本文整理汇总了TypeScript中vs/editor/test/common/model/linesTextBuffer/textBufferAutoTestUtils.generateRandomChunkWithLF函数的典型用法代码示例。如果您正苦于以下问题：TypeScript generateRandomChunkWithLF函数的具体用法？TypeScript generateRandomChunkWithLF怎么用？TypeScript generateRandomChunkWithLF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generateRandomChunkWithLF函数的2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: PieceTreeTextBufferBuilder
/*---------------------------------------------------------------------------------------------
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT License. See License.txt in the project root for license information.
*--------------------------------------------------------------------------------------------*/
'use strict';
import { PieceTreeTextBufferBuilder } from 'vs/editor/common/model/pieceTreeTextBuffer/pieceTreeTextBufferBuilder';
import { ITextBufferBuilder } from 'vs/editor/common/model';
import { generateRandomChunkWithLF } from 'vs/editor/test/common/model/linesTextBuffer/textBufferAutoTestUtils';
import { doBenchmark } from 'vs/editor/test/common/model/benchmark/benchmarkUtils';
let pieceTreeTextBufferBuilder = new PieceTreeTextBufferBuilder();
let chunks: string[] = [];
for (let i = 0; i < 100; i++) {
chunks.push(generateRandomChunkWithLF(16 * 1000, 64 * 1000));
}
let modelBuildBenchmark = function (id: string, builders: ITextBufferBuilder[], chunkCnt: number) {
doBenchmark(id, builders, builder => {
for (let i = 0, len = Math.min(chunkCnt, chunks.length); i < len; i++) {
builder.acceptChunk(chunks[i]);
}
builder.finish();
});
};
console.log(`|model builder\t|line buffer\t|piece table\t|`);
console.log('|---|---|---|');
for (let i of [10, 100]) {
modelBuildBenchmark(`${i} random chunks`, [pieceTreeTextBufferBuilder], i);示例2: generateRandomChunkWithLF
{
id: 'random edits',
generateEdits: generateRandomEdits
},
{
id: 'sequential inserts',
generateEdits: generateSequentialInserts
}
];
for (let fileSize of fileSizes) {
let chunks: string[] = [];
let chunkCnt = Math.floor(fileSize / (64 * 1000));
if (chunkCnt === 0) {
chunks.push(generateRandomChunkWithLF(fileSize, fileSize));
} else {
let chunk = generateRandomChunkWithLF(64 * 1000, 64 * 1000);
// try to avoid OOM
for (let j = 0; j < chunkCnt; j++) {
chunks.push(Buffer.from(chunk + j).toString());
}
}
for (let editType of editTypes) {
const edits = editType.generateEdits(chunks, 1000);
let editsSuite = new BenchmarkSuite({
name: `File Size: ${fileSize}Byte, ${editType.id}`,
iterations: 10
});