php-ml/tests/NeuralNetwork/Node/Neuron/SynapseTest.php

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<?php
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declare(strict_types=1);
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namespace Phpml\Tests\NeuralNetwork\Node\Neuron;
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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 SynapseTest extends TestCase
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{
public function testSynapseInitialization(): void
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{
$node = $this->getNodeMock($nodeOutput = 0.5);
$synapse = new Synapse($node, $weight = 0.75);
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self::assertEquals($node, $synapse->getNode());
self::assertEquals($weight, $synapse->getWeight());
self::assertEquals($weight * $nodeOutput, $synapse->getOutput());
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$synapse = new Synapse($node);
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$weight = $synapse->getWeight();
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self::assertTrue($weight === -1. || $weight === 1.);
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}
public function testSynapseWeightChange(): void
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{
$node = $this->getNodeMock();
$synapse = new Synapse($node, $weight = 0.75);
$synapse->changeWeight(1.0);
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self::assertEquals(1.75, $synapse->getWeight());
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$synapse->changeWeight(-2.0);
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self::assertEquals(-0.25, $synapse->getWeight());
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}
/**
* @param int|float $output
*
* @return Neuron|MockObject
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*/
private function getNodeMock($output = 1)
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{
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$node = $this->getMockBuilder(Neuron::class)->getMock();
$node->method('getOutput')->willReturn($output);
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return $node;
}
}