Support Deno-client

README.md

@@ -1,4 +1,4 @@
-# Interactive data generation and fitting with TensorFlow.js [![](https://github.com/nurlicht/TensorFlow/actions/workflows/node.js.yml/badge.svg)](https://github.com/nurlicht/TensorFlow/actions)
+# Interactive data generation and fitting [![](https://github.com/nurlicht/TensorFlow/actions/workflows/node.js.yml/badge.svg)](https://github.com/nurlicht/TensorFlow/actions)[![](https://github.com/nurlicht/TensorFlow/actions/workflows/deno.yml/badge.svg)](https://github.com/nurlicht/TensorFlow/actions)
 
 ### Background
 See the codelab [TensorFlow.js — Making Predictions from 2D Data](https://codelabs.developers.google.com/codelabs/tfjs-training-regression) for an introduction to TenosrFlow.js and also to the use-case and the code here.
@@ -17,10 +17,18 @@ See the codelab [TensorFlow.js — Making Predictions from 2D Data](https://code
 
 ### Execution
 - Browser client
-  - Double-click on the file [index.html](./src/html/index.html) (or open it with your browser of choice). No server is needed. There is no node.js dependency.
+  - Double-click on the file [index.html](./src/html/index.html) (or open it with your browser of choice). No server is needed.
 - Node.js client
-  - Run the script ```npm install``` and then ```npm test```.
+  - Run the command ```npm install``` and then ```npm test```.
   - An example of this client is the [GitHub Action](./.github/workflows/node.js.yml) of this project.  
+- Deno client
+  - Run the command ```Deno test ./tests/javascript/deno/test.js --allow-read```.
+  - An example of this client is the [GitHub Action](./.github/workflows/deno.yml) of this project.
+	- If the main client is a Deno-client, it is recommended that the main code be imported in the test file. The current implementation is based on the restriction to support 3 different clients.
+
+### CI/CD
+ - GitHub Action for [node.js](./.github/workflows/node.js.yml)
+ - GitHub Action for [Deno](./.github/workflows/deno.yml)
 
 ### Snapshot of Control-Parameters and Outputs
   The sliders for ```epochs``` (250 vs. 400) and ```noise``` (2.5% vs. 5%) provide a dynamic and user-defined compromise between <i>accuracy</i> and <i>speed</i> (Note that these stochastic results are reproducible only in a statistical sense).

package.json

@@ -4,11 +4,9 @@
   "description": "",
   "main": "./src/javascript/index.js",
   "type": "module",
-  "directories": {
-    "test": "./test/javascript"
-  },
+  "directories": {},
   "scripts": {
-    "test": "jest"
+    "test": "jest ./tests/javascript/node"
   },
   "keywords": [],
   "author": "",

src/javascript/index.js

@@ -336,6 +336,12 @@ class Controller {
 
 class App {
   static async run(inputDataParameters) {
+    // Set inputDataParameters if not done
+    if (typeof inputDataParameters !== 'object') {
+      inputDataParameters = InputDataParameters.default();
+      console.warn('inputDataParameters was set to defaults.')
+    }
+
     // Initialize the scatter-plot
     View.showScatterPlot([]);
 
@@ -385,5 +391,12 @@ class App {
   }
 }
 
-exports.App = App;
-exports.InputDataParameters = InputDataParameters;
+if (typeof Deno !== 'undefined' && Deno.version) {
+  console.log('Deno is defined.');
+} else if (typeof module !== 'undefined' && module.exports) {
+  console.log('Node is defined.');
+  module.exports.App = App;
+  module.exports.InputDataParameters = InputDataParameters;
+} else {
+  console.log('Browser is defined.');
+}

tests/javascript/deno/test.js

@@ -0,0 +1,20 @@
+import tfjs from 'npm:@tensorflow/tfjs';
+import { assert } from "https://deno.land/std@0.211.0/assert/mod.ts";
+const codeAsString = Deno.readTextFileSync('./src/javascript/index.js');
+
+Deno.test('Health-Check', async () => {
+    assert((await new Promise((res, rej) => res(4))) === 4);
+}, 1000);
+
+Deno.test('TFJS app can be started and the fitted results are valid.', async () => {
+    const tfjsApi = {tf: tfjs, tfvis: {render: {scatterplot: ()=>{}}}};
+    const code = codeAsString + 'App.start(undefined, tfjsApi);';
+    const result = await eval(code);
+    assert(typeof result === 'object')
+    assert(Array.isArray(result));
+    assert(result.length === 2);
+    assert(Array.isArray(result[0]));
+    assert(Array.isArray(result[1]));
+    assert(result[1].length === 400);
+    assert(result[1][0].x === 0.5);
+}, 50000);

test/javascript/test.js → tests/javascript/node/test.js

@@ -1,5 +1,5 @@
 const tfjs = require('@tensorflow/tfjs');
-const AppModule = require('../../src/javascript/index.js');
+const AppModule = require('../../../src/javascript/index.js');
 const App = AppModule.App;
 const InputDataParameters = AppModule.InputDataParameters;