Skip to main content

Is it possible to access the event object in a function without having to pass it in?

So i have this equalizer function here, which gives all elements the same minHeight. The function uses lodash's throttle function and executes everytime the window resizes and on load.

export const equalizer = throttle((elems, e, stopAt = 0) => {
  const elements = [...document.querySelectorAll(elems)];

  const setMinHeight = (el) => el.style.minHeight = '0px';

  if (e.type === 'resize') elements.forEach(setMinHeight);

  const minHeight = elements.reduce((acc, cur) => {
    if (cur.clientHeight >= acc) return cur.clientHeight;
    if (acc >= cur.clientHeight) return acc;
  }, 0);

  elements.forEach((el) => (el.style.minHeight = `${minHeight}px`));

}, 500);

So the "problem" now is that everytime I call this function I have to pass in the event object (because of e.type === "resize" ) and I want to know if there is a way to avoid that.

['load', 'resize'].forEach((event) => {
  window.addEventListener(event, function (e) {
    equalizer('.comment__body p', e);
    equalizer('.comment__header .comment__name', e);
  });
});

I thought that I don't even need to pass in the event object because of closures. And the way I understand closures is that a function has access to it's outer functions variables.

So is there a way to access the event object in this equalizer function without me having to everytime passing it in?

Via Active questions tagged javascript - Stack Overflow https://ift.tt/xcE6ZuR

Comments

Popular posts from this blog

How to split a rinex file if I need 24 hours data

Trying to divide rinex file using the command gfzrnx but getting this error. While doing that getting this error msg 'gfzrnx' is not recognized as an internal or external command Trying to split rinex file using the command gfzrnx. also install'gfzrnx'. my doubt is I need to run this program in 'gfzrnx' or in 'cmdprompt'. I am expecting a rinex file with 24 hrs or 1 day data.I Have 48 hrs data in RINEX format. Please help me to solve this issue. source https://stackoverflow.com/questions/75385367/how-to-split-a-rinex-file-if-i-need-24-hours-data

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