Skip to main content

React - setting value for all array of objects

I'm creating a simple tracker that has a state checking if the button is either false (not checked) or true (checked).

The structure of my data is something like this:

const [test, setTest] = useState([
  {
    character: 1,
    two: [
      { name: "one", id: 1, check: false },
      { name: "two", id: 2, check: true },
    ],
  },
  {
    character: 2,
    two: [
      { name: "one", id: 1, check: true },
      { name: "two", id: 2, check: false },
    ],
  },
])

I tried creating a function that resets all of the check values back to false.

The user can delete a character or add more so I need to reset all character checks at the same time. I managed to do this but I'm not sure if the method I used is acceptable or not.

The only way I could solve this is to create a variable which has the value of my test state then make changes to the array and at the end; set my test state to equal the array.

    let array = test

array.forEach((arr, index) => {
  array = ([
    ...array.slice(0, index),
    {
      character: arr.character,
      two: [
        { name: "one", id: 1, check: false },
        { name: "two", id: 2, check: false },
      ],
    },
    ...array.slice(index + 1)
  ])
})

setTest(array)

I spent some time trying to make this work using only the test state but always encountered the same issue that it would only reset the two checks of the last character in the array.

If anyone could help me with understanding this better and if there is a way to write this without having to use a variable(array) that would be great, thanks.

edit: I forgot to include that the two array will sometimes have more or less objects in the array so would need to change all their values. example:

 [{
  character: 1,
  two: [
    { name: "one", id: 1, check: false },
    { name: "two", id: 2, check: true },
  ],
},
{
  character: 2,
  two: [
    { name: "one", id: 1, check: true },
    { name: "two", id: 2, check: false },
    { name: "three", id: 3, check: false },
    { name: "four", id: 4, check: true },
  ],
},

]

Via Active questions tagged javascript - Stack Overflow https://ift.tt/KjX7o82

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...