fans | 这是一个app 项目，但页面视图全部都用的是html5页，没有使用app的原生页面。 | State Container library

I'm trying to apply a lodash throttle for the first time.

I know that the throttle has to be applied inside of a useCallback or it will be called every re-render (in my case, with every new keystroke of a user search).

The code I have is valid, and the logic seems to make sense - but the throttle isn't being applied, and so the api call is being made every single keystroke.

Any pointers as to where my logic is failing?

The discriminatorKey won't be filled up automatically. In other words, I cannot find the kind field on the saved document.

Database Module

Assuming the model:

I have a document

So here is the bulk of the code (Minus other pages, the css files, other js files, basically files unrelated to the question)

I am very happy with how this loads and creates the table and all of that. What I am trying to figure out now is how I can place this excel file on the server (Not on the user's pc) and have it automatically select the excel file on page load. The file will be stored in "Files/Data.xlsx"

This page is Inventory.html

Hey I'm trying to make a simple countdown timer that counts down until my exams. It technically works but the way I've coded the "days" number being written is really inefficient. I had to do it this way though because when I had two texts being written (see code snippet below), the latter one would always blink.

Here's my problem if I don't use a
after

So I added the
, and now I have this result:

I used some margin to reduce the size of the blank space, but I'd like to be close such as this result I designed:

Here's my HTML code:

I have a code that takes a DNA string, in which only 4 characters are found: A, C, T and G, for example "ATACAAG", and for each character if finds the 3 other possible characters. The code includes a loop for the string and another loop for a list of the possible characters. The issue is that the strings are very long: up to hundreds of thousands of characters, so it's not fast and the computer get heated (it's fans start working fast).

I'm looking for a faster way to do it. I tried list comprehension but it's still rather slow. I also tried calling the code as a function from a pandas lambda and it still takes about a minute for each string. Is that the best I can get?

For each character, the code records 3 alternatives in separate lines in a file.

The code: