本文整理汇总了TypeScript中imagediff.createCanvas函数的典型用法代码示例。如果您正苦于以下问题：TypeScript createCanvas函数的具体用法？TypeScript createCanvas怎么用？TypeScript createCanvas使用的例子？那么, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了createCanvas函数的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的TypeScript代码示例。
示例1: beforeAll
beforeAll(function() {
jasmine.addMatchers(imagediff.jasmine);
canvasState = new CanvasState(imagediff.createCanvas(300, 150), true);
let node = new RawNode(50, 50, 'raw');
canvasState.addShape(node);
event = new MouseEvent('click', { screenX: 50, screenY: 50 });
node.doDown(canvasState, event);
});示例2: it
it('should ignore order of cables_in when wiring', function(){
let pipeline = loadApiPipeline(this.canvasState, this.api_pipeline);
pipeline.draw();
// Now reverse the order of the cables_in
let expectedCanvas = imagediff.createCanvas(600, 300);
let expectedCanvasState = new CanvasState(expectedCanvas, true);
this.api_pipeline.steps[1].cables_in.reverse();
pipeline = loadApiPipeline(expectedCanvasState, this.api_pipeline);
pipeline.draw();
(expect(this.rawCanvas) as any).toImageDiffEqual(
expectedCanvas);
});示例3: beforeAll
beforeAll(function() {
jasmine.addMatchers(imagediff.jasmine);
canvasState = new CanvasState(imagediff.createCanvas(300, 150), true);
});示例4: beforeEach
beforeEach(function() {
var width = 600,
height = 300;
jasmine.addMatchers(imagediff.jasmine);
this.rawCanvas = imagediff.createCanvas(width, height);
this.canvas = new CanvasWrapper(this.rawCanvas);
this.canvasState = new CanvasState(this.rawCanvas, true);
this.api_pipeline = {
"id": 25,
"url": "http://127.0.0.1:8000/api/pipelines/25/",
"family_pk": 2,
"family": "Test",
"revision_name": "",
"revision_desc": "Carl Sagan's science slam-jam",
"revision_number": 3,
"revision_parent": 24,
"revision_DateTime": "2015-06-10T19:36:31.570191Z",
"user": "kive",
"users_allowed": [],
"groups_allowed": [],
"inputs": [{
"dataset_name": "input2",
"dataset_idx": 1,
"x": 0.15,
"y": 0.15,
"structure": {
"compounddatatype": 9,
"min_row": null,
"max_row": null
}
}, {
"dataset_name": "input1",
"dataset_idx": 2,
"x": 0.05,
"y": 0.3,
"structure": null
}],
"outputs": [{
"dataset_name": "unmapped2_fastq",
"dataset_idx": 1,
"x": 0.637772562280456,
"y": 0.633208895290869,
"structure": null
}, {
"dataset_name": "unmapped1_fastq",
"dataset_idx": 2,
"x": 0.637772562280456,
"y": 0.633208895290869,
"structure": null
}, {
"dataset_name": "remap_conseq",
"dataset_idx": 3,
"x": 0.637772562280456,
"y": 0.633208895290869,
"structure": {
"compounddatatype": 10,
"min_row": null,
"max_row": null
}
}, {
"dataset_name": "remap",
"dataset_idx": 4,
"x": 0.637772562280456,
"y": 0.633208895290869,
"structure": {
"compounddatatype": 8,
"min_row": null,
"max_row": null
}
}, {
"dataset_name": "remap_counts",
"dataset_idx": 5,
"x": 0.637772562280456,
"y": 0.633208895290869,
"structure": {
"compounddatatype": 9,
"min_row": null,
"max_row": null
}
}],
"steps": [{
"transformation": 4,
"transformation_family": 3,
"step_num": 1,
"outputs_to_delete": [],
"x": 0.344662650584514,
"y": 0.5,
"name": "prelim_map.py",
"cables_in": [{
"source_step": 0,
"source": 143,
"source_dataset_name": "input1",
"dest": 7,
"dest_dataset_name": "fastq1",
"custom_wires": [],
"keep_output": false
}, {
"source_step": 0,
//.........这里部分代码省略.........
示例5: beforeEach
beforeEach(function() {
let width = 600,
height = 300;
jasmine.addMatchers(imagediff.jasmine);
this.rawCanvas = imagediff.createCanvas(width, height);
this.canvas = new CanvasWrapper(this.rawCanvas);
this.canvasState = new CanvasState(this.rawCanvas, true);
$error = $('<div>').appendTo('body').hide();
this.api_pipeline = {
"files": [
"prelim_map.py",
"remap.py",
"helper.py"
],
"pipeline": {
"kive_version": "0.14",
"default_config": {
"parent_family": "sample",
"parent_tag": "basic",
"parent_md5": "8dab0b3c7b7d812f0ba4819664be8acb",
"memory": 100,
"threads": 1
},
"inputs": [{
"dataset_name": "input2",
"x": 0.15,
"y": 0.15,
}, {
"dataset_name": "input1",
"x": 0.05,
"y": 0.3,
}],
"outputs": [{
"dataset_name": "unmapped2_fastq",
"source_step": 2,
"source_dataset_name": "unmapped2_fastq",
"x": 0.637772562280456,
"y": 0.633208895290869,
}, {
"dataset_name": "unmapped1_fastq",
"source_step": 2,
"source_dataset_name": "unmapped1_fastq",
"x": 0.637772562280456,
"y": 0.633208895290869,
}, {
"dataset_name": "remap_conseq",
"source_step": 2,
"source_dataset_name": "remap_conseq",
"x": 0.637772562280456,
"y": 0.633208895290869,
}, {
"dataset_name": "remap",
"source_step": 2,
"source_dataset_name": "remap",
"x": 0.637772562280456,
"y": 0.633208895290869,
}, {
"dataset_name": "remap_counts",
"source_step": 2,
"source_dataset_name": "remap_counts",
"x": 0.637772562280456,
"y": 0.633208895290869,
}],
"steps": [{
"x": 0.344662650584514,
"y": 0.5,
"driver": "prelim_map.py",
"inputs": [{
"dataset_name": "fastq1",
"source_step": 0,
"source_dataset_name": "input1",
}, {
"dataset_name": "fastq2",
"source_step": 0,
"source_dataset_name": "input2",
}],
"outputs": ["prelim"],
}, {
"x": 0.450583501602465,
"y": 0.257130788000083,
"driver": "remap.py",
"inputs": [{
"dataset_name": "fastq1",
"source_step": 0,
"source_dataset_name": "input1",
}, {
"dataset_name": "fastq2",
"source_step": 0,
"source_dataset_name": "input2",
}, {
"dataset_name": "prelim",
"source_step": 1,
"source_dataset_name": "prelim",
}],
"outputs": [
"remap",
"remap_counts",
//.........这里部分代码省略.........