From 62993dd59bbbfcdb07dbb5836d359fad6334f23e Mon Sep 17 00:00:00 2001
From: TinWoodman92 <chrhodgden@gmail.com>
Date: Thu, 8 Feb 2024 16:09:56 -0600
Subject: initial commit

---
 test/unit_tests/activationFunctions.test.js | 23 ++++++++++++++++++++
 test/unit_tests/binaryConverter.test.js     | 33 +++++++++++++++++++++++++++++
 test/unit_tests/layer.test.js               | 15 +++++++++++++
 test/unit_tests/nnetwork.test.js            | 17 +++++++++++++++
 4 files changed, 88 insertions(+)
 create mode 100644 test/unit_tests/activationFunctions.test.js
 create mode 100644 test/unit_tests/binaryConverter.test.js
 create mode 100644 test/unit_tests/layer.test.js
 create mode 100644 test/unit_tests/nnetwork.test.js

(limited to 'test')

diff --git a/test/unit_tests/activationFunctions.test.js b/test/unit_tests/activationFunctions.test.js
new file mode 100644
index 0000000..b7fd570
--- /dev/null
+++ b/test/unit_tests/activationFunctions.test.js
@@ -0,0 +1,23 @@
+console.log('Hello from activationFunctions.test.js');
+
+console.log(activationFunctionList);
+
+let result;
+let testVector = [-2, -1, 0, 1, 2];
+testVector = math.matrix(testVector);
+let testMatrix = math.matrix([testVector, testVector]);
+
+result = activationFunctionList['sigmoid'].gx(testVector);
+console.log(result);
+result = activationFunctionList['sigmoid'].dg_dx(testVector);
+console.log(result);
+
+result = activationFunctionList['relu'].gx(testMatrix);
+console.log(result);
+result = activationFunctionList['relu'].dg_dx(testMatrix);
+console.log(result);
+
+result = activationFunctionList['identity'].gx(testMatrix);
+console.log(result);
+result = activationFunctionList['identity'].dg_dx(testMatrix);
+console.log(result);
diff --git a/test/unit_tests/binaryConverter.test.js b/test/unit_tests/binaryConverter.test.js
new file mode 100644
index 0000000..b6fb503
--- /dev/null
+++ b/test/unit_tests/binaryConverter.test.js
@@ -0,0 +1,33 @@
+const BinaryConverter = require('../../src/binaryConverter');
+const math = require('mathjs');
+
+//import BinaryConverter from 'binaryConverter';
+
+describe('Test BinaryConversion module', () => {
+    
+    let testConverter;
+    let testVector;
+    let testInteger;
+
+    beforeEach(() => {
+        testConverter = new BinaryConverter(2);
+        testInteger = 2;
+        testVector = math.matrix([1, 0]);
+    });
+
+
+    test('convert integer to binary array', () => {
+        testConverter.integer = testInteger;
+        expect(testConverter.inputActivation).toEqual(testVector);
+    });
+
+    test('convert binary array to integer', () => {
+        testConverter.inputActivation = testVector;
+        expect(testConverter.integer).toEqual(testInteger);
+    });
+
+    test.todo('Random array initializes correct integer');
+
+});
+
+
diff --git a/test/unit_tests/layer.test.js b/test/unit_tests/layer.test.js
new file mode 100644
index 0000000..37402d3
--- /dev/null
+++ b/test/unit_tests/layer.test.js
@@ -0,0 +1,15 @@
+console.log('Hello from layer.test.js');
+
+let testLayer = new Layer(2, 3, 'relu');
+let testConv = new BinaryConverter(2);
+
+console.log(testLayer);
+console.log(testConv.randomInput());
+
+console.log(testLayer.forwardPropogation(testConv.inputActivation));
+
+testLayer = new Layer(2, 3, 'sigmoid');
+console.log(testLayer.forwardPropogation(testConv.inputActivation));
+
+testLayer = new Layer(2, 3, 'identity');
+console.log(testLayer.forwardPropogation(testConv.inputActivation));
diff --git a/test/unit_tests/nnetwork.test.js b/test/unit_tests/nnetwork.test.js
new file mode 100644
index 0000000..efc3f6e
--- /dev/null
+++ b/test/unit_tests/nnetwork.test.js
@@ -0,0 +1,17 @@
+console.log('Hello from nnetwork.test.js');
+
+let testConv = new BinaryConverter(2);
+let nodeCounts = [testConv._inputDigits, 3, testConv._outputDigits];
+let afns = ['identity', 'relu', 'identity'];
+
+let testNNetwork = new NNetwork(nodeCounts, afns, 0.1);
+
+console.log(testConv.randomInput());
+console.log(testNNetwork.forwardPropogation(testConv.inputActivation));
+console.log(testNNetwork.backPropogation(testConv.inputActivation, testConv.outputActivation));
+
+console.log(testConv.randomInput());
+console.log(testNNetwork.forwardPropogation(testConv.inputActivation));
+console.log(testNNetwork.backPropogation(testConv.inputActivation, testConv.outputActivation));
+
+testNNetwork.gradientDescent();
\ No newline at end of file
-- 
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