MATLAB Programming Fundamentals - MathWorks

Measure Fast Executing Test Code

Performance tests that execute too quickly for MATLAB to measure accurately are filtered

with an assumption failure. With the matlab.perftest.TestCase.keepMeasuring

method, the testing framework can measure significantly faster code by automatically

determining the number of times to iterate through code and measuring the average

performance.

In your current working folder, create a class-based test, PreallocationTest.m, that

compares different methods of preallocation. Since the test methods include

qualifications, use the startMeasuring and stopMeasuring methods to define

boundaries for the code you want to measure.

classdef PreallocationTest < matlab.perftest.TestCase

methods(Test)

function testOnes(testCase)

testCase.startMeasuring

x = ones(1,1e5);

testCase.stopMeasuring

testCase.verifyEqual(size(x),[1 1e5])

end

function testIndexingWithVariable(testCase)

import matlab.unittest.constraints.IsSameSetAs

testCase.startMeasuring

id = 1:1e5;

x(id) = 1;

testCase.stopMeasuring

testCase.verifyThat(x,IsSameSetAs(1))

end

function testIndexingOnLHS(testCase)

import matlab.unittest.constraints.EveryElementOf

import matlab.unittest.constraints.IsEqualTo

testCase.startMeasuring

x(1:1e5) = 1;

testCase.stopMeasuring

testCase.verifyThat(EveryElementOf(x),IsEqualTo(1))

end

function testForLoop(testCase)

testCase.startMeasuring

for i=1:1e5

33 Unit Testing