p:encode 002
Test is expected to pass.
The pipeline
<p:declare-step xmlns:p="http://www.w3.org/ns/xproc"
xmlns:t="http://xproc.org/ns/testsuite/3.0" name="pipeline" version="3.0">
<p:output port="result"/>
<p:encode>
<p:with-input href="../documents/Kanava.png"/>
</p:encode>
</p:declare-step>
Result
<c:data xmlns:c="http://www.w3.org/ns/xproc-step"
xmlns:t="http://xproc.org/ns/testsuite/3.0" encoding="base64" content-type="image/png">iVBORw0KGgoAAAANSUhEUgAAASwAAACWCAYAAABkW7XSAAAAAXNSR0IArs4c6QAAPCFJREFUeAHt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</c:data>
Schematron checks
<s:schema xmlns="http://www.w3.org/1999/xhtml"
xmlns:s="http://purl.oclc.org/dsdl/schematron" xmlns:t="http://xproc.org/ns/testsuite/3.0"
queryBinding="xslt2">
<s:ns prefix="c"
uri="http://www.w3.org/ns/xproc-step"/>
<s:pattern>
<s:rule context="/">
<s:assert test="c:data">Root element is not 'c:data'.</s:assert>
</s:rule>
</s:pattern>
<s:pattern>
<s:rule context="/c:data">
<s:assert test="@encoding = 'base64'">The encoding is incorrect.</s:assert>
<s:assert test="@content-type = 'image/png'">The content-type is incorrect.</s:assert>
<s:assert test="starts-with(., 'iVBORw0')">Encoded data is incorrect.</s:assert>
</s:rule>
</s:pattern>
</s:schema>
Revision history
- 01 Feb 2025, Norm Tovey-Walsh
- Test the p:encode step.