php-ml/tests/NeuralNetwork/Node/NeuronTest.php

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<?php
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declare(strict_types=1);
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namespace Phpml\Tests\NeuralNetwork\Node;
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use Phpml\NeuralNetwork\ActivationFunction\BinaryStep;
use Phpml\NeuralNetwork\Node\Neuron;
use Phpml\NeuralNetwork\Node\Neuron\Synapse;
use PHPUnit\Framework\MockObject\MockObject;
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use PHPUnit\Framework\TestCase;
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class NeuronTest extends TestCase
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{
public function testNeuronInitialization(): void
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{
$neuron = new Neuron();
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self::assertEquals([], $neuron->getSynapses());
self::assertEquals(0.5, $neuron->getOutput());
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}
public function testNeuronActivationFunction(): void
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{
/** @var BinaryStep|MockObject $activationFunction */
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$activationFunction = $this->getMockBuilder(BinaryStep::class)->getMock();
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$activationFunction->method('compute')->with(0)->willReturn($output = 0.69);
$neuron = new Neuron($activationFunction);
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self::assertEquals($output, $neuron->getOutput());
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}
public function testNeuronWithSynapse(): void
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{
$neuron = new Neuron();
$neuron->addSynapse($synapse = $this->getSynapseMock());
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self::assertEquals([$synapse], $neuron->getSynapses());
self::assertEqualsWithDelta(0.88, $neuron->getOutput(), 0.01);
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}
public function testNeuronRefresh(): void
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{
$neuron = new Neuron();
$neuron->getOutput();
$neuron->addSynapse($this->getSynapseMock());
self::assertEqualsWithDelta(0.5, $neuron->getOutput(), 0.01);
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$neuron->reset();
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self::assertEqualsWithDelta(0.88, $neuron->getOutput(), 0.01);
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}
/**
* @return Synapse|MockObject
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*/
private function getSynapseMock(float $output = 2.)
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{
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$synapse = $this->getMockBuilder(Synapse::class)->disableOriginalConstructor()->getMock();
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$synapse->method('getOutput')->willReturn($output);
return $synapse;
}
}