attribute name="character">
<xsl:value-of select="substring-before($text_after, $tag_close)"/>
</xsl:attribute>
</xsl:element>
<xsl:call-template name="replace_text_tags_fo_character">
<xsl:with-param name="tag_open" select="$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 match="node()" mode="sections">
<xsl:param name="initial-page-number"/>
<xsl:if test="@main_page_sequence or self::ogc:indexsect">
<fo:page-sequence master-reference="document" force-page-count="no-force" color="white">
<xsl:if test="$initial-page-number != ''">
<xsl:attribute name="initial-page-number">1</xsl:attribute>
</xsl:if>
<xsl:call-template name="insertHeaderFooter">
<xsl:with-param name="color">white</xsl:with-param>
</xsl:call-template>
<fo:flow flow-name="xsl-region-body">
<xsl:call-template name="insertBackgroundColor"/>
<xsl:call-template name="insertCrossingLines"/>
<xsl:choose>
<xsl:when test="self::*[local-name() = 'page_sequence']">
<xsl:for-each select="*[1]">
<xsl:variable name="sectionName">
<xsl:call-template name="getName"/>
</xsl:variable>
<fo:block-container absolute-position="fixed" left="16.5mm" top="107mm" width="178mm">
<xsl:call-template name="insertSectionNumInCircle"/>
<fo:block margin-top="14pt">
<xsl:call-template name="insertSectionTitleBig">
<xsl:with-param name="title" select="$sectionName"/>
</xsl:call-template>
</fo:block>
</fo:block-container>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="sectionName">
<xsl:call-template name="getName"/>
</xsl:variable>
<fo:block-container absolute-position="fixed" left="16.5mm" top="107mm" width="178mm">
<xsl:call-template name="insertSectionNumInCircle"/>
<fo:block margin-top="14pt">
<xsl:call-template name="insertSectionTitleBig">
<xsl:with-param name="title" select="$sectionName"/>
</xsl:call-template>
</fo:block>
</fo:block-container>
</xsl:otherwise>
</xsl:choose>
</fo:flow>
</fo:page-sequence>
</xsl:if>
<fo:page-sequence master-reference="document" format="1" force-page-count="no-force">
<xsl:attribute name="master-reference">
<xsl:text>document</xsl:text>
<xsl:call-template name="getPageSequenceOrientation"/>
</xsl:attribute>
<xsl:call-template name="insertFootnoteSeparator"/>
<xsl:call-template name="insertHeaderFooter"/>
<fo:flow flow-name="xsl-region-body">
<fo:block line-height="125%">
<!-- <xsl:apply-templates select="."/> -->
<xsl:choose>
<xsl:when test="self::ogc:indexsect">
<xsl:apply-templates select="."/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</fo:block>
</fo:flow>
</fo:page-sequence>
</xsl:template>
<xsl:template match="node()">
<xsl:apply-templates/>
</xsl:template>
<!-- ============================= -->
<!-- CONTENTS -->
<!-- ============================= -->
<!-- element with title -->
<xsl:template match="*[ogc:title or ogc:fmt-title][not(@type = 'toc')]" mode="contents">
<xsl:variable name="level">
<xsl:call-template name="getLevel">
<xsl:with-param name="depth" select="ogc:fmt-title/@depth | ogc:title/@depth"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="display">
<xsl:choose>
<xsl:when test="$level > $toc_level">false</xsl:when>
<xsl:otherwise>true</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="skip">
<xsl:choose>
<xsl:when test="ancestor-or-self::ogc:bibitem">true</xsl:when>
<xsl:when test="ancestor-or-self::ogc:term">true</xsl:when>
<xsl:otherwise>false</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:if test="$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}">
<xsl:if test="ancestor::ogc:annex">
<xsl:attribute name="parent">annex</xsl:attribute>
</xsl:if>
<title>
<xsl:apply-templates select="xalan:nodeset($title)" mode="contents_item"/>
</title>
<xsl:apply-templates mode="contents"/>
</item>
</xsl:if>
</xsl:template>
<!-- ============================= -->
<!-- ============================= -->
<xsl:template match="/ogc:ogc-standard/ogc:bibdata/ogc:uri[not(@type)]">
<fo:block margin-bottom="12pt">
<xsl:text>URL for this OGC® document: </xsl:text>
<xsl:value-of select="."/><xsl:text> </xsl:text>
</fo:block>
</xsl:template>
<xsl:template match="/ogc:ogc-standard/ogc:bibdata/ogc:edition">
<fo:block>
<xsl:variable name="title-version">
<xsl:call-template name="capitalize">
<xsl:with-param name="str">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">version</xsl:with-param>
</xsl:call-template>
</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<fo:inline font-weight="bold"><xsl:value-of select="$title-version"/><xsl:text>: </xsl:text></fo:inline>
<xsl:value-of select="."/><xsl:text/>
</fo:block>
</xsl:template>
<xsl:template match="ogc:legal-statement//ogc:title" priority="2">
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<!-- inline title -->
<fo:inline font-weight="bold" role="H{$level}">
<xsl:apply-templates/><xsl:text>: </xsl:text>
</fo:inline>
</xsl:template>
<xsl:template match="ogc:legal-statement//ogc:title/text() | ogc:license-statement//ogc:title/text() | ogc:copyright-statement//ogc:title/text()">
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="java:toUpperCase(java:java.lang.String.new(.))"/>
</xsl:call-template>
</xsl:template>
<xsl:template match="ogc:legal-statement//ogc:p" priority="2">
<fo:inline>
<xsl:apply-templates/>
</fo:inline>
<xsl:if test="following-sibling::ogc:p">
<xsl:value-of select="$linebreak"/>
</xsl:if>
</xsl:template>
<xsl:template match="/*/*[local-name() = 'preface']/*[local-name() = 'page_sequence']/*" priority="3">
<xsl:if test="(local-name() = 'foreword' or (local-name() = 'clause' and @type = 'security') or (local-name() = 'clause' and @type = 'submitting_orgs') or local-name() = 'introduction') and @id">
<fo:block break-after="page"/>
</xsl:if>
<fo:block>
<xsl:if test="not(local-name() = 'clause' and @type = 'toc')">
<xsl:attribute name="line-height">125%</xsl:attribute>
</xsl:if>
<xsl:call-template name="setId"/>
<xsl:call-template name="addReviewHelper"/>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ====== -->
<!-- title -->
<!-- ====== -->
<xsl:template match="ogc:title" name="title">
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<xsl:variable name="font-size">
<xsl:choose>
<xsl:when test="$level = 3">14pt</xsl:when>
<xsl:when test="$level = 4">12pt</xsl:when>
<xsl:when test="$level >= 5">11pt</xsl:when>
<xsl:otherwise>18pt</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="font-weight">
<xsl:choose>
<xsl:when test="$level = 3">bold</xsl:when>
<xsl:when test="$level = 4">bold</xsl:when>
<xsl:when test="$level = 5">bold</xsl:when>
<xsl:otherwise>normal</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:choose>
<xsl:when test="$level = 1">
<fo:block-container margin-left="-22mm">
<fo:block-container margin-left="0mm">
<fo:block margin-bottom="10pt" space-before="36pt" keep-with-next="always" role="H{$level}">
<fo:table table-layout="fixed" width="100%">
<fo:table-column column-width="22mm"/>
<fo:table-column column-width="158mm"/>
<fo:table-body>
<fo:table-row>
<fo:table-cell>
<fo:block margin-top="-3mm">
<xsl:for-each select="..">
<xsl:call-template name="insertSectionNumInCircle">
<xsl:with-param name="font-size" select="'18em'"/>
</xsl:call-template>
</xsl:for-each>
</fo:block>
</fo:table-cell>
<fo:table-cell>
<fo:block space-before="36pt">
<xsl:variable name="title">
<xsl:choose>
<xsl:when test="*[local-name() = 'tab']">
<xsl:copy-of select="*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:call-template name="insertSectionTitle">
<xsl:with-param name="title" select="$title"/>
</xsl:call-template>
</fo:block>
</fo:table-cell>
</fo:table-row>
</fo:table-body>
</fo:table>
</fo:block>
</fo:block-container>
</fo:block-container>
</xsl:when>
<xsl:when test="$level = 2">
<fo:block space-before="24pt" margin-bottom="10pt" role="H{$level}">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:variable name="title">
<xsl:choose>
<xsl:when test="*[local-name() = 'tab']">
<xsl:copy-of select="*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="section" select="*[local-name() = 'tab'][1]/preceding-sibling::node()"/>
<xsl:call-template name="insertSectionTitle">
<xsl:with-param name="section" select="$section"/>
<xsl:with-param name="title" select="$title"/>
<xsl:with-param name="level" select="$level"/>
</xsl:call-template>
</fo:block>
</xsl:when>
<xsl:otherwise>
<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="$font-weight"/></xsl:attribute>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="margin-top">30pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_text_title"/></xsl:attribute>
<xsl:attribute name="role">H<xsl:value-of select="$level"/></xsl:attribute>
<xsl:apply-templates/>
<xsl:apply-templates select="following-sibling::*[1][local-name() = 'variant-title'][@type = 'sub']" mode="subtitle"/>
</xsl:element>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ====== -->
<!-- END: title -->
<!-- ====== -->
<xsl:template match="ogc:p" name="paragraph">
<xsl:param name="inline" select="'false'"/>
<xsl:param name="split_keep-within-line"/>
<xsl:param name="indent">0</xsl:param>
<!-- <fo:block>debug p indent=<xsl:value-of select="$indent"/></fo:block> -->
<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:if test="@id">
<xsl:attribute name="id">
<xsl:value-of select="@id"/>
</xsl:attribute>
</xsl:if>
<xsl:call-template name="setBlockAttributes"/>
<xsl:if test="not(ancestor::ogc:table)">
<xsl:attribute name="line-height">124%</xsl:attribute>
<xsl:attribute name="margin-bottom">10pt</xsl:attribute>
</xsl:if>
<xsl:if test="ancestor::ogc:dd and not(ancestor::ogc:table)">
<xsl:attribute name="margin-bottom">4pt</xsl:attribute>
<xsl:if test="not(ancestor::ogc:dd[1]/following-sibling::ogc:dt)">
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
</xsl:if>
<xsl:apply-templates>
<xsl:with-param name="split_keep-within-line" select="$split_keep-within-line"/>
<xsl:with-param name="indent" select="$indent"/>
</xsl:apply-templates>
</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::ogc:annex">
<xsl:attribute name="margin-bottom">0</xsl:attribute>
</xsl:if>
<xsl:value-of select="$linebreak"/>
</fo:block>
</xsl:if>
<xsl:if test="$inline = 'true'">
<fo:block> </fo:block>
</xsl:if>
</xsl:template>
<xsl:template match="ogc:fn/ogc:p">
<fo:block>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template match="ogc:ul | ogc:ol" mode="list" priority="2">
<xsl:param name="indent">0</xsl:param>
<!-- <fo:block>debug ul ol indent=<xsl:value-of select="$indent"/></fo:block> -->
<xsl:variable name="ul_indent">6</xsl:variable>
<xsl:variable name="margin_left">
<xsl:choose>
<xsl:when test="self::ogc:ul and not(ancestor::ogc:ul) and not(ancestor::ogc:ol)">4</xsl:when> <!-- if first level -->
<xsl:when test="self::ogc:ul and ancestor::*[2][self::ogc:ul]"><xsl:value-of select="$ul_indent"/></xsl:when> <!-- ul/li/ul -->
<xsl:when test="ancestor::ogc:table">4</xsl:when>
<xsl:otherwise>13</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<fo:block-container margin-left="{$margin_left}mm">
<xsl:if test="ancestor::ogc:ul or ancestor::ogc:ol">
<xsl:attribute name="margin-top">10pt</xsl:attribute>
<xsl:if test="ancestor::ogc:table">
<xsl:attribute name="margin-top">1mm</xsl:attribute>
</xsl:if>
</xsl:if>
<fo:block-container margin-left="0mm">
<fo:list-block xsl:use-attribute-sets="list-style">
<xsl:if test="self::ogc:ul">
<xsl:attribute name="provisional-distance-between-starts"><xsl:value-of select="$ul_indent"/>mm</xsl:attribute>
</xsl:if>
<xsl:if test="ancestor::ogc:table">
<xsl:attribute name="provisional-distance-between-starts">5mm</xsl:attribute>
</xsl:if>
<xsl:if test="ancestor::ogc:ul | ancestor::ogc:ol">
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
<xsl:if test="ancestor::ogc:table[not(@class)]">
<xsl:attribute name="space-after">1mm</xsl:attribute>
</xsl:if>
</xsl:if>
<xsl:if test="following-sibling::*[1][local-name() = 'ul' or local-name() = 'ol']">
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
<xsl:apply-templates>
<xsl:with-param name="indent" select="$indent + $ul_indent"/>
</xsl:apply-templates>
</fo:list-block>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template match="ogc:ul/ogc:note | ogc:ol/ogc:note" priority="2">
<fo:list-item font-size="10pt">
<fo:list-item-label><fo:block/></fo:list-item-label>
<fo:list-item-body>
<fo:block>
<xsl:apply-templates select="ogc:name"/>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</fo:list-item-body>
</fo:list-item>
</xsl:template>
<xsl:template match="ogc:term/ogc:name" priority="2">
<xsl:variable name="levelTerm">
<xsl:call-template name="getLevelTermName"/>
</xsl:variable>
<fo:block space-before="36pt" margin-bottom="10pt" keep-with-next="always" role="H{$levelTerm}">
<fo:list-block color="{$color_text_title}" keep-with-next="always" provisional-distance-between-starts="{string-length()*3.25}mm">
<fo:list-item>
<fo:list-item-label end-indent="label-end()">
<fo:block><fo:inline font-size="18pt"><xsl:apply-templates/></fo:inline></fo:block> <!-- padding-right="1mm" -->
</fo:list-item-label>
<fo:list-item-body start-indent="body-start()">
<fo:block>
<xsl:apply-templates select="../ogc:preferred | ../ogc:deprecated | ../ogc:deprecates | ../ogc:admitted" mode="term_name"/>
</fo:block>
</fo:list-item-body>
</fo:list-item>
</fo:list-block>
<xsl:call-template name="insertShortHorizontalLine"/>
</fo:block>
</xsl:template>
<xsl:template match="ogc:preferred | ogc:deprecated | ogc:deprecates | ogc:admitted" priority="2"/>
<!-- first preferred displays on the same line as term/name -->
<xsl:template match="ogc:preferred[not(preceding-sibling::ogc:preferred)]" mode="term_name" priority="2">
<fo:inline font-size="18pt" padding-right="3mm"><xsl:call-template name="setStyle_preferred"/><xsl:apply-templates/></fo:inline>
<fo:inline padding-right="2mm"> </fo:inline>
</xsl:template>
<xsl:template match="ogc:preferred | ogc:deprecated | ogc:deprecates | ogc:admitted" mode="term_name">
<xsl:choose>
<xsl:when test="preceding-sibling::*[self::ogc:preferred or self::ogc:deprecated or self::ogc:deprecates or self::admitted]">
<fo:block space-before="6pt"><xsl:call-template name="displayTerm"/></fo:block> <!-- block wrapper -->
</xsl:when>
<xsl:otherwise><xsl:call-template name="displayTerm"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="displayTerm">
<fo:inline font-size="18pt" padding-right="3mm"><xsl:apply-templates/></fo:inline>
<!-- <fo:inline font-size="11pt" padding="1mm" padding-bottom="0.5mm" baseline-shift="25%">
<xsl:variable name="kind" select="local-name()"/>
<xsl:attribute name="background-color">
<xsl:choose>
<xsl:when test="$kind = 'preferred'">rgb(249, 235, 187)</xsl:when>
<xsl:when test="$kind = 'deprecated'">rgb(237, 237, 238)</xsl:when>
<xsl:when test="$kind = 'admitted'">rgb(223, 236, 249)</xsl:when>
</xsl:choose>
</xsl:attribute>
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="java:toUpperCase(java:java.lang.String.new($kind))"/>
</xsl:call-template>
</fo:inline> -->
<xsl:if test="following-sibling::*[self::ogc:preferred or self::ogc:deprecated or self::ogc:deprecates or self::ogc:admitted]">
<fo:inline padding-right="2mm"> </fo:inline>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'span'][@class = 'PreferredLabel' or @class = 'DeprecatedLabel' or @class = 'AdmittedLabel']" mode="update_xml_step1" priority="2">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="update_xml_step1"/>
</xsl:copy>
</xsl:template>
<xsl:template match="ogc:span[@class = 'PreferredLabel' or @class = 'DeprecatedLabel' or @class = 'AdmittedLabel']" priority="3">
<fo:inline> </fo:inline>
<fo:inline font-size="11pt" padding="1mm" padding-bottom="0.5mm" baseline-shift="25%">
<xsl:variable name="kind" select="@class"/>
<xsl:variable name="label" select="text()"/>
<xsl:attribute name="background-color">
<xsl:choose>
<!-- <xsl:when test="$kind = 'PreferredLabel' or $label = 'PREFERRED'">rgb(249, 235, 187)</xsl:when>
<xsl:when test="$kind = 'DeprecatedLabel' or $label = 'DEPRECATED'">rgb(237, 237, 238)</xsl:when>
<xsl:when test="$kind = 'AdmittedLabel' or $label = 'ADMITTED'">rgb(223, 236, 249)</xsl:when> -->
<xsl:when test="$kind = 'PreferredLabel' or $label = 'PREFERRED'"><xsl:value-of select="$color_term_preferred"/></xsl:when>
<xsl:when test="$kind = 'DeprecatedLabel' or $label = 'DEPRECATED'"><xsl:value-of select="$color_term_deprecated"/></xsl:when>
<xsl:when test="$kind = 'AdmittedLabel' or $label = 'ADMITTED'"><xsl:value-of select="$color_term_admitted"/></xsl:when>
</xsl:choose>
</xsl:attribute>
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="java:toUpperCase(java:java.lang.String.new($label))"/>
</xsl:call-template>
</fo:inline>
</xsl:template>
<xsl:template match="*[local-name()='th']//text()[not(ancestor::ogc:fn)]" priority="2">
<xsl:variable name="text">
<xsl:call-template name="add-zero-spaces-java"/>
</xsl:variable>
<xsl:value-of select="java:toUpperCase(java:java.lang.String.new($text))"/>
</xsl:template>
<xsl:template match="ogc:figure" priority="2">
<xsl:param name="indent"/>
<!-- <fo:block>debug figure indent=<xsl:value-of select="$indent"/></fo:block> -->
<fo:block-container id="{@id}" margin-top="12pt" margin-bottom="12pt">
<fo:block>
<xsl:apply-templates select="node()[not(local-name() = 'name')]">
<xsl:with-param name="indent" select="$indent"/>
</xsl:apply-templates>
</fo:block>
<xsl:call-template name="fn_display_figure"/>
<xsl:for-each select="ogc:note">
<xsl:call-template name="note"/>
</xsl:for-each>
<xsl:apply-templates select="ogc:name"/>
</fo:block-container>
</xsl:template>
<xsl:template match="*[local-name() = 'pagebreak']" priority="2">
<fo:block break-after="page"/>
</xsl:template>
<xsl:template name="insertHeaderFooter">
<xsl:param name="color" select="$color_text_title"/>
<fo:static-content flow-name="footer" role="artifact">
<fo:block-container font-size="8pt" color="{$color}" padding-top="6mm">
<fo:table table-layout="fixed" width="100%">
<fo:table-column column-width="90%"/>
<fo:table-column column-width="10%"/>
<fo:table-body>
<fo:table-row>
<fo:table-cell>
<fo:block>
<fo:inline font-weight="bold">
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="concat($copyright-owner, ' ')"/>
<xsl:with-param name="letter-spacing" select="0.2"/>
</xsl:call-template>
</fo:inline>
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="$docnumber"/>
<xsl:with-param name="letter-spacing" select="0.2"/>
</xsl:call-template>
</fo:block>
</fo:table-cell>
<fo:table-cell text-align="right">
<fo:block font-weight="bold">
<fo:page-number/>
</fo:block>
</fo:table-cell>
</fo:table-row>
</fo:table-body>
</fo:table>
</fo:block-container>
</fo:static-content>
</xsl:template>
<xsl:variable name="Image-Cover-Background">
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81VNIavVtcfDoMEgCUTzed6qJ+R7iJ1gcrzQLTNlgcOzoM0PUQ470VOu+LhhvHIt77QIzmCWPm+8P36dtJSS1oZoQa96p5t5bpaHbElmGcHLtfRvA6de/wroZfa9lT7L1iFmrz549m+Jpafnt7w6/f2eovUzDpHw26tOZdU4AvdPE+zsc06tnx/LB4kbRMs0r4gLg/DBZ4kgKUY3nz07sfcvELazNlE0kP0LVM9swwMDvC/A4DMfuJ9X/aN1CGJc3P7tNsbM3KXpiU1Ja2htYDxPPC+0Gf15tGej+lGTFbRvA61nExe8Ovz63AeV6uzZ9fnfHr/qvh5xvZ0GVKQ9D0tffUqV7Tsb5h9dvz/XHz1by7ws3+A2Hw+aSLp1xMMl8caWXucIFUkUBP0LSMaXHz206pkLCSVW+KXl7aEktrPA8NeQSQz4bm+1iokM2ShBm9ab6IPdL1eiBco+swM0E77Wg3h79ZXDvt6Ibh0oK+1tqWXiNcVJNumtTAWA8bR5OOEa/Lk8LPX7DpPSlmC+PiUeHaXAcPm58VeEok12YV9W609jMlOpVnXKJ+a4c0/Ho9F9cW8JomWDlNXxcM94/NaJaReo69luFrq5fLacOO4ZKR/uIYri89o4vUl8wXSuarwfHqzX2Z+c7D15mfSfNcAV/3uRAqttw0wp/rQ1QNctXtWNvHqWK4auI3PWPDzZ2mX1M4AbIPQLQ1nfo+vKPGeVAhZLCwPTHEw2FQ8mi4/r7UxefefGGQqFCBW7uuLOViRfMzdqo8DlkmfKYrBnfa6fcAXQ8Vji/w67EkB/2m68YPa14o0fVFO6vcH67J94fr8tNhvPd0Q7GkldHhmjxv+HGRcD0eDI2fl08gz3ogvWeIfl+bNZvjbwUWS/Jas+HnL4f7s5h9vM2ffytjscRGKI6s3qxgwgyT8s0RbmSLaL4WM3UcVmXxLBcXmF/rHwt9KGzjYrtwQzR34u85zTjROklVkF/gWxBoS9eF/azNtnIJ0oB7sKituNX88qNemSkMzjVIWS/EuuafiFb95kZ9ydSoWzM9erU1vKYTa4rxpgV+TfVYu5hLBPpAhRItO/601adnlG78bgjXZfWr+2+4LvdyLKfryNtcrBFCMy61jCOFh+yaFThYPLmuB/+fHmhqKecWBX/dPA+Bbwzn1cJ7be2CXtMEK36Gie6bbzO/omAkv3PxxQI+rxcPP9dD5xF3lqNgUp7BpTf7WLpNXFUkUYHkJBdnW+dPHftJH7pqdrSzzbitVmr0xOGH4YLyGt+SwAzqVii5P9xQ6wnK5eHXsdGgfN1w068mbO+wahdQng2fkyqeaK34pJL+n3nCwHyTgr+uzsGFXCrQQ4PNXL+S+Bht8PpwUbgmXx1uYGMcr2mWxHrhuqzdGjV7u+qzUAaLJ9r1roxZFppNqZklZeykl6dgouLbnOHnf3SxS0GvaYIVWzDRMrK/29AGtYNUvFD/on0t/4whfb5tHn6u8dHWIyacgkkpb+JPhBM5PtFj1IXl9y7+bNWewaDK5YfDh/LqCb8nB3df+ovFs8Ye6Cc17DzY0l96o+/3K8KgTTfrt1fwGGYNg3TtUKMi9xIVPh96yHC++eKJBoJPFFjUONamPyUr0gfC6wV68b2u8dh3Le2ZwBpDawbaP8PP36rgMej8qIGpZm5rB8eqbz5wp4sTzT8Avivn11Ifr8+Zn+VdVs+YrAWTOYfdt30v3K8WYYIVVzDRjJzDzPemHE6FRS21urKg16372c+Hn99tftbrjAmnYFKozVz8zPzUtdSomZSa26k/xjUJHp++0bUO7t0Jvz81NfxrNnLvF6AO1DPj4HDjnTJNuT3GxV8t/u0Cux0kavrwR1x8rKQCQa+8FQZ8p4e4J8PXUOFPxfD3lvg6KZigF9/XqT9o1NKa48zPaJiY2LENztzWNfl9Vv3Gslqqc1KIbj4/NTtS2x2r4LdaD75nslDj5MaCkAo7RxV4H5W1YDIufJ5p9tK25jfwaPRa+BxScaPoGY96XT8IP1f/zRF33aJgUgxtcfZz81tGpUZrr48ONxn31eBcrhW+ed6X6PG9GS44qio/y7cuakJPwzR18yuW7lp49S5Ss88/WG/WZvebnuJphtCu5mcKVr3vifp+aRaQeoBpWv5IvWRmNr9cSU92P9SDQblQMEGZtMzjMIt/m+6s1+QTwg3ptTU5n5oltKP5J/abVPxYBmdoajaQlrDebDO2HlCBb+1wo69r8gI9em1ZCyZr2tBdz4q8vk+w5gUT7ah3fyhIaIbLYD8c5UsPsuYf4d+8GD4T9bD+n9Z+F9WsGncN0pLZOUdMOAWT3BcGJXqfBAZrI10odKFXVfCeGp5bNbn6WfgxRepvop0djjOW6SDtm2oN3H7U5AM5BXoC9mvzhdC6FkFVEFNfqt1crJzIMWk3okfDAO6NMLBcynrfeJGCCcqgHUMOdPEpS28Xw4fCNfn/rN4PptQ4VjMYPmPpbGc8uBuRrsPzWf967GT9nlG/tqsafr1dKEYUYYI1L5h087mnpVEqUqmvz6s9yOWXzTd7bZlbthXOTtPP1ExzmQSPTRXVPaw+FfGR/Nv8tsSa+q3ZQ4skdny60GvK/k7hhvJevqWRGD2JP8LF2xM9vsfMF7Q1A7DuTZ2fCzcoGvToSd+e4ccqm9vS39EN9aP7Du1CsV9CN9GDtNvGgVyTp7k9XIv3C+PM3a3ayygHx87zVfj1D2/U26tipWZbqVCjXjGDu8bNH+6tVrfpD7T0macJCFpW/GqPXtsrnfylAb6fu6aTqmnP6qSbWrHkGfPTm9Vg71pO9dSZF2psu1IYjKc4E0PNArVl3TeMAirSMFe4cVavpRSLJSoO7BU+f9gBa8Zrtqbwqsu9pknT6BqIx3rhuvxzS6tYorGzikDLcU0ekZZgqP/hsi4+afWctR6L4UuKerVEWedfS0k1m2OPEDuFexDNnlTR5Lfme3tp1tn/zPeVnKUHr61xCc7Lzf4SBZPuqCmV1hnvnOCxnRIKAyzRGPlir2apauqb4kwMVXN/ar76uxKnGxWm5pf/DR/KqU3zfisMxpcPNxwvc7pb0jrtj7pY1fy2kchmHClATiqOHBbGGGsldFzqCfcr84USFekplLSm/Bwfxpm6KX6AlPTcy5Fe329x8SXzy3omhdd1kPkdccq+L5mj4eeTmv0lCiadUfXrNPM9PeZL7NhUDFABSE3znuRUt3SZ+YZJf0z0+LS7k6bB7cm1ARWjmX+aDXamVX/K70i0s5Vmy3zRxVOc7q7cZn5ppa5v55OOro0iBcjh/eF78KuJjSvUWFuz2PSknAb63VFPpmPNF/+/zL1HTz097NcLRXif9bWGX69hvk3E+iX+n4274lAwyeFD4WKf4jaU/zE/DeoETnPH1LV5F/NLl1J8wqvpb2p2e7H53Z+A2GlHq1vDTXFq9EROO1qta/XY+aZM15vvPaat4+8gHUCp9HDxT+YfNi6W0HGpr8Le4QbuZk5z7s+335jfJeUXNr23BcrzlA3tDRLjOF8rHW5v+PW8Ls6x8hq6N+bg/mZ/iYJJc5qio6aYWqqS4u4K2lFh01ZvDrT9htY2eBMTPT69N/RU+6OcakRK07yPNd9NfaEEj+9/4RpzgPknciiGepzoQYFm0r1IOoDC6QGjlkZ+PLHj0k2cZvqpH8ObnObCPBeux1o+eTbpKF1ja4EVI3x9Wn58/LDfUzPYv1o5O9KuOGzcNSIKJiPT0zw9jdo1wWPTRX63EK9yqnPR0wU1Mbss0ePTGsKTzBeH5uR0IyIqJKhHxScTPb5jzU/3voFTXQo9ydQTTa2NPo10AIWYO4wX9D2VWhH76HBvwKyS8uhmdVvzD+qeIB2laZxhuUakr/HcEX5P21R/r+D/Z6z5HkSD7mz2FymYDKW1uqpyakvZ5RM8PvUr2cb87BIUQ9Pb1Pn5zwkfo5YgqYC4JqcbfabPrO+YL1KmuKW7buS1plsN8SZzukv3iIsPutg+/BxANhubn5W6S4LXZPWO+ozNuMMIyqHdzbT84lhSUYobG34+/7CCQSxubjIG0j36IgX+P+vZ0D5dt7cafMLT0/S/me/fkOL2qo+72MTFeZzqwmkdpqae/jzhY9QFVR3ud+N0o08WNP/U4YBEr9Eqvm5hfk03ekvNgldzcSKpmMEcpAAt6Fq8v4tLXYxP8JqsB2K/4zT3nJqT6sGB+k6xm06xrh7263dE+Bq1GmKk2R6zmm8gXZQJDT/XUqArm/1FCiaepiTpCfoHEj2+ieaLJbdwqkujrZj3CgOHVKkh7G/DTcVYTjl6aJNwjd4y0ePTmuKNXFzOqe6bZ1x8wnyjd3a9GHpDDIxkKfOFkn0TvJ9Qf7+Nw/Ghf84P92h/IRWF0a4zjX3Rtov0dd7d5PdVSBtd0P+xTcPPr3XxfLO/SMHE7GPml+Ask+jx3WO+gefdnOqe2M/FPjX4nlGFenlON3pA2zZeZGnttGDDPqTVk+UuTnUU/hYG6JeRCqAp7U6mHksbJnhs2nVNBez/cZqjoKaw6muyq7XY9hUdUw4bH85sbXE+BH2oye9rG+AJbf5tJzMjFzXfxHnQRa3+cp0LJqpOHWT+aflsiR7jwy7e2eJNh3LofbVv4se4ivltqd/H6UZJNPVSndLVnDPVp9zXmJ818ySnOyoPutjcxY/Mzx4EMH3s/BPzu5PNneDxqViipZH0NIqPGgqvEcaeyOeMhp+rWPL+kv+/2TP8m0db/NmObf7tES7+0ebv7DTs16e3+st1LZhoO8q/u/hWwseoi/0EY9vgftFA+7DEj3FcuMCoCecoTjkKtLj5J/w7J3yMepqxlbWYAoq+0hpqFb7fYyzRAURPdi9w8e1Ej2+wWEIBO15avqpZ80eRilxONt+zY9DnS/7/Zs7wb1o97FcLjWY1DD1ge6/5pUazNvk7umf5bMOvtQrjqlYvpo4FkyXMT0XaJuFjfCG8UViG019aSpD6uktddNSEM+WZWugtbaermRfrJnyMOj7tzEKxJH7/DO9JthNFnQ1u5b5ZosenrVYpllTDqy4+F254XyUdmeih+r8afq3Gr2vl/JpF1xRaNfvVJgCbNPkzHcs85meHNpshqhpAY1uBE3p9cFUYiKv3wmoJH6O2QFPTuhu5HvSdvlG1xV4ddibS+lLNCFiE044cNC308sTfR3qKqYL2i5zuyphovqfBaaQCNaSZfhebn2GSIi1f12w/iiXV8gfzs01oO5DNEcN+nXfm2FwFv752PYR2avL77wo/amlts4LaNxt+rtmkx7Z7MXUqmLy7Jjd0uxlbB8dEWw6rgHVnDY51HfNT2lbltCMDzcg61dKeqaSBuZ5sPMXprpzJLnZwcSCpQE2oX8kh5ntJzZLoMWpG9tbh5grVo34matx5PanommZP3t7w6x3DOD6reVr8WZZxncZJrWaZfMRGblY72Ij6kib/TsXRxplyavTetn1FXQomqkKdadmazlTJ4S6O5hoQ5QeymqM+V4NjHW9+y7J3cdrRIS3rOtR8c9eUe+HohlvrankaVl2aNfhdF5+xodsyAqmZK4yb9074GNXDQbv+/ZfTXWlqDqplGH8nFV2//380bCz2sxzjsPVb/NnGGb/uJW2uUbsM+72VbPpSnWNG+Ddjwniz8TP9gE5eSB0KJl938UcXMyV+nBe72JPv/2hpatlHbWiTpZQHWmdZ8+lywKCZw/V5rxrcaGtgfgOnPAl6MKFlVXXY4nIOTnftaLvNS11sm/hxagnCPzndSdADCTUCPZxUdEV9Fm9q+LVmXmRptq9ZHbu0+HPtrKniTLd1h+Pb/PmPXawefr6Q+dkio8M9yEjbBGsmc2NbjpOsw/5ko6ZMSXrHPJ2c79XgDf+Y+a22nuB7P3paN3dwjY5XN8I/57RjBJrxd3K48Uzdfi7255QnZ71wwzV/wse4f3j/oh5WdnGO+Q0SUqYbqw9xuhlnV1SRs3EnDCsuPBuKCg83+fvzml/WMp/55quaPbJFh69J7Qk0c01NlvUA+YHwfzcrRqjAomVXa7f4mupTcrb5fjbzhde9/givf0XzD60Glwe9En7vgY4SnnDB5CBLe9vgQTqBWn9J35LqXOR0sXhPjY750PABNoXTj0BbUquB5uY1ONazw/f7W5z2JGnApa1WF0v0+CiY1Mc7wvhkXOLHeW+4AWOXsnSpn+MRlu5KiqKXL2smR+PMkgvNF0XeHPb3NONQu/y9rcD/+2suft3iz/V/Xeli7g6+lnaH3cZm3CV2lvA1GgsvmmHWcWEtxYKJ3kS/Cd8sdaDC0D5cGytF1VntYrREjY75dy6+zE0jwmBc29m9vQbHqiccmi76DKc9aePDAHPZBI+Ngkk9aDmDpuenvnxdjfi149V1nPLkfcL87idjEjy2ogsmatiqHfwWbXN/qeKFdjNc3PwSGBUx5goxa/g7WhLTWGh5yfzyVe0MqEauj4WxkRrOasZHJ33d1JvkD+F7dyQvhnv/H9vIS2V/7+LzDb++1vwyoo57kaVWMKlbsUTrzjQl+HWui5WzWRhg12mnqhPNr3F8k9NfW3UqlujD9Z028jpapGfxcK6XS+y4KJikT/3GjqvJeETL9A/glNeGNlz4q6VXCCyjQb5m/J4/7DrwKetgy90e0uerZsItFHKg5UN3md9s4uUm/0a9TBtbA6jfjWaa/K+rhCdWMNH0qy/V5CKgqpiKJTdyPaysuiwba3S6+a3AXuP0147Wlqrfw9trcrya6vltTnutLODi35bWTBMKJmn7ovkHjXVwtfkdNNjhql5SLJqUtaOgZpQcOOxecwfzS/WqSLOM/jgsXx92cUq3XyilarJuPr9UowuAKuQUS6ptXxvanboO3h8+uGbm9NeKZpaoz1JdiiXapvIHnPbaedJ8A717SAUqQAXduhRL9JBmV6NYUke62VeDX2bjd3Yv/aeGX48JY/b3VfBYVCxRb5bGYok2gzklyxdLpWCiJyB1elKvwThTCtP4ANd0t7otUXmvUTSpk7Hml+GsVZPjVZ+ez5jv3I760XrsCUbRBHFTseQnNTpeHesdnPbaOjOMt+mj15qWnXw6jNkGzRTG7J+s0HF8xXyxpLHOoWWHmR9kpVAw2d38k/o60RRKKqVpUMOjg2t43CqanGC+ORTSpa2D/271mVkivzQ/9Rv1paLJu635toxAP9WtWKIdMw7itNeeZk7sShra0sNcNYFu7L+mosmx5h/Wx1w70Ov8dYjG16keinqQlbkPSdULJjuHwWmdqEJ2Gd/PSfmRzbgFVh3s6OJoK28tJvpLxbCTrR5bBw961Oj3gOk3aVub3xUAiEXdiiWip82vcOphvp/FXqShLe1s8x4XZw/7/e+Ybwy7eISvWQ1hLw7f7410n5F7w4kqF0z09OaYmr2BtW3St/g+To4+yL9Y02PXRewI3gLJURHsKBfb1ey49w7XaUD+G74HXiYViMBXrX7FEt3wncupRwPtmPIz0tCWiiaaDX7ksN/XQ7BbXHw8ovGm7qHU13P4tsNagfJZK6D1QVULJtoOSE1b6jadXx90j/M9nCRVbP9S02PXhW5/3gJJ0fTnXWt2zNrW7kROPYa5xvwuA2ynjn5S/4HDanbM+p77JqceI9DDjeNJQ0ffQ18wv6lK4+6Wc5tf4nSxizX7+Pq069WV5ptXj234/RfMLyvSDP5CtgOuYsFkSRdnuZijZm/a+61+y4/q5htW3yeR+1q9drlK2VdqOEhVI7mvFvXBjOScHQadQD9oav0fanjcmop/K6cfI9Bn9edcXEAqOvJbFxu4uHPY72/m4nrzxafVevh61Bfvb+ZbVGww7M9UQFER5/Qi/8OqFUzGhYHHwjV8s37fmNabOjUKrHNjMjVp2oG3QaVp+uavajowv4HTjxZ0w3ogaUCP6QmseknVbUb2ZKvfhhDojmZM7DhCEQAj0xhHhYhDbOjGI1oSo56iN5vfXUfj+FlL+P81UULLgFQQUWP9Dw7780ku9nDxDhf3Ff2fj5oypTIPxHSx124L29TwTXq7i1WN7bDqYDbzzQIXrenxq5/LFi7+zVuhcrRUUtX+2Wv4nlWzMXZEQdsxl4uTXHykQq9ZyyX349RV0irh5mKuGh67dh/8Nm8BdGB5F1e5mLdinyX9pDGPCicfaPLnWhKjrZzPCeP5ezMe4wouNjb/ME69S0cqxGjZkDZE+a6Lx0pLeIUKJmrQs2dNv5k/ZH7qEepBW18dVePjf9L8FLt7eStUxiIurgs/1o0ayNF1H51SQfFyF2tV5PVSMKkmzcTWU9jxNTx2zS5ZytihCp2bYH52xEwVeb2x7C6p2Rz7mC9mtKL+m2qC/mCIp5sc00IuFjO/C49ms8zd4mu+an6r40N6cb9QlYLJp62e6y9FXX/15Ja18fUxxvzUtrfVOAeaIrmhi2d5O0RPFf9LXazHwBzoiHqxXeti/gq8Vgom1aOi3EXm1/nXEbNLkMVu5nt1VMGoyF6PVkFoOcxHbWjz1TLcYX57aO2U+2ivDrAKPUzWq9AbuKwLP8WSennDxQ9rnoMVXfzZ6rfuumr0of0Hq2exRA41iiXonpq4f9jYOQflXJPVgLGuxZLJ4boMdOt3xs45Wam5srbvXcD8qgjtZPtiQV9b98BqLPvTcF3Tw2T1A3u0lwcY+wwTJV7TvJeo6Rvw3nDj+Abfi7UzEC5Ab6t5HljuELe9ajw4fd787JLneBsgo90t/t3vmGFSLQe4+E6Nj5/ZJchDfQTVz2T1yF/nqArkUg881zDfeFqFDvWKWdbFfC3+zUvm+zhqFon6d2qVhWYwP9PvgxkTeaL/YvUtloiqaRRL6kkNfrVjznE1z4P6Ft1kVP1jtHkYnNaVZj5SLEEe2lFKvUw+SSpQAD3ZrXOxRDt3HMbbADloN1LtvqIlk3OTjlw0g/L6EI3GhtyqX8y4kPPnQrwW68HEPMNE0232qfEbTQ1ylja2Eq4zFTRVZV225nnQLiTqZ3Ijb4loLBY+BBes6fGr2dhSVmJHdtSGnmj+x/yOJjFihkk1rGy+yescNc6B+hrswlsBBdCuLGdG/PpGcYp6K9YeJlsZU+r05IliSb1pdtGPScPUpqLaJYpqfxz0VOCvVt9iiWjmF8USFEGf89pm+CVSgYz0lPZ0q3exRH7OWwEF+bv5B/fAVDEWTBZ1cYLVu3qmp5e/5+0J508uHiENtky4SaWq3n9aI79BjY9f0zJpKogiabvF3UkDMhhs8rp8zfNwgTELFcXa18WVpAEyEOHr0Q3iAjU/L9od5BnenjC/Jvc3pGGq97n4Omnoq21c7F3zHJzh4i7eCijYUS5OJA3o0h7hs7Hu6F2CoqkHx8fNN3hHzcVWMPmmiwmcllpvo4wZHWl+1hF8I9x1SENfqG/JH0kDBUyUZjfzOwQAndBn4cGkYeos3LNIA0pwf7guo+ZiKpis7eKHnJKpjRSvJg1o8KSLk0jDVOqfoRlYc5KKnhqc9j1fzfOgm9nzeTugJC+af6L5JqlAG/oM/Ev4TKy7o/meQYn+bOzUWHuxFExmN78Uhws/Ty8xMqabTrec+abI6J29XGxBGqZen6eQBpRIO+YcQBrQhvrcLUsapl6PjyINKNmXXdxDGuorloLJIS5W4nRMfbrETAKM5AYXl5GGaT7lYnvS0BNrcgM3lXYzOY40oAe0O9p1pAFNfNTFx0jDVOeYXzYBlGmSMfuv1mIomGxuvnIHv3UqWwuimaNJwRB6qrQgaSjVLOb7lsxMKqZupUwzbvSCmn3vYvSuwowWdnEEaZjmGFKAHrnG6BlUW/0umMzBTeAQrJFDuxu2yaRhmvmN7bfLtp+LVUnDVMwuQS/d5uI7pAHD/MHFvKRhqhdcnEka0EPqtflf0lA//S6YqFK3FKdhqodcXEIa0IKmBJ5MGoZ4v4sdSUMpNjC/cxnMHnZxEWlAj/3SxeWkAcGnXWxLGqY5xZiFhd7S+21XY2lO7fSzYLKJiy9xCqY5wcVbpAFtHEsKZqDpyfORhkLNEt5rA6Riqj9yfUYf6D33OW4K4Szq4hekYYg/kQL0wbXG0pza6ddgWIPxI0n/DANyoB01fr2XNAyxgPknsSjO912sSBq4PqPv7jCaLsPvlDcXaZiGWdnoJy3NuZM01Ee/CibfcvE20j/NrebXKwPtTOHmbUQ7GdveFmWNcI2Gdz3XZ/TZQWGcgHp6r4sdSMMQ6unGrD/0y+DSnCmkoh76UTDRU8vvkvohTicF6MLfSMGIfmN+9hqyG21+96ExpGKaU0gB+ky75nyWG8Ra0uYI7Iozo1NJAfrsKhe/Iw310I+CyeHGFpVc+JHHLcZUwJGoGLs3acjliy7WJQ1DUKBEDK4O4yfUy34uliANQzzu4grSgAjs4+Ix0pC+XhdMtJvFlqR9iPtc3EAa0CWeeo/sOwwuM1vE6JUwnJZB3EUaEAn1FnqENNTGSi52Jw0z0KxsZlshBs+7+DppSF8vCyZjXfyclM/gNFKADNheeGSzufgpachEjXNpKsj3GeL1gou9SENtaFcclkfOiFl/iMmfXZxHGtLWy4KJnowsTspnQP8SZMGynOY+4mJT0tAVNcz9MGlgYI5KDM4vIg3J287Fu0nDDCYZu+MgPlrOzPbvCetVwWQZY8rSSDSV60rSgIzOIAVN6cncKNLQET3BPIw0zGCisTsO4vQVF2/06P/iJqD3Zg6fYZjR+S5eIw2IzD0uDiQN6epVweQQo9HrSC5w8SZpQEZnk4Km1nHxUdLQkS+7WIU0zOAsUoBIqZD3yx79Xy+T7p7bzcXypIHrMipFy8EnkoY09aJg8g5j//hmziEFyOFy87OUMDI1MKVQ29r8LvYnDQzMUTk/dPEoaUiOthH+LmloigdFiJWKy98gDWkqu2CiKfFMK2zuXFKAHDQl+3zS0NTS5teVorkfuBhHGkYc+FxMGhCxF83vCoa07OliQdIwoptcPEwaELG/MXZIU9kFEzVfXJs0j+gOFw+QBuT0D1LQ0rfN75yDGa1gfuo3ZnShsRQB8TvexXWkIRma8ccT6uZ4QIQq+JrRbiE5ZRZM1Ejwx6SYCz9KxbKu1hZ28VXSMKKDjS0rm2GLQFTBWy72IA3J0FKcOUkD12VUmnax/D1pSEuZBZNPu1iWFDfFtmgowmMu/ksaWvqm+XXhmG4DF+8nDU1dQApQEepldTJpqLwFjBl/rbzu4jLSgIr4vovnSEM6yiqYaAr8D0hvS1z4URRmK7U2n/mdYDDdQaSgqceNIiSq5VsuXiENlbaXi1lJQ1NXuniJNKAinjFWWSSlrILJF1wsSnqbujMMyoEiXEwK2tK0dXqZeBNcbEYamlL/kimkARUy0cVhpKGy1LvkK6ShJWb9oWoON7YZTkYZBRNt40nTqtaYXYIiXcoNXlvqZfIp0jDVgaSgpQtJASroJ+afahaN5oXlU5+tsaSBcTOS8qqxRXgyyiiYqHfJYqS2JfqXoEgaJF9PGtrStPW6NzndysWGvBVauogUoIK0Xv6AEr7ui6S2VOqvtTtpaEn9S64mDaigk4ydzJJQdMFkTLgpQWv/JgUoGE9f2hvvYoea5+A7vA1aUhPle0gDKoop4NWjh4zjSENL1xrbvKOaNPubVRcJKLpg8lEXS5HWlp5mQI4SUITrzJ41PnbtjEPvktYuJQWosNdcfI80VGoMzrbQXJeRtotdnEUaqn+x5makt/5DClCCK0hBR97uYpOaHjtradu7nBSg4k50cQNpqARt7b40aeC6jFqMv+g1WGFFFkwmuFiLlLZFwQRleNjFg6ShI3VcL76yi/dw6hmYI3kalBe59I4eJuXZixR0hAdCqLqbXJxMGqqryIIJs0s6Q+MqMKjoLz3Vq9u25zQVbG+Si5tJAxJwToGfB+ySUw49YNyINLR1l4tnSQMS8D2up9VVVMFkWePpZaeYYYKyXEUKOqLm1J+r0fHO52IXTntb1zKYQWKDc8Tri6SAMTNq5W4Xx5CGaiqqYLKbi1Gksy0tm3iCNKDEGz505vNWny2GdX2elVPeFrP/kJKLXZxXwNd5g1QWbk4XHyMNXJdROz9y8QppqJ4iCiazuPgUqezILaQAJbrRxVukoSNakrNtDY5ztPmCCRiYo372LeBrTCKNhfuEizlIQ0euIQVIyAMufk8aqqeIgskO5qd8oz3Wx6NMk13cQRo69pkaHON2LhbnVHeEgglSo2WaZ5CG6FDE7oxmN91IGpCYg41ZJpVTRMHk86SxYzeRApTsOlLQMc0wWZiBOZxHQgCp+YGxnWVM1Ox1DdLQkVu5sUSCHnXxW9JQLXkLJsu72Iw0dowZJijb9aSgY+phslPCx7eki3dzmvm+Qa3l3c7yJVJYKBpwd/feBVJ0oPlZ4aiIvAWTnUhhx143lkugfBTluIYNUm8pmnF35gZSgIT90LLPMnmN9BVGPaVo9to5CiZI1VMuDicN1ZGnYKKB+M6ksGN3Gt3mUT4aC3dHU6NXSfC4dH3mSWbnWCePlN3m4s+koe+2drEQaeC6DDiHGrNMKiNPwWQjF0uTwo7dRQrQA0+6eJw0dCXFWSabcn3uCjNMkDrtmPNmhn/3AqkrDA8Zu8OMWaSMWSYVkqdgwoW/OyzHQa8wy6Q7H07wmHbltHbseRf3kQYk7m4XJ2T4dyzJKcZsLt5LGjr2sIunSQMSxyyTishaMNE6zA+Svq7cSQrQIxRMurOMi3USOp5ZzG/3js78lxSgJn5s3c8ymUTaCqFd2caSho7dSgpQA5pl8ivSEL+sBZMJLhYgfV1hhgl65TZS0LUdEzqWrVzMxSnl+wUYJsssEwomfMb0w+2kADXxU/MzXRGxrAUTLvzdY4YJeuV/pKBrKc2Y+yinsyvMMEGd7Gd+175OqCcWzerz06y/95CGrlDIRl08Z75ogoiNmjKl653mVGR51MWCpK9jT5Iv9JDeazR+7d4qCQzSZgvXG6Z+d04zcs4jDaiROc0vrW7nLaPpaxHUu+RM0tCVzVxcShpQE6PDdblTz5Gy3hqT4d9syM1/13jij156IlxM5yYVXdETwKoXTN5lFEu6xZNM1M2LpKCnPkAKuC4DLbxpFEGilmVJznakrWsTSQF6jJ453Xsfx1A76s/wMGkAUJJR5hu+onPaHecp0gAgFhRMemMiKUCP3UUKuqbZc/NX/HpOwaQ7d5MCACVa28VCpKErzMoGEN0AuxvjXaxO2ro2kRSgx+4lBZmuh++q8OtXwYfdy7pDwQRAmXjI2L17SAGA2G4QuPCXbyIpQI9RMMlmqwq/9m04fV3jSSaAMjFu7h4FEwBR6bZg8k5SlslEUgAGHJVAwaRemGECoCzzuliPNDB+AVBtA13+3S1IWSYPkgL0GDNMslnU/PbCVaOlOGtx+vg+ARANjZlHkQauywCqrZuCiQbj85Cyrj3q4lXSAN53lbF5BV/z1gzMM3mAFAAoyQRSkAkz/wBEpZuCCctxGJCjWpjZVJ9B7pactq5NcfEQaQBQEsbN3dODnsdJA4CYdFMw2Zx0ZfIYKUCfPEwKMtm0gq95Aqeta5qF9TppAFCChV2sRBq6xkNGANEZ6OLvbUi6Mg/KgX6gYJLNghUb6C7lYklOGwNzANHgIWM2zIwFEJ1OCyZqgjiOdGXyCCkAA4/K2aRCr3UCp4vvDwBR2ZgUZEIhG0B0Oi2YcOHPjrWY4Iawejao0GvdiNPFtRkA12XGLQBQPAom5WNZBPqFhpb1GOwyMM+G5ZIAyjDWxeqkIRMKJgCi02nBZD1SlRlPMdEvLAfLTj1MqrAMcS4XK3O6MnmSFAAogcbMo0lDJjxkBBCdTgomumlYgVRx8Ufl8KQmu1Eu1qnA69wgvFZ0j4IigDKwSUJ27CwJIDqdFEzWYUCey1OkAH2i2U1sm5pdFQomzP7LjhkmALgux4WlkgCi02nBBNlM4oYVfTTFmOGUx5oVeI1cn7N7hhQAKMFapCCTt1w8QRoAxKaTgsnapCkznmCi3+ihk10VihFcn7N7lhQAKNg8LpYiDZnHzG+SBgCx6aRgshppyuxpUoA+Y0lYdsu7mDXi1zeviyU5TZk9RwoAFIzZJdmxHAdAlNoVTGZysSJpyowp3+g3Gqjluz6uFPHrW5NTlNmLxpNMAMWjYJIds7IBRHtD0MrbXIwhTZkxwwT9xgyTfFaN+LUx+y87luMAKAOFbMYrABLTrmCyKinKhRkmYABSbavy2pLEchwAZViFFGTGQ0YAUepkhgm4WUV1sSQnn5V5bUl6kRQAKNgoi3sZZ+zYIQdAlNoVTOhfkg9PMdFvFO3yWYXXliQKJgCKpibcs5EGxisA0tKuYLI8KcrleVKAPmNZWP4B8EwRvq4FXIzj9GRGwQRA0Zj1lw9LcgBEqV3BZAVSxKAclcYsp3xGuxgf4evi2sy1GUBcWI6TDw8ZAUSpVcFkMRezk6JcXiAF6DMKJvktE+FrWo7TkgsFEwBFYxk7Y2YACWpVMFma9HDxR+VRMMlv2QhfE8sl+b4AEJdlSAFjZgDpaVUwWYr05MZTTPTbay5eIg25xFgwYWDOtRkA1+WUUDABEKVWBZMlSQ8XfySBp+n5LBXhaxrPacmFggmAIsXa74oxMwDkRMGEiz/SR8Ekn8UjfE1cn/OZRAoAFGgJF2NIQy40fQUQJQomXPyRvsmkIJdFI3s9M0X4mqqGZWoAisRynHx4wAggWu12yUF2r5ECcHOYhEUiez0LW/st4dEas64AFGlxUpALBRMA0RpoMyhHdi+TAnBzmATN6FgwotfD7JL8mHUFoEg8ZMyHggmAaDUrmMziYj7SkwtNBRELZpjkF1ORgmI23xMA4kLBJB8KJgCi1axgsgipyY0lOYgFs53yi6lIwfU5P2aYACgSM//yoecfgGgNVODmoKqYYQLei+mYN6LXshCng8E5gKhQMMmHGSYAotWsYMJynPx4qo9YUDDJL6aCCdfn/FiSA6BILMnhmgwgUc0KJvOTmtxeJQWIxJukILd5eS1JfT9wfQZQJMbN+fCQEUC0mhVMFiA1uTHlG7HgyU1ag+F5OB25TCIFAAo0u4tZSUMuFLEBRKtZwYQnmPlNIQWIBA2I82OGSTpYogagSCyTzI9G3ACiRcGkPK+TAkTiDVKQ2xwRvRZmmOTDEjUARVqQFDBmBpCuZgWTOUlNblTLEQuWIOQ3d0SvhYI212YA8WCGCeMUAAlrVjCZi9QAwDQxrU9nhkk+PMkEUCSK2PkxExZAtCiYlIe+EYgFDYjzi6VgoqVBYzgdubAbA4Cir8sAgEQ1K5iMIzW5sTMJYkED4vxiWZIzE6ciN3ZjAFAkCib50YwbQLToYQIA7cUyw4Ridn6vkAIAXJejQjNuANFqVjAZTWpy4ykmkI5YCibMMMmPggmAFD8fAAAlaFYwYXphfqyTB1C0saQgN/pLASjSbKQgN2aYAIhWs4IJTQWBdNB9noE5pqO/FADEhR4mAKLVrGDCU8z8mPaNWEwiBbnFUqiYhVMBAFHhugwACWOGSXkomADpmDmS18GW7wDA5wMAoEcGSAEAcM0GAGTCchIAYPCNDGj6CgAAAABARVEwKQ/bCiMW7HqV3xRSAAAAANQLBRMgffQkyu8FUgAAAADUCwWT8rB1JQAAANDanKQAQKwomAAAAADZvE4KchtNCgDEioJJecaSAiAZb5KCZNCQG0CRJpMCAEhXs4IJW6TlN44UIBI8ucmPa2I6ZiIFAAr0FikAgHQNcPEvDTNMEAvWBucXyxNEZkfkRxNkAEWiKXh+s5ACALFqVjCZRGpyo2ACpOOVSF4H25UDQFwoZOc3GykAEKtmBZM3SE1uFEzAezEdsSzJeZ5TkdtcpABAgShkA0DCmhVM2BI3P3qYIBb0bMgvliU5DMzL+9wDgCwoZOc3NykAULWBIxf//Hiqj1jQsyG/WKZcU8wGgLhQyAaAhDUrmDxHanKjYIJYzEEKcns2ktdBf6n8eJIJoEgUsrkuA0gYM0zKMzspAJIRS8HkNU5FbjOTAgAFYtt5AEgYM0zKQ7UcsWCGSX6xFEzYvjI/itkAikTBJD/6/gGIFjNMysOSHMSCHib5PRvRa3mK05ELu+QAKBIFk/zYVhhAtJoVTJ4hNbnxFBOxYJec/GIqmDzN6chlFlIAoEAUTPLjISOAaDUrmDxGanJjGQQYiKTjiYheCzNM+H4AEA+acec3JykAEKtmBZPHSU1uTPsG0hFTEZnrMwNzAHFhKTvXZQCJYoYJHwBIH83U8mOGSVqfe1ybARSJZTn5MPMPQNQDx5FQMCkGy3LAQKT6Xre4+obQwyQ/iogAikTBhPEygEQ1K5g86WIK6eEDAEmgAXE+T0T2ep7klOTGtu8AivQsKchlHlIAIFbNtht908UjLhYjRbkw7RsxoHCXz0ORvZ6HOSW5McOkt+YOOR8VPhdHh58PPw96iDNS/y/tbDTStqOaPdfNLmDNvn63n+ujc/z7WUP028suXu3T/z3Z/My9kbwaXluzsWnjTI7XXLzU8O/0Z2rAemMfjondJfPRg52ZwzkFgKiMafFn9xsFk7xo/Areh9V3f2SvZyKnpJAbePTG6S62Jw3ooVF9+D9ZKpmfZpnQ1BxAdAYqdJPAjSqQDT1M8nkgstczkVOSGwUTAEWiYJIfy3IARGmAQXmpWAqBGNDDJJ/YCibqqfIypyWXhUgBgAKxe1l+FEwARImCSbkomID3YfU9EOFr4vqcz/ykAECB6C2V37ykAECMWhVM7iM93Kii8mg8nN+9Eb6miZyWXCiYACgSBZP8mGECIEqtCiZ3kZ7c6GGCfqNXQz5TIr0WTuTU5LIAKQBQoIdIQW4UTABEqV3TV9bJ50PBBAxAqu1BF69E+LqYAZjPgqQAQIEomOTHzD8AUWpVMNGT1TtJUS4syUG/UTDJ5+5IXxfX5nyYYQKgSJNdPEMacqEZN4AoDbT58ztIUS4UTNBvNFHL53+Rvq7bOTW5LE4KABSMQnY+C5MCADGiYFIuCiboN2aY5BNrYUKNaF/n9GQ2m9HfB0Cx6P2XDwUTAFEa0+bPbyNF3KyC92CN3Rzp63rTfEF7NU5RZou4eI40lO5MF4+7GNcQui7Nb/QsQDGeMN9D5MEQ/XI3pyL3NRkAotOuYHIjKcqFJ5joNwom+dwS8Wu7ySiY5KFlOSxtKt/RIUYy2qYXTnSztJiLJUKMD+dIP9JAvd5eNL/cRUViNbyeGGKwQBJLY25mmOTDDBMAUWpXMLnHxSRjaQk3q+A9WD+PuXg64tengvZOnKbMeJrZf5op9XiI/7b4e3Pa9OLJMiGWDT8u52IsqUyGxpxXuLjSxXXhOvdwRV77fzl9ucwcxizPkgoAMWlXMHnL/FPMjUkVN6uoJKa8Z3dL5K/vJk5RLuNJQWVohsHtNvKMoFEulnSxuotVQ2wUfg/x0zjzKhfnujjbxfXmC2lVpBkw6i01E6c1M80yoWACICpjOvg7NxgFk6xmDx+cNGdEPwcfyOZ6Xl/SuKFOwxSbvkTjzIbfX97F1i52dvF20hSdS12c5OJU8z1IUqCxnnr/rcHpzUwz/1gqCSAqAx38nRtIUy7zkQL00UKkILPrIn99z5hfNolsKJikTf0kDnexvosNXPyLlPTdK+GcrOJiMxe/s3SKJYNu4TTnsgQpABCbTgom15KmXBYkBegjCibZXVOB1/gfTlNmS5GC2rja/GyT7V08Qjr64jgXK7r4qqW9AyNLJfNZmhQAiE0nBRM1sZpEqrhhReXMYuzUlNVTLu6vyI0gstEMk1GkoVa0ZEfLJS4gFT3zqPli1a4uHqjB8VLEzmcpUgAgNp0UTN5kUJ4LTTfRL8xuSn/QexWnKjPtyMBOOfWjYug2Lk4kFaW72PzW53VaDqVZ2W9x6jNjhgmA6Ax0+Pf+TaoyY4YJ+oWbweyurNDg/GVOV2bLkoJaUnPOXVycQipK83fzM0uertlxT3ZxK6c/MwomAKLTacHkSlKVGbuUoF8WIAWZXV6R1/mGUdDOYwVSUFuaPbuTMUurDNoi+EMuXqvp8fOeym4xY1tmAJHptGByeRhcINvFH+C9Vx16+lylZYiXccoyW54U1Jpu6Hd08RypKIx2J/qI1bdYIhSx892XjCcNAGK7MHXiRWO3HG5aUTUMOrKp2jKXizllma1ICmrvIRd7kYZC6MHazi6er3keuCbnw7IcAFEZ6OLvnk+6MqFggn6hYJLNpRV7vVoySR+TbJYjBXCOtWpsIx67Q4xNAmSi+UIcslmGFACISTcFk4tJVyaLkwL0CQWTbKq25aimvl/KactkuS4/B5Em7WryddKQi5q7HkgaprmEFGS2MikAEJNuBorqY8JTzO7N7mJe0oA+WJIUdO1Vq2ZPEGYAZjOri6VIA8zP1LqcNGR2gItJpGGai0lBZquQAgAx6aZg8opV78lrLBiQo9dGG7ObsrgsXOuq5l+cusxWIwUIDiEFmahQciRpGIIidnbMMAEQlW6nIv+TlGWyFClAjy3iYgxp6FpVCw83u3iY05fJqqQAwVl8H2VykovJpGGIiS7uIA2ZLOpibtIAIBbdFkzOImWZ0MAKvcZynGyqPFODgnY2PM3EIPUyOYE0dO0YUjCic0hBZizLARCNbgsmD7i4hbR1bSlSgB6jYNI9Xd9uqvDrp2DCwBz5/ZUUdOVJY2ecZiiYZEchG0A0suwOcDpp6xp7yqPXlicFXft7xV+/1sy/wmnMNDBn+RoGXReKAOiMCrVvkYYRaaccNkvIhkI2gGhkKZicQtq6thIpQI+tSAq6dkbFX78aL9JosHszGU8zMd0UF1eQho79gxQ0pQI2DbmzoWACIBpZCiZaknMnqevKkmFQDvQKRbruvGBpbAN5GqcykzVJARqwvXBn3qQg0BazsrNh9zIA0RjI+O/4AOiOtnhdljSgh1iS0x1NK389geM405gen8U6pAANriIFHbnVfLEZXJOLtpCLxUgDgBhkLZicROq6xhIJ9MriLuYgDV05MZHjeMrSmCnTa2uRAjRgFm1naPba3jMuLiUNmVDIBhCFrAUT7STBbjndWYEUgPdalPSENKVp5fSZ6t5aOT4PkR4VHl8kDW1dQwo6ciopyGRdUgAgBnkGiCeQvq6sSgrQI/Qv6Y62EX01oeM52cUbnNauaEbWcqQBDe4lBW2xdKnzzxiW5XRvPVIAIAZ5CiZ/Mt9NHp2hgRV6heVf3Tk5sePRFPALOK1d24AUoMHTpKAlNXxl6VJnHjWWSma9Jo8iDQD6LU/B5GEXF5LCjq1kTPlGb7BFauceszS34v0TpzbT4BwYxJKc1u43ZrJ142RS0LW5jRmzACKQ9wb+SFLYsdmMnXLQGzSw7Nxx5p+UpkZr5idxertCwQSN+P5pjSVL3VHB5DXS0LUNSQGAfstbMNH2wk+Sxo6xLAdlW8LFfKShY8ckelyTza+bR+dWdzE7aUDA7InW7iEFXXnWxd9JQ9c2JgUA+i1vwUTV8j+Sxo6tSQpQMmaXdO4KS3sN/nGc4q6MNnZlADr1ACngmtwDm5ECAP1WRE8NluV0jj3lUTaKcp07OvHju8TFfZzmrmxECoCOPE8KunaOiydIQ1e0lH1x0gCgn4oomOgJ7XmkkptZRGFtUtCR51z8OfFj1C5mv+NUd+UdpADoCAWT7r1uzDLJYgIpANBPRe3a8itS2ZFFXSxMGlAiluR0RrNLXqrBcR4bBunojNbLjyYNQFsUTLJhVnb3JpACAP1UVMHkbBd3k05uaNFX87oYTxra0syLI2pyrJr+fTqnvGNzcY0GOsK2y9lorHwhaejKu0gBgH4qqmDylovDSWdH2LoSZWE5TmfOsnptiflbTnlXNiUFQFtsu5zdb0hBV/QgaCXSAKBfBgr8Wn8w3xcAra1PCsB7q68Oq9nxXuTiFk57x9iVAWiPbZezO8PFg6ShK1uRAgD9UmTBRE8bmGXS2U3tKNKAEmxICtq60erZpJo+U51TwYQ+JgDKomITs0y6szUpANAvAwV/PQ3KXyGtLc3tYgXSgBKw3Ku9g2p63Ce6eIbT3/E1mi3ggdZeIwW5HMV4uStbuJidNADoh6ILJk+ZX5qD1jYiBSiYinDzkYaW7nHx15oe+8vGE81u8DQTaO0lUpB7vHwMaejYrEbzVwB9MlDC1zzE2MaynY1JAQr2DlLQ1qEu3qzx8TMDsHNbkgIAJfuF+V3b0JntSQGAfiijYPKAi6NJbUsTSAF4T/WUGuwdW/McPMW1uWPqBzQHaQBQortcnEYaOrZdSfctANBSWReeA41ZJq0s62JR0oACsRVq+2sSsyvMfmb1nmXTqZlcbE4agKbYFbG4zyZ0ZkFjhjaAPiirYMIsk/ZYQoGiLOViPGlo6j6uR9Pc6+IE0tCRbUgBgJJd5+Jc0tCxD5MCAL1W5tS2HxlPdFuZQApQkHeSgpZ+aOzo0OjHxiyTTryHFADogf1IQcd2MJblAOixMi86D7v4JSluiuneKMpWpKAprRFnRsVQd5OTjizhYg3SAIyIXXKKc5WL80hDRxZxsQlpANBLZVdpD3bxDGkekbaBXZI0oIDv4S1IQ1N7u3iDNMyAWSadYZYJMDJm7RVrX1LQsU+QAgC9vtkqk5qCHUCam9qaFCAnPQGfnzSM6BIXZ5CGEWmWCX1d2qNgAqAXruLzqmMfcTELaQDQK71YB3iE+aaLmNG7SQFy2pYUjGiKiz1JQ0v7G32m2lnf/M4MAFC2fcNnF1ob52J70gCgV3pRMHnVxV6kekRaSjGaNCCH7UjBiI53cT1paEl9pg4nDS2NcvFB0gCgB252cRxp6MgupABAr/Sq0/RpLi4g3TNQlXxD0oCM5jP/BBxDvehiH9LQkQONPlPtfIAUAOiR7xsz/zqhJe2LkAYAvdDLrbn2MJoMjuR9pAAZbWNsr9dswPkoaejIs8aWlu1oJuC8pAGYhhv68jzk4mekoa0xLj5LGpCwZV2c7uKH5me7oo96ebN1q/l+JhiKp5fI6v2kYAY3GstMuvVbF3eShpYDc77XgOleJQWl+omLR0hDW581HhohTcuZ37hAvXr0EFArNeYgLf3T6wsNT35H/qZYhTSgS7MZTYOHU7O83YyZbN3Stss0yG2NwjaAXpnsYm/S0NZ4xkFIkO4JL3axWMPvqXDybxdLk57+6HXB5AUXXyPtDMaRmwYJY0nDEEe6uJo0ZPJPF38nDU1t5WJu0gCgR05ycQVpaOtLpAAJ0UP082xosWTQqi6udbE5aeq9fkxl+6uLs0n9EBRM0C127hhK676/SRpy+aqLl0nDiGZ2sSNpANAjmjH5RWPGZDvbuliRNCABKpZcbK2bGauf2r9cfJl09Va/1v6pIjyZ9E+ztotlSAM6NIvRLHg4LcV5gTTkcr+LA0hDUx8nBQB66BYXvyANLakZ5u6kARU3WCxZrIO/q75q6tX3e/MPc9AD/SqYTHTxLdI/xE6kAB3azsVcpGGaP7o4izQU4lAXt5GGEW3mYnHSAKCH9nPxAGlo6ZPGTmaorm6KJY0+7+J8FwuSwvL1s7v0b8x3AIb3CVKADvGkezrtJLAHaSiMdr/4nPnp4BhKTzI/RhoA9NDkcGOE5mY3P8sUqJqsxZJBm7q4xsUapLJc/SyYTAkDc9bMeyu4WI80oI1xLt5LGqb5jItnSEOhrjS2gG+GwjaAXjvXxXGkoSU9OJmNNKBC8hZLBi0Zxm07kNLy9Hv/8ruMpTmNWJaDdtR4kjWL3u9cnEMaSvEd80snMdQaxpMcYBIp6Lmvu3iMNDS1gIsvkAZURFHFkkGaZaVNVfY3PxsWBRuI4DUczk3PNB91MRNpQAufJgVT3e1ib9JQmhfDe42lOTP6DClAzb1BCnruWa49bekBLLNMEDsVS9R7ZLESvva+Lr5NiosXQ8FkShiYP8XpmNq45/2kAU1oD/YNScPUwbp6SfCUs1wXuTiMNMxAy3JmIQ0AeuyfLo4kDU0tbH6pPxCrwZklS5b09dXz6CTSXLyBSF7Ho1zkpvkiKUATnyUFU33XxbWkoSe0NOcO0jCEdmOgsA2gH/ZycQ9paGofF2NJAyK0khW7DGe4t1zsbCynLsVARK/ldPN7Stfd5i5WJA0YZlYXu5CGqdMYDyUNPfOS+V2ZXiMVQ7A0DkA/aGallm+/TipGpFkme5IGRGY1F5dZecUSUQ+f00h1OQYiez3qcn0Tp4VZJpiBBkjz1DwHj5uvnr/F26GnbjDWxA73LitvSi0AtKIZlt8lDU190/wSdyAGb3dxoYv5S/w/vu/iKFJdntgKJq+Y3wWk7r0JNJNgdt6eaLBHzY9fRRIVjdgloD9+6eJs0jCNutBT2AbQL5ppyYYJI5vDfPNLoN82c3GelVssUa+5H5Pqcg1E+Jq01XDd+5loJsGuvD0RTDC2Mv2B+bWf6A8151Yh9yFSMY12rJiVNADo0zV5JxcPkooRaXnCyqQBfbSN+QdNc5X4f5xoPFDtiYFIX9efXfyq5ufmGy7G8BaF8/WaH/9ZLg7kbdB32snsw8ba+UF6YvQR0gCgT5528SGuySPS+Pk35mcDAr2m1RJnWLnbXGts/CnzxVOUbCDi16aCwcU1PjdLh2841NvyLt5b4+O/2/xTNPqWxOHfLvYmDdN8jRQA6KNruA41tVkYPwC99GXzD/5nKvH/uMT8Aywa8vdIzAWTN8w/vavzFPBv8hatPTV2q+sTEu0n/wEXz/E2iIpm/51IGqZa28UWpAFAH/3Oxf+RhhGp18vcpAE9sr+Lw0u+v1bT5+3N72KIHhmI/PU9EW6YXq7p+VnTxda8TWtrWav305FPuriVt0GUPuviOtIw1T6kAECffcXFFaRhBtot56ekASUb7eJIK7/Z8O0utnXxPCnvrYEKvEZV0nat8Tn6AW/T2to7XITrSB86f+MtEC0VsVXMfpxU2JYu1iUNAPpIU/N3cHE/qZiBCvzbkAaURLuanmrlb1hyj4utXDxJyntvoCKv82Tze0zX0YYu3sdbtXaWdPHpmh67lnuwRVr8tDuDiiavkApmmQDoOxWw9fT5BVIxg6PM70AJFGlhF5f14D7tYRfvNnYq7JuBCr3WA1z8qabn6YCKnSvkp4LBTDU8bjUV1XatdP2uzvn6JGmwD7pYizQA6LPbzDeDfINUDLGo+d4SQFG0bfXV5nuZlelRFxPMb4KAPqnSTbhuoPTE/ZIanqdVXXyCt2ttrFHT860PAzWyYsZCtWgGIDMszH5CCgBE4FwXnycNM/i4i4+RBhRAS3H1wGh8yf/PU+Z7WVIs6bOqzVp4LdxQ3VLDc6XOyzPzlq2FQ6x+O+PoQ0FrjFmbWU0Hmd+poc40qJnAWwFABI4xv8sehtJuQiuTBuSwu/mi5Fwl/z/aIXKLmt7zRqeKyzyeDzdWD9bsXC1tfm9vpG2rEHWiBqLvNSroVaddGureqFeFo1G8FQBE4EAXvyYNQ4x1cYqLOUgFuqSH1ke7+GUP7p/Vh0g9SyiWRKKqfTEGm988VbPztZ/5LdKQ7sX4sJod8+vm+z9cxemvvDfNT3m+qMY5WN/FzrwVAERCT8OPJw1DaIbJ70kDurBQGNt8qgf/l4olenB6NWmPR5Ubiaqx1TZWr27gmv51AG/bZO3pYsUaHe9bLnZxcQ6nPhlaNqmdc66pcQ5+auVP1QWATgz2/zuVVAzx8TDmAtrZxMUNLjbqwf9FsSRSVd955VoX7zE/pb8utJ/8xrx1k6NthPet2TFridmfOfXJeT584N9c0+PXLMD9eBsAiIRm/6nZ6d9JxRAqbm9HGtCElteqqKaZJYv04P+jWBKxFLaq1f7X7zc/tb8u1FxxJt6+SdFSnNlqdLzfMJqEpkxFE3WRv7Wmx/81F2vyNgAQCc3++5BRNBl+D6SHNmuTCgyjWaJ/dfEzF2N68P+pxcQ7jGJJ1BeLFPwrfBDUpWiibYbZxjMd2kL4fTU63n3ChxDSph2P1OG9jkWT0S6ONQrbAOJB0WRGav76TxfLkgoEb3dxvfn+er3wVBgr3UTq4zWQ0LGcafUqmnzfxVq8hStvUatXo1cVSw7itNdGnYsmaxhLc6psZlKABA0WTU4jFdOooae2iV2cVNSaHnR8z8UV1rsCmjYxUW8UdsOJ3EBix1OnoommiP3RxSy8jSvt/1zMW5NjpVhST4NFkzr2NPmWi3V5C1TS7KQAiVLRZEcXJ5KKaXSDfLaLBUhFLamP4MUufmS9WYIj95hvKHsX6Y/fQILHpKKJmjjVoRHsKi5+zNu4sj7nYtuaHCvFknpT0UTrc6+o2XHridVJxq45VcQ5Q8rUCFa71B1OKqbRcvcLjaJJ3WhZvJbDbNLD/1Ozbie4mEj6q2Eg0eM6z8U7rR5bDquD82a8lStHxa5f1eRYv2QUSzB995y6bSO9nItjzHfcR3WMIwVNzUEKkqCiyVeNpYONVDS52FieUweLme/nc0KPr/fa4VWzbh/iFFTHQMLH9m/zTzSfqsE51BPMBXk7V8ZYFydb+rviaGncTi5+yylH8JKL7a1+20mredzXOf2Vwg1Tc2NIQVL2d7Gbi7dIxVQrm9+BczlSkSQ9vPi8i9tdvKfH/7c2Kdnc/KxbVOxmO2WaYrWxpT/lSfuD/8n89G/E7zfhAzllWhL3gfC+BBpp/fzHXfy0Zsd9sPkiPuKn/iU8hECd/N78bn2TScVUS5lfQroeqUiKimAXhvf7nD3+vzWT5b0uJnEaqmegBsf4Pxcbmt8iKmVbujiEt3T09jK/bjhlT4f341mcbjQxxcU3XXzF6vNUU0/lTzWeWlbByqQANaTPbBV1HyMVU6loeon5hz+oNhXB1dB1sHdIr/0sjP1f41RU00BNjlMXf/X5ODfx41Q/k514W0dLzYhTL2rda36LtCs53ejAES7eb/V54jJfuCmhqWDc1iQFqCk9XFzP0n/I2Cktnf6r+e1m6UNVTdoR6o5wDvuxs6gelH7D/IMiVNRAjY5VA3JNhfq/xI/zaBeb8taOjhqJnZj499w15mdz/Y/TjS6o6ZqKbPfX5HhXMF80Gcupj9YmpAA19lAYR55MKqbdK2l2gmYIzkk6KmM188tv9D5eog//v5am7+Di55yKNC4CdaImlGr0o5kYqU4Dn8nFGeZ3YUEctL+7dgZJeZtKNfGc4OIJTjcyuMXF211cXpPj1RNcFYpm59RHaQIpQM2pQfdHXXzXaAY7SLMhNfNmHVIRtfHmd6a7wXyD1X7QygYtbzuV05GGgZoe9y/MN7d6MdHjm8f88qMleYv3nabea5vrxRI+xn3NN/F8mdONHFRs03bwR9TkeDWQ+4dRNInNGnx2AlNpCcGBLrZ18SzpmEo9qLQL5141voeK1fwufuniLhe7Wv82wtCGI+ub3z4YiajzN7umRG8YvrFSpBv0C4ytEftJ+7qf7WL5RI9Py9y0XeqPjLWZKIYaon0lDHZeqcHxDhZN5uLUR+OjpAAYQg/g1jX6mgzSTO5DzTeEXZ509J0eEu9nfkfU3V3M3Od7Sy1ne4DTkpa6V0f/a35q9JmJHt+yLi42iib9oJkll1q6UzfvDN87p3GqUYLjzPc1ubcGx6qiidZZs41t/2kno0+SBmAGgw3djyAV06jX0Y0u9g7XDvTWouYLVw+6+IH1vy/YQS62t3RXL9Qa08nMnje/LvH7luY6zcGiybKc6p5ZINwArZ7o8alIomLJHZxqlEjrj9dy8ZcaHKsKq5rmvQKnva8+7GIR0gCM6FXzMwB3DGNn+CWVh4TPKzZc6A3N6tEGHhPNL43qd6Fkcvie2MfFm5yeNI2aMoWZ9A22cvFHS/NJ38MutjHfXBHlWcb8MpwUb3xeCx9Oh3Oa0WO7mV+bPEvix/lsuGk/n1PecwPh83FlUtHWc+anwaO+1OfnBGNHqeHU5PObLu4hFYVfn9/l4kvmdzyNZYtntXXQQ/fbOEXpvwEx3b/MN3xLcbCqniaXhwsOyqFdPq6yNIslg9NxKZagH35nfhbGTYkf52DD7j0jGhDWxWeMYkmnWJ8PbQM/wfxSiDdIxzTq63Z7+MwaTzpym9fFN1z8z/xuk++L6LPxH2HcT7GkBiiYzEhbQW3t4nuW3tQqNRb8p/kKLYr1IfNLnxZI8Nj0FElLI67jNKOP1HNKnee1ZjnlqZH6XP6Z+SeVPMXvDV23DyQNHTuHFCCMkX9ofgMFluhOp6awX3Bxt/nCCUviu6Pdbd5tfsb/Iy5+GlkO9b7X8hsVb57jdNUDS3Ja2yB8wy6X4LEd7eLLVo+dKMqkRl9q9LRXgsemNcpaCvFnTjMis3m4hi2V+HHqKe6u5ouxKGkcZL4v0/akoiMPuVjbxZOkAg1mNV903MOYHTecbrRUAD/M/GYAGJlma3zC/E5lsbZGUIPZj5ufsY86DRQomLSlZkKHhhvH1NwULkw8GchGzQFPcrFZgsd2nvkp6g9ymhGpOVwcbOnPmJsSBtrfcfESp71w3wzvI7R3q4sPmH9yDoxEDxqPcbESqRjR4HIdjR3rXnTUTBIt9VZPEvUBiX2LZi3B0S5qz/A2rh8KJp1Tw9SjzG9jlRJ1d9Z6+f+ztKe5F23H8KE3b2LHpe3Q9grvdd4PqILNw/t1mcSP8z7zxSGWQxR7HdcMOpYnt6alyj9x8VsXr5MOtKHm3Np5UsXImUjHiNT3RX0T/+TiLKvPrkPjzG+woSLJdhUZQ79svo/KbxkX1xcFk+6oB4hmm3wuwWM7LxzX/ZzmlnRx/7X5KXmp0Y2Y1t3S0A9VM5v55oMq9o1J/FhPDYO3+zjtuWgJzinc0LWkQolm3/w+3DQA3VATZTWK35xUtKTiyYXmCycqoqQ061tj5neY33JZs7HVD69KBer/uNjZxZ28TeuNgkk2uvgfaen1NtGAaH8XPzeeIs3wveLiU+b7laTW2PUJF7sbvUpQfauHa/P6iR/nq+aX6eh6xPTg7n02FAGYWTKyiWEccJRRKEH+sZMeMOlh48KkoyPqE3SZ+T4ZV5pveF6FMfns4TNYPY5UGFFPktWsmj1t1Nj1Ry4OMHaBglEwyXth+K75J30zJ3Zs2r5LUynP4DRPpe1M9ZRkg8SOa0oYEH/LxbOcZiRCN8GfCQOdBRI/Vk3j/mUIuvW3p6UCv3DxRVIxouvCje1fuUlAwcaFG1AtKxxNOrrymvmiifoO3hHG6He5eLhPY7f5zT8wXr7hxzXM961JoQh9QxhD3MBbD4MomOS3gosjXGyZ4LGpwr2v1XeHBk0n1ZZ5OyR4bNeY3yXpWr6FkShtyftj8w27U59J8IL59dW/DoNozGhdF8e6WIVUDKFBoJoZ/srFBaQDJdPMA82O24RUFEIzwB4M1/3BUPH8+WExKfx99S0cPltFS1pVTJ7b/ANgPRBWgUszgvTQYZGGH8ebb0+QIs3c1NLenxkFYwxDwaQ4ah6nvcKXTPDYLjH/tPZ8q0fDI00p1MyhTyR4o6U16dpt4zgXb/Fti5p8P2sAtGUNjlUDYc0OUBH/Ck79VBroq/CtHl082Z5OS7n+YL7QRj8c9Jp2W9KSwhVIBSK5z9FnxF2kAiOhYFIsVWm/7mIf81tepuYW80+hTja/m0pKVBhR5+69Er2xejncNKqB3yS+VVFD6siv5QZ12e5SU7ePNr8LwyM1PN8Lmt8B7isuxvL2n0Y9EbQr3l+M/iToLzXo1gxAPdWfn3SgD/QQUQ9ITzR2wEELFEzKsZD5tZqftjSfaGlKn4omejpV9aeYS7vY1fze6inODlLjquPNb/HHVH0wQPdrk/ez+jQg1If8peZ3hDnT/PTtVOnzdvNwjrWUkh1wvCdd/NF8z6rbSQcioyUe3zb/wHFW0oEejY0PC2OBF0gH2qFgUi49ydSuMx9O+BjvdXF6iCvDRSh2alL1/hAbJ3xudIOkQgnboQFDaTbg18zPBhxXs2NXIzttI3+R+V0Yqj7jbCBcx/U5+yFjJ45BahSp3iQqlPwz/BqI2eIuvmf+YSPFTpTlbBd7m2+kC3SEgklvqMmVeoBsk/hx6inWuebXAipiWQs4uA/8BPPLbVJv+qfdjfY3OnwD7ajJ3R4hxtXw+FXgvtp8Y+9rwzVjYgVe94outnDxznBdn4+38lQa0KkIpmVYmgXK7meoIjUWVa81Cico0o3ml9/Q3Bpdo2DSW9qWVtMOt6/J8T5ufsnOzea3Q9OP91m56wS1Dlb7vq9pvlClUIFkVOK5nhIGyAeFDwUAnat74aSRdlS4IVxHbnNxTwgt5el1o+g5zc8I1PV8jRBrhvOF6VT0OiV8BjxIOpAICicogq6Jmm39R2OzA2REwaQ/NOjTVPAP1+BGfrhXXNxv/inmA+FCpm79ehL2XPixsRGdnoBqXbp6D8wRPjS1XaieKKo4on4xi5nvRbJMGGDXiaZZq0eJGrrewbcWkIuKJWpCqOU6i5KOGa4194XrthrlPRJCPx++heVL4d+8MGyAOsewa/n8DddyNWnVjjZLuVg2XNNpBNmciiSnmd8V6R7SgYRpqc7u5ncxGUc60CHdXxxovvk5SxKRCwWT/tKTMz3R3NXo4o/uqMj0exe/dvEo6QAKNbOLj5nfNWs10oEIvGG+ee+p5gslj5AS1IweiH02jJvHkw40oSL+wWGMzE5gKAQFkzhoerEq5191sQTpQAta1qTO3ifyQQCU/xlpvk+GtqZ9j6W56xnipRmZ/zJfJPm7+UI5UHeapaYGz9pV5+2kA8HdLn7q4jgXr5IOFDoYpGASFQ3G3+viCy62tvot18HINJXwb+ar5ZeQDqAvVMzW000VtxchHSiJen9pVxvtcKNiySRSAjSlnkZfMj8jcA7SUUvXmZ9RonEyPUpQCgom8VomDM4/aaylrytteXaU+R4lPFkE4qDeG9uGa/N7jGaEyGdKGPCfZb5Icp2V2xgdSJGW66hoogeOa5OO5L1uvkCiZelXkg6UjYJJ/DTr5F3m+5y838UspCRpT5lfbnN8GDgDiNd8YZCu4sm6pAMd0hp7bW15notzzM8qAVAMFUx2dvERYzZgatSz70jzM67p34eeoWBSLeoOrnWbO5ovogyQkiRoJ4kzXfzZ/BTs10kJUDnLhmvzjsYTTgz1ovnllOebL5TcSkqA0umB4xYuPuHig1a/XRRToTGxejhptxsVmN8kJeg1CibVtWD4AFABZTPzTbBQHdo+WVOwNaXwbKNBFZASFU80I1A9qTYxmsXW8fp+hYvLzRdKrjW/yw2A/pjNxXYuPhB+ZHvi+F3j4iQXJ5iffQ30DQWTNMwTPgA0QFezWBpfxek+82vUzzC/PSQzSYB6XJ+3CddozQxcgJQk537zBZLLzBdJ1H+KwRUQJ/WdmhDGzNu7WIyUROMm87OtT3FxD+lALCiYpPlBsHEYoKt4sgYp6ZuXwwD67BB3khKg3p+54Zq8pfniiWafzE5aKkVPOv9jftbI1eZ7TT1GWoDKXpO1hHKrcE3W+Hlm0tIzWl6jIvPfQ/yPlCDKCwUFk+QtbL6SPhgrkpLSaMaIphBeZH6d+lUuXiEtAJrQUsp1zBdONg2D9flJSzQ0c+QWFze7uNF8oWQiaQGSpQL2O8wXUNT/ZHXzRRUU52EXF5rvR6KHic+SEsSOgkn9LBwG5xu42Mh8ZZ2dd7LRRV5PGC8PoWLJy6QFQA7aUv7t5nfd0Y9rGcssy6ZdajQD8DabXiDRj8+TGqDW5nKxofli9kZh7DyWtHTliTBGVpFEDxPvICWoGgom0NTD1cwXTtYJP+rXs5KaIV4Ig2hNv9ZTRhVH7jbWqQMo+XPafBFl9YZY2cVyRrPvbjzp4gEXd5mf9v2/MHDXdZzCCIBOjA7XYI2V1zRf0NYyS4ra3mvmi82aYX1l+PFe0oLKD8QomKDJB4IG6KuEeJv5pTwaoM+d+LG/1DCQvt18kURNqCYaxREA8VCxZKlwfV7B/M48S4Vrt36s08zBJ0M8Yn62yAPhmt3440u8ZQCUYCBcf9cIY2Zdj1cKP6ZaSHkrXFf/F8bIg8sWNXZmRzAkh4IJujWfi+VdLO1iSRfjQyxufrnPAuHDI1avhUG14r4wmL4vhJ40PmgURgBU/LPdxULhuryo+V0gFg+/p+v0/CH089iml2up4zMhGn+ueDqEGq9qmvej5gsl7DgGIEa6/uqBowrZS4QYH37UGDrW2dxvhWusiiIPhXgwjJPvCj++yulFbQZVFExQMM1OWSAMzPWjttScN/w4Txicq+I+V/i5noLO1DBo1591Ms38RfPdtTVQnhxiUogXwqC6cYD9WAj2cgeAhnGAi3Eh5gzX5uE/jrPpjQ/H2IxPTfX3VCgfXNryRrgWWxhUD/Z2mhyu3YPX6ufCj4O/N5nTAaBGNGt7QfMPI+cPY+fBn88RxsZzhZ/PHmJsGDcPGgh/x8J19I0RrsOTGsbJL4Zx8uRwzR4sQj/ZMGZ+OoyxARgFEwAAAAAAgBkMkAIAAAAAAIChKJgAAAAAAAAMQ8EEAAAAAABgGAomAAAAAAAAw1AwAQAAAAAAGIaCCQAAAAAAwDAUTAAAAAAAAIahYAIAAAAAADAMBRMAAAAAAIBhKJgAAAAAAAAMQ8EEAAAAwP+zdx5gVxRXHx96EQQVRBQVQey9YkfF3ntXYuzGriTRJJbEltg19ij2rrEX1GDvHWtsoGIDBKRKud/8s+f9vK737p7dnW33/n/Pcx547527U3bqmTNzCCGE+KDChBBCCCGEEEIIIcQHFSaEEEIIIYQQQgghPqgwIYQQQgghhBBCCPFBhQkhhBBCCCGEEEKIDypMCCGEEEIIIYQQQnxQYUIIIYQQQgghhBDigwoTQgghhBBCCCGEEB9UmBBCCCGEEEIIIYT4oMKEEEIIIYQQQgghxAcVJoQQQgghhBBCCCE+qDAhhBBCCCGEEEII8UGFCSGEEEIIIYQQQogPKkwIIYQQQgghhBBCfFBhQgghhBBCCCGEEOKDChNCCCGEEEIIIYQQH1SYEEIIIYQQQgghhPigwoQQQgghhBBCCCHEBxUmhBBCCCGEEEIIIT6oMCGEEEIIIYQQQgjxQYUJIYQQQgghhBBCiA8qTAghhBBCCCGEEEJ8UGFCCCGEEEIIIYQQ4oMKE0IIIYQQQgghhBAfVJgQQgghhBBCCCGE+KDChBBCCCGEEEIIIcQHFSaEEEIIIYQQQgghPqgwIYQQQgghhBBCCPFBhQkhhBBCCCGEEEKIDypMCCGEEEIIIYQQQnxQYUJIeWhlpaeVriwKUjLaWFnbyhlWFmNxEOKMHla6sRgIIYSQdKDChDRafV7DyilWXrKyZ4PkawErl1kZa+U7K5OsfGTlWCtt+dpJQcEiblcr11n51spzVv7IxR0hiZnHynnSrr63MsHK51b+bKUji4cQQghxR6tKpeLyeR2s9DLxFTHYOcdOJBI1RiYCjQbKqL+V9vL3TCtT5P9T5O/qBUerGs+YZWW8lamswv+bOG5mZUsrmxvPAqOFI61cXPL8LWvlCWlXtXjcylZWfmJVIAVgCamP21pZ19RW6K1s5U0WFSGxWMTKCFPfUutlK5sYT7FOCCGEkIS43J0+y8oRVjo7fOYdVvZukMUgFCR/tXK4lbkcPXOilcOs3NxEdRYKpBVlUbaFlbVMfQXdPCXPK3YK7zX1lSVgsNSr37M7IznQzniKkW2lTQ5gkRCS6vh3uwk+1gYry4usDGFxEUIIIclxqTB5x8ptVtYx3i6jC3axMtLKaQ1Q1sOs7OHweTie8YKVB5qgns4tioGtjWdF0lv5uy4lz/duxrNGCuN3xjuGNI1dGskA3JmwpbTHzaR9EkLSB5YjayrC7Ws8Jfq3LDJCCCEkGS4VJjeJABwlWd3KQOPtOg5M8Fzc04CzupNLXM7YfU2qLMExnPuMt7v0mJUfGrxuzm9lP6k/68Ssq+1LXgYbKsPBqmsl4ynQCEkLWLPtLQs23n9FSPYMUoZrJfOue1lkhBBCSDLSujASR0UeF/mblQ2s3GilT4xnQflysJVzS1zOJyf8/V3GUxyNbqK6iWMosDCClQisaXqY5rvgNIo3nLkMIekCC0IcwXlM/kabxH0K6xte5EpIFkRpZxwTCCGEEAdktQB9ynjn3N8w8e6VOMp4Z3JnlrCM17OySoLfX2q8e0+aDRzxWsNXV5cy3jGV401zeAL4OELYj9idkZQZZ+XCGp9DiYL7q85lERGSKv+NEPZTFhchhBCSnCzNqkcZ73LKOCxsZfeSlvHRCX77jZUTWE3/B44k4T4buE0cLH83OrDK0rixetE0l/URKRZQZOPY5FUsCkJSBdam0xXhPjGetxxCCCGEJCTrc+g3KBeAtYDioFXJyndRK9sl+P2dhq6Da/GclXuaIJ+wsvlHSBh4kDqKVYIUgBtYBISkyhdWTgoJgzkWLL7msLgIIYSQ5GStMMFdFHHNRJc3nkeGMoGjNG0S/P4VVtG6DG+SfJ5o5Uwrs+u0J1wozJ1EUgRYDwlJH1hz4VjqjBrfTTLeBfMPs5gIIYQQN+RxiSZMRfvH/C2sTB4pSdniwrUDEj7jM1bRunzQJPmEogRKk+ut7GllSZkoP2/lVisTWBVIQUC9/M54Hq4IIemB+4LukDEBm0mwJnndeFZeY1k8hBBCiDvyUJh8leC3G1lZ1cprJSjbfUy8C26r+ZFVtC7fN1l+oSD6C187KThw/06FCWlWYFE6O6O4cG/VWSxyQgghddb4s1gMbmidQ5xfJ/z90BKUK+5aOdLBc2awitZlOouAkMJBJS9pVqAsuZzFQAghpADr+4es3M6icFegWZPUMmAnK4sVvFw3sbJ0jc9HRXzONFZRQgghpNBgkwReonZhURBCCMmZP8talBa/jshDYTIp4e+xi3Ncwcu1livhcVb2ZZUjhBBCGorzrfyGxUAIISRnNjY8wu+cMipMjExMehS0TJewsnmNz8+x8i6rHCGEENIwnGro2p0QQkj+LGjllpzW9w1NHgVa6wIauMCbE+EZna0cWtAyPcJ45rnVwLrkEpPdZXCEEEIISRdYu3InjxBCSN7gkld4z+zJonBPUTRQF1k5LeJvcKlqp4KVZzcrQ2p8DuuSyaxuhBBCSENwoIzthBBCSN78w8p6LIZ0KIrC5BsrZ1gZGeE3OJJTtDPD+1vp4vsMl9xewqpGCCGENAS7G3rEIYQQUgz2NLXvzySOKNIZp5lWfh/xN8cWKA9IxxE1PociiNYlhBBCSPnZ2sr1hmfECSGE5M+aVv7FYkh/kV8k4DP61Qjh+1vZsSBp38b82t0xLGeuYDUjhBBCSs9GVm630o5FQQghJGcWtXKvlY4sinQp4g7J2RHDDy1Iumvdkg9Xg9NYzQghhJBSg128e0zx7k4jhBDSfOBy18et9GJRpE8RFSZ3W/k4QvjVrayfc5qXt7Kh77OJhmecCSGEkLKDMf5BK3OzKAghhOQMnIw8ZmVxFkU2FFFhAvfCUW+ez9vKpJZ1yWVWJrGKEUIIIaUFE9JHrczHoiCEEJIzLcqSlVgU2dG2oOnChWpwMzy/MvxWVpa18m4OacUkai/fZ9OtXOjg2XkqXGDiNdDKUsa7K6aXNFJQsTLByhgrn1h528rLhgqivMCuJ87UjytBWttYGSAyj5VZxvMkBQ9ZXxc87fCAtYjxPHRVK5vRFr4RIeWijfRr3ar6N7xPHKX8tsT5amVlYStLyjjaQz7D2DRR+u7PrIwuWLq7G89qdBlRVPTytbeWtvapjDu482xsiunpYzyT594le/+LSzkV5cL5HlKG80o9nF1VD8c2eB+D/PaVMQ99zEzJ+4eSf/JLukq/tYjUF4y7M6SejJF6jb5rTgnyMq/U/a5SD2ZJm/zK8Lh+UYD14AfSLqOyaFW7niNroI+sfJGBsmQNvjoqTIx0JBdZ+VuE3xxv8nEzfLD59WU71zlaPGU5IKAzH2RleytbmuhmXlCiPGe8C/Guo/IkdTrIe4IrMXht2MPKv1OMr7Pxjr5tYGUtWWhq/b0j7LaSxs1MfbN2KE1uNN5FyRMKspgebLyLpTdStIkpVt6x8oQssp6VCRIpDksbT8G+mizKoRBuF/A+oRB+08oz8l4/K3DeoIDcwXgXkKNtaiwi0E+/Ivl7wMprOSwmcTfITlY2tbJCjHEH6b/TeF4CxjtMW8v58EUj/AZ929NWXpdJM+rQ9Ko+e4b8H4u/V41bJWsHKceDpJ9eQfqjrEF7Wkf6+rWtrCKL3npgAfm2vMcR0s5+LEj/v6r0/WhPA43eyqh11bg8WBbNtfhE5kyXpbzIKjKtq+aeg6VPbhXyG9SZN4y3UXe/jLWzc85HZ+nDBpmfNxu7BYT/QdrnW9JnPOm4/6oG7bB9zN++WNWHRXmnUDb3s7KAtJvu0jd0k/c3u6oPnyhzvu+sjJJ2MT2lsmgl4z/6yl0kjfMpy76V9Gt7ybuut6n/hbTrS42n3M9TWYL3oHU3/J48n9R6+ZVKJes40Sne4/tsZZmU+id/qHRzKZ8L7SC81HyV8cQAE+iFqj5DJ7CkNHg/3aWTjDIBTnvhiI5tXysn1VkQjpFO/RvJbw8J19fUP9KFzu8s4x2tSmvB2FexeLnQxPNLjvtohoUMdlFAR7xJnToR9V1tKEqSnX2Khx1SUJgsIYuvbWTArV5YfigTgrD07mfl5IiLDpTXcfIO8qCdLDqOl3oWF7Tdh63cZ+WRgiiB0gb9+IohYWr192mCceFAWbz0TfgsKBRulLpZlPcJxc8Jkr8OCZ/1qSzeMNGbmrKiZFcrf7KyXI3vp8uCaJQoGeYWZVdQnzNdxpwzHaS9myze0zR5/sS4OX++ukzg9/Yt6NeThWRWIC+HWdknQEGgncs9Jm0MfedPGeYBip0tZDG1mczZ/HO4iSFj3j4y5i0WId6fpO6emnF+86SL1JffGc8aLgmwUr3WeI4Wsrb0hHLyYJmDJfFUMkeUJjdZuc24tUCBUhoONdZXKKP8RFW8LiL1f1cTrCgNAuPC6Y7XOWvLO9qlRn1DW/08ZLzC706T9Z0WrAf/aeUPDt4nFPjDFfOrJGCzewhVI+VTmIDzrBwT4dn/MNneZ7K7lVt8n90mn5sSKEwGSOe8eo3vbpcO9vWAtG0hC9tV6oTBjhF2578smcIEYLdgOyuHmGiXCkNBhJ3DF4xn5vemlGESxdHqoiTZzdQ3DXelMOkjE+/dQzrmL2RgrMdyMuFdNUFarpQJVZY7RwNl4rVUjYHvP8bb0fpSBr+uEm5TxcJnjiwAn5V2gTrxsYlnBkqFib6POE3aTps6YT6XRfmP8j4XlH4xDITHpd5QDI/PqayxKD3DygE1JsGwHHnIeBYS6IemyOR1VVnQhbVLKMoPN+lYrfWTidm6Nb57Scb9++tMMHvJxPUwUaDU4n2ZZ3yUQJnzlNFb0MVlSoIFRT+p13sHTOC3kjqQNv2kHu4asBj7VMaMiTK2LijpbhPy7C+lPlxu0jvCMJfMU1CvNglZ9C5k6h+jwZh3TZ35lBbs5m8rCoBGpY3Mq6Ac8lvsQNGJ+4JgZfSuzH87yqIdc5INFW3qFFGcpD1vWF/myAPrfF+RMX6M5KObzK80SlK8/4slHy6P1UFRgM2DEyIod5DPZ2LEBYsWWEJsLPPTKAt9nC74s4N6Nkji3tEEH6sMUgphPnC1SeZc5G3pj+OuhaAsedLU3lygwiQroDDJWLav/JqV6oRdxMrMip6JVubOMC8v1EjDygHhu1ei0T3FtG9u5ccacf5kZfcIz2lt5eSAPHxuZdEU0t9XUX4XOIrrL4q4XrZygJV5HcW5pJVTrfxXWVe2TxjfYCv3W5mtjG9CnedACXuklekVN1ydYXseWif/w6wsqGhPH0bM2ywrn1h5xsqdEk+L3G1luJWrUu4HXMubinyvlHIa2lo5MaAO3id9XL2xAm14LytPKfIy1spBUu+zLOdtrXxXIz2vWNnFSoeA3yKtQ6xMVeTvPCttHKZ7Y+k7/GAs2i3iuPOHgHR/b2XpmGmcT9pm2kyImK7uUteeVT5/j5TrYDsrp4S0s52sdK3z+7msbC193ZyQvGAesbPj9C9n5co686B6DKjzrEMcjnlvWelWoj4/iixh5aUaeR5t5bCAutIiW0ifG8ZjKZZhDys31Il3jozl20v9rvf7va08p8jH11b2TSEPa1qZrKyPmzmKc/cIbeSCBH3S5jJv+i5Cm1uzzvP2jNg/BPGxlZ4x8oR69GIlG4Y1aL/jRIquMIHcGPGFn5BRPtaoEffjiglPERQm24pipBZxJyXnBuTjNSudSqwwWSkgDixQNnIUDxblx0l5RSWuwmStmJ3x7BrPmsfKPSl04oek3JaxgPxnnbiPiziw3ZdC/lehwkQtfaw8XyfeV0MU2vUUYZ8o8vSgTITTLl8oL86oEf84mVhHUdwMVm5I3OBIIYR+ckadRcbGMZ95UsgiO+4GSiepS6gvm4ry4QRle91fxqcwWVjZN+E93VGn7IIYkmI9XEw2CeptHkRtZ6vIWBrG7Q42JZZL0E+vVKPPvzWFPv+uBlxw7FxjkY4F9J+stI/wnOWt/KAow5dS2EBd28qXdeJ72sqyEZ+3lfRTYdyfwvhyTEabcdVygDLOqyI+d1UZp8bHbG/+OTzq4xUptOsnRNkfp+w6y7ixhtQbjDP/VsQ5VfotjSxCxUi5FSYrRKyQX0XsfOPKTTXi3qIECpPVAnYWX03w3E6iDa/HKSVWmJxT49kY+A9N0PlVCzq+/yh22VwPav1EWRJ3N7WDb8diVI0w31i5RRY2R8vOPya9kyLEM8VK7xTb8gV14r0pxrPQ97zueJDdrEKFibZvq9cHXSm7T3GeC0XgQ4p8fRFjwhy1bt1aRyEdd6LzR2UdTNp/Y2d5Yp1n35ZQgRSk0LrcYflrx28X9RsLvSOsvJ+g30hLYbJOxbPgqbfQaZ+gfv9Lka9PE7SzlSOOPX4G+cbPt+uMVw9UPMvbg2Xcu1T6hyjsXGmcxcaJNfI3JmBnP846op6iwZX1324BG41JLPGgAByuyMvnjsfObhWdRbFLhUlrZTuIaumAvm50RW8hHZTHBSq1rX+myTzgFGnXsKS+RPqjKBzgsDyPVsT3DpUdzaMwgTxcoJ0VyEI1duZGKjrmvBUm3essals4JwXFQrWWc/4SKkwG1eiEsSgc4DAvA6XjO1Tq7kHSEX+TgYUJBGawO8guZhTlyTzy+4Nq7H4+KjujrQPq4rkR4rospbZ8YJ34ZiRQ0ixTiXaUMIy9qDBRmRhPDJh8JZ00t1fuSk9IsAgIUwzcW2cXNYnpOZRIHyvyNVt28eKmPch6YL+EZXNKwLNnOdw1047fvRzEBauWP1s5XMaE/WVRNjrnedBGARsu/3LQzloplSYTE7SztjJ+QyHxz0rtI2L12Krys3XW+BoL2gMr9Y9itJWFltbE/0NHGzJ5y1k18gYrjcUTPvfhDNvBbwMW4+c7UoY/rKz3Ax2+G80x4u0d14frUlCYVI9ny8dQNu8jv1+9hkIHfwcdF0Mb3TeCdYvLTX2NwuQhKjuaS2GyUcQFxshKumfKz6wR528dTrjSUphcGhLfkQmfv13I848vmcKkluknzqd2zqitYOfhvQwUJv7jR6OUcQ6QHdxqPqt4xxi08e0TwcrE9ZnkpSr1z9TemvDZFyvztU0l3HS/CxUmgbJswKIHO8AdHcXToVL7/H2tSe2KjvM4rEY8aGs9M5p0gSdjPv/glPuurUOef3rGCpO2KbavuSq6uw/SUJgMDFCWvOWwnbVR5hFjwloO4sNGzsvKMt214h3TrF48YwwZGmERtHKActfPFpVyLzJOqvPeVnDw7HWUZTg6YZvcPkBZ8nzF3R1PncUaIAy0wdUcxfl0DgqT01JUmPjH64eUdQRj1N5iRVK9aYbjYtrrBHDv4PfK+PbMUGFyHZUdbqR1Se6mfVI8j2hZ1sqWKaUFN7wf5PvsW+O5miwyC9dIt5+k7tjCvNbsXqL7kNcXjybVbgXPkZv0p2aUBnjf+EsOXk4OVIaFy8eDq/6+UW4bfyRCfDcYz7uVpt3t4DCf8OZwlanvhvXBhM/HLe/TFeGWE08tQTLZkKDb4x809V2AH6Z8Dxrg3nYnE+xWFMwtnh56O4oXLgn3830Gr0t7OfKmAU9vGi9eG8a8pf8ERdtOc9zZKuM6OSvFZ8MLyO9zmj/AY1KnOt8f5LCdwbvJPgqvOJ1lDOqXML7vrOyrDPt3mQe0zJ3hyWVV+VzrDviNCJ4oyjRn8rOnjIN+jhavIUl5zsqHyrq7acw4lpF5Tes69XR/h954psr8Mqzed5Ixr6+jOWbWTMgoHozXRynDHiNz0RbPQahXa0r91Xrnwm92U4bdLcPyrhjihNYlSuvfI4ZPa1KBgXVe32eXSOMsMnCRG+bCL2nHPynk+5UDFjZFAp3Z47LwaVmcHC4T/6w7nwcl/ixB3jXur5eqmsTvK5PcH2PEd5py4beZwzzCzdy6Ad+/mPD5UKIOU4TbypC4tJJJzqJ1vh9uPKWnS740OlflcH8L1+xtE8Y32MrpNT6Hy+3nHeUJdfVRZdioSku4kuwfEmaBhOkfpUjDPA1U759T9s+uwLzhFqnTtYAL6Jccxwk3xGcpwsG19p2mvuJbC1xvv6UIV93X3G08l7LvxojvHuNtBIaxaUnrKDZOrq5Td692GI92o3LbGM/G4vkO47mdrsVNUm9cguedqgg3v7TJtiWsG1nOZ/9r6rsLrmZJX38Gd8hvxojvSemPwtiopO+OCpOScJeVTyKEX894GkLXE3T/ZBnax8tLUH5LK8IslDCOCYr6tmLBywlKkVuttJO/p8pge2lO6UH9+izjODGgfagMO8bKarJwjQssKP6lCLeGwzz+KeC7KRH7mnpcpgizlpX5OBTF4lATrES7IqV4r1MuEKGQOz5BPFgMXl9jnIZy/jTHedIuPJaI+FxNm507YdrRf4TtlC7TQPUeSvuRGcZ3rJV1Ar5Pa2yE5eGXinArO2oPr0QIe6aVnU0y67+LFGGgTFywZPWzgygTOtUZd11uOt2gfN7KMZ79l5B+458pld95yvnXwJB5DPF4IUJYbH5jU2BSgvguVoTpEmMsJTlTJoUJFnHnxlj8umRz80tNJBhmZWwJyq+9IswiGaSjX0HLp410ltWWTDiiBMXbgzmn7bsc4tSa+sPs1sUuy72KMIuZn00mk7C2lZUCvv/UuNkFgdnxG4o+eDNDotJbFi31wPGAh1JcsB6rDHtygj7vAlP7WA8WI187zhPa3zhFuIkRn6tZ7M3lIP1hY/AyDVb/v88ongWlDgeV+2MpxY3NgtOVYY8z8Y6LVfO5Mtz5Vk50sPB/1OiOMS1Zsrp5Up138bqVEY7jGmV01nFR39WAkPXDR1ZeTqn8Zkr90oDjmv0NCUJrAYaNkCNMckv7Z5Vj6ZJ8NeWidcnSOyziRGFH6fhccUyNTviCkpTdx4owUzJIRxEVJjgLDQumw6s+e894GvzXC5C+H3KIU6MwQBk95Si+10z42X9YePV0EFfYefUvHJbj3YowgzgUReYME2yZMMLozx7HAcdhnlCE6yhpjQpMdveq893VKeQHZXWmItzDEZ+rue9pnIP0hylylmqw+v9jRvH81QQrtIabdE3srzHhR64ANjz+kXIdauHvjvIGZYnmGNBCJaqXiwYoGq5JKc6TTbhC5PEY40vbkHqfJvco6waseU43JAjthqOrtRz6w1carF0TUz6FCSZ1F0UIjwXW8Y7ihsZ8E99nuHDso5KUncZK4qkM0lE0hQkW4Dh3uF3VZ/8xnhXCqIKkcWZObU2zaHSZx08V4VwcX9km5HuXCiqNlcOahkRhcePdl+NyYR+Hc5ThdjXRLBwwbtWzpsTxvBdTyg/G1qA7Xx4w0a3tNBdAP+Mg7WHHQedns4lMH0U7S3vh+FOEhQwsgFdNEJfmeA2OCH3jMH+ajayeJaozOBrVMUAJkAaw9LgwpIyjWKejr945JMwTKZcjFEDnpTS+NBsaKy4cc33HYZyaI90ck0pG6xKmGedlo1hCYDe5l4N4j0owYS4CI0MGleGiKMhCQVEUBsiiv3rBer1MvCY2ed+gucR4nOM4NccMkipM+prwYwIuvVxglyhsN5immdH74rALrJ/OIB2PKSdGUIAcGeG58MRT78jYfSa9i6ehtMTxMJzBnuqbcF4sE/OoYBJ6fsD32Pl9zkHawyxZ5mGziQwsLtuFhHkmg3RcbfQWNUennBbXY95XijDdSlJfcKS7nlUc7nwak2Lc2BjFMZbxvv4M99HB42GUTRCNZ5UsxhekXXPcH+PLoeyuEoF6Mzvjdj03i71ctC5pxY5iktwx4mS13iJ/b99nMLl6tmRlh3P3fzS/3EnB4vBa4x1fqmRQn7pmmN+gRRUu24SyZPGqz7A7MsTo3QM2O9MdP29MBvVnQMZlhEE4zCV6B1OuXcQ8wfG5sF3vKcbtblE9YHqrvSwVC4kuyrDHBXz3SMp5mirjJS6cXUFkPvks7hGn42RBM95XdreZ8J1cV1BhEn0s3zskDBahH2eQFsxXblGGhbKxe4nK+duCzZmScETAnCvte+AwzuJIITZHl5F+C94s9zDR7nvqZOorfVoYbdwrzmqBeejNyrD7GDf3uzUrruf8mjrXncVevkGxjJxnomkDD4swWa3FwTU6o3NKWG6YpMJVH0zBcD/HerJQ298ku+29BY3GtEuG+a030cAt2E/IogBgJ+I3RncWlvxyoe+SLC631Vww6dpU8l1H6SLGbG3Cd1xfMm53i4K4TRkO/d7minCrSt9cb1GQlZIeypF3RKYmfBb6VJjE4wJbeM1ZVxY2uxt3lnxd2b6cgl35PiFhXsswPddGWPBuWaJy1ox5bUqQjzYmWJH9YkbpwAbg+9JvxZnTbqvoK7Ks91qFCcbEjdltFYZvWQSNR1kVJtDw3hohPDR5B8WMC95lDvd9hrst7i7xe58miwpMvidkHHfeZmi/M56f9BaXd5NkgjWM3UFkOjl+nsbsOguFW2/Hz/uYVcUZ2yrCZHlRMybnnzhMe9Cu/gfGjWI7L7CLB8tMHMFx6VkORwHWZtNwyu6KMG9kmB7MV7SXcW9VonKe3CD1ZbAJPvr+WknyoTl2+GaG6XklwuJ7S0OKwlQWQePRusRpj3pTOc62to05cVjA9xkuIZvF6vP/wNwZHoSGFziNOOcJq6CLq+r9lzLRfpyvsBBo7iZqmzAOzQR1gNQXV2jMM8fy9avQuGDOenKu7ffWU4TZKeC7d/j6fwF2gg+XRQXN0d0vgMN4O8P0wEpJu0m1QYnKeVKD1JcgJRUucx9fgjy0VY4vWfbDsArXXmC+foznzzAkDTSWkx1YTOWizAoTDNaPRQi/sNHtmvg5ukZDuJpV53+sbDxXcbjgCMekFi9oOtExwSLJfzcALBre52ssDNMziOMz5ULMpTenMLNrTJon8/WHAkVWD0W4rBUm2ktL+5rgu2qWkXEqaOFBvHLEhgksDi4x9DbgGri77K8I91bG6RoeIf29S1LWmnuBupQgH5s2QL+1otEd3ctaca29YHaZGHVlmiFpoNn868RiKhetS57+qFYmQ020neMNRClQzZVNvriBFh67oLgdH6bvvyl4wx9kPLdztUwtl7ayH7uBpuIzZftdz2GcYUeNXuNrUbGaIgyUT1kfgYpyPj/II9K6Ib/9qonfPcbtDY3nmhRHoE4wnmUjlKy3GyqTXKLp+3Dv1wcZp+spo7+baOmSlLVmwdq24HmYN6Rf+7ok72Jt5fvKuq/RKuSxnluiBOVcFq9PSZjJYaTxKLvC5ImIi43lje7ivRaOqdEILmrSuoLJ6VCZrN5ZNbmH0uRU413GuGjB0ryb8VwlrxAQ5iJDt65FIQvz0DnKCchgh3GG9bPP8tWr0EwGca9C1hc3Q0GjPVK1SMB3q4T8dlITvnPs+B5iZaSVJ61sL5/DunSI8e5NQD//BZuHM1ZShHk/h0UBFN3vKcP242vMjLB+a0ID1ft3ZQ6RJf81+k3aviUo51ZsMqSMtG6APES1MjkhwoDrv6QPHhG+bLI6spSVyyTfZ8uEHzsGcMELBQm8OpxiPLdxoxXPy9KVluZcO0wY7zblMHvNkik5xJmVeegDijDbGHdnTMNcBv+b1c3ZIiivuyy0ZtpBx0fCdsWbybIRY8u5Mu5g/IG5+fdWTpdFAe4auM40pxIpbTSu1z/LKW3aDbIF+BoznSMGMack+VhEEQabOlm7ecYGwLvKsL1ZHQlJh0ZQmNxlopnIwax3dUW4I82vNaHnNFHd2Mh4ShDsJGGHr7PxdvF+I5NZuOAd3SB5xWT8GnYHv6CRTQqh+Ay7tBnenPbMYCL2usnWq0uZmU+50M6DkcpwXRKkvRmUujh2dYvxLBmPNZ6CHUeRjpby+ZOJZ03C8+J6FlKEyctNs/bOsa58jZnRt0HWGZqxYx2ju9/HNR8pw6XRLtl3EmIaQ2GCM63nRvzNUMVi6be+z+BJ5a0mqA+7ywIOx51a3JRhZxPHk3Cp67ASLaZhvoubwzXm8rvIBJ00Pt/LoiyM4xz1kcsGfHc2X4cazdlnHNFon0PaRinDBd1H0MNB/ss67uBIJ+6oeEXGoDbGc834F+NZPFxoklmgZeWRYE4DvA/Nxcrz5pQ2rQvvuUpS1j82QH3pFfL9PCXJR5Evj9ZadHVOIW56c2nOdk1qTFQagWtNNLecuLQ0SEt8gPn1bt65DVwPMIkfYrxL3LCQrL7o9n7jWWDAlfJPJcsXJle4nHYv5UQWx7vWZ7fQFMC0P8zKBIqO3ziIa1Cdz1+ycgdfhZo2ijCwCuyTQ9pcWNuFLfIa7ZgBFFsHGU+xfb+v7x1hZTkrfzXl8uTQCBNlzSWjedXFMcpws1KK3/UcaHYD1JcwRe5ChiTlGxZBqsxkuyZhNIrCBBOqKJexYlJ9XMCk/AjfZzC3frQB3z/KAbt5MPeD0mmAb8IBq5LtTHkv1Bsv/z4mE2/NggweFxZk19DwfGg8JWAYZyesD6vJwq9WnwVlTIWvwvliZeEc0vZdBnEs1UDvEuMOLsu9wvzy0m0otv9svCOhn7HKFxbclZCHJdfYnPM9la/+V8wd8v2ABstvHvX+B1azVJnCIiBhtG6gvFwasdJjsVLrMkbcwt/X99l5DbiwWcx4Xgdukf/7FQ0byoKyUfKNS2ofU4SDeekdOQ2Kzc70jOPDwizsMjXcm3GDlXYx4zi1zufYWX+frzwSWi9Ki+WQNq0niCQWCCs1wDvEQvthGXf8ii0oEXHZ8t8MFYl5olFMYrNlkRzSph0jqNjIjjALMFj89ShBPrRWBnnUe63CpAwLf1pfkFLSSAqTcSbaxZ3wpnBkjc/9roThEeamBnvvcK2Me0oG1fhurHzeaK5OsXOJozkaL0drm+a64LcoTM8hvm1M+K4ldruvNNHd4e1vfr4HqBpYt93I1x0ZrRVHHi5FJyrDBZlWhylTcIfU/CV+fwNl3Nm8xnfwdrOVlYdiPjsL16Uzm6SdjVOGy8PiSatwHM/uMjM0iux1SpAP7XGvIitMylDveb8HKSWtGyw/uGckivbyMPPLu0oG1ujYLzHlu7sjCCgN4P2mlntf5BOulN9p0PqOhfGuyonvEVJWpLGB2f8gE37sbIjxlBzaG+NxT9LlNdoXLNvOY7HH4itluCULnIdvY37XwuYlfXdQOsKisdbdF3OkX/5PwfPQLGbb2iO4K+aQtk6O+wqSHM0ifdMS5EOrMMlDUahdg3zJ6thUzGERZEejKUzgqeC2COFx0/vvqv4+scYE6fIGKh8MWtcHvHe4bHyhwes88jdUGRZWBSuwm2h4cCwHrsYfDgkHN8NvWNkiIAxMj3GfEo51VR/jwcWWUMgOY3HH5oMCL+S0R/iC3ENqLo7dsYTvDe/j3wGLXdwTlPSOsHZsHs74UBkujyNiWo8dn/I1ZobG8m+HEqw3PlaGW77Aa7VPWB2bikksguI1wjLx94jhj5WJHDzDbOP7DhehNoppJ8wIbw9455jIn99gdaGeqSjuZrlL8Xu4aLvHlMctHokPdvdxfAZ3GL0cEA7WCw9Je4GlyIHGs0Q6RtoXlLawTmo5voNdqyNl0fgGizkRbyvDLWHCLyJ0TRdFGJgij064UEUd7Vmid9ZF+tqudb5H+/irg3jmYvNwhrafWjuHtGnqPu6/eS+l+NuwesRapOPuoqJbmWg3C6EwaZtx2jTjGe7tKcNF2T+xyZAy0ogKk7eM7nLP6gH4YCtn+j6f02AKhH+aYPdv/zDpueLLi6DLyHA0QrOjgPsQbm7CiVKzXnp7r/EsQe4MCYeb/6EkgRUSjupAebKL8ZRsuBsFO+qwSMEFpBc3YNvKAyhMNMcioKzaIOO0zacI87Iif2G0k/GqLMB9d/+QcWkaq3aheF4ZDt7Dsj6eoFGY/Nekd09CV1aPX6G1SDq84Pl4URkOytmsras0m3ZvmnJcqMoLmUkpadug+cLiP4o2G54s/Brcu03jmHUOsrJ1iGLh1iar+5hQ7SiLmI4hYXFvALzsnNRE5dO5ifvFhcwvj2LBUulZWdBOkgkTFEotCkgs4mGJBuuSt2TiMtMQ18yS97CZIuxgK/dnmLY+ijAjQr5/SRkXjpHCSm5yTu+hjXJivrhikXQbq3XhwMXEI01td+h+Njb6o3Iu6OegnRWtTys7sEiCVU/YpehbS50amVM6W5lg71uY7+P+Ho1b+vWtvJph2hdosHpfNLqxCEgYeViYZKGhf9x4t/FrqWXudm4DveejQ75/KsfJd57gcttDlWFxv80O7DIaHizyYJqLYx1QquFenwVlAY7je6dYOcHKUca7CHaILArhovhqK68YKkvS5EFluMEZp2tRRZjhId9DIafxtgPX50fmVP5HRpg3wBtUm5AFCs/cF5N/K8NlfafOAEWYR0pUzo2waYlx8l1l2NNzSiM8cPVXhLtF+bxtMk5//waq90W8PLuV4+fxTq0GJA+FSZeM4vl7gt8+Z/TmeUUHF9tuGRLm/Qat3xoriWHGu6tGAy7MXYbdRsMCJckI41kLoA9YSiZ4dFFZHHAfRkURDu00S/ePYRcB4mx52JEcWG08qYzvj8azhMqSPYxnualRCGKc3y8kzEcO08Y7TNxyszLcIJOtq+uwdjbZlEth0igMV4aDF8asldm4PwxH/zTKWa3F27om27vtlg75fozMWaKisRR0vWZrhg0ljkcNSFEUJmmY/99l4l+A1EjWJXDnGKbt/LZB67f2Hg5YCIxU1l1cAju3IWmQZ7kuKRMOLELvl3Yzhq+kcIyJMDnfJeNJeRDYudQoerQWNF1kEZAV61m5zuguywbY0Q1zATvWYfq4o+cWbKI8o5xD7prhfHU1xYKXd+Jkz4MRwl5m9O6hk9JbxvOnlf0vLNPfUYSDZdBuGZbvKiHf32DiuZjVeFlxrTDpwOZCykgeCpO5M2iQAGdD4yg+cGHYvQ30jtdRhGn2i8ymyeJKYyoIKwRc8tnKkEbojwCO4TxhPJfAMC3e3fAm9yJziTLcPhmlB+fLg0ymsYt3hfJZ9xj9vQbbWdk/g/wNkHShTWgVJutlPO5ktaMX9m4a6Sz8Bcpwh2U0Hi6vqDMXs3vMhRFGv/G2eIS6lQSsK6DIwZ0kN0f43YXKcEMyKtt+JvgOE4wvl8V89gRl/+96vtXoFMlpAtcqJV6g1DLfTMu0+Bor42JMEuY00PtZUhFmGTbM/11cd6AyLM6v/iXDtNGV4c+43knuI5O9lj4IF2ryFvdig0mw5hghrD7WyCA9G4Z8j13v0cpnjTfRdmthZbJainnDfSkPG88LEMbTScrfragI43Li3COjuqdRqjfKDiruMdG4511a0QZcsLGiX3iLC6tcwKL9+gjhDzLpKntxkf99VlY23iZoFM+ZsNb4QhFuTSurZ1C2YQ4sbjLehfNx0KyPXCs4NB7syq54zsppwrQmKMvCkIfCpNYN1H1TrEwXRew8hhXo/bg4otBbEWZ9RwP3gJK3B5jNa3eCTzbBnodcQleGP+NyJxmLLFwQ3aIsgZvpESziwgOFttZj1bEZpGe7kIXEXyM+79KIC4OHTPjdDnHAHTC4EBzWM3CVHeVeMI2bZSjqXdwDgEVR94zqnkaZ2q+B2tmJyrBZeJAL8o6F4xZ/Svj8PI51aRZWZVHAXWKiubW9ynjWnK5pOTrdosT7m4m2CQpLOu2G2AkZlOu2Ad/hPpBTEzxbcywSSiFXR6igfNlYEa6jaXxc5FFzSXxvQ5yQh8KklmnZUinGd6nR7xhfZtLdXZ43h/LWWCdgcuviPKbGc0PRrVDgUehNZT5wNGdJQ1yhqRuuju/hDPKdvvf3MV9BacDu99OKcDhql6YiFwq8IMXp5Sa621Xshr4UIXxP410Wu57DfOFZL1a1j/OtfOl48Yn2vpeDtGoWN64uaNQsMJbIoP5ntYjG8eTHFeFw59OglOdOGwV8f6Vy3A5ry0WksykHo+U9RFl/wDrCpVIb3sqg5N1c/n5T5mlRgbWMxm3wTkbnfjsusMjfJOB7XDvwaYLna45RQVmymaO1yGXKdWfZF/kdlOWaFI2F0HIme29ciG9f41l5wUoRd0TeboKVf4UnD4VJnxqfpakwwQTnGkW4GUZ/Nj4uPSOGd2Fh8qMy3F8TLkaxaDhMmadOBW4T2End2ehMz2Hq9oBJXxGWh4VJHu4ONaaDrhQm2JXxm4auanihb1nGFOwoHyT9dlh6/pFiOvYJWGhh7Dk55nOHRgzfQ5QmcG+dxFoQ7ets41latUxaMSH/W8TnfKMMB6uAJNYhOEa5vXLccbEg1ihVN8ig/mv6QVcKgEONzvT77BTb//YBYxIugv6Dgzjy2NDSKEPKZFKPcXVChPCtZdH/QMJFMp6DIz5wzd5yQeoc6R/iHLFv+e0sRbxnp1ieewXU+09NdOtFP9qjPEnbF5Ql2DzQekjCmtCVlUke1iqdMmrXnyj7mBUzzHtf4ykbcUk8ri/Akc1ljbd5BQX8Q6akx4SyVpjMV0dpsJRJ9ywnOuQwU0GcW/w2g4oUhQUcxKl1GbyodGhxLECGWLk7wm+XdZAvzcI27uIandBvlWEXl06gc8rtJgzXJukaJY1rxVePjPK5eJ0FKfqmF6Q+8xhUeu3S1WD5oVKxgCMzW6U0fgZZ1R1iot+h1QKsZ66J+BtMrE8znpcH7O60i/jejjeeq9+hVXOD2fKsqJaX2rskcEfK9SbePU37y5ilxcV9A5rxdPeI85k41i+azRdXYxKURJqjB7gv6KCU+pVDAr47KOIiPck46xrNmFemxQXm0EfH+B36Z9w1cmbEeS/6vB1lgfYv3/hzstFZidTjTelPw9jSpHM8G3k7os53UOjsZ5JbxH9uvHuzwljTxL/kFkc6ocw/QP7WeCKChcamjsqxSw7tQKOkcTGXxbvTWD3uGfG5iyUoa7h1D1LQbGHlVlPCOy+zVpjUM6lsb9K9nA+dwu0hYc7LIP9RtXwuLmN9JkJYaLNvNvpddmgOYRp/rUzOv1b+zsXxn/lTXtDjuIb2/pt1pQNIS+mn2XlxvTvWRxHGtVm45uiEC9P6A039XZtlpD5jhxy7XqfKZB0DDrTl2D1eyXj3FPQwzXHWNsp4oqmrLhcAFyn6dnB1CguifaQPrAWsFe9K+PyjjKcUigqOhGB35yvj3cm0u7Stjr53sLLU7btkofOPGu/v98Zztx2VRyOERbt6UNmntyhZhskCqbXRuyfe08E71xyVQhkepnze3jEXmJqy6umwrv9T2c7OMm42evzzxnrKrnNMtEuSkypMXG+MLO4oXUUCfU+cYzCwiIIlw5fyTo+U997Nt1ZAmcEKGMrS0dJ/rex7FsbuMxzkBc/QHEm71Li3Tt0tYOEKy7xnHcQxRxa4GnCcZuMIz+4h7RNK5vXlsxekPWuUNBcYN0dz+uTQrrOcs7+sCHOAMk1oXzAweDvmXBvH6zTXFODIXPmO51QqlSzlsUp9rk057pUC4n4go/y/XInGfQ7i7GplSsR4P7dymPzW/7z5rOxt5V4rc6p+c6eVeaw8q3j+dCtr+Z7b2sq2Vm6z0k6Rr0MV8bydsOzaR3xn98lvXNaZhZVxX+owTuRhsiLORxzn9StFnC86iOeJiltmWZkg7WaklRekT7neyrlWTrJygJXNrSylrN9llKWU5XWU43g7W3leEe/jVto6irOnlW/qxPOYw3e8pJXvHdbViRHCXpEg3W2lPUQBbehvVlaT8aD6eZ2sbGblcl/fNMLKAlaeU7bTwb7ntrKyqTxX+941TLWyTsBz5rZyjZXZVhaP0T/PVKThzhTa2cvKdtbGUZyoR6/Xiechh/FAXlXkbazjMr1bEecMh/1WVtJZ2SajoJ3HviTxu8oL5rUfKuK90WGc3QPGl1uk33IV17oR3sFM6aO7BjxvFSv/lD6wmieq3ssIZXzjrAy1Mn+C/P1bEc9sx23sEmX+ujqI6yRlXE9b6RLwnOWsvCFhfx8zLR9GqEt3lG2Om2Vkuyoq7Oo5KWw2zCD/q8dciC3hIO7TEiwE35XODYqQr+sMYgdUxXVAhGffb+UCK7db+U4+P0+Zp3sVcUyTiXaSsutXo+MP65Tmc1hv9lXG+67DODdXxvmFwzgHKeOEsm2uhHE9VMkXTDrek0XaliWcDNeTPyrzf08KcXeTiXIYVzuYbOJ9PRowWe/mOG9rRlR0uOAmB4vRAxLED+XJB7JYHmXlpxrjx1+r2s7eEdoelPKnWLnSymfy+b8i5OstZVzTZOLZveq3UO4cVzWWXh6jXDdRxv9dDcWTC0XhO4q4z3EU36kBinPXi+KflOXa21Gc80ZQAqxTwvEA+Xsl434rjf4X0sfKp4r4T3IQF8anu+o8/8kUNuUgD8ZQvN8hY/7B8u+1AUpy/2biiIjxYX34jPSdUcZvKAgmKeNYwaGSd4wyzi0dxLdqhHLEvHOrqneBslxexqGW/u+FmHPSthHf6UgqTGrLVspFJyrZsimmY3CNOF/NIP/Qjr4fcwB4VSYpSeKfK0H8QbwuO6D+uMbHfN54GWTD8rO0TJg17Ofg/V0aMR8YWNd2EG+7CJNzV51vK1H6aFnfUZz/iRDn7xLG99tKsUC/d0jJFSfo47SWEBiYl0ohDditeVgR/78q8S1A2okyoRbDxXIgjfJdsaKzwHLBBY527luJtYFroLxfufJrq4vRCTYGlouQrzNiPH90jUn0JzEWd60q0Szk9kyhLvZULoT/nlA5uV+d545IYVH85whlOtRRnGdGVGCWcVzoVnFv0VmPRxzt2AcpTd5TpOOUBPUev7uwznMfdKwkrJZFKp71VBoMqzGejIjxHCho+kfM1x8iPN+VkveICHE+6CC+1pXo1pzT5Tf+tRrGqYVipqM9FSbJBJqrGyIW4mSp5GlNPN/MYELRIh0qnoXAlwk7nK9Fi9slQVqgZPjB4Q75WZK/WnGdHuOZs0WxFpaPXhXPmkILTPpWSfge14uZn/N8u4tRO5/rI8aJBeumCfN6SsQ4P5LBNsmi6u8xdp+XTTjApLGQSwqUo/1KOCleTLnrXM0H0ie5TksbWdDOCYn/OUl3lGcvIEqRWlyc0s5ftfSOqMyMCiZRBzhO84IxJnP1wHN2C1iMHBLzuX+ImKf+Fd2RmLC+epkY/dYFEeOBBcMuKdRFLNxuUcR/fyW6OX3rAAUGFl8dHedlk4reugT8WElulbyDzBGisGtJlSZtZTE6J8W+66yK2+NZQUdlHlCkB4r7hSM+G2ue2+o876IM8rdBJZo1tUZRfEKduLQKk0myYRlnroBNyxkR0os+YEcHfcmMiOV0kIN3d7yD94V16uIJ0/FRhPhub3aFCTqTnaSCf5zw5U2RjukoxxPrg33aNJe7uq0krQfKZOIHx4MCTHzvEw1mnB1aKLC+S5iGZxS7cd0ixoOOam/FJPXYSrzz/LNE+bB+JbqJcntRqsUd7FEHTo6gVFhU6uiHCd7RozIh6xAhn+gob40ZHwa1v8SYGC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</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="insertLogoPreface">
<xsl:choose>
<xsl:when test="$layoutVersion = '2022'">
<xsl:variable name="Image-Logo-Preface-OGC">
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</xsl:text>
</xsl:variable>
<fo:block text-align="right" margin-right="-1mm" margin-top="-1mm" margin-bottom="1mm">
<fo:external-graphic src="{concat('data:image/png;base64,', normalize-space($Image-Logo-Preface-OGC))}" width="29mm" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Logo"/>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="addLetterSpacing">
<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="$char"/>
</fo:inline>
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="substring($text, 2)"/>
<xsl:with-param name="letter-spacing" select="$letter-spacing"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<xsl:template name="insertSectionNumInCircle">
<xsl:param name="font-size" select="'20em'"/>
<xsl:variable name="sectionNum_">
<xsl:call-template name="getSection"/>
</xsl:variable>
<xsl:variable name="sectionNum">
<xsl:choose>
<xsl:when test="normalize-space($sectionNum_) = '' and local-name() = 'annex'">
<xsl:number format="A" count="ogc:annex[not(@continue = 'true')]" level="any" lang="en"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$sectionNum_"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<!-- orange circle 14mm -->
<fo:block>
<fo:instream-foreign-object content-height="14mm" content-width="14mm" fox:alt-text="Circle">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" style="shape-rendering:geometricPrecision; text-rendering:geometricPrecision; image-rendering:optimizeQuality; fill-rule:evenodd; clip-rule:evenodd" viewBox="0 0 500 500">
<g id="UrTavla">
<circle style="fill:{$color_design};" cx="250" cy="250" r="250">
</circle>
<text x="50%" y="67%" text-anchor="middle" style="fill:white" dy="20em" font-size="{$font-size}" font-family="Lato" letter-spacing="25"><xsl:value-of select="translate($sectionNum,'.','')"/></text>
</g>
</svg>
</fo:instream-foreign-object>
</fo:block>
</xsl:template>
<xsl:template name="insertBackgroundColor">
<xsl:param name="opacity">1</xsl:param>
<!-- background color -->
<fo:block-container absolute-position="fixed" left="0" top="0" font-size="0">
<fo:block>
<fo:instream-foreign-object content-height="{$pageHeight}mm" fox:alt-text="Background color">
<svg xmlns="http://www.w3.org/2000/svg" version="1.0" width="{$pageWidth}mm" height="{$pageHeight}mm">
<rect width="{$pageWidth}mm" height="{$pageHeight}mm" style="fill:{$color-background-page};stroke-width:0;fill-opacity:{$opacity}"/>
</svg>
</fo:instream-foreign-object>
</fo:block>
</fo:block-container>
</xsl:template>
<xsl:template name="insertCrossingLines">
<fo:block-container absolute-position="fixed" width="{$pageWidth}mm" height="{$pageHeight}mm" font-size="0">
<fo:block>
<fo:instream-foreign-object content-height="{$pageHeight}mm" content-width="{$pageWidth}mm" fox:alt-text="Crossing lines">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 2159 2794" width="{$pageWidth}mm" height="{$pageHeight}mm">
<line x1="0" y1="300" x2="2159" y2="675" stroke="{$color_design}"/>
<line x1="1215" y1="0" x2="2159" y2="1380" stroke="{$color_design}"/>
<line x1="0" y1="1850" x2="2159" y2="2390" stroke="{$color_design}"/>
<line x1="0" y1="2280" x2="2159" y2="1155" stroke="{$color_design}"/>
<circle style="fill:{$color_design};" cx="1610" cy="580" r="15"/>
<circle style="fill:{$color_design};" cx="2045" cy="1215" r="15"/>
<circle style="fill:{$color_design};" cx="562" cy="1990" r="15"/>
</svg>
</fo:instream-foreign-object>
</fo:block>
</fo:block-container>
</xsl:template>
<xsl:template name="insertSectionTitleBig">
<xsl:param name="title"/>
<fo:block font-size="33pt" margin-bottom="6pt">
<xsl:apply-templates select="xalan:nodeset($title)" mode="titlebig"/>
<!-- <xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="java:toUpperCase(java:java.lang.String.new($title))"/>
<xsl:with-param name="letter-spacing" select="1.1"/>
</xsl:call-template> -->
</fo:block>
<fo:block-container width="22.5mm" border-bottom="2pt solid {$color_design}">
<fo:block margin-top="4pt"> </fo:block>
</fo:block-container>
</xsl:template>
<xsl:template match="text()" mode="titlebig">
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="java:toUpperCase(java:java.lang.String.new(.))"/>
<xsl:with-param name="letter-spacing" select="1.1"/>
</xsl:call-template>
</xsl:template>
<xsl:template match="ogc:strong" mode="titlebig">
<xsl:apply-templates mode="titlebig"/>
<fo:inline/>
</xsl:template>
<xsl:template match="ogc:br" mode="titlebig">
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template match="ogc:fn" mode="titlebig">
</xsl:template>
<xsl:template name="insertSectionTitle">
<xsl:param name="section"/>
<xsl:param name="title"/>
<xsl:param name="level">1</xsl:param>
<fo:block>
<fo:block font-size="18pt" color="{$color_text_title}" keep-with-next="always" line-height="150%">
<xsl:if test="$section != ''">
<fo:inline padding-right="2mm">
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="$section"/>
<xsl:with-param name="letter-spacing" select="0.6"/>
</xsl:call-template>
</fo:inline>
</xsl:if>
<xsl:choose>
<xsl:when test="$level = 1">
<xsl:apply-templates select="xalan:nodeset($title)" mode="titlesmall"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="xalan:nodeset($title)" mode="titlesimple"/>
</xsl:otherwise>
</xsl:choose>
<xsl:variable name="variant-title">
<xsl:choose>
<xsl:when test="$level = 1">
<xsl:apply-templates select="following-sibling::*[1][local-name() = 'variant-title'][@type = 'sub']" mode="titlesmall"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="following-sibling::*[1][local-name() = 'variant-title'][@type = 'sub']" mode="titlesimple"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:if test="normalize-space($variant-title) != ''">
<fo:inline padding-right="5mm"> </fo:inline>
<fo:inline><xsl:copy-of select="$variant-title"/></fo:inline>
</xsl:if>
</fo:block>
<xsl:call-template name="insertShortHorizontalLine"/>
</fo:block>
</xsl:template>
<xsl:template match="text()" mode="titlesmall">
<xsl:call-template name="addLetterSpacing">
<xsl:with-param name="text" select="java:toUpperCase(java:java.lang.String.new(.))"/>
<xsl:with-param name="letter-spacing" select="0.6"/>
</xsl:call-template>
</xsl:template>
<xsl:template match="text()" mode="titlesimple">
<xsl:value-of select="."/>
</xsl:template>
<xsl:template match="ogc:strong" mode="titlesmall">
<xsl:apply-templates mode="titlesmall"/>
</xsl:template>
<xsl:template match="ogc:strong" mode="titlesimple">
<xsl:apply-templates mode="titlesimple"/>
</xsl:template>
<xsl:template match="ogc:em" mode="titlesmall">
<fo:inline font-style="italic"><xsl:apply-templates mode="titlesmall"/></fo:inline>
</xsl:template>
<xsl:template match="ogc:em" mode="titlesimple">
<fo:inline font-style="italic"><xsl:apply-templates mode="titlesimple"/></fo:inline>
</xsl:template>
<xsl:template match="ogc:fn" mode="titlesmall">
<xsl:call-template name="fn"/>
</xsl:template>
<xsl:template match="ogc:fn" mode="titlesimple">
<xsl:call-template name="fn"/>
</xsl:template>
<xsl:template match="ogc:tab " mode="titlesmall">
<xsl:apply-templates select="."/>
</xsl:template>
<xsl:template match="ogc:tab " mode="titlesimple">
<xsl:apply-templates select="."/>
</xsl:template>
<xsl:template match="ogc:br" mode="titlesmall">
<xsl:value-of select="$linebreak"/>
</xsl:template>
<xsl:template match="ogc:br" mode="titlesimple">
<xsl:value-of select="$linebreak"/>
</xsl:template>
<xsl:template match="*[local-name() = 'name']/text()[1]" priority="2">
<!-- 0xA0 to space replacement -->
<xsl:variable name="text" select="java:replaceAll(java:java.lang.String.new(.),' ',' ')"/>
<xsl:variable name="separator" select="' — '"/>
<xsl:choose>
<xsl:when test="contains($text, $separator)">
<fo:inline font-weight="bold"><xsl:value-of select="substring-before($text, $separator)"/></fo:inline>
<xsl:value-of select="$separator"/>
<xsl:value-of select="substring-after($text, $separator)"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$text"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="insertShortHorizontalLine">
<fo:block-container width="12.7mm" border-top="1pt solid {$color_design}" margin-top="3mm">
<fo:block font-size="1pt"> </fo:block>
</fo:block-container>
</xsl:template>
<xsl:template name="insertFootnoteSeparator">
<fo:static-content flow-name="xsl-footnote-separator">
<fo:block>
<fo:leader leader-pattern="rule" leader-length="20%" color="{$color_design}"/>
</fo:block>
</fo:static-content>
</xsl:template>
<!-- <xsl:strip-space elements="ogc:xref"/> -->
<xsl:variable name="namespace_full" select="namespace-uri(/*)"/> <!-- example: https://www.metanorma.org/ns/iso -->
<xsl:variable name="root_element" select="local-name(/*)"/> <!-- example: iso-standard -->
<xsl:variable name="document_scheme" select="normalize-space(//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'presentation-metadata'][*[local-name() = 'name'] = 'document-scheme']/*[local-name() = 'value'])"/>
<!-- external parameters -->
<xsl:param name="svg_images"/> <!-- svg images array -->
<xsl:variable name="images" select="document($svg_images)"/>
<xsl:param name="basepath"/> <!-- base path for images -->
<xsl:param name="inputxml_basepath"/> <!-- input xml file path -->
<xsl:param name="inputxml_filename"/> <!-- input xml file name -->
<xsl:param name="output_path"/> <!-- output PDF file name -->
<xsl:param name="external_index"/><!-- path to index xml, generated on 1st pass, based on FOP Intermediate Format -->
<xsl:param name="syntax-highlight">false</xsl:param> <!-- syntax highlighting feature, default - off -->
<xsl:param name="add_math_as_text">true</xsl:param> <!-- add math in text behind svg formula, to copy-paste formula from PDF as text -->
<xsl:param name="table_if">false</xsl:param> <!-- generate extended table in IF for autolayout-algorithm -->
<xsl:param name="table_widths"/> <!-- (debug: path to) xml with table's widths, generated on 1st pass, based on FOP Intermediate Format -->
<!-- Example: <tables>
<table page-width="509103" id="table1" width_max="223561" width_min="223560">
<column width_max="39354" width_min="39354"/>
<column width_max="75394" width_min="75394"/>
<column width_max="108813" width_min="108813"/>
<tbody>
<tr>
<td width_max="39354" width_min="39354">
<p_len>39354</p_len>
<word_len>39354</word_len>
</td>
OLD:
<tables>
<table id="table_if_tab-symdu" page-width="75"> - table id prefixed by 'table_if_' to simple search in IF
<tbody>
<tr>
<td id="tab-symdu_1_1">
<p_len>6</p_len>
<p_len>100</p_len> for 2nd paragraph
<word_len>6</word_len>
<word_len>20</word_len>
...
-->
<!-- for command line debug: <xsl:variable name="table_widths_from_if" select="document($table_widths)"/> -->
<xsl:variable name="table_widths_from_if" select="xalan:nodeset($table_widths)"/>
<xsl:variable name="table_widths_from_if_calculated_">
<xsl:for-each select="$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 name="table_widths_from_if_calculated" select="xalan:nodeset($table_widths_from_if_calculated_)"/>
<xsl:param name="table_if_debug">false</xsl:param> <!-- set 'true' to put debug width data before table or dl -->
<xsl:variable name="isApplyAutolayoutAlgorithm_">
true
</xsl:variable>
<xsl:variable name="isApplyAutolayoutAlgorithm" select="normalize-space($isApplyAutolayoutAlgorithm_)"/>
<xsl:variable 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 name="isGenerateTableIF" select="normalize-space($isGenerateTableIF_)"/>
<xsl:variable name="lang">
<xsl:call-template name="getLang"/>
</xsl:variable>
<xsl:variable name="inputxml_filename_prefix">
<xsl:choose>
<xsl:when test="contains($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 $namespace = '...' (such conditions will be ignored). For another conditions, please use nested xsl:if or xsl:choose -->
<!--
<metanorma-extension>
<presentation-metadata>
<papersize>letter</papersize>
</presentation-metadata>
</metanorma-extension>
-->
<xsl:variable name="papersize" select="java:toLowerCase(java:java.lang.String.new(normalize-space(//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'presentation-metadata']/*[local-name() = 'papersize'])))"/>
<xsl:variable name="papersize_width_">
<xsl:choose>
<xsl:when test="$papersize = 'letter'">215.9</xsl:when>
<xsl:when test="$papersize = 'a4'">210</xsl:when>
</xsl:choose>
</xsl:variable>
<xsl:variable name="papersize_width" select="normalize-space($papersize_width_)"/>
<xsl:variable 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 name="papersize_height" select="normalize-space($papersize_height_)"/>
<!-- page width in mm -->
<xsl:variable name="pageWidth_">
<xsl:choose>
<xsl:when test="$papersize_width != ''"><xsl:value-of select="$papersize_width"/></xsl:when>
<xsl:otherwise>
215.9
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="pageWidth" select="normalize-space($pageWidth_)"/>
<!-- page height in mm -->
<xsl:variable 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 name="pageHeight" select="normalize-space($pageHeight_)"/>
<!-- Page margins in mm (just digits, without 'mm')-->
<!-- marginLeftRight1 and marginLeftRight2 - is left or right margin depends on odd/even page,
for example, left margin on odd page and right margin on even page -->
<xsl:variable name="marginLeftRight1_">
35
</xsl:variable>
<xsl:variable name="marginLeftRight1" select="normalize-space($marginLeftRight1_)"/>
<xsl:variable name="marginLeftRight2_">
17
</xsl:variable>
<xsl:variable name="marginLeftRight2" select="normalize-space($marginLeftRight2_)"/>
<xsl:variable name="marginTop_">
16.5
</xsl:variable>
<xsl:variable name="marginTop" select="normalize-space($marginTop_)"/>
<xsl:variable name="marginBottom_">
22.5
</xsl:variable>
<xsl:variable name="marginBottom" select="normalize-space($marginBottom_)"/>
<xsl:variable name="layout_columns_default">1</xsl:variable>
<xsl:variable name="layout_columns_" select="normalize-space((//*[contains(local-name(), '-standard')])[1]/*[local-name() = 'metanorma-extension']/*[local-name() = 'presentation-metadata']/*[local-name() = 'layout-columns'])"/>
<xsl:variable name="layout_columns">
<xsl:choose>
<xsl:when test="$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 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="$namespace = 'gb'">
<xsl:text>目次</xsl:text>
</xsl:when>
<xsl:otherwise>
<xsl:text>Contents</xsl:text>
</xsl:otherwise>
</xsl:choose>
</title-toc> -->
<title-toc lang="zh">目次</title-toc>
<title-part lang="en">
</title-part>
<title-part lang="fr">
</title-part>
<title-part lang="ru">
</title-part>
<title-part lang="zh">第 # 部分:</title-part>
<title-subpart lang="en">Sub-part #</title-subpart>
<title-subpart lang="fr">Partie de sub #</title-subpart>
</xsl:variable>
<xsl:variable name="titles" select="xalan:nodeset($titles_)"/>
<xsl:variable 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 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 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 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 name="linebreak">
</xsl:variable>
<xsl:variable name="tab_zh"> </xsl:variable>
<xsl:variable name="non_breaking_hyphen">‑</xsl:variable>
<xsl:variable name="thin_space"> </xsl:variable>
<xsl:variable name="zero_width_space"></xsl:variable>
<xsl:variable name="hair_space"> </xsl:variable>
<xsl:variable name="en_dash">–</xsl:variable>
<xsl:variable name="em_dash">—</xsl:variable>
<xsl:variable name="cr"> </xsl:variable>
<xsl:variable name="lf">
</xsl:variable>
<xsl:template 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() = $name][@lang = 'en']"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:variable name="lower">abcdefghijklmnopqrstuvwxyz</xsl:variable>
<xsl:variable name="upper">ABCDEFGHIJKLMNOPQRSTUVWXYZ</xsl:variable>
<xsl:variable name="en_chars" select="concat($lower,$upper,',.`1234567890-=~!@#$%^*()_+[]{}\|?/')"/>
<!-- ====================================== -->
<!-- STYLES -->
<!-- ====================================== -->
<xsl:variable 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 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 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 name="root-style">
<xsl:attribute name="font-family">Lato, STIX Two Math, <xsl:value-of select="$font_noto_sans"/></xsl:attribute>
<xsl:attribute name="font-family-generic">Sans</xsl:attribute>
<xsl:attribute name="font-size">11pt</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_main"/></xsl:attribute>
</xsl:attribute-set> <!-- root-style -->
<xsl:template 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 name="copyright-statement-style">
<xsl:attribute name="font-size">8pt</xsl:attribute>
<xsl:attribute name="line-height">125%</xsl:attribute>
</xsl:attribute-set> <!-- copyright-statement-style -->
<xsl:attribute-set name="copyright-statement-title-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_text_title"/></xsl:attribute>
<xsl:attribute name="margin-top">24pt</xsl:attribute>
</xsl:attribute-set> <!-- copyright-statement-title-style -->
<xsl:attribute-set name="copyright-statement-p-style">
<xsl:attribute name="margin-top">6pt</xsl:attribute>
</xsl:attribute-set> <!-- copyright-statement-p-style -->
<xsl:attribute-set name="license-statement-style">
<xsl:attribute name="font-size">8pt</xsl:attribute>
<xsl:attribute name="line-height">125%</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="license-statement-title-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_text_title"/></xsl:attribute>
</xsl:attribute-set> <!-- license-statement-title-style -->
<xsl:attribute-set name="license-statement-p-style">
<xsl:attribute name="margin-top">6pt</xsl:attribute>
</xsl:attribute-set> <!-- license-statement-p-style -->
<xsl:attribute-set name="legal-statement-style">
<xsl:attribute name="font-size">8pt</xsl:attribute>
</xsl:attribute-set> <!-- legal-statement-style -->
<xsl:attribute-set name="legal-statement-title-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set> <!-- legal-statement-title-style -->
<xsl:attribute-set name="legal-statement-p-style">
</xsl:attribute-set> <!-- legal-statement-p-style -->
<xsl:attribute-set name="feedback-statement-style">
<xsl:attribute name="font-size">8pt</xsl:attribute>
<xsl:attribute name="line-height">125%</xsl:attribute>
</xsl:attribute-set> <!-- feedback-statement-style -->
<xsl:attribute-set name="feedback-statement-title-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set> <!-- feedback-statement-title-style -->
<xsl:attribute-set name="feedback-statement-p-style">
<xsl:attribute name="margin-top">6pt</xsl:attribute>
</xsl:attribute-set> <!-- feedback-statement-p-style -->
<!-- End Preface sections styles -->
<xsl:attribute-set name="link-style">
<xsl:attribute name="text-decoration">underline</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_link-style">
</xsl:template> <!-- refine_link-style -->
<xsl:attribute-set name="sourcecode-container-style">
</xsl:attribute-set>
<xsl:attribute-set 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">Fira Code, <xsl:value-of select="$font_noto_sans_mono"/></xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
<xsl:attribute name="line-height">113%</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_sourcecode-style">
<xsl:if test="parent::*[local-name() = 'example']">
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
</xsl:template> <!-- refine_sourcecode-style -->
<xsl:attribute-set name="pre-style">
<xsl:attribute name="font-family">Courier New, <xsl:value-of select="$font_noto_sans_mono"/></xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
<xsl:attribute name="font-family">Fira Code, <xsl:value-of select="$font_noto_sans_mono"/></xsl:attribute>
<xsl:attribute name="line-height">113%</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="permission-style">
<xsl:attribute name="margin-top">6pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="permission-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="padding-top">0.5mm</xsl:attribute>
<xsl:attribute name="padding-bottom">1mm</xsl:attribute>
<xsl:attribute name="margin-bottom">1mm</xsl:attribute>
<xsl:attribute name="background-color">rgb(165,165,165)</xsl:attribute>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="permission-label-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="requirement-style">
<xsl:attribute name="margin-top">6pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="requirement-name-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<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="padding-top">0.5mm</xsl:attribute>
<xsl:attribute name="padding-bottom">1mm</xsl:attribute>
<xsl:attribute name="margin-bottom">1mm</xsl:attribute>
<xsl:attribute name="background-color">rgb(165,165,165)</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="requirement-label-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="subject-style">
</xsl:attribute-set>
<xsl:attribute-set name="inherit-style">
</xsl:attribute-set>
<xsl:attribute-set name="description-style">
</xsl:attribute-set>
<xsl:attribute-set name="specification-style">
</xsl:attribute-set>
<xsl:attribute-set name="measurement-target-style">
</xsl:attribute-set>
<xsl:attribute-set name="verification-style">
</xsl:attribute-set>
<xsl:attribute-set name="import-style">
</xsl:attribute-set>
<xsl:attribute-set name="component-style">
</xsl:attribute-set>
<xsl:attribute-set name="recommendation-style">
<xsl:attribute name="margin-top">6pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="recommendation-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="padding-top">0.5mm</xsl:attribute>
<xsl:attribute name="padding-bottom">1mm</xsl:attribute>
<xsl:attribute name="margin-bottom">1mm</xsl:attribute>
<xsl:attribute name="background-color">rgb(165,165,165)</xsl:attribute>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="recommendation-label-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="termexample-style">
<xsl:attribute name="font-size">10pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_termexample-style">
</xsl:template>
<xsl:attribute-set name="example-style">
<xsl:attribute name="margin-top">10pt</xsl:attribute>
<xsl:attribute name="margin-bottom">10pt</xsl:attribute>
</xsl:attribute-set> <!-- example-style -->
<xsl:template name="refine_example-style">
</xsl:template> <!-- refine_example-style -->
<xsl:attribute-set name="example-body-style">
</xsl:attribute-set> <!-- example-body-style -->
<xsl:attribute-set name="example-name-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:attribute-set> <!-- example-name-style -->
<xsl:template name="refine_example-name-style">
</xsl:template>
<xsl:attribute-set name="example-p-style">
<xsl:attribute name="margin-bottom">14pt</xsl:attribute>
</xsl:attribute-set> <!-- example-p-style -->
<xsl:template name="refine_example-p-style">
</xsl:template> <!-- refine_example-p-style -->
<xsl:attribute-set name="termexample-name-style">
<xsl:attribute name="padding-right">10mm</xsl:attribute>
</xsl:attribute-set> <!-- termexample-name-style -->
<xsl:template name="refine_termexample-name-style">
</xsl:template>
<!-- ========================== -->
<!-- Table styles -->
<!-- ========================== -->
<xsl:variable name="table-border_">
</xsl:variable>
<xsl:variable name="table-border" select="normalize-space($table-border_)"/>
<xsl:variable name="table-cell-border_">
</xsl:variable>
<xsl:variable name="table-cell-border" select="normalize-space($table-cell-border_)"/>
<xsl:attribute-set name="table-container-style">
<xsl:attribute name="margin-left">0mm</xsl:attribute>
<xsl:attribute name="margin-right">0mm</xsl:attribute>
<xsl:attribute name="space-after">12pt</xsl:attribute>
</xsl:attribute-set> <!-- table-container-style -->
<xsl:template name="refine_table-container-style">
<xsl:param name="margin-side"/>
<!-- <xsl:if test="ancestor::*[local-name()='sections']"> -->
<xsl:attribute name="font-size">9pt</xsl:attribute>
<!-- </xsl:if> -->
<!-- end table block-container attributes -->
</xsl:template> <!-- refine_table-container-style -->
<xsl:attribute-set name="table-style">
<xsl:attribute name="table-omit-footer-at-break">true</xsl:attribute>
<xsl:attribute name="table-layout">fixed</xsl:attribute>
</xsl:attribute-set><!-- table-style -->
<xsl:template name="refine_table-style">
<xsl:param name="margin-side"/>
<xsl:call-template name="setBordersTableArray"/>
</xsl:template> <!-- refine_table-style -->
<xsl:attribute-set name="table-name-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="text-align">left</xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_text_title"/></xsl:attribute>
<xsl:attribute name="font-size">11pt</xsl:attribute>
</xsl:attribute-set> <!-- table-name-style -->
<xsl:template name="refine_table-name-style">
<xsl:param name="continued"/>
</xsl:template> <!-- refine_table-name-style -->
<xsl:attribute-set 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 name="table-header-row-style" use-attribute-sets="table-row-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="background-color"><xsl:value-of select="$color_table_header_row"/></xsl:attribute>
<xsl:attribute name="color">white</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_table-header-row-style">
<xsl:call-template name="setBordersTableArray"/>
</xsl:template> <!-- refine_table-header-row-style -->
<xsl:attribute-set name="table-footer-row-style" use-attribute-sets="table-row-style">
</xsl:attribute-set>
<xsl:template name="refine_table-footer-row-style">
</xsl:template> <!-- refine_table-footer-row-style -->
<xsl:attribute-set name="table-body-row-style" use-attribute-sets="table-row-style">
</xsl:attribute-set>
<xsl:template name="refine_table-body-row-style">
<xsl:call-template name="setBordersTableArray"/>
<xsl:variable name="number"><xsl:number/></xsl:variable>
<xsl:attribute name="background-color">
<xsl:choose>
<xsl:when test="$number mod 2 = 0"><xsl:value-of select="$color_table_row_even"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$color_table_row_odd"/></xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:template> <!-- refine_table-body-row-style -->
<xsl:attribute-set 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="padding-top">1mm</xsl:attribute>
<xsl:attribute name="padding-bottom">1mm</xsl:attribute>
<xsl:attribute name="border">solid black 0pt</xsl:attribute>
</xsl:attribute-set> <!-- table-header-cell-style -->
<xsl:template name="refine_table-header-cell-style">
<xsl:call-template name="setBordersTableArray"/>
<xsl:if test="starts-with(ancestor::*[local-name() = 'table'][1]/@type, 'recommend') and normalize-space(@align) = ''">
<xsl:call-template name="setTextAlignment">
<xsl:with-param name="default">left</xsl:with-param>
</xsl:call-template>
</xsl:if>
<xsl:if test="$lang = 'ar'">
<xsl:attribute name="padding-right">1mm</xsl:attribute>
</xsl:if>
<xsl:call-template name="setTableCellAttributes"/>
</xsl:template> <!-- refine_table-header-cell-style -->
<xsl:attribute-set name="table-cell-style">
<xsl:attribute name="display-align">center</xsl:attribute>
<xsl:attribute name="padding-left">1mm</xsl:attribute>
<xsl:attribute name="padding-right">1mm</xsl:attribute>
<xsl:attribute name="border">solid 0pt white</xsl:attribute>
<xsl:attribute name="padding-top">1mm</xsl:attribute>
<xsl:attribute name="padding-bottom">1mm</xsl:attribute>
</xsl:attribute-set> <!-- table-cell-style -->
<xsl:template name="refine_table-cell-style">
<xsl:if test="$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 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 name="refine_table-footer-cell-style">
</xsl:template> <!-- refine_table-footer-cell-style -->
<xsl:attribute-set name="table-note-style">
<xsl:attribute name="font-size">10pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set><!-- table-note-style -->
<xsl:template name="refine_table-note-style">
</xsl:template> <!-- refine_table-note-style -->
<xsl:attribute-set name="table-fn-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set> <!-- table-fn-style -->
<xsl:template name="refine_table-fn-style">
</xsl:template>
<xsl:attribute-set name="table-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> <!-- table-fn-number-style -->
<xsl:template name="refine_table-fn-number-style">
</xsl:template>
<xsl:attribute-set 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 name="table-fn-body-style">
</xsl:attribute-set>
<xsl:attribute-set 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 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 name="dl-block-style">
<xsl:attribute name="margin-bottom">8pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="dt-row-style">
<xsl:attribute name="min-height">8.5mm</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="dt-cell-style">
<xsl:attribute name="padding-top">0.5mm</xsl:attribute>
<xsl:attribute name="padding-right">5mm</xsl:attribute>
<xsl:attribute name="padding-left">1mm</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_dt-cell-style">
<xsl:if test="not(ancestor::ogc:sourcecode)">
<!-- <xsl:attribute name="border-left">1pt solid <xsl:value-of select="$color_design"/></xsl:attribute> -->
<xsl:attribute name="background-color"><xsl:value-of select="$color_dl_dt"/></xsl:attribute>
</xsl:if>
</xsl:template> <!-- refine_dt-cell-style -->
<xsl:attribute-set name="dt-block-style">
<xsl:attribute name="margin-top">0pt</xsl:attribute>
<xsl:attribute name="margin-bottom">6pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_dt-block-style">
<xsl:if test="ancestor::ogc:sourcecode">
<xsl:attribute name="margin-bottom">2pt</xsl:attribute>
</xsl:if>
<xsl:if test="not(following-sibling::ogc:dt)"> <!-- last dt -->
<xsl:attribute name="margin-bottom">0</xsl:attribute>
</xsl:if>
</xsl:template> <!-- refine_dt-block-style -->
<xsl:attribute-set 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">normal</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_text_title"/></xsl:attribute>
</xsl:attribute-set> <!-- dl-name-style -->
<xsl:attribute-set name="dd-cell-style">
<xsl:attribute name="padding-left">2mm</xsl:attribute>
<xsl:attribute name="padding-top">0.5mm</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_dd-cell-style">
<xsl:if test="not(ancestor::ogc:sourcecode)">
<xsl:attribute name="background-color"><xsl:value-of select="$color_dl_dd"/></xsl:attribute>
</xsl:if>
</xsl:template> <!-- refine_dd-cell-style -->
<!-- ========================== -->
<!-- END Definition's list styles -->
<!-- ========================== -->
<xsl:attribute-set name="appendix-style">
<xsl:attribute name="font-size">12pt</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="appendix-example-style">
<xsl:attribute name="font-size">10pt</xsl:attribute>
<xsl:attribute name="margin-top">8pt</xsl:attribute>
<xsl:attribute name="margin-bottom">8pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="xref-style">
</xsl:attribute-set>
<xsl:attribute-set name="eref-style">
</xsl:attribute-set>
<xsl:template name="refine_eref-style">
<xsl:variable name="citeas" select="java:replaceAll(java:java.lang.String.new(@citeas),'^\[?(.+?)\]?$','$1')"/> <!-- remove leading and trailing brackets -->
<xsl:variable name="text" select="normalize-space()"/>
</xsl:template> <!-- refine_eref-style -->
<xsl:attribute-set name="note-style">
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_note-style">
<xsl:if test="ancestor::ogc:ul or ancestor::ogc:ol and not(ancestor::ogc:note[1]/following-sibling::*)">
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:variable name="note-body-indent">10mm</xsl:variable>
<xsl:variable name="note-body-indent-table">5mm</xsl:variable>
<xsl:attribute-set name="note-name-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<!-- <xsl:attribute name="padding-right">1mm</xsl:attribute> -->
</xsl:attribute-set>
<xsl:template name="refine_note-name-style">
</xsl:template> <!-- refine_note-name-style -->
<xsl:attribute-set name="table-note-name-style">
<xsl:attribute name="padding-right">2mm</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_table-note-name-style">
</xsl:template> <!-- refine_table-note-name-style -->
<xsl:attribute-set name="note-p-style">
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="termnote-style">
<xsl:attribute name="margin-top">12pt</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_termnote-style">
</xsl:template> <!-- refine_termnote-style -->
<xsl:attribute-set name="termnote-name-style">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="padding-right">1mm</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_termnote-name-style">
<!-- <xsl:if test="$namespace = 'ieee'">
<xsl:attribute name="padding-right">0mm</xsl:attribute>
</xsl:if> -->
</xsl:template>
<xsl:attribute-set name="termnote-p-style">
<xsl:attribute name="space-before">4pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set 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 name="refine_quote-style">
</xsl:template>
<xsl:attribute-set 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 name="termsource-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="keep-with-previous">always</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_termsource-style">
</xsl:template> <!-- refine_termsource-style -->
<xsl:attribute-set name="termsource-text-style">
<xsl:attribute name="padding-right">1mm</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="origin-style">
</xsl:attribute-set>
<xsl:attribute-set name="term-style">
</xsl:attribute-set>
<xsl:attribute-set 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 name="figure-block-style">
<xsl:attribute name="role">SKIP</xsl:attribute>
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_figure-block-style">
</xsl:template>
<xsl:attribute-set name="figure-style">
</xsl:attribute-set>
<xsl:attribute-set name="figure-name-style">
<xsl:attribute name="role">Caption</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_text_title"/></xsl:attribute>
<!-- <xsl:attribute name="margin-top">12pt</xsl:attribute> -->
<xsl:attribute name="margin-top">6pt</xsl:attribute>
<xsl:attribute name="space-after">12pt</xsl:attribute>
<!-- <xsl:attribute name="keep-with-next">always</xsl:attribute> -->
<xsl:attribute name="keep-with-previous">always</xsl:attribute>
<xsl:attribute name="text-align">center</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_figure-name-style">
</xsl:template> <!-- refine_figure-name-style -->
<xsl:attribute-set name="figure-source-style">
</xsl:attribute-set>
<!-- Formula's styles -->
<xsl:attribute-set 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 name="formula-stem-block-style">
<xsl:attribute name="text-align">center</xsl:attribute>
<xsl:attribute name="text-align">left</xsl:attribute>
</xsl:attribute-set> <!-- formula-stem-block-style -->
<xsl:template name="refine_formula-stem-block-style">
</xsl:template> <!-- refine_formula-stem-block-style -->
<xsl:attribute-set 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 name="refine_formula-stem-number-style">
</xsl:template>
<xsl:attribute-set name="image-style">
<xsl:attribute name="role">SKIP</xsl:attribute>
<xsl:attribute name="text-align">center</xsl:attribute>
<xsl:attribute name="space-before">12pt</xsl:attribute>
<xsl:attribute name="space-after">6pt</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_image-style">
</xsl:template>
<xsl:attribute-set name="figure-pseudocode-p-style">
</xsl:attribute-set>
<xsl:attribute-set 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 name="tt-style">
<xsl:attribute name="font-family">Fira Code, <xsl:value-of select="$font_noto_sans_mono"/></xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set 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-set>
<xsl:attribute-set name="preferred-block-style">
</xsl:attribute-set>
<xsl:attribute-set 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 name="domain-style">
</xsl:attribute-set>
<xsl:attribute-set name="admitted-style">
<xsl:attribute name="font-size">11pt</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="deprecates-style">
</xsl:attribute-set>
<xsl:attribute-set name="definition-style">
<xsl:attribute name="space-after">6pt</xsl:attribute>
</xsl:attribute-set>
<xsl:variable name="color-added-text">
<xsl:text>rgb(0, 255, 0)</xsl:text>
</xsl:variable>
<xsl:attribute-set 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="$color-added-text"/></xsl:attribute>
<xsl:attribute name="padding-top">1mm</xsl:attribute>
<xsl:attribute name="padding-bottom">0.5mm</xsl:attribute> -->
</xsl:attribute-set>
<xsl:variable name="add-style">
<add-style xsl:use-attribute-sets="add-style"/>
</xsl:variable>
<xsl:template name="append_add-style">
<xsl:copy-of select="xalan:nodeset($add-style)/add-style/@*"/>
</xsl:template>
<xsl:variable name="color-deleted-text">
<xsl:text>red</xsl:text>
</xsl:variable>
<xsl:attribute-set name="del-style">
<xsl:attribute name="color"><xsl:value-of select="$color-deleted-text"/></xsl:attribute>
<xsl:attribute name="text-decoration">line-through</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="mathml-style">
<xsl:attribute name="font-family">STIX Two Math</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_mathml-style">
</xsl:template>
<xsl:attribute-set name="list-style">
<xsl:attribute name="provisional-distance-between-starts">12mm</xsl:attribute>
<xsl:attribute name="space-after">12pt</xsl:attribute>
<xsl:attribute name="line-height">115%</xsl:attribute>
</xsl:attribute-set> <!-- list-style -->
<xsl:template name="refine_list-style">
</xsl:template> <!-- refine_list-style -->
<xsl:attribute-set name="list-name-style">
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$color_text_title"/></xsl:attribute>
</xsl:attribute-set> <!-- list-name-style -->
<xsl:attribute-set name="list-item-style">
</xsl:attribute-set>
<xsl:template name="refine_list-item-style">
</xsl:template> <!-- refine_list-item-style -->
<xsl:attribute-set name="list-item-label-style">
</xsl:attribute-set>
<xsl:template name="refine_list-item-label-style">
</xsl:template> <!-- refine_list-item-label-style -->
<xsl:attribute-set name="list-item-body-style">
<xsl:attribute name="line-height-shift-adjustment">disregard-shifts</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_list-item-body-style">
<xsl:attribute name="margin-bottom">10pt</xsl:attribute>
<xsl:if test="ancestor::ogc:table[not(@class)]">
<xsl:attribute name="margin-bottom">1mm</xsl:attribute>
</xsl:if>
<xsl:if test="not(following-sibling::*) and not(../following-sibling::*)">
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
</xsl:template> <!-- refine_list-item-body-style -->
<xsl:attribute-set name="toc-style">
<xsl:attribute name="line-height">135%</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set 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="vertical-align">super</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_fn-reference-style">
</xsl:template> <!-- refine_fn-reference-style -->
<xsl:attribute-set name="fn-style">
<xsl:attribute name="keep-with-previous.within-line">always</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set 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 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"><xsl:value-of select="$color_main"/></xsl:attribute>
<xsl:attribute name="line-height">124%</xsl:attribute>
<xsl:attribute name="text-align">justify</xsl:attribute>
</xsl:attribute-set>
<xsl:template name="refine_fn-body-style">
</xsl:template> <!-- refine_fn-body-style -->
<xsl:attribute-set 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 name="refine_fn-body-num-style">
</xsl:template> <!-- refine_fn-body-num-style -->
<!-- admonition -->
<xsl:attribute-set 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 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 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">bold</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 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 name="bibitem-normative-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
<xsl:attribute name="start-indent">25mm</xsl:attribute>
<xsl:attribute name="text-indent">-25mm</xsl:attribute>
<xsl:attribute name="line-height">115%</xsl:attribute>
</xsl:attribute-set> <!-- bibitem-normative-style -->
<!-- bibitem in Normative References (references/@normative="true"), renders as list -->
<xsl:attribute-set 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="provisional-distance-between-starts">13mm</xsl:attribute>
</xsl:attribute-set> <!-- bibitem-normative-list-style -->
<xsl:attribute-set 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 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="provisional-distance-between-starts">13mm</xsl:attribute>
</xsl:attribute-set> <!-- bibitem-non-normative-list-style -->
<xsl:attribute-set name="bibitem-non-normative-list-item-style">
<xsl:attribute name="margin-bottom">12pt</xsl:attribute>
</xsl:attribute-set>
<!-- bibitem in bibliography section (references/@normative="false"), list body -->
<xsl:attribute-set name="bibitem-normative-list-body-style">
</xsl:attribute-set>
<xsl:attribute-set 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 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 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 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-set> <!-- bibitem-note-fn-body-style -->
<xsl:attribute-set name="references-non-normative-style">
<xsl:attribute name="line-height">120%</xsl:attribute>
</xsl:attribute-set> <!-- references-non-normative-style -->
<!-- Highlight.js syntax GitHub styles -->
<xsl:attribute-set name="hljs-doctag">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-keyword">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-meta_hljs-keyword">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-template-tag">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-template-variable">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-type">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-variable_and_language_">
<xsl:attribute name="color">#d73a49</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-title">
<xsl:attribute name="color">#6f42c1</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-title_and_class_">
<xsl:attribute name="color">#6f42c1</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-title_and_class__and_inherited__">
<xsl:attribute name="color">#6f42c1</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-title_and_function_">
<xsl:attribute name="color">#6f42c1</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-attr">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-attribute">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-literal">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-meta">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-number">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-operator">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-variable">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-selector-attr">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-selector-class">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-selector-id">
<xsl:attribute name="color">#005cc5</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-regexp">
<xsl:attribute name="color">#032f62</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-string">
<xsl:attribute name="color">#032f62</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-meta_hljs-string">
<xsl:attribute name="color">#032f62</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-built_in">
<xsl:attribute name="color">#e36209</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-symbol">
<xsl:attribute name="color">#e36209</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-comment">
<xsl:attribute name="color">#6a737d</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-code">
<xsl:attribute name="color">#6a737d</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-formula">
<xsl:attribute name="color">#6a737d</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-name">
<xsl:attribute name="color">#22863a</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-quote">
<xsl:attribute name="color">#22863a</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-selector-tag">
<xsl:attribute name="color">#22863a</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-selector-pseudo">
<xsl:attribute name="color">#22863a</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-subst">
<xsl:attribute name="color">#24292e</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-section">
<xsl:attribute name="color">#005cc5</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-bullet">
<xsl:attribute name="color">#735c0f</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-emphasis">
<xsl:attribute name="color">#24292e</xsl:attribute>
<xsl:attribute name="font-style">italic</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-strong">
<xsl:attribute name="color">#24292e</xsl:attribute>
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-addition">
<xsl:attribute name="color">#22863a</xsl:attribute>
<xsl:attribute name="background-color">#f0fff4</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-deletion">
<xsl:attribute name="color">#b31d28</xsl:attribute>
<xsl:attribute name="background-color">#ffeef0</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set name="hljs-char_and_escape_">
</xsl:attribute-set>
<xsl:attribute-set name="hljs-link">
</xsl:attribute-set>
<xsl:attribute-set name="hljs-params">
</xsl:attribute-set>
<xsl:attribute-set name="hljs-property">
</xsl:attribute-set>
<xsl:attribute-set name="hljs-punctuation">
</xsl:attribute-set>
<xsl:attribute-set name="hljs-tag">
</xsl:attribute-set>
<!-- End Highlight syntax styles -->
<!-- Index section styles -->
<xsl:attribute-set name="indexsect-title-style">
<xsl:attribute name="role">H1</xsl:attribute>
</xsl:attribute-set>
<xsl:attribute-set 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 name="border-block-added">2.5pt solid rgb(0, 176, 80)</xsl:variable>
<xsl:variable name="border-block-deleted">2.5pt solid rgb(255, 0, 0)</xsl:variable>
<xsl:variable name="ace_tag">ace-tag_</xsl:variable>
<xsl:template 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 = $preceding-sibling_id and not(@displayorder)]" mode="contents_no_displayorder"/>
</xsl:if>
<xsl:apply-templates select="." mode="contents"/>
</xsl:for-each>
</xsl:template>
<xsl:template name="processMainSectionsDefault_Contents">
<xsl:variable name="nodes_sections_">
<xsl:for-each select="/*/*[local-name()='sections']/*">
<node id="{@id}"/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="nodes_sections" select="xalan:nodeset($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 = $preceding-sibling_id and not(@displayorder)]" mode="contents_no_displayorder"/>
</xsl:if>
<xsl:apply-templates select="." mode="contents"/>
</xsl:for-each>
<!-- <xsl:for-each select="/*/*[local-name()='annex']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="contents"/>
</xsl:for-each> -->
<xsl:for-each select="/*/*[local-name()='annex'] | /*/*[local-name()='bibliography']/*[not(@normative='true') and not(*[local-name()='references'][@normative='true'])][count(.//*[local-name() = 'bibitem'][not(@hidden) = 'true']) > 0] | /*/*[local-name()='bibliography']/*[local-name()='clause'][*[local-name()='references'][not(@normative='true')]][count(.//*[local-name() = 'bibitem'][not(@hidden) = 'true']) > 0]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="contents"/>
</xsl:for-each>
</xsl:template>
<xsl:template name="processTablesFigures_Contents">
<xsl:param name="always"/>
<xsl:if test="(//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'toc'][@type='table']/*[local-name() = 'title']) or normalize-space($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($always) = 'true'">
<xsl:call-template name="processFigures_Contents"/>
</xsl:if>
</xsl:template>
<xsl:template name="processTables_Contents">
<tables>
<xsl:for-each select="//*[local-name() = 'table'][not(ancestor::*[local-name() = 'metanorma-extension'])][@id and *[local-name() = 'name'] and normalize-space(@id) != '']">
<xsl:choose>
<xsl:when test="*[local-name() = 'fmt-name']">
<xsl:variable name="fmt_name">
<xsl:apply-templates select="*[local-name() = 'fmt-name']" mode="update_xml_step1"/>
</xsl:variable>
<table id="{@id}" alt-text="{normalize-space($fmt_name)}">
<xsl:copy-of select="$fmt_name"/>
</table>
</xsl:when>
<xsl:otherwise>
<table id="{@id}" alt-text="{*[local-name() = 'name']}">
<xsl:copy-of select="*[local-name() = 'name']"/>
</table>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</tables>
</xsl:template>
<xsl:template name="processFigures_Contents">
<figures>
<xsl:for-each select="//*[local-name() = 'figure'][@id and *[local-name() = 'name'] and not(@unnumbered = 'true') and normalize-space(@id) != ''] | //*[@id and starts-with(*[local-name() = 'name'], 'Figure ') and normalize-space(@id) != '']">
<xsl:choose>
<xsl:when test="*[local-name() = 'fmt-name']">
<xsl:variable name="fmt_name">
<xsl:apply-templates select="*[local-name() = 'fmt-name']" mode="update_xml_step1"/>
</xsl:variable>
<figure id="{@id}" alt-text="{normalize-space($fmt_name)}">
<xsl:copy-of select="$fmt_name"/>
</figure>
</xsl:when>
<xsl:otherwise>
<figure id="{@id}" alt-text="{*[local-name() = 'name']}">
<xsl:copy-of select="*[local-name() = 'name']"/>
</figure>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</figures>
</xsl:template>
<xsl:template 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 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' and local-name() != 'indexsect']"/>
</xsl:template>
<xsl:template 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 -->
<!-- Example:
<iso-standard>
<preface>
<page_sequence>
<clause...
</page_sequence>
<page_sequence>
<clause...
</page_sequence>
</preface>
<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 name="processPrefaceAndMainSectionsDefault_items">
<xsl:variable name="updated_xml_step_move_pagebreak">
<xsl:element name="{$root_element}" namespace="{$namespace_full}">
<xsl:call-template name="copyCommonElements"/>
<xsl:call-template name="insertPrefaceSectionsPageSequences"/>
<xsl:call-template name="insertMainSectionsPageSequences"/>
</xsl:element>
</xsl:variable>
<xsl:variable name="updated_xml_step_move_pagebreak_filename" select="concat($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($updated_xml_step_move_pagebreak_filename)"/>
<xsl:if test="$debug = 'true'">
<redirect:write file="page_sequence_preface_and_main.xml">
<xsl:copy-of select="$updated_xml_step_move_pagebreak"/>
</redirect:write>
</xsl:if>
<xsl:call-template name="deleteFile">
<xsl:with-param name="filepath" select="$updated_xml_step_move_pagebreak_filename"/>
</xsl:call-template>
</xsl:template> <!-- END: processPrefaceAndMainSectionsDefault_items -->
<xsl:template name="insertPrefaceSectionsPageSequences">
<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:template> <!-- END: insertPrefaceSectionsPageSequences -->
<xsl:template name="insertMainSectionsPageSequences">
<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="{$namespace_full}"> <!-- save context element -->
<xsl:for-each select="/*/*[local-name()='bibliography']/*[not(@normative='true')] | /*/*[local-name()='bibliography']/*[local-name()='clause'][*[local-name()='references'][not(@normative='true')]]">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:for-each>
</xsl:element>
</xsl:element>
</xsl:template> <!-- END: insertMainSectionsPageSequences -->
<xsl:template name="insertMainSectionsInSeparatePageSequences">
<xsl:element name="sections" namespace="{$namespace_full}"> <!-- save context element -->
<xsl:for-each select="/*/*[local-name()='sections']/* | /*/*[local-name()='bibliography']/*[local-name()='references'][@normative='true']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:attribute name="main_page_sequence"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:element>
</xsl:for-each>
</xsl:element>
<xsl:call-template name="insertAnnexAndBibliographyInSeparatePageSequences"/>
<!-- <xsl:call-template name="insertBibliographyInSeparatePageSequences"/> -->
<!-- <xsl:call-template name="insertIndexInSeparatePageSequences"/> -->
</xsl:template> <!-- END: insertMainSectionsInSeparatePageSequences -->
<xsl:template name="insertAnnexAndBibliographyInSeparatePageSequences">
<xsl:for-each select="/*/*[local-name()='annex'] | /*/*[local-name()='bibliography']/*[not(@normative='true')] | /*/*[local-name()='bibliography']/*[local-name()='clause'][*[local-name()='references'][not(@normative='true')]] | /*/*[local-name()='indexsect']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:choose>
<xsl:when test="local-name() = 'annex' or local-name() = 'indexsect'">
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:attribute name="main_page_sequence"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:element>
</xsl:when>
<xsl:otherwise> <!-- bibliography -->
<xsl:element name="bibliography" namespace="{$namespace_full}"> <!-- save context element -->
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:attribute name="main_page_sequence"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:element>
</xsl:element>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:template>
<xsl:template name="insertAnnexInSeparatePageSequences">
<xsl:for-each select="/*/*[local-name()='annex']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:attribute name="main_page_sequence"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:element>
</xsl:for-each>
</xsl:template>
<xsl:template name="insertBibliographyInSeparatePageSequences">
<xsl:element name="bibliography" namespace="{$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:element name="page_sequence" namespace="{$namespace_full}">
<xsl:attribute name="main_page_sequence"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:element>
</xsl:for-each>
</xsl:element>
</xsl:template>
<xsl:template name="insertIndexInSeparatePageSequences">
<xsl:for-each select="/*/*[local-name()='indexsect']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:element name="page_sequence" namespace="{$namespace_full}">
<xsl:attribute name="main_page_sequence"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak"/>
</xsl:element>
</xsl:for-each>
</xsl:template>
<xsl:template name="processAllSectionsDefault_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="page_sequence" namespace="{$namespace_full}">
<xsl:call-template name="insertPrefaceSections"/>
<xsl:call-template name="insertMainSections"/>
</xsl:element>
</xsl:element>
</xsl:variable>
<xsl:variable name="updated_xml_step_move_pagebreak_filename" select="concat($output_path,'_preface_and_main_', java:getTime(java:java.util.Date.new()), '.xml')"/>
<!-- <xsl:message>updated_xml_step_move_pagebreak_filename=<xsl:value-of select="$updated_xml_step_move_pagebreak_filename"/></xsl:message>
<xsl:message>start write updated_xml_step_move_pagebreak_filename</xsl:message> -->
<redirect:write file="{$updated_xml_step_move_pagebreak_filename}">
<xsl:copy-of select="$updated_xml_step_move_pagebreak"/>
</redirect:write>
<!-- <xsl:message>end write updated_xml_step_move_pagebreak_filename</xsl:message> -->
<xsl:copy-of select="document($updated_xml_step_move_pagebreak_filename)"/>
<!-- TODO: instead of
<xsl:for-each select=".//*[local-name() = 'page_sequence'][normalize-space() != '' or .//image or .//svg]">
in each template, add removing empty page_sequence here
-->
<xsl:if test="$debug = 'true'">
<redirect:write file="page_sequence_preface_and_main.xml">
<xsl:copy-of select="$updated_xml_step_move_pagebreak"/>
</redirect:write>
</xsl:if>
<!-- <xsl:message>start delete updated_xml_step_move_pagebreak_filename</xsl:message> -->
<xsl:call-template name="deleteFile">
<xsl:with-param name="filepath" select="$updated_xml_step_move_pagebreak_filename"/>
</xsl:call-template>
<!-- <xsl:message>end delete updated_xml_step_move_pagebreak_filename</xsl:message> -->
</xsl:template> <!-- END: processAllSectionsDefault_items -->
<xsl:template name="insertPrefaceSections">
<xsl:element name="preface" namespace="{$namespace_full}"> <!-- save context element -->
<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:with-param name="page_sequence_at_top">true</xsl:with-param>
</xsl:apply-templates>
</xsl:for-each>
</xsl:element>
</xsl:template>
<xsl:template name="insertMainSections">
<xsl:element name="sections" namespace="{$namespace_full}"> <!-- save context element -->
<xsl:for-each select="/*/*[local-name()='sections']/* | /*/*[local-name()='bibliography']/*[local-name()='references'][@normative='true']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak">
<xsl:with-param name="page_sequence_at_top">true</xsl:with-param>
</xsl:apply-templates>
</xsl:for-each>
</xsl:element>
<xsl:for-each select="/*/*[local-name()='annex']">
<xsl:sort select="@displayorder" data-type="number"/>
<xsl:apply-templates select="." mode="update_xml_step_move_pagebreak">
<xsl:with-param name="page_sequence_at_top">true</xsl:with-param>
</xsl:apply-templates>
</xsl:for-each>
<xsl:element name="bibliography" namespace="{$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:with-param name="page_sequence_at_top">true</xsl:with-param>
</xsl:apply-templates>
</xsl:for-each>
</xsl:element>
</xsl:template>
<xsl:template 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($xml_file_path)"/>
</xsl:template>
<xsl:template name="getPageSequenceOrientation">
<xsl:variable name="previous_orientation" select="preceding-sibling::*[local-name() = 'page_sequence'][@orientation][1]/@orientation"/>
<xsl:choose>
<xsl:when test="@orientation = 'landscape'">-<xsl:value-of select="@orientation"/></xsl:when>
<xsl:when test="$previous_orientation = 'landscape' and not(@orientation = 'portrait')">-<xsl:value-of select="$previous_orientation"/></xsl:when>
</xsl:choose>
</xsl:template>
<xsl:variable name="regex_standard_reference">([A-Z]{2,}(/[A-Z]{2,})* \d+(-\d+)*(:\d{4})?)</xsl:variable>
<xsl:variable name="tag_fo_inline_keep-together_within-line_open">###fo:inline keep-together_within-line###</xsl:variable>
<xsl:variable name="tag_fo_inline_keep-together_within-line_close">###/fo:inline keep-together_within-line###</xsl:variable>
<xsl:template match="text()" name="text">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'table']"><xsl:value-of select="."/></xsl:when>
<xsl:otherwise>
<xsl:variable name="text" select="java:replaceAll(java:java.lang.String.new(.),$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="$text"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="replace_fo_inline_tags">
<xsl:param name="tag_open"/>
<xsl:param name="tag_close"/>
<xsl:param name="text"/>
<xsl:choose>
<xsl:when test="contains($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, $tag_open)"/>
<xsl:choose>
<xsl:when test="local-name(..) = 'keep-together_within-line'"> <!-- prevent two nested <fo:inline keep-together.within-line="always"><fo:inline keep-together.within-line="always" -->
<xsl:value-of select="substring-before($text_after, $tag_close)"/>
</xsl:when>
<xsl:otherwise>
<fo:inline keep-together.within-line="always" role="SKIP">
<xsl:value-of select="substring-before($text_after, $tag_close)"/>
</fo:inline>
</xsl:otherwise>
</xsl:choose>
<!-- <xsl:text disable-output-escaping="yes"></fo:inline></xsl:text> -->
<xsl:call-template name="replace_fo_inline_tags">
<xsl:with-param name="tag_open" select="$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 match="*[local-name()='br']">
<xsl:value-of select="$linebreak"/>
</xsl:template>
<!-- keep-together for standard's name (ISO 12345:2020) -->
<xsl:template match="*[local-name() = 'keep-together_within-line']">
<xsl:param name="split_keep-within-line"/>
<!-- <fo:inline>split_keep-within-line='<xsl:value-of select="$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="$zero_width_space"/>
</xsl:when>
<xsl:otherwise>
<fo:inline keep-together.within-line="always" role="SKIP"><xsl:apply-templates/></fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<fo:inline keep-together.within-line="always" role="SKIP"><xsl:apply-templates/></fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ================================= -->
<!-- Preface boilerplate sections processing -->
<!-- ================================= -->
<xsl:template match="*[local-name()='copyright-statement']">
<fo:block xsl:use-attribute-sets="copyright-statement-style" role="SKIP">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- copyright-statement -->
<xsl:template match="*[local-name()='copyright-statement']//*[local-name()='title']">
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<fo:block role="H{$level}" xsl:use-attribute-sets="copyright-statement-title-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- copyright-statement//title -->
<xsl:template match="*[local-name()='copyright-statement']//*[local-name()='p']">
<fo:block xsl:use-attribute-sets="copyright-statement-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- copyright-statement//p -->
<xsl:template 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 match="*[local-name()='license-statement']//*[local-name()='title']">
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<fo:block role="H{$level}" xsl:use-attribute-sets="license-statement-title-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- license-statement/title -->
<xsl:template match="*[local-name()='license-statement']//*[local-name()='p']">
<fo:block xsl:use-attribute-sets="license-statement-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- license-statement/p -->
<xsl:template match="*[local-name()='legal-statement']">
<xsl:param name="isLegacy">false</xsl:param>
<fo:block xsl:use-attribute-sets="legal-statement-style">
<xsl:if test="$isLegacy = 'true'">
<xsl:attribute name="font-size">9pt</xsl:attribute>
</xsl:if>
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- legal-statement -->
<xsl:template match="*[local-name()='legal-statement']//*[local-name()='title']">
<!-- process in the template 'title' -->
<xsl:call-template name="title"/>
</xsl:template> <!-- legal-statement/title -->
<xsl:template 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="$margin"/>
</xsl:call-template>
</xsl:template> <!-- legal-statement/p -->
<xsl:template match="*[local-name()='feedback-statement']">
<fo:block xsl:use-attribute-sets="feedback-statement-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template> <!-- feedback-statement -->
<xsl:template match="*[local-name()='feedback-statement']//*[local-name()='title']">
<!-- process in the template 'title' -->
<xsl:call-template name="title"/>
</xsl:template>
<xsl:template match="*[local-name()='feedback-statement']//*[local-name()='p']">
<xsl:param name="margin"/>
<fo:block xsl:use-attribute-sets="feedback-statement-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ================================= -->
<!-- END Preface boilerplate sections processing -->
<!-- ================================= -->
<!-- add zero spaces into table cells text -->
<xsl:template match="*[local-name()='td']//text() | *[local-name()='th']//text() | *[local-name()='dt']//text() | *[local-name()='dd']//text()" priority="1">
<xsl:choose>
<xsl:when test="parent::*[local-name() = 'keep-together_within-line']">
<xsl:value-of select="."/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="addZeroWidthSpacesToTextNodes"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="addZeroWidthSpacesToTextNodes">
<xsl:variable name="text"><text><xsl:call-template name="text"/></text></xsl:variable>
<!-- <xsl:copy-of select="$text"/> -->
<xsl:for-each select="xalan:nodeset($text)/text/node()">
<xsl:choose>
<xsl:when test="self::text()"><xsl:call-template name="add-zero-spaces-java"/></xsl:when>
<xsl:otherwise><xsl:copy-of select="."/></xsl:otherwise> <!-- copy 'as-is' for <fo:inline keep-together.within-line="always" ... -->
</xsl:choose>
</xsl:for-each>
</xsl:template>
<!-- for table auto-layout algorithm -->
<xsl:param name="table_only_with_id"/> <!-- Example: 'table1' -->
<xsl:param name="table_only_with_ids"/> <!-- Example: 'table1 table2 table3 ' -->
<xsl:template match="*[local-name()='table']" priority="2">
<xsl:choose>
<xsl:when test="$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="$table_only_with_ids != ''"><fo:block/><!-- to prevent empty fo:block-container --></xsl:when>
<xsl:otherwise>
<xsl:call-template name="table"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="*[local-name()='table']" name="table">
<xsl:variable name="table-preamble">
<fo:block> </fo:block>
</xsl:variable>
<xsl:variable name="table">
<xsl:variable name="simple-table">
<xsl:if test="$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 -->
<!-- $namespace = 'iso' or -->
<xsl:apply-templates select="*[local-name()='name']"/> <!-- table's title rendered before table -->
<xsl:call-template name="table_name_fn_display"/>
<xsl:variable name="cols-count" select="count(xalan:nodeset($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="$margin-side"/>
</xsl:call-template>
<!-- display table's name before table for PAS inside block-container (2-columnn layout) -->
<xsl:variable name="table_width_default">100%</xsl:variable>
<xsl:variable name="table_width">
<!-- for centered table always 100% (@width will be set for middle/second cell of outer table) -->
<xsl:choose>
<xsl:when test="@width = 'full-page-width' or @width = 'text-width'">100%</xsl:when>
<xsl:when test="@width"><xsl:value-of select="@width"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$table_width_default"/></xsl:otherwise>
</xsl:choose>
</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) -->
<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="$table"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:otherwise>
<xsl:choose>
<xsl:when test="$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="$table"/>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="setBordersTableArray">
</xsl:template>
<xsl:template match="*[local-name()='table']/*[local-name() = 'name']">
<xsl:param name="continued"/>
<xsl:if test="normalize-space() != ''">
<fo:block xsl:use-attribute-sets="table-name-style" role="SKIP">
<xsl:call-template name="refine_table-name-style">
<xsl:with-param name="continued" select="$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 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 match="*[local-name()='table']/*[local-name() = 'source']" priority="2">
<xsl:call-template name="termsource"/>
</xsl:template>
<xsl:template 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 - $columns-with-colspan"/>
</xsl:template>
<xsl:template name="calculate-column-widths">
<xsl:param name="table"/>
<xsl:param name="cols-count"/>
<xsl:choose>
<xsl:when test="$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="$table"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ================================================== -->
<!-- Calculate column's width based on text string max widths -->
<!-- ================================================== -->
<xsl:template name="calculate-column-widths-proportional">
<xsl:param name="table"/>
<xsl:param name="cols-count"/>
<xsl:param name="curr-col" select="1"/>
<xsl:param name="width" select="0"/>
<!-- table=<xsl:copy-of select="$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 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 match="text()" mode="td_text">
<xsl:value-of select="translate(., $zero_width_space, ' ')"/><xsl:text> </xsl:text>
</xsl:template>
<xsl:template match="*[local-name()='termsource']" mode="td_text">
<xsl:value-of select="*[local-name()='origin']/@citeas"/>
</xsl:template>
<xsl:template match="*[local-name()='link']" mode="td_text">
<xsl:value-of select="@target"/>
</xsl:template>
<xsl:template match="*[local-name()='math']" mode="td_text" name="math_length">
<xsl:if test="$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($math_text, ' ', '#')"/><!-- mathml images as one 'word' without spaces -->
</xsl:if>
</xsl:template>
<!-- ================================= -->
<!-- END mode="td_text" -->
<!-- ================================= -->
<!-- ================================================== -->
<!-- END Calculate column's width based on text string max widths -->
<!-- ================================================== -->
<!-- ================================================== -->
<!-- Calculate column's width based on HTML4 algorithm -->
<!-- (https://www.w3.org/TR/REC-html40/appendix/notes.html#h-B.5.2) -->
<!-- ================================================== -->
<!-- INPUT: table with columns widths, generated by table_if.xsl -->
<xsl:template name="calculate-column-widths-autolayout-algorithm">
<xsl:param name="parent_table_page-width"/> <!-- for nested tables, in re-calculate step -->
<!-- via intermediate format -->
<!-- The algorithm uses two passes through the table data and scales linearly with the size of the table -->
<!-- In the first pass, line wrapping is disabled, and the user agent keeps track of the minimum and maximum width of each cell. -->
<!-- Since line wrap has been disabled, paragraphs are treated as long lines unless broken by BR elements. -->
<xsl:variable name="page_width">
<xsl:choose>
<xsl:when test="$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="$column_width"/>
</column>
</xsl:for-each>
</xsl:when>
<xsl:otherwise><unknown_case/></xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- calculate-column-widths-autolayout-algorithm -->
<xsl:template name="get-calculated-column-widths-autolayout-algorithm">
<!-- if nested 'dl' or 'table' -->
<xsl:variable name="parent_table_id" select="normalize-space(ancestor::*[local-name() = 'table' or local-name() = 'dl'][1]/@id)"/>
<parent_table_id><xsl:value-of select="$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 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 name="table-header-title">
<xsl:param name="cols-count"/>
<!-- row for title -->
<fo:table-row role="SKIP">
<fo:table-cell number-columns-spanned="{$cols-count}" border-left="1.5pt solid white" border-right="1.5pt solid white" border-top="1.5pt solid white" border-bottom="1.5pt solid black" role="SKIP">
<xsl:call-template name="refine_table-header-title-style"/>
<xsl:apply-templates select="ancestor::*[local-name()='table']/*[local-name()='name']">
<xsl:with-param name="continued">true</xsl:with-param>
</xsl:apply-templates>
<xsl:if test="not(ancestor::*[local-name()='table']/*[local-name()='name'])"> <!-- to prevent empty fo:table-cell in case of missing table's name -->
<fo:block role="SKIP"/>
</xsl:if>
</fo:table-cell>
</fo:table-row>
</xsl:template> <!-- table-header-title -->
<xsl:template name="refine_table-header-title-style">
</xsl:template> <!-- refine_table-header-title-style -->
<xsl:template match="*[local-name()='thead']" mode="process_tbody">
<fo:table-body>
<xsl:apply-templates/>
</fo:table-body>
</xsl:template>
<xsl:template match="*[local-name()='tfoot']">
<xsl:apply-templates/>
</xsl:template>
<xsl:template name="insertTableFooter">
<xsl:param name="cols-count"/>
<xsl:if test="../*[local-name()='tfoot']">
<fo:table-footer>
<xsl:apply-templates select="../*[local-name()='tfoot']"/>
</fo:table-footer>
</xsl:if>
</xsl:template>
<xsl:template name="insertTableFooterInSeparateTable">
<xsl:param name="table_attributes"/>
<xsl:param name="colwidths"/>
<xsl:param name="colgroup"/>
<xsl:variable name="isNoteOrFnExist" select="../*[local-name()='note'][not(@type = 'units')] or ../*[local-name()='example'] or ../*[local-name()='dl'] or ..//*[local-name()='fn'][local-name(..) != 'name'] or ../*[local-name()='source'] or ../*[local-name()='p']"/>
<xsl:variable name="isNoteOrFnExistShowAfterTable">
</xsl:variable>
<xsl:if test="$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="$tableWithNotesAndFootnotes"/>
</xsl:if>
</xsl:if>
</xsl:template> <!-- insertTableFooterInSeparateTable -->
<xsl:template match="*[local-name()='tbody']">
<xsl:variable name="cols-count">
<xsl:choose>
<xsl:when test="../*[local-name()='thead']">
<xsl:call-template name="calculate-columns-numbers">
<xsl:with-param name="table-row" select="../*[local-name()='thead']/*[local-name()='tr'][1]"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="calculate-columns-numbers">
<xsl:with-param name="table-row" select="./*[local-name()='tr'][1]"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:apply-templates select="../*[local-name()='thead']">
<xsl:with-param name="cols-count" select="$cols-count"/>
</xsl:apply-templates>
<xsl:call-template name="insertTableFooter">
<xsl:with-param name="cols-count" select="$cols-count"/>
</xsl:call-template>
<fo:table-body>
<xsl:apply-templates/>
</fo:table-body>
</xsl:template> <!-- tbody -->
<xsl:template match="/" mode="process_table-if">
<xsl:param name="table_or_dl">table</xsl:param>
<xsl:apply-templates mode="process_table-if">
<xsl:with-param name="table_or_dl" select="$table_or_dl"/>
</xsl:apply-templates>
</xsl:template>
<xsl:template 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="$is_dt">
<xsl:call-template name="insert_dt_cell"/>
</xsl:when>
<xsl:otherwise>
<xsl:call-template name="insert_dd_cell"/>
</xsl:otherwise>
</xsl:choose>
</fo:table-row>
</xsl:for-each>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</fo:table-body>
</xsl:template> <!-- process_table-if -->
<!-- ===================== -->
<!-- Table's row processing -->
<!-- ===================== -->
<!-- row in table header (thead) thead/tr -->
<xsl:template match="*[local-name()='thead']/*[local-name()='tr']" priority="2">
<fo:table-row xsl:use-attribute-sets="table-header-row-style">
<xsl:call-template name="refine_table-header-row-style"/>
<xsl:call-template name="setTableRowAttributes"/>
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<xsl:template name="setBorderUnderRow">
<xsl:variable name="border_under_row_" select="normalize-space(ancestor::*[local-name() = 'table'][1]/@border-under-row)"/>
<xsl:choose>
<xsl:when test="$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 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 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 name="setTableRowAttributes">
</xsl:template> <!-- setTableRowAttributes -->
<!-- ===================== -->
<!-- END Table's row processing -->
<!-- ===================== -->
<!-- cell in table header row -->
<xsl:template 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:copy-of select="@keep-together.within-line"/>
<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/>
<xsl:if test="$isGenerateTableIF = 'false' and count(node()) = 0"> </xsl:if>
</fo:block>
</fo:table-cell>
</xsl:template> <!-- cell in table header row - 'th' -->
<xsl:template 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 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 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:copy-of select="@keep-together.within-line"/>
<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"/> -->
<xsl:if test="$isGenerateTableIF = 'false' and count(node()) = 0"> </xsl:if>
</fo:block>
</fo:table-cell>
</xsl:template> <!-- td -->
<xsl:template match="*[local-name()='table']/*[local-name()='note' or local-name() = 'example']" priority="2">
<fo:block xsl:use-attribute-sets="table-note-style">
<xsl:copy-of select="@id"/>
<xsl:call-template name="refine_table-note-style"/>
<!-- Table's note/example name (NOTE, for example) -->
<fo:inline xsl:use-attribute-sets="table-note-name-style">
<xsl:call-template name="refine_table-note-name-style"/>
<xsl:apply-templates select="*[local-name() = 'name']"/>
</fo:inline>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</xsl:template> <!-- table/note -->
<xsl:template match="*[local-name()='table']/*[local-name()='note' or local-name()='example']/*[local-name()='p']" priority="2">
<xsl:apply-templates/>
</xsl:template>
<!-- ===================== -->
<!-- Footnotes processing -->
<!-- ===================== -->
<!--
<fn reference="1">
<p id="_8e5cf917-f75a-4a49-b0aa-1714cb6cf954">Formerly denoted as 15 % (m/m).</p>
</fn>
-->
<!-- footnotes in text (title, bibliography, main body, table's, figure's names), not for tables, figures -->
<xsl:template match="*[local-name() = 'fn'][not(ancestor::*[(local-name() = 'table' or local-name() = 'figure')] and not(ancestor::*[local-name() = 'name']))]" priority="2" name="fn">
<!-- list of footnotes to calculate actual footnotes number -->
<xsl:variable name="p_fn_">
<xsl:call-template name="get_fn_list"/>
<!-- <xsl:choose>
<xsl:when test="$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, '_', $current_fn_number)"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="footnote_inline">
<fo:inline role="Reference">
<xsl:variable name="fn_styles">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'bibitem']">
<fn_styles xsl:use-attribute-sets="bibitem-note-fn-style">
</fn_styles>
</xsl:when>
<xsl:otherwise>
<fn_styles xsl:use-attribute-sets="fn-num-style">
</fn_styles>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($fn_styles)/fn_styles/@*">
<xsl:copy-of select="."/>
</xsl:for-each>
<xsl:if test="following-sibling::node()[normalize-space() != ''][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}"> <!-- note: role="Lbl" removed in https://github.com/metanorma/mn2pdf/issues/291 -->
<fo:inline role="Lbl"> <!-- need for https://github.com/metanorma/metanorma-iso/issues/1003 -->
<xsl:copy-of select="$current_fn_number_text"/>
</fo:inline>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</fo:inline>
</xsl:variable>
<xsl:choose>
<xsl:when test="normalize-space(@skip_footnote_body) = 'true'">
<xsl:copy-of select="$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 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 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 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 = $reference])"> <!-- only unique reference puts in note-->
<fo:block xsl:use-attribute-sets="table-fn-style">
<xsl:call-template name="refine_table-fn-style"/>
<fo:inline id="{@id}" xsl:use-attribute-sets="table-fn-number-style">
<xsl:call-template name="refine_table-fn-number-style"/>
<xsl:value-of select="@reference"/>
<!-- commented https://github.com/metanorma/isodoc/issues/614 -->
<!-- <xsl:if test="$namespace = 'itu'">
<xsl:text>)</xsl:text>
</xsl:if> -->
</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> <!-- table_fn_display -->
<xsl:template name="create_fn">
<fn reference="{@reference}" id="{@reference}_{ancestor::*[@id][1]/@id}">
<xsl:if test="ancestor::*[local-name()='table'][1]/@id"> <!-- for footnotes in tables -->
<xsl:attribute name="id">
<xsl:value-of select="concat(@reference, '_', ancestor::*[local-name()='table'][1]/@id)"/>
</xsl:attribute>
</xsl:if>
<xsl:attribute name="id">
<xsl:value-of select="@reference"/>
<xsl:text>_</xsl:text>
<xsl:value-of select="ancestor::*[local-name()='table'][1]/@id"/>
</xsl:attribute>
<xsl:apply-templates/>
</fn>
</xsl:template>
<!-- footnotes for table's name rendering -->
<xsl:template 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 name="fn_display_figure"> <!-- figure_fn_display -->
<!-- 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 -->
<!-- added for https://github.com/metanorma/isodoc/issues/607 -->
<!-- figure's footnote label -->
<xsl:template match="*[local-name() = 'figure']/*[local-name() = 'dl'][@key = 'true']/*[local-name() = 'dt']/ *[local-name() = 'p'][count(node()[normalize-space() != '']) = 1]/*[local-name() = 'sup']" priority="3">
<xsl:variable name="key_iso">
</xsl:variable>
<xsl:if test="normalize-space($key_iso) = 'true'">
<xsl:attribute name="font-size">10pt</xsl:attribute>
</xsl:if>
<fo:inline xsl:use-attribute-sets="figure-fn-number-style"> <!-- id="{@id}" -->
<!-- <xsl:value-of select="@reference"/> -->
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<!-- ============================ -->
<!-- END: figure's footnotes rendering -->
<!-- ============================ -->
<!-- fn reference in the text rendering (for instance, 'some text 1) some text' ) -->
<xsl:template match="*[local-name()='fn']">
<fo:inline xsl:use-attribute-sets="fn-reference-style">
<xsl:call-template name="refine_fn-reference-style"/>
<fo:basic-link internal-destination="{@reference}_{ancestor::*[@id][1]/@id}" fox:alt-text="footnote {@reference}"> <!-- @reference | ancestor::*[local-name()='clause'][1]/@id-->
<xsl:if test="ancestor::*[local-name()='table'][1]/@id"> <!-- for footnotes in tables -->
<xsl:attribute name="internal-destination">
<xsl:value-of select="concat(@reference, '_', ancestor::*[local-name()='table'][1]/@id)"/>
</xsl:attribute>
</xsl:if>
<xsl:attribute name="internal-destination">
<xsl:value-of select="@reference"/><xsl:text>_</xsl:text>
<xsl:value-of select="ancestor::*[local-name()='table'][1]/@id"/>
</xsl:attribute>
<xsl:value-of select="@reference"/>
<!-- commented, https://github.com/metanorma/isodoc/issues/614 -->
<!-- <xsl:if test="$namespace = 'jis'">
<fo:inline font-weight="normal">)</fo:inline>
</xsl:if> -->
</fo:basic-link>
</fo:inline>
</xsl:template>
<xsl:template match="*[local-name()='fn']/text()[normalize-space() != '']">
<fo:inline role="SKIP"><xsl:value-of select="."/></fo:inline>
</xsl:template>
<xsl:template 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 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="$table_only_with_ids != ''"><fo:block/><!-- to prevent empty fo:block-container --></xsl:when>
<xsl:otherwise>
<xsl:call-template name="dl"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="*[local-name()='dl']" name="dl">
<xsl:variable name="isAdded" select="@added"/>
<xsl:variable name="isDeleted" select="@deleted"/>
<!-- <dl><xsl:copy-of select="."/></dl> -->
<fo:block-container xsl:use-attribute-sets="dl-block-style" role="SKIP">
<xsl:call-template name="setBlockSpanAll"/>
<xsl:if test="not(ancestor::*[local-name() = 'quote'])">
<xsl:attribute name="margin-left">0mm</xsl:attribute>
</xsl:if>
<xsl:if test="ancestor::*[local-name() = 'sourcecode']">
<!-- set font-size as sourcecode font-size -->
<xsl:variable name="sourcecode_attributes">
<xsl:call-template name="get_sourcecode_attributes"/>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($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 -->
<!-- Presentation XML contains 'Key' caption, https://github.com/metanorma/isodoc/issues/607 -->
<xsl:if test="not(preceding-sibling::*[1][local-name() = 'p' and @keep-with-next])"> <!-- for old Presentation XML -->
<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="$title-key"/>
</fo:block>
</xsl:if>
</xsl:when> <!-- END: definition list in a figure -->
</xsl:choose>
<!-- a few components -->
<xsl:if test="$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="$isGenerateTableIF = 'true'"> <!-- process nested 'dl' -->
<xsl:apply-templates select="*[local-name() = 'dd']/*[local-name() = 'dl']"/>
</xsl:if>
</xsl:template> <!-- END: dl -->
<!-- caption for figure key and another caption, https://github.com/metanorma/isodoc/issues/607 -->
<xsl:template match="*[local-name() = 'figure']/*[local-name() = 'p'][@keep-with-next = 'true' and *[local-name() = 'strong']]" priority="3">
<fo:block text-align="left" margin-bottom="12pt" keep-with-next="always">
<xsl:call-template name="refine_figure_key_style"/>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template name="refine_dl_formula_where_style">
</xsl:template> <!-- refine_dl_formula_where_style -->
<xsl:template name="refine_figure_key_style">
</xsl:template> <!-- refine_figure_key_style -->
<xsl:template name="refine_multicomponent_style">
<xsl:variable name="parent" select="local-name(..)"/>
</xsl:template> <!-- refine_multicomponent_style -->
<xsl:template name="refine_multicomponent_block_style">
<xsl:variable name="parent" select="local-name(..)"/>
</xsl:template> <!-- refine_multicomponent_block_style -->
<!-- ignore 'p' with 'where' in formula, before 'dl' -->
<xsl:template match="*[local-name() = 'formula']/*[local-name() = 'p' and @keep-with-next = 'true' and following-sibling::*[1][local-name() = 'dl']]"/>
<xsl:template match="*[local-name() = 'dl']/*[local-name() = 'name']">
<xsl:param name="process">false</xsl:param>
<xsl:if test="$process = 'true'">
<fo:block xsl:use-attribute-sets="dl-name-style">
<xsl:apply-templates/>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template 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 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 $divider)})"/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:template>
<xsl:template name="getMaxLength_dt">
<xsl:variable name="lengths">
<xsl:for-each select="*[local-name()='dt']">
<xsl:variable name="maintext_length" select="string-length(normalize-space(.))"/>
<xsl:variable name="attributes">
<xsl:for-each select=".//@open"><xsl:value-of select="."/></xsl:for-each>
<xsl:for-each select=".//@close"><xsl:value-of select="."/></xsl:for-each>
</xsl:variable>
<length><xsl:value-of select="string-length(normalize-space(.)) + string-length($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="$maxLength"/>
</xsl:template>
<!-- note in definition list: dl/note -->
<!-- renders in the 2-column spanned table row -->
<xsl:template match="*[local-name()='dl']/*[local-name()='note']" priority="2">
<xsl:param name="key_iso"/>
<!-- <tr>
<td>NOTE</td>
<td>
<xsl:apply-templates />
</td>
</tr>
-->
<!-- OLD Variant -->
<!-- <fo:table-row>
<fo:table-cell>
<fo:block margin-top="6pt">
<xsl:if test="normalize-space($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 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 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:if test="not(following-sibling::ogc:dt) or ancestor::ogc:sourcecode"> <!-- last item -->
<xsl:attribute name="min-height">3mm</xsl:attribute>
</xsl:if>
<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="$split_keep-within-line"/>
</xsl:call-template>
</xsl:for-each>
</fo:table-row>
</xsl:template> <!-- END: dt -->
<xsl:template name="insert_dt_cell">
<xsl:param name="key_iso"/>
<xsl:param name="split_keep-within-line"/>
<fo:table-cell xsl:use-attribute-sets="dt-cell-style">
<xsl:if test="$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:attribute name="padding-left">6mm</xsl:attribute>
<!-- <xsl:attribute name="padding-left">6.5mm</xsl:attribute> -->
</xsl:if>
<xsl:call-template name="refine_dt-cell-style"/>
<fo:block xsl:use-attribute-sets="dt-block-style" role="SKIP">
<xsl:choose>
<xsl:when test="$isGenerateTableIF = 'true'">
<xsl:copy-of select="@id"/>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="@id"/>
</xsl:otherwise>
</xsl:choose>
<xsl:if test="normalize-space($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="$hair_space"/> -->
</fo:block>
</fo:table-cell>
</xsl:template> <!-- insert_dt_cell -->
<xsl:template name="insert_dd_cell">
<xsl:param name="split_keep-within-line"/>
<fo:table-cell xsl:use-attribute-sets="dd-cell-style">
<xsl:if test="$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="$hair_space"/> -->
</fo:block>
</fo:table-cell>
</xsl:template> <!-- insert_dd_cell -->
<!-- END Definition's term -->
<xsl:template match="*[local-name()='dd']" mode="dl"/>
<xsl:template match="*[local-name()='dd']" mode="dl_process">
<xsl:apply-templates/>
</xsl:template>
<xsl:template match="*[local-name()='dd']">
<xsl:param name="process">false</xsl:param>
<xsl:param name="split_keep-within-line"/>
<xsl:if test="$process = 'true'">
<xsl:apply-templates select="@language"/>
<xsl:apply-templates>
<xsl:with-param name="split_keep-within-line" select="$split_keep-within-line"/>
</xsl:apply-templates>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name()='dd']/*" mode="inline">
<xsl:variable name="is_inline_element_after_where">
<xsl:if test="(local-name() = 'p') and not(preceding-sibling::node()[normalize-space() != ''])">true</xsl:if>
</xsl:variable>
<xsl:choose>
<xsl:when test="$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 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 match="*[local-name()='dd']" mode="dl_if"/>
<xsl:template match="*" mode="dl_if">
<xsl:copy-of select="."/>
</xsl:template>
<xsl:template match="*[local-name() = 'p']" mode="dl_if">
<xsl:param name="indent"/>
<p>
<xsl:copy-of select="@*"/>
<xsl:value-of select="$indent"/>
<xsl:copy-of select="node()"/>
</p>
</xsl:template>
<xsl:template match="*[local-name() = 'ul' or local-name() = 'ol']" mode="dl_if">
<xsl:variable name="list_rendered_">
<xsl:apply-templates select="."/>
</xsl:variable>
<xsl:variable name="list_rendered" select="xalan:nodeset($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 match="*[local-name() = 'li']" mode="dl_if">
<xsl:param name="indent"/>
<xsl:apply-templates mode="dl_if">
<xsl:with-param name="indent" select="$indent"/>
</xsl:apply-templates>
</xsl:template>
<xsl:template match="@provisional-distance-between-starts" mode="dl_if">
<xsl:variable name="value" select="round(substring-before(.,'mm'))"/>
<!-- emulate left indent for list item -->
<xsl:call-template name="repeat">
<xsl:with-param name="char" select="'x'"/>
<xsl:with-param name="count" select="$value"/>
</xsl:call-template>
</xsl:template>
<xsl:template 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 match="*[local-name()='dd']" mode="dl_if_nested"/>
<!-- ===================== -->
<!-- END Definition List -->
<!-- ===================== -->
<!-- default: ignore title in sections/p -->
<xsl:template match="*[local-name() = 'sections']/*[local-name() = 'p'][starts-with(@class, 'zzSTDTitle')]" priority="3"/>
<!-- ========================= -->
<!-- Rich text formatting -->
<!-- ========================= -->
<xsl:template 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 name="refine_italic_style">
</xsl:template>
<xsl:template 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="$split_keep-within-line"/>
</xsl:apply-templates>
</fo:inline>
</xsl:template>
<xsl:template name="refine_strong_style">
<xsl:if test="ancestor::*['preferred']">
<xsl:attribute name="role">SKIP</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name()='padding']">
<fo:inline padding-right="{@value}"> </fo:inline>
</xsl:template>
<xsl:template match="*[local-name()='sup']">
<fo:inline font-size="80%" vertical-align="super">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template match="*[local-name()='sub']">
<fo:inline font-size="80%" vertical-align="sub">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template match="*[local-name()='tt']">
<fo:inline xsl:use-attribute-sets="tt-style">
<xsl:variable name="_font-size">
<!-- inherit -->
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'table']">8.5</xsl:when>
<xsl:otherwise>9.5</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="font-size" select="normalize-space($_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 name="regex_url_start">^(http://|https://|www\.)?(.*)</xsl:variable>
<xsl:template 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 match="*[local-name()='underline']">
<fo:inline text-decoration="underline">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<!-- ================= -->
<!-- Added,deleted text -->
<!-- ================= -->
<xsl:template 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 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="$value"/>
</text>
</svg>
</fo:instream-foreign-object>
</xsl:template>
<xsl:template match="*[local-name()='del']">
<fo:inline xsl:use-attribute-sets="del-style">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<!-- ================= -->
<!-- END Added,deleted text -->
<!-- ================= -->
<!-- highlight text -->
<xsl:template match="*[local-name()='hi']">
<fo:inline background-color="yellow">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template match="text()[ancestor::*[local-name()='smallcap']]" name="smallcaps">
<xsl:param name="txt"/>
<!-- <xsl:variable name="text" select="normalize-space(.)"/> --> <!-- https://github.com/metanorma/metanorma-iso/issues/1115 -->
<xsl:variable name="text">
<xsl:choose>
<xsl:when test="$txt != ''">
<xsl:value-of select="$txt"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="ratio_">
0.75
</xsl:variable>
<xsl:variable name="ratio" select="number(normalize-space($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 - $curr_pos]"> <!-- [self::fo:inline] -->
<xsl:copy-of select="./node()"/>
</xsl:for-each>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:if>
</fo:inline>
</xsl:template>
<xsl:template name="recursiveSmallCaps">
<xsl:param name="text"/>
<xsl:param name="ratio">0.75</xsl:param>
<xsl:variable name="char" select="substring($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 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 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 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 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 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 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 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, $separator)"/>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- split string 'text' by 'separator', enclosing in formatting tags -->
<xsl:template name="tokenize_with_tags">
<xsl:param name="tags"/>
<xsl:param name="text"/>
<xsl:param name="separator" select="' '"/>
<xsl:choose>
<xsl:when test="not(contains($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 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 name="max_length">
<xsl:param name="words"/>
<xsl:for-each select="$words//word">
<xsl:sort select="." data-type="number" order="descending"/>
<xsl:if test="position()=1">
<xsl:value-of select="."/>
</xsl:if>
</xsl:for-each>
</xsl:template>
<xsl:template name="add-zero-spaces-java">
<xsl:param name="text" select="."/>
<!-- add zero-width space (#x200B) after dot with next non-digit -->
<xsl:variable name="text1" select="java:replaceAll(java:java.lang.String.new($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="$text11"/>
</xsl:template>
<xsl:template name="add-zero-spaces-link-java">
<xsl:param name="text" select="."/>
<xsl:value-of select="java:replaceAll(java:java.lang.String.new($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 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 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="$text"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- Table normalization (colspan,rowspan processing for adding TDs) for column width calculation -->
<xsl:template name="getSimpleTable">
<xsl:param name="id"/>
<!-- <test0>
<xsl:copy-of select="."/>
</test0> -->
<xsl:variable name="simple-table">
<!-- Step 0. replace <br/> to <p>...</p> -->
<xsl:variable name="table_without_br">
<xsl:apply-templates mode="table-without-br"/>
</xsl:variable>
<!-- Step 1. colspan processing -->
<xsl:variable name="simple-table-colspan">
<tbody>
<xsl:apply-templates select="xalan:nodeset($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 match="@*|node()" mode="table-without-br">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="table-without-br"/>
</xsl:copy>
</xsl:template>
<xsl:template 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 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 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 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 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 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($text),' {2,}',' ')"/>
</xsl:template>
<xsl:template match="*[local-name()='th' or local-name()='td']//*[local-name() = 'ol' or local-name() = 'ul']" mode="table-without-br">
<xsl:apply-templates mode="table-without-br"/>
</xsl:template>
<xsl:template match="*[local-name()='th' or local-name()='td']//*[local-name() = 'li']" mode="table-without-br">
<xsl:apply-templates mode="table-without-br"/>
</xsl:template>
<!-- mode="table-without-br" -->
<!-- ================================== -->
<!-- END: Step 0. replace <br/> to <p>...</p> -->
<!-- ================================== -->
<!-- ===================== -->
<!-- 1. mode "simple-table-colspan"
1.1. remove thead, tbody, fn
1.2. rename th -> td
1.3. repeating N td with colspan=N
1.4. remove namespace
1.5. remove @colspan attribute
1.6. add @divide attribute for divide text width in further processing
-->
<!-- ===================== -->
<xsl:template match="*[local-name()='thead'] | *[local-name()='tbody']" mode="simple-table-colspan">
<xsl:apply-templates mode="simple-table-colspan"/>
</xsl:template>
<xsl:template match="*[local-name()='fn']" mode="simple-table-colspan"/>
<xsl:template match="*[local-name()='th'] | *[local-name()='td']" mode="simple-table-colspan">
<xsl:choose>
<xsl:when test="@colspan">
<xsl:variable name="td">
<xsl:element name="{local-name()}">
<xsl:attribute name="divide"><xsl:value-of select="@colspan"/></xsl:attribute>
<xsl:if test="local-name()='th'">
<xsl:attribute name="font-weight">bold</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="@*" mode="simple-table-colspan"/>
<xsl:apply-templates mode="simple-table-colspan"/>
</xsl:element>
</xsl:variable>
<xsl:call-template name="repeatNode">
<xsl:with-param name="count" select="@colspan"/>
<xsl:with-param name="node" select="$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 match="@colspan" mode="simple-table-colspan"/>
<xsl:template 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 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 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 match="@*|node()" mode="simple-table-rowspan">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="simple-table-rowspan"/>
</xsl:copy>
</xsl:template>
<xsl:template 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 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="$newRow"/>
</xsl:apply-templates>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- End mode simple-table-rowspan -->
<!-- Step 3: add id for each cell -->
<!-- mode: simple-table-id -->
<xsl:template match="/" mode="simple-table-id">
<xsl:param name="id"/>
<xsl:variable name="id_prefixed" select="concat('table_if_',$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="$id_prefixed"/>
</xsl:apply-templates>
</xsl:template>
<xsl:template match="@*|node()" mode="simple-table-id">
<xsl:param name="id"/>
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="simple-table-id">
<xsl:with-param name="id" select="$id"/>
</xsl:apply-templates>
</xsl:copy>
</xsl:template>
<xsl:template 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 name="font_main_root_style">
<root-style xsl:use-attribute-sets="root-style">
</root-style>
</xsl:variable>
<xsl:variable name="font_main_root_style_font_family" select="xalan:nodeset($font_main_root_style)/root-style/@font-family"/>
<xsl:variable name="font_main">
<xsl:choose>
<xsl:when test="contains($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 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($td_text)//*[local-name() = 'word'][normalize-space() != ''][*]">
<xsl:copy-of select="."/>
</xsl:for-each>
</xsl:variable>
<!-- <xsl:if test="$debug = 'true'">
<redirect:write file="{generate-id()}_words_with_width_sorted.xml">
<td_text><xsl:copy-of select="$td_text"/></td_text>
<words_with_width><xsl:copy-of select="$words_with_width"/></words_with_width>
<xsl:copy-of select="$words_with_width_sorted"/>
</redirect:write>
</xsl:if> -->
<xsl:variable name="words">
<xsl:for-each select=".//*[local-name() = 'image' or local-name() = 'stem']">
<word>
<xsl:copy-of select="."/>
</word>
</xsl:for-each>
<xsl:for-each select="xalan:nodeset($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,'_',$divide)"/>
</xsl:attribute>
<xsl:copy-of select="node()"/>
</xsl:copy>
</xsl:for-each>
</xsl:if>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name()='th' or local-name()='td']/*[local-name() = 'p']//*" mode="simple-table-noid">
<xsl:copy>
<xsl:choose>
<xsl:when test="$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 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 match="*[local-name() = 'stem' or local-name() = 'image']" mode="td_text_with_formatting"/>
<xsl:template 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="$formatting_tags"/>
</xsl:call-template>
</word>
</xsl:template>
<xsl:template match="*[local-name() != 'keep-together_within-line']/text()" mode="td_text_with_formatting">
<xsl:variable name="td_text" select="."/>
<xsl:variable name="string_with_added_zerospaces">
<xsl:call-template name="add-zero-spaces-java">
<xsl:with-param name="text" select="$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 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 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>
<xsl:if test="ancestor::*[local-name() = 'font_en_vertical']"><tag>font_en_vertical</tag></xsl:if>
</tags>
</xsl:template>
<!-- =============================== -->
<!-- END mode="td_text_with_formatting" -->
<!-- =============================== -->
<xsl:template 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="$language"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="getLang_fromCurrentNode">
<xsl:variable name="language_current" select="normalize-space(.//*[local-name()='bibdata']//*[local-name()='language'][@current = 'true'])"/>
<xsl:variable name="language">
<xsl:choose>
<xsl:when test="$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 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 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 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="$mathml_content"/>
</xsl:call-template>
</fo:inline>
</xsl:template>
<xsl:template name="getMathml_comment_text">
<xsl:variable name="comment_text_following" select="following-sibling::node()[1][self::comment()]"/>
<xsl:variable name="comment_text_">
<xsl:choose>
<xsl:when test="normalize-space($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 match="*[local-name() = 'asciimath']">
<xsl:param name="process" select="'false'"/>
<xsl:if test="$process = 'true'">
<xsl:apply-templates/>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'latexmath']"/>
<xsl:template name="getMathml_asciimath_text">
<xsl:variable name="asciimath" select="../*[local-name() = 'asciimath']"/>
<xsl:variable name="latexmath">
</xsl:variable>
<xsl:variable name="asciimath_text_following">
<xsl:choose>
<xsl:when test="normalize-space($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 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 name="refine_mathml_insteam_object_style">
</xsl:template> <!-- refine_mathml_insteam_object_style -->
<xsl:template 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 match="text()" mode="mathml_actual_text">
<xsl:value-of select="normalize-space()"/>
</xsl:template>
<xsl:template match="@*|node()" mode="mathml">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="mathml"/>
</xsl:copy>
</xsl:template>
<xsl:template 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(.),'(^ )|( $)',' ')"/>
</xsl:copy>
</xsl:template>
<!-- <xsl:template match="mathml:mi[. = ',' and not(following-sibling::*[1][local-name() = 'mtext' and text() = ' '])]" mode="mathml">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="mathml"/>
</xsl:copy>
<xsl:choose>
if in msub, then don't add space
<xsl:when test="ancestor::mathml:mrow[parent::mathml:msub and preceding-sibling::*[1][self::mathml:mrow]]"></xsl:when>
if next char in digit, don't add space
<xsl:when test="translate(substring(following-sibling::*[1]/text(),1,1),'0123456789','') = ''"></xsl:when>
<xsl:otherwise>
<mathml:mspace width="0.5ex"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template> -->
<xsl:template match="mathml:math/*[local-name()='unit']" mode="mathml"/>
<xsl:template match="mathml:math/*[local-name()='prefix']" mode="mathml"/>
<xsl:template match="mathml:math/*[local-name()='dimension']" mode="mathml"/>
<xsl:template match="mathml:math/*[local-name()='quantity']" mode="mathml"/>
<!-- patch: slash in the mtd wrong rendering -->
<xsl:template match="mathml:mtd/mathml:mo/text()[. = '/']" mode="mathml">
<xsl:value-of select="."/><xsl:value-of select="$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 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 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 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 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 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>
<xsl:template match="@*|node()" mode="mathml_linebreak">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="mathml_linebreak"/>
</xsl:copy>
</xsl:template>
<!-- split math into two math -->
<xsl:template match="mathml:mo[@linebreak] | mathml:mspace[@linebreak]" mode="mathml_linebreak">
<xsl:variable name="math_elements_tree_">
<xsl:for-each select="ancestor::*[ancestor-or-self::mathml:math]">
<element pos="{position()}">
<xsl:copy-of select="@*[local-name() != 'id']"/>
<xsl:value-of select="name()"/>
</element>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="math_elements_tree" select="xalan:nodeset($math_elements_tree_)"/>
<xsl:call-template name="insertClosingElements">
<xsl:with-param name="tree" select="$math_elements_tree"/>
</xsl:call-template>
<xsl:element name="br" namespace="{$namespace_full}"/>
<xsl:call-template name="insertOpeningElements">
<xsl:with-param name="tree" select="$math_elements_tree"/>
<xsl:with-param name="xmlns">http://www.w3.org/1998/Math/MathML</xsl:with-param>
<xsl:with-param name="add_continue">false</xsl:with-param>
</xsl:call-template>
</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 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 match="*[local-name()='localityStack']"/>
<xsl:variable name="pdfAttachmentsList_">
<xsl:for-each select="//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'attachment']">
<attachment filename="{@name}"/>
</xsl:for-each>
<xsl:if test="not(//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'attachment'])">
<xsl:for-each select="//*[local-name() = 'bibitem'][@hidden = 'true'][*[local-name() = 'uri'][@type = 'attachment']]">
<xsl:variable name="attachment_path" select="*[local-name() = 'uri'][@type = 'attachment']"/>
<attachment filename="{$attachment_path}"/>
</xsl:for-each>
</xsl:if>
</xsl:variable>
<xsl:variable name="pdfAttachmentsList" select="xalan:nodeset($pdfAttachmentsList_)"/>
<xsl:template match="*[local-name()='link']" name="link">
<xsl:variable name="target_normalized" select="translate(@target, '\', '/')"/>
<xsl:variable name="target_attachment_name" select="substring-after($target_normalized, '_attachments/')"/>
<xsl:variable name="isLinkToEmbeddedFile" select="normalize-space(@attachment = 'true' and $pdfAttachmentsList//attachment[@filename = current()/@target])"/>
<xsl:variable name="target">
<xsl:choose>
<xsl:when test="@updatetype = 'true'">
<xsl:value-of select="concat(normalize-space(@target), '.pdf')"/>
</xsl:when>
<!-- link to the PDF attachment -->
<xsl:when test="$isLinkToEmbeddedFile = 'true'">
<xsl:variable name="target_file" select="java:org.metanorma.fop.Util.getFilenameFromPath(@target)"/>
<xsl:value-of select="concat('url(embedded-file:', $target_file, ')')"/>
</xsl:when>
<!-- <xsl:when test="starts-with($target_normalized, '_') and contains($target_normalized, '_attachments/') and $pdfAttachmentsList//attachment[@filename = $target_attachment_name]">
<xsl:value-of select="concat('url(embedded-file:', $target_attachment_name, ')')"/>
</xsl:when>
<xsl:when test="contains(@target, concat('_', $inputxml_filename_prefix, '_attachments'))">
<xsl:variable name="target_" select="translate(@target, '\', '/')"/>
<xsl:variable name="target__" select="substring-after($target_, concat('_', $inputxml_filename_prefix, '_attachments', '/'))"/>
<xsl:value-of select="concat('url(embedded-file:', $target__, ')')"/>
</xsl:when> -->
<xsl:otherwise>
<xsl:value-of select="normalize-space(@target)"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="target_text">
<xsl:choose>
<xsl:when test="starts-with(normalize-space(@target), 'mailto:')">
<xsl:value-of select="normalize-space(substring-after(@target, 'mailto:'))"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="normalize-space(@target)"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<fo:inline xsl:use-attribute-sets="link-style">
<xsl:if test="starts-with(normalize-space(@target), 'mailto:') and not(ancestor::*[local-name() = 'td'])">
<xsl:attribute name="keep-together.within-line">always</xsl:attribute>
</xsl:if>
<xsl:if test="$isLinkToEmbeddedFile = 'true'">
<xsl:attribute name="color">inherit</xsl:attribute>
<xsl:attribute name="text-decoration">none</xsl:attribute>
</xsl:if>
<xsl:call-template name="refine_link-style"/>
<xsl:choose>
<xsl:when test="$target_text = ''">
<xsl:apply-templates/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="alt_text">
<xsl:call-template name="getAltText"/>
</xsl:variable>
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link external-destination="{$target}" fox:alt-text="{$alt_text}">
<xsl:if test="$isLinkToEmbeddedFile = 'true'">
<xsl:attribute name="role">Annot</xsl:attribute>
</xsl:if>
<xsl:choose>
<xsl:when test="normalize-space(.) = ''">
<xsl:call-template name="add-zero-spaces-link-java">
<xsl:with-param name="text" select="$target_text"/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<!-- output text from <link>text</link> -->
<xsl:choose>
<xsl:when test="starts-with(., 'http://') or starts-with(., 'https://') or starts-with(., 'www.')">
<xsl:call-template name="add-zero-spaces-link-java">
<xsl:with-param name="text" select="."/>
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</fo:basic-link>
<xsl:if test="$isLinkToEmbeddedFile = 'true'">
<!-- reserve space at right for PaperClip icon -->
<fo:inline keep-with-previous.within-line="always"> </fo:inline>
</xsl:if>
</xsl:with-param>
</xsl:call-template>
</xsl:otherwise>
</xsl:choose>
</fo:inline>
</xsl:template> <!-- link -->
<xsl:template name="getAltText">
<xsl:choose>
<xsl:when test="normalize-space(.) = ''"><xsl:value-of select="@target"/></xsl:when>
<xsl:otherwise><xsl:value-of select="normalize-space(translate(normalize-space(), ' —', ' -'))"/></xsl:otherwise>
<!-- <xsl:otherwise><xsl:value-of select="@target"/></xsl:otherwise> -->
</xsl:choose>
</xsl:template>
<!-- ======================== -->
<!-- Appendix processing -->
<!-- ======================== -->
<xsl:template 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 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 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 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="{normalize-space()}"><<xsl:apply-templates/>></fo:basic-link></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template 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">
<xsl:if test="not(preceding-sibling::*[local-name() = 'annotation'])">
<xsl:attribute name="space-before">6pt</xsl:attribute>
</xsl:if>
<fo:inline>
<xsl:apply-templates>
<xsl:with-param name="callout" select="concat('<', $callout, '> ')"/>
</xsl:apply-templates>
</fo:inline>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'annotation']/*[local-name() = 'p']">
<xsl:param name="callout"/>
<fo:inline id="{@id}">
<!-- for first p in annotation, put <x> -->
<xsl:if test="not(preceding-sibling::*[local-name() = 'p'])"><xsl:value-of select="$callout"/></xsl:if>
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template match="*[local-name() = 'xref']">
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<xsl:variable name="alt_text">
<xsl:call-template name="getAltText"/>
</xsl:variable>
<fo:basic-link internal-destination="{@target}" fox:alt-text="{$alt_text}" xsl:use-attribute-sets="xref-style">
<xsl:if test="string-length(normalize-space()) < 30 and not(contains(normalize-space(), 'http://')) and not(contains(normalize-space(), 'https://')) and not(ancestor::*[local-name() = 'table' or local-name() = 'dl'])">
<xsl:attribute name="keep-together.within-line">always</xsl:attribute>
</xsl:if>
<xsl:if test="parent::*[local-name() = 'add']">
<xsl:call-template name="append_add-style"/>
</xsl:if>
<xsl:apply-templates/>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</xsl:template>
<!-- command between two xref points to non-standard bibitem -->
<xsl:template match="text()[. = ','][preceding-sibling::node()[1][local-name() = 'sup'][*[local-name() = 'xref'][@type = 'footnote']] and following-sibling::node()[1][local-name() = 'sup'][*[local-name() = 'xref'][@type = 'footnote']]]">
<xsl:value-of select="."/>
</xsl:template>
<!-- ====== -->
<!-- formula -->
<!-- ====== -->
<xsl:template match="*[local-name() = 'formula']" name="formula">
<fo:block-container margin-left="0mm" role="SKIP">
<xsl:if test="parent::*[local-name() = 'note']">
<xsl:attribute name="margin-left">
<xsl:choose>
<xsl:when test="not(ancestor::*[local-name() = 'table'])"><xsl:value-of select="$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 match="*[local-name() = 'formula']/*[local-name() = 'dt']/*[local-name() = 'stem']">
<fo:inline>
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template match="*[local-name() = 'admitted']/*[local-name() = 'stem']">
<fo:inline>
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template match="*[local-name() = 'formula']/*[local-name() = 'name']"> <!-- show in 'stem' template -->
<!-- https://github.com/metanorma/isodoc/issues/607
<xsl:if test="normalize-space() != ''">
<xsl:text>(</xsl:text><xsl:apply-templates /><xsl:text>)</xsl:text>
</xsl:if> -->
<xsl:apply-templates/>
</xsl:template>
<!-- stem inside formula with name (with formula's number) -->
<xsl:template 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 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 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 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:apply-templates select="*[local-name() = 'name']/*[local-name() = 'tab']" mode="tab"/>
<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(), $ace_tag)]">
<xsl:with-param name="skip">false</xsl:with-param>
</xsl:apply-templates>
</xsl:if>
<xsl:apply-templates select="*[local-name() = 'name']"/>
</fo:inline>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template name="refine_note_block_style">
</xsl:template>
<xsl:template match="*[local-name() = 'note']/*[local-name() = 'p']">
<xsl:variable name="num"><xsl:number/></xsl:variable>
<xsl:choose>
<xsl:when test="$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 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: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 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>
<!-- https://github.com/metanorma/isodoc/issues/607 -->
<!-- <xsl:if test="$namespace = 'ieee'">
<xsl:text>—</xsl:text> em dash —
</xsl:if> -->
<!-- <xsl:if test="$namespace = 'iho' or $namespace = 'gb' or $namespace = 'm3d' or $namespace = 'unece-rec' or $namespace = 'unece' or $namespace = 'rsd'">
<xsl:text>:</xsl:text>
</xsl:if> -->
<!-- <xsl:if test="$namespace = 'itu' or $namespace = 'nist-cswp' or $namespace = 'nist-sp'">
<xsl:text> – </xsl:text> en dash –
</xsl:if> -->
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:if test="normalize-space() != ''">
<xsl:apply-templates/>
<xsl:value-of select="$suffix"/>
</xsl:if>
</xsl:template>
<xsl:template 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>
<!-- https://github.com/metanorma/isodoc/issues/607 -->
<!-- <xsl:if test="$namespace = 'ieee'">
<xsl:text>—</xsl:text> em dash —
</xsl:if> -->
<!-- <xsl:if test="$namespace = 'gb' or $namespace = 'iso' or $namespace = 'iec' or $namespace = 'ogc' or $namespace = 'ogc-white-paper' or $namespace = 'rsd' or $namespace = 'jcgm'">
<xsl:text>:</xsl:text>
</xsl:if> -->
<!-- <xsl:if test="$namespace = 'itu' or $namespace = 'nist-cswp' or $namespace = 'nist-sp' or $namespace = 'unece-rec' or $namespace = 'unece'">
<xsl:text> – </xsl:text> en dash –
</xsl:if> -->
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:if test="normalize-space() != ''">
<xsl:apply-templates/>
<xsl:value-of select="$suffix"/>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'termnote']/*[local-name() = 'p']">
<xsl:variable name="num"><xsl:number/></xsl:variable>
<xsl:choose>
<xsl:when test="$num = 1"> <!-- first paragraph renders in the same line as titlenote name -->
<fo:inline xsl:use-attribute-sets="termnote-p-style">
<xsl:apply-templates/>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<fo:block xsl:use-attribute-sets="termnote-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<!-- ====== -->
<!-- term -->
<!-- ====== -->
<xsl:template match="*[local-name() = 'terms']">
<!-- <xsl:message>'terms' <xsl:number/> processing...</xsl:message> -->
<fo:block id="{@id}">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'term']">
<fo:block id="{@id}" xsl:use-attribute-sets="term-style">
<xsl:apply-templates select="ogc:name"/>
<xsl:if test="parent::*[local-name() = 'term'] and not(preceding-sibling::*[local-name() = 'term'])">
</xsl:if>
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'term']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<!-- <xsl:variable name="level">
<xsl:call-template name="getLevelTermName"/>
</xsl:variable>
<fo:inline role="H{$level}">
<xsl:apply-templates />
</fo:inline> -->
<xsl:apply-templates/>
</xsl:if>
</xsl:template>
<!-- ====== -->
<!-- ====== -->
<!-- ====== -->
<!-- figure -->
<!-- image -->
<!-- ====== -->
<xsl:template 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>
<!-- Example: Dimensions in millimeters -->
<xsl:apply-templates select="*[local-name() = 'note'][@type = 'units']"/>
<xsl:variable name="show_figure_key_in_block_container">
true
</xsl:variable>
<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:if test="normalize-space($show_figure_key_in_block_container) = 'true'">
<xsl:call-template name="showFigureKey"/>
</xsl:if>
<xsl:apply-templates select="*[local-name() = 'name']"/> <!-- show figure's name AFTER image -->
</fo:block-container>
</xsl:template>
<xsl:template name="showFigureKey">
<xsl:for-each select="*[local-name() = 'note'][not(@type = 'units')]">
<xsl:call-template name="note"/>
</xsl:for-each>
<xsl:call-template name="fn_display_figure"/>
</xsl:template>
<xsl:template match="*[local-name() = 'figure'][@class = 'pseudocode']">
<fo:block id="{@id}">
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
<xsl:apply-templates select="*[local-name() = 'name']"/>
</xsl:template>
<xsl:template match="*[local-name() = 'figure'][@class = 'pseudocode']//*[local-name() = 'p']">
<fo:block xsl:use-attribute-sets="figure-pseudocode-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- SOURCE: ... -->
<xsl:template match="*[local-name() = 'figure']/*[local-name() = 'source']" priority="2">
<xsl:call-template name="termsource"/>
</xsl:template>
<xsl:template match="*[local-name() = 'image']">
<xsl:param name="indent">0</xsl:param>
<xsl:variable name="isAdded" select="../@added"/>
<xsl:variable name="isDeleted" select="../@deleted"/>
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'title'] or not(parent::*[local-name() = 'figure']) or parent::*[local-name() = 'p']"> <!-- inline image ( 'image:path' in adoc, with one colon after image) -->
<fo:inline padding-left="1mm" padding-right="1mm">
<xsl:if test="not(parent::*[local-name() = 'figure']) or parent::*[local-name() = 'p']">
<xsl:attribute name="padding-left">0mm</xsl:attribute>
<xsl:attribute name="padding-right">0mm</xsl:attribute>
</xsl:if>
<xsl:variable name="src">
<xsl:call-template name="image_src"/>
</xsl:variable>
<xsl:variable name="scale">
<xsl:call-template name="getImageScale">
<xsl:with-param name="indent" select="$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 $width_height/attributes/@content-height != ''">
<xsl:attribute name="scaling">non-uniform</xsl:attribute>
</xsl:if>
</xsl:otherwise>
</xsl:choose>
<!--
<xsl:if test="not(@mimetype = 'image/svg+xml') and (../*[local-name() = 'name'] or parent::*[local-name() = 'figure'][@unnumbered = 'true']) and not(ancestor::*[local-name() = 'table'])">
-->
</fo:external-graphic>
</xsl:otherwise>
</xsl:choose>
</fo:block>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="setImageWidth">
<xsl:if test="@width != '' and @width != 'auto' and @width != 'text-width' and @width != 'full-page-width' and @width != 'narrow'">
<xsl:value-of select="@width"/>
</xsl:if>
</xsl:template>
<xsl:template name="setImageHeight">
<xsl:if test="@height != '' and @height != 'auto'">
<xsl:value-of select="@height"/>
</xsl:if>
</xsl:template>
<xsl:template name="setImageWidthHeight">
<xsl:variable name="width">
<xsl:call-template name="setImageWidth"/>
</xsl:variable>
<xsl:if test="$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="$height"/>
</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:template name="getImageSrc">
<xsl:choose>
<xsl:when test="not(starts-with(@src, 'data:'))">
<xsl:call-template name="getImageSrcExternal"/>
</xsl:when>
<xsl:otherwise><xsl:value-of select="@src"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="getImageSrcExternal">
<xsl:choose>
<xsl:when test="@extracted = 'true'"> <!-- added in mn2pdf v1.97 -->
<xsl:value-of select="@src"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="src_with_basepath" select="concat($basepath, @src)"/>
<xsl:variable name="file_exists" select="normalize-space(java:exists(java:java.io.File.new($src_with_basepath)))"/>
<xsl:choose>
<xsl:when test="$file_exists = 'true'">
<xsl:value-of select="$src_with_basepath"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="@src"/>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="getImageScale">
<xsl:param name="indent"/>
<xsl:variable name="indent_left">
<xsl:choose>
<xsl:when test="$indent != ''"><xsl:value-of select="$indent"/></xsl:when>
<xsl:otherwise>0</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="img_src">
<xsl:call-template name="getImageSrc"/>
</xsl:variable>
<xsl:variable name="image_width_effective">
<xsl:value-of select="$width_effective - number($indent_left)"/>
</xsl:variable>
<xsl:variable name="image_height_effective" select="$height_effective - number($indent_left)"/>
<!-- <xsl:message>width_effective=<xsl:value-of select="$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">
<xsl:value-of select="java:org.metanorma.fop.utils.ImageUtils.getImageScale($img_src, $image_width_effective, $height_effective)"/>
</xsl:variable>
<xsl:value-of select="$scale"/>
</xsl:template>
<xsl:template 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:variable name="src_external"><xsl:call-template name="getImageSrcExternal"/></xsl:variable>
<xsl:value-of select="concat('url(file:///', $src_external, ')')"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="@src"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template 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_external"><xsl:call-template name="getImageSrcExternal"/></xsl:variable>
<xsl:variable name="src" select="concat('url(file:///', $src_external, ')')"/>
<xsl:variable name="file" select="java:java.io.File.new(@src)"/>
<xsl:variable name="bufferedImage" select="java:javax.imageio.ImageIO.read($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="$height"/>
</xsl:call-template>
</svg>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="svg_cross">
<xsl:param name="width"/>
<xsl:param name="height"/>
<line xmlns="http://www.w3.org/2000/svg" x1="0" y1="0" x2="{$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="{$width}" y2="0" style="stroke: rgb(255, 0, 0); stroke-width:4px; "/>
</xsl:template>
<!-- =================== -->
<!-- SVG images processing -->
<!-- =================== -->
<xsl:variable name="figure_name_height">14</xsl:variable>
<xsl:variable name="width_effective" select="$pageWidth - $marginLeftRight1 - $marginLeftRight2"/><!-- paper width minus margins -->
<xsl:variable name="height_effective" select="$pageHeight - $marginTop - $marginBottom - $figure_name_height"/><!-- paper height minus margins and title height -->
<xsl:variable name="image_dpi" select="96"/>
<xsl:variable name="width_effective_px" select="$width_effective div 25.4 * $image_dpi"/>
<xsl:variable name="height_effective_px" select="$height_effective div 25.4 * $image_dpi"/>
<xsl:template match="*[local-name() = 'figure'][not(*[local-name() = 'image']) and *[local-name() = 'svg']]/*[local-name() = 'name']/*[local-name() = 'bookmark']" priority="2"/>
<xsl:template match="*[local-name() = 'figure'][not(*[local-name() = 'image'])]/*[local-name() = 'svg']" priority="2" name="image_svg">
<xsl:param name="name"/>
<xsl:variable name="svg_content">
<xsl:apply-templates select="." mode="svg_update"/>
</xsl:variable>
<xsl:variable name="alt-text">
<xsl:choose>
<xsl:when test="normalize-space(../*[local-name() = 'name']) != ''">
<xsl:value-of select="../*[local-name() = 'name']"/>
</xsl:when>
<xsl:when test="normalize-space($name) != ''">
<xsl:value-of select="$name"/>
</xsl:when>
<xsl:otherwise>Figure</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="isPrecedingTitle" select="normalize-space(ancestor::*[local-name() = 'figure']/preceding-sibling::*[1][local-name() = 'title'] and 1 = 1)"/>
<xsl:choose>
<xsl:when test=".//*[local-name() = 'a'][*[local-name() = 'rect'] or *[local-name() = 'polygon'] or *[local-name() = 'circle'] or *[local-name() = 'ellipse']]">
<fo:block>
<xsl:variable name="width" select="@width"/>
<xsl:variable name="height" select="@height"/>
<xsl:variable name="scale_x">
<xsl:choose>
<xsl:when test="$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 > $height_effective_px">
<xsl:variable name="height_effective_px_">
<xsl:choose>
<!-- title is 'keep-with-next' with following figure -->
<xsl:when test="$isPrecedingTitle = 'true'"><xsl:value-of select="$height_effective_px - 80"/></xsl:when>
<xsl:otherwise><xsl:value-of select="$height_effective_px"/></xsl:otherwise>
</xsl:choose>
</xsl:variable>
<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 match="@*|node()" mode="svg_update">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="svg_update"/>
</xsl:copy>
</xsl:template>
<xsl:template 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 name="regex_starts_with_digit">^[0-9].*</xsl:variable>
<xsl:template 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 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 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 name="regex_svg_style_notsupported">display(\s|\h)*:(\s|\h)*inline-block(\s|\h)*;</xsl:variable>
<xsl:template match="*[local-name() = 'svg']//*[local-name() = 'style']/text()" mode="svg_update">
<xsl:value-of select="java:replaceAll(java:java.lang.String.new(.), $regex_svg_style_notsupported, '')"/>
</xsl:template>
<!-- replace
stroke="rgba(r, g, b, alpha)" to
stroke="rgb(r,g,b)" stroke-opacity="alpha", and
fill="rgba(r, g, b, alpha)" to
fill="rgb(r,g,b)" fill-opacity="alpha" -->
<xsl:template match="@*[local-name() = 'stroke' or local-name() = 'fill'][starts-with(normalize-space(.), 'rgba')]" mode="svg_update">
<xsl:variable name="components_">
<xsl:call-template name="split">
<xsl:with-param name="pText" select="substring-before(substring-after(., '('), ')')"/>
<xsl:with-param name="sep" select="','"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="components" select="xalan:nodeset($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="$components/item[4]"/></xsl:attribute>
</xsl:template>
<!-- ============== -->
<!-- END: svg_update -->
<!-- ============== -->
<!-- image with svg and emf -->
<xsl:template match="*[local-name() = 'figure']/*[local-name() = 'image'][*[local-name() = 'svg']]" priority="3">
<xsl:variable name="name" select="ancestor::*[local-name() = 'figure']/*[local-name() = 'name']"/>
<xsl:for-each select="*[local-name() = 'svg']">
<xsl:call-template name="image_svg">
<xsl:with-param name="name" select="$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 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 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 match="@*|node()" mode="svg_remove_a">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="svg_remove_a"/>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'a']" mode="svg_remove_a">
<xsl:apply-templates mode="svg_remove_a"/>
</xsl:template>
<xsl:template 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 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 match="*[local-name() = 'emf']"/>
<xsl:template 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:if test="not(following-sibling::*[1][local-name() = 'fmt-name'])">
<xsl:apply-templates mode="contents"/>
<xsl:text> </xsl:text>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'title'][following-sibling::*[1][local-name() = 'fmt-title']]" mode="contents"/>
<xsl:template match="*[local-name() = 'figure']/*[local-name() = 'fmt-name'] | *[local-name() = 'table']/*[local-name() = 'fmt-name'] | *[local-name() = 'permission']/*[local-name() = 'fmt-name'] | *[local-name() = 'recommendation']/*[local-name() = 'fmt-name'] | *[local-name() = 'requirement']/*[local-name() = 'fmt-name']" mode="contents">
<xsl:apply-templates mode="contents"/>
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template 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:if test="not(following-sibling::*[1][local-name() = 'fmt-name'])">
<xsl:apply-templates mode="bookmarks"/>
<xsl:text> </xsl:text>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'figure']/*[local-name() = 'fmt-name'] | *[local-name() = 'table']/*[local-name() = 'fmt-name'] | *[local-name() = 'permission']/*[local-name() = 'fmt-name'] | *[local-name() = 'recommendation']/*[local-name() = 'fmt-name'] | *[local-name() = 'requirement']/*[local-name() = 'fmt-name'] | *[local-name() = 'sourcecode']/*[local-name() = 'fmt-name']" mode="bookmarks">
<xsl:apply-templates mode="bookmarks"/>
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template 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:if test="not(../following-sibling::*[1][local-name() = 'fmt-name'])">
<xsl:value-of select="."/>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'figure' or local-name() = 'table' or local-name() = 'permission' or local-name() = 'recommendation' or local-name() = 'requirement']/*[local-name() = 'fmt-name']/text()" mode="contents" priority="2">
<xsl:value-of select="."/>
</xsl:template>
<xsl:template 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:if test="not(../following-sibling::*[1][local-name() = 'fmt-name'])">
<xsl:value-of select="."/>
</xsl:if>
</xsl:template>
<xsl:template 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() = 'fmt-name']//text()" mode="bookmarks" priority="2">
<xsl:value-of select="."/>
</xsl:template>
<xsl:template match="*[local-name() = 'add'][starts-with(., $ace_tag)]/text()" mode="bookmarks" priority="3"/>
<xsl:template 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 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 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 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 match="*[local-name() = 'clause']/*[local-name() = 'p'][@type = 'section-title' and (@depth != ../*[local-name() = 'title' or local-name() = 'fmt-title']/@depth or ../*[local-name() = 'title' or local-name() = 'fmt-title']/@depth = 1)]" priority="3" mode="contents"/>
<xsl:template 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:when test="*[local-name() = 'span'][@class = 'fmt-caption-delim']">
<xsl:value-of select="*[local-name() = 'span'][@class = 'fmt-caption-delim'][1]/preceding-sibling::node()"/>
</xsl:when>
<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>
<!-- https://github.com/metanorma/mn-native-pdf/issues/770 -->
<xsl:when test="*[local-name() = 'span'][@class = 'fmt-caption-delim']">
<xsl:choose>
<xsl:when test="@type = 'section-title'">
<xsl:value-of select="*[local-name() = 'span'][@class = 'fmt-caption-delim'][1]/preceding-sibling::node()"/>
<xsl:text>: </xsl:text>
<xsl:copy-of select="*[local-name() = 'span'][@class = 'fmt-caption-delim'][1]/following-sibling::node()[not(local-name = 'fmt-xref-label')]"/>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="*[local-name() = 'span'][@class = 'fmt-caption-delim'][1]/following-sibling::node()[not(local-name = 'fmt-xref-label')]"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<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 match="node()" mode="bookmarks">
<xsl:apply-templates mode="bookmarks"/>
</xsl:template>
<xsl:template match="*[local-name() = 'title' or local-name() = 'name' or local-name() = 'fmt-title' or local-name() = 'fmt-name']//*[local-name() = 'stem']" mode="contents">
<xsl:apply-templates select="."/>
</xsl:template>
<xsl:template match="*[local-name() = 'references'][@hidden='true']" mode="contents" priority="3"/>
<xsl:template 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 match="*[local-name() = 'span']" mode="contents">
<xsl:apply-templates mode="contents"/>
</xsl:template>
<xsl:template match="*[local-name() = 'semx']" mode="contents">
<xsl:apply-templates mode="contents"/>
</xsl:template>
<xsl:template 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 match="*[local-name() = 'span']" mode="bookmarks">
<xsl:apply-templates mode="bookmarks"/>
</xsl:template>
<xsl:template match="*[local-name() = 'semx']" mode="bookmarks">
<xsl:apply-templates mode="bookmarks"/>
</xsl:template>
<!-- Bookmarks -->
<xsl:template name="addBookmarks">
<xsl:param name="contents"/>
<xsl:param name="contents_addon"/>
<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="$contents_nodes/doc">
<fo:bookmark internal-destination="{contents/item[@display = 'true'][1]/@id}" starting-state="hide">
<xsl:if test="@bundle = 'true'">
<xsl:attribute name="internal-destination"><xsl:value-of select="@firstpage_id"/></xsl:attribute>
</xsl:if>
<fo:bookmark-title>
<xsl:choose>
<xsl:when test="not(normalize-space(@bundle) = 'true')"> <!-- 'bundle' means several different documents (not language versions) in one xml -->
<xsl:variable name="bookmark-title_">
<xsl:call-template name="getLangVersion">
<xsl:with-param name="lang" select="@lang"/>
<xsl:with-param name="doctype" select="@doctype"/>
<xsl:with-param name="title" select="@title-part"/>
</xsl:call-template>
</xsl:variable>
<xsl:choose>
<xsl:when test="normalize-space($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>
<!-- for $namespace = 'nist-sp' $namespace = 'ogc' $namespace = 'ogc-white-paper' -->
<xsl:copy-of select="$contents_addon"/>
</fo:bookmark-tree>
</xsl:if>
</xsl:template>
<xsl:template 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>
<!-- see template addBookmarks -->
</xsl:template> <!-- insertFigureBookmarks -->
<xsl:template 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="$contents_nodes/table">
<fo:bookmark internal-destination="{@id}">
<fo:bookmark-title>
<xsl:value-of select="normalize-space(title)"/>
</fo:bookmark-title>
</fo:bookmark>
</xsl:for-each>
</fo:bookmark>
</xsl:if>
<!-- see template addBookmarks -->
</xsl:template> <!-- insertTableBookmarks -->
<!-- End Bookmarks -->
<xsl:template name="getLangVersion">
<xsl:param name="lang"/>
<xsl:param name="doctype" select="''"/>
<xsl:param name="title" select="''"/>
<xsl:choose>
<xsl:when test="$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 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 match="title" mode="bookmark"/>
<xsl:template match="text()" mode="bookmark"/>
<xsl:template 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 match="*[local-name() = 'figure']/*[local-name() = 'fn']" priority="2"/>
<xsl:template match="*[local-name() = 'figure']/*[local-name() = 'note']"/>
<xsl:template 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 match="*[local-name() = 'title']" mode="contents_item">
<xsl:param name="mode">bookmarks</xsl:param>
<xsl:if test="not(following-sibling::*[1][local-name() = 'fmt-title'])">
<xsl:apply-templates mode="contents_item">
<xsl:with-param name="mode" select="$mode"/>
</xsl:apply-templates>
<!-- <xsl:text> </xsl:text> -->
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'fmt-title']" mode="contents_item">
<xsl:param name="mode">bookmarks</xsl:param>
<xsl:apply-templates mode="contents_item">
<xsl:with-param name="mode" select="$mode"/>
</xsl:apply-templates>
<!-- <xsl:text> </xsl:text> -->
</xsl:template>
<xsl:template match="*[local-name() = 'span'][ @class = 'fmt-caption-label' or @class = 'fmt-element-name' or @class = 'fmt-caption-delim']" mode="contents_item" priority="3">
<xsl:apply-templates mode="contents_item"/>
</xsl:template>
<xsl:template match="*[local-name() = 'semx']" mode="contents_item">
<xsl:apply-templates mode="contents_item"/>
</xsl:template>
<xsl:template match="*[local-name() = 'fmt-xref-label']" mode="contents_item"/>
<xsl:template name="getSection">
<xsl:choose>
<xsl:when test="*[local-name() = 'fmt-title']">
<xsl:variable name="fmt_title_section">
<xsl:copy-of select="*[local-name() = 'fmt-title']//*[local-name() = 'span'][@class = 'fmt-caption-delim'][*[local-name() = 'tab']][1]/preceding-sibling::node()[not(local-name() = 'review')]"/>
</xsl:variable>
<xsl:value-of select="normalize-space($fmt_title_section)"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="*[local-name() = 'title']/*[local-name() = 'tab'][1]/preceding-sibling::node()"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="getName">
<xsl:choose>
<xsl:when test="*[local-name() = 'fmt-title']//*[local-name() = 'span'][@class = 'fmt-caption-delim'][*[local-name() = 'tab']]">
<xsl:copy-of select="*[local-name() = 'fmt-title']//*[local-name() = 'span'][@class = 'fmt-caption-delim'][*[local-name() = 'tab']][1]/following-sibling::node()"/>
</xsl:when>
<xsl:when test="*[local-name() = 'fmt-title']">
<xsl:copy-of select="*[local-name() = 'fmt-title']/node()"/>
</xsl:when>
<xsl:when test="*[local-name() = 'title']/*[local-name() = 'tab']">
<xsl:copy-of select="*[local-name() = 'title']/*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="*[local-name() = 'title']/node()"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="insertTitleAsListItem">
<xsl:param name="provisional-distance-between-starts" select="'9.5mm'"/>
<xsl:variable name="section">
<xsl:for-each select="..">
<xsl:call-template name="getSection"/>
</xsl:for-each>
</xsl:variable>
<fo:list-block provisional-distance-between-starts="{$provisional-distance-between-starts}">
<fo:list-item>
<fo:list-item-label end-indent="label-end()">
<fo:block>
<xsl:value-of select="$section"/>
</fo:block>
</fo:list-item-label>
<fo:list-item-body start-indent="body-start()">
<fo:block>
<xsl:choose>
<xsl:when test="*[local-name() = 'tab']">
<xsl:apply-templates select="*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
<xsl:apply-templates select="following-sibling::*[1][local-name() = 'variant-title'][@type = 'sub']" mode="subtitle"/>
</xsl:otherwise>
</xsl:choose>
</fo:block>
</fo:list-item-body>
</fo:list-item>
</fo:list-block>
</xsl:template>
<xsl:template name="extractSection">
<xsl:value-of select="*[local-name() = 'tab'][1]/preceding-sibling::node()"/>
</xsl:template>
<xsl:template name="extractTitle">
<xsl:choose>
<xsl:when test="*[local-name() = 'tab']">
<xsl:apply-templates select="*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="*[local-name() = 'fn']" mode="contents"/>
<xsl:template match="*[local-name() = 'fn']" mode="bookmarks"/>
<xsl:template match="*[local-name() = 'fn']" mode="contents_item"/>
<xsl:template match="*[local-name() = 'xref'] | *[local-name() = 'eref']" mode="contents">
<xsl:value-of select="."/>
</xsl:template>
<xsl:template match="*[local-name() = 'review']" mode="contents_item"/>
<xsl:template match="*[local-name() = 'tab']" mode="contents_item">
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template match="*[local-name() = 'strong']" mode="contents_item">
<xsl:param name="element"/>
<xsl:copy>
<xsl:apply-templates mode="contents_item">
<xsl:with-param name="element" select="$element"/>
</xsl:apply-templates>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'em']" mode="contents_item">
<xsl:copy>
<xsl:apply-templates mode="contents_item"/>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'sub']" mode="contents_item">
<xsl:copy>
<xsl:apply-templates mode="contents_item"/>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'sup']" mode="contents_item">
<xsl:copy>
<xsl:apply-templates mode="contents_item"/>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'stem']" mode="contents_item">
<xsl:copy-of select="."/>
</xsl:template>
<xsl:template match="*[local-name() = 'br']" mode="contents_item">
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template match="*[local-name() = 'name']" mode="contents_item">
<xsl:param name="mode">bookmarks</xsl:param>
<xsl:if test="not(following-sibling::*[1][local-name() = 'fmt-name'])">
<xsl:apply-templates mode="contents_item">
<xsl:with-param name="mode" select="$mode"/>
</xsl:apply-templates>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'fmt-name']" mode="contents_item">
<xsl:param name="mode">bookmarks</xsl:param>
<xsl:apply-templates mode="contents_item">
<xsl:with-param name="mode" select="$mode"/>
</xsl:apply-templates>
</xsl:template>
<xsl:template 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 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 match="*[local-name() = 'add'][starts-with(., $ace_tag)]/text()" mode="contents_item" priority="2">
<xsl:value-of select="."/>
</xsl:template>
<!-- Note: to enable the addition of character span markup with semantic styling for DIS Word output -->
<xsl:template match="*[local-name() = 'span']" mode="contents_item">
<xsl:param name="element"/>
<xsl:apply-templates mode="contents_item">
<xsl:with-param name="element" select="$element"/>
</xsl:apply-templates>
</xsl:template>
<!-- =============== -->
<!-- sourcecode -->
<!-- =============== -->
<xsl:variable name="source-highlighter-css_" select="//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'source-highlighter-css']"/>
<xsl:variable name="sourcecode_css_" select="java:org.metanorma.fop.Util.parseCSS($source-highlighter-css_)"/>
<xsl:variable name="sourcecode_css" select="xalan:nodeset($sourcecode_css_)"/>
<xsl:template match="*[local-name() = 'property']" mode="css">
<xsl:attribute name="{@name}">
<xsl:value-of select="@value"/>
</xsl:attribute>
</xsl:template>
<xsl:template 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'])]">8.5</xsl:when>
<xsl:otherwise>9.5</xsl:otherwise>
</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="$sourcecode_css//class[@name = 'sourcecode']" mode="css"/>
</xsl:element>
</xsl:template>
<xsl:template match="*[local-name()='sourcecode']" name="sourcecode">
<xsl:variable name="sourcecode_attributes">
<xsl:call-template name="get_sourcecode_attributes"/>
</xsl:variable>
<!-- <xsl:copy-of select="$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:if test="parent::*[local-name() = 'example']">
<fo:block font-size="1pt" line-height="10%" space-after="4pt"> </fo:block>
</xsl:if>
<fo:block xsl:use-attribute-sets="sourcecode-style">
<xsl:for-each select="xalan:nodeset($sourcecode_attributes)/sourcecode_attributes/@*">
<xsl:attribute name="{local-name()}">
<xsl:value-of select="."/>
</xsl:attribute>
</xsl:for-each>
<xsl:call-template name="refine_sourcecode-style"/>
<!-- remove margin between rows in the table with sourcecode line numbers -->
<xsl:if test="ancestor::*[local-name() = 'sourcecode'][@linenums = 'true'] and ancestor::*[local-name() = 'tr'][1]/following-sibling::*[local-name() = 'tr']">
<xsl:attribute name="margin-top">0pt</xsl:attribute>
<xsl:attribute name="margin-bottom">0pt</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="node()[not(local-name() = 'name' or local-name() = 'dl')]"/>
</fo:block>
<xsl:apply-templates select="*[local-name() = 'dl']"/> <!-- Key table -->
<xsl:apply-templates select="*[local-name()='name']"/> <!-- show sourcecode's name AFTER content -->
<xsl:if test="parent::*[local-name() = 'example']">
<fo:block font-size="1pt" line-height="10%" space-before="6pt"> </fo:block>
</xsl:if>
</fo:block-container>
</fo:block-container>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="*[local-name()='sourcecode']/text() | *[local-name()='sourcecode']//*[local-name()='span']/text()" priority="2">
<xsl:choose>
<!-- disabled -->
<xsl:when test="1 = 2 and normalize-space($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 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="$is_callout = 'true'">></xsl:if>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- outer table with line numbers for sourcecode -->
<xsl:template match="*[local-name() = 'sourcecode'][@linenums = 'true']/*[local-name()='table']" priority="2"> <!-- *[local-name()='table'][@type = 'sourcecode'] | -->
<fo:block>
<fo:table width="100%" table-layout="fixed">
<xsl:copy-of select="@id"/>
<fo:table-column column-width="8%"/>
<fo:table-column column-width="92%"/>
<fo:table-body>
<xsl:apply-templates/>
</fo:table-body>
</fo:table>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'sourcecode'][@linenums = 'true']/*[local-name()='table']/*[local-name() = 'tbody']" priority="2"> <!-- *[local-name()='table'][@type = 'sourcecode']/*[local-name() = 'tbody'] | -->
<xsl:apply-templates/>
</xsl:template>
<xsl:template match="*[local-name() = 'sourcecode'][@linenums = 'true']/*[local-name()='table']//*[local-name()='tr']" priority="2"> <!-- *[local-name()='table'][@type = 'sourcecode']//*[local-name()='tr'] | -->
<fo:table-row>
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<!-- first td with line numbers -->
<xsl:template match="*[local-name() = 'sourcecode'][@linenums = 'true']/*[local-name()='table']//*[local-name()='tr']/*[local-name()='td'][not(preceding-sibling::*)]" priority="2"> <!-- *[local-name()='table'][@type = 'sourcecode'] -->
<fo:table-cell>
<fo:block>
<!-- set attibutes for line numbers - same as sourcecode -->
<xsl:variable name="sourcecode_attributes">
<xsl:for-each select="following-sibling::*[local-name() = 'td']/*[local-name() = 'sourcecode']">
<xsl:call-template name="get_sourcecode_attributes"/>
</xsl:for-each>
</xsl:variable>
<xsl:for-each select="xalan:nodeset($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 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 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 name="interspers_tag_open">###interspers123###</xsl:variable>
<xsl:variable name="interspers_tag_close">###/interspers123###</xsl:variable>
<!-- split string by separator for interspers -->
<xsl:template 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="$text"/>
</xsl:call-template>
</xsl:template> <!-- end: split string by separator for interspers -->
<xsl:template name="replace_tag_interspers">
<xsl:param name="text"/>
<xsl:choose>
<xsl:when test="contains($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 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 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 match="*" mode="syntax_highlight">
<xsl:apply-templates mode="syntax_highlight"/>
</xsl:template>
<xsl:variable 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 name="syntax_highlight_styles" select="xalan:nodeset($syntax_highlight_styles_)"/>
<xsl:template 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 match="text()" mode="syntax_highlight" priority="2">
<xsl:call-template name="add_spaces_to_sourcecode"/>
</xsl:template>
<!-- end mode="syntax_highlight" -->
<xsl:template 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 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 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 match="*[local-name() = 'permission']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<fo:block xsl:use-attribute-sets="permission-name-style">
<xsl:apply-templates/>
<xsl:text>:</xsl:text>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template 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 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 match="*[local-name() = 'requirement']/*[local-name() = 'name']">
<xsl:if test="normalize-space() != ''">
<fo:block xsl:use-attribute-sets="requirement-name-style">
<xsl:if test="../@type = 'class'">
<xsl:attribute name="background-color">white</xsl:attribute>
</xsl:if>
<xsl:apply-templates/>
<xsl:text>:</xsl:text>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template 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 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 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 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 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 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 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 match="*[local-name() = 'div']">
<fo:block><xsl:apply-templates/></fo:block>
</xsl:template>
<xsl:template 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 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 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 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 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 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 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 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="$cols-count = 2 and not(ancestor::*[local-name()='table'])">
<fo:table-column column-width="30%"/>
<fo:table-column column-width="70%"/>
</xsl:if>
<xsl:apply-templates mode="requirement"/>
</fo:table>
<!-- fn processing -->
<xsl:if test=".//*[local-name() = 'fn']">
<xsl:for-each select="*[local-name() = 'tbody']">
<fo:block font-size="90%" border-bottom="1pt solid black">
<xsl:call-template name="table_fn_display"/>
</fo:block>
</xsl:for-each>
</xsl:if>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template match="*[local-name()='thead']" mode="requirement">
<fo:table-header>
<xsl:apply-templates mode="requirement"/>
</fo:table-header>
</xsl:template>
<xsl:template match="*[local-name()='tbody']" mode="requirement">
<fo:table-body>
<xsl:apply-templates mode="requirement"/>
</fo:table-body>
</xsl:template>
<xsl:template match="*[local-name()='tr']" mode="requirement">
<fo:table-row height="7mm" border-bottom="0.5pt solid grey">
<xsl:if test="parent::*[local-name()='thead'] or starts-with(*[local-name()='td' or local-name()='th'][1], 'Requirement ') or starts-with(*[local-name()='td' or local-name()='th'][1], 'Recommendation ')">
<xsl:attribute name="font-weight">bold</xsl:attribute>
<xsl:attribute name="font-weight">normal</xsl:attribute>
<xsl:if test="parent::*[local-name()='thead']"> <!-- and not(ancestor::*[local-name() = 'table'][@class = 'recommendation' or @class='requirement' or @class='permission']) -->
<xsl:attribute name="background-color"><xsl:value-of select="$color_table_header_row"/></xsl:attribute>
</xsl:if>
<xsl:if test="starts-with(*[local-name()='td'][1], 'Requirement ')">
<xsl:attribute name="background-color">rgb(252, 246, 222)</xsl:attribute>
</xsl:if>
<xsl:if test="starts-with(*[local-name()='td'][1], 'Recommendation ')">
<xsl:attribute name="background-color">rgb(233, 235, 239)</xsl:attribute>
</xsl:if>
</xsl:if>
<xsl:apply-templates mode="requirement"/>
</fo:table-row>
</xsl:template>
<xsl:template 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 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 match="*[local-name() = 'p'][@class='RecommendationTitle' or @class = 'RecommendationTestTitle']" priority="2">
<fo:block font-size="11pt">
<!-- <xsl:attribute name="color"><xsl:value-of select="$color_design"/></xsl:attribute> -->
<xsl:attribute name="color">white</xsl:attribute>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template 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 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 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/> <!-- commented $namespace = 'ieee', https://github.com/metanorma/isodoc/issues/614-->
</fo:inline>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'termexample']/*[local-name() = 'p']">
<xsl:variable name="element">inline
</xsl:variable>
<xsl:choose>
<xsl:when test="contains($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 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:variable name="example_body">
<xsl:apply-templates select="node()[not(local-name() = 'name')]">
<xsl:with-param name="fo_element" select="$fo_element"/>
</xsl:apply-templates>
</xsl:variable>
<xsl:choose>
<xsl:when test="xalan:nodeset($example_body)/*">
<xsl:copy-of select="$example_body"/>
</xsl:when>
<xsl:otherwise><fo:block/><!-- prevent empty block-container --></xsl:otherwise>
</xsl:choose>
</fo:block-container>
</fo:block-container>
</xsl:when> <!-- end block -->
<xsl:when test="contains(normalize-space($fo_element), 'list')">
<xsl:variable name="provisional_distance_between_starts_">
7
</xsl:variable>
<xsl:variable name="provisional_distance_between_starts" select="normalize-space($provisional_distance_between_starts_)"/>
<xsl:variable name="indent_">
0
</xsl:variable>
<xsl:variable name="indent" select="normalize-space($indent_)"/>
<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="$fo_element"/>
</xsl:apply-templates>
</fo:inline>
</fo:block>
<xsl:if test="*[not(local-name() = 'name')][position() > 1]">
<!-- display further elements in blocks -->
<fo:block-container xsl:use-attribute-sets="example-body-style" role="SKIP">
<fo:block-container margin-left="0mm" margin-right="0mm" role="SKIP">
<xsl:apply-templates select="*[not(local-name() = 'name')][position() > 1]">
<xsl:with-param name="fo_element" select="'block'"/>
</xsl:apply-templates>
</fo:block-container>
</fo:block-container>
</xsl:if>
</xsl:otherwise> <!-- end inline -->
</xsl:choose>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template match="*[local-name() = 'example']/*[local-name() = 'name']">
<xsl:param name="fo_element">block</xsl:param>
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'appendix']">
<fo:inline>
<xsl:apply-templates/>
</fo:inline>
</xsl:when>
<xsl:when test="contains(normalize-space($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/>: <!-- $namespace = 'ieee', see https://github.com/metanorma/isodoc/issues/614 -->
</fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="*[local-name() = 'table']/*[local-name() = 'example']/*[local-name() = 'name']">
<fo:inline xsl:use-attribute-sets="example-name-style">
<xsl:apply-templates/>
</fo:inline>
</xsl:template>
<xsl:template match="*[local-name() = 'example']/*[local-name() = 'p']">
<xsl:param name="fo_element">block</xsl:param>
<xsl:variable name="num"><xsl:number/></xsl:variable>
<xsl:variable name="element">
<xsl:value-of select="$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($element), 'list')">
<fo:block xsl:use-attribute-sets="example-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:when>
<xsl:otherwise>
<fo:inline xsl:use-attribute-sets="example-p-style">
<xsl:apply-templates/>
</fo:inline>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- example/p -->
<!-- ====== -->
<!-- ====== -->
<!-- ====== -->
<!-- termsource -->
<!-- origin -->
<!-- modification -->
<!-- ====== -->
<xsl:template match="*[local-name() = 'termsource']" name="termsource">
<fo:block xsl:use-attribute-sets="termsource-style">
<xsl:call-template name="refine_termsource-style"/>
<!-- Example: [SOURCE: ISO 5127:2017, 3.1.6.02] -->
<xsl:variable name="termsource_text">
<xsl:apply-templates/>
</xsl:variable>
<xsl:copy-of select="$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 $namespace = 'jcgm'">
<xsl:text>]</xsl:text>
</xsl:if>
</xsl:otherwise>
</xsl:choose> -->
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'termsource']/text()[starts-with(., '[SOURCE: Adapted from: ') or starts-with(., '[SOURCE: Quoted from: ') or starts-with(., '[SOURCE: Modified from: ')]" priority="2">
<xsl:text>[</xsl:text><xsl:value-of select="substring-after(., '[SOURCE: ')"/>
</xsl:template>
<xsl:template match="*[local-name() = 'termsource']/text()">
<xsl:if test="normalize-space() != ''">
<xsl:value-of select="."/>
</xsl:if>
</xsl:template>
<!-- text SOURCE: -->
<xsl:template match="*[local-name() = 'termsource']/*[local-name() = 'strong'][1][following-sibling::*[1][local-name() = 'origin']]/text()">
<fo:inline xsl:use-attribute-sets="termsource-text-style">
<xsl:value-of select="."/>
</fo:inline>
</xsl:template>
<xsl:template match="*[local-name() = 'origin']">
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link internal-destination="{@bibitemid}" fox:alt-text="{@citeas}">
<xsl:if test="normalize-space(@citeas) = ''">
<xsl:attribute name="fox:alt-text"><xsl:value-of select="@bibitemid"/></xsl:attribute>
</xsl:if>
<fo:inline xsl:use-attribute-sets="origin-style">
<xsl:apply-templates/>
</fo:inline>
</fo:basic-link>
</xsl:with-param>
</xsl:call-template>
</xsl:template>
<!-- not using, see https://github.com/glossarist/iev-document/issues/23 -->
<xsl:template match="*[local-name() = 'modification']">
<xsl:variable name="title-modified">
<xsl:call-template name="getLocalizedString">
<xsl:with-param name="key">modified</xsl:with-param>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="text"><xsl:apply-templates/></xsl:variable>
<xsl:choose>
<xsl:when test="$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 match="*[local-name() = 'modification']/*[local-name() = 'p']">
<fo:inline><xsl:apply-templates/></fo:inline>
</xsl:template>
<xsl:template 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 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') and not(local-name() = 'attribution')]"/> <!-- 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'] or *[local-name() = 'attribution']">
<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']"/>
<!-- added for https://github.com/metanorma/isodoc/issues/607 -->
<xsl:apply-templates select="*[local-name() = 'attribution']/*[local-name() = 'p']/node()"/>
</fo:block>
</xsl:if>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template 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 match="*[local-name() = 'author']">
<xsl:if test="local-name(..) = 'quote'"> <!-- for old Presentation XML, https://github.com/metanorma/isodoc/issues/607 -->
<xsl:text>— </xsl:text>
</xsl:if>
<xsl:apply-templates/>
</xsl:template>
<xsl:template match="*[local-name() = 'quote']//*[local-name() = 'referenceFrom']"/>
<!-- ====== -->
<!-- ====== -->
<xsl:variable name="bibitems_">
<xsl:for-each select="//*[local-name() = 'bibitem']">
<xsl:copy-of select="."/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="bibitems" select="xalan:nodeset($bibitems_)"/>
<!-- get all hidden bibitems to exclude them from eref/origin processing -->
<xsl:variable name="bibitems_hidden_">
<xsl:for-each select="//*[local-name() = 'bibitem'][@hidden='true']">
<xsl:copy-of select="."/>
</xsl:for-each>
<xsl:for-each select="//*[local-name() = 'references'][@hidden='true']//*[local-name() = 'bibitem']">
<xsl:copy-of select="."/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="bibitems_hidden" select="xalan:nodeset($bibitems_hidden_)"/>
<!-- ====== -->
<!-- eref -->
<!-- ====== -->
<xsl:template 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 name="refine_basic_link_style">
</xsl:template> <!-- refine_basic_link_style -->
<!-- ====== -->
<!-- END eref -->
<!-- ====== -->
<!-- Tabulation processing -->
<xsl:template 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">
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'note'] and ancestor::*[local-name() = 'name']">1</xsl:when>
<xsl:when test="$depth = 2">2</xsl:when>
<xsl:otherwise>1</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="padding-right">
<xsl:choose>
<xsl:when test="normalize-space($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 match="*[local-name() = 'note']/*[local-name() = 'name']/*[local-name() = 'tab']" priority="2"/>
<xsl:template match="*[local-name() = 'termnote']/*[local-name() = 'name']/*[local-name() = 'tab']" priority="2"/>
<xsl:template match="*[local-name() = 'note']/*[local-name() = 'name']/*[local-name() = 'tab']" mode="tab">
</xsl:template>
<xsl:template 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 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 match="*[local-name() = 'domain']">
<!-- https://github.com/metanorma/isodoc/issues/607
<fo:inline xsl:use-attribute-sets="domain-style"><<xsl:apply-templates/>></fo:inline>
<xsl:text> </xsl:text> -->
<xsl:if test="not(@hidden = 'true')">
<xsl:apply-templates/>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'admitted']">
<fo:block xsl:use-attribute-sets="admitted-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'deprecates']">
<fo:block xsl:use-attribute-sets="deprecates-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template 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 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(.), ';', $linebreak)"/>
</xsl:template>
<!-- End Preferred, admitted, deprecated -->
<!-- ========== -->
<!-- definition -->
<!-- ========== -->
<xsl:template match="*[local-name() = 'definition']">
<fo:block xsl:use-attribute-sets="definition-style" role="SKIP">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'definition'][preceding-sibling::*[local-name() = 'domain']]">
<xsl:apply-templates/>
</xsl:template>
<xsl:template match="*[local-name() = 'definition'][preceding-sibling::*[local-name() = 'domain']]/*[local-name() = 'p'][1]">
<fo:inline> <xsl:apply-templates/></fo:inline>
<fo:block/>
</xsl:template>
<!-- ========== -->
<!-- END definition -->
<!-- ========== -->
<xsl:variable name="reviews_">
<xsl:for-each select="//*[local-name() = 'review'][@from]">
<xsl:copy>
<xsl:copy-of select="@from"/>
<xsl:copy-of select="@id"/>
</xsl:copy>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="reviews" select="xalan:nodeset($reviews_)"/>
<xsl:template name="addReviewHelper">
<!-- if there is review with from="...", then add small helper block for Annot tag adding, see 'review' template -->
<xsl:variable name="curr_id" select="@id"/>
<xsl:variable name="review_id" select="normalize-space($reviews//*[local-name() = 'review'][@from = $curr_id]/@id)"/>
<xsl:if test="$review_id != ''"> <!-- i.e. if review found -->
<fo:block keep-with-next="always" line-height="0.1" id="{$review_id}" font-size="1pt" role="SKIP"><xsl:value-of select="$hair_space"/><fo:basic-link internal-destination="{$review_id}" fox:alt-text="Annot___{$review_id}" role="Annot"><xsl:value-of select="$hair_space"/></fo:basic-link></fo:block>
</xsl:if>
<!-- <fo:block>
<curr_id><xsl:value-of select="$curr_id"/></curr_id>
<xsl:copy-of select="$reviews"/>
</fo:block> -->
</xsl:template>
<!-- main sections -->
<xsl:template match="/*/*[local-name() = 'sections']/*" name="sections_node" priority="2">
<fo:block>
<xsl:call-template name="setId"/>
<xsl:call-template name="sections_element_style"/>
<xsl:call-template name="addReviewHelper"/>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- note: @top-level added in mode=" update_xml_step_move_pagebreak" -->
<xsl:template match="*[local-name() = 'sections']/*[local-name() = 'page_sequence']/*[not(@top-level)]" priority="2">
<xsl:choose>
<xsl:when test="local-name() = 'clause' and normalize-space() = '' and count(*) = 0"/>
<xsl:otherwise>
<xsl:call-template name="sections_node"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- page_sequence/sections/clause -->
<xsl:template match="*[local-name() = 'page_sequence']/*[local-name() = 'sections']/*[not(@top-level)]" priority="2">
<xsl:choose>
<xsl:when test="local-name() = 'clause' and normalize-space() = '' and count(*) = 0"/>
<xsl:otherwise>
<xsl:call-template name="sections_node"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="sections_element_style">
<xsl:variable name="pos"><xsl:number count="ogc:sections/ogc:clause[not(@type='scope') and not(@type='conformance')]"/></xsl:variable> <!-- | ogc:sections/ogc:terms -->
<xsl:if test="$pos >= 2">
<xsl:attribute name="space-before">18pt</xsl:attribute>
</xsl:if>
</xsl:template> <!-- sections_element_style -->
<xsl:template 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:call-template name="addReviewHelper"/>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- preface/ page_sequence/clause -->
<xsl:template match="*[local-name() = 'preface']/*[local-name() = 'page_sequence']/*[not(@top-level)]" priority="2"> <!-- /*/*[local-name() = 'preface']/* -->
<xsl:choose>
<xsl:when test="local-name() = 'clause' and normalize-space() = '' and count(*) = 0"/>
<xsl:otherwise>
<xsl:call-template name="preface_node"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- page_sequence/preface/clause -->
<xsl:template match="*[local-name() = 'page_sequence']/*[local-name() = 'preface']/*[not(@top-level)]" priority="2"> <!-- /*/*[local-name() = 'preface']/* -->
<xsl:choose>
<xsl:when test="local-name() = 'clause' and normalize-space() = '' and count(*) = 0"/>
<xsl:otherwise>
<xsl:call-template name="preface_node"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template 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:call-template name="addReviewHelper"/>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template name="refine_clause_style">
</xsl:template> <!-- refine_clause_style -->
<xsl:template match="*[local-name() = 'definitions']">
<fo:block id="{@id}">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template 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 name="refine_annex_style">
</xsl:template>
<xsl:template 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:if test="1 = 1">
<xsl:choose>
<!-- if there isn't the attribute '@from', then -->
<xsl:when test="$id_from = ''">
<fo:block id="{@id}" font-size="1pt" role="SKIP"><xsl:value-of select="$hair_space"/><fo:basic-link internal-destination="{@id}" fox:alt-text="Annot___{@id}" role="Annot"><xsl:value-of select="$hair_space"/></fo:basic-link></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 = $id_from])">
<fo:block id="{@from}" font-size="1pt" role="SKIP"><xsl:value-of select="$hair_space"/><fo:basic-link internal-destination="{@from}" fox:alt-text="Annot___{@id}" role="Annot"><xsl:value-of select="$hair_space"/></fo:basic-link></fo:block>
</xsl:when>
<xsl:when test="not(/*[@id = $id_from]) and not(/*//*[@id = $id_from]) and not(preceding-sibling::*[@id = $id_from])">
<fo:block id="{@from}" font-size="1pt" role="SKIP"><xsl:value-of select="$hair_space"/><fo:basic-link internal-destination="{@from}" fox:alt-text="Annot___{@id}" role="Annot"><xsl:value-of select="$hair_space"/></fo:basic-link></fo:block>
</xsl:when>
</xsl:choose>
</xsl:if>
<xsl:if test="1 = 2">
<xsl:choose>
<!-- if there isn't the attribute '@from', then -->
<xsl:when test="$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:if>
</xsl:template>
<!-- https://github.com/metanorma/mn-samples-bsi/issues/312 -->
<xsl:template match="*[local-name() = 'review'][@type = 'other']"/>
<xsl:template 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 name="ul_labels_">
<label color="{$color_design}">•</label>
</xsl:variable>
<xsl:variable name="ul_labels" select="xalan:nodeset($ul_labels_)"/>
<xsl:template 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="$ul_labels/label[@level = 1]" mode="ul_labels"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="label" mode="ul_labels">
<xsl:copy-of select="@*[not(local-name() = 'level')]"/>
<xsl:value-of select="."/>
</xsl:template>
<xsl:template name="getListItemFormat">
<!-- Example: for BSI <?list-type loweralpha?> -->
<xsl:variable name="processing_instruction_type" select="normalize-space(../preceding-sibling::*[1]/processing-instruction('list-type'))"/>
<xsl:choose>
<xsl:when test="local-name(..) = 'ul'">
<xsl:choose>
<xsl:when test="normalize-space($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="type" select="../@type"/>
<xsl:variable name="label">
<xsl:variable name="style_prefix_">
<xsl:if test="$type = 'roman'">
<!-- Example: (i) -->
</xsl:if>
<xsl:if test="$type = 'alphabet'">
</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 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 name="refine_list_container_style">
</xsl:template> <!-- refine_list_container_style -->
<xsl:template 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 name="refine_list-style_provisional-distance-between-starts">
</xsl:template> <!-- refine_list-style_provisional-distance-between-starts -->
<xsl:template match="*[local-name() = 'ol' or local-name() = 'ul']/*[local-name() = 'name']">
<xsl:param name="process">false</xsl:param>
<xsl:if test="$process = 'true'">
<fo:block xsl:use-attribute-sets="list-name-style">
<xsl:apply-templates/>
</fo:block>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name()='li']">
<xsl:param name="indent">0</xsl:param>
<!-- <fo:list-item xsl:use-attribute-sets="list-item-style">
<fo:list-item-label end-indent="label-end()"><fo:block>x</fo:block></fo:list-item-label>
<fo:list-item-body start-indent="body-start()" xsl:use-attribute-sets="list-item-body-style">
<fo:block>debug li indent=<xsl:value-of select="$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="$indent"/>
</xsl:apply-templates>
<!-- <xsl:apply-templates select="node()[not(local-name() = 'note')]" />
<xsl:for-each select="./bsi:note">
<xsl:call-template name="note"/>
</xsl:for-each> -->
</fo:block>
</fo:list-item-body>
</fo:list-item>
</xsl:template>
<!-- ===================================== -->
<!-- END Lists processing -->
<!-- ===================================== -->
<!-- =================== -->
<!-- Index section processing -->
<!-- =================== -->
<xsl:variable name="index" select="document($external_index)"/>
<xsl:variable 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 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="$docid"/>
</xsl:apply-templates>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'xref']" mode="index_add_id">
<xsl:param name="docid"/>
<xsl:variable name="id">
<xsl:call-template name="generateIndexXrefId">
<xsl:with-param name="docid" select="$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 match="@*|node()" mode="index_update">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="index_update"/>
</xsl:copy>
</xsl:template>
<xsl:template 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 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 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 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 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 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 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 match="*[local-name() = 'indexsect']//*[local-name() = 'ul']" priority="4">
<xsl:apply-templates/>
</xsl:template>
<xsl:template match="*[local-name() = 'indexsect']//*[local-name() = 'li']" priority="4">
<xsl:variable name="level" select="count(ancestor::*[local-name() = 'ul'])"/>
<fo:block start-indent="{5 * $level}mm" text-indent="-5mm">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'indexsect']//*[local-name() = 'li']/text()">
<!-- to split by '_' and other chars -->
<xsl:call-template name="add-zero-spaces-java"/>
</xsl:template>
<xsl:template match="*[local-name() = 'table']/*[local-name() = 'bookmark']" priority="2"/>
<xsl:template match="*[local-name() = 'bookmark']" name="bookmark">
<!-- <fo:inline id="{@id}" font-size="1pt"/> -->
<fo:inline id="{@id}" font-size="1pt"><xsl:value-of select="$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 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 match="*[local-name() = 'errata']/*[local-name() = 'row']">
<fo:table-row>
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<xsl:template 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 match="*[local-name() = 'references'][@hidden='true']" priority="3"/>
<xsl:template 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 match="*[local-name() = 'bibitem'][starts-with(@id, 'hidden_bibitem_')]" priority="3"/>
<!-- Normative references -->
<xsl:template 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 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 match="*[local-name() = 'bibitem']">
<xsl:call-template name="bibitem"/>
</xsl:template>
<!-- Normative references -->
<xsl:template 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 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 -->
<!-- $namespace = 'csd' or $namespace = 'gb' or $namespace = 'iec' or $namespace = 'ieee' or $namespace = 'iso' or $namespace = 'jcgm' or $namespace = 'm3d' or
$namespace = 'mpfd' or $namespace = 'ogc' or $namespace = 'ogc-white-paper' -->
<!-- Example: [1] ISO 9:1995, Information and documentation – Transliteration of Cyrillic characters into Latin characters – Slavic and non-Slavic languages -->
<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 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>
</fo:list-block>
</xsl:template> <!-- references[not(@normative='true')]/bibitem -->
<xsl:template 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 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 match="*[local-name() = 'title']" mode="title">
<fo:inline><xsl:apply-templates/></fo:inline>
</xsl:template>
<xsl:template match="*[local-name() = 'bibitem']/*[local-name() = 'docidentifier']"/>
<xsl:template match="*[local-name() = 'formattedref']">
<!-- <xsl:if test="$namespace = 'unece' or $namespace = 'unece-rec'">
<xsl:text>, </xsl:text>
</xsl:if> -->
<xsl:apply-templates/>
</xsl:template>
<xsl:template match="*[local-name() = 'biblio-tag']">
<xsl:param name="biblio_tag_part">both</xsl:param>
<xsl:choose>
<xsl:when test="$biblio_tag_part = 'first' and *[local-name() = 'tab']">
<xsl:apply-templates select="./*[local-name() = 'tab'][1]/preceding-sibling::node()"/>
</xsl:when>
<xsl:when test="$biblio_tag_part = 'last'">
<xsl:apply-templates select="./*[local-name() = 'tab'][1]/following-sibling::node()"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="*[local-name() = 'biblio-tag']/*[local-name() = 'tab']" priority="2">
<xsl:text> </xsl:text>
</xsl:template>
<!-- ======================= -->
<!-- END Bibliography rendering -->
<!-- ======================= -->
<!-- ========================================================== -->
<!-- END Reference sections (Normative References and Bibliography) -->
<!-- ========================================================== -->
<!-- =================== -->
<!-- Form's elements processing -->
<!-- =================== -->
<xsl:template match="*[local-name() = 'form']">
<fo:block>
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'form']//*[local-name() = 'label']">
<fo:inline><xsl:apply-templates/></fo:inline>
</xsl:template>
<xsl:template match="*[local-name() = 'form']//*[local-name() = 'input'][@type = 'text' or @type = 'date' or @type = 'file' or @type = 'password']">
<fo:inline>
<xsl:call-template name="text_input"/>
</fo:inline>
</xsl:template>
<xsl:template name="text_input">
<xsl:variable name="count">
<xsl:choose>
<xsl:when test="normalize-space(@maxlength) != ''"><xsl:value-of select="@maxlength"/></xsl:when>
<xsl:when test="normalize-space(@size) != ''"><xsl:value-of select="@size"/></xsl:when>
<xsl:otherwise>10</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:call-template name="repeat">
<xsl:with-param name="char" select="'_'"/>
<xsl:with-param name="count" select="$count"/>
</xsl:call-template>
<xsl:text> </xsl:text>
</xsl:template>
<xsl:template 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 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 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 match="*[local-name() = 'form']//*[local-name() = 'select']">
<fo:inline>
<xsl:call-template name="text_input"/>
</fo:inline>
</xsl:template>
<xsl:template 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 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($toclevels)"/></xsl:when> <!-- if there is value in xml -->
<xsl:otherwise><!-- default value -->
2
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:template match="*[local-name() = 'toc']">
<xsl:param name="colwidths"/>
<xsl:variable name="colwidths_">
<xsl:choose>
<xsl:when test="not($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($colwidths_)/column">
<fo:table-column column-width="proportional-column-width({.})"/>
</xsl:for-each>
<fo:table-body>
<xsl:apply-templates/>
</fo:table-body>
</fo:table>
</fo:block>
</xsl:template>
<xsl:template match="*[local-name() = 'toc']//*[local-name() = 'li']" priority="2">
<fo:table-row min-height="5mm">
<xsl:apply-templates/>
</fo:table-row>
</xsl:template>
<xsl:template match="*[local-name() = 'toc']//*[local-name() = 'li']/*[local-name() = 'p']">
<xsl:apply-templates/>
</xsl:template>
<xsl:template match="*[local-name() = 'toc']//*[local-name() = 'xref']" priority="3">
<!-- <xref target="cgpm9th1948r6">1.6.3<tab/>“9th CGPM, 1948:<tab/>decision to establish the SI”</xref> -->
<xsl:variable name="target" select="@target"/>
<xsl:for-each select="*[local-name() = 'tab']">
<xsl:variable name="current_id" select="generate-id()"/>
<fo:table-cell>
<fo:block line-height-shift-adjustment="disregard-shifts" role="SKIP">
<xsl:call-template name="insert_basic_link">
<xsl:with-param name="element">
<fo:basic-link internal-destination="{$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 match="*" mode="toc_table_width">
<xsl:apply-templates mode="toc_table_width"/>
</xsl:template>
<xsl:template match="*[local-name() = 'clause'][@type = 'toc']/*[local-name() = 'title']" mode="toc_table_width"/>
<xsl:template match="*[local-name() = 'clause'][not(@type = 'toc')]/*[local-name() = 'title']" mode="toc_table_width"/>
<xsl:template match="*[local-name() = 'li']" mode="toc_table_width">
<tr>
<xsl:apply-templates mode="toc_table_width"/>
</tr>
</xsl:template>
<xsl:template 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() = $current_id]]">
<xsl:copy-of select="."/>
</xsl:for-each>
</td>
</xsl:for-each>
<td>333</td> <!-- page number, just for fill -->
</xsl:template>
<!-- ================================== -->
<!-- END: calculate ToC table columns widths -->
<!-- ================================== -->
<!-- =================== -->
<!-- End Table of Contents (ToC) processing -->
<!-- =================== -->
<!-- insert fo:basic-link, if external-destination or internal-destination is non-empty, otherwise insert fo:inline -->
<xsl:template name="insert_basic_link">
<xsl:param name="element"/>
<xsl:variable name="element_node" select="xalan:nodeset($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 match="*[local-name() = 'variant-title']"/> <!-- [@type = 'sub'] -->
<xsl:template 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 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 match="@language">
<xsl:copy-of select="."/>
</xsl:template>
<xsl:template match="*[local-name() = 'p'][@type = 'floating-title' or @type = 'section-title']" priority="4">
<xsl:call-template name="title"/>
</xsl:template>
<!-- ================ -->
<!-- Admonition -->
<!-- ================ -->
<xsl:template match="*[local-name() = 'admonition']">
<!-- text in the box -->
<fo:block-container id="{@id}" xsl:use-attribute-sets="admonition-style">
<xsl:call-template name="setBlockSpanAll"/>
<xsl:variable name="admonition_color" select="normalize-space(/ogc:ogc-standard/ogc:metanorma-extension/ogc:presentation-metadata[ogc:name = concat('color-admonition-', @type)]/ogc:value)"/>
<xsl:if test="$admonition_color != ''">
<xsl:attribute name="border">0.5pt solid <xsl:value-of select="$admonition_color"/></xsl:attribute>
<xsl:attribute name="color"><xsl:value-of select="$admonition_color"/></xsl:attribute>
</xsl:if>
<fo:block-container xsl:use-attribute-sets="admonition-container-style" role="SKIP">
<fo:block xsl:use-attribute-sets="admonition-name-style">
<xsl:call-template name="displayAdmonitionName"/>
</fo:block>
<fo:block xsl:use-attribute-sets="admonition-p-style">
<xsl:apply-templates select="node()[not(local-name() = 'name')]"/>
</fo:block>
</fo:block-container>
</fo:block-container>
</xsl:template>
<xsl:template name="displayAdmonitionName">
<xsl:param name="sep"/> <!-- Example: ' - ' -->
<!-- <xsl:choose>
<xsl:when test="$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 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="$admonition_type = ''">
<xsl:value-of select="java:toUpperCase(java:java.lang.String.new(.))"/>
</xsl:if>
</xsl:template> -->
<xsl:template match="*[local-name() = 'admonition']/*[local-name() = 'p']">
<fo:block xsl:use-attribute-sets="admonition-p-style">
<xsl:apply-templates/>
</fo:block>
</xsl:template>
<!-- ================ -->
<!-- END Admonition -->
<!-- ================ -->
<!-- ===================================== -->
<!-- Update xml -->
<!-- ===================================== -->
<xsl:template name="updateXML">
<xsl:if test="$debug = 'true'"><xsl:message>START updated_xml_step1</xsl:message></xsl:if>
<xsl:variable name="startTime1" select="java:getTime(java:java.util.Date.new())"/>
<!-- STEP1: Re-order elements in 'preface', 'sections' based on @displayorder -->
<xsl:variable name="updated_xml_step1">
<xsl:if test="$table_if = 'false'">
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:if>
</xsl:variable>
<xsl:variable name="endTime1" select="java:getTime(java:java.util.Date.new())"/>
<xsl:if test="$debug = 'true'">
<xsl:message>DEBUG: processing time <xsl:value-of select="$endTime1 - $startTime1"/> msec.</xsl:message>
<xsl:message>END updated_xml_step1</xsl:message>
<!-- <redirect:write file="updated_xml_step1_{java:getTime(java:java.util.Date.new())}.xml">
<xsl:copy-of select="$updated_xml_step1"/>
</redirect:write> -->
</xsl:if>
<xsl:if test="$debug = 'true'"><xsl:message>START updated_xml_step2</xsl:message></xsl:if>
<xsl:variable name="startTime2" select="java:getTime(java:java.util.Date.new())"/>
<!-- STEP2: add 'fn' after 'eref' and 'origin', if referenced to bibitem with 'note' = Withdrawn.' or 'Cancelled and replaced...' -->
<xsl:variable name="updated_xml_step2">
<xsl:if test="$table_if = 'false'">
<xsl:copy-of select="$updated_xml_step1"/>
</xsl:if>
</xsl:variable>
<xsl:variable name="endTime2" select="java:getTime(java:java.util.Date.new())"/>
<xsl:if test="$debug = 'true'">
<xsl:message>DEBUG: processing time <xsl:value-of select="$endTime2 - $startTime2"/> msec.</xsl:message>
<xsl:message>END updated_xml_step2</xsl:message>
<!-- <redirect:write file="updated_xml_step2_{java:getTime(java:java.util.Date.new())}.xml">
<xsl:copy-of select="$updated_xml_step2"/>
</redirect:write> -->
</xsl:if>
<xsl:if test="$debug = 'true'"><xsl:message>START updated_xml_step3</xsl:message></xsl:if>
<xsl:variable name="startTime3" select="java:getTime(java:java.util.Date.new())"/>
<xsl:variable name="updated_xml_step3">
<xsl:choose>
<xsl:when test="$table_if = 'false'">
<xsl:apply-templates select="xalan:nodeset($updated_xml_step2)" mode="update_xml_enclose_keep-together_within-line"/>
</xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="." mode="update_xml_enclose_keep-together_within-line"/>
</xsl:otherwise>
</xsl:choose>
</xsl:variable>
<xsl:variable name="endTime3" select="java:getTime(java:java.util.Date.new())"/>
<xsl:if test="$debug = 'true'">
<xsl:message>DEBUG: processing time <xsl:value-of select="$endTime3 - $startTime3"/> msec.</xsl:message>
<xsl:message>END updated_xml_step3</xsl:message>
<!-- <redirect:write file="updated_xml_step3_{java:getTime(java:java.util.Date.new())}.xml">
<xsl:copy-of select="$updated_xml_step3"/>
</redirect:write> -->
</xsl:if>
<!-- <xsl:if test="$debug = 'true'"><xsl:message>START copying updated_xml_step3</xsl:message></xsl:if>
<xsl:variable name="startTime4" select="java:getTime(java:java.util.Date.new())"/> -->
<xsl:copy-of select="$updated_xml_step3"/>
<!-- <xsl:variable name="endTime4" select="java:getTime(java:java.util.Date.new())"/>
<xsl:if test="$debug = 'true'">
<xsl:message>DEBUG: processing time <xsl:value-of select="$endTime4 - $startTime4"/> msec.</xsl:message>
<xsl:message>END copying updated_xml_step3</xsl:message>
</xsl:if> -->
</xsl:template>
<!-- =========================================================================== -->
<!-- STEP1: -->
<!-- - Re-order elements in 'preface', 'sections' based on @displayorder -->
<!-- - Put Section title in the correct position -->
<!-- - Ignore 'span' without style -->
<!-- - Remove semantic xml part -->
<!-- - Remove image/emf (EMF vector image for Word) -->
<!-- - add @id, redundant for table auto-layout algorithm -->
<!-- - process 'passthrough' element -->
<!-- - split math by element with @linebreak into maths -->
<!-- - rename fmt-title to title, fmt-name to name and another changes to convert new presentation XML to -->
<!-- - old XML without significant changes in XSLT -->
<!-- =========================================================================== -->
<xsl:template match="@*|node()" mode="update_xml_step1">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="update_xml_step1"/>
</xsl:copy>
</xsl:template>
<xsl:template match="@*|node()" mode="update_xml_pres">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="update_xml_pres"/>
</xsl:copy>
</xsl:template>
<!-- change section's order based on @displayorder value -->
<xsl:template match="*[local-name() = 'preface']" mode="update_xml_step1">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:variable name="nodes_preface_">
<xsl:for-each select="*">
<node id="{@id}"/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="nodes_preface" select="xalan:nodeset($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 = $preceding-sibling_id and not(@displayorder)]" mode="update_xml_step1"/>
</xsl:if>
<xsl:choose>
<xsl:when test="@type = 'section-title' and not(@displayorder)"><!-- skip, don't copy, because copied in above 'apply-templates' --></xsl:when>
<xsl:otherwise>
<xsl:apply-templates select="." mode="update_xml_step1"/>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'sections']" mode="update_xml_step1">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:variable name="nodes_sections_">
<xsl:for-each select="*">
<node id="{@id}"/>
</xsl:for-each>
</xsl:variable>
<xsl:variable name="nodes_sections" select="xalan:nodeset($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 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 match="*[local-name() = 'span'][@style or @class = 'stdpublisher' or @class = 'stddocNumber' or @class = 'stddocPartNumber' or @class = 'stdyear' or @class = 'horizontal' or @class = 'norotate' or @class = 'halffontsize']" 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 match="*[local-name() = 'span']" mode="update_xml_step1">
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:template>
<xsl:template 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 match="*[local-name() = 'metanorma-extension']/*[local-name() = 'metanorma']/*[local-name() = 'source']" mode="update_xml_step1"/>
<xsl:template match="*[local-name() = 'metanorma-extension']/*[local-name() = 'metanorma']/*[local-name() = 'source']" mode="update_xml_pres"/>
<!-- remove image/emf -->
<xsl:template match="*[local-name() = 'image']/*[local-name() = 'emf']" mode="update_xml_step1"/>
<xsl:template match="*[local-name() = 'image']/*[local-name() = 'emf']" mode="update_xml_pres"/>
<!-- remove preprocess-xslt -->
<xsl:template match="*[local-name() = 'preprocess-xslt']" mode="update_xml_step1"/>
<xsl:template match="*[local-name() = 'preprocess-xslt']" mode="update_xml_pres"/>
<xsl:template match="*[local-name() = 'stem'][not(.//*[local-name() = 'passthrough']) and not(.//*[@linebreak])] | *[local-name() = 'image'][not(.//*[local-name() = 'passthrough'])] | *[local-name() = 'sourcecode'][not(.//*[local-name() = 'passthrough']) and not(.//*[local-name() = 'fmt-name'])] | *[local-name() = 'bibdata'][not(.//*[local-name() = 'passthrough'])] | *[local-name() = 'localized-strings']" mode="update_xml_step1">
<xsl:copy-of select="."/>
</xsl:template>
<xsl:template match="*[local-name() = 'metanorma-extension']/*[local-name() = 'attachment']" mode="update_xml_step1">
<xsl:copy>
<xsl:copy-of select="@*"/>
<xsl:if test="1 = 2"> <!-- remove attachment/text(), because attachments added in the template 'addPDFUAmeta' before applying 'update_xml_step1' -->
<xsl:variable name="name_filepath" select="concat($inputxml_basepath, @name)"/>
<xsl:variable name="file_exists" select="normalize-space(java:exists(java:java.io.File.new($name_filepath)))"/>
<xsl:if test="$file_exists = 'false'"> <!-- copy attachment content only if file on disk doesnt exist -->
<xsl:value-of select="normalize-space(.)"/>
</xsl:if>
</xsl:if>
</xsl:copy>
</xsl:template>
<!-- add @id, mandatory for table auto-layout algorithm -->
<xsl:template 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 match="*[local-name() = 'table']/*[local-name() = 'thead'][count(*) = 0]" mode="update_xml_step1"/>
<xsl:template name="add_id">
<xsl:if test="not(@id)">
<!-- add @id - first element with @id plus '_element_name' -->
<xsl:variable name="prefix_id_" select="(.//*[@id])[1]/@id"/>
<xsl:variable name="prefix_id"><xsl:value-of select="$prefix_id_"/><xsl:if test="normalize-space($prefix_id_) = ''"><xsl:value-of select="generate-id()"/></xsl:if></xsl:variable>
<xsl:attribute name="id"><xsl:value-of select="$prefix_id"/>_<xsl:value-of select="local-name()"/></xsl:attribute>
</xsl:if>
</xsl:template>
<!-- optimization: remove clause if table_only_with_id isn't empty and clause doesn't contain table or dl with table_only_with_id -->
<xsl:template match="*[local-name() = 'clause' or local-name() = 'p' or local-name() = 'definitions' or local-name() = 'annex']" mode="update_xml_step1">
<xsl:choose>
<xsl:when test="($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>
<xsl:variable name="regex_passthrough">.*\bpdf\b.*</xsl:variable>
<xsl:template match="*[local-name() = 'passthrough']" mode="update_xml_step1">
<!-- <xsl:if test="contains(@formats, ' pdf ')"> -->
<xsl:if test="normalize-space(java:matches(java:java.lang.String.new(@formats), $regex_passthrough)) = 'true'">
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:if>
</xsl:template>
<!-- split math by element with @linebreak into maths -->
<xsl:template match="mathml:math[.//mathml:mo[@linebreak] or .//mathml:mspace[@linebreak]]" mode="update_xml_step1">
<xsl:variable name="maths">
<xsl:apply-templates select="." mode="mathml_linebreak"/>
</xsl:variable>
<xsl:copy-of select="$maths"/>
</xsl:template>
<!-- update new Presentation XML -->
<xsl:template match="*[local-name() = 'title'][following-sibling::*[1][local-name() = 'fmt-title']]" mode="update_xml_step1"/>
<xsl:template match="*[local-name() = 'title'][following-sibling::*[1][local-name() = 'fmt-title']]" mode="update_xml_pres"/>
<xsl:template match="*[local-name() = 'name'][following-sibling::*[1][local-name() = 'fmt-name']]" mode="update_xml_step1"/>
<xsl:template match="*[local-name() = 'name'][following-sibling::*[1][local-name() = 'fmt-name']]" mode="update_xml_pres"/>
<xsl:template match="*[local-name() = 'section-title'][following-sibling::*[1][local-name() = 'p'][@type = 'section-title' or @type = 'floating-title']]" mode="update_xml_step1"/>
<xsl:template match="*[local-name() = 'section-title'][following-sibling::*[1][local-name() = 'p'][@type = 'section-title' or @type = 'floating-title']]" mode="update_xml_pres"/>
<xsl:template match="*[local-name() = 'p'][@type = 'section-title' or @type = 'floating-title'][preceding-sibling::*[1][local-name() = 'section-title']]" mode="update_xml_step1">
<xsl:copy>
<xsl:apply-templates select="@*" mode="update_xml_step1"/>
<xsl:copy-of select="preceding-sibling::*[1][local-name() = 'section-title']/@depth"/>
<xsl:apply-templates select="node()" mode="update_xml_step1"/>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'p'][@type = 'section-title' or @type = 'floating-title'][preceding-sibling::*[1][local-name() = 'section-title']]" mode="update_xml_pres">
<xsl:copy>
<xsl:apply-templates select="@*" mode="update_xml_pres"/>
<xsl:copy-of select="preceding-sibling::*[1][local-name() = 'section-title']/@depth"/>
<xsl:apply-templates select="node()" mode="update_xml_pres"/>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'fmt-title']"/>
<xsl:template match="*[local-name() = 'fmt-title']" mode="update_xml_step1">
<xsl:element name="title" namespace="{$namespace_full}">
<xsl:copy-of select="@*"/>
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:element>
</xsl:template>
<xsl:template match="*[local-name() = 'fmt-title']" mode="update_xml_pres">
<xsl:element name="title" namespace="{$namespace_full}">
<xsl:copy-of select="@*"/>
<xsl:apply-templates mode="update_xml_pres"/>
</xsl:element>
</xsl:template>
<xsl:template match="*[local-name() = 'fmt-name']"/>
<xsl:template match="*[local-name() = 'fmt-name']" mode="update_xml_step1">
<xsl:element name="name" namespace="{$namespace_full}">
<xsl:copy-of select="@*"/>
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:element>
</xsl:template>
<xsl:template match="*[local-name() = 'fmt-name']" mode="update_xml_pres">
<xsl:element name="name" namespace="{$namespace_full}">
<xsl:copy-of select="@*"/>
<xsl:apply-templates mode="update_xml_pres"/>
</xsl:element>
</xsl:template>
<xsl:template match="*[local-name() = 'span'][ @class = 'fmt-caption-label' or @class = 'fmt-element-name' or @class = 'fmt-caption-delim' or @class = 'fmt-autonum-delim']" mode="update_xml_step1" priority="3">
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:template>
<xsl:template match="*[local-name() = 'span'][ @class = 'fmt-caption-label' or @class = 'fmt-element-name' or @class = 'fmt-caption-delim' or @class = 'fmt-autonum-delim']" mode="update_xml_pres" priority="3">
<xsl:apply-templates mode="update_xml_pres"/>
</xsl:template>
<xsl:template match="*[local-name() = 'semx']" mode="update_xml_step1">
<xsl:apply-templates mode="update_xml_step1"/>
</xsl:template>
<xsl:template match="*[local-name() = 'semx']" mode="update_xml_pres">
<xsl:apply-templates mode="update_xml_pres"/>
</xsl:template>
<xsl:template match="*[local-name() = 'fmt-xref-label']"/>
<xsl:template match="*[local-name() = 'fmt-xref-label']" mode="update_xml_step1"/>
<xsl:template match="*[local-name() = 'fmt-xref-label']" mode="update_xml_pres"/>
<!-- END: update new Presentation XML -->
<!-- =========================================================================== -->
<!-- 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 match="@*|node()" mode="update_xml_step_move_pagebreak">
<xsl:param name="page_sequence_at_top">false</xsl:param>
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="update_xml_step_move_pagebreak">
<xsl:with-param name="page_sequence_at_top" select="$page_sequence_at_top"/>
</xsl:apply-templates>
</xsl:copy>
</xsl:template>
<!-- replace 'pagebreak' by closing tags + page_sequence and opening page_sequence + tags -->
<xsl:template match="*[local-name() = 'pagebreak'][not(following-sibling::*[1][local-name() = 'pagebreak'])]" mode="update_xml_step_move_pagebreak">
<xsl:param name="page_sequence_at_top"/>
<!-- <xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'sections']">
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'annex']">
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="."/>
</xsl:otherwise>
</xsl:choose> -->
<!-- determine pagebreak is last element before </fo:flow> or not -->
<xsl:variable name="isLast">
<xsl:for-each select="ancestor-or-self::*[ancestor::*[local-name() = 'preface'] or ancestor::*[local-name() = 'sections'] or ancestor-or-self::*[local-name() = 'annex']]">
<xsl:if test="following-sibling::*">false</xsl:if>
</xsl:for-each>
</xsl:variable>
<xsl:if test="contains($isLast, 'false')">
<xsl:variable name="orientation" select="normalize-space(@orientation)"/>
<xsl:variable name="tree_">
<xsl:call-template name="makeAncestorsElementsTree">
<xsl:with-param name="page_sequence_at_top" select="$page_sequence_at_top"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="tree" select="xalan:nodeset($tree_)"/>
<!-- close fo:page-sequence (closing preceding fo elements) -->
<xsl:call-template name="insertClosingElements">
<xsl:with-param name="tree" select="$tree"/>
</xsl:call-template>
<xsl:text disable-output-escaping="yes"></page_sequence></xsl:text>
<!-- create a new page_sequence (opening elements) -->
<xsl:text disable-output-escaping="yes"><page_sequence xmlns="</xsl:text><xsl:value-of select="$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="$tree"/>
</xsl:call-template>
</xsl:if>
</xsl:template>
<xsl:template name="makeAncestorsElementsTree">
<xsl:param name="page_sequence_at_top"/>
<xsl:choose>
<xsl:when test="$page_sequence_at_top = 'true'">
<xsl:for-each select="ancestor::*[ancestor::*[contains(local-name(), '-standard')]]">
<element pos="{position()}">
<xsl:copy-of select="@*[local-name() != 'id']"/>
<xsl:value-of select="name()"/>
</element>
</xsl:for-each>
</xsl:when>
<xsl:otherwise>
<xsl:for-each select="ancestor::*[ancestor::*[local-name() = 'preface'] or 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:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template 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 name="insertOpeningElements">
<xsl:param name="tree"/>
<xsl:param name="xmlns"/>
<xsl:param name="add_continue">true</xsl:param>
<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 and $add_continue = 'true'"> continue="true"</xsl:if>
<xsl:if test="position() = 1 and $xmlns != ''"> xmlns="<xsl:value-of select="$xmlns"/>"</xsl:if>
<xsl:text disable-output-escaping="yes">></xsl:text>
<xsl:if test="$debug = 'true'">
<xsl:message><<xsl:value-of select="."/>></xsl:message>
</xsl:if>
</xsl:for-each>
</xsl:template>
<!-- move full page width figures, tables at top level -->
<xsl:template match="*[local-name() = 'figure' or local-name() = 'table'][normalize-space(@width) != 'text-width']" mode="update_xml_step_move_pagebreak">
<xsl:param name="page_sequence_at_top">false</xsl:param>
<xsl:choose>
<xsl:when test="$layout_columns != 1">
<xsl:variable name="tree_">
<xsl:call-template name="makeAncestorsElementsTree">
<xsl:with-param name="page_sequence_at_top" select="$page_sequence_at_top"/>
</xsl:call-template>
</xsl:variable>
<xsl:variable name="tree" select="xalan:nodeset($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 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 name="express_reference_separators">_.\</xsl:variable>
<xsl:variable name="express_reference_characters" select="concat($upper,$lower,'1234567890',$express_reference_separators)"/>
<xsl:variable name="regex_express_reference">(^([A-Za-z0-9_.\\]+)$)</xsl:variable>
<xsl:variable name="element_name_keep-together_within-line">keep-together_within-line</xsl:variable>
<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>
<!-- \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="$regex_S"/>{1,3})\b)</xsl:variable>
<xsl:variable name="non_white_space">[^\s\u3000-\u9FFF]</xsl:variable>
<xsl:variable name="regex_dots_units">((\b((<xsl:value-of select="$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:template 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 ancestor::*[local-name() = 'name'] or starts-with(., 'http://') or starts-with(., 'https://') or starts-with(., 'www.') or normalize-space() = '' )]" name="keep_together_standard_number" mode="update_xml_enclose_keep-together_within-line">
<xsl:variable name="parent" select="local-name(..)"/>
<xsl:if test="1 = 2"> <!-- alternative variant -->
<xsl:variable name="regexs">
<!-- enclose standard's number into tag 'keep-together_within-line' -->
<xsl:if test="not(ancestor::*[local-name() = 'table'])"><regex><xsl:value-of select="$regex_standard_reference"/></regex></xsl:if>
<!-- if EXPRESS reference -->
<!-- keep-together_within-line for: a/b, aaa/b, a/bbb, /b -->
<regex><xsl:value-of select="$regex_solidus_units"/></regex>
<!-- keep-together_within-line for: a.b, aaa.b, a.bbb, .b in table's cell ONLY -->
<xsl:if test="ancestor::*[local-name() = 'td' or local-name() = 'th']">
<regex><xsl:value-of select="$regex_dots_units"/></regex>
</xsl:if>
</xsl:variable>
<xsl:variable name="regex_replacement"><xsl:text>(</xsl:text>
<xsl:for-each select="xalan:nodeset($regexs)/regex">
<xsl:value-of select="."/>
<xsl:if test="position() != last()">|</xsl:if>
</xsl:for-each>
<xsl:text>)</xsl:text>
</xsl:variable>
<!-- regex_replacement='<xsl:value-of select="$regex_replacement"/>' -->
<xsl:variable name="text_replaced" select="java:replaceAll(java:java.lang.String.new(.), $regex_replacement, concat($tag_keep-together_within-line_open,'$1',$tag_keep-together_within-line_close))"/>
<!-- text_replaced='<xsl:value-of select="$text_replaced"/>' -->
<xsl:call-template name="replace_text_tags">
<xsl:with-param name="tag_open" select="$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_replaced"/>
</xsl:call-template>
</xsl:if>
<xsl:if test="1 = 1">
<!-- enclose standard's number into tag 'keep-together_within-line' -->
<xsl:variable name="text">
<xsl:element name="text" namespace="{$namespace_full}">
<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: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:value-of select="$text__"/> -->
<xsl:call-template name="replace_text_tags">
<xsl:with-param name="tag_open" select="$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>
</xsl:otherwise>
</xsl:choose>
</xsl:element>
</xsl:variable>
<xsl:variable name="text2">
<xsl:element name="text" namespace="{$namespace_full}">
<xsl:for-each select="xalan:nodeset($text)/*[local-name() = 'text']/node()">
<xsl:copy-of select="."/>
</xsl:for-each>
</xsl:element>
</xsl:variable>
<!-- keep-together_within-line for: a/b, aaa/b, a/bbb, /b -->
<xsl:variable name="text3">
<xsl:element name="text" namespace="{$namespace_full}">
<xsl:for-each select="xalan:nodeset($text2)/*[local-name() = '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">
<xsl:element name="text" namespace="{$namespace_full}"> -->
<xsl:call-template name="replace_text_tags">
<xsl:with-param name="tag_open" select="$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>
<!-- </xsl:element>
</xsl:variable>
<xsl:copy-of select="xalan:nodeset($text_units)/*[local-name() = 'text']/node()"/> -->
</xsl:when>
<xsl:otherwise><xsl:copy-of select="."/></xsl:otherwise> <!-- copy 'as-is' for <fo:inline keep-together.within-line="always" ... -->
</xsl:choose>
</xsl:for-each>
</xsl:element>
</xsl:variable>
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'td' or local-name() = 'th']">
<!-- keep-together_within-line for: a.b, aaa.b, a.bbb, .b in table's cell ONLY -->
<xsl:for-each select="xalan:nodeset($text3)/*[local-name() = '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">
<xsl:element name="text" namespace="{$namespace_full}"> -->
<xsl:call-template name="replace_text_tags">
<xsl:with-param name="tag_open" select="$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>
<!-- </xsl:element>
</xsl:variable>
<xsl:copy-of select="xalan:nodeset($text_dots)/*[local-name() = 'text']/node()"/> -->
</xsl:when>
<xsl:otherwise><xsl:copy-of select="."/></xsl:otherwise> <!-- copy 'as-is' for <fo:inline keep-together.within-line="always" ... -->
</xsl:choose>
</xsl:for-each>
</xsl:when>
<xsl:otherwise><xsl:copy-of select="xalan:nodeset($text3)/*[local-name() = 'text']/node()"/></xsl:otherwise>
</xsl:choose>
</xsl:if>
</xsl:template>
<xsl:template match="*[local-name() = 'stem'] | *[local-name() = 'image']" mode="update_xml_enclose_keep-together_within-line">
<xsl:copy-of select="."/>
</xsl:template>
<xsl:template 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, '###'),'###')}" namespace="{$namespace_full}">
<xsl:value-of select="substring-before($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 match="@*|node()" mode="linear_xml">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="linear_xml"/>
</xsl:copy>
</xsl:template>
<xsl:template 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 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 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="$level"/></xsl:attribute>
<xsl:attribute name="ancestor">sections</xsl:attribute>
<xsl:apply-templates select="node()[not(local-name() = 'term')]" mode="linear_xml"/>
</xsl:copy>
<xsl:apply-templates select="*[local-name() = 'term']" mode="linear_xml"/>
</xsl:template>
<xsl:template match="*[local-name() = 'introduction']//*[local-name() = 'title'] | *[local-name() = 'foreword']//*[local-name() = 'title'] | *[local-name() = 'preface']//*[local-name() = 'title'] | *[local-name() = 'sections']//*[local-name() = 'title'] | *[local-name() = 'annex']//*[local-name() = 'title'] | *[local-name() = 'bibliography']/*[local-name() = 'clause']/*[local-name() = 'title'] | *[local-name() = 'references']/*[local-name() = 'title'] | *[local-name() = 'colophon']//*[local-name() = 'title']" mode="linear_xml" priority="2">
<xsl:copy>
<xsl:apply-templates select="@*" mode="linear_xml"/>
<xsl:attribute name="keep-with-next">always</xsl:attribute>
<xsl:variable name="level">
<xsl:call-template name="getLevel"/>
</xsl:variable>
<xsl:attribute name="depth"><xsl:value-of select="$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 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 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 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 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="$text"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="*[local-name() = 'inlineChar']">
<fo:inline><xsl:value-of select="."/></fo:inline>
</xsl:template>
<!-- change @reference to actual value, and add skip_footnote_body="true" for repeatable (2nd, 3rd, ...) -->
<!--
<fn reference="1">
<p id="_8e5cf917-f75a-4a49-b0aa-1714cb6cf954">Formerly denoted as 15 % (m/m).</p>
</fn>
-->
<xsl:template match="*[local-name() = 'fn'][not(ancestor::*[(local-name() = 'table' or local-name() = 'figure')] and not(ancestor::*[local-name() = 'name']))]" mode="linear_xml" name="linear_xml_fn">
<xsl:variable name="p_fn_">
<xsl:call-template name="get_fn_list"/>
<!-- <xsl:choose>
<xsl:when test="$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, '_', $current_fn_number)"/>
</xsl:attribute>
<xsl:apply-templates select="node()" mode="linear_xml"/>
</xsl:copy>
</xsl:template>
<xsl:template match="*[local-name() = 'p'][@type = 'section-title']" priority="3" mode="linear_xml">
<xsl:copy>
<xsl:apply-templates select="@*" mode="linear_xml"/>
<xsl:if test="@depth = '1'">
<xsl:attribute name="mainsection">true</xsl:attribute>
</xsl:if>
<xsl:apply-templates select="node()" mode="linear_xml"/>
</xsl:copy>
</xsl:template>
<!-- ===================================== -->
<!-- ===================================== -->
<!-- END: Make linear XML (need for landscape orientation) -->
<!-- ===================================== -->
<!-- ===================================== -->
<!-- for correct rendering combining chars -->
<xsl:template match="*[local-name() = 'lang_none']">
<fo:inline xml:lang="none"><xsl:value-of select="."/></fo:inline>
</xsl:template>
<xsl:template name="printEdition">
<xsl:variable name="edition_i18n" select="normalize-space((//*[contains(local-name(), '-standard')])[1]/*[local-name() = 'bibdata']/*[local-name() = 'edition'][normalize-space(@language) != ''])"/>
<xsl:choose>
<xsl:when test="$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="$edition"/>
</xsl:if>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- convert YYYY-MM-DD to 'Month YYYY' or 'Month DD, YYYY' or DD Month YYYY -->
<xsl:template name="convertDate">
<xsl:param name="date"/>
<xsl:param name="format" select="'short'"/>
<xsl:variable name="year" select="substring($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 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 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="$monthStr"/></xsl:with-param>
</xsl:call-template>
</xsl:template> <!-- getMonthLocalizedByNum -->
<xsl:template name="insertKeywords">
<xsl:param name="sorting" select="'true'"/>
<xsl:param name="meta" select="'false'"/>
<xsl:param name="charAtEnd" select="'.'"/>
<xsl:param name="charDelim" select="', '"/>
<xsl:choose>
<xsl:when test="$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="$charDelim"/>
</xsl:call-template>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="insertKeyword">
<xsl:param name="charAtEnd"/>
<xsl:param name="charDelim"/>
<xsl:param name="meta"/>
<xsl:choose>
<xsl:when test="$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 name="addPDFUAmeta">
<pdf:catalog>
<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#">
<!-- Commented after upgrade to Apache FOP 2.10
<rdf:Description xmlns:pdfaExtension="http://www.aiim.org/pdfa/ns/extension/" xmlns:pdfaProperty="http://www.aiim.org/pdfa/ns/property#" xmlns:pdfaSchema="http://www.aiim.org/pdfa/ns/schema#" rdf:about="">
<pdfaExtension:schemas>
<rdf:Bag>
<rdf:li rdf:parseType="Resource">
<pdfaSchema:namespaceURI>http://www.aiim.org/pdfua/ns/id/</pdfaSchema:namespaceURI>
<pdfaSchema:prefix>pdfuaid</pdfaSchema:prefix>
<pdfaSchema:schema>PDF/UA identification schema</pdfaSchema:schema>
<pdfaSchema:property>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<pdfaProperty:category>internal</pdfaProperty:category>
<pdfaProperty:description>PDF/UA version identifier</pdfaProperty:description>
<pdfaProperty:name>part</pdfaProperty:name>
<pdfaProperty:valueType>Integer</pdfaProperty:valueType>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<pdfaProperty:category>internal</pdfaProperty:category>
<pdfaProperty:description>PDF/UA amendment identifier</pdfaProperty:description>
<pdfaProperty:name>amd</pdfaProperty:name>
<pdfaProperty:valueType>Text</pdfaProperty:valueType>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<pdfaProperty:category>internal</pdfaProperty:category>
<pdfaProperty:description>PDF/UA corrigenda identifier</pdfaProperty:description>
<pdfaProperty:name>corr</pdfaProperty:name>
<pdfaProperty:valueType>Text</pdfaProperty:valueType>
</rdf:li>
</rdf:Seq>
</pdfaSchema:property>
</rdf:li>
</rdf:Bag>
</pdfaExtension:schemas>
</rdf:Description> -->
<rdf:Description xmlns:pdf="http://ns.adobe.com/pdf/1.3/" xmlns:dc="http://purl.org/dc/elements/1.1/" 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 = $lang]"/>
</xsl:for-each>
</xsl:variable>
<rdf:Alt>
<rdf:li xml:lang="x-default">
<xsl:choose>
<xsl:when test="normalize-space($title) != ''">
<xsl:value-of select="$title"/>
</xsl:when>
<xsl:otherwise>
<xsl:text> </xsl:text>
</xsl:otherwise>
</xsl:choose>
</rdf:li>
</rdf:Alt>
</dc:title>
<xsl:variable name="dc_creator">
<xsl:for-each select="(//*[contains(local-name(), '-standard')])[1]/*[local-name() = 'bibdata']">
<rdf:Seq>
<xsl:for-each select="*[local-name() = 'contributor'][*[local-name() = 'role']/@type='author']">
<rdf:li>
<xsl:value-of select="*[local-name() = 'organization']/*[local-name() = 'name']"/>
</rdf:li>
<!-- <xsl:if test="position() != last()">; </xsl:if> -->
</xsl:for-each>
</rdf:Seq>
</xsl:for-each>
</xsl:variable>
<xsl:if test="normalize-space($dc_creator) != ''">
<dc:creator>
<xsl:copy-of select="$dc_creator"/>
</dc:creator>
</xsl:if>
<xsl:variable name="dc_description">
<xsl:variable name="abstract">
<xsl:copy-of select="//*[contains(local-name(), '-standard')]/*[local-name() = 'preface']/*[local-name() = 'abstract']//text()[not(ancestor::*[local-name() = 'fmt-title']) and not(ancestor::*[local-name() = 'title']) and not(ancestor::*[local-name() = 'fmt-xref-label'])]"/>
</xsl:variable>
<rdf:Alt>
<rdf:li xml:lang="x-default">
<xsl:value-of select="normalize-space($abstract)"/>
</rdf:li>
</rdf:Alt>
</xsl:variable>
<xsl:if test="normalize-space($dc_description)">
<dc:description>
<xsl:copy-of select="$dc_description"/>
</dc:description>
</xsl:if>
<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:variable name="bibitem_attachment_" select="//*[local-name() = 'bibitem'][@hidden = 'true'][*[local-name() = 'uri'][@type = 'attachment'] = current()/@name]"/>
<xsl:variable name="bibitem_attachment" select="xalan:nodeset($bibitem_attachment_)"/>
<xsl:variable name="description" select="normalize-space($bibitem_attachment/*[local-name() = 'formattedref'])"/>
<xsl:variable name="filename" select="java:org.metanorma.fop.Util.getFilenameFromPath(@name)"/>
<!-- Todo: need update -->
<xsl:variable name="afrelationship" select="normalize-space($bibitem_attachment//*[local-name() = 'classification'][@type = 'pdf-AFRelationship'])"/>
<xsl:variable name="volatile" select="normalize-space($bibitem_attachment//*[local-name() = 'classification'][@type = 'pdf-volatile'])"/>
<pdf:embedded-file filename="{$filename}" link-as-file-annotation="true">
<xsl:attribute name="src">
<xsl:choose>
<xsl:when test="normalize-space() != ''">
<xsl:variable name="src_attachment" select="java:replaceAll(java:java.lang.String.new(.),'( | | )', '')"/> <!-- remove line breaks -->
<xsl:value-of select="$src_attachment"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="url" select="concat('url(file:///',$inputxml_basepath , @name, ')')"/>
<xsl:value-of select="$url"/>
</xsl:otherwise>
</xsl:choose>
</xsl:attribute>
<xsl:if test="$description != ''">
<xsl:attribute name="description"><xsl:value-of select="$description"/></xsl:attribute>
</xsl:if>
<xsl:if test="$afrelationship != ''">
<xsl:attribute name="afrelationship"><xsl:value-of select="$afrelationship"/></xsl:attribute>
</xsl:if>
<xsl:if test="$volatile != ''">
<xsl:attribute name="volatile"><xsl:value-of select="$volatile"/></xsl:attribute>
</xsl:if>
</pdf:embedded-file>
</xsl:for-each>
<!-- references to external attachments (no binary-encoded within the Metanorma XML file) -->
<xsl:if test="not(//*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'attachment'])">
<xsl:for-each select="//*[local-name() = 'bibitem'][@hidden = 'true'][*[local-name() = 'uri'][@type = 'attachment']]">
<xsl:variable name="attachment_path" select="*[local-name() = 'uri'][@type = 'attachment']"/>
<xsl:variable name="attachment_name" select="java:org.metanorma.fop.Util.getFilenameFromPath($attachment_path)"/>
<xsl:variable name="url" select="concat('url(file:///',$basepath, $attachment_path, ')')"/>
<xsl:variable name="description" select="normalize-space(*[local-name() = 'formattedref'])"/>
<!-- Todo: need update -->
<xsl:variable name="afrelationship" select="normalize-space(.//*[local-name() = 'classification'][@type = 'pdf-AFRelationship'])"/>
<xsl:variable name="volatile" select="normalize-space(.//*[local-name() = 'classification'][@type = 'pdf-volatile'])"/>
<pdf:embedded-file src="{$url}" filename="{$attachment_name}" link-as-file-annotation="true">
<xsl:if test="$description != ''">
<xsl:attribute name="description"><xsl:value-of select="$description"/></xsl:attribute>
</xsl:if>
<xsl:if test="$afrelationship != ''">
<xsl:attribute name="afrelationship"><xsl:value-of select="$afrelationship"/></xsl:attribute>
</xsl:if>
<xsl:if test="$volatile != ''">
<xsl:attribute name="volatile"><xsl:value-of select="$volatile"/></xsl:attribute>
</xsl:if>
</pdf:embedded-file>
</xsl:for-each>
</xsl:if>
</xsl:template> <!-- addPDFUAmeta -->
<xsl:template name="getId">
<xsl:choose>
<xsl:when test="../@id">
<xsl:value-of select="../@id"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="concat(generate-id(..), '_', text())"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- Get or calculate depth of the element -->
<xsl:template name="getLevel">
<xsl:param name="depth"/>
<!-- <xsl:message>
<xsl:choose>
<xsl:when test="local-name() = 'title'">title=<xsl:value-of select="."/></xsl:when>
<xsl:when test="local-name() = 'clause'">clause/title=<xsl:value-of select="*[local-name() = 'title']"/></xsl:when>
</xsl:choose>
</xsl:message> -->
<xsl:choose>
<xsl:when test="normalize-space(@depth) != ''">
<xsl:value-of select="@depth"/>
</xsl:when>
<xsl:when test="normalize-space($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'] and self::*[local-name() = 'title']">
<!-- determine 'depth' depends on upper clause with title/@depth -->
<!-- <xsl:message>title=<xsl:value-of select="."/></xsl:message> -->
<xsl:variable name="clause_with_depth_depth" select="ancestor::*[local-name() = 'clause'][*[local-name() = 'title']/@depth][1]/*[local-name() = 'title']/@depth"/>
<!-- <xsl:message>clause_with_depth_depth=<xsl:value-of select="$clause_with_depth_depth"/></xsl:message> -->
<xsl:variable name="clause_with_depth_level" select="count(ancestor::*[local-name() = 'clause'][*[local-name() = 'title']/@depth][1]/ancestor::*)"/>
<!-- <xsl:message>clause_with_depth_level=<xsl:value-of select="$clause_with_depth_level"/></xsl:message> -->
<xsl:variable name="curr_level" select="count(ancestor::*) - 1"/>
<!-- <xsl:message>curr_level=<xsl:value-of select="$curr_level"/></xsl:message> -->
<!-- <xsl:variable name="upper_clause_depth" select="normalize-space(ancestor::*[local-name() = 'clause'][2]/*[local-name() = 'title']/@depth)"/> -->
<xsl:variable name="curr_clause_depth" select="number($clause_with_depth_depth) + (number($curr_level) - number($clause_with_depth_level)) "/>
<!-- <xsl:message>curr_clause_depth=<xsl:value-of select="$curr_clause_depth"/></xsl:message> -->
<xsl:choose>
<xsl:when test="string(number($curr_clause_depth)) != 'NaN'">
<xsl:value-of select="number($curr_clause_depth)"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$level_total - 2"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'sections'] and self::*[local-name() = 'name'] and parent::*[local-name() = 'term']">
<xsl:variable name="upper_terms_depth" select="normalize-space(ancestor::*[local-name() = 'terms'][1]/*[local-name() = 'title']/@depth)"/>
<xsl:choose>
<xsl:when test="string(number($upper_terms_depth)) != 'NaN'">
<xsl:value-of select="number($upper_terms_depth + 1)"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$level_total - 2"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'sections']">
<xsl:variable name="upper_clause_depth" select="normalize-space(ancestor::*[local-name() = 'clause' or local-name() = 'terms'][1]/*[local-name() = 'title']/@depth)"/>
<xsl:choose>
<xsl:when test="string(number($upper_clause_depth)) != 'NaN'">
<xsl:value-of select="number($upper_clause_depth + 1)"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$level_total - 1"/>
</xsl:otherwise>
</xsl:choose>
</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'] and self::*[local-name() = 'title']">
<xsl:variable name="upper_clause_depth" select="normalize-space(ancestor::*[local-name() = 'clause'][2]/*[local-name() = 'title']/@depth)"/>
<xsl:choose>
<xsl:when test="string(number($upper_clause_depth)) != 'NaN'">
<xsl:value-of select="number($upper_clause_depth + 1)"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$level_total - 1"/>
</xsl:otherwise>
</xsl:choose>
</xsl:when>
<xsl:when test="ancestor::*[local-name() = 'annex']">
<xsl:value-of select="$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 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="$title_level + 1"/></xsl:when>
<xsl:otherwise>
<xsl:call-template name="getLevel"/>
</xsl:otherwise>
</xsl:choose>
</xsl:otherwise>
</xsl:choose>
</xsl:template> <!-- getLevelTermName -->
<!-- split string by separator -->
<xsl:template name="split">
<xsl:param name="pText" select="."/>
<xsl:param name="sep" select="','"/>
<xsl:param name="normalize-space" select="'true'"/>
<xsl:param name="keep_sep" select="'false'"/>
<xsl:if test="string-length($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 name="getDocumentId">
<xsl:call-template name="getLang"/><xsl:value-of select="//*[local-name() = 'p'][1]/@id"/>
</xsl:template>
<xsl:template name="getDocumentId_fromCurrentNode">
<xsl:call-template name="getLang_fromCurrentNode"/><xsl:value-of select=".//*[local-name() = 'p'][1]/@id"/>
</xsl:template>
<xsl:template name="namespaceCheck">
<xsl:variable name="documentNS" select="namespace-uri(/*)"/>
<xsl:variable name="XSLNS">
<xsl:value-of select="document('')//*/namespace::ogc"/>
</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="$XSLNS"/>'</xsl:message>
</xsl:if>
</xsl:template> <!-- namespaceCheck -->
<xsl:template name="getLanguage">
<xsl:param name="lang"/>
<xsl:variable name="language" select="java:toLowerCase(java:java.lang.String.new($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="$language"/></xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="setId">
<xsl:param name="prefix"/>
<xsl:attribute name="id">
<xsl:choose>
<xsl:when test="@id">
<xsl:value-of select="concat($prefix, @id)"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="concat($prefix, generate-id())"/>
</xsl:otherwise>
</xsl:choose>
</xsl:attribute>
</xsl:template>
<xsl:template name="add-letter-spacing">
<xsl:param name="text"/>
<xsl:param name="letter-spacing" select="'0.15'"/>
<xsl:if test="string-length($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 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 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:param name="bibdata_updated"/>
<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' and string-length($bibdata_updated) != ''">
<xsl:apply-templates select="xalan:nodeset($bibdata_updated)//*[local-name() = 'localized-string'][@key = $key and @language = $curr_lang]"/>
</xsl:when>
<xsl:when test="$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 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 name="LRM" select="''"/> <!-- U+200E - LEFT-TO-RIGHT MARK (LRM) -->
<xsl:variable name="RLM" select="''"/> <!-- U+200F - RIGHT-TO-LEFT MARK (RLM) -->
<xsl:template name="setWritingMode">
<xsl:if test="$lang = 'ar'">
<xsl:attribute name="writing-mode">rl-tb</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:template name="setAlignment">
<xsl:param name="align" select="normalize-space(@align)"/>
<xsl:choose>
<xsl:when test="$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="$align"/>
</xsl:when>
</xsl:choose>
</xsl:template>
<xsl:template name="setTextAlignment">
<xsl:param name="default">left</xsl:param>
<xsl:variable name="align" select="normalize-space(@align)"/>
<xsl:attribute name="text-align">
<xsl:choose>
<xsl:when test="$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="$align = 'indent'">
<xsl:attribute name="margin-left">7mm</xsl:attribute>
</xsl:if>
</xsl:template>
<xsl:template name="setBlockAttributes">
<xsl:param name="text_align_default">left</xsl:param>
<xsl:call-template name="setTextAlignment">
<xsl:with-param name="default" select="$text_align_default"/>
</xsl:call-template>
<xsl:call-template name="setKeepAttributes"/>
</xsl:template>
<xsl:template name="setKeepAttributes">
<!-- 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>
<!-- insert cover page image -->
<!-- background cover image -->
<xsl:template name="insertBackgroundPageImage">
<xsl:param name="number">1</xsl:param>
<xsl:param name="name">coverpage-image</xsl:param>
<xsl:param name="suffix"/>
<xsl:variable name="num" select="number($number)"/>
<!-- background image -->
<fo:block-container absolute-position="fixed" left="0mm" top="0mm" font-size="0" id="__internal_layout__coverpage{$suffix}_{$name}_{$number}_{generate-id()}">
<fo:block>
<xsl:for-each select="/*[contains(local-name(), '-standard')]/*[local-name() = 'metanorma-extension']/*[local-name() = 'presentation-metadata'][*[local-name() = 'name'] = $name][1]/*[local-name() = 'value']/*[local-name() = 'image'][$num]">
<xsl:choose>
<xsl:when test="*[local-name() = 'svg'] or java:endsWith(java:java.lang.String.new(@src), '.svg')">
<fo:instream-foreign-object fox:alt-text="Image Front">
<xsl:attribute name="content-height"><xsl:value-of select="$pageHeight"/>mm</xsl:attribute>
<xsl:call-template name="getSVG"/>
</fo:instream-foreign-object>
</xsl:when>
<xsl:when test="starts-with(@src, 'data:application/pdf;base64')">
<fo:external-graphic src="{@src}" fox:alt-text="Image Front"/>
</xsl:when>
<xsl:otherwise> <!-- bitmap image -->
<xsl:variable name="coverimage_src" select="normalize-space(@src)"/>
<xsl:if test="$coverimage_src != ''">
<xsl:variable name="coverpage">
<xsl:call-template name="getImageURL">
<xsl:with-param name="src" select="$coverimage_src"/>
</xsl:call-template>
</xsl:variable>
<!-- <xsl:variable name="coverpage" select="concat('url(file:',$basepath, 'coverpage1.png', ')')"/> --> <!-- for DEBUG -->
<fo:external-graphic src="{$coverpage}" width="{$pageWidth}mm" content-height="scale-to-fit" scaling="uniform" fox:alt-text="Image Front"/>
</xsl:if>
</xsl:otherwise>
</xsl:choose>
</xsl:for-each>
</fo:block>
</fo:block-container>
</xsl:template>
<xsl:template name="getImageURL">
<xsl:param name="src"/>
<xsl:choose>
<xsl:when test="starts-with($src, 'data:image')">
<xsl:value-of select="$src"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="src_external"><xsl:call-template name="getImageSrcExternal"/></xsl:variable>
<xsl:value-of select="concat('url(file:///', $src_external, ')')"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="getSVG">
<xsl:choose>
<xsl:when test="*[local-name() = 'svg']">
<xsl:apply-templates select="*[local-name() = 'svg']" mode="svg_update"/>
</xsl:when>
<xsl:otherwise>
<xsl:variable name="svg_content" select="document(@src)"/>
<xsl:for-each select="xalan:nodeset($svg_content)/node()">
<xsl:apply-templates select="." mode="svg_update"/>
</xsl:for-each>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<!-- END: insert cover page image -->
<!-- https://github.com/metanorma/docs/blob/main/109.adoc -->
<xsl:variable name="regex_ja_spec_half_width_">
\u0028 <!-- U+0028 LEFT PARENTHESIS (() -->
\u0029 <!-- U+0029 RIGHT PARENTHESIS ()) -->
\u007B <!-- U+007B LEFT CURLY BRACKET ({) -->
\u007D <!-- U+007D RIGHT CURLY BRACKET (}) -->
\uFF62 <!-- U+FF62 HALFWIDTH LEFT CORNER BRACKET (｢) -->
\uFF63 <!-- U+FF63 HALFWIDTH RIGHT CORNER BRACKET (｣) -->
\u005B <!-- U+005B LEFT SQUARE BRACKET ([) -->
\u005D <!-- U+005D RIGHT SQUARE BRACKET (]) -->
</xsl:variable>
<xsl:variable name="regex_ja_spec_half_width" select="translate(normalize-space($regex_ja_spec_half_width_), ' ', '')"/>
<xsl:variable name="regex_ja_spec_">[
<!-- Rotate 90° clockwise -->
<xsl:value-of select="$regex_ja_spec_half_width"/>
\uFF08 <!-- U+FF08 FULLWIDTH LEFT PARENTHESIS (（) -->
\uFF09 <!-- U+FF09 FULLWIDTH RIGHT PARENTHESIS (）) -->
\uFF5B <!-- U+FF5B FULLWIDTH LEFT CURLY BRACKET (｛) -->
\uFF5D <!-- U+FF5D FULLWIDTH RIGHT CURLY BRACKET (｝) -->
\u3014 <!-- U+3014 LEFT TORTOISE SHELL BRACKET (〔) -->
\u3015 <!-- U+3015 RIGHT TORTOISE SHELL BRACKET (〕) -->
\u3010 <!-- U+3010 LEFT BLACK LENTICULAR BRACKET (【) -->
\u3011 <!-- U+3011 RIGHT BLACK LENTICULAR BRACKET (】) -->
\u300A <!-- U+300A LEFT DOUBLE ANGLE BRACKET (《) -->
\u300B <!-- U+300B RIGHT DOUBLE ANGLE BRACKET (》) -->
\u300C <!-- U+300C LEFT CORNER BRACKET (「) -->
\u300D <!-- U+300D RIGHT CORNER BRACKET (」) -->
\u300E <!-- U+300E LEFT WHITE CORNER BRACKET (『) -->
\u300F <!-- U+300F RIGHT WHITE CORNER BRACKET (』) -->
\uFF3B <!-- U+FF3B FULLWIDTH LEFT SQUARE BRACKET (［) -->
\uFF3D <!-- U+FF3D FULLWIDTH RIGHT SQUARE BRACKET (］) -->
\u3008 <!-- U+3008 LEFT ANGLE BRACKET (〈) -->
\u3009 <!-- U+3009 RIGHT ANGLE BRACKET (〉) -->
\u3016 <!-- U+3016 LEFT WHITE LENTICULAR BRACKET (〖) -->
\u3017 <!-- U+3017 RIGHT WHITE LENTICULAR BRACKET (〗) -->
\u301A <!-- U+301A LEFT WHITE SQUARE BRACKET (〚) -->
\u301B <!-- U+301B RIGHT WHITE SQUARE BRACKET (〛) -->
\u301C <!-- U+301C WAVE DASH (〜) -->
\u3030 <!-- U+3030 WAVY DASH (〰 )-->
\u30FC <!-- U+30FC KATAKANA-HIRAGANA PROLONGED SOUND MARK (ー) -->
\u2329 <!-- U+2329 LEFT-POINTING ANGLE BRACKET (〈) -->
\u232A <!-- U+232A RIGHT-POINTING ANGLE BRACKET (〉) -->
\u3018 <!-- U+3018 LEFT WHITE TORTOISE SHELL BRACKET (〘) -->
\u3019 <!-- U+3019 RIGHT WHITE TORTOISE SHELL BRACKET (〙) -->
\u30A0 <!-- U+30A0 KATAKANA-HIRAGANA DOUBLE HYPHEN (゠) -->
\uFE59 <!-- U+FE59 SMALL LEFT PARENTHESIS (﹙) -->
\uFE5A <!-- U+FE5A SMALL RIGHT PARENTHESIS (﹚) -->
\uFE5B <!-- U+FE5B SMALL LEFT CURLY BRACKET (﹛) -->
\uFE5C <!-- U+FE5C SMALL RIGHT CURLY BRACKET (﹜) -->
\uFE5D <!-- U+FE5D SMALL LEFT TORTOISE SHELL BRACKET (﹝) -->
\uFE5E <!-- U+FE5E SMALL RIGHT TORTOISE SHELL BRACKET (﹞) -->
\uFF5C <!-- U+FF5C FULLWIDTH VERTICAL LINE (｜) -->
\uFF5F <!-- U+FF5F FULLWIDTH LEFT WHITE PARENTHESIS (｟) -->
\uFF60 <!-- U+FF60 FULLWIDTH RIGHT WHITE PARENTHESIS (｠) -->
\uFFE3 <!-- U+FFE3 FULLWIDTH MACRON (￣) -->
\uFF3F <!-- U+FF3F FULLWIDTH LOW LINE (＿) -->
\uFF5E <!-- U+FF5E FULLWIDTH TILDE (～) -->
<!-- Rotate 180° -->
\u309C <!-- U+309C KATAKANA-HIRAGANA SEMI-VOICED SOUND MARK (゜) -->
\u3002 <!-- U+3002 IDEOGRAPHIC FULL STOP (。) -->
\uFE52 <!-- U+FE52 SMALL FULL STOP (﹒) -->
\uFF0E <!-- U+FF0E FULLWIDTH FULL STOP (．) -->
]</xsl:variable>
<xsl:variable name="regex_ja_spec"><xsl:value-of select="translate(normalize-space($regex_ja_spec_), ' ', '')"/></xsl:variable>
<xsl:template name="insertVerticalChar">
<xsl:param name="str"/>
<xsl:param name="char_prev"/>
<xsl:param name="writing-mode">lr-tb</xsl:param>
<xsl:param name="reference-orientation">90</xsl:param>
<xsl:param name="add_zero_width_space">false</xsl:param>
<xsl:choose>
<xsl:when test="ancestor::*[local-name() = 'span'][@class = 'norotate']">
<xsl:value-of select="$str"/>
</xsl:when>
<xsl:otherwise>
<xsl:if test="string-length($str) > 0">
<!-- <xsl:variable name="horizontal_mode" select="normalize-space(ancestor::*[local-name() = 'span'][@class = 'horizontal'] and 1 = 1)"/> -->
<xsl:variable name="char" select="substring($str,1,1)"/>
<xsl:variable name="char_next" select="substring($str,2,1)"/>
<xsl:variable name="char_half_width" select="normalize-space(java:matches(java:java.lang.String.new($char), concat('([', $regex_ja_spec_half_width, ']{1,})')))"/>
<xsl:choose>
<xsl:when test="$char_half_width = 'true'">
<fo:inline>
<xsl:attribute name="baseline-shift">7%</xsl:attribute>
<xsl:value-of select="$char"/>
</fo:inline>
</xsl:when>
<xsl:otherwise>
<!-- namespace-uri(ancestor::*[local-name() = 'title']) != '' to skip title from $contents -->
<xsl:if test="namespace-uri(ancestor::*[local-name() = 'title']) != '' and ($char_prev = '' and ../preceding-sibling::node())">
<fo:inline padding-left="1mm"><xsl:value-of select="$zero_width_space"/></fo:inline>
</xsl:if>
<fo:inline-container text-align="center" alignment-baseline="central" width="1em" margin="0" padding="0" text-indent="0mm" last-line-end-indent="0mm" start-indent="0mm" end-indent="0mm" role="SKIP" text-align-last="center">
<xsl:if test="normalize-space($writing-mode) != ''">
<xsl:attribute name="writing-mode"><xsl:value-of select="$writing-mode"/></xsl:attribute>
<xsl:attribute name="reference-orientation">90</xsl:attribute>
</xsl:if>
<xsl:if test="normalize-space(java:matches(java:java.lang.String.new($char), concat('(', $regex_ja_spec, '{1,})'))) = 'true'">
<xsl:attribute name="reference-orientation">0</xsl:attribute>
</xsl:if>
<xsl:if test="$char = '゜' or $char = '。' or $char = '﹒' or $char = '．'">
<!-- Rotate 180°:
U+309C KATAKANA-HIRAGANA SEMI-VOICED SOUND MARK (゜)
U+3002 IDEOGRAPHIC FULL STOP (。)
U+FE52 SMALL FULL STOP (﹒)
U+FF0E FULLWIDTH FULL STOP (．)
-->
<xsl:attribute name="reference-orientation">-90</xsl:attribute>
</xsl:if>
<fo:block-container width="1em" role="SKIP"><!-- border="0.5pt solid blue" -->
<fo:block line-height="1em" role="SKIP">
<!-- <xsl:choose>
<xsl:when test="$horizontal_mode = 'true'">
<xsl:value-of select="$str"/>
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="$char"/>
</xsl:otherwise>
</xsl:choose> -->
<xsl:value-of select="$char"/>
</fo:block>
</fo:block-container>
</fo:inline-container>
<xsl:if test="namespace-uri(ancestor::*[local-name() = 'title']) != '' and ($char_next != '' or ../following-sibling::node())">
<fo:inline padding-left="1mm"><xsl:value-of select="$zero_width_space"/></fo:inline>
</xsl:if>
</xsl:otherwise>
</xsl:choose>
<xsl:if test="$add_zero_width_space = 'true' and ($char = ',' or $char = '.' or $char = ' ' or $char = '·' or $char = ')' or $char = ']' or $char = '}' or $char = '/')"><xsl:value-of select="$zero_width_space"/></xsl:if>
<!-- <xsl:if test="$horizontal_mode = 'false'"> -->
<xsl:call-template name="insertVerticalChar">
<xsl:with-param name="str" select="substring($str, 2)"/>
<xsl:with-param name="char_prev" select="$char"/>
<xsl:with-param name="writing-mode" select="$writing-mode"/>
<xsl:with-param name="reference-orientation" select="$reference-orientation"/>
<xsl:with-param name="add_zero_width_space" select="$add_zero_width_space"/>
</xsl:call-template>
<!-- </xsl:if> -->
</xsl:if>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="insertHorizontalChars">
<xsl:param name="str"/>
<xsl:param name="writing-mode">lr-tb</xsl:param>
<xsl:param name="reference-orientation">90</xsl:param>
<xsl:param name="add_zero_width_space">false</xsl:param>
<xsl:choose>
<xsl:otherwise>
<fo:inline-container text-align="center" alignment-baseline="central" width="1em" margin="0" padding="0" text-indent="0mm" last-line-end-indent="0mm" start-indent="0mm" end-indent="0mm" role="SKIP">
<xsl:if test="normalize-space($writing-mode) != ''">
<xsl:attribute name="writing-mode"><xsl:value-of select="$writing-mode"/></xsl:attribute>
<xsl:attribute name="reference-orientation">90</xsl:attribute>
</xsl:if>
<fo:block-container width="1em" role="SKIP"> <!-- border="0.5pt solid green" -->
<fo:block line-height="1em" role="SKIP">
<xsl:value-of select="$str"/>
</fo:block>
</fo:block-container>
</fo:inline-container>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template name="number-to-words">
<xsl:param name="number"/>
<xsl:param name="first"/>
<xsl:if test="$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="$value"/>
</xsl:otherwise>
</xsl:choose>
</xsl:if>
</xsl:template> <!-- number-to-words -->
<!-- st for 1, nd for 2, rd for 3, th for 4, 5, 6, ... -->
<xsl:template name="number-to-ordinal">
<xsl:param name="number"/>
<xsl:param name="curr_lang"/>
<xsl:choose>
<xsl:when test="$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 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 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="$value"/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:template match="*" mode="print_as_xml">
<xsl:param name="level">0</xsl:param>
<fo:block margin-left="{2*$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:template match="@*|node()" mode="set_table_role_skip">
<xsl:copy>
<xsl:apply-templates select="@*|node()" mode="set_table_role_skip"/>
</xsl:copy>
</xsl:template>
<xsl:template match="*[starts-with(local-name(), 'table')]" mode="set_table_role_skip">
<xsl:copy>
<xsl:apply-templates select="@*" mode="set_table_role_skip"/>
<xsl:attribute name="role">SKIP</xsl:attribute>
<xsl:apply-templates select="node()" mode="set_table_role_skip"/>
</xsl:copy>
</xsl:template>
</xsl:stylesheet>