php-ml/tests/NeuralNetwork/LayerTest.php

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<?php
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declare(strict_types=1);
namespace Phpml\Tests\NeuralNetwork;
use Phpml\Exception\InvalidArgumentException;
use Phpml\NeuralNetwork\Layer;
use Phpml\NeuralNetwork\Node\Bias;
use Phpml\NeuralNetwork\Node\Neuron;
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use PHPUnit\Framework\TestCase;
use stdClass;
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class LayerTest extends TestCase
{
public function testLayerInitialization(): void
{
$layer = new Layer();
$this->assertEquals([], $layer->getNodes());
}
public function testLayerInitializationWithDefaultNodesType(): void
{
$layer = new Layer($number = 5);
$this->assertCount($number, $layer->getNodes());
foreach ($layer->getNodes() as $node) {
$this->assertInstanceOf(Neuron::class, $node);
}
}
public function testLayerInitializationWithExplicitNodesType(): void
{
$layer = new Layer($number = 5, $class = Bias::class);
$this->assertCount($number, $layer->getNodes());
foreach ($layer->getNodes() as $node) {
$this->assertInstanceOf($class, $node);
}
}
public function testThrowExceptionOnInvalidNodeClass(): void
{
$this->expectException(InvalidArgumentException::class);
new Layer(1, stdClass::class);
}
public function testAddNodesToLayer(): void
{
$layer = new Layer();
$layer->addNode($node1 = new Neuron());
$layer->addNode($node2 = new Neuron());
$this->assertEquals([$node1, $node2], $layer->getNodes());
}
}