66 lines
1.8 KiB
PHP
66 lines
1.8 KiB
PHP
<?php
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declare (strict_types = 1);
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namespace tests\Phpml\NeuralNetwork\Node;
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use Phpml\NeuralNetwork\ActivationFunction\BinaryStep;
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use Phpml\NeuralNetwork\Node\Neuron;
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use Phpml\NeuralNetwork\Node\Neuron\Synapse;
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class NeuronTest extends \PHPUnit_Framework_TestCase
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{
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public function testNeuronInitialization()
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{
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$neuron = new Neuron();
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$this->assertEquals([], $neuron->getSynapses());
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$this->assertEquals(0.5, $neuron->getOutput());
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}
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public function testNeuronActivationFunction()
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{
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$activationFunction = $this->getMockBuilder(BinaryStep::class)->getMock();
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$activationFunction->method('compute')->with(0)->willReturn($output = 0.69);
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$neuron = new Neuron($activationFunction);
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$this->assertEquals($output, $neuron->getOutput());
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}
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public function testNeuronWithSynapse()
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{
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$neuron = new Neuron();
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$neuron->addSynapse($synapse = $this->getSynapseMock());
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$this->assertEquals([$synapse], $neuron->getSynapses());
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$this->assertEquals(0.88, $neuron->getOutput(), '', 0.01);
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}
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public function testNeuronRefresh()
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{
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$neuron = new Neuron();
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$neuron->getOutput();
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$neuron->addSynapse($this->getSynapseMock());
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$this->assertEquals(0.5, $neuron->getOutput(), '', 0.01);
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$neuron->refresh();
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$this->assertEquals(0.88, $neuron->getOutput(), '', 0.01);
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}
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/**
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* @param int $output
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*
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* @return Synapse|\PHPUnit_Framework_MockObject_MockObject
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*/
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private function getSynapseMock($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);
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return $synapse;
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}
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}
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