Skip to main content

Why doesn't the opacity of the image increase according to the following description?

The following code snippet is supposed to increase the opacity of a certain image(its id is 'img') by 0.01 per every 10 milliseconds until its opacity is set to 1.

    ```var t;
    
    var frontimage=document.getElementById('img'); 
 
    frontimage.style.top=200+'px';
    frontimage.style.opacity=0;                                     //line x
    frontimage.style.left=200+'px';
    frontimage.style.width=500+'px';
    frontimage.style.height=300+'px';

    function right(){
       
     if(frontimage.style.opacity>=0 && frontimage.style.opacity<1){ //condition
        frontimage.style.opacity=frontimage.style.opacity+0.01;     //first statement
        console.log(frontimage.style.opacity);
      
     }else{
        window.clearInterval(t);
        
     }
    }

 t=  window.setInterval(right,10);```

I believe that the 1st statement after the if condition(lets just call it as the first statement for now) gets executed only once while the other statement in the same condition gets executed perfectly as long as the condition remains true. The first statement is supposed to increase the opacity of the image by 0.01. The reason why I say that the first statement gets executed only once is because the 2nd statement of the same condition, which is supposed to display the opacity of the image on the console always displays 0.01(the opacity had been set to 0 before). Could someone please explain to me as to why the first statement gets executed only once when it is supposed to get executed until the condition remains true?

FYI the following code snippet has been created by modifying the 'line x', 'if condition' and the 'first statement' of the above code snippet and is supposed to decrease the opacity of the same image by 0.01 per every 10 milliseconds. This code gets executed perfectly.

        var frontimage=document.getElementById('img');
     
        frontimage.style.top=200+'px';
        frontimage.style.opacity=1;
        frontimage.style.left=200+'px';
        frontimage.style.width=500+'px';
        frontimage.style.height=300+'px';

        function right(){
           
         if(frontimage.style.opacity>0 && frontimage.style.opacity<=1){
            frontimage.style.opacity=frontimage.style.opacity-0.01;
            console.log(frontimage.style.opacity);
          
         }else{
            window.clearInterval(t);
        
         }
        }

     t=  window.setInterval(right,10);
Via Active questions tagged javascript - Stack Overflow https://ift.tt/YJ4cKdB

Labels

Labels:

Comments

Post a Comment

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...
Post a Comment
Read more

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
Post a Comment
Read more

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...
Post a Comment
Read more