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antutu-for-scripts

v0.0.3

Published

Shows the results in the form of a table for which script how many resources were spent

Readme

Antutu-for-scripts

Node.js progressive library to find out which script spends how many resources

Description

Shows the results in the form of a table for which script how many resources were spent

Installation

$ npm install antutu-for-scripts --save

Features

benchmark

benchmark(pathToFile:string, numOfIterations: (string | number), numOfRuns: (string | number))

Runs the test numOfRuns times with numOfIterations times iterations

	[
	  {
		title: 'Loop for',
		Cpu: 80.5,
		Memory: 1.8302,
		Time: 0.08496,
		infelicity: 0.03824,
		diffTime: '0.0000'
	  },
	  {
		title: 'Loop forEach',
		Cpu: 84.5,
		Memory: 1.84399,
		Time: 0.09969,
		infelicity: 0.02917,
		diffTime: '17.3376'
	  },
	  {
		title: 'Loop while',
		Cpu: 91.5,
		Memory: 1.81529,
		Time: 0.17535,
		infelicity: 0.10882,
		diffTime: '106.3912'
	  }
	]

print

print(resultOfBenchmark)

Prints the results as a table

Name of test | CPU (%) | RAM (mb) | Time (ms) | Infelicity time (ms) | Difference from best time (%) ------------------ | ------------------ | ------------------ | ------------------ | ------------------ | ------------------ Loop forEach | 83.75 | 1.8375 | 0.06969 | 0.10882 | 106.3912

Structure of test file

	module.exports = {
		title: 'Test file name',
		tests: [
			{
				title: 'Test name',
				method() {
					 // Сall or write a script that we want to test
				}
			},
		]
	};

Usage

For projects in javascript:

	 import {benchmark, print} from 'antutu-for-scripts';

	 try {
		 (async () => {
			 const benchmarkResult = await benchmark(pathToFile, numOfIterations, numOfRuns);
		 	 print(benchmarkResult);
		 })()
	 } catch(e) {
		 console.log(e.message);
		 process.exit(1);
	 }

For projects in typescript:

	import {benchmark, print, IBenchmarkResult} from 'antutu-for-scripts';
	
	try {
		 (async () => {
			 const benchmarkResult: IBenchmarkResult = await benchmark(pathToFile, numOfIterations, numOfRuns);
			 print(benchmarkResult);
		 })()
	 } catch(e) {
		 console.log(e.message);
		 process.exit(1);
	 }