mediawiki-extensions-Visual.../modules/ve/test/dm/lineardata/ve.dm.ElementLinearData.test.js
Ed Sanders d4eef1b879 Fix range translation for surface fragments
Remove all manual changes to SF ranges as these are not
undoable. Instead change translate range to default to
outer expand and build functionality around that behaviour
never changing.

As translate range is always outer I don't think we need to
check for start and end crossing over?

Added more undo tests to assert these selections are maintained
properly, and added the test case to 'update' for when and undo
point is overwritten.

Insert content now results in a selection over the inserted
content. Most usages were expecting this anyway and were
followed up with an adjustRange(-length,0) which is no longer
necessary.

Noticed that the link inspector case was never being triggered
as word boundary was always expanding to at least one char (mainly
for Hanzi selection). This doesn't make much sense as single
spaces get auto selected so removed this functionality.

Split collapseRange out into collapseRangeToStart and
collapseRangeToEnd as this may be required to get the old
behaviour (range moves to end after insert).

Change-Id: I3dc0b4d00d37bad1ca3076a69b41c5f0b3fa0570
2013-04-30 17:08:15 +01:00

1349 lines
32 KiB
JavaScript

/*!
* VisualEditor ElementLinearData tests.
*
* @copyright 2011-2013 VisualEditor Team and others; see AUTHORS.txt
* @license The MIT License (MIT); see LICENSE.txt
*/
QUnit.module( 've.dm.ElementLinearData' );
/* Tests */
QUnit.test( 'getAnnotationsFromOffset', 1, function ( assert ) {
var c, i, j,
data,
doc,
annotations,
expectCount = 0,
cases = [
{
'msg': ['bold #1', 'bold #2'],
'data': [
['a', [ { 'type': 'textStyle/bold' } ]],
['b', [ { 'type': 'textStyle/bold' } ]]
],
'expected': [
[ { 'type': 'textStyle/bold' } ],
[ { 'type': 'textStyle/bold' } ]
]
},
{
'msg': ['bold #3', 'italic #1'],
'data': [
['a', [ { 'type': 'textStyle/bold' } ]],
['b', [ { 'type': 'textStyle/italic' } ]]
],
'expected': [
[ { 'type': 'textStyle/bold' } ],
[ { 'type': 'textStyle/italic' } ]
]
},
{
'msg': ['bold, italic & underline'],
'data': [
[
'a',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic'},
{ 'type': 'textStyle/underline'}
]
]
],
'expected':
[
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic'},
{ 'type': 'textStyle/underline'}
]
]
}
];
// Calculate expected assertion count
for ( c = 0; c < cases.length; c++ ) {
expectCount += cases[c].data.length;
}
QUnit.expect( expectCount );
// Run tests
for ( i = 0; i < cases.length; i++ ) {
data = ve.dm.example.preprocessAnnotations( cases[i].data );
doc = new ve.dm.Document( data );
for ( j = 0; j < doc.getData().length; j++ ) {
annotations = doc.data.getAnnotationsFromOffset( j );
assert.deepEqual( annotations,
ve.dm.example.createAnnotationSet( doc.getStore(), cases[i].expected[j] ),
cases[i].msg[j]
);
}
}
} );
QUnit.test( 'getAnnotationsFromRange', 1, function ( assert ) {
var i, data, doc,
cases = [
{
'msg': 'single annotations',
'data': [
['a', [ { 'type': 'textStyle/bold' } ] ],
['b', [ { 'type': 'textStyle/bold' } ] ]
],
'expected': [ { 'type': 'textStyle/bold' } ]
},
{
'msg': 'multiple annotations',
'data': [
[
'a',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic'}
]
],
[
'b',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
]
],
'expected': [
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
},
{
'msg': 'lowest common coverage',
'data': [
[
'a',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
],
[
'b',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' },
{ 'type': 'textStyle/underline' }
]
]
],
'expected': [
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
},
{
'msg': 'no common coverage due to plain character at the start',
'data': [
'a',
[
'b',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' },
{ 'type': 'textStyle/underline' }
]
],
[
'c',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
]
],
'expected': []
},
{
'msg': 'no common coverage due to plain character in the middle',
'data': [
[
'a',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' },
{ 'type': 'textStyle/underline' }
]
],
['b'],
[
'c',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
]
],
'expected': []
},
{
'msg': 'no common coverage due to plain character at the end',
'data': [
[
'a',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
],
[
'b',
[
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' },
{ 'type': 'textStyle/underline' }
]
],
['c']
],
'expected': []
},
{
'msg': 'no common coverage due to mismatched annotations',
'data': [
['a', [ { 'type': 'textStyle/bold' } ] ],
['b', [ { 'type': 'textStyle/italic' } ] ]
],
'expected': []
},
{
'msg': 'annotations are collected using all with mismatched annotations',
'data': [
['a', [ { 'type': 'textStyle/bold' } ] ],
['b', [ { 'type': 'textStyle/italic' } ] ]
],
'all': true,
'expected': [
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
},
{
'msg': 'annotations are collected using all, even with a plain character at the start',
'data': [
'a',
['b', [ { 'type': 'textStyle/bold' } ] ],
['c', [ { 'type': 'textStyle/italic' } ] ]
],
'all': true,
'expected': [
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
},
{
'msg': 'annotations are collected using all, even with a plain character in the middle',
'data': [
['a', [ { 'type': 'textStyle/bold' } ] ],
'b',
['c', [ { 'type': 'textStyle/italic' } ] ]
],
'all': true,
'expected': [
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
},
{
'msg': 'annotations are collected using all, even with a plain character at the end',
'data': [
['a', [ { 'type': 'textStyle/bold' } ] ],
['b', [ { 'type': 'textStyle/italic' } ] ],
'c'
],
'all': true,
'expected': [
{ 'type': 'textStyle/bold' },
{ 'type': 'textStyle/italic' }
]
},
{
'msg': 'no common coverage from all plain characters',
'data': ['a', 'b'],
'expected': {}
},
{
'msg': 'no common coverage using all from all plain characters',
'data': ['a', 'b'],
'all': true,
'expected': {}
}
];
QUnit.expect( cases.length );
for ( i = 0; i < cases.length; i++ ) {
data = ve.dm.example.preprocessAnnotations( cases[i].data );
doc = new ve.dm.Document( data );
assert.deepEqual(
doc.data.getAnnotationsFromRange( new ve.Range( 0, cases[i].data.length ), cases[i].all ),
ve.dm.example.createAnnotationSet( doc.getStore(), cases[i].expected ),
cases[i].msg
);
}
} );
QUnit.test( 'getAnnotatedRangeFromOffset', 1, function ( assert ) {
var i, data, doc,
cases = [
{
'msg': 'a bold word',
'data': [
// 0
'a',
// 1
['b', [ { 'type': 'textStyle/bold' } ]],
// 2
['o', [ { 'type': 'textStyle/bold' } ]],
// 3
['l', [ { 'type': 'textStyle/bold' } ]],
// 4
['d', [ { 'type': 'textStyle/bold' } ]],
// 5
'w',
// 6
'o',
// 7
'r',
// 8
'd'
],
'annotation': { 'type': 'textStyle/bold' },
'offset': 3,
'expected': new ve.Range( 1, 5 )
},
{
'msg': 'a linked',
'data': [
// 0
'x',
// 1
'x',
// 2
'x',
// 3
['l', [ { 'type': 'link' } ]],
// 4
['i', [ { 'type': 'link' } ]],
// 5
['n', [ { 'type': 'link' } ]],
// 6
['k', [ { 'type': 'link' } ]],
// 7
'x',
// 8
'x',
// 9
'x'
],
'annotation': { 'type': 'link' },
'offset': 3,
'expected': new ve.Range( 3, 7 )
},
{
'msg': 'bold over an annotated leaf node',
'data': [
// 0
'h',
// 1
['b', [ { 'type': 'textStyle/bold' } ]],
// 2
['o', [ { 'type': 'textStyle/bold' } ]],
// 3
{
'type': 'image',
'attributes': { 'html/src': ve.dm.example.imgSrc },
'annotations': [ { 'type': 'textStyle/bold' }]
},
// 4
{ 'type': '/image' },
// 5
['l', [ { 'type': 'textStyle/bold' } ]],
// 6
['d', [ { 'type': 'textStyle/bold' } ]],
// 7
'i'
],
'annotation': { 'type': 'textStyle/bold' },
'offset': 3,
'expected': new ve.Range( 1, 7 )
}
];
QUnit.expect( cases.length );
for ( i = 0; i < cases.length; i++ ) {
data = ve.dm.example.preprocessAnnotations( cases[i].data );
doc = new ve.dm.Document( data );
assert.deepEqual(
doc.data.getAnnotatedRangeFromOffset( cases[i].offset,
ve.dm.example.createAnnotation( cases[i].annotation ) ),
cases[i].expected,
cases[i].msg
);
}
} );
QUnit.test( 'trimOuterSpaceFromRange', function ( assert ) {
var i, elementData,
data = [
// 0
{ 'type': 'paragraph' },
// 1
' ',
// 2
'F',
// 3
'o',
// 4
'o',
// 5
' ',
// 6
' ',
// 7
[ ' ', ve.dm.example.bold ],
// 8
[ ' ', ve.dm.example.italic ],
// 9
[ 'B', ve.dm.example.italic ],
// 10
'a',
// 11
'r',
// 12
' ',
// 13
{ 'type': '/paragraph' }
// 14
],
cases = [
{
'msg': 'Word without spaces is untouched',
'range': new ve.Range( 2, 5 ),
'trimmed': new ve.Range( 2, 5 )
},
{
'msg': 'Consecutive words with spaces in between but not at the edges are untouched',
'range': new ve.Range( 2, 12 ),
'trimmed': new ve.Range( 2, 12 )
},
{
'msg': 'Single space is trimmed from the start',
'range': new ve.Range( 1, 4 ),
'trimmed': new ve.Range( 2, 4 )
},
{
'msg': 'Single space is trimmed from the end',
'range': new ve.Range( 3, 6 ),
'trimmed': new ve.Range( 3, 5 )
},
{
'msg': 'Single space is trimmed from both sides',
'range': new ve.Range( 1, 6 ),
'trimmed': new ve.Range( 2, 5 )
},
{
'msg': 'Different number of spaces trimmed on each side',
'range': new ve.Range( 1, 7 ),
'trimmed': new ve.Range( 2, 5 )
},
{
'msg': 'Annotated spaces are trimmed correctly from the end',
'range': new ve.Range( 3, 9 ),
'trimmed': new ve.Range( 3, 5 )
},
{
'msg': 'Annotated spaces are trimmed correctly from the start',
'range': new ve.Range( 7, 10 ),
'trimmed': new ve.Range( 9, 10 )
},
{
'msg': 'Trimming annotated spaces at the end and plain spaces at the start',
'range': new ve.Range( 1, 9 ),
'trimmed': new ve.Range( 2, 5 )
},
{
'msg': 'Spaces are trimmed from the ends but not in the middle',
'range': new ve.Range( 1, 13 ),
'trimmed': new ve.Range( 2, 12 )
},
{
'msg': 'All-whitespace range is trimmed to empty range',
'range': new ve.Range( 5, 9 ),
'trimmed': new ve.Range( 5, 5 )
}
];
QUnit.expect( cases.length );
elementData = ve.dm.example.preprocessAnnotations( data );
for ( i = 0; i < cases.length; i++ ) {
assert.deepEqual(
elementData.trimOuterSpaceFromRange( cases[i].range ),
cases[i].trimmed,
cases[i].msg
);
}
} );
QUnit.test( 'isContentOffset', 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': false },
{ 'msg': 'begining of content branch', 'expected': true },
{ 'msg': 'left of non-text inline leaf', 'expected': true },
{ 'msg': 'inside non-text inline leaf', 'expected': false },
{ 'msg': 'right of non-text inline leaf', 'expected': true },
{ 'msg': 'between characters', 'expected': true },
{ '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': 58,
'distance': 2,
'expected': 61
},
{
'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
);
}
} );