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    const torch = require("js-pytorch");

    // Instantiate Tensors:
    x = torch.randn([8,4,5]);
    w = torch.randn([8,5,4], requires_grad = true);
    b = torch.tensor([0.2, 0.5, 0.1, 0.0], requires_grad = true);

    class Transformer extends nn.Module {
      constructor(vocab_size, hidden_size, n_timesteps, n_heads, p) {
        //.....
        this.b1 = new nn.Block(hidden_size, hidden_size, n_heads, n_timesteps, dropout_p=p);

    /**
     * All of the arguments for this function are positional
     * and cannot be provided in a different order than defined
     */
    function performOperation(values, arg1 = false, arg2 = -1) {
        //....
    }

    /**
     * This works, but only because of the order
     */
    const result = performOperation([1, 2, 3], arg1 = true, arg2 = 10);

    /**
     * This does not work
     */
    const result = performOperation([1, 2, 3], arg2 = 10, arg1 = true);

    /**
     \* What is actually happening
     \*/
    arg1 = true; // global variable
    arg2 = 10;   // global variable

    const result = performOperation([1, 2, 3], 10, true);