Skip to main content

Why is the default running even though the num is set to 1?

let spans = document.querySelector(`#spans`);
let hrs = document.querySelector(`#hrs`);
let mins = document.querySelector(`#mins`);
let secs = document.querySelector(`#secs`);
let start = document.querySelector(`#start`);
let stop = document.querySelector(`#stop`);
spans.style.fontSize = "10em";
let preFix = 0;
let num = 1;
let secspreNum= 0;
let minspreNum = 0;
let hrspreNum = 0;
let myFunc = ()=> {
    setInterval(()=>{
        switch (num){
            case num===1:
                mins.innerHTML = `0` + num;
                num ===0;
                secs.innerHTML =`0`+  num++; 
                
            default:
                console.log(`default test`)
        }
      
     } , 1000);
};


start.addEventListener(`click`,myFunc)       
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Document</title>
</head>
<body>
    <div id="spans">
    <span id="hrs">00</span>:<span id="mins">00</span>:<span id="secs">00</span><br></div>
    <button id="start">Start</button>
    <button id="stop">Stop</button>

    <script src="go2.js"></script>
</body>
</html>

Hello, I'm trying to make a stopwatch atm but I got stuck into a problem. Trying to use the switch statement to set the mins to add up a number if the secs reach 10. But before doing that I've been testing this switch statement and for some reason it runs default statement instead of case . Why is it like that? I set the num variable to 1 and it still runs the default one instead of num===1 . Did I missunderstood something? Thanks !

Via Active questions tagged javascript - Stack Overflow https://ift.tt/2FdjaAW

Comments

Popular posts from this blog

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...

Sorting large arrays of big numeric stings

I was solving bigSorting() problem from hackerrank: Consider an array of numeric strings where each string is a positive number with anywhere from to digits. Sort the array's elements in non-decreasing, or ascending order of their integer values and return the sorted array. I know it works as follows: def bigSorting(unsorted): return sorted(unsorted, key=int) But I didnt guess this approach earlier. Initially I tried below: def bigSorting(unsorted): int_unsorted = [int(i) for i in unsorted] int_sorted = sorted(int_unsorted) return [str(i) for i in int_sorted] However, for some of the test cases, it was showing time limit exceeded. Why is it so? PS: I dont know exactly what those test cases were as hacker rank does not reveal all test cases. source https://stackoverflow.com/questions/73007397/sorting-large-arrays-of-big-numeric-stings

How to load Javascript with imported modules?

I am trying to import modules from tensorflowjs, and below is my code. test.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Document</title </head> <body> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js"></script> <script type="module" src="./test.js"></script> </body> </html> test.js import * as tf from "./node_modules/@tensorflow/tfjs"; import {loadGraphModel} from "./node_modules/@tensorflow/tfjs-converter"; const MODEL_URL = './model.json'; const model = await loadGraphModel(MODEL_URL); const cat = document.getElementById('cat'); model.execute(tf.browser.fromPixels(cat)); Besides, I run the server using python -m http.server in my command prompt(Windows 10), and this is the error prompt in the console log of my browser: Failed to loa...