mirror of
https://gerrit.wikimedia.org/r/mediawiki/extensions/VisualEditor
synced 2024-11-18 11:46:01 +00:00
44b1fdebe4
Previously we returned ElementLinearData from the converter, then stripped out the MetaLinearData. This meant that before processing the ElementLinearData from the converter actually contained metadata which is confusing. The new document constructor stores the converter results in a FlatLinearData object and simultaneously populates element and meta data stores. Also in this commit I have moved various methods from ElementLinearData to FlatLinearData, from which ElementLinearData inherits. Change-Id: I64561bde2c31d8f703c13ac7b0a0c5f7ade9f3d4
1368 lines
33 KiB
JavaScript
1368 lines
33 KiB
JavaScript
/*!
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* VisualEditor ElementLinearData tests.
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*
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* @copyright 2011-2013 VisualEditor Team and others; see AUTHORS.txt
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* @license The MIT License (MIT); see LICENSE.txt
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*/
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QUnit.module( 've.dm.ElementLinearData' );
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/* Tests */
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QUnit.test( 'getAnnotationsFromOffset', 1, function ( assert ) {
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var c, i, j,
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data,
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doc,
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annotations,
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expectCount = 0,
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cases = [
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{
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'msg': ['bold #1', 'bold #2'],
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'data': [
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['a', [ { 'type': 'textStyle/bold' } ]],
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['b', [ { 'type': 'textStyle/bold' } ]]
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],
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'expected': [
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[ { 'type': 'textStyle/bold' } ],
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[ { 'type': 'textStyle/bold' } ]
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]
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},
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{
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'msg': ['bold #3', 'italic #1'],
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'data': [
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['a', [ { 'type': 'textStyle/bold' } ]],
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['b', [ { 'type': 'textStyle/italic' } ]]
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],
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'expected': [
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[ { 'type': 'textStyle/bold' } ],
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[ { 'type': 'textStyle/italic' } ]
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]
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},
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{
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'msg': ['bold, italic & underline'],
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'data': [
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[
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'a',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic'},
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{ 'type': 'textStyle/underline'}
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]
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]
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],
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'expected':
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[
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic'},
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{ 'type': 'textStyle/underline'}
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]
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]
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}
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];
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// Calculate expected assertion count
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for ( c = 0; c < cases.length; c++ ) {
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expectCount += cases[c].data.length;
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}
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QUnit.expect( expectCount );
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// Run tests
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for ( i = 0; i < cases.length; i++ ) {
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data = ve.dm.example.preprocessAnnotations( cases[i].data );
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doc = new ve.dm.Document( data );
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for ( j = 0; j < doc.getData().length; j++ ) {
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annotations = doc.data.getAnnotationsFromOffset( j );
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assert.deepEqual( annotations,
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ve.dm.example.createAnnotationSet( doc.getStore(), cases[i].expected[j] ),
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cases[i].msg[j]
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);
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}
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}
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} );
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QUnit.test( 'getAnnotationsFromRange', 1, function ( assert ) {
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var i, data, doc,
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cases = [
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{
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'msg': 'single annotations',
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'data': [
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['a', [ { 'type': 'textStyle/bold' } ] ],
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['b', [ { 'type': 'textStyle/bold' } ] ]
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],
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'expected': [ { 'type': 'textStyle/bold' } ]
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},
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{
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'msg': 'multiple annotations',
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'data': [
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[
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'a',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic'}
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]
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],
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[
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'b',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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]
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],
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'expected': [
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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},
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{
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'msg': 'lowest common coverage',
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'data': [
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[
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'a',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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],
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[
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'b',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' },
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{ 'type': 'textStyle/underline' }
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]
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]
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],
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'expected': [
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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},
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{
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'msg': 'no common coverage due to plain character at the start',
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'data': [
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'a',
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[
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'b',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' },
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{ 'type': 'textStyle/underline' }
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]
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],
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[
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'c',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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]
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],
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'expected': []
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},
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{
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'msg': 'no common coverage due to plain character in the middle',
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'data': [
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[
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'a',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' },
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{ 'type': 'textStyle/underline' }
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]
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],
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['b'],
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[
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'c',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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]
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],
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'expected': []
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},
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{
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'msg': 'no common coverage due to plain character at the end',
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'data': [
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[
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'a',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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],
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[
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'b',
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[
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' },
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{ 'type': 'textStyle/underline' }
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]
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],
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['c']
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],
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'expected': []
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},
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{
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'msg': 'no common coverage due to mismatched annotations',
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'data': [
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['a', [ { 'type': 'textStyle/bold' } ] ],
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['b', [ { 'type': 'textStyle/italic' } ] ]
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],
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'expected': []
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},
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{
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'msg': 'no common coverage due to un-annotated content node',
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'data': [
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['a', [ { 'type': 'textStyle/bold' } ] ],
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{ 'type': 'image' },
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{ 'type': '/image' }
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],
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'expected': []
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},
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{
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'msg': 'branch node is ignored',
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'data': [
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['a', [ { 'type': 'textStyle/bold' } ] ],
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{ 'type': 'paragraph' },
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{ 'type': '/paragraph' }
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],
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'expected': [ { 'type': 'textStyle/bold' } ]
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},
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{
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'msg': 'annotations are collected using all with mismatched annotations',
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'data': [
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['a', [ { 'type': 'textStyle/bold' } ] ],
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['b', [ { 'type': 'textStyle/italic' } ] ]
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],
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'all': true,
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'expected': [
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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},
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{
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'msg': 'annotations are collected using all, even with a plain character at the start',
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'data': [
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'a',
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['b', [ { 'type': 'textStyle/bold' } ] ],
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['c', [ { 'type': 'textStyle/italic' } ] ]
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],
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'all': true,
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'expected': [
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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},
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{
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'msg': 'annotations are collected using all, even with a plain character in the middle',
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'data': [
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['a', [ { 'type': 'textStyle/bold' } ] ],
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'b',
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['c', [ { 'type': 'textStyle/italic' } ] ]
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],
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'all': true,
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'expected': [
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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},
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{
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'msg': 'annotations are collected using all, even with a plain character at the end',
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'data': [
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['a', [ { 'type': 'textStyle/bold' } ] ],
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['b', [ { 'type': 'textStyle/italic' } ] ],
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'c'
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],
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'all': true,
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'expected': [
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{ 'type': 'textStyle/bold' },
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{ 'type': 'textStyle/italic' }
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]
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},
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{
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'msg': 'no common coverage from all plain characters',
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'data': ['a', 'b'],
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'expected': {}
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},
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{
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'msg': 'no common coverage using all from all plain characters',
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'data': ['a', 'b'],
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'all': true,
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'expected': {}
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}
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];
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QUnit.expect( cases.length );
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for ( i = 0; i < cases.length; i++ ) {
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data = ve.dm.example.preprocessAnnotations( cases[i].data );
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doc = new ve.dm.Document( data );
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assert.deepEqual(
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doc.data.getAnnotationsFromRange( new ve.Range( 0, cases[i].data.length ), cases[i].all ).getIndexes(),
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ve.dm.example.createAnnotationSet( doc.getStore(), cases[i].expected ).getIndexes(),
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cases[i].msg
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);
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}
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} );
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QUnit.test( 'getAnnotatedRangeFromOffset', 1, function ( assert ) {
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var i, data, doc,
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cases = [
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{
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'msg': 'a bold word',
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'data': [
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// 0
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'a',
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// 1
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['b', [ { 'type': 'textStyle/bold' } ]],
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// 2
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['o', [ { 'type': 'textStyle/bold' } ]],
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// 3
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['l', [ { 'type': 'textStyle/bold' } ]],
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// 4
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['d', [ { 'type': 'textStyle/bold' } ]],
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// 5
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'w',
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// 6
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'o',
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// 7
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'r',
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// 8
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'd'
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],
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'annotation': { 'type': 'textStyle/bold' },
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'offset': 3,
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'expected': new ve.Range( 1, 5 )
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},
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{
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'msg': 'a linked',
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'data': [
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// 0
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'x',
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// 1
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'x',
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// 2
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'x',
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// 3
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['l', [ { 'type': 'link' } ]],
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// 4
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['i', [ { 'type': 'link' } ]],
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// 5
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['n', [ { 'type': 'link' } ]],
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// 6
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['k', [ { 'type': 'link' } ]],
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// 7
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'x',
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// 8
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'x',
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// 9
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'x'
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],
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'annotation': { 'type': 'link' },
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'offset': 3,
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'expected': new ve.Range( 3, 7 )
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},
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{
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'msg': 'bold over an annotated leaf node',
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'data': [
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// 0
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'h',
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// 1
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['b', [ { 'type': 'textStyle/bold' } ]],
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// 2
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['o', [ { 'type': 'textStyle/bold' } ]],
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// 3
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{
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'type': 'image',
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'attributes': { 'src': ve.dm.example.imgSrc },
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'annotations': [ { 'type': 'textStyle/bold' }]
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},
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// 4
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{ 'type': '/image' },
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// 5
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['l', [ { 'type': 'textStyle/bold' } ]],
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// 6
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['d', [ { 'type': 'textStyle/bold' } ]],
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// 7
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'i'
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],
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'annotation': { 'type': 'textStyle/bold' },
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'offset': 3,
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'expected': new ve.Range( 1, 7 )
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}
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];
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QUnit.expect( cases.length );
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for ( i = 0; i < cases.length; i++ ) {
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data = ve.dm.example.preprocessAnnotations( cases[i].data );
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doc = new ve.dm.Document( data );
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assert.deepEqual(
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doc.data.getAnnotatedRangeFromOffset( cases[i].offset,
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ve.dm.example.createAnnotation( cases[i].annotation ) ),
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cases[i].expected,
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cases[i].msg
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);
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}
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} );
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QUnit.test( 'trimOuterSpaceFromRange', function ( assert ) {
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var i, linearData, elementData,
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data = [
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// 0
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{ 'type': 'paragraph' },
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// 1
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' ',
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// 2
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'F',
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// 3
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'o',
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// 4
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'o',
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// 5
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' ',
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// 6
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' ',
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// 7
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[ ' ', ve.dm.example.bold ],
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// 8
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[ ' ', ve.dm.example.italic ],
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// 9
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[ 'B', ve.dm.example.italic ],
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// 10
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'a',
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// 11
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'r',
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// 12
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' ',
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// 13
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{ 'type': '/paragraph' }
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// 14
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],
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cases = [
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{
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'msg': 'Word without spaces is untouched',
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'range': new ve.Range( 2, 5 ),
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'trimmed': new ve.Range( 2, 5 )
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},
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{
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'msg': 'Consecutive words with spaces in between but not at the edges are untouched',
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'range': new ve.Range( 2, 12 ),
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'trimmed': new ve.Range( 2, 12 )
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},
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{
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'msg': 'Single space is trimmed from the start',
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'range': new ve.Range( 1, 4 ),
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'trimmed': new ve.Range( 2, 4 )
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},
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{
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'msg': 'Single space is trimmed from the end',
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'range': new ve.Range( 3, 6 ),
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'trimmed': new ve.Range( 3, 5 )
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},
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{
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'msg': 'Single space is trimmed from both sides',
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'range': new ve.Range( 1, 6 ),
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'trimmed': new ve.Range( 2, 5 )
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},
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{
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'msg': 'Different number of spaces trimmed on each side',
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'range': new ve.Range( 1, 7 ),
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'trimmed': new ve.Range( 2, 5 )
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},
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{
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'msg': 'Annotated spaces are trimmed correctly from the end',
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'range': new ve.Range( 3, 9 ),
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'trimmed': new ve.Range( 3, 5 )
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},
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{
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'msg': 'Annotated spaces are trimmed correctly from the start',
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'range': new ve.Range( 7, 10 ),
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'trimmed': new ve.Range( 9, 10 )
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},
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{
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'msg': 'Trimming annotated spaces at the end and plain spaces at the start',
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'range': new ve.Range( 1, 9 ),
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'trimmed': new ve.Range( 2, 5 )
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},
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{
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'msg': 'Spaces are trimmed from the ends but not in the middle',
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'range': new ve.Range( 1, 13 ),
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'trimmed': new ve.Range( 2, 12 )
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},
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{
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'msg': 'All-whitespace range is trimmed to empty range',
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'range': new ve.Range( 5, 9 ),
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'trimmed': new ve.Range( 5, 5 )
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}
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];
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QUnit.expect( cases.length );
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linearData = ve.dm.example.preprocessAnnotations( data );
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elementData = new ve.dm.ElementLinearData( linearData.getStore(), linearData.getData() );
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for ( i = 0; i < cases.length; i++ ) {
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assert.deepEqual(
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elementData.trimOuterSpaceFromRange( cases[i].range ),
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cases[i].trimmed,
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cases[i].msg
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);
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}
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} );
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|
|
QUnit.test( 'isContentOffset', function ( assert ) {
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var i, left, right,
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data = new ve.dm.ElementLinearData( new ve.dm.IndexValueStore(), [
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{ 'type': 'heading' },
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'a',
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{ 'type': 'image' },
|
|
{ 'type': '/image' },
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'b',
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'c',
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{ 'type': '/heading' },
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{ 'type': 'paragraph' },
|
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{ 'type': '/paragraph' },
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{ 'type': 'preformatted' },
|
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{ 'type': 'image' },
|
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{ 'type': '/image' },
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{ 'type': '/preformatted' },
|
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{ 'type': 'list' },
|
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{ 'type': 'listItem' },
|
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{ 'type': '/listItem' },
|
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{ 'type': '/list' },
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{ 'type': 'alienBlock' },
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{ 'type': '/alienBlock' },
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{ 'type': 'table' },
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{ 'type': 'tableRow' },
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{ 'type': 'tableCell' },
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{ 'type': 'alienBlock' },
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{ 'type': '/alienBlock' },
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{ 'type': '/tableCell' },
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{ 'type': '/tableRow' },
|
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{ 'type': '/table' }
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] ),
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|
cases = [
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{ 'msg': 'left of document', 'expected': false },
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|
{ 'msg': 'begining of content branch', 'expected': true },
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|
{ 'msg': 'left of non-text inline leaf', 'expected': true },
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|
{ 'msg': 'inside non-text inline leaf', 'expected': false },
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|
{ 'msg': 'right of non-text inline leaf', 'expected': true },
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{ 'msg': 'between characters', 'expected': true },
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|
{ 'msg': 'end of content branch', 'expected': true },
|
|
{ 'msg': 'between content branches', 'expected': false },
|
|
{ 'msg': 'inside emtpy content branch', 'expected': true },
|
|
{ 'msg': 'between content branches', 'expected': false },
|
|
{ 'msg': 'begining of content branch, left of inline leaf', 'expected': true },
|
|
{ 'msg': 'inside content branch with non-text inline leaf', 'expected': false },
|
|
{ 'msg': 'end of content branch, right of non-content leaf', 'expected': true },
|
|
{ 'msg': 'between content, non-content branches', 'expected': false },
|
|
{ 'msg': 'between parent, child branches, descending', 'expected': false },
|
|
{ 'msg': 'inside empty non-content branch', 'expected': false },
|
|
{ 'msg': 'between parent, child branches, ascending', 'expected': false },
|
|
{ 'msg': 'between non-content branch, non-content leaf', 'expected': false },
|
|
{ 'msg': 'inside non-content leaf', 'expected': false },
|
|
{ 'msg': 'between non-content branches', 'expected': false },
|
|
{ 'msg': 'between non-content branches', 'expected': false },
|
|
{ 'msg': 'between non-content branches', 'expected': false },
|
|
{ 'msg': 'inside non-content branch before non-content leaf', 'expected': false },
|
|
{ 'msg': 'inside non-content leaf', 'expected': false },
|
|
{ 'msg': 'inside non-content branch after non-content leaf', 'expected': false },
|
|
{ 'msg': 'between non-content branches', 'expected': false },
|
|
{ 'msg': 'between non-content branches', 'expected': false },
|
|
{ 'msg': 'right of document', 'expected': false }
|
|
];
|
|
QUnit.expect( data.getLength() + 1 );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
left = data.getData( i - 1 ) ? ( data.getData( i - 1 ).type || data.getCharacterData( i - 1 ) ) : '[start]';
|
|
right = data.getData( i ) ? ( data.getData( i ).type || data.getCharacterData( i ) ) : '[end]';
|
|
assert.strictEqual(
|
|
data.isContentOffset( i ),
|
|
cases[i].expected,
|
|
cases[i].msg + ' (' + left + '|' + right + ' @ ' + i + ')'
|
|
);
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'isStructuralOffset', function ( assert ) {
|
|
var i, left, right,
|
|
data = new ve.dm.ElementLinearData( new ve.dm.IndexValueStore(), [
|
|
{ 'type': 'heading' },
|
|
'a',
|
|
{ 'type': 'image' },
|
|
{ 'type': '/image' },
|
|
'b',
|
|
'c',
|
|
{ 'type': '/heading' },
|
|
{ 'type': 'paragraph' },
|
|
{ 'type': '/paragraph' },
|
|
{ 'type': 'preformatted' },
|
|
{ 'type': 'image' },
|
|
{ 'type': '/image' },
|
|
{ 'type': '/preformatted' },
|
|
{ 'type': 'list' },
|
|
{ 'type': 'listItem' },
|
|
{ 'type': '/listItem' },
|
|
{ 'type': '/list' },
|
|
{ 'type': 'alienBlock' },
|
|
{ 'type': '/alienBlock' },
|
|
{ 'type': 'table' },
|
|
{ 'type': 'tableRow' },
|
|
{ 'type': 'tableCell' },
|
|
{ 'type': 'alienBlock' },
|
|
{ 'type': '/alienBlock' },
|
|
{ 'type': '/tableCell' },
|
|
{ 'type': '/tableRow' },
|
|
{ 'type': '/table' }
|
|
] ),
|
|
cases = [
|
|
{ 'msg': 'left of document', 'expected': [true, true] },
|
|
{ 'msg': 'begining of content branch', 'expected': [false, false] },
|
|
{ 'msg': 'left of non-text inline leaf', 'expected': [false, false] },
|
|
{ 'msg': 'inside non-text inline leaf', 'expected': [false, false] },
|
|
{ 'msg': 'right of non-text inline leaf', 'expected': [false, false] },
|
|
{ 'msg': 'between characters', 'expected': [false, false] },
|
|
{ 'msg': 'end of content branch', 'expected': [false, false] },
|
|
{ 'msg': 'between content branches', 'expected': [true, true] },
|
|
{ 'msg': 'inside emtpy content branch', 'expected': [false, false] },
|
|
{ 'msg': 'between content branches', 'expected': [true, true] },
|
|
{ 'msg': 'begining of content branch, left of inline leaf', 'expected': [false, false] },
|
|
{ 'msg': 'inside content branch with non-text inline leaf', 'expected': [false, false] },
|
|
{ 'msg': 'end of content branch, right of inline leaf', 'expected': [false, false] },
|
|
{ 'msg': 'between content, non-content branches', 'expected': [true, true] },
|
|
{ 'msg': 'between parent, child branches, descending', 'expected': [true, false] },
|
|
{ 'msg': 'inside empty non-content branch', 'expected': [true, true] },
|
|
{ 'msg': 'between parent, child branches, ascending', 'expected': [true, false] },
|
|
{ 'msg': 'between non-content branch, non-content leaf', 'expected': [true, true] },
|
|
{ 'msg': 'inside non-content leaf', 'expected': [false, false] },
|
|
{ 'msg': 'between non-content branches', 'expected': [true, true] },
|
|
{ 'msg': 'between non-content branches', 'expected': [true, false] },
|
|
{ 'msg': 'between non-content branches', 'expected': [true, false] },
|
|
{ 'msg': 'inside non-content branch before non-content leaf', 'expected': [true, true] },
|
|
{ 'msg': 'inside non-content leaf', 'expected': [false, false] },
|
|
{ 'msg': 'inside non-content branch after non-content leaf', 'expected': [true, true] },
|
|
{ 'msg': 'between non-content branches', 'expected': [true, false] },
|
|
{ 'msg': 'between non-content branches', 'expected': [true, false] },
|
|
{ 'msg': 'right of document', 'expected': [true, true] }
|
|
];
|
|
QUnit.expect( ( data.getLength() + 1 ) * 2 );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
left = data.getData( i - 1 ) ? ( data.getData( i - 1 ).type || data.getCharacterData( i - 1 ) ) : '[start]';
|
|
right = data.getData( i ) ? ( data.getData( i ).type || data.getCharacterData( i ) ) : '[end]';
|
|
assert.strictEqual(
|
|
data.isStructuralOffset( i ),
|
|
cases[i].expected[0],
|
|
cases[i].msg + ' (' + left + '|' + right + ' @ ' + i + ')'
|
|
);
|
|
assert.strictEqual(
|
|
data.isStructuralOffset( i, true ),
|
|
cases[i].expected[1],
|
|
cases[i].msg + ', unrestricted (' + left + '|' + right + ' @ ' + i + ')'
|
|
);
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'isElementData', 1, function ( assert ) {
|
|
var i,
|
|
data = new ve.dm.ElementLinearData( new ve.dm.IndexValueStore(), [
|
|
{ 'type': 'heading' },
|
|
'a',
|
|
{ 'type': 'image' },
|
|
{ 'type': '/image' },
|
|
'b',
|
|
'c',
|
|
{ 'type': '/heading' },
|
|
{ 'type': 'paragraph' },
|
|
{ 'type': '/paragraph' },
|
|
{ 'type': 'preformatted' },
|
|
{ 'type': 'image' },
|
|
{ 'type': '/image' },
|
|
{ 'type': '/preformatted' },
|
|
{ 'type': 'list' },
|
|
{ 'type': 'listItem' },
|
|
{ 'type': '/listItem' },
|
|
{ 'type': '/list' },
|
|
{ 'type': 'alienBlock' },
|
|
{ 'type': '/alienBlock' }
|
|
] ),
|
|
cases = [
|
|
{ 'msg': 'left of document', 'expected': true },
|
|
{ 'msg': 'begining of content branch', 'expected': false },
|
|
{ 'msg': 'left of non-text inline leaf', 'expected': true },
|
|
{ 'msg': 'inside non-text inline leaf', 'expected': true },
|
|
{ 'msg': 'right of non-text inline leaf', 'expected': false },
|
|
{ 'msg': 'between characters', 'expected': false },
|
|
{ 'msg': 'end of content branch', 'expected': true },
|
|
{ 'msg': 'between content branches', 'expected': true },
|
|
{ 'msg': 'inside emtpy content branch', 'expected': true },
|
|
{ 'msg': 'between content branches', 'expected': true },
|
|
{ 'msg': 'begining of content branch, left of inline leaf', 'expected': true },
|
|
{ 'msg': 'inside content branch with non-text leaf', 'expected': true },
|
|
{ 'msg': 'end of content branch, right of inline leaf', 'expected': true },
|
|
{ 'msg': 'between content, non-content branches', 'expected': true },
|
|
{ 'msg': 'between parent, child branches, descending', 'expected': true },
|
|
{ 'msg': 'inside empty non-content branch', 'expected': true },
|
|
{ 'msg': 'between parent, child branches, ascending', 'expected': true },
|
|
{ 'msg': 'between non-content branch, non-content leaf', 'expected': true },
|
|
{ 'msg': 'inside non-content leaf', 'expected': true },
|
|
{ 'msg': 'right of document', 'expected': false }
|
|
];
|
|
QUnit.expect( data.getLength() + 1 );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
assert.strictEqual( data.isElementData( i ), cases[i].expected, cases[i].msg );
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'containsElementData', 1, function ( assert ) {
|
|
var i, data,
|
|
cases = [
|
|
{
|
|
'msg': 'simple paragraph',
|
|
'data': [{ 'type': 'paragraph' }, 'a', { 'type': '/paragraph' }],
|
|
'expected': true
|
|
},
|
|
{
|
|
'msg': 'plain text',
|
|
'data': ['a', 'b', 'c'],
|
|
'expected': false
|
|
},
|
|
{
|
|
'msg': 'annotated text',
|
|
'data': [['a', { '{"type:"bold"}': { 'type': 'bold' } } ]],
|
|
'expected': false
|
|
},
|
|
{
|
|
'msg': 'non-text leaf',
|
|
'data': ['a', { 'type': 'image' }, { 'type': '/image' }, 'c'],
|
|
'expected': true
|
|
}
|
|
];
|
|
QUnit.expect( cases.length );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
data = new ve.dm.ElementLinearData( new ve.dm.IndexValueStore(), cases[i].data );
|
|
assert.strictEqual(
|
|
data.containsElementData(), cases[i].expected, cases[i].msg
|
|
);
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'isContentData', 1, function ( assert ) {
|
|
var i, data,
|
|
cases = [
|
|
{
|
|
'msg': 'simple paragraph',
|
|
'data': [{ 'type': 'paragraph' }, 'a', { 'type': '/paragraph' }],
|
|
'expected': false
|
|
},
|
|
{
|
|
'msg': 'plain text',
|
|
'data': ['a', 'b', 'c'],
|
|
'expected': true
|
|
},
|
|
{
|
|
'msg': 'annotated text',
|
|
'data': [['a', { '{"type:"bold"}': { 'type': 'bold' } } ]],
|
|
'expected': true
|
|
},
|
|
{
|
|
'msg': 'non-text leaf',
|
|
'data': ['a', { 'type': 'image' }, { 'type': '/image' }, 'c'],
|
|
'expected': true
|
|
}
|
|
];
|
|
QUnit.expect( cases.length );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
data = new ve.dm.ElementLinearData( new ve.dm.IndexValueStore(), cases[i].data );
|
|
assert.strictEqual(
|
|
data.isContentData(), cases[i].expected, cases[i].msg
|
|
);
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'getRelativeOffset', function ( assert ) {
|
|
var i, data, cases = [
|
|
{
|
|
'msg': 'document without any valid offsets returns -1',
|
|
'offset': 0,
|
|
'distance': 1,
|
|
'data': [],
|
|
'callback': function () {
|
|
return false;
|
|
},
|
|
'expected': -1
|
|
},
|
|
{
|
|
'msg': 'document with all valid offsets returns offset + distance',
|
|
'offset': 0,
|
|
'distance': 2,
|
|
'data': ['a', 'b'],
|
|
'callback': function () {
|
|
return true;
|
|
},
|
|
'expected': 2
|
|
}
|
|
];
|
|
QUnit.expect( cases.length );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
data = new ve.dm.ElementLinearData( new ve.dm.IndexValueStore(), cases[i].data );
|
|
assert.strictEqual(
|
|
data.getRelativeOffset(
|
|
cases[i].offset,
|
|
cases[i].distance,
|
|
cases[i].callback
|
|
),
|
|
cases[i].expected,
|
|
cases[i].msg
|
|
);
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'getRelativeContentOffset', function ( assert ) {
|
|
var i,
|
|
doc = ve.dm.example.createExampleDocument(),
|
|
cases = [
|
|
{
|
|
'msg': 'invalid starting offset with zero distance gets corrected',
|
|
'offset': 0,
|
|
'distance': 0,
|
|
'expected': 1
|
|
},
|
|
{
|
|
'msg': 'invalid starting offset with zero distance gets corrected',
|
|
'offset': 61,
|
|
'distance': 0,
|
|
'expected': 60
|
|
},
|
|
{
|
|
'msg': 'valid offset with zero distance returns same offset',
|
|
'offset': 2,
|
|
'distance': 0,
|
|
'expected': 2
|
|
},
|
|
{
|
|
'msg': 'invalid starting offset gets corrected',
|
|
'offset': 0,
|
|
'distance': -1,
|
|
'expected': 1
|
|
},
|
|
{
|
|
'msg': 'invalid starting offset gets corrected',
|
|
'offset': 61,
|
|
'distance': 1,
|
|
'expected': 60
|
|
},
|
|
{
|
|
'msg': 'stop at left edge if already valid',
|
|
'offset': 1,
|
|
'distance': -1,
|
|
'expected': 1
|
|
},
|
|
{
|
|
'msg': 'stop at right edge if already valid',
|
|
'offset': 60,
|
|
'distance': 1,
|
|
'expected': 60
|
|
},
|
|
{
|
|
'msg': 'first content offset is farthest left',
|
|
'offset': 2,
|
|
'distance': -2,
|
|
'expected': 1
|
|
},
|
|
{
|
|
'msg': 'last content offset is farthest right',
|
|
'offset': 59,
|
|
'distance': 2,
|
|
'expected': 60
|
|
},
|
|
{
|
|
'msg': '1 right within text',
|
|
'offset': 1,
|
|
'distance': 1,
|
|
'expected': 2
|
|
},
|
|
{
|
|
'msg': '2 right within text',
|
|
'offset': 1,
|
|
'distance': 2,
|
|
'expected': 3
|
|
},
|
|
{
|
|
'msg': '1 left within text',
|
|
'offset': 2,
|
|
'distance': -1,
|
|
'expected': 1
|
|
},
|
|
{
|
|
'msg': '2 left within text',
|
|
'offset': 3,
|
|
'distance': -2,
|
|
'expected': 1
|
|
},
|
|
{
|
|
'msg': '1 right over elements',
|
|
'offset': 4,
|
|
'distance': 1,
|
|
'expected': 10
|
|
},
|
|
{
|
|
'msg': '2 right over elements',
|
|
'offset': 4,
|
|
'distance': 2,
|
|
'expected': 11
|
|
},
|
|
{
|
|
'msg': '1 left over elements',
|
|
'offset': 10,
|
|
'distance': -1,
|
|
'expected': 4
|
|
},
|
|
{
|
|
'msg': '2 left over elements',
|
|
'offset': 10,
|
|
'distance': -2,
|
|
'expected': 3
|
|
}
|
|
];
|
|
QUnit.expect( cases.length );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
assert.strictEqual(
|
|
doc.data.getRelativeContentOffset( cases[i].offset, cases[i].distance ),
|
|
cases[i].expected,
|
|
cases[i].msg
|
|
);
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'getNearestContentOffset', function ( assert ) {
|
|
var i,
|
|
doc = ve.dm.example.createExampleDocument(),
|
|
cases = [
|
|
{
|
|
'msg': 'unspecified direction results in shortest distance',
|
|
'offset': 0,
|
|
'direction': 0,
|
|
'expected': 1
|
|
},
|
|
{
|
|
'msg': 'unspecified direction results in shortest distance',
|
|
'offset': 5,
|
|
'direction': 0,
|
|
'expected': 4
|
|
},
|
|
{
|
|
'msg': 'positive direction results in next valid offset to the right',
|
|
'offset': 5,
|
|
'direction': 1,
|
|
'expected': 10
|
|
},
|
|
{
|
|
'msg': 'negative direction results in next valid offset to the left',
|
|
'offset': 5,
|
|
'direction': -1,
|
|
'expected': 4
|
|
},
|
|
{
|
|
'msg': 'valid offset without direction returns same offset',
|
|
'offset': 1,
|
|
'expected': 1
|
|
},
|
|
{
|
|
'msg': 'valid offset with positive direction returns same offset',
|
|
'offset': 1,
|
|
'direction': 1,
|
|
'expected': 1
|
|
},
|
|
{
|
|
'msg': 'valid offset with negative direction returns same offset',
|
|
'offset': 1,
|
|
'direction': -1,
|
|
'expected': 1
|
|
}
|
|
];
|
|
QUnit.expect( cases.length );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
assert.strictEqual(
|
|
doc.data.getNearestContentOffset( cases[i].offset, cases[i].direction ),
|
|
cases[i].expected,
|
|
cases[i].msg
|
|
);
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'getRelativeStructuralOffset', function ( assert ) {
|
|
var i,
|
|
doc = ve.dm.example.createExampleDocument(),
|
|
cases = [
|
|
{
|
|
'msg': 'invalid starting offset with zero distance gets corrected',
|
|
'offset': 1,
|
|
'distance': 0,
|
|
'expected': 5
|
|
},
|
|
{
|
|
'msg': 'invalid starting offset with zero distance gets corrected',
|
|
'offset': 60,
|
|
'distance': 0,
|
|
'expected': 61
|
|
},
|
|
{
|
|
'msg': 'valid offset with zero distance returns same offset',
|
|
'offset': 0,
|
|
'distance': 0,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'invalid starting offset gets corrected',
|
|
'offset': 2,
|
|
'distance': -1,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'invalid starting offset gets corrected',
|
|
'offset': 59,
|
|
'distance': 1,
|
|
'expected': 61
|
|
},
|
|
{
|
|
'msg': 'first structural offset is farthest left',
|
|
'offset': 5,
|
|
'distance': -2,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'last structural offset is farthest right',
|
|
'offset': 62,
|
|
'distance': 2,
|
|
'expected': 63
|
|
},
|
|
{
|
|
'msg': '1 right',
|
|
'offset': 0,
|
|
'distance': 1,
|
|
'expected': 5
|
|
},
|
|
{
|
|
'msg': '1 right, unrestricted',
|
|
'offset': 5,
|
|
'distance': 1,
|
|
'unrestricted': true,
|
|
'expected': 9
|
|
},
|
|
{
|
|
'msg': '2 right',
|
|
'offset': 0,
|
|
'distance': 2,
|
|
'expected': 6
|
|
},
|
|
{
|
|
'msg': '2 right, unrestricted',
|
|
'offset': 0,
|
|
'distance': 2,
|
|
'unrestricted': true,
|
|
'expected': 9
|
|
},
|
|
{
|
|
'msg': '1 left',
|
|
'offset': 61,
|
|
'distance': -1,
|
|
'expected': 58
|
|
},
|
|
{
|
|
'msg': '1 left, unrestricted',
|
|
'offset': 9,
|
|
'distance': -1,
|
|
'unrestricted': true,
|
|
'expected': 5
|
|
},
|
|
{
|
|
'msg': '2 left',
|
|
'offset': 61,
|
|
'distance': -2,
|
|
'expected': 55
|
|
},
|
|
{
|
|
'msg': '2 left, unrestricted',
|
|
'offset': 9,
|
|
'distance': -2,
|
|
'unrestricted': true,
|
|
'expected': 0
|
|
}
|
|
];
|
|
QUnit.expect( cases.length );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
assert.strictEqual(
|
|
doc.data.getRelativeStructuralOffset(
|
|
cases[i].offset, cases[i].distance, cases[i].unrestricted
|
|
),
|
|
cases[i].expected,
|
|
cases[i].msg
|
|
);
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'getNearestStructuralOffset', function ( assert ) {
|
|
var i,
|
|
doc = ve.dm.example.createExampleDocument(),
|
|
cases = [
|
|
{
|
|
'msg': 'unspecified direction results in shortest distance',
|
|
'offset': 1,
|
|
'direction': 0,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'unspecified direction results in shortest distance',
|
|
'offset': 4,
|
|
'direction': 0,
|
|
'expected': 5
|
|
},
|
|
{
|
|
'msg': 'unspecified direction results in shortest distance, unrestricted',
|
|
'offset': 8,
|
|
'direction': 0,
|
|
'unrestricted': true,
|
|
'expected': 9
|
|
},
|
|
{
|
|
'msg': 'unspecified direction results in shortest distance, unrestricted',
|
|
'offset': 6,
|
|
'direction': 0,
|
|
'unrestricted': true,
|
|
'expected': 5
|
|
},
|
|
{
|
|
'msg': 'positive direction results in next valid offset to the right',
|
|
'offset': 1,
|
|
'direction': 1,
|
|
'expected': 5
|
|
},
|
|
{
|
|
'msg': 'positive direction results in next valid offset to the right',
|
|
'offset': 4,
|
|
'direction': 1,
|
|
'expected': 5
|
|
},
|
|
{
|
|
'msg': 'positive direction results in next valid offset to the right, unrestricted',
|
|
'offset': 7,
|
|
'direction': 1,
|
|
'unrestricted': true,
|
|
'expected': 9
|
|
},
|
|
{
|
|
'msg': 'negative direction results in next valid offset to the left',
|
|
'offset': 1,
|
|
'direction': -1,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'negative direction results in next valid offset to the left',
|
|
'offset': 4,
|
|
'direction': -1,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'negative direction results in next valid offset to the left, unrestricted',
|
|
'offset': 6,
|
|
'direction': -1,
|
|
'unrestricted': true,
|
|
'expected': 5
|
|
},
|
|
{
|
|
'msg': 'valid offset without direction returns same offset',
|
|
'offset': 0,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'valid offset with positive direction returns same offset',
|
|
'offset': 0,
|
|
'direction': 1,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'valid offset with negative direction returns same offset',
|
|
'offset': 0,
|
|
'direction': -1,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'valid offset without direction returns same offset, unrestricted',
|
|
'offset': 0,
|
|
'unrestricted': true,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'valid offset with positive direction returns same offset, unrestricted',
|
|
'offset': 0,
|
|
'direction': 1,
|
|
'unrestricted': true,
|
|
'expected': 0
|
|
},
|
|
{
|
|
'msg': 'valid offset with negative direction returns same offset, unrestricted',
|
|
'offset': 0,
|
|
'direction': -1,
|
|
'unrestricted': true,
|
|
'expected': 0
|
|
}
|
|
];
|
|
QUnit.expect( cases.length );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
assert.strictEqual(
|
|
doc.data.getNearestStructuralOffset(
|
|
cases[i].offset, cases[i].direction, cases[i].unrestricted
|
|
),
|
|
cases[i].expected,
|
|
cases[i].msg
|
|
);
|
|
}
|
|
} );
|
|
|
|
QUnit.test( 'getNearestWordRange', function ( assert ) {
|
|
var i, data, range, word,
|
|
store = new ve.dm.IndexValueStore(),
|
|
cases = [
|
|
{
|
|
'phrase': 'visual editor test',
|
|
'msg': 'simple Latin word',
|
|
'offset': 10,
|
|
'expected': 'editor'
|
|
},
|
|
{
|
|
'phrase': 'visual editor test',
|
|
'msg': 'cursor at start of word',
|
|
'offset': 7,
|
|
'expected': 'editor'
|
|
},
|
|
{
|
|
'phrase': 'visual editor test',
|
|
'msg': 'cursor at end of word',
|
|
'offset': 13,
|
|
'expected': 'editor'
|
|
},
|
|
{
|
|
'phrase': 'visual editor test',
|
|
'msg': 'cursor at start of text',
|
|
'offset': 0,
|
|
'expected': 'visual'
|
|
},
|
|
{
|
|
'phrase': 'visual editor test',
|
|
'msg': 'cursor at end of text',
|
|
'offset': 18,
|
|
'expected': 'test'
|
|
},
|
|
{
|
|
'phrase': 'Computer-aided design',
|
|
'msg': 'hyphenated Latin word',
|
|
'offset': 12,
|
|
'expected': 'aided'
|
|
},
|
|
{
|
|
'phrase': 'Water (l\'eau) is',
|
|
'msg': 'apostrophe and parentheses (Latin)',
|
|
'offset': 8,
|
|
'expected': 'l\'eau'
|
|
},
|
|
{
|
|
'phrase': 'Water (H2O) is',
|
|
'msg': 'number in word (Latin)',
|
|
'offset': 9,
|
|
'expected': 'H2O'
|
|
},
|
|
{
|
|
'phrase': 'The \'word\' is',
|
|
'msg': 'apostrophes as single quotes',
|
|
'offset': 7,
|
|
'expected': 'word'
|
|
},
|
|
{
|
|
'phrase': 'Some "double" quotes',
|
|
'msg': 'double quotes',
|
|
'offset': 8,
|
|
'expected': 'double'
|
|
},
|
|
{
|
|
'phrase': 'Wikipédia l\'encyclopédie libre',
|
|
'msg': 'extended Latin word',
|
|
'offset': 15,
|
|
'expected': 'l\'encyclopédie'
|
|
},
|
|
{
|
|
'phrase': 'Wikipédia l\'encyclopédie libre',
|
|
'msg': 'Extend characters (i.e. letter + accent)',
|
|
'offset': 15,
|
|
'expected': 'l\'encyclopédie'
|
|
},
|
|
{
|
|
'phrase': 'Википедия свободная энциклопедия',
|
|
'msg': 'Cyrillic word',
|
|
'offset': 14,
|
|
'expected': 'свободная'
|
|
},
|
|
{
|
|
'phrase': 'την ελεύθερη εγκυκλοπαίδεια',
|
|
'msg': 'Greek word',
|
|
'offset': 7,
|
|
'expected': 'ελεύθερη'
|
|
},
|
|
{
|
|
'phrase': '우리 모두의 백과사전',
|
|
'msg': 'Hangul word',
|
|
'offset': 4,
|
|
'expected': '모두의'
|
|
},
|
|
{
|
|
'phrase': 'This: ٠١٢٣٤٥٦٧٨٩ means 0123456789',
|
|
'msg': 'Eastern Arabic numerals',
|
|
'offset': 13,
|
|
'expected': '٠١٢٣٤٥٦٧٨٩'
|
|
},
|
|
{
|
|
'phrase': 'Latinカタカナwrapped',
|
|
'msg': 'Latin-wrapped Katakana word',
|
|
'offset': 7,
|
|
'expected': 'カタカナ'
|
|
},
|
|
{
|
|
'phrase': '维基百科',
|
|
'msg': 'Hanzi characters (cursor in middle)',
|
|
'offset': 2,
|
|
'expected': ''
|
|
},
|
|
{
|
|
'phrase': '维基百科',
|
|
'msg': 'Hanzi characters (cursor at end)',
|
|
'offset': 4,
|
|
'expected': ''
|
|
},
|
|
{
|
|
'phrase': 'Costs £1,234.00 each',
|
|
'msg': 'formatted number sequence',
|
|
'offset': 11,
|
|
'expected': '1,234.00'
|
|
},
|
|
{
|
|
'phrase': 'Reset index_of variable',
|
|
'msg': 'underscore-joined word',
|
|
'offset': 8,
|
|
'expected': 'index_of'
|
|
}
|
|
];
|
|
QUnit.expect( cases.length );
|
|
for ( i = 0; i < cases.length; i++ ) {
|
|
data = new ve.dm.ElementLinearData( store, cases[i].phrase.split( '' ) );
|
|
range = data.getNearestWordRange( cases[i].offset );
|
|
word = cases[i].phrase.substring( range.start, range.end );
|
|
assert.strictEqual( word, cases[i].expected,
|
|
cases[i].msg + ': ' +
|
|
cases[i].phrase.substring( 0, cases[i].offset ) + '│' +
|
|
cases[i].phrase.substring( cases[i].offset, cases[i].phrase.length ) +
|
|
' → ' + cases[i].expected
|
|
);
|
|
}
|
|
} );
|