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