test abstraction from LayeredNetwork

tests/Phpml/NeuralNetwork/Network/LayeredNetworkTest.php

@@ -0,0 +1,53 @@
+<?php
+
+declare (strict_types = 1);
+
+namespace tests\Phpml\NeuralNetwork\Network;
+
+use Phpml\NeuralNetwork\Layer;
+use Phpml\NeuralNetwork\Network\LayeredNetwork;
+use Phpml\NeuralNetwork\Node\Input;
+
+class LayeredNetworkTest extends \PHPUnit_Framework_TestCase
+{
+    public function testLayersSettersAndGetters()
+    {
+        $network = $this->getLayeredNetworkMock();
+
+        $network->addLayer($layer1 = new Layer());
+        $network->addLayer($layer2 = new Layer());
+
+        $this->assertEquals([$layer1, $layer2], $network->getLayers());
+    }
+
+    public function testGetLastLayerAsOutputLayer()
+    {
+        $network = $this->getLayeredNetworkMock();
+        $network->addLayer($layer1 = new Layer());
+
+        $this->assertEquals($layer1, $network->getOutputLayer());
+
+        $network->addLayer($layer2 = new Layer());
+        $this->assertEquals($layer2, $network->getOutputLayer());
+    }
+
+    public function testSetInputAndGetOutput()
+    {
+        $network = $this->getLayeredNetworkMock();
+        $network->addLayer(new Layer(2, Input::class));
+
+        $network->setInput($input = [34, 43]);
+        $this->assertEquals($input, $network->getOutput());
+
+        $network->addLayer(new Layer(1));
+        $this->assertEquals([0.5], $network->getOutput());
+    }
+
+    /**
+     * @return LayeredNetwork
+     */
+    private function getLayeredNetworkMock()
+    {
+        return $this->getMockForAbstractClass(LayeredNetwork::class);
+    }
+}